SPEI-based analysis of drought characteristics and trends in Hulun Buir grassland

Qin, 张钦 Zhang; Haiping, 唐海萍 Tang; Fengqi, 崔凤琪 Cui; Luwei, 戴路炜 Dai

doi:10.5846/stxb201807061481

Cited by 7 publications

(5 citation statements)

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“…This is consistent with the results of Na et al's study [46], which showed that extreme cold weather events showed a significant downward trend while extreme warm weather events showed an upward trend in Inner Mongolia, which may lead to enhanced evaporation and enhanced aridification. Zhang et al [47] analyzed the annual and seasonal climate change and drought characteristics and trends of Hulunbuir Grassland in the past 58 years and showed that the trend of aridification in Hulunbuir Grassland in the past 58 years was significant against the background of a significant increase in temperature and decrease in precipitation, which was consistent with the results of this paper. However, it is worth mentioning that Zhang et al believed that the SPEI index and the drought events in Hulunbuir Grassland after 2000 both showed that the trend of aridity in this region was more significant, which was different from the conclusion of this paper that the drought trend was the most significant after 1990.…”

Section: Discussionsupporting

confidence: 86%

Temporal and Spatial Changes of Drought Characteristics in Temperate Steppes in China from 1960 to 2020

Chen,

Zhang,

Zhou

et al. 2023

Sustainability

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To study the change in drought characteristics, it is helpful to explore the dynamics of drought, analyze the rules of drought, and prevent drought. The annual and seasonal standardized precipitation evapotranspiration index (SPEI) was calculated based on the meteorological data of the temperate steppe region of China from 1960 to 2020, and the spatio-temporal variation of drought characteristics was analyzed by combining the run-course theory to identify drought characteristics. The results show that: (1) During 1960–2020, the SPEI of the temperate steppe region fluctuated in the range of −1.5 to 1.5 and decreased significantly at a rate of −0.02·a−1 (p < 0.01). In general, there is an increasing trend of drought in the temperate steppe region. (2) There is little difference in the duration of drought in the four seasons, and the very low duration of drought is about 2 months. The cumulative drought intensity was higher in the semi-arid and semi-humid zones of the temperate zone. (3) The very low value of drought frequency occurred in summer, and the very high value of drought frequency occurred in winter. From SPEI-3 to SPEI-12, that is, from seasonal scale to interannual scale, with the increase of time scale, the distribution of the extreme value of drought frequency moved to the southwest, semi-arid, and arid areas. The frequency of the four drought levels showed light drought > middle drought > severe drought > extreme drought in all time scales and all zones.

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Section: Discussionsupporting

confidence: 86%

Temporal and Spatial Changes of Drought Characteristics in Temperate Steppes in China from 1960 to 2020

Chen,

Zhang,

Zhou

et al. 2023

Sustainability

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“…It is based on the rescaled extreme deviation analysis (R/S) method, which takes values from 0 to 1, where a value of 0.5 indicates that the time series is randomly wandering. A value between 0 and 0.5 indicates an inverse time series persistence, while a value between 0.5 and 1 indicates a positive persistence of the time series [51][52][53]. This study classified the Hurst index into six categories based on the range of H values, 0 < H < 0.2, 0.2 < H < 0.35, 0.35 < H < 0.5, 0.5 < H < 0.65, 0.65 < H < 0.75, and H > 0.75, which represents strong anti-sustainability, medium anti-sustainability, weak anti-sustainability, weak sustainability, medium sustainability, and strong sustainability, respectively.…”

Section: Hurst Index Based On R/s Analysismentioning

confidence: 99%

Vegetation Growth Response and Trends after Water Deficit Exposure in the Loess Plateau, China

et al. 2023

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Understanding the impact of water availability on vegetation growth in the context of climate change is crucial for assessing the resilience of vegetation to environmental shifts. In this study, the relationship between vegetation growth and water availability was studied using a variety of indicators. The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Solar-Induced Chlorophyll Fluorescence (SIF) were utilized as vegetation growth indicators, while the standardized precipitation evapotranspiration index (SPEI) and soil moisture indicators served as water use indices. To investigate the vegetation response to water deficit in the Loess Plateau during the growing season from 2000 to 2020, Spearman’s rank correlation coefficients were calculated using a 5-year sliding window approach. The spatial and temporal heterogeneity of vegetation response to water deficit during the growing seasons were also explored. The results showed that: (1) with the improvement of moisture conditions, vegetation growth recovered significantly, and there was no expansion trend for vegetation water deficit. (2) The most sensitive timescale of vegetation to water deficit was 6–8 months; the response degree and sensitivity of vegetation to water surplus and deficit were the highest from June to August; and broadleaved forest was the vegetation type most sensitive to water deficit in the early growing season, while grass was the vegetation type most sensitive to water deficit during the mid and late growing seasons. (3) Soil moisture emerged as the dominant factor influencing vegetation growth in the Loess Plateau, followed by precipitation, albeit to a lesser extent. These findings contribute to understanding the mechanism and characteristics of the response of vegetation to climate fluctuations induced by global climate change.

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“…The western and northern parts of the grassland share borders with Mongolia and Russia, respectively (Figure 1). The study area has a mid-temperate continental climate with an average monthly maximum temperature of 22 °C, minimum temperature of −24 °C, average annual temperature of −1.5 °C, and annual precipitation of around 320 mm [34]…”

Section: Study Areamentioning

confidence: 99%

Spatial and Temporal Variability of Grassland Grasshopper Habitat Suitability and Its Main Influencing Factors

Wei

Lin

et al. 2022

Remote Sensing

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Grasshoppers are highly destructive pests, and their outbreak can directly damage livestock development. Grasshopper outbreaks can be monitored and forecasted through dynamic analysis of their potential geographic distribution and main influencing factors. By integrating vegetation, edaphic, meteorological, topography, and other geospatial data, this study simulated the grasshopper suitability index in Hulunbuir grassland using maximum entropy species distribution modeling (Maxent). The Maxent model showed high accuracy, with the training area under the curve (AUC) value ranging from 0.897 to 0.973 and the testing AUC ranging from 0.853 to 0.971 for the past 13 years. The results showed that suitable areas, including the most suitable area and moderately suitable area, accounted for a small proportion and were mainly located in the eastern and southern parts of the study area. According to model analysis based on 51 environmental factors, not all factors played a significant role in the grasshopper cycle. Moreover, differences in environmental factors drive the spatial variability of suitable areas for grasshoppers. The monitoring and prediction of potential outbreak areas can be improved by identifying major environmental factors having large variability between suitable and unsuitable areas. Future trends in grasshopper suitability indices are likely to contradict past trends in most of the study area, with only approximately 33% of the study area continuing the past trend. The results are expected to guide future monitoring and prediction of grasshoppers in Hulunbuir grassland.

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SPEI-based analysis of drought characteristics and trends in Hulun Buir grassland

Cited by 7 publications

References 0 publications

Temporal and Spatial Changes of Drought Characteristics in Temperate Steppes in China from 1960 to 2020

Temporal and Spatial Changes of Drought Characteristics in Temperate Steppes in China from 1960 to 2020

Vegetation Growth Response and Trends after Water Deficit Exposure in the Loess Plateau, China

Spatial and Temporal Variability of Grassland Grasshopper Habitat Suitability and Its Main Influencing Factors

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