Precipitation and vegetation transpiration variations dominate the dynamics of agricultural drought characteristics in China

Guo, Wenwen; Huang, Shengzhi; Huang, Qiang; She, Dunxian; Shi, Haiyun; Leng, Guoyong; Li, Ji; Cheng, Liwen; Gao, Yue; Peng, Jian

doi:10.1016/j.scitotenv.2023.165480

Cited by 23 publications

(9 citation statements)

References 53 publications

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“…Potential evapotranspiration is the most important driver of basin-scale drought characteristics and affects vegetation growth [75]. In this study, both annual potential evapotranspiration and growing season potential evapotranspiration were unfavourable to vegetation growth in the Yinshanbeilu grassland region.…”

Section: Effects Of Other Climatic Factors On Vegetationmentioning

confidence: 74%

Contribution of Climatic Factors and Human Activities to Vegetation Changes in Arid Grassland

Tuo,

Xu,

Zhang

et al. 2024

Sustainability

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Clarifying the changing trend in vegetation and its affecting variables is extremely valuable for natural resource management. Vegetation changes in the Yinshanbeilu grassland region, which is situated in the centre of Inner Mongolia in northern China and is part of the arid steppe region, are extremely sensitive to climatic factors. In this study, we investigated the changes in vegetation in the Yinshanbeilu grassland zone from the year 2000 to 2020 using the Normalized Difference Vegetation Index (NDVI) data. The contribution of climatic conditions and human activities to the annual and growing season vegetation changes was quantified. The findings revealed that vegetation cover in the Yinshanbeilu grassland zone increased at a rate of 0.00267/a between 2000 and 2020. Throughout the year and during the growing season, precipitation had a greater influence on the growth of vegetation than other climatological factors. In most places, there was a significant positive correlation between the NDVI and precipitation, which negatively correlated with other climatic factors. The average rates at which precipitation, temperature, cumulative sunshine hours, and potential evapotranspiration contributed to changes in NDVI were 0.00173/a, −0.00027/a, 0.00006/a, and 0.00074/a, respectively, for the entire year, and 0.00180/a, −0.00001/a, 0.00021/a, and 0.00059/a for the growing season. The impact of climate change on vegetation activities was more pronounced, accounting for 84.76% of annual NDVI change and 97.36% of growing season NDVI change. Humans contributed 15.24% of total annual NDVI change and 2.64% of growing season NDVI change. This research’s findings serve as scientific support for preserving the environment in the Yinshanbeilu grassland region, as well as an essential reference for government decision making.

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Section: Effects Of Other Climatic Factors On Vegetationmentioning

confidence: 74%

Contribution of Climatic Factors and Human Activities to Vegetation Changes in Arid Grassland

Tuo,

Xu,

Zhang

et al. 2024

Sustainability

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“…Miao et al identified that P is the main driving factor of vegetation growth that can reduce the possibility of drought disasters when analyzing drought characteristics and influencing factors in Inner Mongolia [51]. Guo et al also pointed out that precipitation in Northern China can slow down drought and has a positive impact on it, which plays a dominant role in the dynamic characteristics of drought [52]. It is worth noting that the cross-wavelet energy spectrum and condensation spectrum of the four meteorological factors and SSMI all have significant resonance periods of different time scales in the 21st century, which corresponds to the above research results, indicating that agricultural drought has occurred frequently and with high intensity since the 21st century.…”

Section: Driving Factor Analysismentioning

confidence: 99%

Section: Advantages and Limitationsmentioning

confidence: 99%

Analysis of Agricultural Drought Evolution Characteristics and Driving Factors in Inner Mongolia Inland River Basin Based on Three-Dimensional Recognition

