Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6193
Main Title: Potential of remote sensing to predict species invasions: a modelling perspective
Author(s): Rocchini, Duccio
Andreo, Veronica
Förster, Michael
Garzon-Lopez, Carol Ximena
Gutierrez, Andrew Paul
Gillespie, Thomas W.
Hauffe, Heidi C.
He, Kate S.
Kleinschmit, Birgit
Mairota, Paola
Marcantonio, Matteo
Metz, Markus
Nagendra, Harini
Pareeth, Sajid
Ponti, Luigi
Ricotta, Carlo
Rizzoli, Annapaola
Schaab, Gertrud
Zebisch, Marc
Zorer, Roberto
Neteler, Markus
Type: Article
Language Code: en
Abstract: Understanding the causes and effects of species invasions is a priority in ecology and conservation biology. One of the crucial steps in evaluating the impact of invasive species is to map changes in their actual and potential distribution and relative abundance across a wide region over an appropriate time span. While direct and indirect remote sensing approaches have long been used to assess the invasion of plant species, the distribution of invasive animals is mainly based on indirect methods that rely on environmental proxies of conditions suitable for colonization by a particular species. The aim of this article is to review recent efforts in the predictive modelling of the spread of both plant and animal invasive species using remote sensing, and to stimulate debate on the potential use of remote sensing in biological invasion monitoring and forecasting. Specifically, the challenges and drawbacks of remote sensing techniques are discussed in relation to: i) developing species distribution models, and ii) studying life cycle changes and phenological variations. Finally, the paper addresses the open challenges and pitfalls of remote sensing for biological invasion studies including sensor characteristics, upscaling and downscaling in species distribution models, and uncertainty of results.
URI: https://depositonce.tu-berlin.de//handle/11303/6809
http://dx.doi.org/10.14279/depositonce-6193
Issue Date: 2015
Date Available: 23-Oct-2017
DDC Class: 910 Geografie, Reisen
Subject(s): biological invasion
ecological niche models
physiologically-based demographic models
satellite imagery
species distribution modelling
species diversity
uncertainty
Sponsor/Funder: EC/FP7/308454/EU/EU BON: Building the European Biodiversity Observation Network/EU BON
Usage rights: Terms of German Copyright Law
Journal Title: Progress in physical geography
Publisher: Sage Publications
Publisher Place: London [u.a.]
Volume: 39
Issue: 3
Publisher DOI: 10.1177/0309133315574659
Page Start: 283
Page End: 309
EISSN: 1477-0296
ISSN: 0309-1333
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:Fachgebiet Geoinformation in der Umweltplanung » Publications

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