Spatio-temporal dynamics of vegetation in Jungar Banner of China during 2000–2017

Li, Xinhui; Lei, Shaogang; Cheng, Wei; Liu, Feng; Wang, Weizhong

doi:10.1007/s40333-019-0067-9

Cited by 22 publications

(24 citation statements)

References 50 publications

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“…In the LLG coal mine, the vegetation and soil development degree of RA14, RA15, and RA16 were found to belong to VL, despite the improvement of the ES. Having knowledge of the plant composition in restoration areas, the main plant composition in the early stage of restoration was supposed to be grasses, in light of enhancing soil fertility [10]. With the increase in restoration age, the grass would deteriorate; thus, the vegetation and soil development degree of RA14, RA15, and RA16 would become PL, indicating that soil fertility was not fully used, and that the vegetation sparse areas could be properly replanted [45].…”

Section: The Change Law Of Ecological Stability Under Restoration Actmentioning

confidence: 99%

Analysis of Plant and Soil Restoration Process and Degree of Refuse Dumps in Open-Pit Coal Mining Areas

Lei

Li³

et al. 2020

IJERPH

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Vegetation and soil restoration are the key to ecological reconstruction in the damaged areas of open-pit coal mining areas. Ecological stability is an important indicator of the degree of ecological restoration. In this study, the ecological stability and the process of plant and soil restoration were investigated at different refuse dumps in three coal mines, namely, the Wulanhada (WLHD) coal mine, the Liulingou (LLG) coal mine, and the Jinzhengtai (JZT) coal mine, in Jungar Banner. Results show that organic matter, total N, available N, and available K increased with the increase in restoration age at the two coal mines of WLHD and LLG. In the JZT coal mine, organic matter, total N, and available K firstly increased, and then slightly decreased with the increase in restoration age. The redundancy analysis indicates that most reclaimed mine soil properties (including soil moisture content, organic matter, total N, and available K) are positively correlated with plant species diversity in the three coal mines, while soil pH and soil bulk density showed a negative correlation with plant species diversity. Plant parameters increased with the years since revegetation, except the Pielou index for the WLHD coal mine, and the Pielou and Margalef indexes for the JZT coal mine. The Euclidean distance between the restoration areas and the natural reference areas decreased with the increase in restoration age. Our findings suggest that, in the three coal mines, the change law of ecological stability conformed to the logistic succession model. The same degree of ecological stability in different refuse dumps may correspond to different degrees of vegetation and soil development. This study emphasizes that ecological restoration in mining areas could benefit the structure of the plant community and the recovery of soil properties, which would eventually improve the ecological stability of coal mining areas.

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Section: The Change Law Of Ecological Stability Under Restoration Actmentioning

confidence: 99%

Analysis of Plant and Soil Restoration Process and Degree of Refuse Dumps in Open-Pit Coal Mining Areas

Lei

Li³

et al. 2020

IJERPH

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“…We quantified the disturbance distance of mining activities on vegetation in three steps. First, six buffer zones (0–100 m, 100–300 m, 300–500 m, 500–700 m, 700–1000 m, and 1000–1500 m) along the boundaries of mine sites were set (Li et al., 2019; Zhang et al., 2015). Second, the temporal trend of annual GSN mean in the reference areas, reflecting the growth status and change trend of nature vegetation, was considered as the baseline for calculating the impact distance.…”

Section: Methodsmentioning

confidence: 99%

A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites

Jiang

Liu

et al. 2022

Remote Sens Ecol Conserv

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Vegetation dynamics and land use information are significant for a better understanding of the ecological consequences of multiple mining activities. However, the high spatial heterogeneity of mine sites and diverse disturbance and recovery pathways make it a challenge to understand the dynamics of multiple mine sites over large areas. Here, we proposed a general framework for continuous monitoring of land use and vegetation dynamics in multiple mine sites and applied it to Pingxiang, China. First, annual land use and land cover (LULC) maps from 2000 to 2019 were generated using a modified Continuous Change Detection and Classification approach (CCDC). Second, the locations and extents of 86 mine sites on different scales were mapped individually and then aggregated into five groups according to the similarity and differences of vegetation change. Vegetation dynamics showed great heterogeneity across sites driven primarily by the spatial-temporal variation in types and intensity of land use activities in and around the mine sites. We found the impact distance was typically 500-700 m in the region, but can be smaller than the potential impact distance in areas with land use activities. The long-term slow recovery of vegetation conditions at some sites indicates that it might be a challenge to improve vegetation conditions naturally in a short time and human-assisted restoration measures may be required. The systematic framework proposed in this study can be used to establish comprehensive and spatially-explicit mine datasets at the regional scale, essential for understanding the dynamics and ecological consequences of multiple mining activities and coordinated management and restoration of heterogeneous mine sites.

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“…The spatial-temporal dynamics of the arid environment (drought index) and climate (precipitation and temperature) in Central Asia were analyzed with univariate linear regression. The rate of change of TWSA, drought indexes (i.e., DSI, WSDI and SGI) was calculated respectively by Equation 3 [44].…”

Section: Linear Regression Analysismentioning

confidence: 99%

Temporal and Spatial Dynamics of Drought in Central Asia during 2002-2017 Based on Grace Data

Feng¹,

Zhang²,

Cao³

et al. 2021

Preprint

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With the influences of climate change and human activities, the resources and environment of “One Belt and One Road” are facing severe problems and challenges. This study aims to analyze the temporal and spatial dynamics of the drought environment and the response of vegetation cover to the drought by using drought indicators. Gravity Recovery and Climate Experiment (GRACE) drought severity index (GRACE-DSI) and GRACE water storage deficit index (GRACE-WSDI), were calculated to present hydrological drought. Moreover, based on GRACE, Water-Global Assessment and Prognosis (WaterGAP) model, and Global Land Data Assimilation System (GLDAS) data, the groundwater in Central Asia was retrieved to calculate the groundwater drought index called the GRACE Standardized Groundwater Level Index (GRACE-SGI). The results show that the annual precipitation in Central Asia increased slightly at a rate of 0.39 mm/year (p = 0.82) since 2000, while the temperature increased slightly at a rate of 0.05 ℃/year (p = 0.10). The water storage decreased significantly at -0.59 mm/year (p &lt;0.01) and experienced a decrease-increase-decrease process. During the study period, the arid situation in Central Asia deteriorated, especially in the eastern coast of the Caspian Sea and the Aral Sea basin. From 2007 to 2015, the Central Asian environment was generally arid and suffered from different du-rations and degrees of hydrological and groundwater droughts. The drought indicators (i.e., GRACE-DSI, GRACE-WSDI) and the NDVI showed a significantly positive correlation during the growing season. However, the NDVI of cultivated land and grassland distribution areas in Central Asia showed a strong negative correlation with GRACE-SGI. It is concluded that the drought environment in Central Asia affected the growth of vegetation. The continued deterioration of the arid situation may further stress the ecological system in Central Asia.

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Spatio-temporal dynamics of vegetation in Jungar Banner of China during 2000–2017

Cited by 22 publications

References 50 publications

Analysis of Plant and Soil Restoration Process and Degree of Refuse Dumps in Open-Pit Coal Mining Areas

Analysis of Plant and Soil Restoration Process and Degree of Refuse Dumps in Open-Pit Coal Mining Areas

A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites

Temporal and Spatial Dynamics of Drought in Central Asia during 2002-2017 Based on Grace Data

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