京津冀地区耕地集约利用空间格局与其影响因素分析

京津冀地区耕地集约利用空间格局与其影响因素分析

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时间:2019-02-13

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1、万方数据TaihangMountainandsouth-centralofHebeiprovince,andthediffusioneffectinhi【曲valueareaswerenotsignificant;L-L”coldspot”areasweremainlydistributedin21countieswhichlocatedinnorthmountainsofHebeiprovince,bashangplateauandbasinsofnorthwestHebeimountains,wherearethekeyareasi

2、nthefuturetoimprovetheleveloftheintensiveuse.(3)Fromtheoverallregionalperspective,thecorefactorsthatimpactthespatialpatternoftheintensiveuseofcultivatedlandareelevation,traffic,thesustainabilityofresourceandslope,andrespectivelytheinfluencingabilityvaluesare18.22%,16.14%

3、,14.51%and14.02%.Intermsofprovinces:thecorefactorsthatimpactthespatialpatternofcultivatedlandintensiveusearedifferent⋯thefactorsinBeijingaretraffic,slope,thesustainabilityofresourceandelevation,whichmakeup17.27%,16.79%,15.14%and14.90%respectivelyofthewhole;thefactorsinTi

4、anjinarepopulationurbanization,trafficandthesustainabilityofresource,whichaccountfor23.88%,15.93%and12.21%respectively,andthepopulationurbanizationhasadistinctlydecisiveinfluence;themajorinfluencingfactorsinHebeiprovinceareelevation,traffic,thesustainabilityofresourceand

5、slope,whichaccountfor17.87%,16.42%14.10%and13.59%respectively.Apparentlythedominantfactorsonthespatialpatternofintensiveuseofcultivatedlandindifferentregionsaredifferent.Therefore,thedifferentialmanagementandcontrolstrategyforcultivatedlanduseisinevitable.Andapplyadvance

6、dexperienceaccordingtolocalconditions,throughthemanagementoffarmland,accelerationinthelandcirculation,promotingtheruralroadnetworkconstructionandSOforthtoincreasethelevelofcultivatedlandintensiveuseindifferentareasandreduceregionaldifferences.Thus,thehighlightedcontradic

7、toryofman—landCanberesolvedandtheintensiveuseofcultivatedlandcanbegivenaboostintheBeijing—Tianjin-Hebeiregion.Theresultscanprovidescientificcluesforsubsequentresearchinrelatedfields,andprovideadecision—makingbasistoformulatedifferentialmeasurestoimprovethelevelofintensiv

8、euseofcultivated1and.Keywords:IntensiveUtilizationofCultivatedLand;SpatialPattern;ImpactFactors;Geograp

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