Content uploaded by Jonas Ø Nielsen
Author content
All content in this area was uploaded by Jonas Ø Nielsen on Apr 14, 2020
Content may be subject to copyright.
Content uploaded by Jean-Louis Martin
Author content
All content in this area was uploaded by Jean-Louis Martin on Apr 14, 2020
Content may be subject to copyright.
Received: 9 August 2019 Revised: 30 January 2020 Accepted: 8 February 2020
DOI: 10.1111/conl.12713
REVIEW
Biodiversity policy beyond economic growth
Iago Otero1,2 Katharine N. Farrell3,4 Salvador Pueyo5,6 Giorgos Kallis5,7, 8
Laura Kehoe9,10,11,12,13 Helmut Haberl1, 14 Christoph Plutzar14,15 Peter Hobson16
Jaime García-Márquez1,17 Beatriz Rodríguez-Labajos5,7,18 Jean-Louis Martin19
Karl-Heinz Erb14 Stefan Schindler20 Jonas Nielsen1,9 Teut a S kor in21
Josef Settele22,23,24 Franz Essl15 Erik Gómez-Baggethun25,26 Lluís Brotons27,28,29
Wolfgang Rabitsch30 François Schneider5,31 Guy Pe’er22,32,33
1Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Berlin, Germany
2Interdisciplinary Centre for Mountain Research, University of Lausanne, Lausanne, Switzerland
3Biology Program, Faculty of Natural Sciences, Universidad del Rosario, Bogotá, Colombia
4Berlin Workshop in Institutional Analysis of Social-Ecological Systems, Humboldt-Universität zu Berlin, Berlin, Germany
5Research & Degrowth, Barcelona, Spain
6Department of Evolutionary Biology, Ecology and Environmental Sciences, Universitat de Barcelona, Catalonia, Spain
7Institute of Environmental Science and Technology (ICTA), Autonomous University of Barcelona, Barcelona, Spain
8ICREA, Barcelona, Spain
9Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
10Biology Department, University of Victoria, Victoria, Canada
11Department of Forest & Conservation Sciences, University of British Columbia, Vancouver, Canada
12The Nature Conservancy, London, UK
13Oxford Martin School, University of Oxford, Oxford, UK
14Institute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, Austria
15Division of Conservation Biology, Vegetation Ecology and Landscape Ecology, Department of Botany and Biodiversity Research, University of Vienna,
Vienna, Austria
16Centre for Econics & Ecosystem Management, Writtle University College, Chelmsford, UK
17Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
18Energy and Resources Group, University of California Berkeley, Berkeley, United States
19Centre d’Écologie Fonctionnelle et Évolutive UMR 5175, CNRS–Université de Montpellier–Université Paul Valéry Montpellier–École Pratique des Hautes
Études, IRD, Montpellier, France
20Community Ecology and Conservation research group, Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
21Freelance biodiversity conservationist, Zagreb, Croatia
22German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
23UFZ - Helmholtz Centre for Environmental Research, Department of Community Ecology, Halle, Germany
24Institute of Biological Sciences, University of the Philippines Los Baños, College, Laguna, Philippines
25Department of International Environment and Development Studies (Noragric), Norwegian University of Life Sciences (NMBU), ˚
As, Norway
26Norwegian Institute for Nature Research (NINA), Oslo, Norway
27InForest Joint Research Unit (CTFC-CREAF), Solsona, Spain
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original
work is properly cited.
© 2020 The Authors. Conservation Letters published by Wiley Periodicals, Inc.
Conservation Letters. 2020;e12713. wileyonlinelibrary.com/journal/conl 1of18
https://doi.org/10.1111/conl.12713
2of18 OTERO ET AL.
28CREAF, Cerdanyola del Vallès, Spain
29CSIC, Cerdanyola del Vallès, Spain
30Environment Agency Austria, Vienna, Austria
31Research & Degrowth France, Cerbère, France
32UFZ - Helmholtz Centre for Environmental Research, Department of Ecosystem Services and Department of Environmental Economics, Leipzig, Germany
33University of Leipzig, Leipzig, Germany
Correspondence
Iago Otero, Centre interdisciplinaire de
recherche sur la montagne, Universitéde Lau-
sanne - Site de Sion, Ch. de l’Institut 18, 1967
Bramois, Switzerland.
Email: iago.otero@unil.ch
Funding information
Austrian Science Funds, Grant/AwardNum-
ber: P29130-G27; Seventh Framework
Programme, Grant/AwardNumbers: EU
BON/308454, ROBIN/283093; sDiv;Austrian
Academy of Sciences, Grant/Award Num-
ber: LUBIO; Spanish Ministry of Economy
and Competitiveness, Grant/Award Number:
MDM-2015-0552; Horizon 2020 Research and
Innovation Programme, Grant/Award Num-
bers: CLAMOR/797444, COUPLED/765408,
MAT_STOCKS/741950
Abstract
Increasing evidence—synthesized in this paper—shows that economic growth con-
tributes to biodiversity loss via greater resource consumption and higher emissions.
Nonetheless, a review of international biodiversity and sustainability policies shows
that the majority advocate economic growth. Since improvements in resource use effi-
ciency have so far not allowed for absolute global reductions in resource use and pollu-
tion, we question the support for economic growth in these policies, where inadequate
attention is paid to the question of how growth can be decoupled from biodiversity
loss. Drawing on the literature about alternatives to economic growth, we explore
this contradiction and suggest ways forward to halt global biodiversity decline. These
include policy proposals to move beyond the growth paradigm while enhancing over-
all prosperity, which can be implemented bycombining top-down and bottom-up gov-
ernance across scales. Finally, we call the attention of researchers and policy makers to
two immediate steps: acknowledge the conflict between economic growth and biodi-
versity conservation in future policies; and explore socioeconomic trajectories beyond
economic growth in the next generation of biodiversity scenarios.
KEYWORDS
biodiversity conservation, biodiversity loss, biodiversity policy, biodiversity scenarios, decoupling,
degrowth, economic growth, postgrowth, sustainability policy, transition
1INTRODUCTION
Conservation scientists have long stressed the need to pay
attention to the socioeconomic context of biodiversity loss if
effective policies are to be designed (Martin, Maris, & Sim-
berloff, 2016). Such a question becomes urgent in the face
of an unprecedented degradation of the biosphere, undermin-
ing human well-being and calling into question the standard
development model (IPBES, 2019a). As economic growth is
part and parcel of this development model (Escobar, 2015),
the exploration of its effects on biodiversity has the potential
to strengthen the diagnosis of biodiversity decline and support
the design of effective solutions.
The critical assessment of economic growth has recently
been directly linked to the debates around biodiversity con-
servation. Authors have highlighted the need to move away
from the global economy’s current foundation on economic
growth while discussing the role of conservation science in
the transition to a society focused instead on biodiversity and
well-being (Büscher et al., 2017; Martin et al., 2016; see also
Czech, Krausman, & Devers, 2000). However, why and how
a critical assessment of economic growth may improve biodi-
versity policies in an ambitious and yet realistic way remains
unexplored.
This paper aims to shed light on this crucial question.
To do so, we first synthesize available empirical evidence
on the relationships between economic growth and biodi-
versity, focusing on land-use change, climate change, and
invasive alien species. Second, we review the prospects for
decoupling economic growth from biodiversity loss. Third,
we review the position of 28 international biodiversity and
sustainability policy documents (produced under the auspices
of the United Nations between 1972 and 2016) about eco-
nomic growth and decoupling. Fourth, we sketch out policy
possibilities by presenting existing literature on alternatives to
economic growth and reviewing its relevance for biodiversity
conservation. Finally, we show how scenario development for
major policy instruments, such as the Convention on Biolog-
ical Diversity, could help directing national and international
priorities away from the growth imperative and toward the
enhancement of biodiversity and human well-being.
OTERO ET AL.3of18
FIGURE 1How economic growth contributes to biodiversity loss. Economic growth increases resource use and trade, which in turn impact
biodiversity via various mechanisms reviewed in the text (climate change, land-use change, and invasive species). Source: our own
2ECONOMIC GROWTH,
RESOURCE USE, AND
BIODIVERSITY LOSS
Increasing evidence shows that an expanding economy
degrades biodiversity. In this paper, biodiversity is understood
as the variability among living organisms and the ecolog-
ical complexes of which they are a part. This can include
variation in genetic, phenotypic, phylogenetic, and functional
attributes, as well as changes in abundance and distribution
over time and space, within and among species and ecosys-
tems (IPBES, 2019a, glossary). The connection between eco-
nomic growth and biodiversity loss can be explored by resort-
ing to correlations between gross domestic product (GDP),
resource use and the state of biodiversity (Figure 1). While
such correlations do not necessarily imply causality, the argu-
ments assembled below suggest that causal relations do exist.
Next, we show the relevance of our rationale for three well-
known mechanisms of biodiversity loss.
2.1 Land-use change
Global agricultural area has increased by ca. 70–80% dur-
ing the twentieth century, and agricultural production has
increased nearly sixfold as a result of land-use intensifica-
tion (Klein Goldewijk, Beusen, Doelman, & Stehfest, 2017;
Krausmann et al., 2013). This increasing—and increasingly
intense—use of land for agriculture has been attributed to
different drivers such as population, yield, and diet (Alexan-
der et al., 2015). The structure and evolution of the global
economy seem to play a key role though. Trends in global
agricultural land and in fertilizer and pesticide use correlate
with GDP since the 1960s (Tilman et al., 2001). Increases in
per-capita GDP also closely correlate with a higher demand
for animal protein (Tilman & Clark, 2014), which further
increases the demand for agricultural area (Alexander et al.,
2015; Kastner, Rivas, Koch, & Nonhebel, 2012).
GDP growth is also associated with an expansion of urban
areas and infrastructures (Seto, Güneralp, & Hutyra, 2012).
The total mass of global human-made material stocks (build-
ings, roads, etc.) grew in unison with global GDP over the last
century, replacing ecosystems at a massive scale (Krausmann
et al., 2017).
Agricultural expansion and the development of cities and
infrastructures threaten biodiversity through the encroach-
ment and fragmentation of habitats, both major causes of bio-
diversity loss across almost all terrestrial taxonomic groups
(Andrén, 1994; Didham, Ghazoul, Stork, & Davis, 1996; Fis-
cher & Lindenmayer, 2007; Krauss et al., 2010). Conventional
agricultural intensification—characterized by a shift to highly
mechanized, large-scale monocultures with high levels of
agrichemicals use—is often detrimental to biodiversity (New-
bold et al., 2015). These intensification processes can increase
the risk of soil erosion, degradation (Foucher et al., 2014;
IPBES, 2018a), and salinization (Foresight, 2011). They can
also reduce soil organic matter, disturb soil biota communi-
ties (Foucher et al., 2014; Postma-Blaauw, de Goede, Bloem,
Faber, & Brussaard, 2010), result in biotic homogenization,
become toxic to plants with cascading effects on ecosystems
(Yamaguchi & Blumwald, 2005), and threaten birds, mam-
mals, amphibians, and insects (Gibbs, Mackey, & Currie,
2009; Hof, Araújo, Jetz, & Rahbek, 2011; IPBES, 2017; Kerr
& Cihlar, 2004; Kleijn et al., 2009).
