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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Standardizing Ecosystem Morphological Traits from 3D Information Sources

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Author(s):
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Valbuena, R. [1, 2, 3] ; O'Connor, B. [2] ; Zellweger, F. [3, 4] ; Simonson, W. [2] ; Vihervaara, P. [5] ; Maltamo, M. [6] ; Silva, C. A. [7, 8] ; Almeida, D. R. A. [9] ; Danks, F. [2] ; Morsdorf, F. [10] ; Chirici, G. [11] ; Lucas, R. [12] ; Coomes, D. A. [3] ; Coops, N. C. [13]
Total Authors: 14
Affiliation:
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[1] Bangor Univ, Sch Nat Sci, Thoday Bldg, Bangor LL57 2UW, Gwynedd - Wales
[2] WCMC, UNEP, 219 Huntington Rd, Cambridge CB3 0DL - England
[3] Univ Cambridge, Dept Plant Sci, Conservat Res Inst, Downing St, Cambridge CB2 3EA - England
[4] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf - Switzerland
[5] Finnish Environm Inst SYKE, Biodivers Ctr, Latokartanonkaari 11, Helsinki 00790 - Finland
[6] Univ Eastern Finland, Fac Forest Sci, POB 111, Joensuu - Finland
[7] Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 - USA
[8] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 - USA
[9] Univ Sao Paulo, Dept Forest Sci, Luiz de Queiroz Coll Agr USP ESALQ, Piracicaba, SP - Brazil
[10] Univ Zurich, Remote Sensing Labs, Winterthurerstr 190, CH-8057 Zurich - Switzerland
[11] Univ Firenze, Dipartimento Sci & Tecnol Agr Alimentari Ambienta, Via San Bonaventura 13, I-50145 Florence - Italy
[12] Aberystwyth Univ, Earth Observat & Ecosyst Dynam Res Grp, Aberystwyth SY23 3DB, Dyfed - Wales
[13] Univ British Columbia, Dept Forest Resource Management, 2424 Main Mall, Vancouver, BC V6T 1Z4 - Canada
Total Affiliations: 13
Document type: Review article
Source: TRENDS IN ECOLOGY & EVOLUTION; v. 35, n. 8, p. 656-667, AUG 2020.
Web of Science Citations: 14
Abstract

3D-imaging technologies provide measurements of terrestrial and aquatic ecosystems' structure, key for biodiversity studies. However, the practical use of these observations globally faces practical challenges. First, available 3D data are geographically biased, with significant gaps in the tropics. Second, no data source provides, by itself, global coverage at a suitable temporal recurrence. Thus, global monitoring initiatives, such as assessment of essential biodiversity variables (EBVs), will necessarily have to involve the combination of disparate data sets. We propose a standardized framework of ecosystem morphological traits - height, cover, and structural complexity - that could enable monitoring of globally consistent EBVs at regional scales, by flexibly integrating different information sources - satellites, aircrafts, drones, or ground data - allowing global biodiversity targets relating to ecosystem structure to be monitored and regularly reported. (AU)

FAPESP's process: 18/21338-3 - Monitoring forest landscape restoration from unmanned aerial vehicles using Lidar and hyperspectral remote sensing
Grantee:Danilo Roberti Alves de Almeida
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 19/14697-0 - Monitoring the demography and diversity of forests undergoing restoration using a drone-lidar-hyperspectral system
Grantee:Danilo Roberti Alves de Almeida
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor