Available via license: CC BY-NC 4.0
Content may be subject to copyright.
ENVIRONMENTAL STUDIES
Earth beyond six of nine planetary boundaries
Katherine Richardson
1
*, Will Steen
2
†, Wolfgang Lucht
3,4
, Jørgen Bendtsen
1
, Sarah E. Cornell
5
,
Jonathan F. Donges
3,5
, Markus Drüke
3
, Ingo Fetzer
5,6
, Govindasamy Bala
7
, Werner von Bloh
3
,
Georg Feulner
3
, Stephanie Fiedler
8
, Dieter Gerten
3,4
, Tom Gleeson
9,10
, Matthias Hofmann
3
,
Willem Huiskamp
3
, Matti Kummu
11
, Chinchu Mohan
8,12,13
, David Nogués-Bravo
1
, Stefan Petri
3
,
Miina Porkka
11
, Stefan Rahmstorf
3,14
, Sibyll Schapho
3
, Kirsten Thonicke
3
, Arne Tobian
3,5
,
Vili Virkki
11
, Lan Wang-Erlandsson
3,5,6
, Lisa Weber
8
, Johan Rockström
3,5,15
This planetary boundaries framework update nds that six of the nine boundaries are transgressed, suggesting
that Earth is now well outside of the safe operating space for humanity. Ocean acidication is close to being
breached, while aerosol loading regionally exceeds the boundary. Stratospheric ozone levels have slightly re-
covered. The transgression level has increased for all boundaries earlier identied as overstepped. As primary
production drives Earth system biosphere functions, human appropriation of net primary production is pro-
posed as a control variable for functional biosphere integrity. This boundary is also transgressed. Earth
system modeling of dierent levels of the transgression of the climate and land system change boundaries il-
lustrates that these anthropogenic impacts on Earth system must be considered in a systemic context.
Copyright © 2023 The
Authors, some
rights reserved;
exclusive licensee
American Association
for the Advancement
of Science. No claim to
original U.S. Government
Works. Distributed
under a Creative
Commons Attribution
NonCommercial
License 4.0 (CC BY-NC).
INTRODUCTION
The planetary boundaries framework (1,2) draws upon Earth
system science (3). It identifies nine processes that are critical for
maintaining the stability and resilience of Earth system as a
whole. All are presently heavily perturbed by human activities.
The framework aims to delineate and quantify levels of anthropo-
genic perturbation that, if respected, would allow Earth to remain in
a“Holocene-like”interglacial state. In such a state, global environ-
mental functions and life-support systems remain similar to those
experienced over the past ~10,000 years rather than changing into a
state without analog in human history. This Holocene period, which
began with the end of the last ice age and during which agriculture
and modern civilizations evolved, was characterized by relatively
stable and warm planetary conditions. Human activities have now
brought Earth outside of the Holocene’s window of environmental
variability, giving rise to the proposed Anthropocene epoch (4,5).
Planetary-scale environmental forcing by humans continues and
individual Earth system components are, to an increasing extent, in
disequilibrium in relation to the changing conditions. As a conse-
quence, the post-Holocene Earth is still evolving, and ultimate
global environmental conditions remain uncertain. Paleoclimate re-
search, however, documents that Earth has previously experienced
largely ice-free conditions during warm periods (6,7) with corre-
spondingly different states of the biosphere. It is clearly in human-
ity’s interest to avoid perturbing Earth system to a degree that risks
changing global environmental conditions so markedly. Ice cover is
only one indicator of substantial system-wide change in numerous
other Earth system dimensions. The planetary boundaries frame-
work delineates the biophysical and biochemical systems and pro-
cesses known to regulate the state of the planet within ranges that
are historically known and scientifically likely to maintain Earth
system stability and life-support systems conducive to the human
welfare and societal development experienced during the Holocene.
Currently, anthropogenic perturbations of the global environ-
ment are primarily addressed as if they were separate issues, e.g.,
climate change, biodiversity loss, or pollution. This approach,
however, ignores these perturbations’nonlinear interactions and re-
sulting aggregate effects on the overall state of Earth system. Plane-
tary boundaries bring a scientific understanding of anthropogenic
global environmental impacts into a framework that calls for con-
sidering the state of Earth system as a whole.
For >3 billion years, interactions between the geosphere (energy
flow and nonliving materials in Earth and atmosphere) and bio-
sphere (all living organisms/ecosystems) have controlled global en-
vironmental conditions. Earth system’s state changed in response to
forcings generated by external perturbations (e.g., solar energy
input and bolide strikes) or internal processes in the geosphere
(e.g., plate tectonics and volcanism) or biosphere (e.g., evolution
of photosynthesis and rise of vascular plants). These forcings were
processed through interactions and feedbacks among processes and
systems within Earth system, shaping its often complex overall re-
sponse. Today, human activities with planetary-scale effects act as
additional forcing on Earth system. Thus, the anthroposphere has
become an additional functional component of Earth system (3,
8), capable of altering Earth system state. The planetary boundaries
framework formulates limits to the impact of the anthroposphere
on Earth system by identifying a scientifically based safe operating
1
Globe Institute, Faculty of Health, University of Copenhagen, Copenhagen,
Denmark.
2
Australian National University, Canberra, Australia.
3
Potsdam Institute
for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam,
Germany.
4
Department of Geography, Humboldt-Universität zu Berlin, Berlin,
Germany.
5
Stockholm Resilience Centre, Stockholm University, Stockholm,
Sweden.
6
Bolin Centre for Climate Research, Stockholm University, Stockholm,
Sweden.
7
Centre for Atmospheric and Oceanic Sciences, Indian Institute of
Science, Bangalore, Karnataka –560012, India.
8
GEOMAR Helmholtz Centre for
Ocean Research Kiel and Faculty for Mathematics and Natural Sciences, Chris-
tian-Albrechts-University Kiel, Kiel, Germany.
9
Department of Civil Engineering,
University of Victoria, Victoria, British Columbia, Canada.
10
School of Earth and
Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada.
11
Water and Development Research Group, Aalto University, Espoo, Finland.
12
Global Institute for Water Security, University of Saskatchewan, Saskatoon, Sas-
katchewan, Canada.
13
Waterplan (YC S21), San Francisco, CA, USA.
14
Institute of
Physics and Astronomy, University of Potsdam, Potsdam, Germany.
15
Institute
for Environmental Science and Geography, University of Potsdam, Potsdam,
Germany.
*Corresponding author. Email: kari@sund.ku.dk
†Deceased.
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 1 of 16
space for humanity that can safeguard both Earth’s interglacial state
and its resilience.
The Holocene state of Earth is the benchmark reference in this
context, as many of the components comprising the planetary
boundary framework were rather stable during this period. This is
also the only Earth system state civilizations have historically
known. Climate is a manifestation of external forcing, e.g., solar ac-
tivity, orbital cycles, and interactions among Earth system compo-
nents, and global mean surface temperature varied by only ±0.5°C
(9) from the Neolithic [~9000 before the present (B.P.)] until the
Industrial Revolution. Biomes across Earth have also largely been
stable over the past 10,000 years, with preindustrial global terrestrial
net primary production (NPP) varying by not >55.9 ± 1.1 billion
tonnes (Gt) of C year
−1
(2σ) (see the Supplementary Materials).
Bias-corrected data (10) confirm that preindustrial global precipita-
tion levels were also stable, particularly from the mid-Holocene
onward. These data provide strong support for using the Holocene
(see the Supplementary Materials) as the planetary boundaries ref-
erence state for a stable and resilient planet.
All of the framework’s individual boundaries therefore adopt
preindustrial Holocene conditions as a reference for assessing the
magnitude of anthropogenic deviations. Available data and state
of knowledge from analytics and modeling of the framework com-
ponents dictate the methods for derivation and quantification of the
individual boundaries and their precautionary guardrails. Despite
data constraints, efforts have been made to identify suitable
control variables for all boundaries, together with evidence of
how much perturbation leads to generation of impacts or altered
interactions/feedbacks that can potentially cause irreversible
changes to Earth’s life support systems. The focus is always at
Earth system rather than regional scale, even when the evidence
used to establish boundaries originates from regional studies. In
these cases, regional evidence is combined to assess Earth system
impacts of cumulative transgressions across multiple region-
al systems.
The planetary boundaries framework has attracted considerable
scientific and societal attention, inspiring governance strategies and
policies at all levels. The framework evolves through updates made
in light of recent scientific understanding. Here, we bring together
advances from different fields of science to update the framework
and the status of its boundaries. Boundaries are, for the first time,
proposed for all of the individual components of the framework.
Updates of the functional biosphere integrity and aerosol loading
boundaries are based on analyses presented here. Recent analyses
form the basis for updates of the freshwater change and novel enti-
ties boundaries. Last, the importance of considering human impacts
on components of the global environment in a system context is il-
lustrated using a modeling exercise exploring how various scenarios
of transgression of the land system (representing the biosphere) and
climate change boundaries combine to affect Earth system
characteristics.
Framework components
Understanding how biosphere, anthroposphere, and geosphere pro-
cesses interact with one another is a prerequisite for developing re-
liable projections of possible future Earth system trajectories. A fully
process-based understanding of the interactions between these
domains is, however, still only partially available. The planetary
boundaries framework calls for more deeply integrated modeling
of Earth system by bringing together currently available evidence
for the relevant processes and their interactions from different dis-
ciplines and sources.
The nine boundaries all represent components of Earth system
critically affected by anthropogenic activities and relevant to Earth’s
overall state. For each of the boundaries, control variables are
chosen to capture the most important anthropogenic influence at
the planetary level of the boundary in focus. For example, land
system change arises from myriad human activities, ultimately ag-
gregating to alteration of biomes. From a planetary perspective
however, during the Holocene, forests were the land biome with
the strongest functional coupling to the climate system (11,12).
Therefore, global reduction in forest area is adopted as the control
variable representing all land system change. Similarly, the control
variable introduced here for the functional component of the bio-
sphere integrity boundary, human appropriation of NPP (HANPP),
focuses on the ability of the biosphere as a whole to provide func-
tional feedbacks in Earth system. Control variables should ideally
lend themselves to empirical determination and be computable
for use in Earth system projections (e.g., process-based simulation
of future change in forest cover) where possible.
Boundary positions do not demarcate or predict singular thresh-
old shifts in Earth system state. They are placed at a level where the
available evidence suggests that further perturbation of the individ-
ual process could potentially lead to systemic planetary change by
altering and fundamentally reshaping the dynamics and spatiotem-
poral patterns of geosphere-biosphere interactions and their feed-
backs (13,14).
Zone of increasing risk (of Earth system losing Holocene-like
characteristics) is now used to assess the status for transgressed
boundaries rather than the “zone of uncertainty”(2) as demarcation
of this zone is based on more than what is usually referred to as sci-
entific uncertainty. A large body of recent research [e.g., (15–17)]
provides strong evidence supporting the conclusion (2) that the
climate change and biosphere integrity boundaries are in a zone
of rapidly increasing and systemically linked risks. This strengthens
the rationale for using the precautionary principle to set the plane-
tary boundaries at the lower end of the zone of increasing risk. For
example, for the climate change planetary boundary, we retain the
boundary of 350 parts per million (ppm) CO
2
with the zone of in-
creasing risk ranging from 350 to 450 ppm before reaching high
risk. This corresponds approximately to a range of global mean
surface temperature rise of 1° to 2°C (assuming mainstream scenar-
ios on non-CO
2
forcing). Precaution places the planetary boundary
at the start of increasing risk (350 ppm ≈1°C), i.e., slightly below the
1.5°C target identified in the Paris Agreement. The 1.5°C target is
one that science increasingly demonstrates is associated with sub-
stantial risk of triggering irreversible large change and that crossing
tipping points cannot be excluded even at lower temperature in-
creases (18). In recognition of the buffering resilience of Earth
system, most boundaries are nevertheless set at values higher than
their observed range through the Holocene up to the Industrial Rev-
olution (for CO
2
≈280 ppm) (see the Supplementary Materials).
The stability and characteristic range of variability of interglacial
Earth system states in Pleistocene paleoclimate (19) and Earth
system modeling (20) suggest that Earth system would likely
remain in a stable, Holocene-like state if all boundaries were re-
spected despite their being at least temporarily outside the envelope
of Holocene variability.
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 2 of 16
The distinction between zones of “increasing”and “high”risk
cannot be sharply defined. There is accumulating evidence that
the current level of boundary transgression has already taken
Earth system beyond a “safe”zone. However, we still lack a compre-
hensive, integrated theory, backed by observations and modeling
studies, that can identify when a transition from a rising level of
risk to one with very high and dangerous risks of losing a Holo-
cene-like Earth system state may occur. Therefore, the “burning
embers”approach introduced by the Intergovernmental Panel on
Climate Change (IPCC) to represent the gradual transitions from
moderate (yellow) to high (red) to very high (purple) risks is
adopted here.
Throughout Earth’s history, geosphere-biosphere interactions
were an internal driver of Earth system state. The climate change
planetary boundary is used here as a proxy for the geosphere. There-
fore, climate change and biosphere integrity are identified as “core
boundaries”(2) in the framework. The introduction of novel enti-
ties is a new anthropogenic driver of Earth system change that, if
sufficiently transgressed, could, on its own, alter Earth system
state. However, this planetary boundary acts largely through pertur-
bation of the core boundaries, especially biosphere integrity. In con-
trast to the definition applied earlier (2) where “naturally occurring
elements mobilized by anthropogenic activities”were included, the
definition of novel entities is now restricted to include only entities
that, in the absence of the anthroposphere, are not present in
Earth system.
Quantifying interactions between boundaries remains a major
challenge. However, some progress has been made since the last
framework update (2). Recent studies (13,14,21,22) have shown
that additional or more extensive transgression of one planetary
boundary can change risk gradients for other boundaries. For
example, there is increasing evidence to suggest that transgressing
either the climate change or biosphere integrity planetary boundary
can potentially lead to more steeply increasing risk in the other (21).
