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© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Multiscale scenarios for nature
futures
Targets for human development are increasingly connected with targets for nature, however, existing scenarios do
not explicitly address this relationship. Here, we outline a strategy to generate scenarios centred on our relationship
with nature to inform decision-making at multiple scales.
Isabel M. D. Rosa, Henrique M. Pereira, Simon Ferrier, Rob Alkemade, Lilibeth A. Acosta, H. Resit Akcakaya,
Eefje den Belder, Asghar M. Fazel, Shinichiro Fujimori, Mike Harfoot, Khaled A. Harhash, Paula A. Harrison,
Jennifer Hauck, Rob J. J. Hendriks, Gladys Hernández, Walter Jetz, Sylvia I. Karlsson-Vinkhuyzen,
HyeJin Kim, Nicholas King, Marcel T. J. Kok, Grygoriy O. Kolomytsev, Tanya Lazarova, Paul Leadley,
Carolyn J. Lundquist, Jaime García Márquez, Carsten Meyer, Laetitia M. Navarro, Carsten Nesshöver,
Hien T. Ngo, Karachepone N. Ninan, Maria G. Palomo, Laura M. Pereira, Garry D. Peterson, Ramon Pichs,
Alexander Popp, Andy Purvis, Federica Ravera, Carlo Rondinini, Jyothis Sathyapalan, Aafke M. Schipper,
Ralf Seppelt, Josef Settele, Nadia Sitas and Detlef van Vuuren
Scenarios are powerful tools to
envision how nature might respond
to different pathways of future
human development and policy choices1.
Most scenarios developed for global
environmental assessments have explored
impacts of society on nature, such as
biodiversity loss, but have not included
nature as a component of socioeconomic
development2. They ignore policy
objectives related to nature protection
and neglect nature’s role in underpinning
development and human well-being.
This approach is becoming untenable
because targets for human development
are increasingly connected with targets
for nature, such as in the United Nations’
Sustainable Development Goals. The next
generation of scenarios should explore
alternative pathways to reach these
intertwined targets, including potential
synergies and trade-offs between nature
conservation and other development
goals, as well as address feedbacks between
nature, nature’s contributions to people,
and human well-being. The development
of these scenarios would benefit from the
use of participatory approaches, integrating
stakeholders from multiple sectors (for
example, fisheries, agriculture, forestry)
and should address decision-makers
from the local to the global scale3, thereby
supporting assessments being undertaken
by the Intergovernmental Platform
on Biodiversity and Ecosystem
Services (IPBES).
A strategy for IPBES-tailored scenarios
Changes in nature, including biodiversity
loss, emerge from interactions between
drivers operating across a wide range
of spatial scales, from local to global.
Consequences of these changes, such as
loss of ecosystem services supply, also play
out across multiple scales. However, the
recent IPBES methodological assessment
of scenarios and models of biodiversity and
ecosystem services showed that scenarios
used in global assessments rarely integrate
values and processes from sub-regional
scales, while scenarios used at local scale
are usually developed for specific contexts,
hampering their comparison across regions1.
Furthermore, existing global socioeconomic
and climate change scenarios, being used
by the Intergovernmental Panel on Climate
Change4, do not adequately consider nature
and its contributions to people. Scenarios
generated by past initiatives informing
global environmental assessments, such as
the Millennium Ecosystem Assessment5,
placed a stronger emphasis on nature, yet
the socioeconomic pathways explored
were similar to those in climate scenarios,
and hence included no consideration of
social–ecological feedbacks, and limited
consideration of multiscale processes.
Here, we outline a two-step strategy to
develop a new generation of scenarios that
overcome these limitations, in accordance
with guidance provided by IPBES1, which
encouraged close collaboration with the
wider scientific community “to develop a
flexible and adaptable suite of multiscaled
scenarios specifically tailored to its [IPBES’s]
objectives”1. The steps are as follows: (i)
extend existing global scenarios developed
by the climate-science community, by
modelling impacts on biodiversity and
ecosystem services (Fig.1a); and (ii)
make an ambitious effort to create a set of
multiscale scenarios of desirable ‘nature
futures’, based on the perspectives of
different stakeholders, taking into account
goals for both human development and
nature stewardship (Fig.1b).
