Vegetation community composition along disturbance gradients of four typical open‐pit mines in Yunnan Province of southwest China

Hou, Xiyong; Liu, Shiliang; Cheng, Fangyan; Zhang, Yue‐qiu; Su, Xukun; Li, Guohua

doi:10.1002/ldr.3234

Cited by 18 publications

(12 citation statements)

References 38 publications

(42 reference statements)

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“…The results of this study are similar to those of Hou et al (2019) and Firozjaei et al (2021) [21,58]. In Hou's study, the disturbance effect of vegetation was similar in the IML, recovery area, and control area, and the negative impact of the IML on vegetation was distinctly higher than that of the other contrastive areas [59]. The expansion of the IML is dominated by the occupation of low-coverage grassland and marshland, which have higher vegetation coverage than other land cover classifications, and the reduction in the high coverage type is one of the main reasons for the decrease in the NDVI in the area of the IML.…”

Section: Effect Of Expansion Of Industrial and Mining Land On Vegetat...supporting

confidence: 90%

Complex Ecosystem Impact of Rapid Expansion of Industrial and Mining Land on the Tibetan Plateau

et al. 2022

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The ecological security of the Tibetan Plateau is vital for sustainable development. In recent years, biodiversity loss and ecosystem degradation caused by industrial and mining activities have attracted wide attention. However, a synthesis assessment of the impacts of industrial and mining land (IML) on the ecosystem is currently lacking. In this study, based on the land cover data and normalized differential vegetation index, we used the landscape ecological index, Theil-Sen trend analysis and equivalent value factors method to evaluate the change in IML and its ecosystem impact on the TP. The results demonstrated that the area of IML expanded by 3.3 times (228.56%) during 1990–2020, and reached 968.95 km² in 2020. Within this area, the newly added, stable, and reduced areas were 842.71, 126.26, and 168.65 km², respectively. Simultaneously, IML expansion made the landscape more fragmented during 1990–2020. The number of patches, splitting index, and landscape shape index in 2020 increased by 3.59-, 2.70-, and 1.90-fold compared to those in 1990, respectively. Furthermore, the difference in the vegetation change between the IML and its 10 km buffer zone was significant. About 77.34% of the vegetation in the IML area showed a trend of decrease, while about 76.51% of the vegetation in the buffer zone of IML showed a trend of increase. In addition, the expansion of IML also reduced the total ecological services value by USD 6969.31 million (0.66%) from 1990 to 2020. However, the lowered value was USD 8649.50 million (0.82%) in the newly added IML. This study highlights the rapid expansion of IML and reveals the ecosystem structure, ecosystem quality, and ecosystem service impact on the TP, which helps guide ecosystem protection and the sustainable development of mining.

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Section: Effect Of Expansion Of Industrial and Mining Land On Vegetat...supporting

confidence: 90%

Complex Ecosystem Impact of Rapid Expansion of Industrial and Mining Land on the Tibetan Plateau

et al. 2022

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“…Human actives and global climate change are believed to be two major factors influencing vegetation community complexity changes (Fang et al., 2018; Komatsu et al., 2019), which can both lead to either losses or gains in vegetation community complexity. For example, vegetation community complexity may increase in areas with vegetation restoration and conservation efforts (Bryan et al., 2018; Y. Li et al., 2018; Piao et al., 2015; Strassburg et al., 2017), while decrease in areas with resource overexploitation (e.g., mining, farming, and grazing activities, which may eliminate vegetation coverage or alter vegetation community type) (Fang et al., 2018; Hou et al., 2019; Tian et al., 2014; Y. Wang et al., 2020). Similarly, global climate change may increase vegetation community complexity in areas with extended growing season length (Fang et al., 2004; Fridley et al., 2016; Jeong et al., 2011), while reduce it in areas with an increasing frequency of extreme climate events (e.g., droughts, floods) (Bronstert, 2003; Fettig et al., 2019; Sankaran, 2019).…”

Section: Introductionmentioning

confidence: 99%

Human‐Climate Coupled Changes in Vegetation Community Complexity of China Since 1980s

Guan

et al. 2022

Earth's Future

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Vegetation community complexity is a critical factor influencing terrestrial ecosystem stability. China, the country leading the world in vegetation greening resulting from human activities, has experienced dramatic changes in vegetation community composition during the past 30 years. However, how China's vegetation community complexity varies spatially and temporally remains unclear. Here, we examined the spatial pattern of China's vegetation community complexity and its temporal changes from the 1980s to 2015 using two vegetation maps of China as well as more than half a million field samples. Spatially, China's vegetation community complexity distribution is primarily dominated by elevation, although temperature and precipitation can be locally more influential than elevation when they become the factors limiting plant growth. Temporally, China's vegetation community complexity shows a significant decreasing trend during the past 30 years, despite the observed vegetation greening trend. Prevailing climate warming across China exhibits a significant negative correlation with the decrease in vegetation community complexity, but this correlation varies with biogeographical regions. The intensity of human activities have an overall negative influence on vegetation community complexity, but vegetation conservation and restoration efforts can have a positive effect on maintaining vegetation composition complexity, informing the critical role of vegetation management policies in achieving the sustainable development goal.

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“…However, there are some situations where the land features experienced fluctuations in area extent, probably due to seasonal and climatic factors. For example, if the precipitation amount is below normal in a particular year, it can contribute to the decline in vegetation abundance (Li et al 2016;Hou et al 2019). The result from the study also highlights that there was an increase in vegetation cover during the period of investigation, whereas These significant impacts on the natural land-cover classes in the study area need proper monitoring which is crucial for environmental sustainability and restoration.…”

Section: Resultsmentioning

confidence: 81%

Spatial evaluation of land-use dynamics in gold mining area using remote sensing and GIS technology

Orimoloye

Ololade

2020

Int. J. Environ. Sci. Technol.

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Gold mining operations generate a range of ecological and environmental impacts that can be measured spatially using geographic information system and remote sensing methods. This study assessed land-use and land-cover dynamics in the gold mining area using geographic information system and remote sensing techniques with the aid of Landsat 5 for years 1984, 1994, 2004 and Landsat 8 for 2014 and 2019 obtained from the United States Geological Survey and Remote Pixel Databases using ArcGIS 10.4 and R programming. The result from the study revealed the current changes and how they have evolved over the years where tailings dam and built-up areas increased from 90.5 to 172.9 km 2 between the year 1984 and 2019, while mine effluent (return water ponds) and water bodies increased from 14.7 to 18.8 km 2 during the same period. The area also experienced increased vegetation from 342.5 to 371.1 km 2 (though fluctuating during the study period) an indication that the area has witnessed revegetation in the area. Results from the study further revealed the vegetation health in the area utilises some vegetation indices such as the Global Environmental Monitoring Index, Normalised Difference Impervious Surface Index and Normalised Difference Moisture Index. Findings from the study show that areas with low index values are susceptible to the impact of mining and other anthropogenic activities, whereas high-index areas connote little or no impact. The outcome of this study provides a cost-effective tool for evaluating environmental impacts in mining areas that can drive policy interventions for remediation in affected areas.

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Vegetation community composition along disturbance gradients of four typical open‐pit mines in Yunnan Province of southwest China

Cited by 18 publications

References 38 publications

Complex Ecosystem Impact of Rapid Expansion of Industrial and Mining Land on the Tibetan Plateau

Complex Ecosystem Impact of Rapid Expansion of Industrial and Mining Land on the Tibetan Plateau

Human‐Climate Coupled Changes in Vegetation Community Complexity of China Since 1980s

Spatial evaluation of land-use dynamics in gold mining area using remote sensing and GIS technology

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