Arid
DOI10.1016/j.ecolind.2023.110290
Detecting long-term effects of mining-induced ground deformation on plant succession in semi-arid areas using a cellular automata model
Mi, Jiaxin; Hou, Huping; Zhang, Shaoliang; Hua, Yifei; Yang, Yongjun; Zhu, Yuanli; Ding, Zhongyi
通讯作者Mi, JX
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2023
卷号151
英文摘要Mining-induced ground deformation affects various plant communities in different ways. However, little is known about the effects of ground deformation on plant succession; no known quantitative approach currently exists to detecting the long-term effects. To address this issue, a plant community succession model based on cellular automata was developed. Plant succession over 30 years within a subsidence area in the Yungang mining area in China was simulated and compared under mining and non-mining scenarios, including under two sets of initial conditions (vegetated and bare). The normalized mean square error was applied to test the accuracy of the plant community succession model and to reveal the effects of ground deformation at the patch scale, which was 0.06-0.59 for simulated and observed plant patterns. Landscape indicators including contagion, patch cohesion, interspersion and juxtaposition, Shannon's diversity, Shannon's evenness, and aggregation indices were calculated and compared to reveal the effects of mine subsidence at the landscape scale. The results showed that the interspersion and juxtaposition, Shannon's diversity, Shannon's evenness, and aggregation indices were significantly influenced by ground deformation (P < 0.05) under vegetated conditions, indicating that ground deformation resulted in a loose, isolated, and mixed pattern of vegetation. In terms of the shrub and tree communities, the normalized mean square errors fluctuated at a high level under bare conditions, especially at the patch scale of 10 x 10 m, where it remained at greater than 0.5. Overall, mining-induced ground deformation had long-term effects on plant succession by limiting tree communities and promoting shrub communities, as well as by leading to a heterogenous vegetation pattern. Ground deformation altered the topography of the previously mined area, influencing hydrological processes such as rainfall, infiltration, and evaporation, which were closely related to plant succession. Although these long-term effects were not directly a result of ground deformation, changes in the topography of a subsidence area would interfere with the spontaneous succession of plant communities. Therefore, the long-term effects of mining-induced ground deformation should be considered during the ecological restoration of a mining area, which can promote the application of nature-based solutions and the natural regeneration of plant communities.
英文关键词Underground mining Loess Plateau Plant pattern Landscape indicator Cellular automata
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000988898000001
WOS关键词VEGETATION DISTURBANCE ; SOIL PROPERTIES ; RESTORATION ; SUBSIDENCE ; DYNAMICS
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/395934
推荐引用方式
GB/T 7714
Mi, Jiaxin,Hou, Huping,Zhang, Shaoliang,et al. Detecting long-term effects of mining-induced ground deformation on plant succession in semi-arid areas using a cellular automata model[J],2023,151.
APA Mi, Jiaxin.,Hou, Huping.,Zhang, Shaoliang.,Hua, Yifei.,Yang, Yongjun.,...&Ding, Zhongyi.(2023).Detecting long-term effects of mining-induced ground deformation on plant succession in semi-arid areas using a cellular automata model.ECOLOGICAL INDICATORS,151.
MLA Mi, Jiaxin,et al."Detecting long-term effects of mining-induced ground deformation on plant succession in semi-arid areas using a cellular automata model".ECOLOGICAL INDICATORS 151(2023).
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