Global biodiversity scenarios
Potential global trajectories for drivers
of ecosystem change have been recently
explored by the climate-science community6.
Although targeting long-term analyses,
with low sensitivity to short-term and
local/regional dynamics, the shared socio-
economic pathways (SSPs) explore a wide
range of human development pathways,
from slow to fast rates of population
growth, economic growth, technological
development, trade development and
implementation of environmental policies.
The SSPs can be used in combination with
representative concentration pathways
(RCPs), which describe pathways of
greenhouse gas emissions resulting in
different climate change scenarios.
Integrated assessment models and
global climate models can translate relevant
combinations of SSPs/RCPs into land-use
change and climate change projections.
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Existing biodiversity and ecosystem services
models1 can then be used to translate
these projections into potential impacts on
nature, nature’s contributions to people,
and good quality of life (Fig.1a). Although
this approach does not account for drivers
of change in biodiversity and ecosystem
services operating at regional and sub-
regional scales, it enables an assessment of
impacts from projected changes in land use
and climate at the global scale. In contrast
with previous analyses, we propose the
use of multiple models assessing impacts
across diverse dimensions of biodiversity
(for example, species richness, abundance,
and composition) and ecosystem services
(provisioning, regulating, and cultural
services). Comparable metrics for
biodiversity and ecosystem services
(such as essential biodiversity variables) will
be needed to harmonize outputs
from models addressing each of
these dimensions1,2.
Although this use of scenarios based on
combinations of SSPs/RCPs will continue
the tradition of viewing nature as the
endpoint in a linear cascade of models
(Fig.1a), there is little choice but to retain
this approach for informing the IPBES
global assessment, given its scheduled
delivery in 2019. However, this approach
will inform the more ambitious and
longer-term component of this two-step
strategy. The second component places our
relationship with nature at the centre of
scenario development and addresses the full
range of social–ecological feedbacks (Fig.1b).
Scenarios developed by this long-term
endeavour will underpin future rounds of
IPBES regional and global assessments.
Visioning nature futures
The process of developing nature futures
will produce multiple, stakeholder-defined
endpoints and then explore various
pathways for reaching those (Fig.1b).
These desirable nature futures should
represent a wide range of human–nature
interactions, based on the perspectives of
different stakeholders, and include a variety
of different types of human-modified
ecosystems encompassing different degrees
of human intervention. As in other visioning
exercises (Fig.2a), futures may range from
seascapes and landscapes managed for
multiple purposes (that is, multifunctional
landscapes) to intensely managed, highly
productive regions co-existing with
wilderness and minimally exploited marine
and freshwater ecosystems.
We propose an iterative, participatory
and creative process, to identify these
nature futures (Fig.2b). This process will
bring together key stakeholders from
different sectors, at multiple spatial scales,
including public administration agencies,
intergovernmental organizations, non-
governmental organizations, businesses,
civil society, indigenous peoples and local
communities, as well as the scientific
community. The articulation of nature
futures between stakeholders, and spatial
scales, will use visualization techniques and
other facilitation tools to enrich existing
statements of such futures. These visioning
exercises will build on emerging efforts at
multiple scales (for example, the European
Nature Outlook7, Fig.2a). Tools such as
scenario archetypes, that is, grouping
scenarios together as classes based on
similarities in underlying assumptions,
storylines, and characteristics, can then be
used to integrate visions, thus highlighting
conflicts and convergences across scales6.
