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Trends in Plant Science
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.7916/d8s...
Other literature type . 2015
Data sources: Datacite
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Global satellite monitoring of climate-induced vegetation disturbances

Authors: McDowell, Nate G.; Coops, Nicholas C.; Beck, Pieter S. A.; Chambers, Jeffrey Q.; Gangodagamage, Chandana; Hicke, Jeffrey A.; Huang, Cho-ying; +15 Authors

Global satellite monitoring of climate-induced vegetation disturbances

Abstract

Terrestrial disturbances are accelerating globally, but their full impact is not quantified because we lack an adequate monitoring system. Remote sensing offers a means to quantify the frequency and extent of disturbances globally. Here, we review the current application of remote sensing to this problem and offer a framework for more systematic analysis in the future. We recommend that any proposed monitoring system should not only detect disturbances, but also be able to: identify the proximate cause(s); integrate a range of spatial scales; and, ideally, incorporate process models to explain the observed patterns and predicted trends in the future. Significant remaining challenges are tied to the ecology of disturbances. To meet these challenges, more effort is required to incorporate ecological principles and understanding into the assessments of disturbance worldwide.

Country
United States
Keywords

Crop and Pasture Production, 550, Climate Change, Plant Biology & Botany, satellite, Plant Biology, drought, 333, Spacecraft, Ecosystem, Plant Physiological Phenomena, Plant biology, forests, Ecology, die-off, Biological Sciences, landscape, Remote sensing, Climatic changes, mortality, Vegetation monitoring--Remote sensing, climate change, FOS: Biological sciences, Remote Sensing Technology, Environmental Monitoring

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    192
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
192
Top 1%
Top 10%
Top 1%
Green
bronze