Reconstructing landscapes of ungulate parturition and predation using vegetation phenology
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...
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ftpubmed:oai:pubmedcentral.nih.gov:9113264 2023-05-15T13:13:29+02:00 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 2021-07-23 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113264/ https://doi.org/10.1093/cz/zoab058 en eng Oxford University Press http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113264/ http://dx.doi.org/10.1093/cz/zoab058 © The Author(s) (2021). Published by Oxford University Press on behalf of Editorial Office, Current Zoology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com CC-BY-NC Curr Zool Articles Text 2021 ftpubmed https://doi.org/10.1093/cz/zoab058 2022-05-22T00:49:12Z 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. Text Alces alces Canis lupus PubMed Central (PMC) Indian Portage Indian ENVELOPE(-58.011,-58.011,51.391,51.391) Current Zoology 68 3 275 283 |
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Articles 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 |
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Articles |
description |
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. |
format |
Text |
author |
Van de Vuurst, Paige Moore, Seth A Isaac, Edmund J Chenaux-Ibrahim, Yvette Wolf, Tiffany M Escobar, Luis E |
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 |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113264/ https://doi.org/10.1093/cz/zoab058 |
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 |
Curr Zool |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113264/ http://dx.doi.org/10.1093/cz/zoab058 |
op_rights |
© The Author(s) (2021). Published by Oxford University Press on behalf of Editorial Office, Current Zoology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1093/cz/zoab058 |
container_title |
Current Zoology |
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68 |
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3 |
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275 |
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283 |
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1766258707004391424 |