In the current absence of a comprehensive Earth system model that
fully captures interactions between all component spheres, we
explore below how various scenarios of transgression of the land
system (representing the biosphere) and climate change boundaries
combine to control biologically mediated carbon storage at the
planetary level.
RESULTS
Biosphere integrity
Myriad interactions with the geosphere make the biosphere a con-
stitutional component of Earth system and a major factor in regu-
lating its state. The planetary functioning of the biosphere
ultimately rests on its genetic diversity, inherited from natural selec-
tion not only during its dynamic history of coevolution with the ge-
osphere but also on its functional role in regulating the state of Earth
system. Genetic diversity and planetary function, each measured
through suitable proxies, are therefore the two dimensions that
form the basis of a planetary boundary for biosphere integrity. As
applied here, “integrity”does not imply an absence of biosphere
change but, rather, change that preserves the overall dynamic and
adaptive character of the biosphere.
Rockström et al. (1) defined the planetary boundary for change
in genetic diversity as the maximum extinction rate compatible with
preserving the genetic basis of the biosphere’s ecological
complexity. We retain the boundary level of <10 E/MSY (extinc-
tions per million species-years). The extinction rate control variable
is challenging to apply in operational contexts, but data and
methods for directly assessing the genetic diversity component of
biosphere integrity are emerging [(23) and the Supplementary Ma-
terials]. Although the baseline rate of extinctions (and of new
species’evolution) is both highly variable and difficult to quantify
with confidence through geological time, the current rate of species
extinctions is estimated to be at least tens to hundreds of times
higher than the average rate over the past 10 million years and is
accelerating (24). We conservatively set the current value for the ex-
tinction rate at >100 E/MSY (24–26). Of an estimated 8 million
plant and animal species, around 1 million are threatened with ex-
tinction (16), and over 10% of genetic diversity of plants and
animals may have been lost over the past 150 years (23). Thus, the
genetic component of the biosphere integrity boundary is markedly
exceeded (Fig. 1 and Table 1).
Previously, Steffen et al. (2) proposed using the Biodiversity In-
tactness Index (BII) (27), an empirically based metric of human
impacts on population abundances, as an interim proxy for func-
tional biosphere integrity. It was noted, however, that the link of
BII to Earth system functions remains poorly understood and BII
cannot be directly linked to the planetary biogeochemical and
energy flows relevant for establishing Earth system state. In addi-
tion, BII relies on expert elicitation to estimate temporal changes
in species abundances/distributions, and this knowledge is not
readily available for many regions, including the oceans. Martin
et al. (28) have also recently suggested that BII only partially reflects
human impacts on Earth system.
We therefore now replace this metric with a computable proxy
for photosynthetic energy and materials flow into the biosphere
(29), i.e., net primary production (NPP), and define the functional
component of the biosphere integrity boundary as a limit to the
human appropriation of the biosphere’s NPP (HANPP) as a frac-
tion of its Holocene NPP. NPP is fundamental for both ecosystems
and human societies as it supports their maintenance, reproduc-
tion, differentiation, networking, and growth. Biomes depend on
the energy flow associated with NPP to maintain their planetary
ecological functions as integral parts of Earth system. NPP-based
energy flows into human societies should therefore not substantially
compromise the energy flow to the biosphere (30). The proxy com-
plements the diversity-based dimensions of biosphere integrity,
covered by the genetic component, which captures the importance
of variability in living organisms for the functioning of ecosystems.
The suitability of NPP and HANPP for defining a planetary boun-
dary has previously been discussed by Running (31) and Haberl
et al. (32).
We determine the terrestrial biosphere’s Holocene NPP to have
been 55.9 Gt of C year
−1
(2σ) and exceedingly stable, varying by not
more than ±1.1 Gt of C year
−1
despite regional variations in time
(see the Supplementary Materials). Our model analyses suggest
that NPP still had a Holocene-like level in 1700 (56.2 Gt of C
year
−1
for potential natural vegetation and 54.7 Gt of C year
−1
when land use is taken into account). By 2020, potential natural
NPP would have risen to 71.4 Gt of C year
−1
because of carbon fer-
tilization, a disequilibrium response of terrestrial plant physiology
to anthropogenically increasing CO
2
concentration in the atmo-
sphere, whereas actual NPP was 65.8 Gt of C year
−1
due to the
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 3 of 16
NPP-reducing effects of global land-use (see the Supplementary
Materials).
HANPP designates both the harvesting and the elimination or
alteration (mostly reduction) of potential natural NPP (32),
mainly through agriculture, silviculture, and grazing. Terrestrial
HANPP can be estimated both as a fraction of potential natural
NPP [15.7% in 1950 and 23.5% in 2020; inferred from (33) and
the Supplementary Materials] and of Holocene mean NPP (30%
or 16.8 Gt of C year
−1
in 2020; see the Supplementary Materials).
We argue that an NPP-based planetary boundary limiting HANPP
should be set in relation to preindustrial Holocene mean NPP and
not the current potential natural NPP. This is because the global in-
crease in NPP due to anthropogenic carbon fertilization constitutes
a resilience response of Earth system that dampens the magnitude of
anthropogenic warming. Hence, the NPP contribution to a carbon
sink associated with CO
2
fertilization should be protected and sus-
tained rather than considered as being available for harvesting. Ex-
amples of large land areas under human use with declining carbon
sinks, some even turning into carbon sources, i.e., due to human
overexploitation of biomass, are already being observed, for
example, in some Amazonian regions (34) and northern European
forests.
As NPP is the basis for the energy and materials flow that under-
pins the biosphere’s functioning (30), we argue that today’s plane-
tary-scale impact of HANPP is reflected in the observation that
major indicators of the state of the biosphere show large and wor-
risome declines in recent decades (16). This suggests that current
HANPP is well beyond a precautionary planetary boundary
aiming to safeguard the functional integrity of the biosphere and
likely already into the high-risk zone. We therefore provisionally
set the functional component of the biosphere integrity planetary
boundary at human appropriation of 10% of preindustrial Holocene
mean NPP, shifting into the zone of high risk at 20%. The boundary
thus defined was transgressed in the late 19th century, a time of con-
siderable acceleration in land use globally (35) with strong impacts
on species (27), already leading to early concerns about the effects of
this large-scale land transformation.
Thus, while the climate warming problem became evident in the
1980s, problems arising in functional biosphere integrity due to
human land use began a century earlier. Since the 1960s, growth
Fig. 1. Current status of control variables for all nine planetary boundaries. Six of the nine boundaries are transgressed. In addition, ocean acidification is approach-
ing its planetary boundary. The green zone is the safe operating space (below the boundary). Yellow to red represents the zone of increasing risk. Purple indicates the
high-risk zone where interglacial Earth system conditions are transgressed with high confidence. Values for control variables are normalized so that the origin represents
mean Holocene conditions and the planetary boundary (lower end of zone of increasing risk, dotted circle) lies at the same radius for all boundaries (except for the
wedges representing green and blue water, see main text). Wedge lengths are scaled logarithmically. The upper edges of the wedges for the novel entities and the
genetic diversity component of the biosphere integrity boundaries are blurred either because the upper end of the zone of increasing risk has not yet been quantitatively
defined (novel entities) or because the current value is known only with great uncertainty (loss of genetic diversity). Both, however, are well outside of the safe operating
space. Transgression of these boundaries reflects unprecedented human disruption of Earth system but is associated with large scientific uncertainties.
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 4 of 16
Table 1. Current status for the planetary boundaries.
Earth
system process
Control variable(s) Planetary boundary Preindustrial
Holocene
base value
Upper end of
zone of
increasing risk
Current value of control
variable
Climate change Atmospheric CO
2
concentration (ppm CO
2
)
350 ppm CO
2
280 ppm CO
2
450 ppm CO
2
417 ppm CO
2
(41)
Total anthropogenic
radiative forcing at top-of-
atmosphere (W m
−2
)
+1.0 W m
−2
0 W m
−2
+1.5 W m
−2
+2.91 W m
−2
(41)
Change in
biosphere
integrity
Genetic diversity: E/MSY <10 E/MSY but with an
aspirational goal of ca. 1 E/
MSY (assumed background
rate of extinction loss)
1 E/MSY 100 E/MSY >100 E/MSY (24–26)
Functional integrity:
measured as energy
available to ecosystems
(NPP) (% HANPP)
HANPP (in billion tonnes of C
year
−1
) <10% of preindustrial
Holocene NPP, i.e., >90%
remaining for supporting
biosphere function
1.9% (2σ
variability of
preindustrial
Holocene century-
mean NPP)
20% HANPP 30% HANPP (see the
Supplementary Materials)
Stratospheric
ozone depletion
Stratospheric O
3
concentration, (global
average) (DU)
<5% reduction from
preindustrial level assessed
by latitude (~276 DU)
290 DU 261 DU 284.6 DU (96)
Ocean
acidification
Carbonate ion
concentration, average
global surface ocean
saturation state with respect
to aragonite (Ω
arag
)
≥80% Ω
arag
of mean
preindustrial aragonite
saturation state of surface
ocean, including natural diel
and seasonal variability
3.44 Ω
arag
2.75 Ω
arag
2.8 Ω
arag
(71)
Biogeochemical
flows: P and
N cycles
Phosphate global: P flow
from freshwater systems into
the ocean; regional: P flow
from fertilizers to erodible
soils (Tg of P year
−1
)
Phosphate global: 11 Tg of P
year
−1
;regional: 6.2 Tg of P
year
−1
mined and applied to
erodible (agricultural) soils.
Boundary is a global average,
but regional distribution is
critical for impacts.
0 Tg of P year
−1
Global: 100 Tg of
P year
−1
;
regional: 11.2 Tg
of P year
−1
Global: 22.6 Tg of P year
−1
(75); regional: 17.5 Tg of P
year
−1
(76)
Nitrogen global: industrial
and intentional fixation of N
(Tg of N year
−1
)
Nitrogen global: 62 Tg of N
year
−1
. Boundary is a global
average. Anthropogenic
biological N fixation on
agriculture areas highly
uncertain but estimates in
range of ~30 to 70 Tg of N
year
−1
. Boundary acts as a
global “valve”limiting
introduction of new reactive
N to Earth system, but
regional distribution of
fertilizer N is critical
for impacts.
0 Tg of N year
−1
82 Tg of
N year
−1
190 Tg of N year
−1
(84)
Land
system change
Global: area of forested land
as the percentage of original
forest cover; biome: area of
forested land as the
percentage of potential
forest (% area remaining)
Global: 75% values are a
weighted average of the
three individual biome
boundaries; biomes: tropical,
85%; temperate, 50%;
boreal: 85%
100% Global: 54%;
biomes: tropical,
60%; temperate,
30%;
boreal: 60%
Global: 60% [(72,97) and see
the Supplementary
Materials]; tropical:
Americas, 83.9%; Africa,
54.3%; Asia, 37.5%;
temperate: Americas, 51.2%;
Europe, 34.2%; Asia, 37.9%;
boreal: Americas, 56.6%;
Eurasia: 70.3%
Freshwater
change
Blue water: human induced
disturbance of blue
water flow
Upper limit (95th percentile)
of global land area with
deviations greater than
during preindustrial, Blue
water: 10.2%
9.4% (median of
preindustrial
conditions)
50%
(provisional)
18.2% (46)
Green water: human
induced disturbance of
Green water: 11.1% 50%
(provisional)
15.8% (46)
continued on next page
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 5 of 16
in global population and consumption further accelerated land use,
driving the system further into the zone of increasing risk. HANPP
has always sustained humanity’s need for food, fiber, and fodder,
and this will continue to be the case in the future, as well as for sus-
tainable societies. The NPP required to support future societies
must, however, increasingly be generated through additional pro-
duction of NPP above the Holocene baseline, not including the
NPP generated for biology-based carbon sinks. Feeding 10 billion
people, for example, is theoretically possible within planetary
boundaries but requires a number of far-reaching transformations
to improve the impacts of production and regulate demand (36).
To develop a deeper foundation for the HANPP-based planetary
boundary for functional biosphere integrity, we need an improved
understanding of how ecological dynamics generate the functions of
the biosphere in Earth system. Analysis of NPP should be spatially
explicit and augmented by computable metrics of ecological desta-
bilization due to climate and land use pressures, e.g., a metric of bi-
ogeochemical disruption (37).
HANPP can also be quantified for marine systems. About two-
thirds of the ocean area where HANPP is >10% is found above the
shallow shelf areas (38) where ecosystems are most intensely ex-
ploited. Regionally, fish catches exceed thresholds of sustainable ex-
ploitation (39). However, in contrast to land, where most HANPP
occurs in the form of plant material, i.e., at the lowest trophic level,
HANPP in the ocean tends to take place at higher trophic levels.
This means that while HANPP reduces the absolute amount of
energy available to higher trophic levels on land, much of the
energy fixed through NPP is used in marine ecosystems before
HANPP occurs. When the abundance of organisms at the highest
trophic levels is reduced, changes in marine ecosystem structure
may change energy flow in these ecosystems (40). Thus, in the
marine realm, HANPP likely changes the flows rather than the
amount of energy available. More information about the impacts
of HANPP in the marine realm is necessary to integrate consider-
ation of the marine systems in the functional biosphere integrity
planetary boundary.
