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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-9933553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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