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Abstract and Figures

Increasing pressure on land resources necessitates landscape management strategies that simultaneously deliver multiple benefits to numerous stakeholder groups with competing interests. Accordingly, we developed an approach that combines ecological data on all types of ecosystem services with information describing the ecosystem service priorities of multiple stakeholder groups. We identified landscape scenarios that maximize the overall ecosystem service supply relative to demand (multifunctionality) for the whole stakeholder community, while maintaining equitable distribution of ecosystem benefits across groups. For rural Germany, we show that the current landscape composition is close to optimal, and that most scenarios that maximize one or a few services increase inequities. This indicates that most major land-use changes proposed for Europe (for example, large-scale tree planting or agricultural intensification) could lead to social conflicts and reduced multifunctionality. However, moderate gains in multifunctionality (4%) and equity (1%) can be achieved by expanding and diversifying forests and de-intensifying grasslands. More broadly, our approach provides a tool for quantifying the social impact of land-use changes and could be applied widely to identify sustainable land-use transformations. Managing landscapes sustainably is challenging given the competing interests of different stakeholder groups. By combining broad ecological data with information on the ecosystem service priorities of multiple stakeholder groups, this study provides a tool to quantify the social impact of land-use changes.
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Nature Sustainability | Volume 6 | April 2023 | 391–403 391
nature sustainability
https://doi.org/10.1038/s41893-022-01045-w
Article
Landscape management strategies for
multifunctionality and social equity
Margot Neyret  1 , Sophie Peter1,2, Gaëtane Le Provost  1,3, Steffen Boch  4,
Andrea Larissa Boesing1, James M. Bullock  5, Norbert Hölzel  6,
Valentin H. Klaus  7,8, Till Kleinebecker  9, Jochen Krauss10, Jörg Müller  11,12,
Sandra Müller  13, Christian Ammer14, François Buscot  15,16, Martin Ehbrecht14,
Markus Fischer  17, Kezia Goldmann  15, Kirsten Jung  18, Marion Mehring1,2,
Thomas Müller  1,1 9, Swen C. Renner20, Peter Schall  14,
Michael Scherer-Lorenzen  13, Catrin Westphal  21, Tesfaye Wubet16,22 &
Peter Manning  1,23
Increasing pressure on land resources necessitates landscape management
strategies that simultaneously deliver multiple benets to numerous
stakeholder groups with competing interests. Accordingly, we developed an
approach that combines ecological data on all types of ecosystem services
with information describing the ecosystem service priorities of multiple
stakeholder groups. We identied landscape scenarios that maximize the
overall ecosystem service supply relative to demand (multifunctionality) for
the whole stakeholder community, while maintaining equitable distribution
of ecosystem benets across groups. For rural Germany, we show that the
current landscape composition is close to optimal, and that most scenarios
that maximize one or a few services increase inequities. This indicates that
most major land-use changes proposed for Europe (for example, large-scale
tree planting or agricultural intensication) could lead to social conicts
and r ed uc ed m ul ti fu nc ti on ality. However, moderate gains in
multifunctionality (4%) and equity (1%) can be achieved by expanding and
diversifying forests and de-intensifying grasslands. More broadly, our
approach provides a tool for quantifying the social impact of land-use changes
and could be applied widely to identify sustainable l an d- use t ra nsformations.
Growing demand for ecosystem goods and services throughout the
globe is placing increased pressure on land resources to provide mul-
tiple benefits, simultaneously and at high levels
1,2
. These changing
demands have also resulted in major shifts in land use, which, by alter-
ing the balance of ecosystem services provided, can lead to conflicts
between stakeholder groups. Conflicts often emerge because land-use
changes typically promote only a few ecosystem services3, especially
those related to provisioning. However, due to biophysical trade-offs
among services
4
, this often comes at the expense of other services,
including the protection of biodiversity
5
. Because stakeholder groups
differ in their demands, these changes result in ‘winners’, ‘losers’ and
inequities regarding distribution and access6,7.