Climate change
Climate change control variables and boundary levels are retained
(1,2). The most important drivers of anthropogenic impacts on
Earth’s energy budget are the emission of greenhouse gases and
aerosols, and surface albedo changes (17). The control variables
in the framework are the annual averages of atmospheric CO
2
concentration and the change in radiative forcing. The planetary
boundary for atmospheric CO
2
concentration is set at 350 ppm
and for radiative forcing at 1 W m
−2
. Currently, the estimated
total anthropogenic effective radiative forcing is 2.91 W m
−2
[2022 estimate, relative to 1750 (17)], and atmospheric CO
2
concen-
tration is 417 ppm [annual mean marine surface value for 2022
(41)], i.e., further outside the safe operating space on both measures
than in the last update (2). The 350-ppm boundary would lead to a
lower level of anthropogenic global warming than the internation-
ally agreed 1.5°C target in the United Nations Paris Climate Agree-
ment but is consistent with recent studies (17,18,42) suggesting the
possibility of extreme Earth system impacts even at 1.5
o
warming,
with risks increasing already markedly above 1° warming.
Novel entities
The definition of this boundary is now restricted to truly novel an-
thropogenic introductions to Earth system. These include synthetic
chemicals and substances (e.g., microplastics, endocrine disruptors,
and organic pollutants); anthropogenically mobilized radioactive
materials, including nuclear waste and nuclear weapons; and
human modification of evolution, genetically modified organisms
and other direct human interventions in evolutionary processes.
Novel entities serve as geological markers of the Anthropocene
(5). However, their impacts on Earth system as a whole remain
largely unstudied. The planetary boundaries framework is only con-
cerned with the stability and resilience of Earth system, i.e., not
human or ecosystem health. Thus, it remains a scientific challenge
to assess how much loading of novel entities Earth system tolerates
before irreversibly shifting into a potentially less habitable state.
Hundreds of thousands of synthetic chemicals are now produced
and released to the environment. For many substances, the poten-
tially large and persistent effects on Earth system processes of their
introduction, particularly on functional biosphere integrity, are not
well known, and their use is not well regulated. Humanity has re-
peatedly been surprised by unintended consequences of this release,
e.g., with respect to the release of insecticides such as DDT and the
effect of chlorofluorocarbons (CFCs) on the ozone layer. For this
class of novel entities, then, the only truly safe operating space
that can ensure maintained Holocene-like conditions is one
where these entities are absent unless their potential impacts with
respect to Earth system have been thoroughlyevaluated. This would
imply that the quantified planetary boundary should be set at zero
release of synthetic chemical compounds to the open environment
Earth
system process
Control variable(s) Planetary boundary Preindustrial
Holocene
base value
Upper end of
zone of
increasing risk
Current value of control
variable
water available to plants (%
land area with deviations
from preindustrial
variability)
9.8% (median of
preindustrial
conditions)
Atmospheric
aerosol loading
Interhemispheric difference
in AOD
0.1 (mean annual
interhemispheric difference)
0.03 0.25 0.076 (55,57,68)
Novel entities Percentage of synthetic
chemicals released to the
environment without
adequate safety testing
0 0 NA Transgressed
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 6 of 16
unless they have been certified as harmless and are monitored. That
is the target set by the Montreal Protocol with respect to the sub-
stances shown to be harmful by contributing to depletion of the
ozone layer.
In their analysis of various strategies for establishing a planetary
boundary for novel entities, Persson et al. (43) identified the share
of released chemicals with adequate safety assessment and monitor-
ing as a candidate control variable. We here adopt this metric. The
planetary boundary is then set at the release into Earth system of 0%
of untested synthetics. When synthetics released to the environment
are thoroughly tested, the ensuing risk of damaging effects is
lowered. Admittedly, this approach has weaknesses: Data availabil-
ity is incomplete; safety studies often focus on narrowly defined tox-
icity and do not capture the “cocktail effects”of chemical mixtures
in the environment nor their effects under specific conditions. The
percentage of untested synthetics released globally is unknown.
However, Persson et al. (43) report that for the chemicals currently
registered under the EU Registration, Evaluation, Authorisation and
Restriction of Chemicals (REACH) regulation (a small subset of the
chemical universe), ~80% of these chemicals had been in use for at
least 10 years without yet having undergone a safety assessment.
Likewise, few safety studies consider potential Earth system
effects. With such an enormous percentage of untested chemicals
being released to the environment, a novel entities boundary
defined in this manner is clearly breached. Persson et al. (43) did
not identify or quantify a singular planetary boundary for novel en-
tities but, nevertheless, also concluded that the safe operating space
is currently overstepped.
Stratospheric ozone depletion
Stratospheric ozone depletion is a special case related to the anthro-
pogenic release of novel entities where gaseous halocarbon com-
pounds from industry and other human activities released into
the atmosphere lead to long-lasting depletion of Earth’s ozone
layer. The boundary for the safe operating space is set at 276
Dobson units (DU), i.e., allowing a <5% reduction from the prein-
dustrial level of 290 DU, assessed by latitude (1). Following the rat-
ification of the Montreal Protocol in 1987, the trend and global
extent of ozone depletion have recovered slightly (44,45). The
current (2020) global estimate is 284 DU (see the Supplementary
Materials). Thus, the human perturbation of the stratospheric
ozone depletion has decreased and is now within the safe operating
space. The boundary for ozone depletion is currently only trans-
gressed over the Antarctic and southern high latitudes and only
in the 3-month Austral spring (45).
Freshwater change
To comprehensively reflect anthropogenic modifications of Earth
system functions of freshwater, this boundary is revised to consider
changes across the entire water cycle over land (46–48). We here use
streamflow as a proxy to represent blue water (surface and ground-
water) and root-zone soil moisture to represent green water (plant-
available water) (46–48). Control variables are defined as the per-
centage of annual global ice-free land area with streamflow/root-
zone soil moisture deviations from preindustrial variability (46,
48). The new green water component directly accounts for hydro-
logical regulation of terrestrial ecosystems, climate, and biogeo-
chemical processes (48), whereas the blue water component
accounts for river regulation and aquatic ecosystem integrity (46).
Moreover, this boundary now captures Earth system impacts of
both water increases and decreases on a monthly scale and includes
their spatial patterns (see the Supplementary Materials).
The control variables describe deviations from the preindustrial
(here, 1661–1860) state, first determined at the 30 arc-min grid cell
scale and further aggregated to a global annual value. For both blue
and green water control variables, boundaries are set at the 95th per-
centile of preindustrial variability, i.e., variability of the percentage
of global land area with deviations [~10% for blue and ~11% for
green water; (46) and the Supplementary Materials]. We assume
that preindustrial conditions are representative of longer-term Ho-
locene conditions and that notable deviation from this state puts
freshwater’s Earth system functions at risk. Pending comprehensive
assessment of impacts of different transgression levels of the blue
and green water boundaries (e.g., reduced carbon sequestration ca-
pacity, climate regulation, and biodiversity loss; see the Supplemen-
tary Materials), the boundary settings are preliminary and highly
precautionary. Currently, ~18% (blue water) and ~16% (green
water) of the global land area experience wet or dry freshwater de-
viations (46). Thus, in contrast to the earlier planetary boundary as-
sessments (1,2) where only blue water removal was considered, this
new approach indicates substantial transgression of the freshwater
change boundary. Transgressions of both the blue and green water
boundaries occurred a century ago, in 1905 and 1929, respectively
(46). Thus, with the revised definition of the control variables, fresh
water would have been considered transgressed already at the time
of the previous planetary boundary assessments. The previous
global-scale control variable would still indicate freshwater use to
remain in the safe zone, even with newer data sources than those
used in (1,2). Recent estimates of global blue water consumption
totals ~1700 km
3
year
−1
(49), i.e., far below the previous boundary
set at 4000 km
3
year
−1
.
Atmospheric aerosol loading
Aerosols have multiple physical, biogeochemical, and biological
effects in Earth system, motivating their inclusion as a planetary
boundary (see the Supplementary Materials). Anthropogenic
aerosol loading has increased (50). Changes since the preindustrial
for natural aerosols (e.g., desert dust, soot from wildfires) are diffi-
cult to assess because of model differences in the sign of trends (51),
but observational evidence suggests a global doubling of dust dep-
osition since 1750 (52). At present, the Sahara is the world’s largest
dust source region [e.g., (53)], but earlier in the Holocene, it was a
vegetated landscape with many lakes and wetlands (14,500 to 5000
B.P.). Changes in monsoon rainfalls, involving vegetation-dust-
climate feedbacks, are thought to have terminated the “green
Sahara,”leading to major displacements of human settlements
across parts of Africa and Asia (54).
Quantification of the aerosol loading planetary boundary is
hampered by their multiple natural and human-caused sources, dif-
ferences in chemical composition, seasonality and atmospheric life-
times, and the consequently very large spatial and temporal
heterogeneity in distribution and climatic and ecological impacts
of aerosols. Nevertheless, aerosol optical depth (AOD) provides a
generic control variable for aerosol loading. AOD is an integrated
measure of the overall reduction in sunlight reaching Earth’s
surface caused by all absorption and scattering in the vertical air
column. On the basis of the evidence of the impacts of large AOD
on regional precipitation over southern Asia, Steffen et al. (2) set a
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 7 of 16
provisional regional planetary boundary of AOD = 0.25 (0.25 to 0.5)
on the basis that higher AOD values in monsoon regions likely lead
to significantly lower rainfall, ultimately affecting biosphere integ-
rity. The annual mean AOD in southern Asia is currently about 0.3
to 0.35 (55,56). The current value for the East China region is 0.4
(55). Thus, aerosol loading in these regions has likely exceeded the
regionally defined boundary, but with high uncertainty. Data and
assessments of aerosol impacts on climate and ecosystems are
lacking to determine whether this regionally defined boundary is
applicable elsewhere. Global mean AOD at present is 0.14 (57),
with much higher levels in some regions and with very strong gra-
dients from land to open ocean (56).
In addition to the direct effects of AOD on regional climate and
precipitation, asymmetries in AOD between northern and southern
hemispheres can affect multiple monsoon systems, as seen for the
West African monsoon (58) and Indian monsoon (59,60). The in-
terhemispheric difference in AOD affects regional monsoon rainfall
by shifting the location of the Intertropical Convergence Zone (61).
Large asymmetries in the temperature of northern and southern
hemispheres arise from differences in natural and anthropogenic
aerosol emissions, land cover, and other climate forcers (58,59,
62,63). The asymmetric radiative forcing resulting from aerosol
effects leads to a relative cooling of the northern hemisphere and
a southward shift in tropical precipitation (64). The interhemi-
spheric AOD difference and its impact on tropical precipitation
and water availability are sensitive to the particle size and latitudinal
and altitudinal distribution of aerosols (65). Studies of aerosol-
climate interactions following volcanic eruptions (66) indicate
that monsoon precipitation in the northern hemisphere is weak-
ened when northern hemisphere AOD is higher and the interhemi-
spheric AOD difference is greater and is enhanced when more
aerosols are emitted in the southern hemisphere (smaller inter-
hemispheric AOD difference). This understanding is broadly con-
sistent with the decrease in tropical mean precipitation after major
volcanic eruptions in observations and global climate models (67).
The IPCC AR6 has assessed that observed decreases in global land
monsoon precipitation from the 1950s to the 1980s are partly attrib-
uted to human-caused northern hemisphere aerosol emissions, thus
relatively larger interhemispheric difference (17). In addition to vol-
canic aerosols, monsoon dynamics and the associated regional rain-
falls also respond to changes in anthropogenic aerosols (see the
Supplementary Materials).
We therefore propose the annual mean interhemispheric differ-
ence in AOD as a globally defined control variable for aerosol
loading. The present-day interhemispheric difference is ~0.076 ±
0.006 (mean ± SD), based on 12 observational estimates, reaching
~0.1 in the boreal spring and summers, due to the seasonal increase
in dust storms that dominate in the northern hemisphere (55). The
preindustrial annual mean value is estimated as ~0.03, based on
multimodel analyses (68), indicating an increase in interhemispher-
ic AOD difference by ~0.04 in the industrial era. Present-day inter-
hemispheric AOD difference is consistent with Coupled Model
Intercomparison Project 6 (CMIP6) emission inventories that
show more anthropogenic aerosols in the northern hemisphere,
with future projections suggesting a decrease in the asymmetry (69).
We assign a planetary boundary value of 0.1 for the mean annual
interhemispheric difference in AOD, with high uncertainty about
the zone of increasing risks, 0.1 to 0.25. In setting this boundary,
we note that the impacts of aerosol loading on tropical monsoon
systems are already seen today, and the impact is not only restricted
to rainfall but also affects regional climate more broadly. Aerosol-
cloud interaction might exacerbate effects of AOD asymmetry. The
contribution of aerosol-cloud interactions to the hemispheric asym-
metry of reflected shortwave radiation is unclear. Take for instance
the current range of anthropogenic aerosol effective radiative
forcing for present day that has been reported to be −1.6 to −0.6
W m
−2
in the global mean for the 16 to 84% confidence interval,
with aerosol-cloud interactions as a major source for uncertainty
(51). Other large-scale effects of aerosols, such as air quality
impacts on land and marine ecosystems, are also already evident
(17,70). Biogenic aerosols have not been considered, despite their
role in feedbacks in Earth system. A much better systemic and quan-
titative understanding of the hydroclimatic, ecological, and biogeo-
chemical effects of asymmetric aerosol forcing is needed to refine
the aerosol loading boundary.
Ocean acidication
The control variable used is the carbonate ion concentration in
surface seawater (specifically, Ω
arag
, the average global surface
ocean saturation state with respect to aragonite). The original boun-
dary quantification [≥80% of the preindustrial averaged global Ω
arag
of 3.44 (1)] is retained. A recent estimate sets the current Ω
arag
at
~2.8 (71) (see the Supplementary Materials), approximately 81%
of the preindustrial value. Thus, anthropogenic ocean acidification
currently lies at the margin of the safe operating space, and the trend
is worsening as anthropogenic CO
2
emission continues to rise.
