Reciprocal insights from global aquatic stressor maps and local reporting across the Ramsar wetland network

作者: Etienne Fluet-Chouinard , Ben Stewart-Koster , Nick Davidson , C. Max Finlayson , Peter B. McIntyre

DOI: 10.1016/J.ECOLIND.2019.105772

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摘要: Abstract Aquatic ecosystems are exposed to a host of anthropogenic stressors whose combined effect can be synthesized with cumulative stress indices. The reliability indices depends primarily on: 1) stressor incidence maps derived from remote sensing or modeling but rarely validated against on-the-ground observations, and 2) the weighting scheme used combine multiple into index typically based on expert opinion. In this paper, we evaluate exposure weights for 13 aquatic world’s rivers comparison local reporting across 1018 inland coastal sites Ramsar Wetlands International Importance. We found that globally-mapped locally-reported poorly aligned overall (AUC-ROC = 0.50–0.63), concordance did not improve when stratifying by ecosystem types continents. Agreement varied individual stressors, was highest hydrological lowest habitat disconnectivity stressors. estimated them remarkably well expert-generated weights, suggesting there is convergence hierarchy global scales. Our illustrates value integrating data scales inform calculation Continued systematic monitoring environmental observation networks central benchmarking globally.

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