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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Vulnerabilidad de los bosques españoles frente al Cambio Climático: evaluación mediante modelos
Author(s): Ruiz-Benito, Paloma
Herrero, Asier
Zavala, Miguel A
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Keywords: adaptation capacity
ecosystem functioning
exposition, sensibility
Issue Date: Dec-2013
Date Deposited: 9-Jan-2014
Citation: Ruiz-Benito P, Herrero A & Zavala MA (2013) Vulnerabilidad de los bosques españoles frente al Cambio Climático: evaluación mediante modelos. Ecosistemas, 22 (3), pp. 21-28.
Abstract: Forest ecosystems contribute to human well-being providing critical ecosystem services. Global change (including climate and land-use changes), however, can alter ecosystem functioning and structure, even jeopardizing the future supply of ecosystem services. Vulnerability to global change depends on exposition (magnitude of the change), sensitivity (susceptibility to the change), and adaptive capacity (ability to adjust to the change) of the species. Here, we summarize diverse modeling approaches to analyze the different components of vulnerability, providing specific examples focused on Iberian forests. Despite of these advances, our empirical and theoretical ability to provide integrated assessments of potential impacts (i.e. including both exposition and sensitivity) of climate change and adaptive capacity is still very limited. An adequate estimation of vulnerability requires improving our knowledge about the adaptive capacity of species and their response to extreme environmental changes (e.g. through long-term monitoring networks), as well as integrating the knowledge obtained from models developed at different levels of biological organization, from physiological process-based models to aggregated species distribution models.
DOI Link: 10.7818/ECOS.2013.22-3.04
Rights: Publisher is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.

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