@article{fdi:010072453,
  title = {{F}rom field data to ecosystem services maps : using regressions for the case of deforested areas within the {A}mazon},
  author = {{L}e {C}lec'h, {S}. and {J}egou, {N}. and {D}ecaens, {T}. and {D}ufour, {S}. and {G}rimaldi, {M}ichel and {O}szwald, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{Q}uantifying and mapping ecosystem services ({ES}) is seen as one way to improve decision making and land management to better integrate environmental issues. {T}his study aimed to characterize {ES} supply in deforestation context where an improvement of scientific knowledge should help develop more efficient environmental management. {F}or three case studies in the {B}razilian {A}mazon impacted by deforestation, seven indicators of potential {ES} supply were mapped at a spatial resolution of 30 x 30 m: biodiversity index (indicator of food web support); richness of pollinators (pollination); index of soil chemical quality (support to production); water available for plants (water regulation); soil carbon stocks (support to production and climate regulation); rate of water infiltration into the soil (soil erosion control); and vegetation carbon stocks (climate regulation). {T}o map these indicators, in situ measurements of {ES} for 135 sampling points and remote sensing data were linked using regression methods. {T}hese methods were used to predict {ES} values and identify environmental factors that influence {ES} supply. {T}he resulting maps help in understanding the influence of environmental factors on {ES} spatial distribution within the sites. {T}he analyses illustrate the influence of land-use changes on {ES} supply and the role of context effects due to the heterogeneity of the biophysical environment, the temporality of deforestation and/or their diversified sociopolitical contexts. {F}rom a methodological viewpoint, the study highlights the importance of choices inherent in all cartographic practices and that need to be considered, especially in the context of rendering {ES} maps operational.},
  keywords = {ecosystem service indicators ; biophysical processes ; statistical model ; regression ; remote sensing ; land cover ; deforestation ; {B}razilian {A}mazon ; {BRESIL} ; {AMAZONIE}},
  booktitle = {},
  journal = {{E}cosystems},
  volume = {21},
  numero = {2},
  pages = {216--236},
  ISSN = {1432-9840},
  year = {2018},
  DOI = {10.1007/s10021-017-0145-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072453},
}