Land system change
This boundary focuses on the three major forest biomes that
globally play the largest role in driving biogeophysical processes
(2), i.e. tropical, temperate, and boreal. The control variable
remains the same: forest cover remaining compared to the potential
area of forest in the Holocene (2). The boundary positions remain at
85%/50%/85% for boreal/temperate/tropical forests (cf. Table 1 and
the Supplementary Materials). On the basis of 2019 land-cover
classification maps derived from satellite observations (72), the
current state of the regional biomes is similar to that in 2015
although, for most regions, the amount of deforestation has in-
creased since 2015 (see the Supplementary Materials). Land-use
conversion and fires are causing rapid change in forest area (73,
74), and deforestation of the Amazon tropical forest has increased
such that it has now transgressed the planetary boundary (Table 1).
Changes in the methodology and technology used to estimate forest
cover since 2015 may be influencing the biome-level differences re-
ported here compared to the last update (2). Nevertheless, there is
little doubt that the global forest area continues to decrease (74).
Biogeochemical ows
Biogeochemical flows reflect anthropogenic perturbation of global
element cycles. Currently, the framework considers nitrogen (N)
and phosphorus (P) as these two elements constitute fundamental
building blocks of life, and their global cycles have been markedly
altered through agriculture and industry. Anthropogenic impacts
on global carbon cycling are equally fundamental but are addressed
in the climate and biosphere integrity boundaries. Other elements
could come into focus under this boundary as an understanding of
human perturbation of element cycles advances. For both N and P,
the anthropogenic release of reactive forms to land and oceans is of
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 8 of 16
interest, as altered nutrient flows and element ratios have profound
effects on ecosystem composition and long-term Earth system
effects. Some of today’s changes will only be seen on evolutionary
time scales, while others are already affecting climate and biosphere
integrity.
For P, we retain the regional-level and global boundaries pro-
posed by Steffen et al. (2). The global boundary for P is a sustained
flow of 11 Tg of P year
−1
from fresh water to the ocean, to avoid
large-scale anoxia. We have not found newer studies quantifying
P flows in fresh water to the sea since that used for the 2015 frame-
work update, i.e., an estimated 22 Tg of P year
−1
(75). The regional
level boundary is set at a flowof 6.2 Tg of P year
−1
from fertilizers to
erodible soils, to avert widespread eutrophication of freshwater eco-
systems. The current rate of application of P in fertilizers to crop-
lands is 17.5 Tg of P year
−1
(76) although P use is rising and much
higher estimates of up to 32.5 Tg of P year
−1
have been reported in
other studies (77–79). Thus, both the global and regional boundar-
ies for P are exceeded. The planetary boundary for N is the applica-
tion rate of intentionally fixed N to the agricultural system of 62 Tg
of N year
−1
[unchanged from (2)]. Currently, the application of in-
dustrially fixed N fertilizer is 112 Tg of N year
−1
(80). Quantifica-
tion of anthropogenic biological N fixation in connection with
agriculture is highly uncertain, but the most recent estimates are
in the range of ~30 to 70 Tg of N year
−1
(81–83). According to
Food and Agriculture Organization (84), the total introduction of
anthropogenically fixed N applied to the agricultural system is
~190 Tg year
−1
so this boundary is also globally transgressed.
DISCUSSION
Six planetary boundaries are found currently to be transgressed
(Fig. 1 and Table 1). For all of the boundaries previously identified
as transgressed [climate change, biosphere integrity (genetic
diversity), land system change, and biogeochemical flows (N and
P)], the degree of transgression has increased since 2015. We have
introduced HANPP as a control variable for the functional compo-
nent of biosphere integrity and argue that this boundary is also
transgressed. Drawing on the considerable recent scientific progress
made in refining the safe operating space for water, control variables
for both green and blue water components are now included in the
freshwater change planetary boundary. The boundary is trans-
gressed for both components. Global boundaries for aerosol
loading and novel entities are proposed. The novel entities boun-
dary is transgressed. The global aerosol loading boundary is not
transgressed although regional transgressions are noted.
Earth system eects of diering scenarios of transgression
of land system change and climate boundaries
To illustrate the importance of considering the multiple anthropo-
genic impacts on the global environment in a systemic context
rather than individually, we examine how varying degrees of trans-
gression of the climate and land system change boundaries combine
to influence two codeterminants of Earth system state: temperature
and terrestrial carbon storage.
For climate change, the Potsdam Earth Model (POEM) [(85) and
the Supplementary Materials] is forced by increased atmospheric
carbon dioxide levels (350, 450, and 550 ppm), and land system
change is forced with land-use patterns representing different
extents of tropical, temperate, and boreal forest cover (see the Sup-
plementary Materials). As some biological processes take centuries
to approach a steady state, we investigate changes in both the short
(1988–2100) and the long term (2100–2770). This also enables us to
examine the veracity of the placement of these planetary boundaries
and their zones of increasing risk in terms of critical Earth system
responses.
Fig. 2. Impact of the combined eect of land system change and climate change boundary states on trajectories of terrestrial carbon stocks and global land
temperature. Results arebased on idealized Earth system model experiments with varying planetary boundary status, ranging from maintaining the planetary boundary
(85%/50%/85% boreal/temperate/tropical forest remaining, 350-ppm atmospheric CO
2
, green), the upper end of the zone of increasing risk (60%/30%/60%, 450 ppm,
orange), and beyond the zone of increasing risk (40%/20%/40%, 550 ppm, red). Open circles represent the short-term changes (1988–2100) of the system, while colored
circles the long-term changes (2100–2770). Their colors denote the state of the land system change boundary, while the climate change boundary is shown on the yaxis.
The locations of the circles on the xaxis represent the changes in the land carbon stocks, and the associated land temperature changes are given next to each circle, both
compared to the year 1988. Transgressing the climate change boundary ( yaxis) is mostly connected to an increase in temperature, while the transgression of land system
change leads to a loss of terrestrial carbon stocks (source) of 100 to 200 Gt of C.
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 9 of 16
According to these simulations, anthropogenic activities
brought both climate and land system change outside of their safe
operating space around 1988. Had Earth system remained forced by
1988 conditions (350 ppm and 85%/50%/85% of tropical/temper-
ate/boreal forest cover remaining), the simulations show that tem-
perature over the global land surface would not have increased by
more than an additional 0.6°C in the subsequent 800 years (and not
>1.3°C compared to the preindustrial period). Only a small (cumu-
lative 25 Gt of C) terrestrial carbon source would have developed by
2100 and a cumulative source of not >68 Gt of C after 800 years.
Thus, the exercise suggests that essentially stable planetary condi-
tions would have been maintained had human impacts on these
two boundaries remained at their 1988 levels, i.e., marginally
within the safe operating space.
Both of these planetary boundaries have, however, since been
transgressed into a zone of increasing risk of systemic disruption.
If climate and land system change can be halted at 450 ppm and
forest cover retained at 60%/30%/60% of boreal/temperate/tropical
natural cover, then the simulation indicates a mean temperature rise
over land of 1.4°C by 2100 (in addition to 0.7°C between preindus-
trial time and 1988) and 1.9°C after 800 years as vegetation evolves
in a warmer climate and associated carbon fertilization (Fig. 2).
Carbon fertilization of vegetation growth counters the negative
impacts of climate warming on the global average carbon sinks,
leading to only moderate cumulative loss in terrestrial carbon due
to additional deforestation. If, however, deforestation had been
maintained at the level of the planetary boundary rather than
having been allowed to rise in the zone of increasing risk, then
the land biosphere would have developed a cumulative carbon
sink rather than a source, contributing to stabilizing Earth’s condi-
tions. In contrast, if deforestation is allowed to breach into the high-
risk zone, then simulations show a substantial additional carbon
leakage to the atmosphere both over the short and long term (132
and 211 Pg of C), despite strong CO
2
fertilization of vegetation
growth in the model (Fig. 2).
The situation is even more extreme if atmospheric CO
2
concen-
tration rises above the risk zone (550 ppm; Fig. 2) and deforestation
continues. Not only is the temperature on land about 2.7°C warmer
than in 1988 (3.4°C warmer than preindustrial), but also around 145
Gt of C would be lost long-term from terrestrial vegetation and soils.
Note that these findings reflect optimistic modeling assumptions on
carbon fertilization. Many of the ecological factors not sufficiently
represented in current biogeochemical models could lead to even
less desirable consequences of leaving the safe operating space.
These simulations illustrate clearly that human impacts on
climate and forest cover must be considered in a systemic context.
They furthermore support the placement of the planetary boundar-
ies for climate and land system change at the lower end of the zone
of increasing risk.
Inuence of climate change on biologically mediated C
sinks in the ocean
Approximately 450 Gt of C is bound up in terrestrial biota, primar-
ily in plants (86), while only ~6 Gt of C is found in ocean biota (87).
Biologically mediated marine carbon sinks are composed of partic-
ulate organic carbon (POC) that can potentially sink below the per-
manent thermocline (biological pump) and dissolved organic
C. Via microbial breakdown of POC and dissolved organic C,
CO
2
is released. When this release influences partial pressure of
CO
2
in surface waters, it tends to reduce oceanic carbon uptake
from the atmosphere. Microbial respiration is highly sensitive to
temperature and, in a warmer ocean, an increased release of CO
2
in surface waters is predicted (88). The biologically mediated
carbon sink in the ocean most exposed to climate change is the
amount of carbon fixed by photosynthesis (NPP), i.e., POC, in
the surface ocean that is ultimately transported into the ocean inte-
rior via the biological pump. When this occurs, the resulting carbon
drawdown reduces partial pressure of CO
2
in the surface layer and
tends to increase the atmosphere-to-ocean CO
2
flux.
These biological processes are implicitly and, in some cases, ex-
plicitly included in the CMIP6 models informing the IPCC.
However, as these models configure biologically mediated carbon
flows differently, there is considerable variability in their results.
Models used by the IPCC do not even agree on the direction of
change in NPP in response to climate change (89). Our model
runs (see the Supplementary Materials) suggest no significant
change in globally averaged ocean NPP under the different
climate forcing conditions and only a modest decrease in exported
material out of the surface layer [new production (ΔNP); Table 2].
Using empirical relationships (90,91) describing the transfer of
carbon to the ocean interior and derived from the contemporary
ocean to estimate biological pump sensitivity to future temperature
increases indicates a similar weakening of the pump in the upper
ocean (Table 2 and the Supplementary Materials). That these two
independent methods indicate similar decreases in the export of
POC from the surface layer lends confidence both in the direction
and magnitude of climate impacts on this biologically mediated
global carbon sink.
The analysis shows that DIC (dissolved inorganic carbon; in-
cluding CO
2
) accumulates over time in the ocean as a whole, par-
ticularly in the upper ocean (<1000 m; Table 2). Changes in the
biologically driven accumulation rates are relatively small compared
Table 2. Global averaged change in three scenarios from the initial state (1988–2018): change in sea surface temperature (ΔSST), new production (ΔNP),
and biogenic particulate flux below 500 m depth (ΔF
500m
) including model and empirically derived values, surface saturation state of aragonite (ΔΩ),
and the DIC inventory between the surface and 1000 m depth (ΔDIC
0–1000m
).
Scenario ΔSST ΔNP ΔF
500m
ΔΩ ΔDIC
0–1000m
(ppm) (°C) Model (%) Empirical (%) Model (%) Empirical (%) (−) (Gt of C)
350 0.3 2.0 2.5 1.9 1.8 0.0 38
450 1.0 0.0 1.4 0.0 −3.5 −0.4 172
550 1.7 −2.5 −1.0 −3.1 −9.4 −0.7 273
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 10 of 16
to the change in the total DIC inventory that is mainly driven by the
solubility pump, i.e., the tendency of increased oceanic uptake when
atmospheric partial pressure of CO
2
rises. The organic matter flux
below the 500-m-depth horizon (ΔF
500m
) varies between 3 and 9%
between the model and empirically derived fluxes in the 550 ppm
scenario with the model-derived sensitivity being lowest. This illus-
trates the current uncertainty in quantifying climate-driven feed-
backs on the biological pump. The implied accumulation of DIC
in the surface ocean will tend to decrease the uptake of atmospheric
CO
2
, thus counteracting global actions for stabilizing or even reduc-
ing atmospheric CO
2
concentrations. The ocean response to
reduced greenhouse gases will be complex and occur on different
time scales, e.g., the characteristic response time simulated for the
total carbon pool in the upper 1000 m is ~150 years (550 ppm; see
the Supplementary Materials). However, the natural ocean carbon
sink will gradually decrease on millennial time scales.
The reduction of sinking organic material will affect the meso-
pelagic ecosystem (i.e., the subsurface ecosystem between 200 and
1000 m in depth, one of the largest biomes on Earth and one that
hosts numerous transient grazers, including some whales). The flux
of organic material via sinking represents the energy source for or-
ganisms in this biome. A reduction of up to ~10% of energy flux
would potentially have enormous consequences for this biome
and, thereby, its biosphere integrity. Recent paleontological recon-
structions (92) provide evidence that these decreases in carbon flux
to the mesopelagic may have occurred in relation to past
climate changes.
Acidification due to increased CO
2
reduces the saturation state of
aragonite (Ω). It tends to hinder the biological formation of calcium
carbonate, an essential component for shell and reef-forming or-
ganisms. The relatively short equilibration time of the surface
ocean with atmospheric CO
2
implies a response time of Ω to in-
creased CO
2
of only a few decades, comparable to the current acid-
ification rate (see the Supplementary Materials). The current rate is
probably a hundred times faster than at any time during the last
hundreds of millennia (93), confirming the tied relations to trans-
gression of the climate change boundary, leadingto the rising risk of
weakening ocean biosphere integrity, and worsening the aragonite
saturation state of the ocean acidification boundary.
A systemic framework for addressing global anthropogenic
impacts on Earth system
The scientific updates and analyses presented here confirm that hu-
manity is today placing unprecedented pressure on Earth system.
