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Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios

Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a change in its suitable distribution and growth. However, the impact of climate change on its growth suitability is not clear. In this study, using...

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Autores principales: Cheng, Ruiming, Zhang, Jing, Wang, Xinyue, Ge, Zhaoxuan, Zhang, Zhidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933553/
https://www.ncbi.nlm.nih.gov/pubmed/36818869
http://dx.doi.org/10.3389/fpls.2023.1097688
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author Cheng, Ruiming
Zhang, Jing
Wang, Xinyue
Ge, Zhaoxuan
Zhang, Zhidong
author_facet Cheng, Ruiming
Zhang, Jing
Wang, Xinyue
Ge, Zhaoxuan
Zhang, Zhidong
author_sort Cheng, Ruiming
collection PubMed
description Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a change in its suitable distribution and growth. However, the impact of climate change on its growth suitability is not clear. In this study, using forest resource inventory data and spatially continuous environmental factor data (temperature, precipitation, topography, and soil) in Hebei and Shanxi Provinces, China, the random forest model (RF) was used to simulate the larch site index (SI) and growth suitability under three shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the current and future (2021–2040, 2041–2060 and 2080–2100). The results revealed that (1) RF had excellent performance in predicting the regional SI (R(2) = 0.73, MAE = 0.93 m, RMSE = 1.35 m); (2) the main factors affecting the productivity of larch were the mean temperature of the warmest quarter (BIO10), elevation (ELEV), mean diurnal range (BIO2), and annual precipitation (BIO12); and (3) larch currently had a higher SI in the Bashang areas and in the high-altitude mountains. The areas characterized as unsuitable, poorly suitable, moderately suitable, and highly suitable accounted for 15.45%, 42.12%, 31.94%, and 10.49% of the total area, respectively. (4) Future climate warming had an obvious inhibitory effect on the SI, and the effect strengthened with increasing radiation intensity and year. (5) The moderately suitable and highly suitable areas of larch growth showed a downward trend under future climate scenarios. By the end of this century, the suitable growth areas would decrease by 14.14% under SSP1-2.6, 15.17% under SSP2-4.5, and 19.35% under SSP5-8.5. The results revealed the impact of climate change on larch growth suitability, which can provide a scientific basis for larch forest management.
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spelling pubmed-99335532023-02-17 Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios Cheng, Ruiming Zhang, Jing Wang, Xinyue Ge, Zhaoxuan Zhang, Zhidong Front Plant Sci Plant Science Larix principis-rupprechtii Mayr (larch) is one of the main afforestation and timber production species used in North China. Climate change has led to a change in its suitable distribution and growth. However, the impact of climate change on its growth suitability is not clear. In this study, using forest resource inventory data and spatially continuous environmental factor data (temperature, precipitation, topography, and soil) in Hebei and Shanxi Provinces, China, the random forest model (RF) was used to simulate the larch site index (SI) and growth suitability under three shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, and SSP5-8.5) for the current and future (2021–2040, 2041–2060 and 2080–2100). The results revealed that (1) RF had excellent performance in predicting the regional SI (R(2) = 0.73, MAE = 0.93 m, RMSE = 1.35 m); (2) the main factors affecting the productivity of larch were the mean temperature of the warmest quarter (BIO10), elevation (ELEV), mean diurnal range (BIO2), and annual precipitation (BIO12); and (3) larch currently had a higher SI in the Bashang areas and in the high-altitude mountains. The areas characterized as unsuitable, poorly suitable, moderately suitable, and highly suitable accounted for 15.45%, 42.12%, 31.94%, and 10.49% of the total area, respectively. (4) Future climate warming had an obvious inhibitory effect on the SI, and the effect strengthened with increasing radiation intensity and year. (5) The moderately suitable and highly suitable areas of larch growth showed a downward trend under future climate scenarios. By the end of this century, the suitable growth areas would decrease by 14.14% under SSP1-2.6, 15.17% under SSP2-4.5, and 19.35% under SSP5-8.5. The results revealed the impact of climate change on larch growth suitability, which can provide a scientific basis for larch forest management. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9933553/ /pubmed/36818869 http://dx.doi.org/10.3389/fpls.2023.1097688 Text en Copyright © 2023 Cheng, Zhang, Wang, Ge and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Cheng, Ruiming
Zhang, Jing
Wang, Xinyue
Ge, Zhaoxuan
Zhang, Zhidong
Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title_full Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title_fullStr Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title_full_unstemmed Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title_short Predicting the growth suitability of Larix principis-rupprechtii Mayr based on site index under different climatic scenarios
title_sort predicting the growth suitability of larix principis-rupprechtii mayr based on site index under different climatic scenarios
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933553/
https://www.ncbi.nlm.nih.gov/pubmed/36818869
http://dx.doi.org/10.3389/fpls.2023.1097688
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