論文

査読有り 本文へのリンクあり
2022年7月6日

Estimating plant–insect interactions under climate change with limited data

Scientific Reports
  • Yui Tamura
  • ,
  • Takeshi Osawa
  • ,
  • Ken Tabuchi
  • ,
  • Kazuhisa Yamasaki
  • ,
  • Tokumitsu Niiyama
  • ,
  • Shigeto Sudo
  • ,
  • Yasushi Ishigooka
  • ,
  • Akira Yoshioka
  • ,
  • Mayura B. Takada

12
1
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41598-022-14625-9
出版者・発行元
Springer Science and Business Media LLC

Abstract

Climate change may disrupt species–species interactions via phenological changes in one or both species. To predict and evaluate the influence of climate change on these interactions, long-term monitoring and sampling over large spatial areas are required; however, funding and labor constraints limit data collection. In this study, we predict and evaluate the plant–insect interactions with limited data sets. We examined plant–insect interaction using observational data for development of the crop plant rice (Oryza sativa) and an effective accumulated temperature (EAT) model of two mirid bugs (Stenotus rubrovittatus and Trigonotylus caelestialium). We combined 11 years of records monitoring rice phenology and the predicted phenology of mirid bugs using spatially–explicit EAT models based on both spatially and temporally high resolutions temperature data sets, then evaluated their accuracy using actual pest damage records. Our results showed that the predicted interactions between rice and mirid bugs explained rice damage to some degree. Our approach may apply predicting changes to plant–insect interactions under climate change. As such, combining plant monitoring records and theoretical predictions of insect phenology may be effective for predicting species–species interactions when available data are limited.

リンク情報
DOI
https://doi.org/10.1038/s41598-022-14625-9 本文へのリンクあり
URL
https://www.nature.com/articles/s41598-022-14625-9.pdf
URL
https://www.nature.com/articles/s41598-022-14625-9
ID情報
  • DOI : 10.1038/s41598-022-14625-9
  • eISSN : 2045-2322

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