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Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change

Climate change will significantly affect plant distribution as well as the quality of medicinal plants. Although numerous studies have analyzed the effect of climate change on future habitats of plants through species distribution models (SDMs), few of them have incorporated the change of effective...

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Autores principales: Guo, Yanlong, Wei, Haiyan, Lu, Chunyan, Gao, Bei, Gu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075693/
https://www.ncbi.nlm.nih.gov/pubmed/27781160
http://dx.doi.org/10.7717/peerj.2554
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author Guo, Yanlong
Wei, Haiyan
Lu, Chunyan
Gao, Bei
Gu, Wei
author_facet Guo, Yanlong
Wei, Haiyan
Lu, Chunyan
Gao, Bei
Gu, Wei
author_sort Guo, Yanlong
collection PubMed
description Climate change will significantly affect plant distribution as well as the quality of medicinal plants. Although numerous studies have analyzed the effect of climate change on future habitats of plants through species distribution models (SDMs), few of them have incorporated the change of effective content of medicinal plants. Schisandra sphenanthera Rehd. et Wils. is an endangered traditional Chinese medical plant which is mainly located in the Qinling Mountains. Combining fuzzy theory and a maximum entropy model, we obtained current spatial distribution of quality assessment for S. spenanthera. Moreover, the future quality and distribution of S. spenanthera were also projected for the periods 2020s, 2050s and 2080s under three different climate change scenarios (SRES-A1B, SRES-A2 and SRES-B1 emission scenarios) described in the Special Report on Emissions Scenarios (SRES) of IPCC (Intergovernmental Panel on Climate Change). The results showed that the moderately suitable habitat of S. sphenanthera under all climate change scenarios remained relatively stable in the study area. The highly suitable habitat of S. sphenanthera would gradually decrease in the future and a higher decline rate of the highly suitable habitat area would occur under climate change scenarios SRES-A1B and SRES-A2. The result suggested that in the study area, there would be no more highly suitable habitat areas for S. sphenanthera when the annual mean temperature exceeds 20 °C or its annual precipitation exceeds 1,200 mm. Our results will be influential in the future ecological conservation and management of S. sphenanthera and can be taken as a reference for habitat suitability assessment research for other medicinal plants.
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spelling pubmed-50756932016-10-25 Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change Guo, Yanlong Wei, Haiyan Lu, Chunyan Gao, Bei Gu, Wei PeerJ Biodiversity Climate change will significantly affect plant distribution as well as the quality of medicinal plants. Although numerous studies have analyzed the effect of climate change on future habitats of plants through species distribution models (SDMs), few of them have incorporated the change of effective content of medicinal plants. Schisandra sphenanthera Rehd. et Wils. is an endangered traditional Chinese medical plant which is mainly located in the Qinling Mountains. Combining fuzzy theory and a maximum entropy model, we obtained current spatial distribution of quality assessment for S. spenanthera. Moreover, the future quality and distribution of S. spenanthera were also projected for the periods 2020s, 2050s and 2080s under three different climate change scenarios (SRES-A1B, SRES-A2 and SRES-B1 emission scenarios) described in the Special Report on Emissions Scenarios (SRES) of IPCC (Intergovernmental Panel on Climate Change). The results showed that the moderately suitable habitat of S. sphenanthera under all climate change scenarios remained relatively stable in the study area. The highly suitable habitat of S. sphenanthera would gradually decrease in the future and a higher decline rate of the highly suitable habitat area would occur under climate change scenarios SRES-A1B and SRES-A2. The result suggested that in the study area, there would be no more highly suitable habitat areas for S. sphenanthera when the annual mean temperature exceeds 20 °C or its annual precipitation exceeds 1,200 mm. Our results will be influential in the future ecological conservation and management of S. sphenanthera and can be taken as a reference for habitat suitability assessment research for other medicinal plants. PeerJ Inc. 2016-10-20 /pmc/articles/PMC5075693/ /pubmed/27781160 http://dx.doi.org/10.7717/peerj.2554 Text en ©2016 Guo et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Guo, Yanlong
Wei, Haiyan
Lu, Chunyan
Gao, Bei
Gu, Wei
Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title_full Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title_fullStr Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title_full_unstemmed Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title_short Predictions of potential geographical distribution and quality of Schisandra sphenanthera under climate change
title_sort predictions of potential geographical distribution and quality of schisandra sphenanthera under climate change
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075693/
https://www.ncbi.nlm.nih.gov/pubmed/27781160
http://dx.doi.org/10.7717/peerj.2554
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