期刊文献+

一种基于节点删除法的候鸟栖息地重要性评估方法研究与实现 被引量:6

Research and application of importance of habitats of migratory bird based on node deletion
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摘要 提出了一种基于节点删除法的候鸟栖息地重要性评估方法。通过计算栖息地对网络连通性的影响和候鸟停留时间的加权和,将栖息地按照重要性排序,最后利用黄海渤海区域的卫星遥测GPS数据进行了验证。实验结果表明,该方法得出的前10个最重要的栖息地中,有9个均位于IUCN所列出的区域中,因此,该方法有一定的实际意义,可用在对候鸟栖息地的重要性分析中,分析结果可以为制定候鸟保护策略提供参考。 In order to protect threatened shorebirds, this paper proposed a method to evaluate the importance of habitats based on kirchoff matrix tree theory. The method took connectivity and the time shorebirds stay as impact factors. Finally, it used the method to evaluate the importance of habitats of Bohai and Yellow Sea region. The result shows that nine of ten most important habitats are in the IUCN priority areas list. So the method can provide reference while making habitat protection strategy.
出处 《计算机应用研究》 CSCD 北大核心 2015年第2期409-412,共4页 Application Research of Computers
关键词 基尔霍夫矩阵树理论 栖息地重要性 网络分析 聚类分析 栖息地网络 黄海/渤海区域 东亚—澳大利亚线 Kirchoff matrix tree theory habitat importance network analysis cluster analysis habitat network Bohai and Yellow Sea region East Asia-Australasian flyway
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参考文献17

  • 1MACKINNON J, VERKUIL Y I, MURRAY N. IUCN situation ana- lysis on East and Southeast Asian intertidal habitats, with particular reference to the Yellow Sea ( including the Bobai Sea). [ R]. Gland, Switzerland: IUCN Species Survival Commission,2012.
  • 2BARTER M. Sborebirds of the Yellow Sea: importance, threats and conservation status [ M ]//Wetlands Internatianal Global Series. 2002.
  • 3ROGERS D, BATrLEY P, MacCAFFERY B; et al. Invisible connec- tions: why migrating shorebirds need the Yellow Sea [ M]//Mel- bourne : CSIRO Publishing, 2010.
  • 4BARTER M, XU Qiang. Northward shorebird migration surveys in 2004 at three Yellow Sea sites in Jiangsu and Shandong provinces [J]. The Stilt,2004,46(2004) : 2-8.
  • 5WILSON H B, KENDALL B E, FULLER R A, et al. Analyzing varia- bility and the rate of decline of migratory Shorebirds in Moreton Bay, Australia [J]. Conservation Biology, 2011,25(4) : 758-756.
  • 6BARTER M, GOSBELL K, CAO Let, et al. Northward shorebird mi- gration survey in 2005 at four new Yellow Sea sites in Jiangsu and Li- ao-ning provinces[ J ]. Tho Stilt, 48 (2005) : 13-17.
  • 7YANG Hong-yan, CHEN Bing, BARTER M, et al. Impacts of tidal land reclamation in Bobai Bay, China: ongoing losses of critical Yellow Sea waterbird staging and wintering sites[ J]. Bird Conserva- tion International, 2011,21 (3): ?.41-259.
  • 8闫双舰,罗泽,阎保平.基于时空因素聚类算法的研究与应用[J].计算机应用研究,2013,30(12):3690-3693. 被引量:1
  • 9SHIMAZAKI H, TAMURA M, DARMAN Y, et al. Network analysis t Of potential migration routes for oriental white storks [ J ]. Ecological Research, 2004,19 (6) :683- 698.
  • 10陈勇,胡爱群,胡骏,陈立全.通信网中最重要节点的确定方法[J].高技术通讯,2004,14(1):21-24. 被引量:48

二级参考文献17

  • 1TANG Ming-jie,ZHOU Yuan-chun.Discovery of migration habitatsand routes oi.wild bird species by clustering and association analysis[C]//Proc of the 5 th International Conference on Advanced DataMining and Application.[S.I.]:Springer-Verlag,2009:288-301.
  • 2CUI Peng,HOlJ Yuan-sheng.Bird migration and risk for H5N1 trans-mission into Qinghai lake[J].China:Vector-Borne and ZoonoticDiseases,2010,11(5):567-576.
  • 3TANG Ming-jie,ZHOU Yuan-chun,LI Jin-yan.Exploring the wildbirds,migration data for the disease spread study of H5N1 ; a clustering and association approach[J].Knowledge andInformation Systems,2011,27(2):227-251.
  • 4LI Sha-sha,ZHOU Yuan-chun,KOU Zheng.A wavelet packet basedapproach for the research of the Avian influenza virus cross-species in-fection[C]//Proc of the 1st International Conference on Networkingand Distributed Computing.2010:301-304.
  • 5CARNEIRO C,ALP A,MACEDO J.Advanced data mining methodfor discovering regions and trajectories of moving objects:u CiconiaCiconia" scenario[C]//Lecture Notesin Geoinformation and Cartogra-phy.Berlin:Springer-Verlag,2008:201-224.
  • 6PRIYONO A,RIDWAN M,ALIAS J A,et al.Generation of fuzzyrules with subtractive clustering[J].Journal Teknologi,2012,43(D):143-153.
  • 7ZHENG YuiXIE Xing.Learning location correlation from GPS trajec-tories[C]//Proc of the I Ith International Conference on Mobile DataManagement.2010:27-32.
  • 8LI Quan-nan,ZHENG Yu,XIE Xing,et al.Mining user similaritybased on location history[C]// Proc of the 16th ACM SIGSPATIALInternational Conference on Advances in Geographic Information Sys-tems.New York:ACM Press,2008:I-10.
  • 9ZHENG Yu,ZHANG Li-zhu,MA Zheng-xin.Recommending friendsand locations based on individual location history[J].ACM Tran-saction on the Web,2011,5(1):1-44.
  • 10HAN Jia-wei,KAMBER M1PEI Jian.Data,mining concepts and tech-niques[M].3rd ed.[S.I.]:Morgan Kaufmann,2011.

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