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Improving biodiversity monitoring using satellite remote sensing to provide solutions towards the 2020 conservation targets

Authors :
Sandra Luque
Petteri Vihervaara
Martin Wegmann
Nathalie Pettorelli
Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)
INSTITUTE OF ZOOLOGY LONDON GBR
Partenaires IRSTEA
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
FINNISH ENVIRONMENT INSTITUTE HELSINKI FIN
University of Würzburg = Universität Würzburg
Source :
Methods in Ecology and Evolution, Methods in Ecology and Evolution, Wiley, 2018, 9 (8), pp.1784-1786. ⟨10.1111/2041-210x.13057⟩
Publication Year :
2018
Publisher :
Wiley, 2018.

Abstract

International audience; This is an introduction to the issue: Special feature: improving biodiversity monitoring using satellite remote sensing. The preservation of biodiversity has become a major challenge for sustainable development at national, European (Natura 2000 and Habitats Directive) and international levels (Convention on Biological Diversity, 2011-2020). To address the current conservation needs, there is a need to operationalise methods to assess the distribution of natural resources while integrating information on habitat condition; inform conservation planning and support the assessment of ecosystem services. Increased access to satellite imagery and new developments in data analyses can support progress towards biodiversity conservation targets by stepping up monitoring processes at various spatial and temporal scales. Satellite remote sensing is however no panacea, and little can be achieved without a robust understanding of the socio‐ecological system considered. We aim to demonstrate how the coupling of satellite remote sensing data with ground observations and adequate modelling can provide tangible operational solutions towards a better understanding and management of natural systems.

Details

ISSN :
2041210X
Volume :
9
Database :
OpenAIRE
Journal :
Methods in Ecology and Evolution
Accession number :
edsair.doi.dedup.....970e46d90ebb58bbc872314b34fd53e9