論文

査読有り 国際誌
2018年12月1日

Image analysis procedure for the optical scanning of fine-root dynamics: errors depending on the observer and root-viewing window size.

Tree physiology
  • Tomonori Kume
  • ,
  • Mizue Ohashi
  • ,
  • Naoki Makita
  • ,
  • Lip Khoon Kho
  • ,
  • Ayumi Katayama
  • ,
  • Izuki Endo
  • ,
  • Kazuho Matsumoto
  • ,
  • Hidetoshi Ikeno

38
12
開始ページ
1927
終了ページ
1938
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/treephys/tpy124

Clarifying the dynamics of fine roots is critical to understanding carbon and nutrient cycling in forest ecosystems. An optical scanner can potentially be used in studying fine-root dynamics in forest ecosystems. The present study examined image analysis procedures suitable for an optical scanner having a large (210 mm × 297 mm) root-viewing window. We proposed a protocol for analyzing whole soil images obtained by an optical scanner that cover depths of 0-210 mm. We tested our protocol using six observers with different experience in studying roots. The observers obtained data from the manual digitization of sequential soil images recorded for a Bornean tropical forest according to the protocol. Additionally, the study examined the potential tradeoff between the soil image size and accuracy of estimates of fine-root dynamics in a simple exercise. The six observers learned the protocol and obtained similar temporal patterns of fine-root growth and biomass with error of 10-20% regardless of their experience. However, there were large errors in decomposition owing to the low visibility of decomposed fine roots. The simple exercise revealed that a smaller root-viewing window (smaller than 60% of the original window) produces patterns of fine-root dynamics that are different from those for the original window size. The study showed the high applicability of our image analysis approach for whole soil images taken by optical scanners in estimating the fine-root dynamics of forest ecosystems.

リンク情報
DOI
https://doi.org/10.1093/treephys/tpy124
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30452737
ID情報
  • DOI : 10.1093/treephys/tpy124
  • ISSN : 0829-318X
  • PubMed ID : 30452737

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