Assessing and predicting responses of biological diversity to global environmental change and the effects of such responses on human well-being are high-priority targets for the scientific, management and policy communities (Pereira et al. 2013; Dirzo et al. 2014). These assessments and predictions are essential inputs to inform interna- tional initiatives such as the Convention on Biological Diversity and the Intergovernmental Science Policy Plat- form on Biodiversity and Ecosystem Services (Collen et al. 2013), being fundamental to defining and optimiz- ing adaptation and mitigation strategies. To rise to the challenges posed by global environmental change, in par- ticular, the research, management and policy communi- ties need access to standardised information on changes in the distribution of biodiversity and in the intensity of human activities; these communities also need to know whether management actions are effective (Sutherland et al. 2004; Brooks et al. 2014; Pettorelli et al. 2014a).

A new platform to support research at the interface of remote sensing, ecology and conservation

Rocchini D.;
2015

Abstract

Assessing and predicting responses of biological diversity to global environmental change and the effects of such responses on human well-being are high-priority targets for the scientific, management and policy communities (Pereira et al. 2013; Dirzo et al. 2014). These assessments and predictions are essential inputs to inform interna- tional initiatives such as the Convention on Biological Diversity and the Intergovernmental Science Policy Plat- form on Biodiversity and Ecosystem Services (Collen et al. 2013), being fundamental to defining and optimiz- ing adaptation and mitigation strategies. To rise to the challenges posed by global environmental change, in par- ticular, the research, management and policy communi- ties need access to standardised information on changes in the distribution of biodiversity and in the intensity of human activities; these communities also need to know whether management actions are effective (Sutherland et al. 2004; Brooks et al. 2014; Pettorelli et al. 2014a).
Pettorelli N.; Nagendra H.; Williams R.; Rocchini D.; Fleishman E.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/722476
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