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Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model

Climate change will significantly affect the distribution area of species. Through establishing distribution model, we can simulate the current and future potential distribution range and provide reference for the introduction and cultivation planning of rare or economic plants. Dendrocalamus sinicu...

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Detalles Bibliográficos
Autores principales: Dou, Peitong, Dong, Yuran, Chen, Lingna, Yang, Han-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354798/
https://www.ncbi.nlm.nih.gov/pubmed/35935247
http://dx.doi.org/10.7717/peerj.13847
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author Dou, Peitong
Dong, Yuran
Chen, Lingna
Yang, Han-Qi
author_facet Dou, Peitong
Dong, Yuran
Chen, Lingna
Yang, Han-Qi
author_sort Dou, Peitong
collection PubMed
description Climate change will significantly affect the distribution area of species. Through establishing distribution model, we can simulate the current and future potential distribution range and provide reference for the introduction and cultivation planning of rare or economic plants. Dendrocalamus sinicus, endemic to Yunnan Province of China, is the strongest woody bamboo in the world. In the present study, the MaxEnt model was performed to simulate the distribution of different types of D. sinicus in China and neighboring countries or regions. The results suggested that the suitable distribution range of “straight type”, the main type for cultivation and utilization, was 8°–30°N and 73°–122°E under the current climate conditions, while the potential distribution range of “bending type” was 6°–31°N and 79°–109°E. The two most key climate variables associated with distribution of “straight type” were “Temperature Annual Range” with 36.6% contribution rate and “Temperature Seasonality” (32.4%), while “Isothermality” (47.8%) and “Precipitation of Driest Month” (24.8%) for “bending type”. Under different climate change scenarios (SSP1-2.6, SSP5-8.5) and periods (2050, 2090), the potential distribution area of the “straight type” were apparently different, indicating that the distribution area of D. sinicus will be affected significantly by climate changes in the future. Our findings would be not only beneficial to understanding limiting factors for natural distribution of D. sinicus, but also helpful for further germplasm conservation, introduction and cultivation planning of this rare woody bamboo.
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spelling pubmed-93547982022-08-06 Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model Dou, Peitong Dong, Yuran Chen, Lingna Yang, Han-Qi PeerJ Biodiversity Climate change will significantly affect the distribution area of species. Through establishing distribution model, we can simulate the current and future potential distribution range and provide reference for the introduction and cultivation planning of rare or economic plants. Dendrocalamus sinicus, endemic to Yunnan Province of China, is the strongest woody bamboo in the world. In the present study, the MaxEnt model was performed to simulate the distribution of different types of D. sinicus in China and neighboring countries or regions. The results suggested that the suitable distribution range of “straight type”, the main type for cultivation and utilization, was 8°–30°N and 73°–122°E under the current climate conditions, while the potential distribution range of “bending type” was 6°–31°N and 79°–109°E. The two most key climate variables associated with distribution of “straight type” were “Temperature Annual Range” with 36.6% contribution rate and “Temperature Seasonality” (32.4%), while “Isothermality” (47.8%) and “Precipitation of Driest Month” (24.8%) for “bending type”. Under different climate change scenarios (SSP1-2.6, SSP5-8.5) and periods (2050, 2090), the potential distribution area of the “straight type” were apparently different, indicating that the distribution area of D. sinicus will be affected significantly by climate changes in the future. Our findings would be not only beneficial to understanding limiting factors for natural distribution of D. sinicus, but also helpful for further germplasm conservation, introduction and cultivation planning of this rare woody bamboo. PeerJ Inc. 2022-08-02 /pmc/articles/PMC9354798/ /pubmed/35935247 http://dx.doi.org/10.7717/peerj.13847 Text en ©2022 Dou 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 Biodiversity
Dou, Peitong
Dong, Yuran
Chen, Lingna
Yang, Han-Qi
Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title_full Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title_fullStr Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title_full_unstemmed Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title_short Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model
title_sort modeling the potential distribution of different types of dendrocalamus sinicus, the strongest woody bamboo in the world, with maxent model
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354798/
https://www.ncbi.nlm.nih.gov/pubmed/35935247
http://dx.doi.org/10.7717/peerj.13847
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