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Predicting distribution of Zanthoxylum bungeanum Maxim. in China

BACKGROUND: With the growth of economic benefits brought by Zanthoxylum bungeanum Maxim. and the increasing market demand, this species has been widely introduced and cultivated in China. It is important to scientifically select suitable areas for artificial planting and promotion, and to understand...

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Detalles Bibliográficos
Autores principales: Zhuo, Zhihang, Xu, Danping, Pu, Biao, Wang, Rulin, Ye, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422582/
https://www.ncbi.nlm.nih.gov/pubmed/32782004
http://dx.doi.org/10.1186/s12898-020-00314-6
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author Zhuo, Zhihang
Xu, Danping
Pu, Biao
Wang, Rulin
Ye, Meng
author_facet Zhuo, Zhihang
Xu, Danping
Pu, Biao
Wang, Rulin
Ye, Meng
author_sort Zhuo, Zhihang
collection PubMed
description BACKGROUND: With the growth of economic benefits brought by Zanthoxylum bungeanum Maxim. and the increasing market demand, this species has been widely introduced and cultivated in China. It is important to scientifically select suitable areas for artificial planting and promotion, and to understand the status and potential of Z. bungeanum resources. RESULTS: The maximum entropy (MaxEnt) model and ArcGIS technologies were used to analyze the climatic suitability of Z. bungeanum based on known distribution data, combined with environmental data in China. Z. bungeanum was mainly distributed in subtropical and mid-eastern warm temperate regions. The total suitable area (high and medium suitability) accounted for 32% of China’s total land area, with high suitability areas composing larger percentage, reaching 1.93 × 10(6) km(2). The suitable range (and optimum value) of the key environmental variables affecting the distribution of Z. bungeanum were the maximum temperature in February of 2.8–17.7 °C (10.4 °C), the maximum temperature in March of 8.6–21.4 °C (16.3 °C), the maximum temperature in December of 2.5–17.1 °C (9.9 °C), the maximum temperature in November of 7.7–22.2 °C (14.5 °C) and the mean temperature in March of 3.2–16.2 °C (12.0 °C). CONCLUSIONS: The model developed by MaxEnt was applicable to explore the environmental suitability of Z. bungeanum.
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spelling pubmed-74225822020-08-21 Predicting distribution of Zanthoxylum bungeanum Maxim. in China Zhuo, Zhihang Xu, Danping Pu, Biao Wang, Rulin Ye, Meng BMC Ecol Research Article BACKGROUND: With the growth of economic benefits brought by Zanthoxylum bungeanum Maxim. and the increasing market demand, this species has been widely introduced and cultivated in China. It is important to scientifically select suitable areas for artificial planting and promotion, and to understand the status and potential of Z. bungeanum resources. RESULTS: The maximum entropy (MaxEnt) model and ArcGIS technologies were used to analyze the climatic suitability of Z. bungeanum based on known distribution data, combined with environmental data in China. Z. bungeanum was mainly distributed in subtropical and mid-eastern warm temperate regions. The total suitable area (high and medium suitability) accounted for 32% of China’s total land area, with high suitability areas composing larger percentage, reaching 1.93 × 10(6) km(2). The suitable range (and optimum value) of the key environmental variables affecting the distribution of Z. bungeanum were the maximum temperature in February of 2.8–17.7 °C (10.4 °C), the maximum temperature in March of 8.6–21.4 °C (16.3 °C), the maximum temperature in December of 2.5–17.1 °C (9.9 °C), the maximum temperature in November of 7.7–22.2 °C (14.5 °C) and the mean temperature in March of 3.2–16.2 °C (12.0 °C). CONCLUSIONS: The model developed by MaxEnt was applicable to explore the environmental suitability of Z. bungeanum. BioMed Central 2020-08-11 /pmc/articles/PMC7422582/ /pubmed/32782004 http://dx.doi.org/10.1186/s12898-020-00314-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Zhuo, Zhihang
Xu, Danping
Pu, Biao
Wang, Rulin
Ye, Meng
Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title_full Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title_fullStr Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title_full_unstemmed Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title_short Predicting distribution of Zanthoxylum bungeanum Maxim. in China
title_sort predicting distribution of zanthoxylum bungeanum maxim. in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7422582/
https://www.ncbi.nlm.nih.gov/pubmed/32782004
http://dx.doi.org/10.1186/s12898-020-00314-6
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