Mapping wetland functions using Earth observation data and multi-criteria analysis

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作者
Sébastien Rapinel
Laurence Hubert-Moy
Bernard Clément
Edward Maltby
机构
[1] LETG-RENNES COSTEL UMR CNRS 6554,School of Environmental Science
[2] ECOBIO UMR CNRS 6553,undefined
[3] University of Liverpool,undefined
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Wetland conservation; Ecosystem management; EU habitats directive; EU nitrates directive; LiDAR, remote sensing;
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摘要
Wetland functional assessment is commonly conducted based on field observations, and thus, is generally limited to small areas. However, there is often a need for wetland managers to obtain information on wetland functional performance over larger areas. For this purpose, we are proposing a new field-based functional assessment procedure in which wetland functions are evaluated and classified into hydrogeomorphic units according to a multi-criteria analysis approach. Wetland-related geographic information system layers derived from Earth observation data (LiDAR, multispectral and radar data) are used in this study for a large-scale functional evaluation. These include maps of a hydrogeomorphic units, ditches, vegetation, annual flood duration, biomass, meadows management, and wetland boundaries. To demonstrate the feasibility of this approach, a 132 km2 international long-term ecological research site located in the west of France was assessed. Four wetland functions were evaluated: flood peak attenuation, low water attenuation, denitrification, and habitat. A spatial distribution map of the individual wetland functions was generated, and the intensity levels of the functions were highlighted. Antagonisms between functions within individual hydrogeomorphic units were also identified. Mapping of hydrological, biogeochemical, and ecological wetland functions over large areas can provide an efficient tool for policy makers and other stakeholders including water authorities, nature conservation agencies, and farmers. Specifically, this tool has the potential to provide a mapping of ecosystem services, conservation management priorities, and possible improvements in water resources management.
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