2.2 Climate change
Global economic and population growth have driven an
increase in anthropogenic greenhouse gas (GHG) emissions,
leading to unprecedented atmospheric concentrations that
have warmed the climate (IPCC, 2014). Global carbon diox-
ide and other GHG emissions increase with GDP, and there
is no empirical evidence for the assumption that they would
automatically start declining in absolute terms once a certain
threshold of GDP has been reached (Burke, Shahiduzzaman,
& Stern, 2015; Stern, 2017; for national-level decoupling, see
Section 3).
Shifts toward warmer climates are occurring at an unprece-
dented rate that may exceed the capacity of many species and
ecosystems to adapt, leading to changes in species ranges and
population sizes, and resulting in local extinctions (Burrows
et al., 2011; Hof et al., 2011; Wessely et al., 2017). Warmer
temperatures have affected the phenology and the distribution
of species from various taxonomic groups across the globe
4of18 OTERO ET AL.
(Cohen, Lajeunesse, & Rohr, 2018; Parmesan & Yohe, 2003;
Peñuelas & Filella, 2001; Root et al., 2003; Walther et al.,
2002). Breeding bird populations, for instance, have shown a
consistent response to climate change across the United States
and Europe since 1980, with an increasingly divergent fate
between species favored and disadvantaged by rising temper-
atures (Stephens et al., 2016). Between 2001 and 2008, Euro-
pean mountain plant communities experienced a decline in
cold-adapted species and an increase in warm-adapted ones,
as well as upward shifts in ranges (Gottfried et al., 2012;
Pauli et al., 2012). The northward shift of European bird
and butterfly communities observed between 1990 and 2008
was insufficient to track temperature changes (Devictor et al.,
2012).
In addition, climate change modifies habitats and enhances
the frequency and intensity of extreme events such as storms,
floods, extreme temperatures, and droughts (Maxwell, Fuller,
Brooks, & Watson, 2016). In fact, extreme events are con-
sidered to pose an even greater threat to biodiversity than
global warming, both in terrestrial and marine environments
(Garcia, Cabeza, Rahbek, & Araújo, 2014; Wernberg et al.,
2013). Moreover, changes in climate can undermine efforts
to conserve biodiversity: for instance, in Europe 58% of plant
and terrestrial vertebrate species are projected to lose suitable
climate conditions within existing protected areas by 2080
(Araújo, Alagador, Cabeza, Nogués-Bravo, & Thuiller, 2011).
Climate change could also cause abrupt system-level shifts
in several biomes on the earth (Lenton, 2013). Finally, the
effects of climate change are likely to act in synergy with
the effects of land-use change, especially as species’ disper-
sal and adaptation to changing conditions is hindered by habi-
tat loss and fragmentation (Sirami et al., 2017; Urban et al.,
2016).
2.3 Invasive alien species
Economic growth is intimately related to international trade
and the expansion of transport routes (Dittrich & Bringezu
2010; Schandl et al., 2017). In turn, international trade pro-
vides numerous opportunities for the transport of propag-
ules of alien species to new regions (Seebens et al., 2015).
Seebens et al. (2015) show that a strong increase in alien plant
species is expected in the next decades, especially for emerg-
ing economies in megadiverse regions.
The human-caused introduction and spread of species in
regions that were previously beyond the reach of natural
colonization has become a defining feature of global biodi-
versity loss (IPBES, 2019a). Alien species are the second
most common threat associated with the extinction of plants,
amphibians, reptiles, birds, and mammals (Bellard, Cassey,
& Blackburn, 2016). Impacts of alien species are particu-
larly pronounced on islands, where evolutionary naïve native
species often become exposed to novel predators, pathogens,
or strong competitors. Accordingly, 86% of documented his-
toric extinctions on islands are linked to biological invasions
(Bellard et al., 2016). An unprecedented intensity of human-
mediated species exchange is associated with contemporary
economic activities, leading to the homogenization of flora
and fauna (Capinha, Essl, Seebens, Moser, & Pereira, 2015;
Winter et al., 2009), redefining the classical boundaries of bio-
geography (Capinha et al., 2015), and presenting far-reaching
negative implications for native biota, ecosystem services,
and human well-being (Vilà & Hulme, 2017; Vilà et al.,
2010).
As the global economy grows, the increase in the numbers
of alien species does not show any sign of saturation (Seebens
et al., 2017). Thus, many new introductions and associated
negative impacts can be expected in the future (Seebens et al.,
2018).
3DECOUPLING ECONOMIC
GROWTH FROM BIODIVERSITY
LOSS?
In theory, increases in the efficiency of resource use could
enable economic growth while reducing environmental and
biodiversity impacts. This possibility is referred to as decou-
pling.Relative decoupling means that GDP grows faster than
resource use. It has been observed in the global aggregate
as well as in many countries over long (decadal) periods of
time for measures of aggregate use of resources (materials
and energy) and GHG emissions in the last century (Haberl
et al., 2019). Absolute decoupling means that resource use
declines in absolute terms while GDP grows; this requires that
resource efficiency (i.e., the ratio GDP/resource use) grows
faster than GDP. The literature has provided ample evidence
that sustained absolute decoupling has not occurred so far
(Alexander et al., 2015; Csereklyei & Stern, 2015; Kraus-
mann et al., 2013; Steinberger, Krausmann, Getzner, Schandl,
& West, 2013; Ward et al., 2016; Wiedmann et al., 2015; see
below for some nuances). These studies suggest that, under
current socioecological conditions, economies with higher
GDP tend to (i) consume more raw materials and energy,
(ii) occupy more productive land, and/or (iii) use it more
intensively.
With regard to raw materials, a panel analysis of 39 coun-
tries (1970–2005) found that a 1% growth in GDP per capita
implied a 0.8% growth in material use per capita (Steinberger
et al., 2013). Krausmann, Schandl, Eisenmenger, Giljum, and
Jackson (2017) found that global relative decoupling of mate-
rials from GDP ground to a halt around 2002; thereafter,
global material productivity (GDP/material use) deteriorated
due to growth in regions with resource-intensive production
such as China. The few cases of absolute decoupling they
OTERO ET AL.5of18
found were related to low GDP growth and to increased
import of material-intensive goods. Similarly, the domestic
material use of some countries in the Global North declined
in absolute terms while their economies grew (1990–2008),
but this was achieved by importing resource-intensive goods
from the Global South (Wiedmann et al., 2015). When all raw
materials associated with imported and exported goods are
considered, the material footprint of these countries increases
with GDP, although not at the same rate (Wiedmann et al.,
2015).
In the case of the human appropriation of net primary
production (HANPP), global data show a (strong) relative
decoupling. In the period 1910–2005, global GDP increased
much faster than global HANPP (17-fold vs. twofold) (Kraus-
mann et al., 2013). However, this was due to (i) land-use
intensification, which resulted in NPP increases and partly
compensated for growing harvest volumes, and (ii) most
non-land-use–based economic activity being reliant on fossil
energy and not biomass (Krausmann et al., 2013). As noted
above, both land-use intensification and fossil energy use (cli-
mate change) impact biodiversity, suggesting that this relative
decoupling can have considerable trade-offs for biodiversity
conservation.
Regarding CO2emissions, a steady increase is observed
at the global level for the period 1960–2018 (Global Carbon
Budget, 2018). An analysis of 189 countries for the period
1961–2010 found that a 1% increase in GDP was associated
with a 0.5–0.8% increase in CO2emissions (Burke et al.,
2015). In the period 2006–2016, the United States and EU28
had declining emissions in absolute terms despite continued
economic growth, in both territorial and consumption-based
terms (Global Carbon Budget 2018; see also Quéré et al.,
2019). These results indicate that absolute decoupling could
be possible. However, these declines are far slower than those
needed to meet the 1.5◦C Paris target (Hickel & Kallis, 2019).
In the case of biodiversity, an absolute decoupling between
economic growth and impacts occurred in Western Europe
and North America during the period 2000–2011, consider-
ing both production and consumption (Marques et al., 2019).
As these authors show, this decoupling was associated with a
reduction in consumption following the financial crisis, after
which biodiversity impacts increased again. At the global
level and in the same period, despite a reduction of biodiver-
sity impacts per unit of GDP, overall population and economic
growth resulted in increased total impacts (Marques et al.,
2019).
Some studies suggest that absolute decoupling could be
possible in the future under scenarios of dramatic reductions
in energy demand through highly efficient technologies and
structures (Grubler et al., 2018). Yet other studies argue that
absolute decoupling is unlikely to occur, specially at a fast
enough rate to ensure global sustainability (Hickel & Kallis,
2019; Jackson & Victor, 2019; Ward et al., 2016).
The possibility of absolute decoupling is implicitly
defended through reference to the environmental Kuznets
curve (EKC). The EKC applied to biodiversity predicts that
biodiversity damage first increases and then decreases with
rising per capita incomes, as higher levels of income bring
about demand for, and investment in, biodiversity conser-
vation (Dietz & Adger, 2003). Partial support for a biodi-
versity EKC has only been found for threatened bird and
mammal species in two multicountry analyses (McPherson &
Nieswiadomy, 2005; Naidoo & Adamowicz, 2001), as well
as for birds linked to some habitat types in a number of Cana-
dian provinces (Lantz & Martínez-Espiñeira, 2008). However,
several multicountry analyses found no evidence to support
an EKC effect for a range of terrestrial and aquatic biodiver-
sity proxies, even supporting a trend in the opposite direction
from that predicted by the EKC hypothesis (Clausen & York,
2008; Dietz & Adger, 2003; Gren, Campos, & Gustafsson,
2016; Majumder, Berrens, & Bohara, 2006; Mills & Waite,
2009).
In the United States, the existence of an EKC was not
supported for an integrated index of biodiversity risk (Tevie,
Grimsrud, & Berrens, 2011). In this country, avian biodi-
versity was found to follow an S-curve relationship, rather
than the U-curve of the EKC—that is, biodiversity initially
declines with economic growth, then improves over inter-
mediate growth, and ultimately declines at higher growth
(Strong, Tschirhart, & Finnoff, 2011). These observations
resonate with other studies carried out in the United States
indicating a close link between GDP growth and species
endangerment (Czech et al., 2005; Czech, Mills Busa, &
Brown, 2012), and with theoretical analyses arguing that
economic growth results in the competitive exclusion of non-
human beings (Czech, 2008). Given the evidence assem-
bled in this paper, such a close link is unlikely to be a
coincidence.
4ECONOMIC GROWTH AND
DECOUPLING IN INTERNATIONAL
SUSTAINABILITY AND
BIODIVERSITY POLICIES
Advocacy of economic growth is unequivocal in some of the
most influential policy documents on sustainability and biodi-
versity analyzed in this paper (see selection criteria in SM1).
The first major international declaration concerning sustain-
able development, the 1987 Brundtland report, called for
“internationally expansionary policies of growth” in indus-
trial countries and for “more rapid economic growth in both
industrial and developing countries”.1This commitment has
since been reiterated in all subsequent major sustainability
declarations and agreements (Gómez-Baggethun & Naredo,
6of18 OTERO ET AL.
