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文献详情 >理解青藏高原三江源地区放牧压力的空间异质性 收藏

理解青藏高原三江源地区放牧压力的空间异质性

Understanding the spatial heterogeneity of grazing pressure in the Three-River-Source Region on the Tibetan Plateau

作     者:谷昌军 刘林山 张镱锂 魏博 崔伯豪 宫殿清 GU Changjun;LIU Linshan;ZHANG Yili;WEI Bo;CUI Bohao;GONG Dianqing

作者机构:Key Laboratory of Land Surface Pattern and SimulationInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 100049China National Disaster Reduction Center of ChinaMinistry of Emergency ManagementBeijing 100124China 

出 版 物:《Journal of Geographical Sciences》 (地理学报(英文版))

年 卷 期:2023年第33卷第8期

页      面:1660-1680页

核心收录:

学科分类:090503[农学-草业科学] 0909[农学-草学] 0905[农学-畜牧学] 09[农学] 0903[农学-农业资源与环境] 

基  金:The Second Tibetan Plateau Scientific Expedition and Research,No.2019QZKK0603 Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA20040201 National Natural Science Foundation of China,No.41671104 

主  题:grazing intensity GPS-tracking spatial heterogeneity yak Tibetan Plateau 

摘      要:Elucidating the distribution of the grazing pressure requires an understanding of the grazing *** this study,we analyzed the grazing behavior of yaks in Three-RiverSource Region(TRSR)and identified the main factors influencing the distribution of grazing intensity(GI)using trajectory data and remote sensing *** results revealed that a semi-resident transhumance strategy is employed in this *** average grazing time(GT)of four GPS collars over the year was 11.84 h/day(N6),11.01 h/day(N11),9.25 h/day(N18),and 11.61 h/day(N24).GT was generally higher in warm seasons(summer and autumn)than in cold seasons(spring and winter).The average daily moving speed was found to be closely related to the pasture size of different herders and the *** analysis identified the distance to camp(DOC)as the most important single factor influencing the distribution of GI,explaining up to 52% of the GI ***,relying solely on this factor may not accurately depict the actual GI *** pairwise factors interacted,the explanatory power of the model increased,ranging from 34.55% to 63.26%.Our study highlights the importance of considering multiple factors when predicting grazing intensity,as grazing activities tend to cluster near settlements,but other factors may also be influential.

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