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Combining correlative and mechanistic habitat suitability models to improve ecological compensation
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences. Centre de recherche de la Tour du Valat, France.
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2015 (English)In: Biological Reviews, ISSN 1464-7931, E-ISSN 1469-185X, Vol. 90, no 1, 314-329 p.Article in journal (Refereed) Published
Abstract [en]

Only a few studies have shown positive impacts of ecological compensation on species dynamics affected by human activities. We argue that this is due to inappropriate methods used to forecast required compensation in environmental impact assessments. These assessments are mostly descriptive and only valid at limited spatial and temporal scales. However, habitat suitability models developed to predict the impacts of environmental changes on potential species' distributions should provide rigorous science-based tools for compensation planning. Here we describe the two main classes of predictive models: correlative models and individual-based mechanistic models. We show how these models can be used alone or synoptically to improve compensation planning. While correlative models are easier to implement, they tend to ignore underlying ecological processes and lack accuracy. On the contrary, individual-based mechanistic models can integrate biological interactions, dispersal ability and adaptation. Moreover, among mechanistic models, those considering animal energy balance are particularly efficient at predicting the impact of foraging habitat loss. However, mechanistic models requiremore field data compared to correlative models. Hence we present two approaches which combine both methods for compensation planning, especially in relation to the spatial scale considered. We show how the availability of biological databases and software enabling fast and accurate population projections could be advantageously used to assess ecological compensation requirement efficiently in environmental impact assessments.

Place, publisher, year, edition, pages
2015. Vol. 90, no 1, 314-329 p.
Keyword [en]
animal spatial dynamics, biodiversity, compensation, conservation, energy expenditure, habitat loss, mitigation, offsets, stakeholders
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-114225DOI: 10.1111/brv.12111ISI: 000348415500019PubMedID: 24837691OAI: oai:DiVA.org:su-114225DiVA: diva2:796418
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AuthorCount:5;

Available from: 2015-03-19 Created: 2015-02-25 Last updated: 2017-12-04Bibliographically approved

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CiteExportLink to record
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