Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling
Moso bamboo forest (MBF) is a special forest type widely distributed in subtropical regions with high carbon sequestration potential. However, climate change induced frequent drought events have significantly impacted its carbon fixation capacity, while the response mechanisms still unclear. In this...
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25000627 |
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| author | Zhaodong Zheng Fangjie Mao Huaqiang Du Xuejian Li Fengfeng Ye Xianfeng Teng Ningxin Yang Jiacong Yu Meixuan Song Yinyin Zhao |
| author_facet | Zhaodong Zheng Fangjie Mao Huaqiang Du Xuejian Li Fengfeng Ye Xianfeng Teng Ningxin Yang Jiacong Yu Meixuan Song Yinyin Zhao |
| author_sort | Zhaodong Zheng |
| collection | DOAJ |
| description | Moso bamboo forest (MBF) is a special forest type widely distributed in subtropical regions with high carbon sequestration potential. However, climate change induced frequent drought events have significantly impacted its carbon fixation capacity, while the response mechanisms still unclear. In this study, photosynthetic water stress module of BIOME-BGC was improved and optimized by long-term carbon flux observations from the Anji MBF site, then the temporal variations of Gross Primary Production (GPP) were simulated and analyzed from 2000 to 2019. Finally, Random Forest (RF) and Structural Equation Modeling (SEM) were implemented to explore the responses of GPP to drought during different periods of the growing season. The results indicate that: (1) The improved model significantly enhances the accuracy of GPP simulations, with correlation coefficients, root mean square error, and bias values of 0.86 ± 0.05, 1.18 ± 0.07, and 0.93 ± 0.05 g C m−2 day−1, respectively. (2) The GPP shows an overall increasing trend, averaging 1606.09 ± 45.48 g C m−2 yr−1, with reaching its peak in the 2019 growing season at 1682.75 g C m−2 season−1. Drought during different growing seasons (Rapid Growing Season, Main Growing Season, and Final Growing Season) led to decreases in daily GPP of 0.44, 0.52, and 0.28 g C m−2 day−1, respectively. (3) The combined analysis using RF and SEM reveals that temperature and stomatal conductance are the most critical environmental and physiological factors driving GPP variations. However, drought alters the pathways through which environmental factors influence physiological factors, with the main indirect environmental control factor shifting to vapor pressure deficit. |
| format | Article |
| id | doaj-art-bc2637e713ef454eaf6dd36d12e0afa6 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-bc2637e713ef454eaf6dd36d12e0afa62025-01-31T05:10:56ZengElsevierEcological Indicators1470-160X2025-01-01170113133Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modelingZhaodong Zheng0Fangjie Mao1Huaqiang Du2Xuejian Li3Fengfeng Ye4Xianfeng Teng5Ningxin Yang6Jiacong Yu7Meixuan Song8Yinyin Zhao9State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China; Corresponding author.State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaState Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China; School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, ChinaMoso bamboo forest (MBF) is a special forest type widely distributed in subtropical regions with high carbon sequestration potential. However, climate change induced frequent drought events have significantly impacted its carbon fixation capacity, while the response mechanisms still unclear. In this study, photosynthetic water stress module of BIOME-BGC was improved and optimized by long-term carbon flux observations from the Anji MBF site, then the temporal variations of Gross Primary Production (GPP) were simulated and analyzed from 2000 to 2019. Finally, Random Forest (RF) and Structural Equation Modeling (SEM) were implemented to explore the responses of GPP to drought during different periods of the growing season. The results indicate that: (1) The improved model significantly enhances the accuracy of GPP simulations, with correlation coefficients, root mean square error, and bias values of 0.86 ± 0.05, 1.18 ± 0.07, and 0.93 ± 0.05 g C m−2 day−1, respectively. (2) The GPP shows an overall increasing trend, averaging 1606.09 ± 45.48 g C m−2 yr−1, with reaching its peak in the 2019 growing season at 1682.75 g C m−2 season−1. Drought during different growing seasons (Rapid Growing Season, Main Growing Season, and Final Growing Season) led to decreases in daily GPP of 0.44, 0.52, and 0.28 g C m−2 day−1, respectively. (3) The combined analysis using RF and SEM reveals that temperature and stomatal conductance are the most critical environmental and physiological factors driving GPP variations. However, drought alters the pathways through which environmental factors influence physiological factors, with the main indirect environmental control factor shifting to vapor pressure deficit.http://www.sciencedirect.com/science/article/pii/S1470160X25000627Moso bamboo forestGrowing seasonGross primary productivityBIOME-BGC modelWater stress |
| spellingShingle | Zhaodong Zheng Fangjie Mao Huaqiang Du Xuejian Li Fengfeng Ye Xianfeng Teng Ningxin Yang Jiacong Yu Meixuan Song Yinyin Zhao Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling Ecological Indicators Moso bamboo forest Growing season Gross primary productivity BIOME-BGC model Water stress |
| title | Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling |
| title_full | Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling |
| title_fullStr | Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling |
| title_full_unstemmed | Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling |
| title_short | Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling |
| title_sort | drought induced shifts in gross primary production pathways in moso bamboo forests insights from improved biome bgc and structural equation modeling |
| topic | Moso bamboo forest Growing season Gross primary productivity BIOME-BGC model Water stress |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25000627 |
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