Scaling up functional traits for ecosystem services with remote sensing: concepts and methods.

摘要: Ecosystem service-based management requires an accurate understanding of how human modification influences ecosystem processes and these relationships are most when based on functional traits. Although trait variation is typically sampled at local scales, remote sensing methods can facilitate scaling up to regional scales needed for service management. We review concepts plant animal traits from spatial with the goal assessing impacts services. focus our objectives considerations approaches (1) conducting plot-level sampling (2) using remotely sensed data. show that need account due land cover change species introductions. Sampling intraspecific variation, stratification by type or landscape context, inference published sources may be necessary depending interest. Passive active useful mapping phenological, chemical, structural Combining significantly improve their capacity variation. These also used map vegetation structure in order infer Due high context dependency, between data not directly transferable across regions. end a brief synthesis issues consider outlook development approaches. Research relates typical metrics, such as community-weighted mean, cannot other proxies needed. Our narrows gap