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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 AuthorsAuthor's ORCID iDORCID Put Code
He, Kate S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bradley, Bethany A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cord, AnnaHelmholtz Centre for Environment Research – UFZUNSPECIFIEDUNSPECIFIED
Rocchini, DuccioResearch and Innovation Centre, San Michele all'Adige, Trentino, ItalyUNSPECIFIEDUNSPECIFIED
Tuanmu, Mao-NingUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schmidtlein, SebastianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Turner, WoodyEarth Science Division, NASA Headquarters, Washington, DC, USAUNSPECIFIEDUNSPECIFIED
Wegmann, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pettorelli, NathalieInstitute of Zoology, Zoological Society of London UKUNSPECIFIEDUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing in Ecology and Conservation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
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 - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:28 Jun 2016 11:35
Last Modified:19 Nov 2021 20:34

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