2015). The Declaration of the UN Conference on Environ-
ment and Development held in Rio de Janeiro in 1992 advo-
cated “economic growth and sustainable development in all
countries, to better address the problems of environmental
degradation”2; the 2011 UN Environment Programme
(UNEP) report on the green economy stated that “the key
aim for a transition to a green economy is to enable eco-
nomic growth and investment while increasing environmental
quality”3; and the Rio 2012 declaration reaffirmed “the need
to achieve sustainable development by promoting sustained,
inclusive and equitable economic growth”.4The current UN
Sustainable Development Goals likewise call for “sustain-
able economic growth” and to “sustain per capita economic
growth”.5In keeping with this trend, the declaration of the
Cancun Conference of the Parties to the Convention on Bio-
logical Diversity (CBD) commits signatories to “promote sus-
tainable economic growth”.6
While advocating economic growth, key policy documents
on sustainability and biodiversity conservation acknowledge
the relevance of drivers of biodiversity loss that are strongly
related to economic growth according to the review presented
in Section 2 (Table S4 in the Supporting Information). Indeed,
their views on the relationship between economic growth and
biodiversity are mostly ambiguous, and very few of them
(six out of 28) explicitly recognize that growth is problem-
atic for biodiversity (Tables 1 and 2). More than half of
these documents (16) neglect the question of how a decou-
pling of economic growth from biodiversity loss might be
achieved. Among those that do address this question (12),
only seven accept that reducing the pressures of a growing
economy on biodiversity is challenging (Tables 1 and 2).
This is the case, for example, of the Global Biodiversity Out-
look 4, which explicitly recognizes that absolute decoupling
is unlikely given current patterns of consumption7. The other
documents that do address the question of decoupling either
have ambiguous positions or consider it to be unchallenging.
The latter is the case of the Cancun declaration, which lim-
its itself to listing several measures to reduce the biodiversity
impacts of economic growth, without recourse to a scientific
assessment of their success prospects within the current eco-
nomic system.
Other key biodiversity policies do not acknowledge the
problematic nature of economic growth at all when address-
ing drivers of biodiversity loss. For instance, the CBD Aichi
Targets for 2020 aimed to contain “the impacts of use of
natural resources well within safe ecological limits”,8with-
out addressing the systemic relationships between economic
growth and the critical global biodiversity pressures shown
to undermine progress toward the targets. These pressures
include ecological and water footprints, trawl fishing effort,
nitrogen surplus, and introduction of alien species (Tittensor
et al., 2014). This means that several Aichi targets (and future
similar targets) may be unachievable unless clear progress
is made in explicitly addressing the impacts of economic
growth.
In light of ample evidence showing that absolute decou-
pling is unlikely under current conditions, the unreflexive
growth emphasis of the biodiversity and sustainability poli-
cies seems to stand in the way of safeguarding biodiversity.
5BIODIVERSITY AND ECONOMIC
POLICIES BEYOND ECONOMIC
GROWTH: SOLUTIONS AND
CHALLENGES
Biodiversity policies reflect the shared assumption by policy-
makers that economic growth is needed to alleviate poverty
and to achieve prosperity (Table S4 in SM1). However, an
emerging literature explores whether and how it may be pos-
sible to find a “prosperous way down” and manage without
growth (D’Alisa, Demaria, & Kallis, 2014; Daly, 1991; Jack-
son, 2011; Odum & Odum, 2006; Victor, 2008). This litera-
ture has its origins in the Global North, where strategies for
alternative economies thrive on an intellectual and material
history that is far from that of the Global South. Yet anal-
ogous values—such as subsistence-living, balance between
all living beings, and reciprocity—favor a joint explo-
ration of alliances (Escobar, 2015; Rodríguez-Labajos et al.,
2019).
This literature—composed of different schools—argues
that policy-makers can design policies to control unsustain-
able expansion. Steady-state economics proposes legal lim-
its to throughput (the economy´s use of energy and mate-
rials), allowing the economy to develop qualitatively within
such limits (Daly, 1996; Dietz & O’Neill, 2013). Degrowth
scholars call for abolishing the pursuit of GDP growth and
highlight the potential of grassroots movements for facilitat-
ing the transition to a new economy (Kallis, 2011; Kallis
et al., 2018). Whereas the degrowth literature considers a
reduction of GDP inevitable if throughput is to decrease to
sustainable levels, the postgrowth literature prefers to ignore
GDP, which is deemed a bad indicator of welfare, and argues
for environmental and well-being policies, regardless of their
effects on GDP (Raworth, 2017; van den Bergh & Kallis,
2012).
Policy proposals from this literature can contribute to
reframing biodiversity and economic policies beyond the
economic growth imperative (Table S5 in SM2), even if
remarkable challenges are to be expected (Box 1). The
establishment—via multilevel governance—of absolute caps
on the amount of resources embedded in imported goods
and services is crucial (Alcott, 2010; Daly, 1991). Dif-
ferent caps could apply to different countries depending
on their past consumption and ecological or carbon debts
OTERO ET AL.7of18
TABLE 1 Policy analysis: How key international declarations and agreements on sustainability and biodiversity view the relationship between
economic growth and biodiversity, and how they view the prospects of decoupling economic growth from biodiversity loss
ABC
Document
View on the
relationship between
economic growth and
biodiversity
Is
decoupling
mentioned?
View on decoupling
economic growth
from biodiversity
loss
Policy documents on
sustainability
Declaration UN Conference on the Human
Environment Stockholm (1972)
Problematic Yes Challenging
UN Report of the World Commission on
Environment and Development (1987)
(Brundtland Report)
Ambiguous Yes Challenging
Declaration UN Conference on Environment and
Development Rio de Janeiro (1992)
Ambiguous No NA
Declaration UN World Summit on Sustainable
Development Johannesburg (2002)
Unproblematic Yes Unchallenging
Millennium Ecosystem Assessment (2005) Ambiguous Yes Challenging
Declaration UN Conference on Sustainable
Development Rio de Janeiro (2012) (Rio +20)
Problematic No NA
UN Sustainable Development Goals (2015) Ambiguous Yes Unchallenging
Policy documents on
biodiversity
Convention on Biological Diversity (1992) Ambiguous No NA
Report CBD COP 1 (1994) Ambiguous No NA
Report CBD COP 2 (1995) Problematic No NA
Report CBD COP 3 (1996) Ambiguous Yes Challenging
Report CBD COP 4 (1998) Ambiguous Yes Challenging
Report CBD COP 5 (2000) Ambiguous No NA
Cartagena Protocol on Biosafety to the CBD
(2000)
Unproblematic No NA
Report CBD COP 6 (2002) Problematic No NA
Report CBD COP 7 (2004) Unproblematic No NA
Report CBD COP 8 (2006) Ambiguous Yes Challenging
Report CBD COP 9 (2008) Ambiguous No NA
Report CBD COP 10 (2010) Ambiguous Yes Ambiguous
Strategic Plan 2011–2020 and Aichi Targets
CBD COP 10 (2010)
Unproblematic No NA
Nagoya - Kuala Lumpur Supplementary Protocol
to Cartagena Protocol (2011)
Ambiguous No NA
Nagoya Protocol on Access to Genetic Resources
to the CBD (2011)
Unproblematic No NA
Report CBD COP 11 (2012) Problematic Yes Ambiguous
Report CBD COP 12 (2014) Ambiguous No NA
Gangwon Declaration CBD COP 12 (2014) NA No NA
Global Biodiversity Outlook 4 (2014) Problematic Yes Challenging
Opening statement to CBD COP 13 (2016) NA No NA
Cancun Declaration CBD COP 13 (2016) Ambiguous Yes Unchallenging
Note: Column A. “Problematic”: Growth is explicitly presumed to have either a negative, or potentially negative, impact on biodiversity. “Unproblematic”: Growth
is explicitly presumed to have either no impact or a positive impact on biodiversity. “Ambiguous”: The position is either internally contradictory, sometimes seen as
problematic sometimes not, or too vague to be determined. “NA”: Not assessed. Column C. “Challenging”: Decoupling economic growth from biodiversitylossis
explicitly presumed to be complicated, difficult, or potentially impossible. “Unchallenging”: Decoupling economic growth from biodiversity loss is explicitly presumed
to be easy and/or automatic. “Ambiguous”: The position on decoupling is either internally contradictory, sometimes seen as problematic sometimes not, or too vague to
be determined. “NA”: The relationship was not assessed if the document did not mention decoupling. For methods and full results of the review of policy documents, see
SM1.
8of18 OTERO ET AL.
TABLE 2 Summary of results from policy analysis (Table 1)
A. View on the relationship between economic
growth and biodiversity
B. Is decoupling
mentioned?
C. View on decoupling economic growth from
biodiversity loss
Problematic
Unprobl-
ematic Ambiguous NA Yes No Challenging
Unchall-
enging Ambiguous NA
Policy documents on
sustainability (7)
2 1 4 0523 2 0 2
Policy documents on
biodiversity (21)
4 4 11 2 7 14 4 1 2 14
(Martinez-Alier, 2002). Caps could be complemented by spe-
cific moratoria on resource extraction in highly sensitive bio-
diverse regions—so-called “resource sanctuaries” (Videira,
Schneider, Sekulova, & Kallis, 2014)—and by limiting the
expansion of large infrastructures, which not only enhance
the extractive capacity of nations (Krausmann et al., 2017)
but also represent a direct threat to biodiversity (Ibisch et al.,
2016; Maxwell et al., 2016; Table S5 in SM2). The global
map of roadless areas is a cost-effective means for guiding
this endeavor, as it highlights the potential of, and the urgent
need for, protecting key biodiversity refugia from road expan-
sion (Ibisch et al., 2016).
When designing policies for a prosperous way down, one
core concern is what would happen to employment. Lack of
growth in growth-based economies increases unemployment
and causes instability. But high unemployment is not a nec-
essary outcome of an economic slowdown: 1% less growth
in Japan or Austria leads to only 0.15% more unemploy-
ment, compared to 0.85% in Spain (Ball, Leigh, & Loun-
gani, 2013). Employment policies matter. They can redirect
economic activities toward employment-rich sectors, such as
health and caring services (D’Alisa et al., 2014). Sharing work
by reducing working hours can increase the number of new
jobs even if productivity and growth stall (Kallis, Kalush,
O’Flynn, Rossiter, & Ashford, 2013). Under certain condi-
tions, shorter working time is linked to lower carbon emis-
sions and other environmental pressures harmful to biodi-
versity (Knight, Rosa, & Schor, 2013; Shao & Rodríguez-
Labajos, 2016). Biodiversity benefits from reducing work-
ing hours are therefore likely (Table S5 in SM2), even if
they may depend on complementary policies ensuring that
the time liberated from work will not be directed to resource-
intensive consumption (Kallis et al., 2013). Work sharing
schemes could be applied in combination with taxation linked
to resource use and environmental and biodiversity impacts.
Simulations suggest that with a high enough carbon tax,
Canada could reduce its carbon emissions by 80% in 2035;
while income would contract to the levels of 1976, employ-
ment would not decrease if working hours were to be reduced
to one fourth of their present level (Victor, 2012).
Another concern is that without economic growth inequal-
ity may rise. However, simulations suggest that there is no
necessary link between a slowing down of the economy and
rising inequality (Jackson & Victor, 2016). Redistributive
policies such as high taxes on high-income brackets, speci-
fied ratios for the spread between minimum and maximum
salaries, and capital or inheritance taxes can reduce inequal-
ity (Piketty, 2014). Without growth in GDP or population,
and with an ageing population, societies also face the problem
of covering pensions, health care, and education costs. How-
ever, the presence of quality health and education systems in
middle-income countries suggests that it is possible to secure
good public services at levels of GDP much lower than those
of today’s rich countries (Gough, 2017).
