Evaluating the Farmland Use Intensity and Its Patterns in a Farming-Pastoral Ecotone of Northern China

被引:3
作者
Chen, Xin [1 ,2 ,3 ]
Zhang, Guoliang [1 ]
Jin, Yuling [1 ]
Mao, Sicheng [1 ]
Laakso, Kati [3 ]
Sanchez-Azofeifa, Arturo [3 ]
Jiang, Li [1 ]
Zhou, Yi [1 ]
Zhao, Haile [1 ]
Yu, Le [2 ]
Jiang, Rui [4 ]
Pan, Zhihua [5 ]
An, Pingli [1 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[2] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
[3] Univ Alberta, Dept Earth & Atmospher Sci, Ctr Earth Observat Sci, Edmonton, AB T6G 2E3, Canada
[4] South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
[5] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
farmland use intensity; sustainable farmland use; remote sensing; self-organization map; farming-pastoral ecotone of Northern China; LAND-USE INTENSITY; SELF-ORGANIZING MAP; VEGETATION DYNAMICS; GLOBAL PATTERNS; MANAGEMENT; IMPACT; REGION; DEEP;
D O I
10.3390/rs13214304
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The growing population and northward shifts in the center of grain production collectively contribute to the arising farmland use intensity of the farming-pastoral ecotone of Northern China (FPENC). Consequently, it poses a great threat to the vulnerable ecosystem of FPENC. Thus, farmland use intensity monitoring is a top priority to practice sustainable farming. In this study, we establish an indicator system designed to evaluate farmland use intensity in Ulanqab, located in the central part of FPENC. This system includes three single-year indicators (the degree of coupling between effective rainfall and crop water requirement (Dcrr), irrigation intensity (Iri) and crop duration (Cd)) and two multi-year indicators (the frequency of adopting the green-depressing cropping system (Gf) and rotation frequency (Rf)). We mapped five farmland use intensity indicators in Ulanqab from 2010 to 2019 using satellite imagery and other ancillary data. Then, the farmland use patterns were recognized by applying the self-organizing map algorithm. Our results suggest that the mapping results of crop types, center pivot irrigation (CPI), and irrigated areas are reasonably accurate. Iri, Cd, and Rf experienced an increase of 31 m(3)/hm(2), 1 day, and 0.06 in Ulanqab from 2010 to 2019, respectively, while Dcrr and Gf witnessed a decrease of 0.002 and 0.004, respectively. That is, farmers are progressively inclined to higher farmland use intensity. Moreover, spatial heterogeneity analysis shows that Northern Ulanqab owned higher Dcrr, Iri, Cd, and Rf, and lower Gf than the southern part. We conclude the paper by discussing the implications of the results for areas with different farmland use intensity patterns.
引用
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页数:25
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