Zhang,

Guo,

Feng

et al. 2024

Water

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Agricultural drought events have become more frequent in the Inner Mongolia inland river basin in recent years, and the spatio-temporal evolution characteristics and development rules can be accurately and comprehensively understood using the three-dimensional identification method. In this paper, standardized soil moisture index (SSMI) was used to characterize agricultural drought, and modified Mann–Kendall trend test (MMK) and 3D recognition of drought events were used to analyze the spatio-temporal evolution characteristics of agricultural drought events in this basin and reveal the drought development law. The relationships between drought and temperature (T), precipitation (P), evapotranspiration (E), and humidity (H) were analyzed using a cross-wavelet method. The results are as follows: (1) When the time scale of agricultural drought was short (monthly scale), the alternations of dry and wet were frequent, but the SSMI index of all scales showed a downward trend; (2) The spatial distribution characteristics of drought change trend in four seasons were similar, but the area with a significant downward trend of drought in spring was the largest, and the area of high frequency region was also the largest, and the drought trend was the most obvious; (3) The most serious agricultural drought event occurred from October 2000 to May 2002, and reached its maximum value in September 2001 (drought area and drought severity of 2.26 × 105 km2 and 3.61 × 105 months·km2, respectively), which mainly experienced five processes—drought onset–intensification–decay–re-intensification–termination—and the migration path of the drought center showed the characteristics of southwest–northeast transmission; (4) All the four meteorological factors were correlated with SSMI, and P had a greater impact on SSMI. This article aims to reveal the spatio-temporal evolution of agricultural drought events in the Inner Mongolia inland river basin, and provide a new way to accurately evaluate the spatio-temporal evolution of drought.

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“…Moreover, the relationship between vegetation activities and droughts, especially flash drought, has been frequently investigated (Ahmad et al., 2022; L. Chen et al., 2021; Guo et al., 2023; Otkin et al., 2016; Piao et al., 2020; Xi & Yuan, 2022; M. Zhang et al., 2022). Recent studies have underscored that flash drought occurrences could be indeed associated with vegetation activities (S. Li & Sawada, 2022; W. Li et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Guo et al. (2023) found that the enhanced transpiration anomalies have contributed to the intensification of soil moisture drought in China. Under climate change, the contribution of vegetation transpiration to the reduction of soil moisture is projected to amplify (M. Li et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Viewing Soil Moisture Flash Drought Onset Mechanism and Their Changes Through XAI Lens: A Case Study in Eastern China

Feng,

Li,

et al. 2024

Water Resources Research

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Soil moisture flash droughts often pose significant challenges to humans and ecosystems, with wide‐ranging socioeconomic consequences. However, the underlying mechanisms of flash droughts and their changes remain unquantified. Taking China as a case study, we present a novel framework that combines machine learning with interpretable and cluster techniques to investigate flash drought mechanisms from 1980 to 2018. We first quantified the temporal contribution of drivers and further identified different mechanisms during drought onsets. We subsequently investigated the temporal changes in different mechanisms and classified drought event types. We identified four driving mechanism types triggering drought: Concurrent precipitation, Antecedent‐concurrent precipitation, Antecedent temperature‐concurrent precipitation, and Antecedent transpiration‐concurrent precipitation. The total effects from vegetation transpiration contributed to around 50% of the impacts for mechanisms involving antecedent transpiration and concurrent precipitation, highlighting the non‐neglectable role of vegetation water consumption in drought occurrences. Remarkably, about 60% of flash drought onsets exhibited close association with the antecedent anomalies, which contribute approximately 50% of overall effects, emphasizing the importance of the cumulative effects of drivers. Moreover, driving mechanisms associated with temperature and transpiration increased significantly over time, implying an elevated influence of these factors on droughts. Our classification of drought events reveals that nearly 70% of events were driven by at least two mechanisms, underscoring a complex time‐varying pattern of driving factors during drought events. The proposed holistic framework not only sheds insight into the multifaceted mechanisms driving flash droughts within China but also extends its potential applicability to broader geographical contexts.

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Precipitation and vegetation transpiration variations dominate the dynamics of agricultural drought characteristics in China

Cited by 23 publications

References 53 publications

Contribution of Climatic Factors and Human Activities to Vegetation Changes in Arid Grassland

Contribution of Climatic Factors and Human Activities to Vegetation Changes in Arid Grassland

Analysis of Agricultural Drought Evolution Characteristics and Driving Factors in Inner Mongolia Inland River Basin Based on Three-Dimensional Recognition

Viewing Soil Moisture Flash Drought Onset Mechanism and Their Changes Through XAI Lens: A Case Study in Eastern China

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