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Spatiotemporal patterns and drivers of cultivated land conversion in Inner Mongolia Autonomous Region,northern China
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作者 Xijiri ZHOU Ruiping +1 位作者 BAO Baorong Burenjirigala 《Journal of Arid Land》 SCIE CSCD 2024年第9期1197-1213,共17页
Protection and optimization of cultivated land resources are of great significance to national food security.Cultivated land conversion in northern China has increased in recent years due to the industrialization and ... Protection and optimization of cultivated land resources are of great significance to national food security.Cultivated land conversion in northern China has increased in recent years due to the industrialization and urbanization of society.However,the assessment of cultivated land conversion in this area is insufficient,posing a potential risk to cultivated land resources.This study evaluated the evolution and spatiotemporal patterns of cultivated land conversion in Inner Mongolia Autonomous Region,China,and the driving factors to improve rational utilization and to protect cultivated land resources.The spatiotemporal patterns of cultivated land conversion in Inner Mongolia were analyzed using the cultivated land conversion index,kernel density analysis,a standard deviation ellipse model,and a geographic detector.Results showed that from 2000 to 2020,the trends in cultivated land conversion area and rate in Inner Mongolia exhibited fluctuating growth,with the total area of cultivated land conversion reaching 7307.59 km^(2) at a rate of 6.69%.Spatial distribution of cultivated land conversion was primarily concentrated in the Hetao Plain,Nengjiang Plain,Liaohe Plain,and the Hohhot-Baotou-Ordos urban agglomeration.Moreover,the standard deviational ellipse of cultivated land conversion in Inner Mongolia exhibited a directional southwest-northeast-southwest-northeast distribution,with the northeast-southwest direction identified as the main driving force of spatial change in cultivated land conversion.Meanwhile,cultivated land conversion exhibited an increase-decrease-increase change process,indicating that spatial distribution of cultivated land conversion in Inner Mongolia became gradually apparent within the study period.The geographic detector results further revealed that the main driving factors of cultivated land conversion in Inner Mongolia were the share of secondary and tertiary industries and per-unit area yield of grain,with explanatory rates of 57.00%,55.00%,and 51.00%,respectively.Additionally,improved agricultural production efficiency and the coordinated development of population urbanization and industry resulted in cultivated land conversion.Collectively,the findings of this study indicated that,from 2000 to 2020,the cultivated land conversion in Inner Mongolia was significant and fluctuated in time,and had strong spatial heterogeneity.The primary drivers of these events included the effects of agriculture,population,and social economy. 展开更多
关键词 cultivated land conversion spatiotemporal variation standard deviation elliptical models geographic detector northern China
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Groundwater level thresholds for maintaining groundwater-dependent ecosystems in northwest China:Current developments and future challenges
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作者 Ming-yang Li Chao-zhu Li +2 位作者 Feng Dong Peng Jiang Yong-qiang Li 《Journal of Groundwater Science and Engineering》 2024年第4期453-462,共10页
Groundwater-Dependent Ecosystems(GDEs)in the arid region of northwest China are crucial for maintaining ecological balance and biodiversity.However,the ongoing decline in groundwater levels caused by excessive groundw... Groundwater-Dependent Ecosystems(GDEs)in the arid region of northwest China are crucial for maintaining ecological balance and biodiversity.However,the ongoing decline in groundwater levels caused by excessive groundwater exploitation poses a potential threat to GDEs.This paper reviews the current developments and future challenges associated with defining groundwater level thresholds for maintaining GDEs in arid regions.It focuses on methods for identifying and investigating these thresholds,with particular attention to recent advances in northwest China.Additionally,this paper highlights the limitations and future challenges in determining these thresholds,including the complexities of ecological processes,groundwater systems,data availability,and methodological constraints.To address these issues,a multidisciplinary approach that incorporates new technologies,such as multi-source data fusion,machine learning models,and big data and cloud computing,will be essential.By overcoming these challenges and utilizing effective methods,appropriate groundwater level thresholds can be established to ensure the longterm sustainability of GDEs. 展开更多
关键词 Arid region VEGETATION Groundwater level threshold Depth to water table Groundwaterdependent ecosystems(GDEs)
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