土地利用功能转型及其生态环境效应研究——以吐鲁番市高昌区为例

doi:10.12118/j.issn.1000–6060.2021.243

Abstract

Abstract:

As one of the important nodes of the “One Belt One Road”, Gaochang District of Turpan City, Xinjiang, China has developed rapidly in recent years. The population is constantly concentrating in the city center. The demand for construction land has continued to increase. Gaochang District is located in the desert oasis, a typical “ecologically fragile area with a relatively backward economy”. The vulnerability of the ecological environment is the main challenge of ecological civilization construction in the region. This paper uses the four phases of land use status remote sensing monitoring data (1990, 2000, 2010, and 2018) based on a 5 km×5 km grid-scale, starting from the urbanized, main agricultural production, and ecological function areas. This paper starts from the large-scale dominant function area, using the land use transfer matrix and kernel density estimation to study the characteristics of land use transition in Gaochang District from 1990 to 2018. It uses the regional ecological environment quality index and ecological contribution rate method to analyze the land use in Gaochang District. During the study period, a quantitative analysis of the effects of transformation on the ecological environment is expected to provide a reference for coordinating the sustainable use of land resources and ecological environment protection in the Gaochang District. The results are as follows. (1) From 1990 to 2018, the landuse area of urbanization area in Gaochang District has a fluctuating trend, distributed in the middle of the Gaochang District. The landuse area in the main production areas of agricultural products shows an overall increasing trend, distributed in patches in the Gaochang District. In the middle part, the area of the ecological function zone shows a decreasing trend, with the most widespread distribution covering a large area in Gaochang District. From 1990 to 2018, the deserted and concentrated landuse in the Gaochang District was higher in the middle part than that in the north and south. In 2018, the land and agricultural area of northern mine increased, driving local economic growth, increased nuclear density, and spatial aggregation enhancement. (2) From 1990 to 2018, the high-quality and low-quality areas of the ecological environment of the Gaochang District are decreasing, whereas the higher-quality and lower-quality areas are increasing. The conversion of unused land to grassland is the main reason for improving the ecological environment in the Gaochang District. This is because the conversion of grassland land to unused land is responsible for the degradation of the ecological environment in some areas of Gaochang District. The central part of the Gaochang District has a trend of improving ecological environment quality, whereas the northern and southwestern parts have a trend of ecological environment degradation. The overall ecological environment degradation trend is slightly smaller than the improvement trend, and the ecological environment quality of the Gaochang District is developing in a good direction.

Key words: land use function transformation, ecological environment effect, Gaochang District

MA Xinmiao,XU Huajun,Gulinar MAIMAITI. Transformation of land use function and its ecological environmental effects: A case study in the Gaochang District of Turpan City[J].Arid Land Geography, 2022, 45(2): 445-455.

