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DOI10.1007/s10584-019-02544-0
Linking scales and disciplines: an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management
Berger C.; Bieri M.; Bradshaw K.; Brümmer C.; Clemen T.; Hickler T.; Kutsch W.L.; Lenfers U.A.; Martens C.; Midgley G.F.; Mukwashi K.; Odipo V.; Scheiter S.; Schmullius C.; Baade J.; du Toit J.C.O.; Scholes R.J.; Smit I.P.J.; Stevens N.; Twine W.
发表日期2019
ISSN0165-0009
起始页码139
结束页码150
卷号156期号:2020-01-02
英文摘要Southern Africa is particularly sensitive to climate change, due to both ecological and socio-economic factors, with rural land users among the most vulnerable groups. The provision of information to support climate-relevant decision-making requires an understanding of the projected impacts of change and complex feedbacks within the local ecosystems, as well as local demands on ecosystem services. In this paper, we address the limitation of current approaches for developing management relevant socio-ecological information on the projected impacts of climate change and human activities. We emphasise the need for linking disciplines and approaches by expounding the methodology followed in our two consecutive projects. These projects combine disciplines and levels of measurements from the leaf level (ecophysiology) to the local landscape level (flux measurements) and from the local household level (socio-economic surveys) to the regional level (remote sensing), feeding into a variety of models at multiple scales. Interdisciplinary, multi-scaled, and integrated socio-ecological approaches, as proposed here, are needed to compliment reductionist and linear, scale-specific approaches. Decision support systems are used to integrate and communicate the data and models to the local decision-makers. © 2019, The Author(s).
语种英语
scopus关键词Artificial intelligence; Decision making; Decision support systems; Ecosystems; Land use; Remote sensing; Surveys; Ecosystem management; Ecosystem services; Flux measurements; Human activities; Regional levels; Socio-ecological; Socio-economic factor; Vulnerable groups; Climate change; climate change; climate effect; decision making; ecosystem management; human activity; interdisciplinary approach; rural area; Southern Africa
来源期刊Climatic Change
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/147403
作者单位Department for Earth Observation, Friedrich Schiller University Jena, Löbdergraben 32, Jena, 07743, Germany; Thünen Institute of Climate-Smart Agriculture, Bundesallee 68, Braunschweig, 38116, Germany; Department of Computer Science, Rhodes University, Grahamstown, 6140, South Africa; Department of Computer Science, Hamburg University of Applied Sciences, Berliner Tor 7, Hamburg, 20099, Germany; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, Frankfurt am Main, 60325, Germany; Institute of Physical Geography, Goethe-University Frankfurt am Main, Altenhöferallee 1, Frankfurt am Main, 60438, Germany; Integrated Carbon Observation System, European Research Infrastructure Consortium (ICOS ERIC), Head Office, Erik-Palménin-Aukio 1, Helsinki, 00560, Finland; Department of Botany and Zoology, Stellenbosch University, Stellenbosch, 7600, South Africa; Department of Geography, Friedrich Schiller University Jena, Löbdergraben 32, Jena, 07743, Germany; Grootfontein Agriculture De...
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Berger C.,Bieri M.,Bradshaw K.,et al. Linking scales and disciplines: an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management[J],2019,156(2020-01-02).
APA Berger C..,Bieri M..,Bradshaw K..,Brümmer C..,Clemen T..,...&Twine W..(2019).Linking scales and disciplines: an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management.Climatic Change,156(2020-01-02).
MLA Berger C.,et al."Linking scales and disciplines: an interdisciplinary cross-scale approach to supporting climate-relevant ecosystem management".Climatic Change 156.2020-01-02(2019).
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