Perhaps most worrying in terms of maintaining Earth system in a
Holocene-like interglacial state is that all the biosphere-related plan-
etary boundary processes providing the resilience (capacity to
dampen disturbance) of Earth system are at or close to a high-risk
level of transgression. In a recent study (18), it was shown that
several regional climate tipping points, relevant for stabilizing the
global system, have already been or are close to being transgressed,
thus weakening global resilience capacity. This implies low/falling
resilience precisely when planetary resilience is needed more than
ever to cope with increasing anthropogenic disturbances. There is
an urgent need for more powerful scientific and policy tools for an-
alyzing the whole of the integrated Earth system with reliability and
regularity and guiding political processes to prevent altering the
state of Earth system beyond levels tolerable for today’s societies.
In addition to more consistent collection and collation of relevant
global environmental data, this will require the development of
Earth system models that more completely capture geosphere-bio-
sphere-anthroposphere interactions than is the case today. The
known interdependence of planetary boundaries is confirmed by
Earth system science understanding (14,22) of the planet as an in-
tegrated, partially self-regulating, system. To better understand the
risk to this system and the critical boundaries that humankind
should consider in its economic and social activities, Earth system
analysis now has to continue advancing a planetary boundaries
framework. In addition, it must substantially increase the ecological
realism of simulation and analyses of the biosphere as an adaptive
core entity of Earth system. These initiatives are underway but have
to be further developed into a coherent process of integrated Earth
system analysis across the physical, chemical, and biological
domains not focused just on climate.
Successfully addressing anthropogenic climate change will
require consideration of internal biosphere-geosphere interactions
within Earth system. Our model results demonstrate that one of the
most powerful means that humanity has at its disposal to combat
climate change is respecting the land system change boundary.
Bringing total global forest cover back to the levels of the late
20th century would provide a substantial cumulative sink for atmo-
spheric CO
2
in 2100. This reforestation seems unlikely, however,
given the current focus on biomass as a replacement for fossil
fuels and the creation of negative CO
2
emissions via bioenergy
with carbon capture and storage. Both activities are already
serving to increase pressure on Earth’s remaining forest area. Nev-
ertheless, our study indicates that failure to respect the land system
change planetary boundary can potentially jeopardize efforts to
achieve the global climate goals adopted in the Paris Agreement.
Meanwhile, this update of the planetary boundaries framework
may serve as a renewed wake-up call to humankind that Earth is in
danger of leaving its Holocene-like state. It may also contribute to
guiding the substantial human opportunities for sustainable devel-
opment on our planet. Scientific insight into planetary boundaries
does not limit, but stimulates, humankind to innovation toward a
future in which Earth system stability is fundamentally preserved
and safeguarded.
MATERIALS AND METHODS
To quantify the aerosol boundary, we considercases where a natural
pulse of sulfate aerosol emissions from volcanic eruptions in the
northern hemisphere led to subsequent rainfall deficits in the
Sahel. The eruption of El Chichón led to a peak interhemispheric
AOD difference of 0.07 and that of Katmai to an AOD difference
of 0.08 (55). We also consider a model study of intentional sulfate
injections into the stratosphere. This study is based on stratospheric
aerosols, which have no direct interaction with clouds and vegeta-
tion. However, it does indicate that an interhemispheric sulfate
AOD difference of ~0.2 would decrease tropical monsoon precipi-
tation in the northern hemisphere by ~10% and India’s mean pre-
cipitation by >20% (59). Together, these studies suggest that a raised
interhemispheric AOD difference caused by persistent and widely
distributed aerosol emissions could lead to major reductions in pre-
cipitation in the tropics.
To examine differing scenarios of transgression of land system
and climate change boundaries, we use the POEM [(85) and the
Supplementary Materials], which links models of atmospheric
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 11 of 16
and ocean circulation with models of the marine (BLING) (94) and
terrestrial biosphere (LPJmL5) [(95) and the Supplementary Mate-
rials]. We study scenarios where each of these two planetary boun-
dary dimensions are either fixed at the value of the boundary, a
value in the zone of increasing risk, or a value in the high-risk
zone. Once the respective scenario condition is attained, the associ-
ated level of scenario forcing remains constant, while the long-term
implications under these fixed conditions evolve. Correspondingly,
vegetation dynamics (e.g., biome distributions) and related carbon
pools and fluxes develop according to biophysical climate interac-
tions under the given forcing conditions, while biogeochemical
feedbacks on the atmosphere are not considered because of the re-
spective boundary or transgression forcing remaining fixed.
Supplementary Materials
This PDF le includes:
Supplementary Information
Figs. S1 to S9
Tables S1 to S3
References
REFERENCES AND NOTES
1. J. Rockström, W. Steffen, K. Noone, Å. Persson, S. Chapin, E. F. Lambin, T. M. Lenton,
M. Scheffer, C. Folke, J. Schellnhuber, B. Nykvist, C. A. DeWit, T. Hughes, S. van der Leeuw,
H. Rodhe, S. Sörlin, P. K. Snyder, R. Costanza, U. Svedin, M. Falkenmark, L. Karlberg,
R. W. Corell, V. J. Fabry, J. Hansen, D. Liverman, K. Richardson, P. Crutzen, J. Foley, A safe
operating space for humanity. Nature 461, 472–475 (2009).
2. W. Steffen, K. Richardson, J. Rockström, S. E. Cornell, I. Fetzer, E. M. Bennett, R. Biggs,
S. R. Carpenter, W. de Vries, C. A. de Wit, C. Folke, D. Gerten, J. Heinke, G. M. Mace,
L. M. Persson, V. Ramanathan, B. Reyers, S. Sörlin, Planetary boundaries: Guiding human
development on a changing planet. Science 347, 1259855 (2015).
3. W. Steffen, K. Richardson, J. Rockström, H. Schellnhuber, O. P. Dube, S. Dutreil,
T. M. Lenton, J. Lubchenco, The emergence and evolution of Earth system science. Nat.
Rev. Earth Environ. 1, 54–63 (2020).
4. J. Zalasiewicz, C. N. Waters, C. Summerhayes, A. P. Wolfe, A. D. Barnosky, A. Cearreta,
P. Crutzen, E. C. Ellis, J. J. Fairchild, A. Gałuszka, P. Haff, I. Hajdas, M. J. Head, J. A. I. do Sul,
C. Jeandel, R. Leinfelder, J. R. McNeill, C. Neal, E. Odada, N. Oreskes, W. Steffen,
J. P. M. Syvitski, M. Wagreich, M. Williams, The working group on the ‘Anthropocene’:
Summary of evidence and recommendations. Anthropocene 19, 55–60 (2017).
5. C. N. Waters, J. Zalasiewicz, C. Summerhayes, A. D. Barnosky, C. Poirier, A. Gałuszka,
A. Cearreta, M. Edgeworth, E. C. Ellis, M. Ellis, C. Jeandel, R. Leinfelder, J. R. McNeill,
D. D. Richter, W. Steffen, J. Syvitski, D. Vidas, M. Wagreich, M. Williams, A. Zhisheng,
J. Grinevald, E. Odada, N. Oreskes, A. P. Wolfe, The Anthropocene is functionally and
stratigraphically distinct from the Holocene. Science 351, eaad2622 (2016).
6. W. F. Ruddiman, Earth’s Climate: Past and Future (Third edition, W.H. Freeman and
Co., 2014).
7. C. P. Summerhayes, Paleoclimatology: From Snowball Earth to the Anthropocene (Wiley-
Blackwell, 2020).
8. H.-J. Schellnhuber, Discourse: Earth system analysis—The scope of the challenge, in Earth
System Analysis: Integrating Science for Sustainability. H.-J. Schellnhuber, V. Wenzel, Eds.
(Springer, Heidelberg, 1998), pp. 3–195.
9. M. B. Osman, J. E. Tierney, J. Zhu, R. Tardif, G. J. Hakim, J. King, C. J. Poulsen, Globally
resolved surface temperatures since the Last Glacial Maximum. Nature 599,
239–244 (2021).
10. R. M. Beyer, M. Krapp, A. Manica, High-resolution terrestrial climate, bioclimate and
vegetation for the last 120,000 years. Sci. Data. 7, 236 (2020).
11. P. K. Snyder, C. Delire, J. A. Foley, Evaluating the influence of different vegetation biomes
on the global climate. Clim. Dyn. 23, 279–302 (2004).
12. P. C. West, G. T.Narisma, C. C. Barford, C. J. Kucharik, J. A. Foley, An alternative approach for
quantifying climate regulation by ecosystems. Front. Ecol. Environ. 9, 126–133 (2010).
13. S. J. Lade, W. Steffen, W. de Vries, S. R. Carpenter, J. F. Donges, D. Gerten, H. Hoff,
T. Newbold, K. Richardson, J. Rockström, Human impacts on planetary boundaries
amplified by Earth system interactions. Nat. Sustain. 3, 119–128 (2020).
14. A. Chrysafi, V. Virkki, M. Jalava, V. Sandström, J. Piipponen, M. Porkka, S. Lade, K. La Mere,
L. Wang-Erlandsson, L. Scherer, L. Andersen, E. Bennett, K. Brauman, G. Cooper, A. De
Palma, P.Döll, A. Downing, T. DuBois, I. Fetzer, E. Fulton, D. Gerten, H. Jaafar, J. Jaegermeyr,
F. Jaramillo, M. Jung, H. Kahiluoto, A. Mackay, L. Lassaletta, D. Mason-D’Croz,
M. Mekonnen, K. Nash, A. Pastor, N. Ramankutty, B. Ridoutt, S. Siebert, B. Simmons,
A. Staal, Z. Sun, A. Tobian, A. Usubiaga-Liaño, R. van der Ent, A. van Soesbergen,
P. Verburg, Y. Wada, S. Zipper, M. Kummu, Quantifying Earth system interactions for
sustainable food production: An expert elicitation. Nat. Sustain. 5, 830–842 (2022).
15. Intergovernmental Panel on Climate Change, Climate Change 2022: Impacts, Adaptation,
and Vulnerability, H.-O. Pörtner, D. C. Roberts, M. Tignor, E. S. Poloczanska, K. Mintenbeck,
A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama, Eds. (Cambridge
Univ. Press, 2022).
16. E. S. Brondizio, J. Settele, S. Díaz, H. T. Ngo, Global Assessment Report on Biodiversity and
Ecosystem Services of the Intergovernmental Science-Policy Platform on Biodiversity and
Ecosystem Services (IPBES, 2019).
17. Intergovernmental Panel on Climate Change, Climate Change 2021: The Physical Science
Basis (Cambridge University Press, 2021).
18. D. A. McKay, A. Staal, J. Abrams, R. Winkelmann, B. Sakschewski, S. Loriani, I. Fetzer,
S. E. Cornell, J. Rockström, T. M. Lenton, Exceeding 1.5°C global warming could trigger
multiple climate tipping points. Science 377, eabn7950 (2022).
19. Past Interglacials Working Group of PAGES, Interglacials of the last 800,000 years. Rev.
Geophys. 54, 162–219 (2016).
20. C. Ragon, V. Lembo, V. Lucarini, C. Vérard, J. Kasparian, M. Brunetti, Robustness of com-
peting climatic states. J. Clim. 35, 2769–2784 (2022).
21. J. M. Anderies, S. R. Carpenter, W. Steffen, J. Rockström, The topology of non-linear global
carbon dynamics: From tipping points to planetary boundaries. Environ. Res. Lett. 8,
044048 (2013).
22. S. J. Lade, J. Norberg, J. Anderies, C. Beer, S. Cornell, J. Donges, I. Fetzer, T. Gasser,
K. Richardson, J. Rockström, W. Steffen, Potential feedbacks between loss of biosphere
integrity and climate change. Glob. Sust. 2, 1–15 (2019).
23. M. Exposito-Alonso, T. R. Booker, L. Czech, T. Fukami, L. Gillespie, S. Hateley, C. C. Kyriazis,
P. L. M. Lang, L. Leventhal, D. Nogues-Bravo,V. Pagowski, M. Ruffley, J. P. Spence, S. E. Toro
Arana, C. L. Weiß, E. Zess, Genetic diversity loss in the Anthropocene. Science 377,
1431–1435 (2022).
24. H. Ceballos, P. R. Ehrlich, A. D. Barnosky, A. García, R. M. Pringle, T. M.Palmer, Accelerated
modern human–induced species losses: Entering the sixth mass extinction. Sci. Adv. 1,
e1400253 (2015).
25. M. D. A. Rounsevell, M. Harfoot, P. A. Harrison, T. Newbold, R. D. Gregory, G. M. Mace, A
biodiversity target based on species extinctions. Science 368, 1193–1195 (2020).
26. R. H. Cowie, P. Bouchet, B. Fontaine, The sixth mass extinction: Fact, fiction or speculation?
Biol. Rev. 97, 640–663 (2022).
27. R. J. Scholes, R. Biggs, A Biodiversity Intactness Index. Nature 434, 45–49 (2005).
28. P. A. Martin, R. E. Green, A. Balmford, The Biodiversity Intactness Index may underestimate
losses. Nat. Evol. 3, 862–863 (2019).
29. S. E. Jorgensen, Y. M. Svirezhev, Towards a Thermodynamic Theory for Ecological Systems
(Elsevier, 2004).
30. A. Kleidon, Sustaining the terrestrial biosphere in the anthropocene: A thermodynamic
Earth system perspective. Ecol. Economy Soc. INSEE J. 6, 53–80 (2023).
31. S. W. Running, A measurable planetary boundary for the biosphere. Science 337,
1458–1459 (2012).
32. H. Haberl, K. H. Erb, F. Krausmann, Human appropriation of net primary production:
Patterns, trends, and planetary boundaries. Annu. Rev. Environ. Res. 39, 363–391 (2014).
