中国北方农牧交错带耕地时空分异及驱动因素

doi:10.12118/j.issn.1000–6060.2021.153

Abstract

Abstract:

Cropland plays an important role in guaranteeing the food security of China. On the basis of remote sensing images from 2000, 2010, and 2020, transfer matrix, spatial autocorrelation analysis, and spatial statistics model were used to analyze the spatiotemporal differentiation characteristics of cropland and its driving factors during the period of 2000 to 2020 in the agro-pastoral ecotone of northern China. The results showed the following: (1) From 2000 to 2020, the area of cropland increased from 268959.49 km² to 269471.62 km² in the agro-pastoral ecotone of northern China. The changes in cropland exhibited transformations between cropland and forest land, and grassland, which were mainly distributed in the regions with an altitude of 1000-2000 m and a slope of 0-5°. (2) Obvious spatial agglomeration characteristics of the distribution of cropland were observed during the period of 2000 to 2020 in the agro-pastoral ecotone of northern China. Meanwhile, the spatial pattern of cropland was higher in the east than in the west and was higher in the north than in the south. The cropland was mainly distributed in the junction areas among Jilin, Liaoning, and Inner Mongolia, as well as the river valleys within Gansu and Ningxia, where a plate with a low altitude is found. However, the cropland was scattered in the edge mountains of the plateau and the loess hilly and gully regions, where the terrain was complex, including Huangzhong County, Jianzha County, Fenxi County, Xiangning County, Loufan County, and Gujiao County. (3) From 2000 to 2020, the spatiotemporal differentiation of cropland in the agro-pastoral ecotone of northern China resulted from the interaction of the natural environment, socioeconomic factors, and regional policy factors. The national environment was the primary factor in the spatial distribution of cropland, and socioeconomic factors and regional policy factors were the key driving factors in the spatiotemporal differentiation of cropland in the agro-pastoral ecotone of northern China. The factors of annual average temperature, road density, ecological conversion policy, and land use control system had a positive influence on the spatiotemporal differentiation of cropland, whereas the factors of slope and economic density had a negative impact. This study will provide a scientific reference for cropland protection and sustainable development in the agro-pastoral ecotone of northern China.

Key words: cropland, spatiotemporal pattern, driving factors, agro-pastoral ecotone of northern China

TAO Zefu,WANG Shiqing,SUN Piling,LI Kaidi,TIAN Wen,HAN Xiaoxiao. Spatio-temporal differentiation and driving factors of cropland in the agro-pastoral ecotone of northern China[J].Arid Land Geography, 2022, 45(1): 153-163.

Figures/Tables 8

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References 30

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驱动因素		解释变量	变量解释
自然环境因素	气候	年均降水量/mm	基于ArcGIS空间插值法获取各地域单元的年均降水量
	气候	年均气温/℃	基于ArcGIS空间插值法获取各地域单元的年均气温
	地形	高程/m	基于ArcGIS分析工具获取农牧交错带的数字高程模型（DEM）数据
		坡度/(°)	基于DEM数据提取各地域单元的坡度平均值
		坡向	基于DEM数据提取各栅格单元的坡向
		地形起伏度/m	基于ArcGIS的分区统计获取各地域单元的地形起伏度
社会经济因素		人口密度/10⁴人·km^-2	各县（市、区、旗）的国民经济和社会发展统计公报
		经济密度/10⁸元·km^-2	各县（市、区、旗）的国民经济和社会发展统计公报
		路网密度/km·km^-2	各县（市、区、旗）的国民经济和社会发展统计公报
区域政策因素		生态退耕工程	根据每个格网单元内生态退耕面积是否为0。若不为0,表明实施了生态退耕工程,赋值为1;若为0,表明未实施生态退耕工程,赋值为0。
区域政策因素		土地利用管制	根据每个格网单元内土地利用管制面积是否为0。若不为0,表明实施了土地利用管制,赋值为1;若为0,表明未实施土地利用管制,赋值为0。

高程			坡度
高程分级/m	各高程等级比例/%	耕地变化比例/%	坡度分级/(°)	各坡度等级比例/%	耕地变化比例/%
<200	7.34	7.97	0~5	41.21	50.54
200~500	13.13	17.16	5~10	22.26	23.27
500~1000	17.78	17.28	10~15	15.30	12.72
1000~2000	52.68	53.40	15~25	16.17	11.10
>2000	9.07	4.19	>25	5.06	2.37

年份	Moran’s I	预期指数	方差	Z得分（标准差）
2000	0.294	-0.004	0.001	7.942
2010	0.289	-0.004	0.001	7.795
2020	0.293	-0.004	0.001	7.905

变量		2000年影响因素		2020年影响因素
变量		系数	P	系数	P
常数		228.510	0.376	-104.804	0.968
自然因素	年平均降水量	-0.582	0.515	0.752	0.370
	年平均气温	437.466^***	0.000	426.409^***	0.000
	高程	3.900^**	0.050	-0.516	0.777
	坡度	-5202.760^***	0.000	-5242.810^***	0.000
	坡向	8.811^*	0.075	7.518	0.134
	地形起伏度	16.015	0.278	25.655^*	0.087
社会经济因素	经济密度	-29.564^***	0.000	-2.218^***	0.000
	人口密度	4.878	0.267	-2.616	0.167
	路网密度	6.080^***	0.000	3.175^***	0.000
区域政策因素	生态退耕政策	3396.050^***	0.000	1999.360^**	0.017
区域政策因素	土地利用管制	9171.290^***	0.000	8162.700^***	0.000
拟合系数R²		0.755		0.741
对数似然值		-83642.578		-83752.834
赤池信息准则		12		167530
施瓦茨准则		7517		167613

Spatio-temporal differentiation and driving factors of cropland in the agro-pastoral ecotone of northern China

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