論文

査読有り
2013年1月

Separate estimation of N export into baseline N leakage without disturbance and N loss due to insect defoliation in a pine forest watershed in central Japan

ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Tokuchi Naoko
  • ,
  • Ohte Nobuhito
  • ,
  • Osaka Ken'ichi
  • ,
  • Katsuyama Masanori

185
1
開始ページ
855
終了ページ
863
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10661-012-2596-y
出版者・発行元
SPRINGER

Pine wilt disease (PWD) is caused by a non-native pest that has spread extensively throughout Japan. Previous research has indicated that most infected trees have died and the litter deposited has resulted in changes to stream-water chemistry, particularly increased nitrate (NO (3) (-) ) concentrations. In this study, we divided stream nitrogen (N) export into N loss due to PWD and baseline N leakage without disturbance based on long-term monitoring. The annual N export was 110.0 mol N ha(-1) year(-1) in 1990 and 749.8 mol N ha(-1) year(-1) in 1997, and had decreased to 37.0 mol N ha(-1) year(-1) in 2005. N export under PWD influence was estimated to be 3697 mol N ha(-1), and N loss due to PWD was 2810 mol N ha(-1). N loss due to PWD was three times larger than baseline N leakage for the disturbed period. These changes in plant-herbivore relationships could affect N status in a forest ecosystem. So-called "semi-natural" disturbances related to non-native species invasion and increases of atmospheric N deposition caused by human activity will increase. Long-term monitoring studies of various aspects are necessary to offer insight into this ecosystem.

リンク情報
DOI
https://doi.org/10.1007/s10661-012-2596-y
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/22454049
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000312835300068&DestApp=WOS_CPL
URL
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84871972758&origin=inward
ID情報
  • DOI : 10.1007/s10661-012-2596-y
  • ISSN : 0167-6369
  • PubMed ID : 22454049
  • SCOPUS ID : 84871972758
  • Web of Science ID : WOS:000312835300068

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