Figures/Tables 9

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References 28

[1]	苑韶峰, 唐奕钰, 申屠楚宁. 土地利用转型时空演变及其生态环境效应——基于长江经济带127个地级市的实证研究[J]. 经济地理, 2019, 39(9):174-181.
	[ Yuan Shaofeng, Tang Yiyu, Shentu Chuning. Spatiotemporal change of land-use transformation and its eco-environmental response: A case of 127 cities in the Yangtze River Economic Belt[J]. Economic Geography, 2019, 39(9):174-181. ]
[2]	陈曦, 常存, 包安明, 等. 改革开放40 a来新疆土地覆被变化的空间格局与特征[J]. 干旱区地理, 2020, 43(1):1-11.
	[ Chen Xi, Chang Cun, Bao Anming, et al. Spatial pattern and characteristics of land cover change in Xinjiang since past 40 years of the economic reform and opening up[J]. Arid Land Geography, 2020, 43(1):1-11. ]
[3]	黄金川, 林浩曦, 漆潇潇. 面向国土空间优化的三生空间研究进展[J]. 地理科学进展, 2017, 36(3):378-391. doi: 10.18306/dlkxjz.2017.03.014
	[ Huang Jinchuan, Lin Haoxi, Qi Xiaoxiao. A literature review on optimization of spatial development pattern based on ecological-production-living space[J]. Progress in Geography, 2017, 36(3):378-391. ] doi: 10.18306/dlkxjz.2017.03.014
[4]	Alan Grainger. The forest transition: An alternative approach[J]. Area, 1995, 27(3):242-251.
[5]	Alan Grainger. National land use morphology: Patterns and possibilities[J]. Geography, 1995, 80(3):235-245.
[6]	龙花楼, 李秀彬. 区域土地利用转型分析——以长江沿线样带为例[J]. 自然资源学报, 2002, 17(2):144-149.
	[ Long Hualou, Li Xiubin. Analysis on regional land use transition: A case study in transect of the Yangtze River[J]. Journal of Natural Resources, 2002, 17(2):144-149. ]
[7]	龙花楼, 屠爽爽. 土地利用转型与乡村振兴[J]. 中国土地科学, 2018, 32(7):1-6.
	[ Long Hualou, Tu Shuangshuang. Land use transition and rural vitalization[J]. China Land Science, 2018, 32(7):1-6. ]
[8]	龙花楼. 论土地利用转型与乡村转型发展[J]. 地理科学进展, 2012, 31(2):131-138. doi: 10.11820/dlkxjz.2012.02.001
	[ Long Hualou. Land use transition and rural transformation development[J]. Progress in Geography, 2012, 31(2):131-138. ] doi: 10.11820/dlkxjz.2012.02.001
[9]	龙花楼. 论土地利用转型与土地资源管理[J]. 地理研究, 2015, 34(9):1607-1618. doi: 10.11821/dlyj201509001
	[ Long Hualou. Land use transition and land management[J]. Geographical Research, 2015, 34(9):1607-1618. ] doi: 10.11821/dlyj201509001
[10]	宋小青. 论土地利用转型的研究框架[J]. 地理学报, 2017, 72(3):471-487. doi: 10.11821/dlxb201703009
	[ Song Xiaoqing. Discussion on land use transition research framework[J]. Acta Geographica Sinica, 2017, 72(3):471-487. ] doi: 10.11821/dlxb201703009
[11]	宋家鹏, 陈松林. 福建省土地利用隐性形态与土地生态安全耦合协调分析[J]. 水土保持研究, 2020, 27(4):301-307.
	[ Song Jiapeng, Chen Songlin. Coupling relationship and coordination between recessive land use morphology and land eco-security in Fujian Province[J]. Research of Soil and Water Conservation, 2020, 27(4):301-307. ]
[12]	崔佳, 臧淑英. 哈大齐工业走廊土地利用变化的生态环境效应[J]. 地理研究, 2013, 32(5):848-856.
	[ Cui Jia, Zang Shuying. Regional disparities of land changes and their eco-environmental effects in Harbin-Daqing-Qiqihar Industrial Corridor[J]. Geographical Research, 2013, 32(5):848-856. ]
[13]	龙花楼, 曲艺, 屠爽爽, 等. 城镇化背景下中国农区土地利用转型及其环境效应研究: 进展与展望[J]. 地球科学进展, 2018, 33(5):455-463.
	[ Long Hualou, Qu Yi, Tu Shuangshuang, et al. Land use transitions under urbanization and their environmental effects in the farming areas of China: Research progress and prospects[J]. Advance in Earth Sciences, 2018, 33(5):455-463. ]
[14]	董建红, 张志斌, 笪晓军, 等. “三生”空间视角下土地利用转型的生态环境效应及驱动力分析——以甘肃省为例[J]. 生态学报, 2021, 41(15):5919-5928.
	[ Dong Jianhong, Zhang Zhibin, Da Xiaojun, et al. Eco-environmental effects of land use transition and its driving forces from the perspective of “production-living-ecological” spaces: A case study of Gansu Province[J]. Acta Ecological Sinica, 2021, 41(15):5919-5928. ]
[15]	王波, 杨太保. 1980—2018年银川市生态系统服务价值评价及驱动力分析[J]. 干旱区地理, 2021, 44(2):552-564.
	[ Wang Bo, Yang Taibao. Value evaluation and driving force analysis of ecosystem services in Yinchuan City from 1980 to 2018[J]. Arid Land Geography, 2021, 44(2):552-564. ]