33. F. Krausmann, K. H. Erb, S. Gingrich, H. Haberl, A. Bondeau, V. Gaube, C. Lauka, C. Plutzar,
T. D. Searchinger, Global human appropriation of net primary production doubled in the
20th century. Proc. Natl. Acad. Sci. U.S.A. 110, 10324–10329 (2013).
34. L. V. Gatti, L. S. Basso, J. B. Miller, M. Gloor, L. G. Dominigues, H. L. G. Cassol, G. Tejada,
L. E. O. C. Aragao, C. Nobre, W. Peters, L. Marani, E. Arai, A. H. Sanches, S. M. Correa,
L. Anderson, C. Von Randow, C. S. C. Correia, S. P. Crispim, R. A. L. Neves, Amazonia as a
carbon source linked to deforestation and climate change. Nature 595, 388–393 (2021).
35. K. Goldewijk, A. Beusen, J. Doelman, E. Stehfest, Anthropogenic land use estimatesfor the
Holocene –HYDE 3.2. Earth Syst. Sci. Data 9, 927–953 (2017).
36. D. Gerten, V. Heck, J. Jägermeyr, B. L. Bodirsky, I. Fetzer, M. Jalava, M. Kummu, W. Lucht,
J. Rockström, S. Schaphoff, H. J. Schellnhuber, Feeding ten billion people is possible
within four terrestrial planetary boundaries. Nat. Sust. 3, 200–208 (2020).
37. S. Ostberg, W. Lucht, S. Schaphoff, D. Gerten, Critical impacts of global warming on land
ecosystems. Earth Syst. Dyn. 4, 347–357 (2013).
38. W. Schwartz, E. Sala, S. Tracey, R. Watson, D. Pauly, The spatial expansion and ecological
footprint of fisheries (1950 to present). PLOS ONE 5, e15143 (2010).
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 12 of 16
39. J. S. Link, R. A. Watson, Global ecosystem overfishing: Clear delineation within real limits
to production. Sci. Adv. 5, eaav047 (2019).
40. B. Planque, J.-M. Fromentin, P. Cury, K. F. Drinkwater, S. Jennings, R. I. Perry, S. Kifani, How
does fishing alter marine populations and ecosystems sensitivity to climate? J. Mar. Sys.
79, 403–417 (2010).
41. P. M. Forster, C. J. Smith, T. Walsh, W. F. Lamb, M. D. Palmer, K. vonSchuckmann, B. Trewin,
M. Allen, R. Andrew, A. Birt, A. Borger, T. Boyer, J. A. Broersma, L. Cheng, F. Dentener,
P. Friedlingstein, N. Gillett, J. M. Gutiérrez, J. Gütschow, M. Hauser, B. Hall, M. Ishii,
S. Jenkins, R. Lamboll, X. Lan, J.-Y. Lee, C. Morice, C. Kadow, J. Kennedy, R. Killick, J. Minx,
V. Naik, G. Peters, A. Pirani, J. Pongratz, A. Ribes, J. Rogelj, D. Rosen, C.-F. Schleussner,
S. Seneviratne, S. Szopa, P. Thorne, R. Rohde, M. Rojas Corradi, D. Schumacher, R. Vose,
K. Zickfeld, X. Zhang, V. Masson-Delmotte, P. Zhai, Indicators of Global Climate Change
2022: Annual update of large-scale indicators of the state of the climate system and the
human influence. Earth Syst. Sci. Data 15, 2295–2327 (2023).
42. H. Schellnhuber, S. Rahmstorf, R. Winkelmann, Why the right climate target was agreed in
Paris. Nat. Clim. Change 6, 649–653 (2016).
43. L. Persson, B. Almroth, C. Collins, S. Cornell, C. de Wit, M. Diamond, P. Fantke, M. Hassellöv,
M. MacLeod, M. Ryberg, P.Jørgensen, P. Villarrubia-Gómez, Z. Wang, M. Zwicky Hauschild,
Outside the safe operating space of the planetary boundary for novelentities. Environ. Sci.
Tech. 56, 1510–1521 (2022).
44. P. J. Nair, L. Froidevaux, J. Kuttippurath, J. M. Zawodny, J. M. Russell III, W. Steinbrecht,
H. Claude, T. Leblanc, J. A. E. van Gijsel, B. Johnson, D. P. J. Swart, A. Thomas, R. Querel,
R. Wang, J. Anderson, Subtropical and midlatitude ozone trends in the stratosphere:
Implications for recovery. J. Geophys. Res. Atmos. 120, 7247–7257 (2015).
45. A. Pazmiño, S. Godin-Beekmann, A. Hauchecorne, C. Claud, S. Khaykin, F. Goutail,
E. Wolfram, J. Salvador, E. Quel, Multiple symptoms of total ozone recovery inside the
Antarctic vortex during austral spring. Atmospheric Chem. Phys. 18, 7557–7572 (2018).
46. M. Porkka, V. Virkki, L. Wang-Erlandsson, D. Gerten, T. Gleeson, C. Mohan, I. Fetzer,
F. Jaramillo, A. Staal, S. te Wierik, A. Tobian, R. van der Ent, P. Döll, M. Flörke, S. N. Gosling,
N. Hanasaki, Y. Satoh, H. M. Schmied, N. Wanders, J. Rockström, M. Kummu, Global water
cycle shifts far beyond pre-industrial conditions –Planetary boundary for freshwater
change transgressed (2023); https://eartharxiv.org/repository/view/3438/.
47. T. Gleeson, L. Wang-Erlandsson, S. C. Zipper, M. Porkka, F. Jaramillo, D. Gerten, I. Fetzer,
S. E. Cornell, L. Piemontese, L. J. Gordon, J. Rockström, T. Oki, M. Sivapalan, Y. Wada,
K. A. Brauman, M. Flörke, M. F. P. Bierkens, B. Lehner, P. Keys, M. Kummu, T. Wagener,
S. Dadson, T. J. Troy, W. Steffen, M. Falkenmark, J. S. Famiglietti, The water planetary
boundary: Interrogation and revision. One Earth. 2, 223–234 (2020).
48. L. Wang-Erlandsson, A. Tobian, R. J. van der Ent, I. Fetzer, S. te Wierik, M. Porkka, A. Staal,
F. Jaramillo, H. Dahlmann, C. Singh, P. Greve, D. Gerten, P.W. Keys, T. Gleeson, S. E. Cornell,
W. Steffen, X. Bai, J. Rockström, A planetary boundary for green water. Nat. Rev. Earth
Environ. 3, 380–392 (2022).
49. Y. Qin, N. D. Mueller, S. Siebert, R. B. Jackson, A. A. Kouchak, J. B. Zimmerman, D. Tong,
C. Hong, S. J. Davis, Flexibility and intensity of global water use. Nat. Sustain. 2,
515–523 (2019).
50. K. S. Carslaw, H. Gordon, D. S. Hamilton, J. S. Johnson, L. A. Regayre, M. Yoshioka,
K. J. Pringle, Aerosols in the pre-industrial atmosphere. Curr. Clim. Chang. Rep. 3,
1–15 (2017).
51. N. Bellouin, J. Quaas, E. Gryspeerdt, S. Kinne, P. Stier, D. Watson-Parris, O. Boucher,
K. S. Carslaw, M. Christensen, A.-L. Daniau, J.-L. Dufresne, G. Feingold, S. Fiedler, P. Forster,
A. Gettelman, J. M. Haywood, U. Lohmann, F. Malavelle, T. Mauritsen, D. T. McCoy,
G. Myhre, J. Mülmenstädt, D. Neubauer, A. Possner, M. Rugenstein, Y. Sato, M. Schulz,
S. E. Schwartz, O. Sourdeval, T. Storelvmo, V. Toll, D. Winker, B. Stevens, Bounding global
aerosol radiative forcing of climate change. Rev. Geophys. 58, e2019RG000660 (2020).
52. J. Hooper, S. K. Marx, A global doubling of dust emissions during the Anthropocene?
Glob. Planet. Change 169, 70–91 (2018).
53. P. Kinppertz, M. C. Todd, Mineral dust aerosols over the Sahara: Meteorological controls
on emission and transport and implications for modeling. Rev. Geophys. 50,
RG1007 (2012).
54. M. L. Griffiths, K. R. Johnson, F. S. R. Pausata, J. C. White, G. M. Henderson, C. T. Wood,
H. Yang, V. Ersek, C. Conrad, N. Sekhon, End of Green Sahara amplified mid- to late Ho-
locene megadroughts in mainland Southeast Asia. Nat. Commun. 11, 4204 (2020).
55. M. Chin, T. Diehl, Q. Tan, J. M. Prospero, R. A. Kahn, L. A. Remer, H. Yu, A. M. Sayer, H. Bian,
I. V. Geogdzhayev, B. N. Holben, S. G. Howell, B. J. Huebert, N. C. Hsu, D. Kim, T. L. Kucsera,
R. C. Levy, M. I. Mishchenko, X. Pan, P. K. Quinn, G. L. Schuster, D. G. Streets, S. A. Strode,
O. Torres, X.-P. Zhao, Multi-decadal aerosol variations from 1980 to 2009: A perspective
from observations and a global model. Atmos. Chem. Phys. 14, 3657–3690 (2014).
56. L. Sogacheva, T. Popp, A. M. Sayer, O. Dubovik, M. J. Garay, A. Heckel, N. C. Hsu, H. Jethva,
R. A. Kahn, P. Kolmonen, M. Kosmale, G. de Leeuw, R. C. Levy, P. Litvinov, A. Lyapustin,
P. North, O. Torres, Merging regional and global AOD records from 15 available satellite
products. Atmos. Chem. Phys. 20, 2031–2056 (2019).
57. A. Vogel, G. Alessa, R. Scheele, L. Weber, O. Dubovik, P. North, S. Fiedler, Uncertainty in
aerosol optical depth from modern aerosol-climate models, reanalyses, and satellite
products. J. Geophys. Res. Atmos. 127, e2021JD035483 (2022).
58. J. Haywood, A. Jones, N. Bellouin, D. Stephenson, Asymmetric forcing from stratospheric
aerosols impacts Sahelian rainfall. Nat. Clim. Change. 3, 660–665 (2013).
59. K. S. Krishnamohan, G. Bala, Sensitivity of tropical monsoon precipitation to the latitude
of stratospheric aerosol injections. Clim. Dyn. 59, 151–168 (2022).
60. S. Roose, G. Bala, K. S. Krishnamohan, L. Cao, K. Caldeira, Quantification of tropical
monsoon precipitation changes in terms of interhemispheric differences in stratospheric
sulfate aerosol optical depth. Clim. Dyn. 2023, 1–16 (2023).
61. A. Donohoe, J. Marshall, D. Ferreira, D. Mcgee, The relationship between ITCZ location
and cross-equatorial atmospheric heat transport: From the seasonal cycle to the last
glacial maximum. J. Clim. 26, 3597–3618 (2013).
62. M. C. MacCracken, H.-J. Shin, K. Caldeira, G. A. Ban-Weiss, Climate response to imposed
solar radiation reductions in high latitudes. Earth Syst. Dyn. 4, 301–315 (2013).
63. N. Devaraju, G. Bala, A. Modak, Effects of large-scale deforestation on precipitation in the
monsoon regions: Remote versus local effects. Proc. Natl. Acad. Sci. U.S.A. 112,
3257–3262 (2015).
64. I. B. Ocko, V. Ramaswamy, Y. Ming, Contrasting climate responses to the scattering and
absorbing features of anthropogenic aerosol forcings. J. Clim. 27, 5329–5345 (2014).
65. M. Zhao, L. Cao, G. Bala, L. Duan, Climate response to latitudinal and altitudinal distri-
bution of stratospheric sulfate aerosols. J. Geophys. Res. Atmos. 126,
e2021JD035379 (2021).
66. J. T. Fasullo, B. L. Otto-Bliesner, S. Stevenson, The influence of volcanic aerosol meridional
structure on monsoon responses over the last millennium. Geophys. Res. Lett. 46,
12350–12359 (2019).
67. S. Fiedler, T. Crueger, R. D’Agostino, K. Peters, T. Becker, D. Leutwyler, L. Paccini,
J. Burdanowitz, S. Buehler, A. Uribe, T. Dauhut, D. Dommenget, K. Fraedrich,
L. Jungandreas, N. Maher, A. Naumann, M. Rugenstein, M. Sakradzija, H. Schmidt,
F. Sielmann, C. Stephan, C. Timmreck, X. Zhu, B. Stevens, Simulated tropical precipitation
assessed acrossthree major phases of the Coupled Model Intercomparison Project (CMIP).
Mon. Weather Rev. 148, 3653–3680 (2020).
68. P. Zanis, D. Akritidis, A. K. Georgoulias, R. J. Allen, S. E. Bauer, O. Boucher, J. Cole,
B. Johnson, M. Deushi, M. Michou, J. Mulcahy, P. Nabat, D. Olivié, N. Oshima, A. Sima,
M. Schulz, T. Takemura, K. Tsigaridis, Fast responses on pre-industrial climate from
present-day aerosols in a CMIP6 multi-model study. Atmos. Chem. Phys. 20,
8381–8404 (2020).
69. S. Fiedler, B. Stevens, M. Gidden, S. J. Smith, K. Riahi, D. van Vuuren, Firstforcing estimates
from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an as-
sociated Twomey effect. Geosci. Model Dev. 12, 989–1007 (2019).
70. N. M. Mahowald, R. Scanza, J. Brahney, C. L. Goodale, P. G. Hess, J. K. Moore, J. Neff, Aerosol
deposition impacts on land and ocean carbon cycles. Curr. Clim. Change Rep. 3,
16–31 (2017).
71. L. Jiang, R. A. Feely, B. R. Carter, D. J. Greeley, D. K. Gledhill, K. M. Arzayus, Climatological
distribution of aragonite saturation state in the global oceans. Glob. Biogeochem. Cycles.
