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Improving biodiversity monitoring using satellite remote sensing to provide solutions towards the 2020 conservation targets
- 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.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Ecological Modeling
CONSERVATION
Biodiversity
15. Life on land
010603 evolutionary biology
01 natural sciences
Biodiversity Satellite Remote Sensing monitoring conservation spatio-temporal resolutions and scales
13. Climate action
Satellite remote sensing
[SDE]Environmental Sciences
11. Sustainability
Environmental science
14. Life underwater
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 2041210X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Methods in Ecology and Evolution
- Accession number :
- edsair.doi.dedup.....970e46d90ebb58bbc872314b34fd53e9