To understand how landscapes can be managed to best supply
multiple ecosystem services and to minimize conflicts between land
users, a range of modelling approaches have been applied
812
. These
typically focus on the impact of land-use changes on ecosystem service
supply, but without quantifying their impact on stakeholders. Mean-
while, the assessment of the societal impact of land-use change has
been largely conducted within social–ecological and landscape man-
agement research, via interviews, scenario workshops or surveys13,14.
Received: 25 January 2022
Accepted: 6 December 2022
Published online: 16 January 2023
Check for updates
A full list of afiliations appears at the end of the paper. e-mail: margot.neyret@senckenberg.de
Content courtesy of Springer Nature, terms of use apply. Rights reserved
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_________________ Full text on biorxiv: https://www.biorxiv.org/content/10.1101/2020.07.17.208199v5 ___________________ Land-use intensification has contrasting effects on different ecosystem services, often leading to land-use conflicts. While multiple studies have demonstrated how landscape-scale strategies can minimise the trade-off between agricultural production and biodiversity conservation, little is known about which land-use strategies maximise the landscape-level supply of multiple ecosystem services (landscape multifunctionality), a common goal of stakeholder communities. We combine comprehensive data collected from 150 German grassland sites with a simulation approach to identify landscape compositions, with differing proportions of low-, medium-, and high-intensity grasslands, that minimise trade-offs between the six main grassland ecosystem services prioritised by local stakeholders: biodiversity conservation, aesthetic value, productivity, carbon storage, foraging, and regional identity. Results are made accessible through an online tool that provides information on which compositions best meet any combination of user-defined priorities (https://neyret.shinyapps.io/landscape_composition_for_multifunctionality/). Results show that an optimal landscape composition can be identified for any pattern of ecosystem service priorities. However, multifunctionality was similar and low for all landscape compositions in cases where there are strong trade-offs between services (e.g. aesthetic value and fodder production), where many services were prioritised, and where drivers other than land use played an important role. We also found that if moderate service levels are deemed acceptable, then strategies in which both high and low intensity grasslands are present can deliver landscape multifunctionality. The tool presented can aid informed decision-making by predicting the impact of future changes in landscape composition, and by allowing for the relative roles of stakeholder priorities and biophysical trade-offs to be understood by scientists and practitioners alike.
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Compensating land managers for the provision of public goods is currently one of the European Union’s flagship policies, and one that that resonates across the globe more generally in the effort to meet Sustainable Development Goals. Despite having been central to the EU’s Common Agricultural Policy (CAP) for several decades now, Agri-Environment Schemes (AES) seem to only have had limited success in preserving biodiversity and providing environmental benefits due, among other, to farmer-related factors. This paper systematically reviews and quantifies, for the first time, the body of evidence that explores these factors with respect to their influence on land managers’ willingness to accept (WTA) compensation for the delivery of biodiversity and environmental features’ protection. Our analysis shows a complex and nuanced picture. Farmers appear generally willing to enrol in AES, with average payment per hectare being around 327 Euros. However, the current evidence base provides few clues on how best that willingness is matched by contract design formats and features more generally. Providing support to farmers and exploring new ways of monitoring compliance emerge as issues worth considering as means of determining compensation in AES. Further, the broader evidence base seems to suggest that wealthier land managers stand to gain more than less wealthy in enroling in AES. However, this alone seems, in the overall, like a quite modest contribution from the body of evidence to inform policy design more broadly. It indeed does seem that we (academia and/or policy) are not yet hitting the right key on how to best match farmers preferences for enroling in AES for the delivery of biodiversity/environmental features A significant leap forward would not simply require an increased quantity of primary studies, but a deeper reflexion on how the complexity of farmers’ preferences is best captured in the design of policy instruments that have to both share common features while being adaptable to context dependent characteristics at the landscape level. This is more pressing than ever face to the unprecedented challenges of Brexit and the COVID19-induced economic recession, which is going to put every cent of public funding under the hardest of scrutinies in the years to come.