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Projecting terrestrial biodiversity intactness with GLOBIO 4

Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the s...

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Autores principales: Schipper, Aafke M., Hilbers, Jelle P., Meijer, Johan R., Antão, Laura H., Benítez‐López, Ana, de Jonge, Melinda M. J., Leemans, Luuk H., Scheper, Eddy, Alkemade, Rob, Doelman, Jonathan C., Mylius, Sido, Stehfest, Elke, van Vuuren, Detlef P., van Zeist, Willem‐Jan, Huijbregts, Mark A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028079/
https://www.ncbi.nlm.nih.gov/pubmed/31680366
http://dx.doi.org/10.1111/gcb.14848
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author Schipper, Aafke M.
Hilbers, Jelle P.
Meijer, Johan R.
Antão, Laura H.
Benítez‐López, Ana
de Jonge, Melinda M. J.
Leemans, Luuk H.
Scheper, Eddy
Alkemade, Rob
Doelman, Jonathan C.
Mylius, Sido
Stehfest, Elke
van Vuuren, Detlef P.
van Zeist, Willem‐Jan
Huijbregts, Mark A. J.
author_facet Schipper, Aafke M.
Hilbers, Jelle P.
Meijer, Johan R.
Antão, Laura H.
Benítez‐López, Ana
de Jonge, Melinda M. J.
Leemans, Luuk H.
Scheper, Eddy
Alkemade, Rob
Doelman, Jonathan C.
Mylius, Sido
Stehfest, Elke
van Vuuren, Detlef P.
van Zeist, Willem‐Jan
Huijbregts, Mark A. J.
author_sort Schipper, Aafke M.
collection PubMed
description Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio‐economic pathways (SSPs) combined with different levels of climate change (according to representative concentration pathways [RCPs]): a future oriented towards sustainability (SSP1xRCP2.6), a future determined by a politically divided world (SSP3xRCP6.0) and a future with continued global dependency on fossil fuels (SSP5xRCP8.5). To this end, we first updated the GLOBIO model, which now runs at a spatial resolution of 10 arc‐seconds (~300 m), contains new modules for downscaling land use and for quantifying impacts of hunting in the tropics, and updated modules to quantify impacts of climate change, land use, habitat fragmentation and nitrogen pollution. We then used the updated model to project terrestrial biodiversity intactness from 2015 to 2050 as a function of land use and climate changes corresponding with the selected scenarios. We estimated a global area‐weighted mean MSA of 0.56 for 2015. Biodiversity intactness declined in all three scenarios, yet the decline was smaller in the sustainability scenario (−0.02) than the regional rivalry and fossil‐fuelled development scenarios (−0.06 and −0.05 respectively). We further found considerable variation in projected biodiversity change among different world regions, with large future losses particularly for sub‐Saharan Africa. In some scenario‐region combinations, we projected future biodiversity recovery due to reduced demands for agricultural land, yet this recovery was counteracted by increased impacts of other pressures (notably climate change and road disturbance). Effective measures to halt or reverse the decline of terrestrial biodiversity should not only reduce land demand (e.g. by increasing agricultural productivity and dietary changes) but also focus on reducing or mitigating the impacts of other pressures.
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spelling pubmed-70280792020-02-25 Projecting terrestrial biodiversity intactness with GLOBIO 4 Schipper, Aafke M. Hilbers, Jelle P. Meijer, Johan R. Antão, Laura H. Benítez‐López, Ana de Jonge, Melinda M. J. Leemans, Luuk H. Scheper, Eddy Alkemade, Rob Doelman, Jonathan C. Mylius, Sido Stehfest, Elke van Vuuren, Detlef P. van Zeist, Willem‐Jan Huijbregts, Mark A. J. Glob Chang Biol Primary Research Articles Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio‐economic pathways (SSPs) combined with different levels of climate change (according to representative concentration pathways [RCPs]): a future oriented towards sustainability (SSP1xRCP2.6), a future determined by a politically divided world (SSP3xRCP6.0) and a future with continued global dependency on fossil fuels (SSP5xRCP8.5). To this end, we first updated the GLOBIO model, which now runs at a spatial resolution of 10 arc‐seconds (~300 m), contains new modules for downscaling land use and for quantifying impacts of hunting in the tropics, and updated modules to quantify impacts of climate change, land use, habitat fragmentation and nitrogen pollution. We then used the updated model to project terrestrial biodiversity intactness from 2015 to 2050 as a function of land use and climate changes corresponding with the selected scenarios. We estimated a global area‐weighted mean MSA of 0.56 for 2015. Biodiversity intactness declined in all three scenarios, yet the decline was smaller in the sustainability scenario (−0.02) than the regional rivalry and fossil‐fuelled development scenarios (−0.06 and −0.05 respectively). We further found considerable variation in projected biodiversity change among different world regions, with large future losses particularly for sub‐Saharan Africa. In some scenario‐region combinations, we projected future biodiversity recovery due to reduced demands for agricultural land, yet this recovery was counteracted by increased impacts of other pressures (notably climate change and road disturbance). Effective measures to halt or reverse the decline of terrestrial biodiversity should not only reduce land demand (e.g. by increasing agricultural productivity and dietary changes) but also focus on reducing or mitigating the impacts of other pressures. John Wiley and Sons Inc. 2019-11-03 2020-02 /pmc/articles/PMC7028079/ /pubmed/31680366 http://dx.doi.org/10.1111/gcb.14848 Text en © 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Primary Research Articles
Schipper, Aafke M.
Hilbers, Jelle P.
Meijer, Johan R.
Antão, Laura H.
Benítez‐López, Ana
de Jonge, Melinda M. J.
Leemans, Luuk H.
Scheper, Eddy
Alkemade, Rob
Doelman, Jonathan C.
Mylius, Sido
Stehfest, Elke
van Vuuren, Detlef P.
van Zeist, Willem‐Jan
Huijbregts, Mark A. J.
Projecting terrestrial biodiversity intactness with GLOBIO 4
title Projecting terrestrial biodiversity intactness with GLOBIO 4
title_full Projecting terrestrial biodiversity intactness with GLOBIO 4
title_fullStr Projecting terrestrial biodiversity intactness with GLOBIO 4
title_full_unstemmed Projecting terrestrial biodiversity intactness with GLOBIO 4
title_short Projecting terrestrial biodiversity intactness with GLOBIO 4
title_sort projecting terrestrial biodiversity intactness with globio 4
topic Primary Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028079/
https://www.ncbi.nlm.nih.gov/pubmed/31680366
http://dx.doi.org/10.1111/gcb.14848
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