Relocalizing the economy (Latouche, 2009), namely short-
ening the distances between production and consumption, is
a degrowth principle important for biodiversity conservation,
even if local production does not always mean lower environ-
mental impacts (Theurl, Haberl, Erb, & Lindenthal, 2014).
Supporting local and regional agroecological management
practices that enhance the diversity and services of ecosys-
tems while ensuring food sovereignty could reduce biodiver-
sity pressures from food production (Altieri, 2004; Infante
Amate & González de Molina, 2013; Kovács-Hostyánszki
et al., 2017; Table S5 in SM2). While small-scale farming sys-
tems may be less productive in GDP terms, they are employ-
ment rich and often provide higher social value for local com-
munities (Jackson, 2011).
Compact urban planning could help limit the physical
expansion of cities (Wächter, 2013; Xue, 2014), reducing the
ongoing loss and fragmentation of periurban habitats. Peri-
urban croplands—saved from urbanization—could produce
food to feed city inhabitants, thus reducing the displacement
of agricultural land-use change to remote biodiverse regions
(Marques et al., 2019; Table S5 in SM2). Top-down national
land-use planning must enforce limits to urban expansion.
However, bottom-up planning schemes are also needed that
take into account the regional context, where stakeholders can
redesign housing arrangements to solve housing needs while
restoring ecosystems (Lietaert, 2010). Finally, labeling based
on a product’s full biodiversity footprint along international
trade routes has the potential to mitigate the impacts of
consumption (Lenzen et al., 2012). Together with govern-
mental control of advertisement and the use of public media
OTERO ET AL.9of18
BOX 1. CHALLENGES OF IMPLEMENTING
BIODIVERSITY POLICIES BEYOND ECO-
NOMIC GROWTH. SOURCE: OUR OWN
Measures such as a reduction of working hours and
resource caps may benefit biodiversity, but their
implementation faces several challenges. Social and
cultural barriers are to be expected since voluntary
simplicity goes against the prevalent imaginary of
unlimited growth. However, evidence suggests that
the desire for more personal time, environmental
and ethical factors, and health reasons motivate peo-
ple to seek a simpler life, mostly by working less
(Alexander & Ussher, 2012). The greatest obstacle
for this is the structural incentive to overwork. More-
over, modern societies require material growth in
order to preserve the socioeconomic and political sta-
tus quo (Rosa, Dörre, & Lessenich, 2017). There-
fore, calls to go beyond economic growth in bio-
diversity policies will also find political and legal
barriers. By questioning the assumption that eco-
nomic growth is necessary to ensure prosperity, such
calls aim at “repoliticizing” the sustainability debate
(Asara, Otero, Demaria, & Corbera, 2015). The polit-
ical confrontation between alternative societal mod-
els can be an opportunity to expand the solutions
space for biodiversity conservation. Whether alter-
native ideas will permeate national and international
legal frameworks influencing the planet’s biodiver-
sity will ultimately depend on the ability of politi-
cal actors to forge new consensus beyond economic
growth. Finally, corporate barriers should not be
neglected. Industries tend to endorse policy initia-
tives that secure growing access to resources from
global markets, thus against the rationale of resource
caps. The European Union’s Raw Materials Initia-
tive is a good example of this (European Commis-
sion, 2019). Furthermore, revenue is a basic driver
of corporate profit. Faced with societal and political
decisions for reduced resource use, companies may
generate signals that act as disincentives for further
resource savings. For instance, when domestic water
usage in Barcelona dropped to less than 120 liters
per person per day by 2008 (Tello & Ostos, 2012),
the average billing increased by 60% in the following
5 years. The private company in charge of domestic
water supply provided economic viability reasons to
justify the fee increases (Cordero, 2013).
to provide information on the impacts of products, labeling
could contribute to more biodiversity-friendly consumption
(TableS5inSM2).
Many of these proposed policies have not yet been widely
tried nor analyzed, so it is uncertain that they would have the
posited effects. The systematic investigation of their prospects
constitutes fertile ground for future research.
6FOSTERING THE TRANSITION
THROUGH SCENARIO
DEVELOPMENT
A range of feasible actions at multiple scales could put
humanity on a biodiversity-friendly pathway while enhanc-
ing overall prosperity (Table S5 in SM2). To support this
transition, we recommend that in the negotiations of the next
CBD COPs and in future assessments of the Intergovernmen-
tal Science-Policy Platform on Biodiversity and Ecosystem
Services (IPBES), endorsement of economic growth is
replaced by at least a precautionary recognition that it can
be problematic for biodiversity. A significant step in this
direction has been made in the IPBES Global Assessment
Report, by acknowledging the need to move away from the
current growth paradigm (IPBES 2019b, p. 19).
At the same time, both CBD and IPBES could act as lab-
oratories where alternative policies are designed, tested, and
evaluated through enhanced cooperation between countries,
the private sector, and the civil society. Scenario development
can play a critical role in this endeavor. Participatory scenario
development is suited to overcome the societal addiction to
growth as it allows exploring policy options toward a positive
vision of a shared future and the commitments necessary
to get there (Costanza et al., 2017). Up to now, biodiversity
scenarios take growth forecasts as given and search for
policy options that can reduce biodiversity loss while the
economy grows. Inspired by van den Bergh (2017), we
propose here a different approach: first set tight biodiversity
targets and then examine how different economic scenarios
and conservation policies could accomplish them. This might
involve positive, zero, or negative growth. There is no reason
to restrict biodiversity policies only to those compatible with
positive economic (GDP) growth, as GDP is far from a robust
indicator of social welfare (van den Bergh, 2009). Chapter
5 of the IPBES Global Assessment is a good example of the
direction this could take (Chan et al., 2019).
The biodiversity scenarios currently under development
within IPBES use the shared socioeconomic pathways
(SSP) as a basis (Rosa et al., 2017). SSP are descriptions of
alternative societal trajectories in demographic, economic,
technological, governance, and environmental factors, which
serve as inputs to models of climate and other environ-
mental changes (O’Neill et al., 2017). Up to now, all SSPs
10 of 18 OTERO ET AL.
FIGURE 2Opening up scenario development for biodiversity
conservation. SSPs are descriptions of alternative societal trajectories
which are used in scenario development for biodiversity. Here,
currently available SSPs (SSP1 to SSP5) are displayed according to
their envisaged economic growth rates (in GDP terms) and biodiversity
conservation levels (adapted from O’Neill et al., 2017; see this
reference for a description of SSPs). Up to now, all SSPs consider
positive economic growth rates, and no pathway is included whereby
high levels of biodiversity conservation can be achieved with low or
negative economic growth. To explore this opportunity space (wider
circle in Yaxis), we propose to add a new SSP called “beyond
economic growth” (see Box 2)
consider positive economic growth rates, and no pathway is
included whereby high levels of social and environmental
sustainability can be achieved with low growth (O’Neill et al.,
2017). Based on these authors, Figure 2 situates the available
SSPs in the bidimensional space “biodiversity conservation”
vs. “economic growth” (SSP1 to SSP5). We propose to add a
new SSP to examine low, zero, and negative growth pathways
compatible with ambitious biodiversity targets and enhanced
well-being (SSP0). This effort could build on already existing
scenarios such as the “Great Transition”, which assumes
that GDP flattens while well-being and ecosystem services
increase (Great Transition Initiative, 2019; Kubiszewski,
Costanza, Anderson, & Sutton, 2017). Box 2 synthesizes our
vision for the SSP0.
The use of SSP0 in the IPBES Expert Group on Scenar-
ios and Models could strengthen the discussion on biodiver-
sity policy options. The participatory construction of visions
for nature already undertaken by this group echoes calls
to replace the pursuit of GDP growth with new well-being
paradigms (Lundquist, Pereira, Alkemade, & den Belder,
2017, p. 21). Yet low, zero, and negative growth pathways
have not yet been used in new modeling efforts (Kim et al.,
2018), although interest in doing so has been expressed in
some regional assessments (IPBES, 2018b).
BOX 2. A NARRATIVE FOR SSP0.
SOURCE: OUR OWN
The collective awareness of the human embedded-
ness in the Earth’s life network reaches a tipping
point. This is triggered by an accumulation of evi-
dence on the social and ecological costs of our devel-
opment trajectory, as well as by an active inner
seeking of genuine well-being by individuals and
countries throughout the world. As a result, human-
ity initiates a transition to a smaller global econ-
omy in material and energetic terms that is able to
redistribute wealth and provide enhanced prosper-
ity. The current emphasis on achieving resource effi-
ciency is complemented by the recognition of the
need to reduce the overall amount of materials and
energy used by the economy. Investment in tech-
nology is directed toward liberating time for intro-
spection and learning, not to fuel production and
consumption. The demographic transition is accel-
erated by educational and health investments, curv-
ing global population growth. Changing social pri-
orities substitute the consensus around the need for
GDP growth for a set of sustainable well-being indi-
cators, which is adopted by the international com-
munity (e.g., in relation to the sustainable devel-
opment goals). Overall, these changes open up the
range of potential biodiversity policies, as these are
not constrained anymore to only those compatible
with positive GDP growth rates (Figure 2). Scenario
development within international biodiversity poli-
cies thus explores a broader range of institutional
and economic reforms that could accomplish ambi-
tious biodiversity and well-being targets. By acting
as laboratories of new policies, they help to ease the
resistance of vested interests against such a transi-
tion. New policies include resource caps, resource
sanctuaries, limits to large infrastructures, redistribu-
tive green taxation, work reduction schemes, agroe-
cological development, compact urban planning and
restrictions to advertising. Time liberated from pro-
duction and consumption of resource intensive prod-
ucts is invested in meditation and self-awareness.
This shift improves overall health levels and deep-
ens the collective awareness of oneness between
humans and nature, leading to a positive feed-
back between human development and ecosystem
flourishing.
OTERO ET AL.11 of 18
1950 1954 1958 1962 1966 1970 1974 1978 1982 1986 1990 1994 1998 2002
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
GDP pc GPI pc
1840 1860 1880 1900 19 20 1940 1960 1980 2000 2020
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
GDP (2012 US$, billions)
(a) (b)
(c)
FIGURE 3(a) U.S. genuine progress indicator (GPI) and gross domestic product (GDP) per capita, in 2000 U.S.$ (yearly data for 1950–2004).
Source: Talberth, Cobb, and Slattery (2007), U.S. Bureau of Economic Analysis (2005), and United Nations (n.d.). (b) U.S. GDP, in billions of 2012
U.S.$ (decennial data for 1850–1920, yearly data for 1929–2018). Source: Barro and Ursúa (2010), United Nations (n.d.), U.S. Bureau of Economic
Analysis (2019), and U.S. Census Bureau (1990). (c) Mean species abundance in the U.S. Historical trend (data for years 1850, 1900, 1910, 1940,
1980, and 2015) and projections (2050) for different SSP. Source: Data on historical trend and projections for SSP1, SSP3, and SSP5 were provided
by J.P. Hilbers, R. Alkemade, and A.M. Schipper. The value for SSP0 is our speculation (see Section 6 for details on SSP0). See SM3 for details on
figures’ sources and methods.
