[1]Salvati L,Zitti M. Assessing the impact of ecological and economic factors on land degradation vulnerability through multiway analysis[J]. Ecological Indicators,2009,9(2):357-363.
[2]Bender S F,Wagg C,van der Heijden M G A. An underground revolution:biodiversity and soil ecological engineering for agricultural sustainability[J]. Trends in Ecology & Evolution,2016,31(6):440-452.
[3]Girmay G,Singh B R,Mitiku H,et al. Carbon stocks in Ethiopian soils in relation to land use and soil management[J]. Land Degradation & Development,2008,19(4):351-367.
[4]李丹,田沛佩,罗红英,等. 西藏“一江两河”耕地生态安全时空格局与障碍诊断[J]. 农业机械学报,2020,51(10):213-222.
[5]王燕辉,陈卓,曹禺,等. 河北省近20年耕地生态安全动态变化及阻力分析[J]. 水土保持研究,2017,24(1):194-199,206.
[6]郑媛媛,余敦,孙聪康,等. 基于状态空间模型的耕地生态安全评价:以江西省鄱阳县为例[J]. 水土保持研究,2020,27(3):218-224,237.
[7]李政,何伟,潘洪义,等. 基于熵权TOPSIS法与ARIMA模型的四川省耕地生态安全动态预测预警[J]. 水土保持研究,2018,25(3):217-223,2.
[8]张秋霞,张合兵,刘文锴,等. 新郑市耕地生态安全动态预警研究[J]. 水土保持研究,2017,24(1):256-264.
[9]麦丽开·艾麦提,满苏尔·沙比提,张雪琪. 叶尔羌河平原绿洲耕地生态安全评价及预警分析[J]. 中国农业资源与区划,2019,40(7):135-144.
[10]曲洋样,吕儒云,杨剑锋,等. 基于PSR和G(1,1)模型的株洲市水生态安全评价研究[J]. 水利规划与设计,2020(12):69-72,113.
[11]徐成龙,程钰,任建兰. 黄河三角洲地区生态安全预警测度及时空格局[J]. 经济地理,2014,34(3):149-155.
[12]朱乾隆. 长江经济带耕地生态安全评价及障碍因子诊断[D]. 合肥:安徽农业大学,2019:25-26.
[13]马年圣,支晓娟,宋雨婷. 基于PSR和GM(1,1)模型的西藏耕地生态安全评价与预测[J]. 干旱区资源与环境,2018,32(11):81-86.
[14]韩磊,潘玉君,高庆彦,等. 基于PSR和无偏GM(1,1)模型的云南省耕地生态安全评价与预测[J]. 生态经济,2019,35(2):148-154.
[15]王美娜,杨孝斌. 基于GM(1,1)的贵州省GDP预测及产业结构的灰色关联分析[J]. 数学的实践与认识,2021,51(4):180-188.
[16]祝伟,王瑞梅. 城镇化对耕地利用强度的影响及中介效应分析[J]. 中国农业大学学报,2021,26(4):213-224.
[17]栾健,韩一军. 城镇化会加剧化肥面源污染吗:基于门槛效应与空间溢出的双重视角[J]. 中国农业大学学报,2020,25(5):174-186.
[18]王文旭,曹银贵,苏锐清,等. 我国耕地变化驱动力研究进展:驱动因子与驱动机理[J]. 中国农业资源与区划,2020,41(7):21-30.
[19]侯瑞环,徐翔燕. 基于改进GM(1,1)模型的中长期人口预测[J]. 统计与决策,2021,37(1):186-188.
[1]黄金国,魏兴琥,王兮之,等.粤北岩溶山区农地石漠化预警指标体系构建[J].江苏农业科学,2014,42(02):289.
Huang Jinguo,et al.Establishment of warning indicator system of farmland stony desertification in karst mountain area of northern Guangdong[J].Jiangsu Agricultural Sciences,2014,42(1):289.
[2]梁万杰,曹静,凡燕,等.基于传感器网络的羊舍环境监测及预警系统[J].江苏农业科学,2014,42(02):352.
Liang Wanjie,et al.Study on environment monitoring and early warning system in sheep-raising house based on sensor network[J].Jiangsu Agricultural Sciences,2014,42(1):352.
[3]璩路路,师学义,荣联伟.黄土山丘区耕地生态安全动态评价及预测[J].江苏农业科学,2016,44(05):532.
Qu Lulu,et al.Dynamic evaluation and prediction on ecological security of cultivated land in hilly loess regions[J].Jiangsu Agricultural Sciences,2016,44(1):532.
[4]李吉龙,刘新平.基于BP神经网络的未利用地开发生态风险预警研究——以新疆阜康市为例[J].江苏农业科学,2015,43(10):500.
Li Jilong,et al.Study on ecology risk early warning of virgin land development based on BP neural network—Taking Fukang City of Xinjiang area as an example[J].Jiangsu Agricultural Sciences,2015,43(1):500.
[5]李仕蓉,王恩文,龚文琪.“3S”技术在喀斯特土地石漠化研究中的应用现状及展望[J].江苏农业科学,2014,42(06):17.
Li Shirong,et al.Application status and prospects of “3S” technology in research of karst rocky desertification[J].Jiangsu Agricultural Sciences,2014,42(1):17.
[6]马永军,肖文兴,刘艳华,等.湖南省农业产业安全预警研究——基于熵权重灰色关联分析[J].江苏农业科学,2017,45(07):334.
Ma Yongjun,et al.Study on agriculture industry security early warning in Hunan Province—Based on grey correlation analysis model of entropy[J].Jiangsu Agricultural Sciences,2017,45(1):334.
[7]李根,杨庆媛,马寅华,等.基于熵值法的中国省域耕地生态安全评价[J].江苏农业科学,2017,45(09):223.
Li Gen,et al.Evaluation of Chinas provincial cultivated land ecological security based on entropy method[J].Jiangsu Agricultural Sciences,2017,45(1):223.
[8]薛文龙,苏万益.基于用户搜索数据的农业安全预警[J].江苏农业科学,2017,45(12):188.
Xue Wenlong,et al.Study on agricultural security early warning based on user search data[J].Jiangsu Agricultural Sciences,2017,45(1):188.
[9]宋振江,杨俊,李争.长江中下游粮食主产区耕地生态安全评价——基于省级面板数据[J].江苏农业科学,2017,45(20):290.
Song Zhenjiang,et al.Study on ecological security evaluation of cultivated land of main grain production area in lower Yangtze region—Based on provincial panel data[J].Jiangsu Agricultural Sciences,2017,45(1):290.
[10]李政,何伟,吴冬林,等.四川省耕地生态安全的时空格局及生态阻力分析[J].江苏农业科学,2018,46(18):286.
Li Zheng,et al.Analysis of spatio-temporal pattern and ecological resistance of cultivated land ecological security in Sichuan Province[J].Jiangsu Agricultural Sciences,2018,46(1):286.