Reconstructing landscapes of ungulate parturition and predation using vegetation phenology
Abstract Enhanced vegetation index (EVI) data can be used to identify and define the space in which ungulates practice parturition and encounter predation. This study explores the use of EVI data to identify landscapes linked to ungulate parturition and predation events across space, time, and envir...
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Oxford University Press (OUP)
2021
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Online Access: | http://dx.doi.org/10.1093/cz/zoab058 http://academic.oup.com/cz/advance-article-pdf/doi/10.1093/cz/zoab058/39612584/zoab058.pdf https://academic.oup.com/cz/article-pdf/68/3/275/43706357/zoab058.pdf |
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croxfordunivpr:10.1093/cz/zoab058 2024-10-20T14:02:37+00:00 Reconstructing landscapes of ungulate parturition and predation using vegetation phenology Van de Vuurst, Paige Moore, Seth A Isaac, Edmund J Chenaux-Ibrahim, Yvette Wolf, Tiffany M Escobar, Luis E Wang, Yan-Ping U.S. Fish and Wildlife Service Tribal Wildlife Grant U.S. Environmental Protection Agency Great Lakes Restoration Initiative Bureau of Indian Affairs Endangered Species Program Minnesota Zoo Ulysses S. Seal Conservation Grant and the Indianapolis Zoo Conservation Fund 2021 http://dx.doi.org/10.1093/cz/zoab058 http://academic.oup.com/cz/advance-article-pdf/doi/10.1093/cz/zoab058/39612584/zoab058.pdf https://academic.oup.com/cz/article-pdf/68/3/275/43706357/zoab058.pdf en eng Oxford University Press (OUP) https://creativecommons.org/licenses/by-nc/4.0/ Current Zoology volume 68, issue 3, page 275-283 ISSN 2396-9814 journal-article 2021 croxfordunivpr https://doi.org/10.1093/cz/zoab058 2024-09-24T04:07:00Z Abstract Enhanced vegetation index (EVI) data can be used to identify and define the space in which ungulates practice parturition and encounter predation. This study explores the use of EVI data to identify landscapes linked to ungulate parturition and predation events across space, time, and environmental conditions. As a case study, we used the moose population (Alces alces) of northern Minnesota in the USA. Using remotely sensed EVI data rasters and global positioning system collar data, we quantified how vegetation phenology and moose movement shaped the births and predation of 52 moose calves from 2013 to 2020 on or adjacent to the Grand Portage Indian Reservation. The known sources of predation were American black bears (Ursus americanus, n = 22) and gray wolves (Canis lupus, n = 28). Satellite-derived data summarizing seasonal landscape features at the local level revealed that landscape heterogeneity use by moose can help to quantitatively identify landscapes of parturition and predation in space and time across large areas. Vegetation phenology proved to be differentiable between adult moose ranges, sites of cow parturition, and sites of calf predation. Landscape characteristics of each moose group were consistent and tractable based on environment, suggesting that sites of parturition and predation of moose are predictable in space and time. It is possible that moose selected specific landscapes for parturition despite risk of increased predation of their calves, which could be an example of an "ecological trap." This analytical framework can be employed to identify areas for future ungulate research on the impacts of landscape on parturition and predation dynamics. Article in Journal/Newspaper Alces alces Canis lupus Oxford University Press Indian Portage Indian ENVELOPE(-58.011,-58.011,51.391,51.391) Current Zoology |
institution |
Open Polar |
collection |
Oxford University Press |
op_collection_id |
croxfordunivpr |
language |
English |
description |
Abstract Enhanced vegetation index (EVI) data can be used to identify and define the space in which ungulates practice parturition and encounter predation. This study explores the use of EVI data to identify landscapes linked to ungulate parturition and predation events across space, time, and environmental conditions. As a case study, we used the moose population (Alces alces) of northern Minnesota in the USA. Using remotely sensed EVI data rasters and global positioning system collar data, we quantified how vegetation phenology and moose movement shaped the births and predation of 52 moose calves from 2013 to 2020 on or adjacent to the Grand Portage Indian Reservation. The known sources of predation were American black bears (Ursus americanus, n = 22) and gray wolves (Canis lupus, n = 28). Satellite-derived data summarizing seasonal landscape features at the local level revealed that landscape heterogeneity use by moose can help to quantitatively identify landscapes of parturition and predation in space and time across large areas. Vegetation phenology proved to be differentiable between adult moose ranges, sites of cow parturition, and sites of calf predation. Landscape characteristics of each moose group were consistent and tractable based on environment, suggesting that sites of parturition and predation of moose are predictable in space and time. It is possible that moose selected specific landscapes for parturition despite risk of increased predation of their calves, which could be an example of an "ecological trap." This analytical framework can be employed to identify areas for future ungulate research on the impacts of landscape on parturition and predation dynamics. |
author2 |
Wang, Yan-Ping U.S. Fish and Wildlife Service Tribal Wildlife Grant U.S. Environmental Protection Agency Great Lakes Restoration Initiative Bureau of Indian Affairs Endangered Species Program Minnesota Zoo Ulysses S. Seal Conservation Grant and the Indianapolis Zoo Conservation Fund |
format |
Article in Journal/Newspaper |
author |
Van de Vuurst, Paige Moore, Seth A Isaac, Edmund J Chenaux-Ibrahim, Yvette Wolf, Tiffany M Escobar, Luis E |
spellingShingle |
Van de Vuurst, Paige Moore, Seth A Isaac, Edmund J Chenaux-Ibrahim, Yvette Wolf, Tiffany M Escobar, Luis E Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
author_facet |
Van de Vuurst, Paige Moore, Seth A Isaac, Edmund J Chenaux-Ibrahim, Yvette Wolf, Tiffany M Escobar, Luis E |
author_sort |
Van de Vuurst, Paige |
title |
Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
title_short |
Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
title_full |
Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
title_fullStr |
Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
title_full_unstemmed |
Reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
title_sort |
reconstructing landscapes of ungulate parturition and predation using vegetation phenology |
publisher |
Oxford University Press (OUP) |
publishDate |
2021 |
url |
http://dx.doi.org/10.1093/cz/zoab058 http://academic.oup.com/cz/advance-article-pdf/doi/10.1093/cz/zoab058/39612584/zoab058.pdf https://academic.oup.com/cz/article-pdf/68/3/275/43706357/zoab058.pdf |
long_lat |
ENVELOPE(-58.011,-58.011,51.391,51.391) |
geographic |
Indian Portage Indian |
geographic_facet |
Indian Portage Indian |
genre |
Alces alces Canis lupus |
genre_facet |
Alces alces Canis lupus |
op_source |
Current Zoology volume 68, issue 3, page 275-283 ISSN 2396-9814 |
op_rights |
https://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1093/cz/zoab058 |
container_title |
Current Zoology |
_version_ |
1813453706140581888 |