In this endeavor, the use of an integrated set of metrics
composed of economic measures, social indicators, biophys-
ical indicators (including biodiversity), subjective measures
of well-being, and composite measures of several indicators
(Costanza et al., 2014, 2016; O’Neill, 2012; O’Neill, Fan-
ning, Lamb, & Steinberger, 2018; Czech et al., 2005) would
encourage a better understanding of the relationships between
economic activity, social well-being, and biodiversity. The
fear that achieving ambitious conservation targets is likely to
diminish GDP could be calmed by visualizing stable or even
positive trends in more robust measures of well-being such
as the genuine progress indicator (GPI) (Kubiszewski et al.,
2013; Talberth & Weisdorf 2017; see Figure 3; Box 3). In
addition, it would be important to account for ecosystems’
positive contributions to well-being in new metrics where sus-
tainable and equitable prosperity is the explicit goal (Costanza
et al., 2016). The global transdisciplinary research effort on
nature’s contributions to people (Díaz et al., 2018) offers a
valuable resource for advancing this work. While changing
modeling paradigms is not changing policy, adding an SSP0
to current scenario analyses could contribute to overcome the
growth dependency of countries and help them shift their
political economic priorities toward better biodiversity and
well-being policies.
12 of 18 OTERO ET AL.
BOX 3. A SHIFT IN BIODIVERSITY SCE-
NARIO DEVELOPMENT IN POLICY FORU
MS. SOURCE: OUR OWN, WITH DATA MEN-
TIONED IN THE TEXT
Whereas U.S. GDP per capita experienced an almost
continuous upward trend since 1950, GPI per capita
increased steadily until about 1978 and flattened
out (Talberth, Cobb, & Slattery, 2007; Kubiszewski
et al., 2013; Figure 3a). Economic growth seems
to bring about an improvement in social well-being
but only up to a certain threshold. Instead, there
is no “threshold” for biodiversity degradation. The
number of threatened and endangered species has
increased sharply since the 1970s (Czech et al.,
2005) and the mean species abundance has contin-
uously declined over the period 1850–2015 along-
side a growing economy (Figures 3b and 3c). The
evidence presented in this paper suggests a strong
connection between endless growth and biodiver-
sity loss. Moreover, the growing economy is reduc-
ing ecosystem’s contribution to well-being (Costanza
et al., 2016; Kubiszewski et al., 2013). Projections for
MSA in 2050 using currently available SSPs show
that, at best, we could keep biodiversity degradation
at levels similar to those of 2015 (SSP1, Figure 3c).
SSP1 is a green growth scenario that relies either on
negative emissions technologies—unproven and dan-
gerous at scale—or unfeasible decarbonisation rates
(Doelman et al., 2018; Hickel & Kallis, 2019). An
alternative option to SSP1 is to first set biodiver-
sity targets and then examine which combinations
of economic growth and conservation policies could
accomplish them. If, for example, by 2050 we were
to recover MSA to 1940 levels (73%; SSP0 in Fig-
ure 3c), what GDP growth rate would be consis-
tent with such target? What could be the combined
contribution of conservation policies like resource
caps, land-use regulations, and agroecological devel-
opment schemes? How would GPI and other mea-
sures of well-being react to redistributive green tax-
ation, work-sharing programs, and a recovery of
ecosystems?
7CONCLUSION
Economic growth and biodiversity loss are linked via a set
of mechanisms triggered by increased resource use. While
absolute decoupling remains a theoretical possibility, it has
not occurred so far and seems unlikely to occur in the near
future in the absence of major transformations in the eco-
nomic system. By contrast, global biodiversity and sustain-
ability policies generally advocate economic growth and have
ambiguous positions regarding its effects on biodiversity. This
reflects the widespread assumption that growth is needed
to secure prosperity, despite increasing evidence that, under
certain conditions, high levels of social well-being may be
achievable without—or beyond—growth. Scenario develop-
ment can play a critical role in shifting away from the cur-
rent development model, whereby positive visions of a shared
future are collectively designed. In particular, we propose that
a new SSP is introduced that examines low, zero, or negative
growth pathways compatible with ambitious biodiversity and
well-being targets. Using this SSP0 within IPBES—which
will advise the CBD during the adoption and implementation
of a post-2020 framework for biodiversity—has the potential
to open up the range of policy options beyond mere projec-
tions of the status quo. The discussion on crucial aspects of
this framework—new targets and indicators, mainstreaming
of biodiversity across all economic sectors and transformative
change—can benefit from both the evidence and the alterna-
tive scenarios presented in this paper.
ENDNOTES
1Report of the World Commission on Environment and Development.
Our Common Future. United Nations, 1987 (articles 24 and 72, chapter
3 “The Role of the International Economy”).
2The Rio Declaration on Environment and Development. United Nations
Conference on Environment and Development, 1992 (principle 12).
3Towards a Green Economy: Pathways to Sustainable Development and
Poverty Eradication. Nairobi: United Nations Environment Program,
2011 (p. 16). This document is not included in our policy review (see
SM1).
4Resolution adopted by the General Assembly on 27 July 2012.United
Nations, A/RES/66/288 (p. 2).
5Resolution adopted by the General Assembly on 25 September 2015.
United Nations, A/RES/70/1 (goal 8).
6Cancun Declaration on Mainstreaming the Conservation and Sustain-
able Use of Biodiversity for Well-Being. Cancun, Mexico: 13th meeting
of the Conference of the Parties to the Convention on Biological Diver-
sity, 2016 (declaration 4 and commitment 7).
7Global Biodiversity Outlook 4. Montréal: Secretariat of the Convention
on Biological Diversity, 2014 (pp. 12 and 45).
8Decision adopted by the Conference of the Parties to the Convention
on Biological Diversity at its Tenth Meeting. Convention on Biological
Diversity, 2010, UNEP/CBD/COP/DEC/X/2 (target 4).
ACKNOWLEDGMENTS
This paper emerges from a workshop on degrowth and bio-
diversity conservation that took place at the 27th ICCB
and 4th ECCB in Montpellier, France (August 2015). G.K.
acknowledges support under the “María de Maeztu” Unit
of Excellence grant (MDM-2015-0552) from the Spanish
OTERO ET AL.13 of 18
Ministry of Economy and Competitiveness. C.P., K.-H.E., and
H.H. gratefully acknowledge funding by the Austrian Sci-
ence Funds (P29130-G27), by the EU FP7 (ROBIN, 283093),
and by the Austrian Academy of Sciences (LUBIO). H.H.
gratefully acknowledges funding from the European Research
Council under the EU’s H2020 Research and Innovation Pro-
gramme (MAT_STOCKS, 741950). S.P. is grateful to Cen-
tre de Recerca Matemàtica for its hospitality. B.R.-L. grate-
fully acknowledges funding and support from the EU’s H2020
Research and Innovation Programme (CLAMOR, 797444;
COUPLED, 765408). G.P. was funded by the FP7 project EU
BON (308454) and is currently funded by sDiv. We thank
I. Kubiszewski for providing the GPI data, as well as J.P.
Hilbers, R. Alkemade and A.M. Schipper for the MSA data.
The advices of B. Czech and R. Costanza are also appreciated.
We are grateful to the in-depth comments from three anony-
mous reviewers and the editors.
REFERENCES
Alcott, B. (2010). Impact caps: Why population, affluence and technol-
ogy strategies should be abandoned. Journal of Cleaner Production,
18(6), 552–560.
Alexander, P., Rounsevell, M. D. A., Dislich, C., Dodson, J. R.,
Engström, K., & Moran, D. (2015). Drivers for global agricultural
land use change: The nexus of diet, population, yield and bioen-
ergy. Global Environmental Change,35, 138–147. https://doi.org/10.
1016/j.gloenvcha.2015.08.011
Alexander, S., & Ussher, S. (2012). The voluntary simplicity move-
ment: A multi-national survey analysis in theoretical context. Jour-
nal of Consumer Culture,12(1), 66–86. https://doi.org/10.1177/
1469540512444019
Altieri, M. A. (2004). Linking ecologists and traditional farmers in
the search for sustainable agriculture. Frontiers in Ecology and the
Environment,2(1), 35–42. https://doi.org/10.1890/1540-9295(2004)
002[0035:LEATFI]2.0.CO;2
Andrén, H. (1994). Effects of habitat fragmentation on birds and
mammals in landscapes with different proportions of suitable
habitat: A review. Oikos,71(3), 355–366. https://doi.org/10.2307/
3545823
Araújo, M. B., Alagador, D., Cabeza, M., Nogués-Bravo, D., & Thuiller,
W. (2011). Climate change threatens European conservation areas.
Ecology Letters,14(5), 484–492. https://doi.org/10.1111/j.1461-
0248.2011.01610.x
Asara, V., Otero, I., Demaria, F., & Corbera, E. (2015). Socially sus-
tainable degrowth as a social–ecological transformation: Repoliti-
cizing sustainability. Sustainability Science,10(3), 375–384. https:
//doi.org/10.1007/s11625-015-0321-9
Ball, L. M., Leigh, D., & Loungani, P. (2013). Okun’s law: Fit at fifty?
National Bureau of Economic Research, Working Paper no. 18668.
Barro, R. J., & Ursúa, J. F. (2010). Barro-Ursúa macroeconomic data.
Retrieved from http://scholar.harvard.edu/barro/publications/barro-
ursua-macroeconomic-data.
Bellard, C., Cassey, P., & Blackburn, T. M. (2016). Alien species as a
driver of recent extinctions. Biology Letters,12(2), 20150623. https:
//doi.org/10.1098/rsbl.2015.0623
Burke, P. J., Shahiduzzaman, M., & Stern, D. I. (2015). Carbon dioxide
emissions in the short run: The rate and sources of economic growth
matter. Global Environmental Change,33(Supplement C), 109–121.
https://doi.org/10.1016/j.gloenvcha.2015.04.012
Burrows, M. T., Schoeman, D. S., Buckley, L. B., Moore, P., Poloczan-
ska, E. S., Brander, K. M., …Richardson, A. J. (2011). The pace
of shifting climate in marine and terrestrial ecosystems. Science,
334(6056), 652–655. https://doi.org/10.1126/science.1210288
Büscher, B., Fletcher, R., Brockington, D., Sandbrook, C., Adams,
W. M., Campbell, L., …Shanker, K. (2017). Half-earth or
whole earth? Radical ideas for conservation, and their implica-
tions. Oryx,51(3), 407–410. https://doi.org/10.1017/S003060531
6001228
Capinha, C., Essl, F., Seebens, H., Moser, D., & Pereira, H. M. (2015).
The dispersal of alien species redefines biogeography in the anthro-
pocene. Science,348(6240), 1248–1251. https://doi.org/10.1126/
science.aaa8913
Chan, K. M. A., Agard, J., Liu, J., de Aguiar, A. P. D., Armenteras,
D., Boedhihartono, A. K., …Xue, D. (2019). Pathways towards
a sustainable future. In E. S. Brondizio, J. Settele, S. Díaz, &
H. T. Ngo (Eds.), Global assessment report on biodiversity and
ecosystem services of the Intergovernmental Science-Policy Plat-
form on Biodiversity and Ecosystem Services. Bonn, Germany:
IPBES Secretariat.
