Mapping ecosystem services at the regional scale: the validity of an upscaling approach

Le Clec'h Solen, Sloan Sean, Gond Valéry, Cornu Guillaume, Decaëns Thibaud, Dufour Simon, Grimaldi Michel, Oszwald Johan. 2018. Mapping ecosystem services at the regional scale: the validity of an upscaling approach. International Journal of Geographical Information Science, 32 (8) : 1593-1610.

https://doi.org/10.1080/13658816.2018.1445256

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Quartile : Q1, Sujet : GEOGRAPHY / Quartile : Q1, Sujet : INFORMATION SCIENCE & LIBRARY SCIENCE / Quartile : Q1, Sujet : COMPUTER SCIENCE, INFORMATION SYSTEMS / Quartile : Q2, Sujet : GEOGRAPHY, PHYSICAL

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture; Psychologie-éthologie-ergonomie

Résumé : Mapping ecosystem services (ES) over large scales is important for environmental monitoring but is often prohibitively expensive and difficult. We test a hybrid, low-cost method of mapping ES indicators over large scales in Pará State, Brazil. Four ES indicators (vegetation carbon stocks, biodiversity index, soil chemical quality index and rates of water infiltration into soil) were measured in the field and then summarized spatially for regional land-cover classes derived from satellite imagery. The regionally mapped ES values correlated strongly with independent and local measures of ES. For example, regional estimates of the vegetation carbon stocks are strongly correlated with actual measures derived from field samples and validation data (significant anova test – p-value = 4.51e−9) and differed on average by only 20 Mg/ha from the field data. Our spatially-nested approach provides reliable and accurate maps of ES at both local and regional scales. Local maps account for the specificities of an area while regional maps provide an accurate generalization of an ES' state. Such up-scaling methods infuse large-scale ES maps with localized data and enable the estimation of uncertainty of at regional scales. Our approach is first step towards the spatial characterization of ES at large and potentially global scales.

Mots-clés Agrovoc : services écosystémiques, écosystème, cartographie, cartographie de l'occupation du sol, teneur en eau du sol, séquestration du carbone, couverture du sol, biodiversité, propriété physicochimique du sol, télédétection

Mots-clés libres : Ecosystem services mapping, Up-scaling, Remote sensing, Soil chemical quality, Soil infiltrability, Biodiversity, Carbon stocks, Brazilian Amazon

Classification Agris : P01 - Conservation de la nature et ressources foncières
U30 - Méthodes de recherche
F40 - Écologie végétale
P33 - Chimie et physique du sol

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

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