29, 1656–1673 (2015).
72. EU Copernicus Climate Change Service, “Land cover classification gridded maps from
1992 to present derived from satellite observations”, ICDR Land Cover 2016–2020.
73. Food and Agricultural Organization of the United Nations, (FAO), United Nations’Envi-
ronmental Program, (UNEP), “The State of the World’s Forests 2020. Forests, biodiversity
and people”(Publication 978-92-5-132419-6, 2020); https://doi.org/10.4060/ca8642en.
74. Food and Agricultural Organization of the United Nations, (FOA),“Global Forest Resources
Assessment 2020: Main report”(Publication 978-92-5-132974-0, 2020); https://doi.org/10.
4060/ca9825en.
75. S. R. Carpenter, E. M. Bennett, Reconsiderationof the planetary boundary for phosphorus.
Environ. Res. Lett. 6, 014009 (2011).
76. C. Liu, H. Tian, Global nitrogen and phosphorus fertilizer use for agriculture production in
the past half century: Shifted hot spots and nutrient imbalance. Earth Syst. Sci. Data 9,
181–192 (2017).
77. W. J. Brownlie, M. A. Sutton, K. V. Heal, D. S. Reay,B. M. Spears (eds.), Our Phosphorus Future
(U.K. Centre for Ecology & Hydrology, 2022).
78. T. Zou, X. Zhang, E. Davidson, Improving phosphorus use efficiency in cropland to
address phosphorus challenges by 2050. Earth Space Sci. Open Archive, (2020). https://doi.
org/10.1002/essoar.10504095.1
79. D. Cordell, S. White, Life’s bottleneck: Sustaining the World’s phosphorus for a food
secure future. Annu. Rev. Environ. Res. 39, 161–188 (2014).
80. Food and Agriculture Organisation of the United Nations (FAO), “World fertilizer trends
and outlook to 2022 –Summary Report, Rome”(2019); www.fao.org/3/ca6746en/
ca6746en.pdf)
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 13 of 16
81. M. A. Adams, N. Buchmann, J. Sprent, T. N. Buckley, T. L. Turnbull, Crops, nitrogen, water:
Are legumes friend, foe, or misunderstood ally? Trends Plant. Sci. 23, 539–550 (2018).
82. P. M. Vitousek, D. N. L. Menge, S. C. Reed, C. C. Cleveland, Biological nitrogen fixation:
Rates, patterns and ecological controls in terrestrial ecosystems. Philos. Trans. R. Soc. Lond.
B. Biol. Sci. 368, 1621 (2013).
83. M. V. B. Figueiredo, A. E. S. Mergulhão, J. K. Sobral, M. A. L. Junio, A. S. F. Araújo, Biological
nitrogen fixation: Importance, associated diversity, and estimates, in Plant Microbe Sym-
biosis: Fundamentals and Advances (Springer, 2013), pp. 267–289.
84. FAO, “FAOSTAT—FAO database for food and agriculture”(2022); www.fao.org/faostat/
(accessed 4.19.22)
85. M. Drüke, W. von Bloh, S. Petri, B. Sakschewski, S. Schaphoff, M. Forkel, W. Huiskamp,
G. Feulner, K. Thonicke, CM2Mc-LPJmL v1.0: Biophysical coupling of a process-based
dynamic vegetation model with managed land to a general circulation model. Geosci.
Model. Dev. 14, 4117–4141 (2021).
86. K.-H. Erb, T. Kastner, C. Plutzar, A. L. S. Bais, N. Carvalhais, T. Fetzel, S. Gingrich, H. Haberl,
C. Lauk, M. Niedertscheider, J. Pongratz, M. Thurner, S. Luyssaert, Unexpectedly large
impact of forest management and grazing on global vegetation biomass. Nature 553,
73–76 (2017).
87. Y. M. Bar-On, R. Phillips, R. Milo, The biomass distribution on Earth. Proc. Natl. Acad. Sci.
U.S.A. 115, 6506–6511 (2018).
88. K. Matsuomoto, T. Hashioka, Y. Yamanaka, Effect of temperature-dependent organic
carbon decay on atmospheric pCO
2
.J. Geophys. Res. 112, G02007 (2007).
89. L. Kwiatkowski, O. Torres, L. Bopp, O. Aumont, M. Chamberlain, J. R. Christian, J. P. Dunne,
M. Gehlen, T. Ilyina, J. G. John, A. Lenton, H. Li, N. S. Lovenduski, J. C. Orr, J. Palmieri,
Y. Santana-Falcón, J. Schwinger, R. Séférian, C. A. Stock, A. Tagliabue,Y. Takano, J. Tjiputra,
K. Toyama, H. Tsujino, M. Watanabe, A. Yamamoto, A. Yool, T. Ziehn, Twenty-first century
ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary
production decline from CMIP6 model projections. Biogeosci 17, 3439–3470 (2020).
90. E. A. Laws, E. D’Sa, P. Naik, Simple equations to estimate ratios of new or export pro-
duction to total production from satellite-derived estimates of sea surface temperature
and primary production. Limnol. Oceanogr. Meth. 9, 593–601 (2011).
91. C. M. Marsay, R. J. Sanders, S. A. Henson, K. Pabortsava, E. P. Achterberg, R. S. Lampitt,
Attenuation of sinking POC flux in the mesopelagic. Proc. Natl. Acad. Sci. U.S.A. 112,
1089–1094 (2015).
92. K. A. Chrichton, J. D. Wilson, A. Ridgewell, F. Boscob-Galazzo, E. H. John, B. S. Wade,
P. N. Pearson, What the geological past can tell us about the future of the ocean’s twilight
zone. Nat. Commun. 14, 2376 (2023).
93. The Royal Society, “Ocean acidification due to increasing atmospheric carbon dioxide”
(Publication 0 85403 617 2, Policy Doc. 12/05, R. Soc., 2005).
94. E. D. Galbraith, J. P. Dunne, A. Gnanadesikan, R. D. Slater, J. L. Sarmiento, C. O. Dufour,
G. F. de Souza, D. Bianchi, M. Claret, K. B. Rodgers, S. S. Marvasti, Complex functionality
with minimal computation: Promise and pitfalls of reduced-tracerocean biogeochemistry
models. J. Adv. Model Earth Syst. 7, 2012–2028 (2015).
95. S. Schaphoff, M. Forkel, C. Müller, J. Knauer, W. von Bloh, D. Gerten, J. Jägermeyr, W.Lucht,
A. Rammig, K. Thonicke, K. Waha, LPJmL4 –A dynamic global vegetation model with
managed land –Part 2: Model evaluation. Geosci. Model Dev. 11, 1377–1403 (2018b).
96. NASA Earth Observation, “AURA Ozone data”; https://neo.gsfc.nasa.gov/archive/geotiff.
float/AURA_OZONE_M/.
97. N. Ramankutty, J. A. Foley, Characterizing patterns of global land use: An analysis of
global croplands data. Glob. Biogeochem. Cycles. 12, 667–685 (1998).
98. C. W. Snyder, M. D. Mastrandrea, S. H. Schneider, The complex dynamics of the climate
system: Constraints on our knowledge, policy implications and the necessity of systems
thinking. Philos. Complex Syst. 10, 467–505 (2011).
99. M. Willeit, A. Ganopolski, R. Calov, V. Brovkin, Mid-Pleistocene transition in glacial cycles
explained by declining CO
2
and regolith removal. Sci. Adv. 5, eaav7337 (2019).
100. J. Zheng, J. L. Payne, A. Wagner, Cryptic genetic variation accelerates evolution by
opening access to diverse adaptive peaks. Science 365, 347–353 (2019).
101. M. C. Bitter, L. Kapsenberg, J.-P. Gattuso, C. A. Pfister, Standing genetic variation fuels
rapid adaptation to ocean acidification. Nat. Commun. 10, 5821 (2019).
102. T. H. Oliver, M. S. Heard, N. J. Isaac, D. B. Roy, D. Procter, F. Eigenbrod, R. Freckleton,
A. Hector, C. D. L. Orme, O. L. Petchey, V.Proença, Biodiversity and resilience of ecosystem
functions. Trends Ecol. Evol. 30, 673–684 (2015).
103. A. A. Hoffmann, C. M. Sgrò, T. N. Kristensen, Revisiting adaptivepotential, population size,
and conservation. Trends Ecol. Evol. 32, 506–517 (2017).
104. A. Miraldo, S. Li, M. K. Borregaard, A. Flórez-Rodríguez, S. Gopalakrishnan, M. Rizvanovic,
Z. Wang, C. Rahbek, K. A. Marske, D. Nogués-Bravo, An anthropocene map of genetic
diversity. Science 353, 1532–1535 (2016).
105. S. Blanchet, J. G. Prunier, H. De Kort, Time to go bigger: Emerging patterns in macro-
genetics. Trends Genet. 33, 579–580 (2017).
106. S. Theodoridis, D. A. Fordham, S. C. Brown, S. Li, C. Rahbek, D. Nogues-Bravo, Evolutionary
history and past climate change shape the distribution of genetic diversity in terrestrial
mammals. Nat. Commun. 11, 2557 (2020).
107. D. M. Leigh, C. B. van Rees, K. L. Millette, M. F. Breed, C. Schmidt, L. D. Bertola, B. K. Hand,
M. E. Hunter, E. L. Jensen, F. Kershaw,L. Liggins, G. Luikart, S. Manel, J. Mergeay, J. M. Miller,
G. Segelbacher, S. Hoban, I. Paz-Vinas, Opportunities and challenges of macrogenetic
studies. Nat. Rev. Genet. 22, 791–807 (2021).
108. S. Theodoridis, C. Rahbek, D. Nogués-Bravo, Exposure of mammal genetic diversity to
mid-21
st
century global change. Ecography 44, 817–831 (2021).
109. S. Hoban, M. Brufordb, J. D’Urban Jackson, M. Lopes-Fernandes, M. Heuertz,
P. A. Hohenlohe, I. Paz-Vinas, P. Sjögren-Gulve, G. Segelbacher, C. Vernesi, S. Aitken,
L. D. Bertola, P. Bloomer, M. Breed, H. Rodríguez-Correa, W. C. Funk, C. E. Grueber,
M. E. Hunter, L. Laikre, Genetic diversity targets and indicators in the CBD post-2020
global biodiversity framework must be improved. Biol. Conserv. 248, 108654 (2020).
110. A. Ganopolski, V. Brovkin, Simulation of climate, ice sheets and CO
2
evolution during the
last four glacial cycles with an Earth system model of intermediate complexity. Clim. 13,
1695–1716 (2017).
111. S. Schaphoff, W. Bloh, A. Rammig, K. Thonicke, H. Biemans, M. Forkel, D. Gerten, J. Heinke,
J. Jägermeyr, J. Knauer, F. Langerwisch, W. Lucht, C. Müller, S. Rolinski, K. Waha, LPJmL4–a
dynamic global vegetation model with managed land –Part 1: Model description. Geosci.
Model Dev. 11, 1343–1375 (2018).
112. I. C. Harris, P. D. Jones, “CRU TS3.23: Climatic Research Unit (CRU) Time-Series (TS) Version
3.23 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901-
Dec. 2014)”(CEDA Archive, 2015); https://catalogue.ceda.ac.uk/uuid/
5dca9487dc614711a3a933e44a933ad3
113. I. Harris, P. Jones, T. Osborn, D. Lister, Updated high-resolution grids of monthly climatic
observations –The CRU TS3.10 dataset. Int. J. Climatol. 34, 623–642 (2014).
114. D. Kaufman, N. McKay, C. Routson, M. Erb, C. Dätwyler, P. S. Sommer, O. Heiri, B. Davis,
Holocene global mean surface temperature, a multi-method reconstruction approach.
Sci. Data 7, 201 (2020).
115. H. Haberl, K. H. Erb, F. Krausmann, V. Gaube, A. Bondeau, C. Plutzar, S. Gingrich, W. Lucht,
M. Fischer-Kowalski, Quantifying and mapping the human appropriation of net primary
production in Earth’s terrestrial ecosystems. Proc. Natl. Acad. Sci. U.S.A. 104,
12942–12947 (2007).
116. D. Lawrence, K. Vandecar, Effects of tropical deforestation on climate and agriculture. Nat.
Clim. Change 5, 27–36 (2015).
117. P. W. Keys, L. Wang-Erlandsson, L. J. Gordon, Revealing invisible water: Moisture recycling
as an ecosystem service. PLOS ONE 11, e0151993 (2016).
118. L. Wang-Erlandsson, I. Fetzer, P. W. Keys, R. J. van der Ent, H. H. G. Savenije, L. J. Gordon,
Remote land use impacts on river flows through atmospheric teleconnections. Hydrol.
Earth Syst. Sci. 22, 4311–4328 (2018).
119. D. Gerten, H. Hoff, J. Rockström, J. Jägermeyr, M. Kummu, A. V. Pastor, Towards a revised
planetary boundary for consumptive freshwater use: Role of environmental flow re-
quirements. Curr. Opin. Environ. Sustain. 5, 551–558 (2013).
120. J. Liu, C. Zang, S. Tian, J. Liu, H. Yang, S. Jia, L. You, B. Liu, M. Zhang, Water conservancy
projects in China: Achievements, challenges and way forward. Glob. Environ. Change 23,
633–643 (2013).
121. J. Sillmann, C. W. Stjern, G. Myhre, B. H. Samset, Ø. Hodnebrog, T. Andrews, O. Boucher,
G. Faluvegi, P. Forster, M. R. Kasoar, V. V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. J. L. Olivié,
T. B. Richardson, D. Shindell, T. Takemura, A. Voulgarakis, F. W. Zwiers, Extreme wet and
dry conditions affected differently by greenhouse gases and aerosols. Nat. Clim. Atmo-
spheric Sci. 2, 1–7 (2019).
