La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ?
The development of approaches to quantify and spatialize ecosystem services (ES) are greatly encouraged by the Millenium Ecosystem Assessment (MEA) and the REDD (Reducing Emissions from Deforestation and forest Degradation). Such approaches could allow the establishment of more appropriate and effec...
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2016-02-01
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| Online Access: | https://journals.openedition.org/confins/10670 |
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| author | Solen Le Clec'h Johan Oszwald Simon Dufour Thierry Desjardins Nicolas Jegou Michel Grimaldi |
| author_facet | Solen Le Clec'h Johan Oszwald Simon Dufour Thierry Desjardins Nicolas Jegou Michel Grimaldi |
| author_sort | Solen Le Clec'h |
| collection | DOAJ |
| description | The development of approaches to quantify and spatialize ecosystem services (ES) are greatly encouraged by the Millenium Ecosystem Assessment (MEA) and the REDD (Reducing Emissions from Deforestation and forest Degradation). Such approaches could allow the establishment of more appropriate and effective practices and policies for environmental management. Mapping of ES can be seen as a major management tool for places with high environmental issues. A study is conducted at the scale of three areas in the Brazilian Amazon affected by the deforestation front. Two biophysical processes delivering ES, water infiltration in soil and carbon storage in vegetation, were mapped with a spatial resolution of 30 x 30 m. Statistical models were developed in aim to link field measurements of biomass and infiltration rate in 135 sampling points and remote sensing data. These models provide an estimation of the processes for the sites and able us to identify the factors that influence them. The resulting maps facilitate the understanding of the spatial distribution of these processes and can be used as a basis to map and/or study trade-offs and synergies between the ES. |
| format | Article |
| id | doaj-art-b45995ee040e4159951577198fd0e503 |
| institution | Kabale University |
| issn | 1958-9212 |
| language | English |
| publishDate | 2016-02-01 |
| publisher | Confins |
| record_format | Article |
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| spelling | doaj-art-b45995ee040e4159951577198fd0e5032025-01-13T15:55:52ZengConfinsConfins1958-92122016-02-012610.4000/confins.10670La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ?Solen Le Clec'hJohan OszwaldSimon DufourThierry DesjardinsNicolas JegouMichel GrimaldiThe development of approaches to quantify and spatialize ecosystem services (ES) are greatly encouraged by the Millenium Ecosystem Assessment (MEA) and the REDD (Reducing Emissions from Deforestation and forest Degradation). Such approaches could allow the establishment of more appropriate and effective practices and policies for environmental management. Mapping of ES can be seen as a major management tool for places with high environmental issues. A study is conducted at the scale of three areas in the Brazilian Amazon affected by the deforestation front. Two biophysical processes delivering ES, water infiltration in soil and carbon storage in vegetation, were mapped with a spatial resolution of 30 x 30 m. Statistical models were developed in aim to link field measurements of biomass and infiltration rate in 135 sampling points and remote sensing data. These models provide an estimation of the processes for the sites and able us to identify the factors that influence them. The resulting maps facilitate the understanding of the spatial distribution of these processes and can be used as a basis to map and/or study trade-offs and synergies between the ES.https://journals.openedition.org/confins/10670deforestationecosystem servicephysical processmappingstatistical modelBrazilian Amazonia |
| spellingShingle | Solen Le Clec'h Johan Oszwald Simon Dufour Thierry Desjardins Nicolas Jegou Michel Grimaldi La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? Confins deforestation ecosystem service physical process mapping statistical model Brazilian Amazonia |
| title | La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? |
| title_full | La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? |
| title_fullStr | La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? |
| title_full_unstemmed | La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? |
| title_short | La spatialisation de Services Ecosystémiques à l'échelle locale dans un contexte de déforestation : quelles approches statistiques et quelles données ? |
| title_sort | la spatialisation de services ecosystemiques a l echelle locale dans un contexte de deforestation quelles approches statistiques et quelles donnees |
| topic | deforestation ecosystem service physical process mapping statistical model Brazilian Amazonia |
| url | https://journals.openedition.org/confins/10670 |
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