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Standardizing ecosystem morphological traits from 3D information sources


Valbuena, Ruben; O’Connor, Brian; Zellweger, Florian; Simonson, William; Vihervaara, Petteri; Maltamo, Matti; Silva, Carlos Alberto; Almeida, Danilo R A; Danks, Fiona; Morsdorf, Felix; Chirici, Gherardo; Lucas, Richard; Coomes, David A; Coops, Nicholas C (2020). Standardizing ecosystem morphological traits from 3D information sources. Trends in Ecology & Evolution, 35(8):656-667.

Abstract

3D-imaging data acquired from a variety of platforms have become critical for ecological and environmental management. However, the use of disparate information sources to produce comprehensive and standardized global products is hindered by a lack of harmonization and terminology around ecosystem structure.

We propose a sensor- and platform-independent framework which effectively distils the wealth of 3D information into concise ecosystem morphological traits – height, cover, and structural complexity – easy to conceptualize by ecologists and conservation stakeholders lacking remote sensing background.

The conceptual disaggregation of ecosystem structure would contribute to defining and monitoring essential biodiversity variables obtained from 3D imaging that can be used to inform progress towards the UN 2030 Sustainable Development Goals and other international policy targets.

Abstract

3D-imaging data acquired from a variety of platforms have become critical for ecological and environmental management. However, the use of disparate information sources to produce comprehensive and standardized global products is hindered by a lack of harmonization and terminology around ecosystem structure.

We propose a sensor- and platform-independent framework which effectively distils the wealth of 3D information into concise ecosystem morphological traits – height, cover, and structural complexity – easy to conceptualize by ecologists and conservation stakeholders lacking remote sensing background.

The conceptual disaggregation of ecosystem structure would contribute to defining and monitoring essential biodiversity variables obtained from 3D imaging that can be used to inform progress towards the UN 2030 Sustainable Development Goals and other international policy targets.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Uncontrolled Keywords:Ecology, Evolution, Behavior and Systematics
Language:English
Date:1 August 2020
Deposited On:02 Oct 2020 12:03
Last Modified:13 Oct 2020 18:11
Publisher:Elsevier
ISSN:0169-5347
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.tree.2020.03.006
Project Information:
  • : FunderSNSF
  • : Grant IDP2EZP3_172198
  • : Project TitleHow does forest microclimate affect biodiversity dynamics?

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