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3D Imaging Insights into Forests and Coral Reefs

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2020 Australia, United Kingdom Publisher:Elsevier BVJournal:Trends in Ecology & Evolution, volume 35, pages 6-9 (issn: 0169-5347,

Authors: Gregory P. Asner; Stuart R. Phinn; John Armston; Kim Calders; Kim Calders; Renata Ferrari; Mathias Disney; +2 Authors

doi: 10.1016/j.tree.2019.10.004

pmid: 31699409

3D Imaging Insights into Forests and Coral Reefs

- Summary
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Abstract

Forests and coral reefs are structurally complex ecosystems threatened by climate change. In situ 3D imaging measurements provide unprecedented, quantitative, and detailed structural information that allows testing of hypotheses relating form to function. This affords new insights into both individual organisms and their relationship to their surroundings and neighbours.

Countries

Australia, United Kingdom

Related Organizations

Ghent University
Belgium
University of Maryland, Department of Geographical Sciences
United States
University College London
United Kingdom
Arizona State University
United States
University of Maryland
United States

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Keywords

Ecology, Evolution, Coral Reefs, Climate Change, Forests, Anthozoa, 1105 Ecology, Imaging, Three-Dimensional, Behavior and Systematics, Animals, FoR 05 (Environmental Sciences), FoR 06 (Biological Sciences), Ecosystem

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).	39
	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%