論文

査読有り
2017年3月

Decades-long effects of high CO2 concentration on soil nitrogen dynamics at a natural CO2 spring

ECOLOGICAL RESEARCH
  • Miki U. Ueda
  • ,
  • Yusuke Onoda
  • ,
  • Chiho Kamiyama
  • ,
  • Kouki Hikosaka

32
2
開始ページ
215
終了ページ
225
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s11284-016-1432-1
出版者・発行元
SPRINGER JAPAN KK

The effects of high atmospheric CO2 concentration ([CO2]) on ecosystem processes have been explored using temporal facilities such as open-top-chambers and free-air CO2 enrichment. However, the effects of high [CO2] on soil properties takes decades and may not be captured by short-term experiments. Natural CO2 springs provide a unique opportunity to study the long-term effects of high [CO2]. In this study, we investigated soil properties at a natural CO2 spring. We found that the amounts of total carbon (C) and nitrogen (N) stored in the soil at the high [CO2] site exceeded those in the reference site by 60 and 30%, respectively. The effects of high [CO2] were large in the upper slope position where the canopy openness was high and plants grew faster, but no effects were detected in the lowest position where the canopy openness was lower (half of that at the upper slope position). In contrast, effects of high [CO2] on soil N dynamics, such as N mineralization and nitrification rates, did not exhibit a slope gradient. This suggests that effects of high [CO2] differed among soil stoichiometric characteristics and N dynamics. These complicated effects of high [CO2] imply that the future effects of high [CO2] on ecosystems could vary widely in conjunction with environmental conditions such as light availability and/or topographic conditions.

リンク情報
DOI
https://doi.org/10.1007/s11284-016-1432-1
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000394982300014&DestApp=WOS_CPL
URL
http://orcid.org/0000-0001-6245-2342
ID情報
  • DOI : 10.1007/s11284-016-1432-1
  • ISSN : 0912-3814
  • eISSN : 1440-1703
  • Web of Science ID : WOS:000394982300014

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