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Remote Sensing for Natural Resources    2021, Vol. 33 Issue (4) : 243-251     DOI: 10.6046/zrzyyg.2021044
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An analysis of the pattern of land-use conflicts in valley oases in arid areas
WANG Juanjuan1(), WU Zhaopeng1,2(), WANG Shanshan1, YIN Huihui1
1. College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
2. Laboratory of Lake Environment and Resources in Arid Area of Xinjiang, Urumqi 830054, China
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Abstract  

The identification of land-use conflicts is of great significance for maintaining the balance between ecological protection and the socio-economic development in oases in arid areas. Based on the data of land use status in 2000, 2010, and 2018 of Urumqi City-a valley oasis in the Urumqi River Basin, this paper constructs a comprehensive measurement model of land-use conflicts and further analyzes the distribution characteristics of the spatial pattern of land-use conflicts using the methods of spatial autocorrelation and cold/hot spot analysis. The results are as follows. ① The total area of land-use conflicts has increased year by year, and the area of lands with different land-use conflict levels is in the order of no conflict > moderate conflicts > mild conflicts > severe conflicts. Meanwhile, land-use conflicts are more liable to occur in grassland, cultivated land, construction land, and woodland. ② There is a significant spatial positive correlation between land-use conflicts in the study area, and the land-use conflicts are highly concentrated in terms of space. According to the analysis of cold and hot spots, it is found that from 2000 to 2018, the hot spots of land-use conflicts migrated from the northern part of the central urban area and southwestern parts to the eastern and southern parts of the urban area, with the distribution scope narrowing. In comparison, the cold spots of the land-use conflicts mainly concentrated inside the central urban area and the eastern and southern mountainous areas. ③ There is a positive spatial correlation between the land use degree and the land-use conflicts in the study area. C0/(C0+C) increased from 0.21 to 0.49 during 2000—2018, indicating that the spatial correlation weakened and the land-use conflicts are increasingly affected by random factors.
Keywords land-use conflict      spatial autocorrelation      cold/hot spot analysis      valley oasis     
ZTFLH:  TP79  
Corresponding Authors: WU Zhaopeng     E-mail: 381615811@qq.com;wuzhaopengxj@sina.com
Issue Date: 23 December 2021
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Juanjuan WANG
Zhaopeng WU
Shanshan WANG
Huihui YIN
Cite this article:   
Juanjuan WANG,Zhaopeng WU,Shanshan WANG, et al. An analysis of the pattern of land-use conflicts in valley oases in arid areas[J]. Remote Sensing for Natural Resources, 2021, 33(4): 243-251.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021044     OR     https://www.gtzyyg.com/EN/Y2021/V33/I4/243
Fig.1  Sketch map of study area
精度评价指标 2000年 2010年 2018年
分类精度/% 90.63 90.53 90.27
Kappa 系数 0.89 0.89 0.88
Tab.1  Classification results accuracy
冲突类型 冲突分级 冲突类型说明
无冲突 (0,0.36) 土地利用类型基本能够控制阶段,冲突的外部影响可稳定控制
轻度冲突 [0.36,0.40) 土地利用冲突的显现阶段,冲突的外部影响基本可控,预防管理的关键期
中度冲突 [0.40,0.50) 土地利用冲突的转变阶段,冲突的外部影响基本失控,冲突表现形式公开化
重度冲突 [0.50,1.00) 土地利用冲突的胶着状态,冲突的外部影响严重失控,区域协调可持续发展受到极大威胁
Tab.2  Classification of land use conflict
土地利用
类型		 2000年 2010年 2018年 2000—2010年 2010—2018年
面积/km2 比重/% 面积/km2 比重/% 面积/km2 比重/% 面积/km2 面积/k m 2
草地 8 079.49 57.95 7 828.66 56.15 7 680.39 55.08 -250.83 -148.27
耕地 1 033.10 7.41 965.96 6.93 808.01 5.80 -67.14 -157.95
林地 610.51 4.38 675.25 4.84 706.93 5.07 64.74 31.68
水域 140.62 1.01 158.41 1.14 165.81 1.19 17.79 7.40
建设用地 357.51 2.56 655.47 4.70 964.50 6.92 297.96 309.04
未利用地 3 721.75 26.69 3 659.22 26.24 3 617.33 25.94 -62.53 -41.89
Tab.3  Land use change in the study area
Fig.2  Land use distribution map of the study area
Fig.3  Spatial pattern of land use conflict in the study area
Fig.4  Area change of land use conflict grades in the study area
Fig.5  Spatiotemporal evolution characteristics of comprehensive index of land use conflict in the study area
Fig.6  Land use types of different conflict grades in the study area
Fig.7-1  Bivariate Lisa aggregation of land use degree and conflict
Fig.7-2  Bivariate Lisa aggregation of land use degree and conflict
年份 拟合
模型		 块金值
(C0)		 基台值
(C0 +C )		 C0 /
C0 +C		 (A0 ) R2 RSS
2000年 指数 0.001 0.005 0.21 18 600 0.80 6.54×10-7
2010年 高斯 0.003 0.007 0.42 39 000 0.94 4.00×10-7
2018年 指数 0.003 0.006 0.49 45 600 0.96 2.57×10-7
Tab.4  Fitting model parameters of variogram of land use spatial conflict
年份 2000年 2010年 2018年
人口数量/万人 181.69 243.03 350.58
城镇化率/% 77 73.70 74.61
GDP/亿元 315 1 311 3 100
第一产业比重/% 1.29 1.45 0.80
第二产业比重/% 36.35 45.57 30.60
第三产业比重/% 62.36 52.98 68.60
Tab.5  Human factors influencing spatial conflict of land use
Fig.8  Climate factors affecting land use spatial conflict
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