气候变化领域集成服务门户(CCPortal): Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

CCPortal

DOI	10.1016/j.rse.2019.111626
	Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
	Randin C.F.; Ashcroft M.B.; Bolliger J.; Cavender-Bares J.; Coops N.C.; Dullinger S.; Dirnböck T.; Eckert S.; Ellis E.; Fernández N.; Giuliani G.; Guisan A.; Jetz W.; Joost S.; Karger D.; Lembrechts J.; Lenoir J.; Luoto M.; Morin X.; Price B.; Rocchini D.; Schaepman M.; Schmid B.; Verburg P.; Wilson A.; Woodcock P.; Yoccoz N.; Payne D.
发表日期	2020
ISSN	00344257
卷号	239
英文摘要	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. © 2020 Elsevier Inc.
英文关键词	Anthropocene; Monitoring; Remote sensing; Species distribution models; Sustainable development; Terrestrial ecosystems
语种	英语
scopus关键词	Biodiversity; Decision making; Ecosystems; Monitoring; Planning; Population distribution; Sustainable development; Anthropocene; Comprehensive assessment; Ecological modeling; Management strategies; Remote sensing data; Spatiotemporal information; Species distribution models; Terrestrial ecosystems; Remote sensing; Anthropocene; anthropogenic effect; biodiversity; ecological modeling; environmental monitoring; mountain environment; remote sensing; sustainable development; terrestrial ecosystem
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179455
作者单位	Dept. of Ecology and Evolution (DEE), University of Lausanne, Biophore, Lausanne, CH-1015, Switzerland; Centre Alpien de Phytogéographie (CAP), Route de l'Adray 27, Champex-Lac, CH-1938, Switzerland; Interdisciplinary Centre for Mountain Research (ICMR), University of Lausanne, Case postale 4176, Sion 4, CH-1950, Switzerland; Centre for Sustainable Ecosystem Solutions, University of WollongongNSW 2522, Australia; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, 8903, Switzerland; University of Minnesota, Department of Ecology, Evolution and Behavior, 1475 Gortner Ave, Saint Paul, MN 55108, United States; University of British Columbia, Department of Forest Resource Management, 2424 Main Mall, Vancouver, BC, Canada; University of Vienna, Division of Conservation Biology, Vegetation Ecology and Landscape Ecology, Department of Botany & Biodiversity Research, Rennweg 14, Vienna, 1030, Austria; Department for Ecosystem Research and Environmental Informati...
推荐引用方式 GB/T 7714	Randin C.F.,Ashcroft M.B.,Bolliger J.,et al. Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models[J],2020,239.
APA	Randin C.F..,Ashcroft M.B..,Bolliger J..,Cavender-Bares J..,Coops N.C..,...&Payne D..(2020).Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models.Remote Sensing of Environment,239.
MLA	Randin C.F.,et al."Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models".Remote Sensing of Environment 239(2020).