A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events
van Oijen, Marcel; Beer, Christian; Cramer, Wolfgang; Rammig, Anja; Reichstein, Markus; Rolinski, Susanne; Soussana, Jean-Francois. 2013 A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events. Environmental Research Letters, 8 (1), 015032. 7, pp. https://doi.org/10.1088/1748-9326/8/1/015032
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Abstract/Summary
We present a simple method of probabilistic risk analysis for ecosystems. The only requirements are time series — modelled or measured — of environment and ecosystem variables. Risk is defined as the product of hazard probability and ecosystem vulnerability. Vulnerability is the expected difference in ecosystem performance between years with and without hazardous conditions. We show an application to drought risk for net primary productivity of coniferous forests across Europe, for both recent and future climatic conditions.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1088/1748-9326/8/1/015032 |
Programmes: | CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.4 - Develop model frameworks to predict future impact of environmental drivers ... CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 3 - Managing Threats to Environment and Health > BGC - 3.1 - Develop temporally and spatially explicit risk assessment tools ... |
UKCEH and CEH Sections/Science Areas: | Billett (to November 2013) |
ISSN: | 1748-9326 |
Additional Information. Not used in RCUK Gateway to Research.: | Open Access paper - Official URL link provides full text |
Additional Keywords: | carbon cycle, drought, uncertainty, vulnerability |
NORA Subject Terms: | Earth Sciences Ecology and Environment |
Date made live: | 15 Mar 2013 16:47 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/500368 |
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