A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices

A tale of two wildfires; testing detection and prediction of invasive species distributions using... Landscape Ecol (2018) 33:969–984 https://doi.org/10.1007/s10980-018-0644-x RESEARCH ARTICLE A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices . . . Amanda M. West Paul H. Evangelista Catherine S. Jarnevich Darin Schulte Received: 11 September 2017 / Accepted: 23 April 2018 / Published online: 4 May 2018 This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2018 Abstract indices, spectral indices derived from multiple dates of Context Developing species distribution models Landsat 8 satellite imagery, or both. Models devel- (SDMs) to detect invasive species cover and evaluate oped for one site were applied to the other, using habitat suitability are high priorities for land independent cheatgrass cover data from the respective managers. ex situ site to test model transferability. Objectives We tested SDMs fit with different vari- Results Fitted models were statistically robust and able combinations to provide guidelines for future comparable when fit with at least 200 cover plots invasive species model development based on trans- in situ and transferred to the ex situ site. Only the ferability http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Landscape Ecology Springer Journals

A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices

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Publisher
Springer Journals
Copyright
Copyright © 2018 by This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection
Subject
Life Sciences; Landscape Ecology; Ecology; Nature Conservation; Landscape/Regional and Urban Planning; Sustainable Development; Environmental Management
ISSN
0921-2973
eISSN
1572-9761
D.O.I.
10.1007/s10980-018-0644-x
Publisher site
See Article on Publisher Site

Abstract

Landscape Ecol (2018) 33:969–984 https://doi.org/10.1007/s10980-018-0644-x RESEARCH ARTICLE A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices . . . Amanda M. West Paul H. Evangelista Catherine S. Jarnevich Darin Schulte Received: 11 September 2017 / Accepted: 23 April 2018 / Published online: 4 May 2018 This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2018 Abstract indices, spectral indices derived from multiple dates of Context Developing species distribution models Landsat 8 satellite imagery, or both. Models devel- (SDMs) to detect invasive species cover and evaluate oped for one site were applied to the other, using habitat suitability are high priorities for land independent cheatgrass cover data from the respective managers. ex situ site to test model transferability. Objectives We tested SDMs fit with different vari- Results Fitted models were statistically robust and able combinations to provide guidelines for future comparable when fit with at least 200 cover plots invasive species model development based on trans- in situ and transferred to the ex situ site. Only the ferability

Journal

Landscape EcologySpringer Journals

Published: May 4, 2018

References

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