論文

査読有り
2013年12月

Among-year variation in deer population density index estimated from road count surveys

JOURNAL OF FOREST RESEARCH
  • Inoue Mizuki
  • ,
  • Shota Sakaguchi
  • ,
  • Keitaro Fukushima
  • ,
  • Masaru Sakai
  • ,
  • Atsushi Takayanagi
  • ,
  • Daisuke Fujiki
  • ,
  • Michimasa Yamasaki

18
6
開始ページ
491
終了ページ
497
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10310-012-0379-5
出版者・発行元
TAYLOR & FRANCIS LTD

A method for obtaining a relative deer population density index with low cost and effort is urgently needed in wildlife protection areas that need their own deer management guidelines. We recorded the number of deer sighted during our daily trips on forest roads by car in Ashiu Forest at Kyoto University, Japan, beginning in 2006. We used generalized additive mixed models (GAMMs) to estimate among-year trends in the number of deer sighted. We applied models for the total number of deer (TND), number of adults (NA), and number of fawns (NF) sighted, which included both current-year and 1-year-old fawns. Full models included the terms of year (2007, 2008, 2009, and 2010), weather (fine, cloudy, and rain/snow), and nonlinear effects of season (date) and time (time). The optimal GAMMs for TND, NA, and NF did not include the effect of weather but included those of time, date, and year. The detected among-year trends in deer population may be influenced by differences in snow environments among the years. The modeling of road count data using GAMM quantitatively determined among-year variation in the number of deer sighted. This trend was similar to that of the population density estimated using a block count survey conducted in Ashiu Forest.

リンク情報
DOI
https://doi.org/10.1007/s10310-012-0379-5
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000326924600007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s10310-012-0379-5
  • ISSN : 1341-6979
  • eISSN : 1610-7403
  • SCOPUS ID : 84888053357
  • Web of Science ID : WOS:000326924600007

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