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Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model

BACKGROUND: The ecosystems across Tibetan Plateau are changing rapidly under the influence of climate warming, which has caused substantial changes in spatial and temporal environmental patterns. Stipa purpurea, as a dominant herbsage resource in alpine steppe, has a great influence on animal husban...

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Detalles Bibliográficos
Autores principales: Ma, Baibing, Sun, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5822641/
https://www.ncbi.nlm.nih.gov/pubmed/29466976
http://dx.doi.org/10.1186/s12898-018-0165-0
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author Ma, Baibing
Sun, Jian
author_facet Ma, Baibing
Sun, Jian
author_sort Ma, Baibing
collection PubMed
description BACKGROUND: The ecosystems across Tibetan Plateau are changing rapidly under the influence of climate warming, which has caused substantial changes in spatial and temporal environmental patterns. Stipa purpurea, as a dominant herbsage resource in alpine steppe, has a great influence on animal husbandry in the Tibetan Plateau. Global warming has been forecasted to continue in the future (2050s, 2070s), questioning the future distribution of S. purpurea and its response to climate change. The maximum entropy (MaxEnt) modeling, due to its multiple advantages (e.g. uses presence-only data, performs well with incomplete data, and requires small sample sizes and gaps), has been used to understand species environment relationships and predict species distributions across locations that have not been sampled. RESULTS: Annual mean temperature, annual precipitation, temperature seasonality, altitude, and precipitation during the driest month, significantly affected the distribution of S. purpurea. Only 0.70% of the Tibetan Plateau area included a very highly suitable habitat (habitat suitability [HS] = 0.8–1.0). Highly suitable habitat (HS = 0.6–0.8), moderately suitable habitat (HS = 0.4–0.6), and unsuitable habitat (HS = 0.2–0.4) occupied 6.20, 14.30 and 22.40% of the Tibetan Plateau area, respectively, and the majority (56.40%) of the Tibetan Plateau area constituted a highly unsuitable habitat (HS = 0–0.2). In addition, the response curves of species ecological suitability simulated by generalized additive model nearly corresponded with the response curves generated by the MaxEnt model. CONCLUSIONS: At a temporal scale, the habitat suitability of S. purpurea tends to increase from the 1990s to 2050s, but decline from the 2050s to 2070s. At a spatial scale, the future distribution of S. purpurea will not exhibit sweeping changes and will remain in the central and southeastern regions of the Tibetan Plateau. These results benefit the local animal husbandry and provide evidence for establishing reasonable management practices. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12898-018-0165-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-58226412018-02-26 Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model Ma, Baibing Sun, Jian BMC Ecol Research Article BACKGROUND: The ecosystems across Tibetan Plateau are changing rapidly under the influence of climate warming, which has caused substantial changes in spatial and temporal environmental patterns. Stipa purpurea, as a dominant herbsage resource in alpine steppe, has a great influence on animal husbandry in the Tibetan Plateau. Global warming has been forecasted to continue in the future (2050s, 2070s), questioning the future distribution of S. purpurea and its response to climate change. The maximum entropy (MaxEnt) modeling, due to its multiple advantages (e.g. uses presence-only data, performs well with incomplete data, and requires small sample sizes and gaps), has been used to understand species environment relationships and predict species distributions across locations that have not been sampled. RESULTS: Annual mean temperature, annual precipitation, temperature seasonality, altitude, and precipitation during the driest month, significantly affected the distribution of S. purpurea. Only 0.70% of the Tibetan Plateau area included a very highly suitable habitat (habitat suitability [HS] = 0.8–1.0). Highly suitable habitat (HS = 0.6–0.8), moderately suitable habitat (HS = 0.4–0.6), and unsuitable habitat (HS = 0.2–0.4) occupied 6.20, 14.30 and 22.40% of the Tibetan Plateau area, respectively, and the majority (56.40%) of the Tibetan Plateau area constituted a highly unsuitable habitat (HS = 0–0.2). In addition, the response curves of species ecological suitability simulated by generalized additive model nearly corresponded with the response curves generated by the MaxEnt model. CONCLUSIONS: At a temporal scale, the habitat suitability of S. purpurea tends to increase from the 1990s to 2050s, but decline from the 2050s to 2070s. At a spatial scale, the future distribution of S. purpurea will not exhibit sweeping changes and will remain in the central and southeastern regions of the Tibetan Plateau. These results benefit the local animal husbandry and provide evidence for establishing reasonable management practices. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12898-018-0165-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-21 /pmc/articles/PMC5822641/ /pubmed/29466976 http://dx.doi.org/10.1186/s12898-018-0165-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ma, Baibing
Sun, Jian
Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title_full Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title_fullStr Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title_full_unstemmed Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title_short Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model
title_sort predicting the distribution of stipa purpurea across the tibetan plateau via the maxent model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5822641/
https://www.ncbi.nlm.nih.gov/pubmed/29466976
http://dx.doi.org/10.1186/s12898-018-0165-0
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