From Field Data to Ecosystem Services Maps: Using Regressions for the Case of Deforested Areas Within the Amazon

Solen Le Clec’h; Nicolas Jégou; Thibaud Decaens; Simon Dufour; Michel Grimaldi; Johan Oszwald

doi:10.1007/s10021-017-0145-9

From Field Data to Ecosystem Services Maps: Using Regressions for the Case of Deforested Areas Within the Amazon

Solen Le Clec’h ^{1, 2, *} Nicolas Jégou ³ Thibaud Decaens ⁴ Simon Dufour ¹ Michel Grimaldi ⁵ Johan Oszwald ¹

* Auteur correspondant

1 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique

LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554

2 Department of Management, Technology and Economics

3 IRMAR - Institut de Recherche Mathématique de Rennes

4 CEFE - Centre d’Ecologie Fonctionnelle et Evolutive

5 IEES - Institut d'écologie et des sciences de l'environnement de Paris

Abstract : Quantifying and mapping ecosystem services (ES) is seen as one way to improve decision making and land management to better integrate environmental issues. This study aimed to characterize ES supply in deforestation context where an improvement of scientific knowledge should help develop more efficient environmental management. For three case studies in the Brazilian Amazon impacted by deforestation, seven indicators of potential ES supply were mapped at a spatial resolution of 30 × 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). To map these indicators, in situ measurements of ES for 135 sampling points and remote sensing data were linked using regression methods. These methods were used to predict ES values and identify environmental factors that influence ES supply. The resulting maps help in understanding the influence of environmental factors on ES spatial distribution within the sites. The 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. From 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 : biophysical processes ecosystem service indicators Statistical model Regression Remote sensing Land cover Deforestation Brazilian Amazon

Type de document :

Article dans une revue

Ecosystems, Springer Verlag, 2018, 21 (2), pp.216-236. 〈10.1007/s10021-017-0145-9〉

Domaine :

Mathématiques [math] / Statistiques [math.ST]

Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01512697
Contributeur : Marie-Annick Guillemer <>
Soumis le : lundi 24 avril 2017 - 11:34:28
Dernière modification le : mercredi 19 décembre 2018 - 14:24:05

From Field Data to Ecosystem Services Maps: Using Regressions for the Case of Deforested Areas Within the Amazon

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From Field Data to Ecosystem Services Maps: Using Regressions for the Case of Deforested Areas Within the Amazon

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