Cargando…
Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape?
Greater sage-grouse populations have decreased steadily since European settlement in western North America. Reduced availability of brood-rearing habitat has been identified as a limiting factor for many populations. We used radio-telemetry to acquire locations of sage-grouse broods from 1998 to 201...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878777/ https://www.ncbi.nlm.nih.gov/pubmed/27218829 http://dx.doi.org/10.1371/journal.pone.0156290 |
_version_ | 1782433609116811264 |
---|---|
author | Westover, Matthew Baxter, Jared Baxter, Rick Day, Casey Jensen, Ryan Petersen, Steve Larsen, Randy |
author_facet | Westover, Matthew Baxter, Jared Baxter, Rick Day, Casey Jensen, Ryan Petersen, Steve Larsen, Randy |
author_sort | Westover, Matthew |
collection | PubMed |
description | Greater sage-grouse populations have decreased steadily since European settlement in western North America. Reduced availability of brood-rearing habitat has been identified as a limiting factor for many populations. We used radio-telemetry to acquire locations of sage-grouse broods from 1998 to 2012 in Strawberry Valley, Utah. Using these locations and remotely-sensed NAIP (National Agricultural Imagery Program) imagery, we 1) determined which characteristics of brood-rearing habitat could be used in widely available, high resolution imagery 2) assessed the spatial extent at which sage-grouse selected brood-rearing habitat, and 3) created a predictive habitat model to identify areas of preferred brood-rearing habitat. We used AIC model selection to evaluate support for a list of variables derived from remotely-sensed imagery. We examined the relationship of these explanatory variables at three spatial extents (45, 200, and 795 meter radii). Our top model included 10 variables (percent shrub, percent grass, percent tree, percent paved road, percent riparian, meters of sage/tree edge, meters of riparian/tree edge, distance to tree, distance to transmission lines, and distance to permanent structures). Variables from each spatial extent were represented in our top model with the majority being associated with the larger (795 meter) spatial extent. When applied to our study area, our top model predicted 75% of naïve brood locations suggesting reasonable success using this method and widely available NAIP imagery. We encourage application of our methodology to other sage-grouse populations and species of conservation concern. |
format | Online Article Text |
id | pubmed-4878777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48787772016-06-09 Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? Westover, Matthew Baxter, Jared Baxter, Rick Day, Casey Jensen, Ryan Petersen, Steve Larsen, Randy PLoS One Research Article Greater sage-grouse populations have decreased steadily since European settlement in western North America. Reduced availability of brood-rearing habitat has been identified as a limiting factor for many populations. We used radio-telemetry to acquire locations of sage-grouse broods from 1998 to 2012 in Strawberry Valley, Utah. Using these locations and remotely-sensed NAIP (National Agricultural Imagery Program) imagery, we 1) determined which characteristics of brood-rearing habitat could be used in widely available, high resolution imagery 2) assessed the spatial extent at which sage-grouse selected brood-rearing habitat, and 3) created a predictive habitat model to identify areas of preferred brood-rearing habitat. We used AIC model selection to evaluate support for a list of variables derived from remotely-sensed imagery. We examined the relationship of these explanatory variables at three spatial extents (45, 200, and 795 meter radii). Our top model included 10 variables (percent shrub, percent grass, percent tree, percent paved road, percent riparian, meters of sage/tree edge, meters of riparian/tree edge, distance to tree, distance to transmission lines, and distance to permanent structures). Variables from each spatial extent were represented in our top model with the majority being associated with the larger (795 meter) spatial extent. When applied to our study area, our top model predicted 75% of naïve brood locations suggesting reasonable success using this method and widely available NAIP imagery. We encourage application of our methodology to other sage-grouse populations and species of conservation concern. Public Library of Science 2016-05-24 /pmc/articles/PMC4878777/ /pubmed/27218829 http://dx.doi.org/10.1371/journal.pone.0156290 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Westover, Matthew Baxter, Jared Baxter, Rick Day, Casey Jensen, Ryan Petersen, Steve Larsen, Randy Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title | Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title_full | Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title_fullStr | Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title_full_unstemmed | Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title_short | Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape? |
title_sort | assessing greater sage-grouse selection of brood-rearing habitat using remotely-sensed imagery: can readily available high-resolution imagery be used to identify brood-rearing habitat across a broad landscape? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878777/ https://www.ncbi.nlm.nih.gov/pubmed/27218829 http://dx.doi.org/10.1371/journal.pone.0156290 |
work_keys_str_mv | AT westovermatthew assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT baxterjared assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT baxterrick assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT daycasey assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT jensenryan assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT petersensteve assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape AT larsenrandy assessinggreatersagegrouseselectionofbroodrearinghabitatusingremotelysensedimagerycanreadilyavailablehighresolutionimagerybeusedtoidentifybroodrearinghabitatacrossabroadlandscape |