Inferring plant–plant interactions using remote sensing

نویسندگان

چکیده

Rapid technological advancements and increasing data availability have improved the capacity to monitor evaluate Earth's ecology via remote sensing. However, sensing is notoriously ‘blind’ fine-scale ecological processes such as interactions among plants, which encompass a central topic in ecology. Here, we discuss how technologies can help infer plant–plant their roles shaping plant-based systems at individual, community landscape levels. At each of these levels, outline key attributes ecosystems that emerge product could possibly be detected by data. We review theoretical bases, approaches prospects inference assessed remotely. individual level, illustrate close-range tools interactions, especially experimental settings. use forests remotely sensed structure used dominant fundamental force plant communities. highlight vegetation states spatial patterns assess role local systems. Synthesis. Remote extends domain broader finer scales, assisting scale search for generic rules. Robust are likely extend our understanding shape across scales—from individuals landscapes. Combining with theories, models, experiments, data-driven analysis algorithms will firmly embed techniques into context open new pathways better understand biotic interactions.

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ژورنال

عنوان ژورنال: Journal of Ecology

سال: 2022

ISSN: ['1365-2745', '0022-0477']

DOI: https://doi.org/10.1111/1365-2745.13980