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Spatio-temporal differences and factors influencing intensive cropland use in the Huang-Huai-Hai Plain

机译:黄淮海平原耕地集约利用的时空差异及影响因素

摘要

This study developed a comprehensive system to evaluate the intensity of cropland use and evolution of cropland use in the Huang-Huai-Hai Plain.Delphi-entropy methods were adopted to determine the weight of the index,and the GeoDetector model was established to explore the influencing factors.The results are summarized as follows:(1) The intensity of inputs,degree of utilization,and production increased continuously,but the intensity of continuous conditions experienced an overall decline followed by a rebound towards the end of the study period.The number of counties with high and moderately high intensity increased by 56.8% and 14.6%,respectively,from 1996 to 2011.The number of counties with moderately low and low intensity declined by 35.9 % and 11.9 %,respectively.Areas with significant increases in intensity were mainly distributed in northeast Hebei Province,northwest Shandong Province,and north Jiangsu Province.The intensity is high in northern Jiangsu and Anhui;the output effect remained above moderate intensity mainly near Beijing,Tianjin,Tangshan,and counties in the suburbs of Shijiazhuang.(2) Natural disasters,elevation,slope,and road networks were the main factors influencing the intensity of cropland use in this region,with influence values of 0.158,0.143,0.129,and 0.054,respectively.Areas with moderately high and high levels of intensity were distributed in low-lying areas.Uneven distribution of precipitation,seasonal drought,and flood disasters can directly affect the stability index of croplands and reduce the intensity of cropland use.Developed road networks are associated with moderately high intensity.Our results suggest recommendations such as promoting agricultural intensification and large-scale management,promoting the construction of road networks,improving eady waming systems for drought and flood disasters,and promoting moderate and intensive use of arable land,and focusing on restoration and sustainable use of cropland.
机译:本研究建立了一套综合系统,以评估黄淮海平原耕地强度和耕地利用演变。采用德尔菲熵方法确定指标权重,并建立了GeoDetector模型以探索该指标的权重。影响因素总结如下:(1)投入强度,利用程度和产量不断增加,但连续条件的强度总体下降,然后在研究期末出现反弹。从1996年到2011年,高强度和中高强度县的数量分别增加了56.8%和14.6%。中低强度和低强度县的数量分别减少了35.9%和11.9%。强度显着增加的地区主要分布在河北省东北部,山东省西北部和苏北省。苏北和安徽的强度高;产出效率高。 t仍处于中等强度以上,主要集中在北京,天津,唐山和石家庄郊县。(2)自然灾害,海拔,坡度和道路网络是影响该地区耕地强度的主要因素,具有影响力。值分别为0.158、0.143、0.129和0.054。中等强度和高强度区域分布在低洼地区。降雨,季节性干旱和洪水灾害的分布不均匀会直接影响耕地和农田的稳定性指数。发达的道路网络与中等强度的土地密集有关。我们的结果提出了一些建议,例如促进农业集约化和大规模管理,促进道路网络的建设,改善旱灾和洪水灾害的简易供水系统,以及促进适度和集约化利用耕地,并着眼于耕地的恢复和可持续利用。

著录项

  • 来源
    《地理学报(英文版)》 |2018年第11期|1626-1640|共15页
  • 作者单位

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

    Key Laboratory of Agricultural Remote Sensing(AGRIRS), Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;

    Key Laboratory of Agricultural Remote Sensing(AGRIRS), Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;

    Key Laboratory of Agricultural Remote Sensing(AGRIRS), Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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