[16]	张发, 玉素甫江·如素力, 艾尔肯·图尔逊. 基于土地利用的博斯腾湖流域生态系统服务价值时空变化[J]. 生态学报, 2021, 41(13):5254-5265.
	[ Zhang Fa, Rusuli Yusufujiang, Tuersun Aierken. Spatio-temporal change of ecosystem service value in Bosten Lake Watershed based on land use[J]. Acta Ecological Sinica, 2021, 41(13):5254-5265. ]
[17]	刘希朝, 李效顺, 蒋冬梅. 基于土地利用变化的黄河流域景观格局及生态风险评估[J]. 农业工程学报, 2021, 37(4):265-274.
	[ Liu Xizhao, Li Xiaoshun, Jiang Dongmei. Landscape pattern and ecological risk assessment of the Yellow River Basin based on land use change[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(4):265-274. ]
[18]	黄天能, 张云兰. 基于“三生空间”的土地利用功能演变及生态环境响应——以桂西资源富集区为例[J]. 生态学报, 2021, 41(1):348-359.
	[ Huang Tianneng, Zhang Yunlan. Transformation of land use function and response of eco-environment based on ecological-production-living spaces: A case study of resource-rich area in western Guangxi[J]. Acta Ecologica Sinica, 2021, 41(1):348-359. ]
[19]	罗鸿, 杨存建. 2005—2015年四川省土地利用变化及驱动力分析[J]. 生态科学, 2021, 40(1):86-94.
	[ Luo Hong, Yang Cunjian. Analysis of land use change and its driving forces in Sichuan Province from 2005 to 2015[J]. Ecological Science, 2021, 40(1):86-94. ]
[20]	侯芳. 基于RS和GIS的吐鲁番市土地利用时空演化及预测研究[D]. 乌鲁木齐: 新疆大学, 2010.
	[ Hou Fang. Remote sensing and GIS-based analysis on temporal-spatial evolution and forecast of land use change in Turpan City[D]. Urumqi: Xinjiang University, 2010. ]
[21]	刘纪远, 匡文慧, 张增祥, 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014, 69(1):3-14.
	[ Liu Jiyuan, Kuang Wenhui, Zhang Zengxiang, et al. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s[J]. Acta Geographica Sinica, 2014, 69(1):3-14. ]
[22]	李晓文, 方精云, 朴世龙. 近10年来长江下游土地利用变化及其生态环境效应[J]. 地理学报, 2003, 58(5):659-667.
	[ Li Xiaowen, Fang Jingyun, Piao Shilong. Land use changes and its implication to the ecological consequences in the lower Yangtze Region[J]. Acta Geographica Sinica, 2003, 58(5):659-667. ]
[23]	高星, 刘泽伟, 李晨曦, 等. 基于“三生空间”的雄安新区土地利用功能转型与生态环境效应研究[J]. 生态学报, 2020, 40(20):7113-7122.
	[ Gao Xing, Liu Zewei, Li Chenxi, et al. Land use function transformation in the Xiong’an New District based on ecological-production-living spaces and associated eco-environment effects[J]. Acta Ecologica Sinica, 2020, 40(20):7113-7122. ]
[24]	吐鲁番地区统计局. 吐鲁番统计年鉴[M]. 北京: 中国统计出版社, 2019: 3-14.
	[Turpan Regional Bureau of Statistics. Turpan statistical yearbook[M]. Beijing: China Statistics Press, 2019: 3-14. ]
[25]	杨清可, 段学军, 王磊, 等. 基于“三生空间”的土地利用转型与生态环境效应——以长江三角洲核心区为例[J]. 地理科学, 2018, 38(1):97-106. doi: 10.13249/j.cnki.sgs.2018.01.011
	[ Yang Qingke, Duan Xuejun, Wang Lei, et al. Land use transformation based on ecological-production-living spaces and associated eco-environment effects: A case study in the Yangtze River Delta[J]. Scientia Geographica Sinica, 2018, 38(1):97-106. ] doi: 10.13249/j.cnki.sgs.2018.01.011
[26]	陈正发, 史东梅, 何伟, 等. 1980—2015年云南坡耕地资源时空分布及演变特征分析[J]. 农业工程学报, 2019, 35(15):256-265.
	[ Chen Zhengfa, Shi Dongmei, He Wei, et al. Spatio-temporal distribution and evolution characteristics of slope farmland resources in Yunnan from 1980 to 2015[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(15):256-265. ]
[27]	曹国亮, 李天辰, 陆垂裕, 等. 干旱区季节性湖泊面积动态变化及蒸发量——以艾丁湖为例[J]. 干旱区研究, 2020, 37(5):1095-1104.
	[ Cao Guoliang, Li Tianchen, Lu Chuiyu, et al. Dynamic variation and evaporation of seasonal lakes in arid areas: A case study for the Aiding Lake[J]. Arid Zone Research, 2020, 37(5):1095-1104. ]
[28]	罗刚, 廖和平, 李强, 等. 基于“三生空间”的土地利用主导功能转型及其生态环境响应——以重庆市巴南区为例[J]. 西南大学学报(自然科学版), 2018, 40(4):105-113.
	[ Luo Gang, Liao Heping, Li Qiang, et al. A study of land use function transformation based on ecological-production-living spaces and associated eco-environment response: A case study of Banan District[J]. Journal of Southwest University (Natural Science Edition), 2018, 40(4):105-113. ]