At the global scale, nature futures
could, for example, explore pathways to
achieve the 2050 strategic vision of the
Convention on Biological Diversity8, and
work in collaboration with ongoing efforts
across other sectors developing visions
for the array of Sustainable Development
Goals. At the regional scale, nature futures
can be informed by the ongoing IPBES
regional assessments, which are collecting
information on trends of biodiversity and
ecosystem services, as well as by national
and regional biodiversity targets (for
example, national biodiversity strategies and
action plans). Local studies, on the other
hand, can provide knowledge on how to link
nature futures to decision-making, while
being inclusive of the diversity of nature
values held by different local communities9.
Once the alternative nature futures have
been identified, qualitative and quantitative
approaches (for example, modelling,
empirical studies and expert knowledge)
can be used to identify potential pathways
for reaching these endpoints, including
specific policy alternatives, and feedbacks
between nature, nature’s contributions to
people, quality of life and decision-making.
These analyses could be carried out in
working groups, focusing on three topics
(Fig.1b): (1) models of interactions between
biodiversity and ecosystem services;
(2) social–ecological feedbacks, such as
individual and institutional behavioural
responses to changes in nature and their
impact on human well-being; and (3)
trajectories of indirect (for example,
socioeconomic changes) and direct (for
example, land-use change) drivers of change
and their impacts on nature.
Biodiversity and ecosystem services
Explicit consideration of links between
biodiversity and ecosystem services is
limited in most models, and therefore
impacts of direct drivers on nature are
usually modelled independently of their
impacts on nature’s contributions to
people2. However, our knowledge about
the relationships between biodiversity
and ecosystem functioning, and therefore
services, has improved greatly10,11. Much of
this ecological knowledge, acquired at very
small scales (for example, experimental
plots) is still to be incorporated into
models at larger scales. Accounting for
Global pathways of
socio-economic development
Driver (for example, climate change
and land use) trajectories
Impacts on biodiversity and
ecosystem services
Biodiversity
Nature
Ecosystem services
Nature contributions
Society
Drivers, governance,
quality of life
Alternative nature futures
(narratives)
ab
Local
Regional
Global
WG 1
WG 3
WG 2
Integrated assessment and
global climate models
Biodiversity and ecosystem
services models
Global
scenarios
Regional
assessments
Local
knowledge
Models, empirical studies and expert knowledge
Fig. 1 | Strategy to develop the next generation of biodiversity and ecosystem services scenarios
supporting the Intergovernmental Platform on Biodiversity and Ecosystem Services. a, Extension of
global scenarios developed by the climate-science community, by analysing the impacts on biodiversity
and ecosystem services. b, A novel approach based on participatory nature futures, which are
transformed into scenarios using three working groups (WGs): interactions between biodiversity and
ecosystem services (WG 1), social–ecological feedbacks and impact on human well-being (WG 2); and
trajectories of indirect (for example, socioeconomic changes) and direct drivers (for example, land-use
change) (WG 3). Note: biodiversity and nature, and ecosystem services and nature’s contributions to
people, are used interchangeably throughout the text.
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the role of biodiversity in the delivery of
ecosystem services11 in each nature future
can be accomplished by a combination of
appropriate scale choice and application
of the most recent empirical, experimental
and modelling knowledge. When
indicators that are robust across scales are
available, methods that work at multiple
spatiotemporal scales can be integrated
(empirical studies, remote sensing and
ecosystem modelling)12.
Recent work has started to explore how
to map at continental scales the spatial
distribution of these benefits based on the
presence of species with particular traits13,
opening the door to assessments of how
regional and global scenarios of indirect
and direct drivers of biodiversity change
would affect ecosystem services, mediated
by changes in species distributions and
abundances. Such scenarios are likely to
demonstrate that nature’s contributions to
people depend both on natural and human
capital14, although their relative importance
may vary across ecosystem services.
