Responses of vegetation productivity to multi-scale drought in Loess Plateau, China

Zhao, Anzhou; Zhang, Anbing; Cao, Shixiu; Liu, Xianfeng; Liu, Jianhong; Cheng, Dayu

doi:10.1016/j.catena.2017.12.016

Cited by 109 publications

(44 citation statements)

References 36 publications

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“…forest to shrubland (Jiang et al, 2013). A number of studies indicate that in the context of future climate change, global droughts will become more severe and frequent (Dai, 2013;Mu et al, 2014;Zhao et al, 2018), especially in arid and semi-arid regions (Mishra et al, 2010). As a result, studying the spatial and temporal distribution characteristics of drought in semi-arid and arid regions is critical.…”

Section: Introductionmentioning

confidence: 99%

Drought evolution characteristics of the Qinghai-Tibet Plateau over the last 100 years based on SPEI

Wang

Liu

Zhou

et al. 2021

Preprint

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Abstract. The standardized precipitation evapotranspiration index (SPEI) of the Tibetan Plateau was calculated using the CRU4.03 gridded dataset from 1901 to 2018 in this paper. Then, based on the SPEI data, drought on the Qinghai-Tibet Plateau was studied in terms of its spatial and temporal distributions and its changing characteristics over the last 100 years. The results revealed that the precipitation in the southeastern part of the Qinghai-Tibet Plateau has been steadily rising over the last 100 years, in conjunction with only minor temperature shifts. In the northwestern part of the plateau, precipitation has decreased significantly, accompanied by a significant increase in temperature. The drought on the Tibetan Plateau showed a clear gradual increase in aridity from southeast to northwest over the last hundred years. The SPEI also showed distinct seasonal patterns, steadily increasing in spring and summer and decreasing significantly in autumn and winter. In addition, each season had its own spatial characteristics. The northeastern part of the plateau, except the Qaidam Basin, showed a significant aridity trend in all seasons. A wet trend prevailed in the southeastern and southern areas. Drought on the Tibetan Plateau exhibits apparent cyclical oscillations with a main period of 54 years and has different cyclical characteristics in different seasons.

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Section: Introductionmentioning

confidence: 99%

Drought evolution characteristics of the Qinghai-Tibet Plateau over the last 100 years based on SPEI

Wang

Liu

Zhou

et al. 2021

Preprint

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“…The drought before the growing season will affect the surface water storage, and then it will affect the growth and development of vegetation [83,84]. Third, a drought index with a 12-month time scale is often used in studies on the relationship between drought and vegetation response [85][86][87][88]. However, future studies that comprehensively consider these factors and conduct more detailed analyses, such as identifying various extreme climate events within a vegetation region and analyzing their impacts on vegetation productivity within a certain time window, are necessary.…”

Section: Limitations and Research Prospectsmentioning

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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“…To calculate SPEI (Zhao et al, 2018), the monthly difference between precipitation (P) and potential evapotranspiration (PET) is used, in which the Thornthwaite method is used to calculate the PET, and monthly temperature as inputs. The difference between P and PET for the month i is calculated as follows:…”

Section: The Standardized Precipitation Evapotranspiration Index (Spei)mentioning

confidence: 99%

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

Zhou¹,

Zhang²,

Wang³

et al. 2019

Appl. Ecol. Env. Res.

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Responses of vegetation productivity to multi-scale drought in Loess Plateau, China

Cited by 109 publications

References 36 publications

Drought evolution characteristics of the Qinghai-Tibet Plateau over the last 100 years based on SPEI

Drought evolution characteristics of the Qinghai-Tibet Plateau over the last 100 years based on SPEI

Impacts of Heat and Drought on Gross Primary Productivity in China

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

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