Clausen, R., & York, R. (2008). Global biodiversity decline of marine
and freshwater fish: A cross-national analysis of economic, demo-
graphic, and ecological influences. Social Science Research,37(4),
1310–1320. https://doi.org/10.1016/j.ssresearch.2007.10.002
Cohen, J. M., Lajeunesse, M. J., & Rohr, J. R. (2018). A global synthesis
of animal phenological responses to climate change. Nature Climate
Change,8(3), 224–228. https://doi.org/10.1038/s41558-018-0067-3
Cordero, D. (2013. December 8). El consumo de agua cae un 18% en la
última década en Barcelona. El País. Retrieved from https://elpais.
com/ccaa/2013/12/08/catalunya/1386531382_205471.html
Costanza, R., Atkins, P. W. B., Bolton, M., Cork, S., Grigg, N. J., Kasser,
T., & Kubiszewski, I. (2017). Overcoming societal addictions: What
can we learn from individual therapies? Ecological Economics,131,
543–550. https://doi.org/10.1016/j.ecolecon.2016.09.023
Costanza, R., Daly, L., Fioramonti, L., Giovannini, E., Kubiszewski, I.,
Mortensen, L. F., …Wilkinson, R. (2016). Modelling and measuring
sustainable wellbeing in connection with the UN sustainable devel-
opment goals. Ecological Economics,130, 350–355. https://doi.org/
10.1016/j.ecolecon.2016.07.009
Costanza, R., Kubiszewski, I., Giovannini, E., Lovins, H., McGlade, J.,
Pickett, K. E., …Wilkinson, R. (2014). Development: Time to leave
GDP behind. Nature News,505(7483), 283. https://doi.org/10.1038/
505283a
Csereklyei, Z., & Stern, D. I. (2015). Global energy use: Decoupling
or convergence? Energy Economics,51, 633–641. https://doi.org/10.
1016/j.eneco.2015.08.029
Czech, B. (2008). Prospects for reconciling the conflict between eco-
nomic growth and biodiversity conservation with technological
progress. Conservation Biology,22(6), 1389–1398. https://doi.org/
10.1111/j.1523-1739.2008.01089.x
Czech, B., Krausman, P. R., & Devers, P. K. (2000). Economic asso-
ciations among causes of species endangerment in the United
States. BioScience,50(7), 593–601. https://doi.org/10.1641/0006-
3568(2000)050[0593:EAACOS]2.0.CO;2
Czech, B., Mills Busa, J. H., & Brown, R. M. (2012). Effects of eco-
nomic growth on biodiversity in the United States. Natural Resources
14 of 18 OTERO ET AL.
For um ,36(3), 160–166. https://doi.org/10.1111/j.1477-8947.2012.
01455.x
Czech, B., Trauger, D. L., Farley, J., Costanza, R., Daly, H. E., Hall,
C. A. S., …Krausman, P. R. (2005). Establishing indicators for
biodiversity. Science,308(5723), 791–792.
D’Alisa, G., Demaria, F., & Kallis, G. (2014). Degrowth. A vocabulary
for a new era. New York, NY: Routledge.
Daly, H. E. (1991). Steady-state economics (2nd ed.). Washington, DC:
Island Press.
Daly, H. E. (1996). Beyond growth: The economics of sustainable devel-
opment. Boston, MA: Beacon Press.
Devictor, V., van Swaay, C., Brereton, T., Brotons, L., Chamberlain, D.,
Heliölä, J., …Jiguet, F. (2012). Differences in the climatic debts of
birds and butterflies at a continental scale. Nature Climate Change,
2(2), 121–124. https://doi.org/10.1038/nclimate1347
Díaz, S., Pascual, U., Stenseke, M., Martín-López, B., Watson, R. T.,
Molnár, Z., …Shirayama, Y. (2018). Assessing nature’s contri-
butions to people. Science,359(6373), 270–272. https://doi.org/10.
1126/science.aap8826
Didham, R. K., Ghazoul, J., Stork, N. E., & Davis, A. J. (1996). Insects
in fragmented forests: A functional approach. Trends in Ecology
& Evolution,11(6), 255–260. https://doi.org/10.1016/0169-5347(96)
20047-3
Dietz, R., & O’Neill, D. W. (2013). Enough is enough: Building a sus-
tainable economy in a world of finite resources. Routledge.
Dietz, S., & Adger, W. N. (2003). Economic growth, biodiversity loss and
conservation effort. Journal of Environmental Management,68(1),
23–35. https://doi.org/10.1016/S0301-4797(02)00231-1
Dittrich, M., & Bringezu, S. (2010). The physical dimension of inter-
national trade: Part 1: Direct global flows between 1962 and 2005.
Ecological Economics,69(9), 1838–1847. https://doi.org/10.1016/j.
ecolecon.2010.04.023
Doelman, J. C., Stehfest, E., Tabeau, A., van Meijl, H., Lassaletta, L.,
Gernaat,D.E.H.J.,…van Vuuren, D. P. (2018). Exploring SSP
land-use dynamics using the IMAGE model: Regional and gridded
scenarios of land-use change and land-based climate change mitiga-
tion. Global Environmental Change,48, 119–135. https://doi.org/10.
1016/j.gloenvcha.2017.11.014
Escobar, A. (2015). Degrowth, postdevelopment, and transitions: A
preliminary conversation. Sustainability Science,10(3), 451–462.
https://doi.org/10.1007/s11625-015-0297-5
European Commission (2019). Policy and strategy for raw materials.
Retrieved from https://ec.europa.eu/growth/sectors/raw-materials/
policy-strategy_en
Fischer, J., & Lindenmayer, D. B. (2007). Landscape modification and
habitat fragmentation: A synthesis. Global Ecology and Biogeog-
raphy,16(3), 265–280. https://doi.org/10.1111/j.1466-8238.2007.
00287.x
Foresight (2011). The future of food and farming. The Government
Office for Science. Retrieved from https://www.gov.uk/government/
publications/future-of-food-and-farming
Foucher, A., Salvador-Blanes, S., Evrard, O., Simonneau, A., Chapron,
E., Courp, T., …Desmet, M. (2014). Increase in soil erosion after
agricultural intensification: Evidence from a lowland basin in France.
Anthropocene,7, 30–41. https://doi.org/10.1016/j.ancene.2015.02.
001
Garcia, R. A., Cabeza, M., Rahbek, C., & Araújo, M. B. (2014). Multi-
ple dimensions of climate change and their implications for biodiver-
sity. Science,344(6183), 1247579. https://doi.org/10.1126/science.
1247579
Gibbs, K. E., Mackey, R. L., & Currie, D. J. (2009). Human land use,
agriculture, pesticides and losses of imperiled species. Diversity and
Distributions,15(2), 242–253. https://doi.org/10.1111/j.1472-4642.
2008.00543.x
Global Carbon Budget (2018). Global carbon project.Retrievedfrom
https://www.globalcarbonproject.org/carbonbudget/
Gómez-Baggethun, E., & Naredo, J. M. (2015). In search of lost time:
The rise and fall of limits to growth in international sustainability pol-
icy. Sustainability Science,10(3), 385–395. https://doi.org/10.1007/
s11625-015-0308-6
Gottfried, M., Pauli, H., Futschik, A., Akhalkatsi, M., Barančok, P.,
Alonso, J. L. B., …Grabherr, G. (2012). Continent-wide response
of mountain vegetation to climate change. Nature Climate Change,
2(2), 111–115. https://doi.org/10.1038/nclimate1329
Gough, I. (2017). Heat, greed and human need: Climate change, capi-
talism and sustainable wellbeing. Edward Elgar Publishing.
Great Transition Initiative (2019). Global scenarios.Retrievedfrom
https://greattransition.org/explore/scenarios
Gren, I.-M., Campos, M., & Gustafsson, L. (2016). Economic develop-
ment, institutions, and biodiversity loss at the global scale. Regional
Environmental Change,16(2), 445–457. https://doi.org/10.1007/
s10113-015-0754-9
Grubler, A., Wilson, C., Bento, N., Boza-Kiss, B., Krey, V., McCollum,
D. L., …Valin, H. (2018). A low energy demand scenario for meeting
the 1.5◦C target and sustainable development goals without negative
emission technologies. Nature Energy,3(6), 515. https://doi.org/10.
1038/s41560-018-0172-6
Haberl, H., Wiedenhofer, D., Pauliuk, S., Krausmann, F., Müller, D.
B., & Fischer-Kowalski, M. (2019). Contributions of sociometabolic
research to sustainability science. Nature Sustainability,2(3), 173.
https://doi.org/10.1038/s41893-019-0225-2
Hickel, J., & Kallis, G. (2019). Is green growth possible? New Political
Economy. https://doi.org/10.1080/13563467.2019.1598964.
Hof, C., Araújo, M. B., Jetz, W., & Rahbek, C. (2011). Additive threats
from pathogens, climate and land-use change for global amphib-
ian diversity. Nature,480(7378), 516–519. https://doi.org/10.1038/
nature10650
Ibisch,P.L.,Hoffmann,M.T.,Kreft,S.,Pe’er,G.,Kati,V.,Biber-
Freudenberger, L., …Selva, N. (2016). A global map of roadless
areas and their conservation status. Science,354(6318), 1423–1427.
https://doi.org/10.1126/science.aaf7166
Infante Amate, J., & González de Molina, M. (2013). ‘Sustainable de-
growth’ in agriculture and food: An agro-ecological perspective on
Spain’s agri-food system (year 2000). Journal of Cleaner Production,
38, 27–35. https://doi.org/10.1016/j.jclepro.2011.03.018
IPBES (2017). The assessment report of the Intergovernmental Science-
Policy Platform on Biodiversity and Ecosystem Services on pollina-
tors, pollination and food production.S.G.Potts,V.L.Imperatriz-
Fonseca, & H. T. Ngo (Eds.). Bonn, Germany: Secretariat of
the Intergovernmental Science-Policy Platform on Biodiversity and
Ecosystem Services.
IPBES (2018a). The IPBES assessment report on land degradation and
restoration. L. Montanarella, R. Scholes, & A. Brainich (Eds.). Bonn,
Germany: Secretariat of the Intergovernmental Science-Policy Plat-
form on Biodiversity and Ecosystem Services.
OTERO ET AL.15 of 18
IPBES (2018b). The IPBES regional assessment report on biodiversity
and ecosystem services for the Americas. J. Rice, C. S. Seixas, M. E.
Zaccagnini, M. Bedoya-Gaitán, & N. Valderrama (Eds.). Bonn, Ger-
many: Secretariat of the Intergovernmental Science-Policy Platform
on Biodiversity and Ecosystem Services.
IPBES (2019a). Global assessment report on biodiversity and ecosystem
services of the Intergovernmental Science-Policy Platform on Biodi-
versity and Ecosystem Services. E. S. Brondizio, J. Settele, S. Díaz,
& H. T. Ngo (Eds.). Bonn, Germany: IPBES Secretariat.
IPBES (2019b). Summary for policymakers of the global assessment
report on biodiversity and ecosystem services of the Intergovernmen-
tal Science-Policy Platform on Biodiversity and Ecosystem Services.
Bonn, Germany: IPBES Secretariat.
IPCC (2014). Climate change 2014: Synthesis report. Contribution of
working groups I, II and III to the fifth assessment report of the Inter-
governmental Panel on Climate Change. R. K. Pachauri and L.A.
Meyer (Eds.). Geneva, Switzerland: IPCC.
Jackson, T. (2011). Prosperity without growth: Economics for a finite
planet. New York, NY: Routledge.
Jackson, T., & Victor, P. A. (2016). Does slow growth lead to ris-
ing inequality? Some theoretical reflections and numerical simula-
tions. Ecological Economics,121, 206–219. https://doi.org/10.1016/
j.ecolecon.2015.03.019
Jackson, T., & Victor, P. A. (2019). Unraveling the claims for (and
against) green growth. Science,366(6468), 950–951. https://doi.org/
10.1126/science.aay0749
Kallis, G., Kalush, M., O’Flynn, H., Rossiter, J., & Ashford, N. (2013).