Furthermore, scenarios could highlight
that the perceived relationship between
nature and nature’s contributions to people
may differ among stakeholder groups, that
is, landscape management preferences
of farmers, hunters, and tourists differ
because they expect different combinations
of services. Inclusion of indigenous and
local knowledge and practices is critical to
guarantee that diverse values of nature are
captured and integrated.
Social–ecological feedbacks
In developing this new generation of
scenarios, it is vital not only to include key
stakeholders in identifying the futures, but
also to describe and model how they may
respond to changes in drivers, biodiversity,
ecosystem services and human well-being
associated with each future. Models that
couple social and ecological dynamics are
becoming available, demonstrating that
insights from social–ecological feedbacks
can be critical for anticipating regime
shifts15. Agent-based and dynamic models
can represent how the well-being of key
agents, within each sector and realm, differ
in each vision, and how individual responses
and actions can impact the drivers’
trajectories16.
Many of these social–ecological
feedbacks play out across multiple scales and
locations through telecoupling between the
production and consumption of ecosystem
services, often mediated by trade, but
also through institutional and governance
linkages16. Being able to produce scenarios
that show, for example, major relocation
of crop production or fisheries as a result
of environmental changes17, is essential to
help policymakers prepare for potential
socioeconomic (transboundary) impacts.
Global and regional policies set
the boundaries for national policies,
which affect decision-making in local
communities. In turn, the decisions of
local stakeholders and how they respond
and manage different nature trajectories
can scale up to determine the dynamics
of ecosystem change at regional scales.
The development of multi-scale scenarios
provides a unique environment to address
these cross-scale social–ecological
feedbacks, and their impact on human well-
being, thereby stimulating further research
in this field.
Towards social–ecological pathways
The SSPs do not adequately incorporate
cross-scale dynamics and social–ecological
feedbacks involving nature. These
shortcomings lead to an underestimation
of the effects of telecoupling and of tipping
points in ecosystems (such as fisheries
collapse or forest to savannah shifts)18. By
producing multiscale scenarios for nature
futures enriched with local to regional
models of biodiversity and ecosystem
services, we can assess how a similar
scenario endpoint may produce distinct
contributions to people in different areas
of the world. This is particularly relevant
to broadening the range of drivers assessed
in current global scenarios of biodiversity,
as many drivers are not currently well
modelled at the global scale, but are well
understood at local scales — for example,
the impacts of hunting on biodiversity or
the impacts of forest loss on pollination.
Such work on social–ecological feedbacks
and the development of coupled analyses
of society, nature and nature contributions
to people, may ultimately lead to a revised
set of SSPs, in which nature plays a central
ab
Sectors: ABCD
Urban
Agriculture
Forestry
Fisheries
Other
Africa Europe
and
Central Asia
Americas
Visions developed by stakeholders: civil society, private sector,
policymakers, indigenous knowledge and so on
Vision archetypes
Regional nature future
s
Global nature futures
Asia
Pacific
Subregional to local
nature futures
Strengthening cultural identity
People consider nature and the landscape part of
their local and regional communities.
Going with the economic flow
Nature serves lifestyles (production-oriented),
leaving management to businesses and citizens.
Allowing nature to find its way
People feel strongly about the value of nature,
providing it enough space and time to evolve.
Working with nature
Aiming for long-term preservation of natural
processes and delivery of services to people.
Fig. 2 | Constructing multiscale, multisectoral visions for nature futures. a, Examples of futures for European nature from the Nature Outlook project. The
Nature Outlook project aimed to capture the benefits that nature offersto people by engaging citizens and businesses of multiple sectors in the development
of future visions for nature in the European Union. As a result of the participatory process, which included dialogues with stakeholders and a citizens’ survey,
four different nature futures were designed. b, Expansion to a multiscale, multisector approach to produce alternative nature futures. Panel a adapted with
permission from ref. 7, PBL Netherlands Environmental Assessment Agency.
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role alongside existing socioeconomic
considerations.
