Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783570033591451648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7422582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhuozhihang predictingdistributionofzanthoxylumbungeanummaximinchina AT xudanping predictingdistributionofzanthoxylumbungeanummaximinchina AT pubiao predictingdistributionofzanthoxylumbungeanummaximinchina AT wangrulin predictingdistributionofzanthoxylumbungeanummaximinchina AT yemeng predictingdistributionofzanthoxylumbungeanummaximinchina |