Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
2020
Randin, Christophe | Ashcroft, Michael, B | Bolliger, Janine | Cavender-Bares, Jeannine | Coops, Nicholas | Dullinger, Stefan | Dirnböck, Thomas | Eckert, Sandra | Ellis, Erle | Fernández, Néstor | Giuliani, Grégory | Guisan, Antoine | Jetz, Walter | Joost, Stéphane | Karger, Dirk, N | Lembrechts, Jonas | Lenoir, Jonathan | Luoto, Miska | Morin, Xavier | Price, Bronwyn | Rocchini, Duccio | Schaepman, Michael | Schmid, Bernhard | Verburg, Peter | Wilson, Adam | Woodcock, Paul | Yoccoz, Nigel | Payne, Davnah | Université de Lausanne = University of Lausanne (UNIL) | University of Wollongong [Australia] | Swiss Federal Institute for Forest, Snow and Landscape Research WSL | University of Minnesota System (UMN) | University of British Columbia [Canada] (UBC) | Universität Wien = University of Vienna | Umweltbundesamt GmbH = Environment Agency Austria | Centre for Development and Environment [Bern] (CDE) ; Universität Bern = University of Bern = Université de Berne (UNIBE) | University of Maryland [Baltimore County] (UMBC) ; University System of Maryland | German Centre for Integrative Biodiversity Research (iDiv) | Martin-Luther-Universität Halle Wittenberg - Martin-Luther-University Halle Wittenberg (MLU) | Institute for Environmental Sciences [Geneva] (ISE) ; Université de Genève = University of Geneva (UNIGE) | Yale University [New Haven] | Laboratoire des Systèmes d'Information Géographique [Lausanne] (LASIG) ; Ecole Polytechnique Fédérale de Lausanne (EPFL) | Universiteit Antwerpen = University of Antwerp | Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 UPJV (EDYSAN) ; Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS) | Helsingin yliopisto = Helsingfors universitet = University of Helsinki | Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) ; Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Università degli Studi di Trento = University of Trento (UNITN) | Department of Geography [Zürich] ; Universität Zürich [Zürich] = University of Zurich (UZH) | Department of Evolutionary Biology and Environmental Studies (IEU) ; Universität Zürich [Zürich] = University of Zurich (UZH) | Vrije Universiteit Amsterdam [Amsterdam] (VU) | State University of New York at Buffalo (SUNY) | Joint Nature Conservation Committee | The Arctic University of Norway [Tromsø, Norway] (UiT) | Institute of Plant Sciences ; Universität Bern = University of Bern = Université de Berne (UNIBE) | We thank the European Space Agency, Future Earth, the Swiss National Science Foundation (grant IZSEZ0_178727), and the University of Zurich for financially supporting the workshop that led to this paper.
International audience
Mostrar más [+] Menos [-]Inglés. In the face of the growing challenges brought about by human activities, effective planning and decision-making in biodiversity and ecosystem conservation, restoration, and sustainable development are urgently needed. Ecological models can play a key role in supporting this need and helping to safeguard the natural assets that underpin human wellbeing and support life on land and below water (United Nations Sustainable Development Goals; SDG 15 & 14). The urgency and complexity of safeguarding forest (SDG 15.2) and mountain ecosystems (SDG 15.4), for example, and halting decline in biodiversity (SDG 15.5) in the Anthropocene requires a re-envisioning of how ecological models can best support the comprehensive assessments of biodiversity and its change that are required for successful action. A key opportunity to advance ecological modeling for both predictive and explanatory purposes arises through a collaboration between ecologists and the Earth observation community, and a close integration of remote sensing and species distribution models. Remote sensing products have the capacity to provide continuous spatiotemporal information about key factors driving the distribution of organisms, therefore improving both the use and accuracy of these models for management and planning. Here we first survey the literature on remote sensing data products available to ecological modelers interested in improving predictions of species range dynamics under global change. We specifically explore the key biophysical processes underlying the distribution of species in the Anthropocene including climate variability, changes in land cover, and disturbances. We then discuss potential synergies between the ecological modeling and remote sensing communities, and highlight opportunities to close the data and conceptual gaps that currently impede a more effective application of remote sensing for the monitoring and modeling of ecological systems. Specific attention is given to how potential collaborations between the two communities could lead to new opportunities to report on progress towards global agendas - such as the Agenda 2030 for sustainable development of the United Nations or the Post-2020 Global Biodiversity Framework of the Convention for Biological Diversity, and help guide conservation and management strategies towards sustainability.
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Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Institut national de la recherche agronomique