122. N. L. Poff, J. D. Olden, D. M. Merritt, D. M. Pepin, Homogenization of regional river dy-
namics by dams and global biodiversity implications. Proc. Natl. Acad. Sci. U.S.A. 104,
5732–5737 (2007).
123. A. Staal, O. A. Tuinenburg, J. H. C. Bosmans, M. Holmgren, E. H. van Nes, M. Scheffer,
D. C. Zemp, S. C. Dekker, Forest-rainfall cascades buffer against drought across the
Amazon. Nat. Clim. Change 8, 539–543 (2018).
124. A. Günther, A. Barthelmes, V. Huth, H. Joosten, G. Jurasinski, F. Koebsch, J. Couwenberg,
Prompt rewetting of drained peatlands reduces climate warming despite methane
emissions. Nat. Commun. 11, 1644 (2020).
125. T. Maavara, Q. Chen, K. Van Meter, L. E. Brown, J. Zhang, J. Ni,C. Zarfl, River dam impacts
on biogeochemical cycling. Nat. Rev. Earth Environ. 1, 103–116 (2020).
126. N. Boers, N. Marwan, H. M. J. Barbosa, J. Kurths, A deforestation-induced tipping point for
the south American monsoon system. Sci. Rep. 7, 41489 (2017).
127. K. Frieler, S. Lange, F. Piontek, C. P. O. Reyer, J. Schewe, L. Warszawski, F. Zhao, L. Chini,
S. Denvil, K. Emanuel, T. Geiger, K. Halladay, G.Hurtt, M. Mengel, D. Murakami, S. Ostberg,
A. Popp, R. Riva, M. Stevanovic, T. Suzuki, J. Volkholz, E. Burke, P. Ciais, K. Ebi, T. D. Eddy,
J. Elliott, E. Galbraith, S. N. Gosling, F. Hattermann, T. Hickler, J. Hinkel, C. Hof, V. Huber,
SCIENCE ADVANCES |RESEARCH ARTICLE
Richardson et al.,Sci. Adv. 9, eadh2458 (2023) 13 September 2023 14 of 16
J. Jägermeyr, V. Krysanova, R. Marcé, H. Müller Schmied, I. Mouratiadou, D. Pierson,
D. P. Tittensor, R. Vautard, M. van Vliet, M. F. Biber, R. A. Betts, B. L. Bodirsky, D. Deryng,
S. Frolking, C. D. Jones, H. K. Lotze, H. Lotze-Campen, R. Sahajpal, K. Thonicke, H. Tian,
Y. Yamagata, Assessing the impacts of 1.5 °C global warming –Simulation protocol of the
Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geosci. Model Dev. 10,
4321–4345 (2017).
128. S. Siebert, M. Kummu, M. Porkka, P. Döll, N. Ramankutty, B. R. Scanlon, A global dataset of
the extent of irrigated land from 1900 to 2005. Hydrol. Earth Syst. Sci. 19,
1521–1545 (2015).
129. Y. Wada, M. F. P. Bierkens, Sustainability of global water use: Past reconstruction and
future projections. Environ. Res. Lett. 9, 104003 (2014).
130. C. Zarfl, A. E. Lumsdon, J. Berlekamp, L. Tydecks, K. Tockner, A global boom in hydropower
dam construction. Aquat. Sci. 77, 161–170 (2015).
131. R. J. Keenan, G. A. Reams, F. Achard, J. V. de Freitas, A. Grainger, E. Lindquist, Dynamics of
global forest area: Results from the FAO Global Forest Resources Assessment 2015. For.
Ecol. Manag. 352, 9–20 (2015).
132. A. Barnosky, E. Hadly, J. Bascompte, E. L. Berlow, J. H. Brown, M. Fortelius, W. M. Getz,
J. Harte, A. Hastings, P. A. Marquet, N. D. Martinez, A. Mooers, P. Roopnarine, G. Vermij,
J. W. Williams, R. Gillespie, J. Kitzes, C. Marshall, N. Matzke, D. P. Mindell, E. Revilla,
A. B. Smith, Approaching a state shift in Earth’s biosphere. Nature 486, 52–58 (2012).
133. H. J. Fowler, G. Lenderink, A. F. Prein, S. Westra, R. P. Allan, N. Ban, R. Barbero, P. Berg,
S. Blenkinsop, H. X. Do, S. Guerreiro, J. O. Haerter, E. J. Kendon, E. Lewis, C. Schaer,
A. Sharma, G. Villarini, C. Wasko, X. Zhang, Anthropogenic intensification of short-dura-
tion rainfall extremes. Nat. Rev. Earth Environ. 2, 107–122 (2021).
134. L. Gudmundsson, J. Boulange, H. X. Do, S. N. Gosling, M. G. Grillakis, A. G. Koutroulis,
M. Leonard, J. Liu, N. M. Schmied, L. Papadimitriou, Y. Pokhrel, S. I. Seneviratne, Y. Satoh,
W. Thiery, S. Westra, X. Zhang, F. Zhao, Globally observed trends in mean and extreme
river flow attributed to climate change. Science 371, 1159–1162 (2021).
135. J. Spinoni, G. Naumann, H. Carrao, P. Barbosa, J. Vogt, Worlddrought frequency, duration,
and severity for 1951–2010. Int. J. Climatol. 34, 2792–2804 (2014).
136. T. G. Huntington, Evidence for intensification of the global water cycle: Review and
synthesis. J. Hydrol. 319, 83–95 (2006).
137. J. Jägermeyr, A. Pastor, H. Biemans, D. Gerten, Reconciling irrigated food productionwith
environmental flows for sustainable development goals implementation. Nat. Commun.
8, 15900 (2017).
138. A. V. Pastor, F. Ludwig, H. Biemans, H. Hoff, P. Kabat, Accounting for environmental flow
requirements in global water assessments. Hydrol. Earth Syst. Sci. 18, 5041–5059 (2014).
139. V. Virkki, E. Alanärä, M. Porkka, L. Ahopelto, T. Gleeson, C. Mohan, L. Wang-Erlandsson,
M. Flörke, D. Gerten, S. N. Gosling, N. Hanasaki, H. Müller Schmied, N. Wanders, M. Kummu,
Globally widespread and increasing violations of environmental flow envelopes. Hydrol.
Earth Syst. Sci. 26, 3315–3336 (2022).
140. P. Greve, B. Orlowsky, B. Mueller, J. Sheffield, M. Reichstein, S. I. Seneviratne, Global as-
sessment of trends in wetting and drying over land. Nat. Geosci. 7, 716–721 (2014).
141. P. Micklin, The aral sea disaster. Annu. Rev. Earth Planet. Sci. 35, 47–72 (2018).
142. W. M. Hammond, A. P. Williams, J. T. Abatzoglou, H. D. Adams, T. Klein, R. López, C. Sáenz-
Romero, H. Hartmann, D. D. Breshears, C. D. Allen, Global field observations of tree die-off
reveal hotter-drought fingerprint for Earth’s forests. Nat. Commun. 13, 1761 (2022).
143. R. S. Cottrell, K. L. Nash, B. S. Halpern, T. A. Remenyi, S. P. Corney, A. Fleming, E. A. Fulton,
S. Hornborg, A. Johne, R. A. Watson, J. L. Blanchard, Food production shocks across land
and sea. Nat. Sustain. 2, 130–137 (2019).
144. J. Schöngart, F. Wittmann, A. Faria de Resende, C. Assahira, G. de Sousa Lobo,
J. R. D. Neves, M. da Rocha, G. B. Mori, A. C. Quaresma, L. O. Demarchi, B. W. Albuquerque,
Y. O. Feitosa, G. da Silva Costa, G. V. Feitoza, F. M. Durgante, A. Lopes, S. E. Trumbore,
T. S. F.Silva, H. ter Steege, A. L. Val, W. J. Junk, M. T. F. Piedade, The shadow of the Balbina
dam: A synthesis of over 35 years of downstream impacts on floodplain forests in Central
Amazonia. Aquat. Conserv. Mar. Freshw. Ecosyst. 31, 1117–1135 (2021).
145. B. R. Deemer, J. A. Harrison, S. Li, J. J. Beaulieu, T. DelSontro, N. Barros, J. F. Bezerra-Neto,
S. M. Powers, M. A. dos Santos, J. A. Vonk, Greenhouse gas emissions from reservoir water
surfaces: A new global synthesis. BioScience 66, 949–964 (2016).
146. A. Clarke, V. Kapustin, Hemispheric aerosol vertical profiles: Anthropogenic impacts on
optical depth and cloud nuclei. Science 329, 1488–1492 (2010).
147. P.-A. Monerie, L. J. Wilcox, A. G. Turner, Effects of anthropogenic aerosol and greenhouse
gas emissions on northern hemisphere monsoon precipitation: Mechanisms and uncer-
tainty. J. Clim. 35, 2305–2326 (2022).
148. J. Cao, H. Wang, B. Wang, H. Zhao, C. Wang, X. Zhu, Higher sensitivity of northern
hemisphere monsoon to anthropogenic aerosol than greenhouse gases. Geophys. Res.
Lett. 49, e2022GL100270 (2022).
149. B. Zhuang, Y. Gao, Y. Hu, H. Chen, T. Wang,S. Li, M. Li, M. Xie, Interaction between different
mixing aerosol direct effects and East Asian summer monsoon. Clim. Dyn. 61,
1157–1176 (2022).
150. D. M. Westervelt, Y. You, X. Li, M. Ting, D. E. Lee, Y. Ming, Relative importance of green-
house gases, sulfate, organic carbon, and black carbon aerosol for south asian monsoon
rainfall changes. Geophys. Res. Lett. 47, e2020GL088363 (2020).
151. E. D. Galbraith, E. Y. Kwon, A. Gnanadesikan, K. B. Rodgers, S. M. Griffies, D. Bianchi,
J. L. Sarmiento, J. P. Dunne, J. Simeon, R. D. Slater, A. T. Wittenberg, I. M. Held, Climate
variability and radiocarbon in the CM2Mc Earth system model. J. Clim. 24,
4230–4254 (2011).
152. W. von Bloh, S. Schaphoff, C. Müller, S. Rolinski, K. Waha, S. Zaehle, Implementing the
nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model
LPJmL (version 5.0). Geosci. Model Dev. 11, 2789–2812 (2018).
153. P. C. D. Milly, A. B. Shmakin, Global modeling of land water and energy balances. Part I:
The land dynamics (LaD) model. J. Hydrometeorol. 3, 283–299 (2002).
154. J. L. Anderson, V. Balaji, A. J. Broccoli, W. F. Cooke, T. L. Delworth, K. W. Dixon, L. J. Donner,
K. A. Dunne, S. M. Freidenreich, S. T. Garner, R. G. Gudgel, C. T. Gordon, I. M. Held,
R. S. Hemler, L. W. Horowitz, S. A. Klein, T. R. Knutson, P. J. Kushner, A. R. Langenhost,
N. C. Lau, Z. Liang, S. L. Malyshev, P. C. D. Milly, M. J. Nath, J. J. Ploshay, V. Ramaswamy,
M. D. Schwarzkopf, E. Shevliakova, J. J. Sirutis, B. J. Soden, W. F. Stern, L. A. Thompson,
R. J. Wilson, A. T. Wittenberg, B. L. Wyman, The new GFDL global atmosphere and land
model AM2-LM2: Evaluationvwith prescribed SST simulations. J. Clim. 17,
4641–4673 (2004).
155. S. Sitch, B. Smith, I. C. Prentice, A. Arneth, A. Bondeau, W. Cramer, J. O. Kaplan, S. Levis,
W. Lucht, M. T. Sykes, K. Thonicke, S. Venevsky, Evaluation of ecosystem dynamics, plant
geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model.
Glob. Change Biol. 9, 161–185 (2003).
156. D. Gerten, S. Schaphoff, U. Haberlandt, W. Lucht, S. Sitch, Terrestrial vegetation and large-
scale water balance. Hydrological evaluation of a dynamic global vegetation model.
J. Hydrol. 286, 249–270 (2004).
157. A. Bondeau, P. Smith, S. Zaehle, S. Schaphoff, W. Lucht, W. Cramer, D. Gerten, H. Lotze-
Campen, C. Müller, M. Reichstein, B. Smith, Modelling the role of agriculturefor the 20th
century global terrestrial carbon balance. Glob. Change Biol. 13, 1–28 (2007).
158. K. Thonicke, A. Spessa, I. C. Prentice, S. P. Harrison, L. Dong, C. Carmona-Moreno, The
influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas
emissions: Results from a process-based model. Biogeosci. 7, 1991–2011 (2010).
159. M. Drüke, M. Forkel, W. von Bloh, B. Sakschewski, M. Cardoso, M. Bustamante, J. Kurths,
K. Thonicke, Improving the LPJmL4-SPITFIRE vegetation-fire model for South America
using satellite data. Geosci. Model. Dev. 12, 5029–2054 (2019).
160. M. Forkel, N. Carvalhais, S. Schaphoff, W. von Bloh, M. Migliavacca, M. Thurner, K. Thonicke,
Identifying environmental controls on vegetation greeness phenology through model-
data integration. Biogeosci. 11, 7025–7050 (2014).
161. M. Forkel, M. Drüke, M. Thurner, W. Dorigo, S. Schaphoff, K. Thonicke, W. von Bloh,
N. Carvalhais, Constraining modelled global vegetation dynamics and carbon turnover
using multiple satellite observations. Sci. Rep. 9, 18757 (2019).
162. S. Fader, C. Rost, A. Müller, D. Bondeau, Gerten, virtual water content of temperate cereals
and maize: Present and potential future patterns. J. Hydrol. 384, 218–231 (2010).
163. V. Kattsov, R. Federation, C. Reason, S. Africa, A. A. Uk, T. A. Uk, J. Baehr, A. B. Uk, J. Catto,
J.