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Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model
Sinadoxa corydalifolia is a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution of Sinadoxa corydalifolia in the three-river region (the sour...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465144/ https://www.ncbi.nlm.nih.gov/pubmed/32796753 http://dx.doi.org/10.3390/plants9081015 |
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author | Huang, Xiaotao Ma, Li Chen, Chunbo Zhou, Huakun Yao, Buqing Ma, Zhen |
author_facet | Huang, Xiaotao Ma, Li Chen, Chunbo Zhou, Huakun Yao, Buqing Ma, Zhen |
author_sort | Huang, Xiaotao |
collection | PubMed |
description | Sinadoxa corydalifolia is a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution of Sinadoxa corydalifolia in the three-river region (the source of the Yangtze River, Yellow River, and Lancang River) under the context of climate change using the maximum entropy (MaxEnt) model. Under the current climate scenario, the suitable distribution mainly occurred in Yushu County and Nangqian County. The suitable distribution area of Sinadoxa corydalifolia covered 3107 km(2), accounting for 0.57% of the three-river region. The mean diurnal air temperature range (Bio2), temperature seasonality (Bio4), and mean air temperature of the driest quarter (Bio9) contributed the most to the distribution model for Sinadoxa corydalifolia, with a cumulative contribution of 81.4%. The highest suitability occurred when air temperature seasonality (Bio4) ranged from 6500 to 6900. The highest suitable mean air temperature of the driest quarter ranged from −5 to 0 °C. The highest suitable mean diurnal temperature (Bio2) ranged from 8.9 to 9.7 °C. In future (2041–2060) scenarios, the suitable distribution areas of Sinadoxa corydalifolia from high to low are as follows: representative concentration pathway (RCP)26 (6171 km(2)) > RCP45 (6017 km(2)) > RCP80 (4238 km(2)) > RCP60 (2505 km(2)). In future (2061–2080) scenarios, the suitable distribution areas of Sinadoxa corydalifolia from high to low are as follows: RCP26 (18,299 km(2)) > RCP60 (11,977 km(2)) > RCP45 (10,354 km(2)) > RCP80 (7539 km(2)). In general, the suitable distribution will increase in the future. The distribution area of Sinadoxa corydalifolia will generally be larger under low CO(2) concentrations than under high CO(2) concentrations. This study will facilitate the development of appropriate conservation measures for Sinadoxa corydalifolia in the three-river region. |
format | Online Article Text |
id | pubmed-7465144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74651442020-09-04 Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model Huang, Xiaotao Ma, Li Chen, Chunbo Zhou, Huakun Yao, Buqing Ma, Zhen Plants (Basel) Article Sinadoxa corydalifolia is a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution of Sinadoxa corydalifolia in the three-river region (the source of the Yangtze River, Yellow River, and Lancang River) under the context of climate change using the maximum entropy (MaxEnt) model. Under the current climate scenario, the suitable distribution mainly occurred in Yushu County and Nangqian County. The suitable distribution area of Sinadoxa corydalifolia covered 3107 km(2), accounting for 0.57% of the three-river region. The mean diurnal air temperature range (Bio2), temperature seasonality (Bio4), and mean air temperature of the driest quarter (Bio9) contributed the most to the distribution model for Sinadoxa corydalifolia, with a cumulative contribution of 81.4%. The highest suitability occurred when air temperature seasonality (Bio4) ranged from 6500 to 6900. The highest suitable mean air temperature of the driest quarter ranged from −5 to 0 °C. The highest suitable mean diurnal temperature (Bio2) ranged from 8.9 to 9.7 °C. In future (2041–2060) scenarios, the suitable distribution areas of Sinadoxa corydalifolia from high to low are as follows: representative concentration pathway (RCP)26 (6171 km(2)) > RCP45 (6017 km(2)) > RCP80 (4238 km(2)) > RCP60 (2505 km(2)). In future (2061–2080) scenarios, the suitable distribution areas of Sinadoxa corydalifolia from high to low are as follows: RCP26 (18,299 km(2)) > RCP60 (11,977 km(2)) > RCP45 (10,354 km(2)) > RCP80 (7539 km(2)). In general, the suitable distribution will increase in the future. The distribution area of Sinadoxa corydalifolia will generally be larger under low CO(2) concentrations than under high CO(2) concentrations. This study will facilitate the development of appropriate conservation measures for Sinadoxa corydalifolia in the three-river region. MDPI 2020-08-11 /pmc/articles/PMC7465144/ /pubmed/32796753 http://dx.doi.org/10.3390/plants9081015 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Xiaotao Ma, Li Chen, Chunbo Zhou, Huakun Yao, Buqing Ma, Zhen Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title | Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title_full | Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title_fullStr | Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title_full_unstemmed | Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title_short | Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model |
title_sort | predicting the suitable geographical distribution of sinadoxa corydalifolia under different climate change scenarios in the three-river region using the maxent model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465144/ https://www.ncbi.nlm.nih.gov/pubmed/32796753 http://dx.doi.org/10.3390/plants9081015 |
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