Time scale selection and periodicity analysis of grassland drought monitoring index in Inner Mongolia

Wang, Qian; Liu, Xin; WANG, Zeyuan; Zhao, Lin; ZHANG, Qi-peng

doi:10.1016/j.gecco.2022.e02138

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…However, at the beginning of the implementation of water conservancy projects and the policy of changing farmland to grass, natural elements like the climate and hydrology of the region were not taken into consideration. The drastic change in the land use of the area increased the evaporation of soil in some parts of Inner Mongolia, thus causing an increase in the degree of drought in the land, with the phenomenon of soil desiccation becoming a common concern [53][54][55]. In this paper, by studying the drought, we discovered that the overall per-…”

Section: Discussionmentioning

confidence: 92%

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Liu,

Wang,

2023

Forests

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In the context of global warming, timely and accurate drought monitoring is of great importance to ensure regional ecological security and guide agricultural production. This study established the Drought Severity Index (DSI), based on the potential evapotranspiration (PET), evapotranspiration (ET) and normalized difference vegetation index (NDVI) data from 2001 to 2020, to compensate for the low accuracy of drought spatial and temporal evolution due to the uneven distribution of stations. The DSI index was established to reveal the spatial and temporal variation of droughts in Inner Mongolia in the past 20 years, using trend analysis, gravity shift and geographic probes, and to explore the influence of different factors on the DSI. The results were as follows. (1) The results showed that the spatial distribution of DSI in Inner Mongolia during 2001–2020 had strong spatial heterogeneity, and generally showed distribution characteristics of drought in the west and wet in the east. In addition, the changes in DSI all exhibited a rising tendency, with the highest tendency in deciduous broadleaf forests (DBF) and the lowest tendency in grassland (GRA). (2) The center of gravity of wet, normal and arid areas showed a migration trend from northeast to southwest, with migration distances of 209 km, 462 km and 826 km, respectively. (3) The four combinations of temperature and elevation, temperature and slope, temperature and land use, and temperature and rainfall contributed the most. The results obtained in this study are important for the scheduling of ecological early warnings and drought prevention and control.

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Section: Discussionmentioning

confidence: 92%

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Liu,

Wang,

2023

Forests

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“…Studies have shown that moisture is the dominant factor limiting vegetation growth and productivity enhancement, and the warming and humidifying shift in the climate of Northwest China in recent decades has provided a more favorable growth environment for vegetation [ 43 , 44 , 45 ]. Temporally, vegetation NDVI showed an overall increasing trend from 2001 to 2020, with an increasing slope of 0.003 a −1 , while the vegetation NDVI showed a significant decrease in 2009 and 2014, which was related to the major droughts that occurred in Inner Mongolia from 2009 to 2010 and in 2013 [ 46 ]. The drought caused a surplus and deficit of soil moisture on the one hand, leading to a decrease in the photosynthetic capacity of vegetation, and on the other hand, vegetation growth faced more severe water stress due to the acceleration of the evapotranspiration rate [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

Considering Climatic Factors, Time Lag, and Cumulative Effects of Climate Change and Human Activities on Vegetation NDVI in Yinshanbeilu, China

Wang,

Liu,

2023

Plants

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Climate and human activities are the basic driving forces that control and influence the spatial distribution and change of vegetation. Using trend analysis, the Hurst index, correlation analysis, the Moran index, path analysis, residual analysis, and other methods, the effects of human activities and climate factors on vegetation change were analyzed. The results show that: (1) The research area’s normalized difference vegetation index (NDVI) exhibited a substantial upward trend from 2001 to 2020, increasing at a rate of 0.003/a, and the vegetation cover was generally healthy. The generally constant NDVI region made up 78.45% of the entire area, and the grassland, cultivated land, and forest land showed the most visible NDVI aggregation features. (2) The Vegetation is mainly promoted by water and heat, particularly precipitation, have a major impact on plants, with the direct influence of precipitation on vegetation growth being much greater than the indirect effect through the temperature. (3) The trend of NDVI residuals showed obvious spatial variability, presenting a distribution characteristic of high in the south and low in the north. The results of this study can provide a basis for the scientific layout of ecological protection and restoration projects in the Yinshanbeilu area.

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“…However, for natural vegetation in arid and semi-arid regions, precipitation serves as its sole source of replenishment. Therefore, the occurrence of meteorological drought has profound effects on vegetation [23].…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al proposed a variable time scale grassland drought monitoring index and analyzed the evolution characteristics of grassland drought in the IM. They found that drought had a 17-year cycle and showed a slight attenuation trend after 2017 [23]. Although the above studies have explored drought in the IM from different perspectives, they rarely discuss the important role of drought in vegetation growth.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristics of Meteorological Drought and Its Impact on Vegetation in an Arid and Semi-Arid Region

Zhang,

Wang,

Lai

et al. 2023

Water

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Under the background of global climate warming, meteorological drought disasters have become increasingly frequent. Different vegetation types exhibit varying responses to drought, thus, exploring the heterogeneity of the impact of meteorological drought on vegetation is particularly important. In this study, we focused on Inner Mongolia (IM) as the research area and employed Standardized Precipitation Evapotranspiration Index (SPEI) and Vegetation Health Index (VHI) as meteorological drought and vegetation indices, respectively. The Breaks for Additive Seasons and Trend algorithm (BFAST) was utilized to reveal the dynamic characteristics of both meteorological drought and vegetation changes. Additionally, the Pixel-Based Trend Identification Method (PTIM) was employed to identify the trends of meteorological drought and vegetation during spring, summer, autumn, and the growing season. Subsequently, we analyzed the correlation between meteorological drought and vegetation growth. Finally, the response of vegetation growth to various climate factors was explored using the standardized multivariate linear regression method. The results indicated that: (1) During the study period, both SPEI and VHI exhibited a type of interrupted decrease. The meteorological drought was aggravated and the vegetation growth was decreased. (2) Deserts and grasslands exhibited higher sensitivity to meteorological drought compared to forests. The strongest correlation between SPEI-3 and VHI was observed in desert and grassland regions. In forest areas, the strongest correlation was found between SPEI-6 and VHI. (3) The r between severity of meteorological drought and status of vegetation growth was 0.898 (p < 0.01). Vegetation exhibits a more pronounced response to short-term meteorological drought events. (4) Evapotranspiration is the primary climatic driving factor in the IM. The findings of this study provide valuable insights for the rational utilization of water resources, the formulation of effective irrigation and replenishment policies, and the mitigation of the adverse impacts of meteorological drought disasters on vegetation growth in the IM.

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Time scale selection and periodicity analysis of grassland drought monitoring index in Inner Mongolia

Cited by 8 publications

References 20 publications

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Considering Climatic Factors, Time Lag, and Cumulative Effects of Climate Change and Human Activities on Vegetation NDVI in Yinshanbeilu, China

Dynamic Characteristics of Meteorological Drought and Its Impact on Vegetation in an Arid and Semi-Arid Region

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