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Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata

BACKGROUND: Gastrodia elata is widely used in China as a valuable herbal medicine. Owing to its high medicinal and nutrient value, wild resources of G. elata have been overexploited and its native areas have been severely damaged. Understanding the impacts of climate change on the distribution of th...

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Autores principales: Hu, Juan, Feng, Ying, Zhong, Haotian, Liu, Wei, Tian, Xufang, Wang, Yehong, Tan, Tao, Hu, Zhigang, Liu, Yifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373646/
https://www.ncbi.nlm.nih.gov/pubmed/37520262
http://dx.doi.org/10.7717/peerj.15741
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author Hu, Juan
Feng, Ying
Zhong, Haotian
Liu, Wei
Tian, Xufang
Wang, Yehong
Tan, Tao
Hu, Zhigang
Liu, Yifei
author_facet Hu, Juan
Feng, Ying
Zhong, Haotian
Liu, Wei
Tian, Xufang
Wang, Yehong
Tan, Tao
Hu, Zhigang
Liu, Yifei
author_sort Hu, Juan
collection PubMed
description BACKGROUND: Gastrodia elata is widely used in China as a valuable herbal medicine. Owing to its high medicinal and nutrient value, wild resources of G. elata have been overexploited and its native areas have been severely damaged. Understanding the impacts of climate change on the distribution of this endangered species is important for the conservation and sustainable use of G. elata. METHODS: We used the optimized maximum entropy model to simulate the potential distribution of G. elata under contemporary and future time periods (1970–2000, 2050s, 2070s, and 2090s) and different climate change scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Under these conditions, we investigated the key environmental factors influencing the distribution of G. elata as well as the spatial and temporal characteristics of its niche dynamics. RESULTS: With high Maxent model accuracy (AUCmean = 0.947 ± 0.012, and the Kappa value is 0.817), our analysis revealed that annual precipitation, altitude, and mean temperature of driest quarter are the most important environmental factors influencing the distribution of G. elata. Under current bioclimatic conditions, the potentially suitable area for G. elata in China is 71.98 × 10(4) km(2), while the highly suitable region for G. elata growth is 7.28 × 10(4) km(2). Our models for three future periods under four climate change scenarios indicate that G. elata can maintain stable distributions in southern Shaanxi, southwestern Hubei, and around the Sichuan basin, as these areas are highly suitable for its growth. However, the center of the highly suitable areas of G. elata shift depending on different climatic scenarios. The values of niche overlap for G. elata show a decreasing trend over the forecasted periods, of which the niche overlap under the SSP3-7.0 scenario shows the greatest decrease. DISCUSSIONS: Under the condition of global climate change in the future, our study provides basic reference data for the conservation and sustainable utilization of the valuable and endangered medicinal plant G. elata. It is important to carefully choose the protection area of G. elata wild resources according the suitable area conditions modeled. Moreover, these findings will be valuable for providing insights into the breeding and artificial cultivation of this plant, including the selection of suitable areas for planting.
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spelling pubmed-103736462023-07-28 Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata Hu, Juan Feng, Ying Zhong, Haotian Liu, Wei Tian, Xufang Wang, Yehong Tan, Tao Hu, Zhigang Liu, Yifei PeerJ Agricultural Science BACKGROUND: Gastrodia elata is widely used in China as a valuable herbal medicine. Owing to its high medicinal and nutrient value, wild resources of G. elata have been overexploited and its native areas have been severely damaged. Understanding the impacts of climate change on the distribution of this endangered species is important for the conservation and sustainable use of G. elata. METHODS: We used the optimized maximum entropy model to simulate the potential distribution of G. elata under contemporary and future time periods (1970–2000, 2050s, 2070s, and 2090s) and different climate change scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Under these conditions, we investigated the key environmental factors influencing the distribution of G. elata as well as the spatial and temporal characteristics of its niche dynamics. RESULTS: With high Maxent model accuracy (AUCmean = 0.947 ± 0.012, and the Kappa value is 0.817), our analysis revealed that annual precipitation, altitude, and mean temperature of driest quarter are the most important environmental factors influencing the distribution of G. elata. Under current bioclimatic conditions, the potentially suitable area for G. elata in China is 71.98 × 10(4) km(2), while the highly suitable region for G. elata growth is 7.28 × 10(4) km(2). Our models for three future periods under four climate change scenarios indicate that G. elata can maintain stable distributions in southern Shaanxi, southwestern Hubei, and around the Sichuan basin, as these areas are highly suitable for its growth. However, the center of the highly suitable areas of G. elata shift depending on different climatic scenarios. The values of niche overlap for G. elata show a decreasing trend over the forecasted periods, of which the niche overlap under the SSP3-7.0 scenario shows the greatest decrease. DISCUSSIONS: Under the condition of global climate change in the future, our study provides basic reference data for the conservation and sustainable utilization of the valuable and endangered medicinal plant G. elata. It is important to carefully choose the protection area of G. elata wild resources according the suitable area conditions modeled. Moreover, these findings will be valuable for providing insights into the breeding and artificial cultivation of this plant, including the selection of suitable areas for planting. PeerJ Inc. 2023-07-24 /pmc/articles/PMC10373646/ /pubmed/37520262 http://dx.doi.org/10.7717/peerj.15741 Text en ©2023 Hu 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, 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 Agricultural Science
Hu, Juan
Feng, Ying
Zhong, Haotian
Liu, Wei
Tian, Xufang
Wang, Yehong
Tan, Tao
Hu, Zhigang
Liu, Yifei
Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title_full Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title_fullStr Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title_full_unstemmed Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title_short Impact of climate change on the geographical distribution and niche dynamics of Gastrodia elata
title_sort impact of climate change on the geographical distribution and niche dynamics of gastrodia elata
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373646/
https://www.ncbi.nlm.nih.gov/pubmed/37520262
http://dx.doi.org/10.7717/peerj.15741
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