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Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing
Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270134/ https://www.ncbi.nlm.nih.gov/pubmed/34242225 http://dx.doi.org/10.1371/journal.pone.0253148 |
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author | Mata, Julia Carolina Buitenwerf, Robert Svenning, Jens-Christian |
author_facet | Mata, Julia Carolina Buitenwerf, Robert Svenning, Jens-Christian |
author_sort | Mata, Julia Carolina |
collection | PubMed |
description | Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding projects is measured and monitored. However, a spatially explicit understanding of rewilding and rewilding potential in a rewilding site has been absent so far. We present a novel approach for monitoring rewilding progress that focuses on a spatially explicit estimate of progress and ecological integrity within rewilding initiatives. This framework uses habitat classification of the site and tracking data of the reintroduced animals, to model their habitat selection. Through this we measure and map realized and potential rewilding. We operationalize the framework in an ongoing rewilding project in the Iberá Wetlands, Corrientes, Argentina. The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. Of the four species in the rewilding project, only the giant anteater (Myrmecophaga tridactyla) filled the majority of its potential distribution, whereas pampas deer (Ozotoceros bezoarticus), collared peccary (Pecari tajacu) and lowland tapir (Tapirus terrestris) filled less than 23% of theirs. After rewilding we found a 10% increase in the proportion of the study area with high ecological integrity. Through this case study, we showed that this framework can be used to assess the spatial progress of a rewilding site. By incorporating wildlife tracking and satellite-based remote sensing, we are integrating a spatial component to monitoring of rewilding projects that should lead to more detailed understanding of the progress of rewilding. Applying this framework would facilitate decision-making for practitioners and inform species management plans. |
format | Online Article Text |
id | pubmed-8270134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82701342021-07-21 Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing Mata, Julia Carolina Buitenwerf, Robert Svenning, Jens-Christian PLoS One Research Article Defaunation is a global threat to biodiversity that can be counteracted through trophic rewilding, a restoration strategy that promotes self-regulating ecosystems through active reintroductions or passive management. In order to estimate success in restoration initiatives, progress of the rewilding projects is measured and monitored. However, a spatially explicit understanding of rewilding and rewilding potential in a rewilding site has been absent so far. We present a novel approach for monitoring rewilding progress that focuses on a spatially explicit estimate of progress and ecological integrity within rewilding initiatives. This framework uses habitat classification of the site and tracking data of the reintroduced animals, to model their habitat selection. Through this we measure and map realized and potential rewilding. We operationalize the framework in an ongoing rewilding project in the Iberá Wetlands, Corrientes, Argentina. The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. Of the four species in the rewilding project, only the giant anteater (Myrmecophaga tridactyla) filled the majority of its potential distribution, whereas pampas deer (Ozotoceros bezoarticus), collared peccary (Pecari tajacu) and lowland tapir (Tapirus terrestris) filled less than 23% of theirs. After rewilding we found a 10% increase in the proportion of the study area with high ecological integrity. Through this case study, we showed that this framework can be used to assess the spatial progress of a rewilding site. By incorporating wildlife tracking and satellite-based remote sensing, we are integrating a spatial component to monitoring of rewilding projects that should lead to more detailed understanding of the progress of rewilding. Applying this framework would facilitate decision-making for practitioners and inform species management plans. Public Library of Science 2021-07-09 /pmc/articles/PMC8270134/ /pubmed/34242225 http://dx.doi.org/10.1371/journal.pone.0253148 Text en © 2021 Mata et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mata, Julia Carolina Buitenwerf, Robert Svenning, Jens-Christian Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title | Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title_full | Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title_fullStr | Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title_full_unstemmed | Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title_short | Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
title_sort | enhancing monitoring of rewilding progress through wildlife tracking and remote sensing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270134/ https://www.ncbi.nlm.nih.gov/pubmed/34242225 http://dx.doi.org/10.1371/journal.pone.0253148 |
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