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土地利用主导功能分类		土地利用分类系统的二级分类	生态环境指数
一级地类	二级地类	土地利用分类系统的二级分类	生态环境指数
城市化地区	城镇用地	城镇用地	0.010
城市化地区	工矿用地	其他建设用地	0.010
农产品主产区	农业用地	水田、旱地	0.303
农产品主产区	农村用地	农村居民点	0.010
生态功能区	林地用地	有林地、灌木林地、疏林地、其他林地	0.853
	草地用地	高覆盖度草地、中覆盖度草地、低覆盖度草地	0.802
	水域用地	河渠、湖泊、水库坑塘、永久性冰川雪地、滩涂、滩地	0.537
	未利用地	沙地、戈壁、盐碱地、沼泽地、裸土地、裸岩石质地等其他未利用土地	0.025

一级地类	二级地类	1990年	2000年	2010年	2018年
城市化地区	城镇用地	8.07	9.33	14.31	15.94
	工矿用地	4.16	1.11	41.00	81.05
	小计	12.23	10.44	55.31	96.99
农产品主产区	农业用地	333.50	343.46	537.91	515.47
	农村用地	24.71	28.75	22.45	25.51
	小计	358.21	372.21	560.36	540.98
生态功能区	林地用地	74.54	74.47	21.69	21.74
	草地用地	3309.95	3296.43	3189.17	3203.20
	水域用地	23.99	24.07	30.68	40.85
	未利用地	9799.00	9800.46	9720.79	9674.38
	小计	13207.48	13195.43	12962.33	12940.17

