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

2015 ◽  
Vol 1 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Kate S. He ◽  
Bethany A. Bradley ◽  
Anna F. Cord ◽  
Duccio Rocchini ◽  
Mao‐Ning Tuanmu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Next Generation ◽  
Distribution Models

scholarly journals Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

2020 ◽  
Vol 239 ◽  
pp. 111626 ◽  
Author(s):  
Christophe F. Randin ◽  
Michael B. Ashcroft ◽  
Janine Bolliger ◽  
Jeannine Cavender-Bares ◽  
Nicholas C. Coops ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Distribution Models

scholarly journals Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing

2019 ◽  
Vol 28 (11) ◽  
pp. 1578-1596 ◽  
Author(s):  
Jonas J. Lembrechts ◽  
Jonathan Lenoir ◽  
Nina Roth ◽  
Tarek Hattab ◽  
Ann Milbau ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Temperature Data ◽  
Data Sources ◽  
Distribution Models

Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

2013 ◽  
Vol 41 (4) ◽  
pp. 736-748 ◽  
Author(s):  
Anna F. Cord ◽  
Doris Klein ◽  
David S. Gernandt ◽  
Jorge A. Pérez de la Rosa ◽  
Stefan Dech
Keyword(s):  
Remote Sensing ◽  
Species Richness ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Remote Sensing Data ◽  
Distribution Models ◽  
Sensing Data

scholarly journals Potential of remote sensing to predict species invasions

2015 ◽  
Vol 39 (3) ◽  
pp. 283-309 ◽  
Author(s):  
Duccio Rocchini ◽  
Veronica Andreo ◽  
Michael Förster ◽  
Carol Ximena Garzon-Lopez ◽  
Andrew Paul Gutierrez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Biological Invasion ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Predictive Modelling ◽  
Distribution Models ◽  
Species Invasions ◽  
Remote Sensing Techniques ◽  
The Impact

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.

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