“Friday off”: Reducing working hours in Europe. Sustainability,5,
1545–1567.
Kallis, G. (2011). In defence of degrowth. Ecological Economics,70(5),
873–880. https://doi.org/10.1016/j.ecolecon.2010.12.007
Kallis, G., Kostakis, V., Lange, S., Muraca, B., Paulson, S., & Schmelzer,
M. (2018). Research on degrowth. Annual Review of Environment
and Resources,43(1), 291–316. https://doi.org/10.1146/annurev-
environ-102017-025941
Kastner, T., Rivas, M. J. I., Koch, W., & Nonhebel, S. (2012). Global
changes in diets and the consequences for land requirements for food.
Proceedings of the National Academy of Sciences,109(18), 6868–
6872. https://doi.org/10.1073/pnas.1117054109
Kerr, J. T., & Cihlar, J. (2004). Patterns and causes of species endan-
germent in Canada. Ecological Applications,14(3), 743–753. https:
//doi.org/10.1890/02-5117
Kim, H., Rosa, I. M. D., Alkemade, R., Leadley, P., Hurtt, G., Popp,
A., …Pereira, H. M. (2018). A protocol for an intercomparison of
biodiversity and ecosystem services models using harmonized land-
use and climate scenarios. Geoscientific Model Development,11(11),
4537–4562. https://doi.org/10.5194/gmd-11-4537-2018
Kleijn, D., Kohler, F., Báldi, A., Batáry, P., Concepción, E. D., Clough,
Y., …Verhulst, J. (2009). On the relationship between farmland
biodiversity and land-use intensity in Europe. Proceedings of the
Royal Society of London B: Biological Sciences,276(1658), 903–
909. https://doi.org/10.1098/rspb.2008.1509
Klein Goldewijk, K., Beusen, A., Doelman, J., & Stehfest, E. (2017).
Anthropogenic land use estimates for the Holocene – HYDE 3.2.
Earth System Science Data,9(2), 927–953. https://doi.org/10.5194/
essd-9-927-2017
Knight, K. W., Rosa, E. A., & Schor, J. B. (2013). Could working less
reduce pressures on the environment? A cross-national panel analy-
sis of OECD countries, 1970–2007. Global Environmental Change,
23(4), 691–700. https://doi.org/10.1016/j.gloenvcha.2013.02.017
Kovács-Hostyánszki, A., Espíndola, A., Vanbergen, A. J., Settele, J.,
Kremen, C., & Dicks, L. V. (2017). Ecological intensification to
mitigate impacts of conventional intensive land use on pollinators
and pollination. Ecology Letters,20(5), 673–689. https://doi.org/10.
1111/ele.12762
Krausmann, F., Erb, K.-H., Gingrich, S., Haberl, H., Bondeau, A.,
Gaube, V., …Searchinger, T. D. (2013). Global human appropria-
tion of net primary production doubled in the 20th century. Proceed-
ings of the National Academy of Sciences,110(25), 10324–10329.
https://doi.org/10.1073/pnas.1211349110
Krausmann, F., Schandl, H., Eisenmenger, N., Giljum, S., & Jack-
son, T. (2017). Material flow accounting: Measuring global mate-
rial use for sustainable development. Annual Review of Environment
and Resources,42(1), 647–675. https://doi.org/10.1146/annurev-
environ-102016-060726
Krausmann, F., Wiedenhofer, D., Lauk, C., Haas, W., Tanikawa, H., Fish-
man, T., …Haberl, H. (2017). Global socioeconomic material stocks
rise 23-fold over the 20th century and require half of annual resource
use. Proceedings of the National Academy of Sciences,114(8), 1880–
1885. https://doi.org/10.1073/pnas.1613773114
Krauss, J., Bommarco, R., Guardiola, M., Heikkinen, R. K., Helm, A.,
Kuussaari, M., …Steffan-Dewenter, I. (2010). Habitat fragmenta-
tion causes immediate and time-delayed biodiversity loss at differ-
ent trophic levels. Ecology Letters,13(5), 597–605. https://doi.org/
10.1111/j.1461-0248.2010.01457.x
Kubiszewski, I., Costanza, R., Anderson, S., & Sutton, P. (2017). The
future value of ecosystem services: Global scenarios and national
implications. Ecosystem Services,26, 289–301. https://doi.org/10.
1016/j.ecoser.2017.05.004
Kubiszewski, I., Costanza, R., Franco, C., Lawn, P., Talberth, J., Jack-
son, T., & Aylmer, C. (2013). Beyond GDP: Measuring and achiev-
ing global genuine progress. Ecological Economics,93, 57–68.
https://doi.org/10.1016/j.ecolecon.2013.04.019
Lantz, V., & Martínez-Espiñeira, R. (2008). Testing the environmen-
tal Kuznets curve hypothesis with bird populations as habitat-
specific environmental indicators: Evidence from Canada. Conserva-
tion Biology,22(2), 428–438. https://doi.org/10.1111/j.1523-1739.
2008.00885.x
Latouche, S. (2009). Fare well to gro wt h. Malden, MA: Polity Press.
Lenton, T. M. (2013). Environmental tipping points. Annual Review of
Environment and Resources,38(1), 1–29. https://doi.org/10.1146/
annurev-environ-102511-084654
Lenzen, M., Moran, D., Kanemoto, K., Foran, B., Lobefaro, L., &
Geschke, A. (2012). International trade drives biodiversity threats in
developing nations. Nature,486(7401), 109–112. https://doi.org/10.
1038/nature11145
Lietaert, M. (2010). Cohousing’s relevance to degrowth theories. Jour-
nal of Cleaner Production,18(6), 576–580. https://doi.org/10.1016/
j.jclepro.2009.11.016
Lundquist, C. J., Pereira, H. M., Alkemade, R., & den Belder, E. (2017).
Visions for nature and nature’s contributions to people for the 21st
century: Report from an IPBES visioning workshop held on Septem-
ber 4–8, 2017, in Auckland, New Zealand (No. 83; p. 123). Auckland,
New Zealand: NIWA.
Majumder, P., Berrens, R. P., & Bohara, A. K. (2006). Is there an environ-
mental Kuznets curve for the risk of biodiversity loss? The Journal of
16 of 18 OTERO ET AL.
Developing Areas,39(2), 175–190. https://doi.org/10.1353/jda.2006.
0008
Marques, A., Martins, I. S., Kastner, T., Plutzar, C., Theurl, M. C.,
Eisenmenger, N., …Pereira, H. M. (2019). Increasing impacts of
land use on biodiversity and carbon sequestration driven by popu-
lation and economic growth. Nature Ecology & Evolution,3(4), 628.
https://doi.org/10.1038/s41559-019-0824-3
Martin, J.-L., Maris, V., & Simberloff, D. S. (2016). The need to respect
nature and its limits challenges society and conservation science. Pro-
ceedings of the National Academy of Sciences,113(22), 6105–6112.
https://doi.org/10.1073/pnas.1525003113
Martinez-Alier, J. (2002). The environmentalism of the poor: A study
of ecological conflicts and valuation. Cheltenham, UK: Edward
Elgar.
Maxwell, S. L., Fuller, R. A., Brooks, T. M., & Watson, J. E. M. (2016).
Biodiversity: The ravages of guns, nets and bulldozers. Nature News,
536(7615), 143. https://doi.org/10.1038/536143a
McPherson, M. A., & Nieswiadomy, M. L. (2005). Environmental
Kuznets curve: Threatened species and spatial effects. Ecologi-
cal Economics,55(3), 395–407. https://doi.org/10.1016/j.ecolecon.
2004.12.004
Mills, J. H., & Waite, T. A. (2009). Economic prosperity, biodiversity
conservation, and the environmental Kuznets curve. Ecological Eco-
nomics,68(7), 2087–2095. https://doi.org/10.1016/j.ecolecon.2009.
01.017
Naidoo, R., & Adamowicz, W. L. (2001). Effects of economic
prosperity on numbers of threatened species. Conservation Biol-
ogy,15(4), 1021–1029. https://doi.org/10.1046/j.1523-1739.2001.
0150041021.x
Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior,
R. A., …Purvis, A. (2015). Global effects of land use on local terres-
trial biodiversity. Nature,520(7545), 45–50. https://doi.org/10.1038/
nature14324
Odum, H. T., & Odum, E. C. (2006). The prosperous way down. Energy,
31(1), 21–32. https://doi.org/10.1016/j.energy.2004.05.012
O’Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K.,
Rothman, D. S., …Solecki, W. (2017). The roads ahead: Narratives
for shared socioeconomic pathways describing world futures in the
21st century. Global Environmental Change,42, 169–180. https://
doi.org/10.1016/j.gloenvcha.2015.01.004
O’Neill, D. W. (2012). Measuring progress in the degrowth transition to
a steady state economy. Ecological Economics,84, 221–231. https:
//doi.org/10.1016/j.ecolecon.2011.05.020
O’Neill, D. W., Fanning, A. L., Lamb, W. F., & Steinberger, J. K. (2018).
A good life for all within planetary boundaries. Nature Sustainability,
1(2), 88–95. https://doi.org/10.1038/s41893-018-0021-4
Parmesan, C., & Yohe, G. (2003). A globally coherent fingerprint of cli-
mate change impacts across natural systems. Nature,421(6918), 37–
42. https://doi.org/10.1038/nature01286
Pauli, H., Gottfried, M., Dullinger, S., Abdaladze, O., Akhalkatsi, M.,
Alonso, J. L. B., …Grabherr, G. (2012). Recent plant diversity
changes on Europe’s mountain summits. Science,336(6079), 353–
355. https://doi.org/10.1126/science.1219033
Peñuelas, J., & Filella, I. (2001). Responses to a warming world. Science,
294(5543), 793–795. https://doi.org/10.1126/science.1066860
Piketty, T. (2014). Capital in the twenty-first century. Harvard University
Press.
Postma-Blaauw,M.B.,deGoede,R.G.M.,Bloem,J.,Faber,J.H.,&
Brussaard, L. (2010). Soil biota community structure and abundance
under agricultural intensification and extensification. Ecology,91(2),
460–473. https://doi.org/10.1890/09-0666.1
Quéré, C. L., Korsbakken, J. I., Wilson, C., Tosun, J., Andrew, R.,
Andres, R. J., …van Vuuren, D. P. (2019). Drivers of declining CO2
emissions in 18 developed economies. Nature Climate Change,9(3),
213. https://doi.org/10.1038/s41558-019-0419-7
Raworth, K. (2017). Doughnut economics: Seven ways to think like a
21st-century economist. White River Junction, VT: Chelsea Green
Publishing.
Rodríguez-Labajos, B., Yánez, I., Bond, P., Greyl, L., Munguti, S., Ojo,
G. U., & Overbeek, W. (2019). Not so natural an alliance? Degrowth
and environmental justice movements in the Global South. Ecolog-
ical Economics,157, 175–184. https://doi.org/10.1016/j.ecolecon.
