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      Predicted wind and solar energy expansion has minimal overlap with multiple conservation priorities across global regions

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          Significance

          Conservation scientists warn of the threat to area-based conservation posed by renewable energy infrastructure. Here, we show that the current and near-term overlap of the two land uses need not be as severe as previously suggested. This is important, as global efforts to decarbonize energy systems are central to mitigating against climate change and the strong negative impacts of projected climate change on biodiversity.

          Abstract

          Protected areas and renewable energy generation are critical tools to combat biodiversity loss and climate change, respectively. Over the coming decades, expansion of the protected area network to meet conservation objectives will be occurring alongside rapid deployment of renewable energy infrastructure to meet climate targets, driving potential conflict for a finite land resource. Renewable energy infrastructure can have negative effects on wildlife, and co-occurrence may mean emissions targets are met at the expense of conservation objectives. Here, we assess current and projected overlaps of wind and solar photovoltaic installations and important conservation areas across nine global regions using spatially explicit wind and solar data and methods for predicting future renewable expansion. We show similar levels of co-occurrence as previous studies but demonstrate that once area is accounted for, previous concerns about overlaps in the Northern Hemisphere may be largely unfounded, although they are high in some biodiverse countries (e.g., Brazil). Future projections of overlap between the two land uses presented here are generally dependent on priority threshold and region and suggest the risk of future conflict can be low. We use the best available data on protected area degradation to corroborate this level of risk. Together, our findings indicate that while conflicts between renewables and protected areas inevitably do occur, renewables represent an important option for decarbonization of the energy sector that would not significantly affect area-based conservation targets if deployed with appropriate policy and regulatory controls.

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          Novel methods improve prediction of species’ distributions from occurrence data

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            A simulation study of the number of events per variable in logistic regression analysis

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              Selecting pseudo-absences for species distribution models: how, where and how many?

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                31 January 2022
                8 February 2022
                31 January 2022
                : 119
                : 6
                : e2104764119
                Affiliations
                [1] aGeography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton , Southampton SO17 1BJ, United Kingdom;
                [2] bBiological Sciences, Faculty of Environmental and Life Sciences, University of Southampton , Southampton SO17 1BJ, United Kingdom;
                [3] cPlant Sciences, University of California , Davis, CA 95616
                Author notes
                1To whom correspondence may be addressed. Email: sebdunnett@ 123456gmail.com .

                Edited by Monica Turner, Department of Integrative Biology, University of Wisconsin, Madison, WI; received March 11, 2021; accepted November 29, 2021

                Author contributions: S.D. and F.E. designed research; S.D. performed research; R.A.H. and F.E. contributed new reagents/analytic tools; S.D. analyzed data; S.D. wrote the paper; R.A.H., G.T., and F.E. contributed revisions to the manuscript; and R.A.H., G.T., and F.E. wrote the grant application that funded the work.

                Author information
                https://orcid.org/0000-0002-4238-2508
                https://orcid.org/0000-0002-3038-9227
                https://orcid.org/0000-0001-8470-6390
                https://orcid.org/0000-0001-8982-824X
                Article
                202104764
                10.1073/pnas.2104764119
                8832964
                35101973
                f34d27fa-e8b1-4638-bb00-6d09f75fe57b
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 29 November 2021
                Page count
                Pages: 9
                Funding
                Funded by: RCUK | Natural Environment Research Council (NERC) 501100000270
                Award ID: NE/M019640/1
                Award Recipient : Sebastian Dunnett Award Recipient : Robert A. Holland Award Recipient : Gail Taylor Award Recipient : Felix Eigenbrod
                Categories
                417
                Biological Sciences
                Environmental Sciences
                From the Cover

                renewable,energy,biodiversity,conservation
                renewable, energy, biodiversity, conservation

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