@article{fdi:010087605,
  title = {{E}ffect of spatial scale of soil data on estimates of soil ecosystem services : case study in 100 km(2) area in {F}rance},
  author = {{S}cammacca, {O}ttone and {S}auzet, {O}. and {M}ichelin, {J}. and {C}hoquet, {P}. and {G}arnier, {P}. and {G}abrielle, {B}. and {B}aveye, {P}. {C}. and {M}ontagne, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}ver the last decade, the ecosystem services ({ES}s) framework has been increasingly used to support mapping and assessment studies for sustainable land management purposes. {P}revious analysis of practical applications has revealed the significance of the spatial scale at which input data are obtained. {T}his issue is particularly problematic with soil data that are often unavailable or available only at coarse scales or resolutions in various part of the world. {I}n this context, four soil-based ecosystem services, namely biomass provision, water provision, global climate regulation, and water quality regulation, are assessed using three conventional soil maps at the 1:1,000,000, 1:250,000 and 1:50,000 scales. {T}he resulting individual and joint {ES} maps are then compared to examine the effects of changing the spatial scale of soil data on the {ES} levels and spatial patterns. {ES} levels are finally aggregated to landforms, land use, or administrative levels in order to try to identify the determinants of the sensitivity of {ES} levels to change in the scale of input soil data. {W}hereas the three soil maps turn out to be equally useful whenever {ES}s levels averaged over the whole 100 km(2) territory are needed, the maps at the 1:1,000,000 and 1:250,000 induced biases in the assessment of {ES}s levels over spatial units smaller than 100 and 10 km(2), respectively. {T}he simplification of the diversity and spatial distribution of soils at the two coarsest scales indeed resulted in local differences in {ES} levels ranging from several 10 to several 100%. {I}dentification of the optimal representation of soil diversity and distribution to obtain a reliable representation of {ES}s spatial distribution is not straightforward. {T}he {ES}s sensitivity to scale effect is indeed context-specific, variable among individual {ES}s, and not directly or simply linked with the soil typological diversity represented in soil maps. {F}orested and natural lands in the study area appear particularly sensitive to soil data scales as they occupy marginal soils showing very specific {ES}s signatures.},
  keywords = {ecosystem services ; mapping ; soil-based ecosystem services ; spatial ; scale ; {FRANCE}},
  booktitle = {},
  journal = {{E}uropean {J}ournal of {S}oil {S}cience},
  volume = {74},
  numero = {2},
  pages = {e13359 [19 p.]},
  ISSN = {1351-0754},
  year = {2023},
  DOI = {10.1111/ejss.13359},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087605},
}