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Tracking changes and preventing loss in critical tiger habitat

The global population of wild tigers remains dangerously low at fewer than 3500 individuals. Habitat loss, along with poaching, can undermine the international target recovery of doubling the number of wild tigers by 2022. Using a new satellite-based monitoring system, we analyzed 14 years of forest...

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Autores principales: Joshi, Anup R., Dinerstein, Eric, Wikramanayake, Eric, Anderson, Michael L., Olson, David, Jones, Benjamin S., Seidensticker, John, Lumpkin, Susan, Hansen, Matthew C., Sizer, Nigel C., Davis, Crystal L., Palminteri, Suzanne, Hahn, Nathan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820387/
https://www.ncbi.nlm.nih.gov/pubmed/27051881
http://dx.doi.org/10.1126/sciadv.1501675
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author Joshi, Anup R.
Dinerstein, Eric
Wikramanayake, Eric
Anderson, Michael L.
Olson, David
Jones, Benjamin S.
Seidensticker, John
Lumpkin, Susan
Hansen, Matthew C.
Sizer, Nigel C.
Davis, Crystal L.
Palminteri, Suzanne
Hahn, Nathan R.
author_facet Joshi, Anup R.
Dinerstein, Eric
Wikramanayake, Eric
Anderson, Michael L.
Olson, David
Jones, Benjamin S.
Seidensticker, John
Lumpkin, Susan
Hansen, Matthew C.
Sizer, Nigel C.
Davis, Crystal L.
Palminteri, Suzanne
Hahn, Nathan R.
author_sort Joshi, Anup R.
collection PubMed
description The global population of wild tigers remains dangerously low at fewer than 3500 individuals. Habitat loss, along with poaching, can undermine the international target recovery of doubling the number of wild tigers by 2022. Using a new satellite-based monitoring system, we analyzed 14 years of forest loss data within the 76 landscapes (ranging from 278 to 269,983 km(2)) that have been prioritized for conservation of wild tigers. Our analysis provides an update of the status of tiger habitat and describes new applications of technology to detect precisely where forest loss is occurring in order to curb future habitat loss. Across the 76 landscapes, forest loss was far less than anticipated (79,597 ± 22,629 km(2), 7.7% of remaining habitat) over the 14-year study period (2001–2014). Habitat loss was unevenly distributed within a subset of 29 landscapes deemed most critical for doubling wild tiger populations: 19 showed little change (1.5%), whereas 10 accounted for more than 98% (57,392 ± 16,316 km(2)) of habitat loss. Habitat loss in source population sites within 76 landscapes ranged from no loss to 435 ± 124 km(2) ([Formula: see text] , SD = 89, total = 1676 ± 476 km(2)). Doubling the tiger population by 2022 requires moving beyond tracking annual changes in habitat. We highlight near–real-time forest monitoring technologies that provide alerts of forest loss at relevant spatial and temporal scales to prevent further erosion.
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spelling pubmed-48203872016-04-05 Tracking changes and preventing loss in critical tiger habitat Joshi, Anup R. Dinerstein, Eric Wikramanayake, Eric Anderson, Michael L. Olson, David Jones, Benjamin S. Seidensticker, John Lumpkin, Susan Hansen, Matthew C. Sizer, Nigel C. Davis, Crystal L. Palminteri, Suzanne Hahn, Nathan R. Sci Adv Research Articles The global population of wild tigers remains dangerously low at fewer than 3500 individuals. Habitat loss, along with poaching, can undermine the international target recovery of doubling the number of wild tigers by 2022. Using a new satellite-based monitoring system, we analyzed 14 years of forest loss data within the 76 landscapes (ranging from 278 to 269,983 km(2)) that have been prioritized for conservation of wild tigers. Our analysis provides an update of the status of tiger habitat and describes new applications of technology to detect precisely where forest loss is occurring in order to curb future habitat loss. Across the 76 landscapes, forest loss was far less than anticipated (79,597 ± 22,629 km(2), 7.7% of remaining habitat) over the 14-year study period (2001–2014). Habitat loss was unevenly distributed within a subset of 29 landscapes deemed most critical for doubling wild tiger populations: 19 showed little change (1.5%), whereas 10 accounted for more than 98% (57,392 ± 16,316 km(2)) of habitat loss. Habitat loss in source population sites within 76 landscapes ranged from no loss to 435 ± 124 km(2) ([Formula: see text] , SD = 89, total = 1676 ± 476 km(2)). Doubling the tiger population by 2022 requires moving beyond tracking annual changes in habitat. We highlight near–real-time forest monitoring technologies that provide alerts of forest loss at relevant spatial and temporal scales to prevent further erosion. American Association for the Advancement of Science 2016-04-01 /pmc/articles/PMC4820387/ /pubmed/27051881 http://dx.doi.org/10.1126/sciadv.1501675 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Joshi, Anup R.
Dinerstein, Eric
Wikramanayake, Eric
Anderson, Michael L.
Olson, David
Jones, Benjamin S.
Seidensticker, John
Lumpkin, Susan
Hansen, Matthew C.
Sizer, Nigel C.
Davis, Crystal L.
Palminteri, Suzanne
Hahn, Nathan R.
Tracking changes and preventing loss in critical tiger habitat
title Tracking changes and preventing loss in critical tiger habitat
title_full Tracking changes and preventing loss in critical tiger habitat
title_fullStr Tracking changes and preventing loss in critical tiger habitat
title_full_unstemmed Tracking changes and preventing loss in critical tiger habitat
title_short Tracking changes and preventing loss in critical tiger habitat
title_sort tracking changes and preventing loss in critical tiger habitat
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820387/
https://www.ncbi.nlm.nih.gov/pubmed/27051881
http://dx.doi.org/10.1126/sciadv.1501675
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