Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba
IntroductionUneven rainfall distribution alters tree water use patterns, ultimately influencing plantation establishment.MethodsBased on monthly rainfall, six drought levels were classified. Whole-tree sap flux and meteorological variables were monitored across these levels from 2010 to 2013 in a pu...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Forests and Global Change |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/ffgc.2025.1572414/full |
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| author | Xiaowei Zhao Liwei Zhu |
| author_facet | Xiaowei Zhao Liwei Zhu |
| author_sort | Xiaowei Zhao |
| collection | DOAJ |
| description | IntroductionUneven rainfall distribution alters tree water use patterns, ultimately influencing plantation establishment.MethodsBased on monthly rainfall, six drought levels were classified. Whole-tree sap flux and meteorological variables were monitored across these levels from 2010 to 2013 in a pure Schima superba plantation in South China. The relationships between daily transpiration (Tt) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to Tt.ResultsThe results indicate that monthly rainfall (RFt) significantly influences the sensitivity of these four environmental variables to Tt when RFt exceeds 300 mm (Level 6). Furthermore, when RFt is 300 mm or less (Levels 1–5), the sensitivity of these factors and their total contributions to Tt are independent of tree size.DiscussionOur findings indicate that the decoupling between Tt and environmental factors may be a significant characteristic of ongoing water stress during high rainfall months. Additionally, these findings enhance the predictive capability of machine learning models in assessing tree water use. |
| format | Article |
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| institution | OA Journals |
| issn | 2624-893X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Forests and Global Change |
| spelling | doaj-art-09ae86ed089b43e2ab0c641927fe92cb2025-08-20T02:28:46ZengFrontiers Media S.A.Frontiers in Forests and Global Change2624-893X2025-04-01810.3389/ffgc.2025.15724141572414Sensitivity of transpiration to influencing factors at varying drought levels in Schima superbaXiaowei Zhao0Liwei Zhu1School of Urban and Rural Planning and Architectural Engineering, Shangluo University, Shangluo, ChinaKey Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, ChinaIntroductionUneven rainfall distribution alters tree water use patterns, ultimately influencing plantation establishment.MethodsBased on monthly rainfall, six drought levels were classified. Whole-tree sap flux and meteorological variables were monitored across these levels from 2010 to 2013 in a pure Schima superba plantation in South China. The relationships between daily transpiration (Tt) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to Tt.ResultsThe results indicate that monthly rainfall (RFt) significantly influences the sensitivity of these four environmental variables to Tt when RFt exceeds 300 mm (Level 6). Furthermore, when RFt is 300 mm or less (Levels 1–5), the sensitivity of these factors and their total contributions to Tt are independent of tree size.DiscussionOur findings indicate that the decoupling between Tt and environmental factors may be a significant characteristic of ongoing water stress during high rainfall months. Additionally, these findings enhance the predictive capability of machine learning models in assessing tree water use.https://www.frontiersin.org/articles/10.3389/ffgc.2025.1572414/fulltranspirationwhite noiseSHAP valuessupport vector regressiontime series |
| spellingShingle | Xiaowei Zhao Liwei Zhu Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba Frontiers in Forests and Global Change transpiration white noise SHAP values support vector regression time series |
| title | Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba |
| title_full | Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba |
| title_fullStr | Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba |
| title_full_unstemmed | Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba |
| title_short | Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba |
| title_sort | sensitivity of transpiration to influencing factors at varying drought levels in schima superba |
| topic | transpiration white noise SHAP values support vector regression time series |
| url | https://www.frontiersin.org/articles/10.3389/ffgc.2025.1572414/full |
| work_keys_str_mv | AT xiaoweizhao sensitivityoftranspirationtoinfluencingfactorsatvaryingdroughtlevelsinschimasuperba AT liweizhu sensitivityoftranspirationtoinfluencingfactorsatvaryingdroughtlevelsinschimasuperba |