2018.11.007
Root,T.L.,Price,J.T.,Hall,K.R.,Schneider,S.H.,Rosenzweig,C.,
& Pounds, J. A. (2003). Fingerprints of global warming on wild ani-
mals and plants. Nature,421(6918), 57–60. https://doi.org/10.1038/
nature01333
Rosa, H., Dörre, K., & Lessenich, S. (2017). Appropriation, activation
and acceleration: The escalatory logics of capitalist modernity and
the crises of dynamic stabilization. Theory, Culture & Society,34(1),
53–73. https://doi.org/10.1177/0263276416657600
Rosa,I.M.D.,Pereira,H.M.,Ferrier,S.,Alkemade,R.,Acosta,
L. A., Akcakaya, R., …van Vuuren, D. (2017). Multiscale sce-
narios for nature futures. Nature Ecology and Evolution,1, 1416–
1419. https://doi.org/10.1038/s41559-017-0273-9
Schandl, H., Fischer-Kowalski, M., West, J., Giljum, S., Dittrich, M.,
Eisenmenger, N., …Fishman, T. (2017). Global material flows and
resource productivity: Forty years of evidence. Journal of Industrial
Ecology, https://doi.org/10.1111/jiec.12626
Seebens, H., Blackburn, T., Dyer, E., Genovesi, P., Hulme, P., Jeschke,
J., …Essl, F. (2018). The global rise in emerging alien species results
from increased accessibility of new source pools. Proceedings of the
National Academy of Sciences,15(10), E2264–E227.
Seebens, H., Blackburn, T. M., Dyer, E. E., Genovesi, P., Hulme, P.
E.,Jeschke,J.M.,…Essl, F. (2017). No saturation in the accu-
mulation of alien species worldwide. Nature Communications,8,
ncomms14435. https://doi.org/10.1038/ncomms14435
Seebens, H., Essl, F., Dawson, W., Fuentes, N., Moser, D., Pergl, J., …
Blasius, B. (2015). Global trade will accelerate plant invasions in
emerging economies under climate change. Global Change Biology,
21(11), 4128–4140. https://doi.org/10.1111/gcb.13021
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts
of urban expansion to 2030 and direct impacts on biodiversity and
carbon pools. Proceedings of the National Academy of Sciences,
109(40), 16083–16088. https://doi.org/10.1073/pnas.1211658109
Shao, Q., & Rodríguez-Labajos, B. (2016). Does decreasing work-
ing time reduce environmental pressures? New evidence based on
dynamic panel approach. Journal of Cleaner Production,125, 227–
235. https://doi.org/10.1016/j.jclepro.2016.03.037
Sirami, C., Caplat, P., Popy, S., Clamens, A., Arlettaz, R., Jiguet, F.,
…Martin, J.-L. (2017). Impacts of global change on species distri-
butions: Obstacles and solutions to integrate climate and land use.
Global Ecology and Biogeography,26(4), 385–394. https://doi.org/
10.1111/geb.12555
Steinberger, J. K., Krausmann, F., Getzner, M., Schandl, H., & West,
J. (2013). Development and dematerialization: An international
study. Plos One,8(10), e70385. https://doi.org/10.1371/journal.
pone.0070385
OTERO ET AL.17 of 18
Stephens, P. A., Mason, L. R., Green, R. E., Gregory, R. D., Sauer, J.
R., Alison, J., …Willis, S. G. (2016). Consistent response of bird
populations to climate change on two continents. Science,352(6281),
84–87. https://doi.org/10.1126/science.aac4858
Stern, D. I. (2017). The environmental Kuznets curve after 25 years.
Journal of Bioeconomics,19(1), 7–28. https://doi.org/10.1007/
s10818-017-9243-1
Strong, A., Tschirhart, J., & Finnoff, D. (2011). Is economic growth for
the birds? Ecological Economics,70(7), 1375–1380. https://doi.org/
10.1016/j.ecolecon.2011.02.013
Talberth, J., Cobb, C., & Slattery, N. (2007). The Genuine Progress
Indicator 2006. A tool for sustainable development. Oakland, CA:
Redefining Progress.
Talberth, J., & Weisdorf, M. (2017). Genuine progress indicator 2.0:
pilot accounts for the US, Maryland, and City of Baltimore 2012–
2014. Ecological Economics,142, 1–11. https://doi.org/10.1016/j.
ecolecon.2017.06.012
Tello, E., & Ostos, J. R. (2012). Water consumption in Barcelona and its
regional environmental imprint: A long-term history (1717–2008).
Regional Environmental Change,12(2), 347–361. https://doi.org/10.
1007/s10113-011-0223-z
Tevie, J., Grimsrud, K. M., & Berrens, R. P. (2011). Testing the environ-
mental Kuznets curve hypothesis for biodiversity risk in the US: A
spatial econometric approach. Sustainability,3, 2182–2199.
Theurl, M. C., Haberl, H., Erb, K.-H., & Lindenthal, T. (2014). Con-
trasted greenhouse gas emissions from local versus long-range
tomato production. Agronomy for Sustainable Development,34(3),
593–602. https://doi.org/10.1007/s13593-013-0171-8
Tilman, D., & Clark, M. (2014). Global diets link environmental sus-
tainability and human health. Nature,515(7528), 518–522. https:
//doi.org/10.1038/nature13959
Tilman, D., Fargione, J., Wolff, B., D’Antonio, C., Dobson, A., Howarth,
R., …Swackhamer, D. (2001). Forecasting agriculturally driven
global environmental change. Science,292(5515), 281–284. https:
//doi.org/10.1126/science.1057544
Tittensor, D. P., Walpole, M., Hill, S. L. L., Boyce, D. G., Britten, G. L.,
Burgess, N. D., …Ye, Y. (2014). A mid-term analysis of progress
toward international biodiversity targets. Science,346(6206), 241–
244. https://doi.org/10.1126/science.1257484
United Nations (n.d.). UN data. Retrieved from http://data.un.org/Data.
aspx?d=POP&f=tableCode%3a1
Urban, M. C., Bocedi, G., Hendry, A. P., Mihoub, J.-B., Pe’er, G., Singer,
A., …Travis, J. M. J. (2016). Improving the forecast for biodiversity
under climate change. Science,353(6304), aad8466. https://doi.org/
10.1126/science.aad8466
U.S. Bureau of Economic Analysis (2005). National accounts (NIPA)
March 30, 2005. Retrieved from https://apps.bea.gov/histdata/
fileStructDisplay.cfm?HMI=7&DY=2004&DQ=Q4&DV=3.
%20Final&dNRD=March-30-2005
U.S. Bureau of Economic Analysis (2019). National accounts
(NIPA) October 31, 2019. Retrieved from https://apps.bea.
gov/histdata/fileStructDisplay.cfm?HMI=7&DY=2019&DQ=
Q3&DV=Advance&dNRD=October-31- 2019
U. S. Census Bureau (1990). Selected historical decennial census pop-
ulation and housing counts. Population, housing units, area mea-
surements, and density: 1790 to 1990. Retrieved from https://www.
census.gov/population/www/censusdata/hiscendata.html
van den Bergh, J. C. J. M. (2009). The GDP paradox. Journal of Eco-
nomic Psychology,30(2), 117–135. https://doi.org/10.1016/j.joep.
2008.12.001
van den Bergh, J. C. J. M. (2017). A third option for climate policy within
potential limits to growth. Nature Climate Change,7(2), 107–112.
https://doi.org/10.1038/nclimate3113
van den Bergh, J. C. J. M., & Kallis, G. (2012). Growth, a-growth or
degrowth to stay within planetary boundaries? Journal of Economic
Issues,46(4), 909–920.
Victor, P. A. (2008). Managing without growth: Slower by design, not
disaster. Cheltenham, UK: Edward Elgar Publishing.
Victor, P. A. (2012). Growth, degrowth and climate change: A sce-
nario analysis. Ecological Economics,84, 206–212. https://doi.org/
10.1016/j.ecolecon.2011.04.013
Videira, N., Schneider, F., Sekulova, F., & Kallis, G. (2014). Improving
understanding on degrowth pathways: An exploratory study using
collaborative causal models. Futures,55, 58–77. https://doi.org/10.
1016/j.futures.2013.11.001
Vilà, M., Basnou, C., Pyšek, P., Josefsson, M., Genovesi, P., Gollasch, S.,
…DAISIE Partners. (2010). How well do we understand the impacts
of alien species on ecosystem services? A pan-European, cross-taxa
assessment. Frontiers in Ecology and the Environment,8(3), 135–
144. https://doi.org/10.1890/080083
Vilà, M., & Hulme, P. (Eds.). (2017). Impact of biological invasions
on ecosystem services. Invading Nature, Springer Series in Invasion
Ecology book series (INNA, Vol. 12). Berlin, Germany: Springer.
https://doi.org/10.1007/978-3-319-45121-3
Wächter, P. (2013). The impacts of spatial planning on degrowth.
Sustainability,5(3), 1067–1079. https://doi.org/10.3390/su50
31067
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee,
T. J. C., …Bairlein, F. (2002). Ecological responses to recent cli-
mate change. Nature,416(6879), 389–395. https://doi.org/10.1038/
416389a
Ward, J. D., Sutton, P. C., Werner, A. D., Costanza, R., Mohr, S. H., &
Simmons, C. T. (2016). Is decoupling GDP growth from environmen-
tal impact possible? Plos One,11(10), e0164733. https://doi.org/10.
1371/journal.pone.0164733
Wernberg, T., Smale, D. A., Tuya, F., Thomsen, M. S., Langlois, T.
J., de Bettignies, T., …Rousseaux, C. S. (2013). An extreme cli-
matic event alters marine ecosystem structure in a global biodiver-
sity hotspot. Nature Climate Change,3(1), 78–82. https://doi.org/10.
1038/nclimate1627
Wessely, J., Hülber, K., Gattringer, A., Kuttner, M., Moser, D.,
Rabitsch, W., …Essl, F. (2017). Habitat-based conservation strate-
gies cannot compensate for climate-change-induced range loss.
Nature Climate Change,7(11), 823. https://doi.org/10.1038/nclimate
3414
18 of 18 OTERO ET AL.
Wiedmann, T. O., Schandl, H., Lenzen, M., Moran, D., Suh, S., West,
J., & Kanemoto, K. (2015). The material footprint of nations. Pro-
ceedings of the National Academy of Sciences,112(20), 6271–6276.
https://doi.org/10.1073/pnas.1220362110
Winter, M., Schweiger, O., Klotz, S., Nentwig, W., Andriopoulos, P.,
Arianoutsou, M., …Kühn, I. (2009). Plant extinctions and intro-
ductions lead to phylogenetic and taxonomic homogenization of
the European flora. Proceedings of the National Academy of Sci-
ences,106(51), 21721–21725. https://doi.org/10.1073/pnas.09070
88106
Xue, J. (2014). Is eco-village/urban village the future of a degrowth
society? An urban planner’s perspective. Ecological Eco-
nomics,105, 130–138. https://doi.org/10.1016/j.ecolecon.2014.
06.003
Yamaguchi, T., & Blumwald, E. (2005). Developing salt-tolerant
crop plants: Challenges and opportunities. Trends in Plant Sci-
ence,10(12), 615–620. https://doi.org/10.1016/j.tplants.2005.
10.002
SUPPORTING INFORMATION
Additional supporting information may be found online in the
Supporting Information section at the end of the article.
How to cite this article: Otero I, Farrell KN,
Pueyo S, et al. Biodiversity policy beyond eco-
nomic growth. Conservation Letters. 2020;e12713.
https://doi.org/10.1111/conl.12713