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

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

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1080/13658816.2018.14...
 
2
1


Abstract

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 Para 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=4.51(e-9)) and differed on average by only 20Mg/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.

Item ID: 54352
Item Type: Article (Research - C1)
ISSN: 1365-8824
Keywords: ecosystem services mapping, up-scaling, remote sensing, soil chemical quality, soil infiltrability, biodiversity, carbon stocks, Brazilian Amazon
Copyright Information: © 2018 Informa UK Limited, trading as Taylor & Francis Group
Funders: Institut des Amériques, French National Research Agency (ANR)
Projects and Grants: ANR AMAZ, ANR AGES
Date Deposited: 27 Jun 2018 07:41
FoR Codes: 37 EARTH SCIENCES > 3709 Physical geography and environmental geoscience > 370999 Physical geography and environmental geoscience not elsewhere classified @ 100%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page