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DOI10.1016/j.rse.2020.111671
Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales
Mulligan M.; van Soesbergen A.; Hole D.G.; Brooks T.M.; Burke S.; Hutton J.
发表日期2020
ISSN00344257
卷号239
英文摘要The natural world has multiple, sometimes conflicting, sometimes synergistic, values to society when viewed through the lens of the Sustainable Development Goals (SDGs), Spatial mapping of nature's contributions to the SDGs has the potential to support the implementation of SDG strategies through sustainable land management and conservation of ecosystem services. Such mapping requires a range of spatial data. This paper examines the use of remote sensing and spatial ecosystem service modelling to examine nature's contribution to targets under SDG 6, also highlighting synergies with other key SDGs and trade-offs with agriculture. We use a wide range of remotely sensed and globally available datasets (for land cover, climate, soil, population, agriculture) alongside the existing and widely used spatial ecosystem services assessment tool, Co$tingNature. With these we identify priority areas for sustainable management to realise targets under SDG 6 (water) at the country scale for Madagascar and at the basin scale for the Volta basin, though the application developed can be applied to any country or major basin in the world. Within this SDG 6 priority areas footprint, we assess the synergies and trade-offs provided by this land for SDG 15 (biodiversity) and SDG 13 (climate action) as well as SDG 2 (zero hunger). Results highlight the co-benefits of sustainably managing nature's contribution to SDG 6, such as the protection of forest cover (for SDG target 15.2), carbon storage as a contribution to the Paris climate agreement and nationally determined contributions (SDG 13) and biodiversity (for SDG target 15.5) but also trade-offs with the zero hunger goal (for SDG 2). Such analyses allow for better understanding of land management requirements for realising multiple SDGs through protection and restoration of green infrastructure. We provide a freely available tool, within the Co$tingNature platform, based on a variety of remotely sensed products, that can be used by SDG practitioners to carry out similar analyses and inform decision-making at national or sub-national levels globally. © 2020 Elsevier Inc.
英文关键词Co$tingNature; Conservation planning; Earth observation; Opportunity cost; SDGs; Trade-off; Water
语种英语
scopus关键词Agriculture; Biodiversity; Conservation; Decision making; Digital storage; Economic and social effects; Land use; Mapping; Planning; Remote sensing; Sustainable development; Water; Conservation planning; Earth observations; Opportunity costs; SDGs; Trade off; Ecosystems; conservation planning; data set; decision making; ecosystem service; forest cover; land management; remote sensing; sustainable development; Madagascar; Volta Basin
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/179443
作者单位Department of Geography, King's College London, Bush House (NE) 4.01, 40 Aldwych, London, WC2B 4BG, United Kingdom; UN Environment World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge, CB3 0DL, United Kingdom; Betty & Gordon Moore Center for Science, Conservation International, 2011 Crystal Drive Suite 500, Arlington, VA 22202, United States; International Union for Conservation of Nature (IUCN), 28 Rue Maeverney, Gland, CH-1196, Switzerland; AmbioTEK Community Interest Company, Leigh on Sea, Essex, United Kingdom; Luc Hoffmann Institute, Rue Mauverney 28, Gland, 1196, Switzerland
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Mulligan M.,van Soesbergen A.,Hole D.G.,et al. Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales[J],2020,239.
APA Mulligan M.,van Soesbergen A.,Hole D.G.,Brooks T.M.,Burke S.,&Hutton J..(2020).Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales.Remote Sensing of Environment,239.
MLA Mulligan M.,et al."Mapping nature's contribution to SDG 6 and implications for other SDGs at policy relevant scales".Remote Sensing of Environment 239(2020).
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