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  A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events

van Oijen, M., Beer, C., Cramer, W., Rammig, A., Reichstein, M., Rolinski, S., et al. (2013). A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events. Environmental Research Letters, 8(1): 015032. doi:10.1088/1748-9326/8/1/015032.

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BGC1939.pdf (Publisher version), 965KB
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http://dx.doi.org/10.1088/1748-9326/8/1/015032 (Publisher version)
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 Creators:
van Oijen, Marcel, Author
Beer, Christian1, Author           
Cramer, Wolfgang, Author
Rammig, Anja, Author
Reichstein, Markus1, Author           
Rolinski, Susanne, Author
Soussana, Jean-Francois, Author
Affiliations:
1Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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Free keywords: Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences; carbon cycle; drought; uncertainty; vulnerability;
 Abstract: 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.

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 Dates: 20132013-03-12
 Publication Status: Published online
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000316998300095
DOI: 10.1088/1748-9326/8/1/015032
Other: BGC1939
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Title: Environmental Research Letters
  Abbreviation : Environ. Res. Lett.
Source Genre: Journal
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Publ. Info: Bristol : Institute of Physics
Pages: - Volume / Issue: 8 (1) Sequence Number: 015032 Start / End Page: - Identifier: ISSN: 1748-9326
CoNE: https://pure.mpg.de/cone/journals/resource/1748-9326