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Zhiping Zhang
University of Chinese Academy of Sciences, Beijing 100049, China

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Journal article
Published: 27 July 2021 in Remote Sensing
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The center of gravity of China’s new cropland has shifted from Northeast China to the Xinjiang oasis areas where the ecological environment is relatively fragile. However, we currently face a lack of a comprehensive review of the cropland expansion in oasis areas of Xinjiang, which is importantly associated with the sustainable use of cropland, social stability and oasis ecological security. In this study, the land use remote sensing monitoring data in 1990, 2000, 2010 and 2018 were used to comprehensively analyze the process characteristics, different modes and driving mechanisms of the cropland expansion in Xinjiang, as well as its spatial heterogeneity at the oasis area level. The results revealed that cropland in Xinjiang continued to expand from 5803 thousand hectares in 1990 to 8939 thousand hectares in 2018 and experienced three stages of expansion: steady expansion, rapid expansion, and slow expansion. The center of gravity of cropland showed the characteristic of shifting to the South. Edge expansion and encroachment on grassland were the dominant spatial pattern mode and land use conversion mode of Xinjiang’s cropland expansion, respectively. The expansion of cropland in Xinjiang was affected by multiple factors. Irrigation conditions played a dominant role. Topography indirectly affected cropland expansion by affecting the suitability of agricultural production and development. Population growth and farmers’ income were important driving forces. There was significant spatial heterogeneity in the intensity, mode and driving force of cropland expansion among different oasis areas in Xinjiang. The spatial shift of China’s new cropland has occupied a large amount of water resources and ecological land in Xinjiang and exacerbated the vulnerability of the ecosystem in arid regions. The key to sustainable management of cropland in Xinjiang in the future lies in maintaining an appropriate scale of cropland and promoting the coordinated development of cropland, population, water resources and industry.

ACS Style

Tianyi Cai; Xinhuan Zhang; Fuqiang Xia; Zhiping Zhang; Jingjing Yin; Shengqin Wu. The Process-Mode-Driving Force of Cropland Expansion in Arid Regions of China Based on the Land Use Remote Sensing Monitoring Data. Remote Sensing 2021, 13, 2949 .

AMA Style

Tianyi Cai, Xinhuan Zhang, Fuqiang Xia, Zhiping Zhang, Jingjing Yin, Shengqin Wu. The Process-Mode-Driving Force of Cropland Expansion in Arid Regions of China Based on the Land Use Remote Sensing Monitoring Data. Remote Sensing. 2021; 13 (15):2949.

Chicago/Turabian Style

Tianyi Cai; Xinhuan Zhang; Fuqiang Xia; Zhiping Zhang; Jingjing Yin; Shengqin Wu. 2021. "The Process-Mode-Driving Force of Cropland Expansion in Arid Regions of China Based on the Land Use Remote Sensing Monitoring Data." Remote Sensing 13, no. 15: 2949.

Journal article
Published: 28 September 2020 in Sustainability
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Against the background of China’s relaxation of family planning standards, this thesis analyzed the demographic trends in ethnic minority areas and their impacts on regional development under China’s adjustment of its population strategy. By setting up different fertility scenarios, the population forecasting software (PADIS-INT) was applied to forecast the population scale and structure of the Hotan region. This thesis analyzed the impacts of population growth on regional sustainable development from the perspectives of employment, economic development, and resource carrying capacity to provide references for the formulation and implementation of population and economic development policies in minority areas, to alleviate the contradiction between the human and environment. The results showed that the Hotan region would maintain a relatively fast population growth rate for a long period; by 2050, its population would skew younger when compared to China’s general statistics. However, due to the lagging economic development and the constraints to resources and the environment, unemployment would become the most severe problem hampering regional development. While developing its local economy, the Hotan region needs to better promote the interregional migration of the labor force.

ACS Style

Jinwei Huo; Xinhuan Zhang; Zhiping Zhang; Yaning Chen. Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment. Sustainability 2020, 12, 8021 .

AMA Style

Jinwei Huo, Xinhuan Zhang, Zhiping Zhang, Yaning Chen. Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment. Sustainability. 2020; 12 (19):8021.

Chicago/Turabian Style

Jinwei Huo; Xinhuan Zhang; Zhiping Zhang; Yaning Chen. 2020. "Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment." Sustainability 12, no. 19: 8021.

Journal article
Published: 17 August 2020 in Sustainability
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Soil salinity is an active and complex part of soil property in arid and semiarid irrigation areas that restricts the sustainability of agriculture production. Knowledge of seasonal distributions and migration of soil salinity is important for the management of agriculture. In this study, three-dimensional (3-D) geostatistical methods were used to construct seasonal 3-D spatial distribution maps of soil salinity, and then the quantitative analysis methods were used to study the seasonal accumulation patterns of soil salinity for the 0–150 cm soil depth in cold and semiarid irrigated rice fields. The results revealed that there were different spatial distribution and migration patterns of soil salinity in autumn 2015, spring 2016, autumn 2016, and spring 2017. The migration of soil salinity had a dispersion trend from autumn to spring, and the area of non-saline soil increased. Whereas there was an accumulation trend from spring to autumn, and the area of non-saline soil decreased. There were about 10–20% of the study area had experienced transitional changes of different soil salinity levels in different seasons. The correlation coefficient showed that there were significant positive correlations among the five depth increments (30 cm) in different seasons, and the correlations of soil salinity were higher in adjacent layers than in nonadjacent layers. The ECe values were higher in the topsoil (0–30 cm) and deeper subsoil (120–150 cm), indicating that soil soluble salts accumulated in the soil surface due to evaporation and accumulated in the bottom due to leaching and drainage. Microtopography was the major factor influencing spatial distribution of soil salinity in different seasons. The ECe values were generally higher in the swales or in areas with rather poor drainage, whereas the values were lower in relatively higher-lying slopes or that were well-drained. The results provide theoretical basis and reference for studying the variation of seasonal soil salinity in irrigated fields.

