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Will remote sensing shape the next generation of species distribution models?

He, Kate S. and Bradley, Bethany A. and Cord, Anna and Rocchini, Duccio and Tuanmu, Mao-Ning and Schmidtlein, Sebastian and Turner, Woody and Wegmann, Martin and Pettorelli, Nathalie (2015) Will remote sensing shape the next generation of species distribution models? Remote Sensing in Ecology and Conservation, 1 (1), pp. 4-18. Wiley. DOI: 10.1002/rse2.7 ISSN 2056-3485

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Official URL: http://dx.doi.org/10.1002/rse2.7

Abstract

Two prominent limitations of species distribution models (SDMs) are spatial biases in existing occurrence data and a lack of spatially explicit predictor variables to fully capture habitat characteristics of species. Can existing and emerging remote sensing technologies meet these challenges and improve future SDMs? We believe so. Novel products derived from multispectral and hyperspectral sensors, as well as future Light Detection and Ranging (LiDAR) and RADAR missions, may play a key role in improving model performance. In this perspective piece, we demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling. We hope this interdisciplinary perspective will motivate ecologists, remote sensing experts and modelers to work together for developing a more refined SDM framework in the near future.

Item URL in elib:https://elib.dlr.de/104480/
Document Type:Article
Title:Will remote sensing shape the next generation of species distribution models?
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
He, Kate S.UNSPECIFIEDUNSPECIFIED
Bradley, Bethany A.UNSPECIFIEDUNSPECIFIED
Cord, AnnaHelmholtz Centre for Environment Research – UFZUNSPECIFIED
Rocchini, DuccioResearch and Innovation Centre, San Michele all'Adige, Trentino, ItalyUNSPECIFIED
Tuanmu, Mao-NingUNSPECIFIEDUNSPECIFIED
Schmidtlein, Sebastianschmidtlein (at) kit.eduUNSPECIFIED
Turner, WoodyEarth Science Division, NASA Headquarters, Washington, DC, USAUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Pettorelli, NathalieInstitute of Zoology, Zoological Society of London UKUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing in Ecology and Conservation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:1
DOI :10.1002/rse2.7
Page Range:pp. 4-18
Publisher:Wiley
ISSN:2056-3485
Status:Published
Keywords:species distribution models (SDMs), multi-scale
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:28 Jun 2016 11:35
Last Modified:16 Jul 2019 05:03

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