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Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios

Rhodiola L. has high nutritional and medicinal value. Little is known about the properties of its habitat distribution and the important eco-environmental factors shaping its suitability. Rhodiola coccinea (Royle) Boriss., Rhodiola gelida Schrenk, Rhodiola kirilowii (Regel) Maxim., and Rhodiola quad...

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Autores principales: Yang, Meilin, Sun, Lingxiao, Yu, Yang, Zhang, Haiyan, Malik, Ireneusz, Wistuba, Małgorzata, Yu, Ruide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648157/
https://www.ncbi.nlm.nih.gov/pubmed/37960089
http://dx.doi.org/10.3390/plants12213735
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author Yang, Meilin
Sun, Lingxiao
Yu, Yang
Zhang, Haiyan
Malik, Ireneusz
Wistuba, Małgorzata
Yu, Ruide
author_facet Yang, Meilin
Sun, Lingxiao
Yu, Yang
Zhang, Haiyan
Malik, Ireneusz
Wistuba, Małgorzata
Yu, Ruide
author_sort Yang, Meilin
collection PubMed
description Rhodiola L. has high nutritional and medicinal value. Little is known about the properties of its habitat distribution and the important eco-environmental factors shaping its suitability. Rhodiola coccinea (Royle) Boriss., Rhodiola gelida Schrenk, Rhodiola kirilowii (Regel) Maxim., and Rhodiola quadrifida (Pall.) Fisch. et Mey., which are National Grade II Protected Plants, were selected for this research. Based on high-resolution environmental data for the past, current, and future climate scenarios, we modeled the suitable habitat for four species by MaxEnt, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. The results indicate that the growth distribution of R. coccinea, R. kirilowii, and R. quadrifida is most affected by bio10 (mean temperature of warmest quarter), bio3 (isothermality), and bio12 (annual precipitation), whereas that of R. gelida is most affected by bio8 (mean temperature of wettest quarter), bio13 (precipitation of wettest month), and bio16 (precipitation of wettest quarter). Under the current climate scenario, R. coccinea and R. quadrifida are primarily distributed in Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, and according to the 2070 climate scenario, the suitable habitats for both species are expected to expand. On the other hand, the suitable habitats for R. gelida and R. kirilowii, which are primarily concentrated in southwestern Xinjiang, Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, are projected to decrease under the 2070 climate scenario. Given these results, the four species included in our study urgently need to be subjected to targeted observation management to ensure the renewal of Rhodiola communities. In particular, R. gelida and R. kirilowii should be given more attention. This study provides a useful reference with valuable insights for developing effective management and conservation strategies for these four nationally protected plant species.
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spelling pubmed-106481572023-10-31 Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios Yang, Meilin Sun, Lingxiao Yu, Yang Zhang, Haiyan Malik, Ireneusz Wistuba, Małgorzata Yu, Ruide Plants (Basel) Article Rhodiola L. has high nutritional and medicinal value. Little is known about the properties of its habitat distribution and the important eco-environmental factors shaping its suitability. Rhodiola coccinea (Royle) Boriss., Rhodiola gelida Schrenk, Rhodiola kirilowii (Regel) Maxim., and Rhodiola quadrifida (Pall.) Fisch. et Mey., which are National Grade II Protected Plants, were selected for this research. Based on high-resolution environmental data for the past, current, and future climate scenarios, we modeled the suitable habitat for four species by MaxEnt, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. The results indicate that the growth distribution of R. coccinea, R. kirilowii, and R. quadrifida is most affected by bio10 (mean temperature of warmest quarter), bio3 (isothermality), and bio12 (annual precipitation), whereas that of R. gelida is most affected by bio8 (mean temperature of wettest quarter), bio13 (precipitation of wettest month), and bio16 (precipitation of wettest quarter). Under the current climate scenario, R. coccinea and R. quadrifida are primarily distributed in Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, and according to the 2070 climate scenario, the suitable habitats for both species are expected to expand. On the other hand, the suitable habitats for R. gelida and R. kirilowii, which are primarily concentrated in southwestern Xinjiang, Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, are projected to decrease under the 2070 climate scenario. Given these results, the four species included in our study urgently need to be subjected to targeted observation management to ensure the renewal of Rhodiola communities. In particular, R. gelida and R. kirilowii should be given more attention. This study provides a useful reference with valuable insights for developing effective management and conservation strategies for these four nationally protected plant species. MDPI 2023-10-31 /pmc/articles/PMC10648157/ /pubmed/37960089 http://dx.doi.org/10.3390/plants12213735 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Meilin
Sun, Lingxiao
Yu, Yang
Zhang, Haiyan
Malik, Ireneusz
Wistuba, Małgorzata
Yu, Ruide
Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title_full Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title_fullStr Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title_full_unstemmed Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title_short Predicting the Potential Geographical Distribution of Rhodiola L. in China under Climate Change Scenarios
title_sort predicting the potential geographical distribution of rhodiola l. in china under climate change scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648157/
https://www.ncbi.nlm.nih.gov/pubmed/37960089
http://dx.doi.org/10.3390/plants12213735
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