Comparative Analysis on Responses of Vegetation Productivity Relative to Different Drought Monitor Patterns in Karst Regions of Southwestern China

Zhou, Yanlin; Zhang, R; Wang, S X; Wang, F T; Qi, Yang

doi:10.15666/aeer/1701_085105

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…We used a total of seven predictor variables (Table 1) in order to explain the vegetation productivity. These variables were selected since they are related to the hypotheses of this study and widely considered potential drivers of vegetation productivity in Guizhou [35][36][37] . More details about these variables were provided below.…”

Section: Methodsmentioning

confidence: 99%

Bedrock geochemistry influences vegetation growth by regulating the regolith water holding capacity

et al. 2020

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Although low vegetation productivity has been observed in karst regions, whether and how bedrock geochemistry contributes to the low karstic vegetation productivity remain unclear. In this study, we address this knowledge gap by exploring the importance of bedrock geochemistry on vegetation productivity based on a critical zone investigation across a typical karst region in Southwest China. We show silicon and calcium concentrations in bedrock are strongly correlated with the regolith water loss rate (RWLR), while RWLR can predict vegetation productivity more effectively than previous models. Furthermore, the analysis based on 12 selected karst regions worldwide further suggest that lithological regulation has the potential to obscure and distort the influence of climate change. Our study implies that bedrock geochemistry could exert effects on vegetation growth in karst regions and highlights that the critical role of bedrock geochemistry for the karst region should not be ignored in the earth system model.

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Section: Methodsmentioning

confidence: 99%

Bedrock geochemistry influences vegetation growth by regulating the regolith water holding capacity

et al. 2020

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“…However, water balance is also related to evapotranspiration (Graham et al, 2019). Therefore, in analyzing climate effects on grassland vegetation, the drought index containing precipitation and evapotranspiration has an obvious advantage relative to precipitation (Zhou et al, 2019). The commonly used drought indicators are the SPI (Mckee et al, 1993), Palmer drought severity index (PDSI; Palmer, 1965), and SPEI (Vicente-Serrano et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Concurrent and lagged effects of drought on grassland net primary productivity: a case study in Xinjiang, China

et al. 2023

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Xinjiang grasslands play a crucial role in regulating the regional carbon cycle and maintaining ecosystem stability, and grassland net primary productivity (NPP) is highly vulnerable to drought. Drought events are frequent in Xinjiang due to the impact of global warming. However, there is a lack of more systematic research results on how Xinjiang grassland NPP responds to drought and how its heterogeneity is characterized. In this study, the CASA (Carnegie Ames Stanford Application) model was used to simulate the 1982–2020 grassland NPP in Xinjiang, and the standardized Precipitation Evapotranspiration Index (SPEI) was calculated using meteorological station data to characterize drought. The spatial and temporal variability of NPP and drought in Xinjiang grasslands from 1982 to 2020 were analyzed by the Sen trend method and the Mann-Kendall test, and the response characteristics of NPP to drought in Xinjiang grasslands were investigated by the correlation analysis method. The results showed that (1) the overall trend of NPP in Xinjiang grassland was increasing, and its value was growing season > summer > spring > autumn. Mild drought occurred most frequently in the growing season and autumn, and moderate drought occurred most frequently in spring. (2) A total of 64.63% of grassland NPP had a mainly concurrent effect on drought, and these grasslands were primarily located in the northern region of Xinjiang. The concurrent effect of drought on NPP was strongest in plain grassland and weakest in alpine subalpine grassland. (3) The lagged effect is mainly in the southern grasslands, the NPP of alpine subalpine meadows, meadows, and alpine subalpine grasslands showed mainly a 1-month time lag effect to drought, and desert grassland NPP showed mainly a 3-month time lag effect to drought. This research can contribute to a reliable theoretical basis for regional sustainable development.

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“…and vegetation types (broad-leaved forests, coniferous forests, etc.) [19,[28][29][30][31]. Regarding heat, a study by Ciais et al [32] showed that insufficient precipitation and an extreme increase in summer heat caused a decrease in vegetation productivity in Eastern and Western Europe in 2003.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Heat and Drought on Gross Primary Productivity in China

et al. 2021

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Heat and drought stress, which often occur together, are the main environmental factors limiting the survival and growth of vegetation. Studies on the response of gross primary production (GPP) to extreme climate events such as heat and drought are highly significant for the identification of ecologically vulnerable regions, ecological risk assessments, and ecological environmental protection. We got 1982–2017 climatic data from the University of East Anglia Climatic Research Unit, Norwich, England, and GPP data from National Earth System Science Data Sharing Service Platform, Beijing, China. Using Theil–Sen median trend analysis and the Mann–Kendall test, we analyzed trends in temperature and the standardized precipitation/standardized precipitation evapotranspiration indices in the eight vegetation regions of China. Additionally, the response of GPP to the single and combined impacts of heat and drought were analyzed using multidimensional copula functions, and GPP reduction probabilities were estimated under different drought levels and heat intensities. The results showed that the probability of a drastic GPP reduction increases with increasing drought levels and heat intensities. The combined impacts of heat and drought on vegetation productivity is greater than the impacts of either drought or heat alone and presents a nonlinear superposition of the two extremes. The impact of heat on GPP is not evident when the drought level is high. The temperate grassland and warm temperate deciduous broad-leaved forest regions are the most sensitive regions to drought and heat in China. This study provides a scientific basis for the comprehensive evaluation of the risk of GPP reduction under the single and combined impacts of heat stress and drought stress.

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Comparative Analysis on Responses of Vegetation Productivity Relative to Different Drought Monitor Patterns in Karst Regions of Southwestern China

Abstract: Zhou et al.: Comparative analysis on responses of vegetation productivity relative to different drought monitor patterns in karst regions of Southwestern China -85 -

Cited by 8 publications

References 29 publications

Bedrock geochemistry influences vegetation growth by regulating the regolith water holding capacity

Bedrock geochemistry influences vegetation growth by regulating the regolith water holding capacity

Concurrent and lagged effects of drought on grassland net primary productivity: a case study in Xinjiang, China

Impacts of Heat and Drought on Gross Primary Productivity in China

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