2000年	1990年
2000年	草地用地	城镇用地	工矿用地	林地用地	农村用地	农业用地	水域用地	未利用地
草地用地	99.64	0.00	0.00	0.01	0.00	0.33	0.00	0.01
城镇用地	0.00	83.46	0.00	0.00	0.94	15.59	0.00	0.00
工矿用地	0.00	0.00	99.80	0.00	0.00	0.00	0.00	0.20
林地用地	3.37	0.00	0.00	94.79	0.00	0.56	0.00	1.27
农村用地	0.22	0.93	0.00	0.02	83.35	15.27	0.00	0.22
农业用地	6.26	0.01	0.03	0.71	0.16	91.25	0.13	1.47
水域用地	0.61	0.00	0.00	0.39	0.00	0.25	98.35	0.41
未利用地	0.01	0.00	0.03	0.01	0.00	0.03	0.00	99.92
2010年	2000年
2010年	草地用地	城镇用地	工矿用地	林地用地	农村用地	农业用地	水域用地	未利用地
草地用地	80.00	0.00	0.00	0.43	0.06	0.65	0.04	18.81
城镇用地	0.12	38.76	0.00	5.79	30.40	4.82	0.00	20.11
工矿用地	5.63	0.00	0.00	0.06	4.08	0.00	0.00	90.23
林地用地	54.91	0.00	0.00	22.19	0.23	0.25	0.00	22.42
农村用地	16.86	7.33	0.00	7.03	19.65	32.52	0.00	16.62
农业用地	12.00	0.38	0.04	8.47	2.30	57.82	0.07	18.91
水域用地	19.44	0.00	0.00	0.75	0.00	0.00	30.01	49.81
未利用地	6.75	0.00	0.01	0.08	0.04	0.04	0.13	92.95
2018年	2010年
2018年	草地用地	城镇用地	工矿用地	林地用地	农村用地	农业用地	水域用地	未利用地
草地用地	98.81	0.00	0.00	0.02	0.00	0.88	0.01	0.27
城镇用地	0.11	89.16	0.00	0.00	0.01	8.07	0.00	2.65
工矿用地	3.01	0.00	30.19	0.00	0.00	0.87	0.00	65.94
林地用地	2.57	0.00	0.00	96.44	0.00	0.14	0.00	0.86
农村用地	0.07	0.01	0.00	0.00	84.73	13.34	0.00	1.85
农业用地	1.40	0.01	0.00	0.00	0.15	97.58	0.00	0.85
水域用地	0.73	0.00	19.13	0.00	0.00	0.07	72.81	7.26
未利用地	0.14	0.00	0.09	0.00	0.00	0.01	0.01	99.75

土地利用转型	转换面积/㎞²	生态贡献率	占生态贡献率的百分比/%
未利用地→草地用地	602.89	0.03433	87.56
未利用地→农业用地	100.07	0.00198	5.04
农业用地→草地用地	31.60	0.00118	3.00
未利用地→水域用地	25.55	0.00093	2.38
未利用地→林地用地	4.93	0.00031	0.79
农村用地→农业用地	8.70	0.00018	0.46
农村用地→草地用地	2.35	0.00014	0.35
草地用地→林地用地	11.90	0.00007	0.19
其他	3.61	0.00008	0.23
合计	791.60	0.03920	100.00

土地利用转型	转换面积/㎞²	生态贡献率	占生态贡献率的百分比/%
草地用地→未利用地	659.95	-0.03757	84.41
草地用地→农业用地	75.03	-0.00279	6.27
林地用地→农业用地	42.43	-0.00184	4.14
水域用地→未利用地	9.12	-0.00002	1.05
林地用地→未利用地	0.29	-0.00001	1.02
草地用地→工矿用地	4.58	-0.00027	0.60
草地用地→农村用地	4.19	-0.00024	0.55
农业用地→农村用地	9.62	-0.00020	0.45
林地用地→农村用地	2.18	-0.00014	0.31
草地用地→水域用地	5.82	-0.00012	0.27
林地用地→草地用地	16.19	-0.00010	0.23
未利用地→工矿用地	73.49	-0.00008	0.18
林地用地→城镇用地	1.06	-0.00007	0.15
农业用地→未利用地	0.02	0.00000	0.14
农业用地→城镇用地	2.08	-0.00004	0.10
其他	15.08	-0.00050	0.13
合计	921.12	-0.04398	100.00

Transformation of land use function and its ecological environmental effects: A case study in the Gaochang District of Turpan City

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