Temporal evolution of soil drought stress and its relationship with climate change for tea plantations in the subtropical–warm temperate climate transition zone of China

Tea ( Camellia sinensis (L.) Kuntze) plantation represents one of the most important artificial vegetation types in the subtropical–warm temperate climate transition zone of China. Soil drought stress is an important factor limiting the growth of tea plantation, but its long-term evolution characteristics and relationship with climate change have yet to be quantitatively analyzed. In this study, we employed the Biome-BGCMuSo model to simulate ecohydrological dynamics over the past 60 years (1961–2020) for tea plantations in the climate transition zone. The long-term evolution of soil drought stress was analyzed based on the annual and seasonal average soil drought stress index (AveSDSI). The relationships between the interannual trends and fluctuations of AveSDSI with climate factors were further examined through factorial simulations and partial correlation analysis, respectively. The results indicated the Biome-BGCMuSo model effectively simulated the soil moisture dynamics in tea plantations in the study area. From 1961–2020, annual and seasonal AveSDSI both exhibited increasing trends, with a significant linear relationship between spring AveSDSI and time. The 11-year moving standard deviation of both annual and spring AveSDSI showed significant increasing trends, indicating intensified interannual fluctuations in soil drought stress. Factorial simulations and partial correlation analysis revealed vapor pressure deficit (VPD) and precipitation were the primary factors influencing the interannual variability of AveSDSI, respectively dominating the interannual trend and fluctuation of annual AveSDSI. Notable seasonal differences were also evident. These findings provide an important foundation for optimizing management and disaster mitigation for tea plantations in the climate transition zone. • Biome-BGCMuSo model effectively simulated soil moisture dynamics in tea plantation. • Long-term dynamics of soil drought stress (SDS) were simulated for tea plantation. • SDS showed an increasing trend with intensified interannual fluctuations. • Increasing vapor pressure deficit drove the rising interannual SDS trend. • Precipitation was the primary factor controlling interannual fluctuation of SDS.

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Publication Details

Journal
Agricultural Water Management
Published
2025-07-26
DOI
https://doi.org/10.1016/j.agwat.2025.109695
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
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article

Temporal evolution of soil drought stress and its relationship with climate change for tea plantations in the subtropical–warm temperate climate transition zone of China

Songzhu Ye, Jiqiang Niu, Chong Yao, Miao Cai et al.
Agricultural Water Management
Plant Water Relations and Carbon Dynamics
article

Temporal evolution of soil drought stress and its relationship with climate change for tea plantations in the subtropical–warm temperate climate transition zone of China

Songzhu Ye, Jiqiang Niu, Chong Yao, Miao Cai, Shuangfeng Jiang, Zhongdian Zhang, Wei Zhang, Junhui Yan, Tonghui Liu, Mingbin Huang
article en

Abstract

Tea ( Camellia sinensis (L.) Kuntze) plantation represents one of the most important artificial vegetation types in the subtropical–warm temperate climate transition zone of China. Soil drought stress is an important factor limiting the growth of tea plantation, but its long-term evolution characteristics and relationship with climate change have yet to be quantitatively analyzed. In this study, we employed the Biome-BGCMuSo model to simulate ecohydrological dynamics over the past 60 years (1961–2020) for tea plantations in the climate transition zone. The long-term evolution of soil drought stress was analyzed based on the annual and seasonal average soil drought stress index (AveSDSI). The relationships between the interannual trends and fluctuations of AveSDSI with climate factors were further examined through factorial simulations and partial correlation analysis, respectively. The results indicated the Biome-BGCMuSo model effectively simulated the soil moisture dynamics in tea plantations in the study area. From 1961–2020, annual and seasonal AveSDSI both exhibited increasing trends, with a significant linear relationship between spring AveSDSI and time. The 11-year moving standard deviation of both annual and spring AveSDSI showed significant increasing trends, indicating intensified interannual fluctuations in soil drought stress. Factorial simulations and partial correlation analysis revealed vapor pressure deficit (VPD) and precipitation were the primary factors influencing the interannual variability of AveSDSI, respectively dominating the interannual trend and fluctuation of annual AveSDSI. Notable seasonal differences were also evident. These findings provide an important foundation for optimizing management and disaster mitigation for tea plantations in the climate transition zone. • Biome-BGCMuSo model effectively simulated soil moisture dynamics in tea plantation. • Long-term dynamics of soil drought stress (SDS) were simulated for tea plantation. • SDS showed an increasing trend with intensified interannual fluctuations. • Increasing vapor pressure deficit drove the rising interannual SDS trend. • Precipitation was the primary factor controlling interannual fluctuation of SDS.

Agricultural Water ManagementVol. 318
Climate action
Openalex Percentile: Top 83%
Plant Water Relations and Carbon Dynamics
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