To be successful, the scenario-
development process proposed here will
require scientific and technological advances
to fill knowledge gaps1 relating to the links
between nature, nature’s contributions
to people and human well-being. It will
thus rely on activities of a broad and
interdisciplinary community of scholars,
and equally critically, on the engagement
of policymakers, practitioners, and other
stakeholders. This engagement should
occur throughout all stages of scenario
development, from the identification
of nature futures, to modelling and
analysis, to decision support and policy
implementation1. Only through continued
engagement will scenarios be policy-relevant
and effectively used by decision-makers at
all scales. ❐
Isabel M. D. Rosa1,2*, Henrique M. Pereira1,2,3*,
Simon Ferrier4, Rob Alkemade5,
Lilibeth A. Acosta6, H. Resit Akcakaya7,
Eefje den Belder5,8, Asghar M. Fazel9,10,
Shinichiro Fujimori11,12, Mike Harfoot13,
Khaled A. Harhash14, Paula A. Harrison15,
Jennifer Hauck16,17, Rob J. J. Hendriks18,
Gladys Hernández19, Walter Jetz20,21,
Sylvia I. Karlsson-Vinkhuyzen22, HyeJin Kim23,
Nicholas King24, Marcel T. J. Kok5,
Grygoriy O. Kolomytsev25, Tanya Lazarova5,
Paul Leadley26, Carolyn J. Lundquist27,28,
Jaime García Márquez29, Carsten Meyer1,20,
Laetitia M. Navarro1,2, Carsten Nesshöver1,16,
Hien T. Ngo30, Karachepone N. Ninan31,
Maria G. Palomo32, Laura M. Pereira33,
Garry D. Peterson34, Ramon Pichs19,
Alexander Popp35, Andy Purvis36,
Federica Ravera37,38,39, Carlo Rondinini40,
Jyothis Sathyapalan41, Aafke M. Schipper5,
Ralf Seppelt2,17, Josef Settele1,42, Nadia Sitas43
and Detlef van Vuuren5
1 German Centre for Integrative Biodiversity Research
(iDiv), 04103 Leipzig, Germany. 2 Martin Luther
University Halle-Wittenberg, 06108 Halle, Germany.
3 Centro de Investigação em Biodiversidade e Recursos
Genéticos (CIBIO), Universidade do Porto, Vairāo
4485-661, Portugal. 4 Commonwealth Scientic and
Industrial Research Organisation (CSIRO) Land and
Water, Canberra 2601, Australia. 5 PBL Netherlands
Environmental Assessment Agency, 2500 GH e Hague,
e Netherlands. 6 Department of Community and
Environmental Resource Planning, College of Human
Ecology, University of the Philippines Los Banos
(UPLB), Laguna 4031, Philippines. 7 Department
of Ecology and Evolution, Stony Brook University,
Stony Brook, NY 11794-5245, USA.
8 Agrosystems Research, Wageningen University and
Research, 6708 PB Wageningen, e Netherlands.
9 Univ ersity Coll ege o f Envi ronment , Karaj 141 55-61 35,
Iran. 10 ECO Institute of Environmental Science and
Technology (ECO-IEST), Karaj 31746-118, Iran.
11 Center for Social and Environmental Systems
Research, National Institute for Environmental
Studies (NIES), Tsukuba 305-8506 Ibaraki, Japan.
12 International Institute for Applied Systems Analysis
(IIASA), Schlossplatz 1 A-2361 Laxenburg, Austria.
13 United Nations Environment Programme, World
Conservation Monitoring Centre, Cambridge CB3
0DL, UK. 14 Egyptian Environmental Aairs Agency
(EEAA), Maadi, Cairo 11728, Egypt. 15 Centre for
Ecology and Hydrology, Lancaster Environment
Centre, Bailrigg LA1 4AP Lancaster, UK. 16 UFZ —
Helmholtz Centre for Environmental Research, 04318
Leipzig, Germany. 17 CoKnow Consulting, 04838
Jesewitz, Germany. 18 Directorate of Agro and Nature
Knowledge, Ministry of Economic Aairs,
2594 AC e Hague, e Netherlands. 19 Centre for
World Economy Studies (CIEM), Miramar,
Habana 11300, Cuba. 20 Ecology and Evolutionary
Biology Department, Yale University,
New Haven, CT 06520-8106 Connecticut, USA.