ACS Style

Qianqian Liu; Gulimire Hanati; Sulitan Danierhan; Guangming Liu; Yin Zhang; Zhiping Zhang. Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields. Sustainability 2020, 12, 6645 .

AMA Style

Qianqian Liu, Gulimire Hanati, Sulitan Danierhan, Guangming Liu, Yin Zhang, Zhiping Zhang. Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields. Sustainability. 2020; 12 (16):6645.

Chicago/Turabian Style

Qianqian Liu; Gulimire Hanati; Sulitan Danierhan; Guangming Liu; Yin Zhang; Zhiping Zhang. 2020. "Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping—A Case Study in Cold and Semiarid Irrigated Fields." Sustainability 12, no. 16: 6645.

Journal article
Published: 05 December 2019 in Ecological Indicators
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Human activities are becoming increasingly diverse and disordered, especially in arid areas, which affect ecosystem services more obviously. Conversely, ecosystem services also impose certain constraints on human. In this paper, we employed the model of ecosystem service value (ESV) assessment and grey relational degree, to reveal the spatiotemporal variation characteristics of ecosystem service value in Xinjiang and its interaction with human activities. The results showed that, during 2000–2015 the value of food production services (FPV) showed an upward trend, while the value of climate regulation services (CRV), gas regulation services (GRV), raw material production services (RMPV) and recreation services (RSV) showed a downward trend. The value of hydrological regulation services (HRV) showed a trend of first decreasing and then rising, while the value of waste disposal services (WDV) showed a trend of first increasing, then decreasing and then increasing. Spatial change showed that the services value of Kashi and Aksu Prefecture declined significantly, while Altay and Tacheng Prefecture increased significantly. In Xinjiang, human activities had a strong interaction with ecosystem services. Agricultural activities (0.989) and social development activities (0.844) had the greatest impact on changes in ecosystem services, especially agricultural water consumption (0.984) and total population at year-end (0.965). Hydrological regulation services (0.8179) had the greatest restriction on social and economic development. Combining the spatiotemporal changes in ecosystem service value and their variation with human activities are significant to formulate ecological policy and coordinate sustainable development.

ACS Style

Zhiping Zhang; Fuqiang Xia; Degang Yang; Jinwei Huo; Guiling Wang; Hongxing Chen. Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China. Ecological Indicators 2019, 110, 105826 .

AMA Style

Zhiping Zhang, Fuqiang Xia, Degang Yang, Jinwei Huo, Guiling Wang, Hongxing Chen. Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China. Ecological Indicators. 2019; 110 ():105826.

Chicago/Turabian Style

Zhiping Zhang; Fuqiang Xia; Degang Yang; Jinwei Huo; Guiling Wang; Hongxing Chen. 2019. "Spatiotemporal characteristics in ecosystem service value and its interaction with human activities in Xinjiang, China." Ecological Indicators 110, no. : 105826.

Journal article
Published: 03 June 2018 in Sustainability
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The human welfare and sustainability of oases have received wide attention because of the fragility of the ecological environment and the instability of these systems. In this study, the sustainability level and the driving forces of emergy utilization in the Hotan Prefecture (in the Xinjiang Uygur Autonomous Region, China) from 2005 to 2015 were evaluated using the emergy approach combined with the logarithmic mean Divisia index (LMDI) method. The emergy analysis showed that non-renewable resources (N) accounted for a large proportion of net emergy (U). The Emergy Sustainability Index (ESI) continued to decline in the study period, implying increasing environmental stress. From a long-term perspective, the system’s development is not sustainable. According to the emergy analysis and the LMDI results, it is imperative to pursue the following aims: (1) increase the per capita gross domestic product (GDP) and labor productivity, (2) improve the efficiency of state investment and aid fund utilization, (3) enhance the area’s sustainability level and economic independence, and (4) protect the area’s fragile ecological environment.

ACS Style

Ting Chang; Degang Yang; Jinwei Huo; Fuqiang Xia; Zhiping Zhang. Evaluation of Oasis Sustainability Based on Emergy and Decomposition Analysis. Sustainability 2018, 10, 1856 .

AMA Style

Ting Chang, Degang Yang, Jinwei Huo, Fuqiang Xia, Zhiping Zhang. Evaluation of Oasis Sustainability Based on Emergy and Decomposition Analysis. Sustainability. 2018; 10 (6):1856.

Chicago/Turabian Style

Ting Chang; Degang Yang; Jinwei Huo; Fuqiang Xia; Zhiping Zhang. 2018. "Evaluation of Oasis Sustainability Based on Emergy and Decomposition Analysis." Sustainability 10, no. 6: 1856.