21 Department of Life Sciences, Imperial College
London, Silwood Park Ascot Berkshire SL5 7PY,
UK. 22 Public Administration Group, Wageningen
University and Research, 6708 PB Wageningen,
e Netherlands. 23 National Institute of Ecology,
Seocheon 33657, Republic of Korea. 24 Research Unit
for Environmental Sciences and Management, North-
West University, Potchefstroom 2520, South Africa.
25 I.I. Schmalhausen Institute of Zoology of National
Academy of Sciences of Ukraine, Kiev 01030,
Ukraine. 26 Laboratoire d’Ecologie, Systématique
et Evolution, Université Paris-Sud, 91405 Orsay,
France. 27 Institute of Marine Science, University of
Auckland, Auckland 1142, New Zealand. 28 Nati onal
Institute of Water and Atmospheric Research Ltd
(NIWA), Hamilton 3216, New Zealand. 29 IRI
THESys, Humboldt-Universität zu Berlin, 10117
Berlin, Germany. 30 IPBES secretariat, D-53113 Bonn,
Germany. 31 Centre for Economics, Environment and
Society, Bangalore 560 047, India. 32 Museo Argentino
de Ciencias Naturales (MACN-CONICET), Buenos
Aires C1405DJR, Argentina. 33 Centre for Complex
Systems in Transition, Stellenbosch University,
Stellenbosch 7600, South Africa. 34 Stockholm
Resilience Centre, Stockholm University, Stockholm
SE-106 91, Sweden. 35 Potsdam Institute for Climate
Impact Research (PIK), Telegraphenberg, 14473
Potsdam, Germany. 36 Department of Life Sciences,
Natural History Museum, London SW7 5BD,
UK. 37 Instituto de Ciências Agrárias e Ambientais
Mediterrânica (ICAAM), University of Évora, Évora
7002-554, Portugal. 38 Agroecology and Food Systems,
UVic-Universitat Central De Catalunya, Carrer de
la Sagrada Família 7, 08500 Vic, Spain. 39 CREAF,
Cerdanyola del Vallès, Catalonia 08193, Spain.
40 Global Mammal Assessment Program, Department
of Biology and Biotechnologies, Sapienza University
of Rome, Rome 00185, Italy. 41 Centre for Economic
and Social Studies (CESS), Hyderabad 500016,
India. 42 UFZ — Helmholtz Centre for
Environmental Research, Halle 06120, Germany.
43 Council for Scientic and Industrial Research
(CSIR), Stellenbosch 7600, South Africa.
*e-mail: isabel.rosa@idiv.de; hpereira@idiv.de
Published: xx xx xxxx
DOI: 10.1038/s41559-017-0273-9
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Acknowledgements
These recommendations emerged from a workshop
held at the German Centre for Integrative Biodiversity
Research (iDiv), in Leipzig, between 3 and 6 October
2016, organized and funded by the Technical Support
Unit on Scenarios and Models of Biodiversity and
Ecosystem Services of IPBES Deliverable 3c, and iDiv.
I.M.D.R. has received funding from the European
Union’s Horizon 2020 research and innovation
programme under the Marie Sklodowska-Curie grant
agreement no. 703862.
Author contributions
I.M.D.R. and H.M.P. wrote the paper with input from
all co-authors. All co-authors were participants in the
workshop, and provided comments and revisions to the
manuscript. Note that the author list, after the fourth
author, is in alphabetic order by authors’ surname.
Competing interests
The authors declare no competing financial interests.
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