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起伏ある林床の微地形の最小2 乗法による判定
http://hdl.handle.net/10091/0002001460
http://hdl.handle.net/10091/0002001460716a88fa-bcbf-4b22-9e27-1b0b0f7f3b3e
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
44-01_Arase-Nakano.pdf
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-05-19 | |||||||||
| タイトル | ||||||||||
| タイトル | 起伏ある林床の微地形の最小2 乗法による判定 | |||||||||
| タイトル | ||||||||||
| タイトル | Classification of Undulating Forest Floor Microtopography by a Least Squares Method | |||||||||
| 言語 | ||||||||||
| 言語 | jpn | |||||||||
| キーワード | ||||||||||
| 主題 | 微地形, 最小2乗法, 2次多項式, 林床, クロモジ, Microtopography, Least squares method, Quadratic polynomial, Forest floor, Lindera umbellata | |||||||||
| 資源タイプ | ||||||||||
| 資源 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| タイプ | journal article | |||||||||
| 著者 |
荒瀬, 輝夫
× 荒瀬, 輝夫
× 中野, 正基
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| 信州大学研究者総覧へのリンク | ||||||||||
| 氏名 | 荒瀬, 輝夫 | |||||||||
| URL | https://soar-rd.shinshu-u.ac.jp/profile/ja.uNyhPUkh.html | |||||||||
| 出版者 | ||||||||||
| 出版者 | 信州大学環境科学研究会 | |||||||||
| 引用 | ||||||||||
| 内容記述 | 環境科学年報 44 : 1-7, (2022) | |||||||||
| 書誌情報 |
環境科学年報 巻 44, p. 1-7, 発行日 2022-03 |
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| 抄録 | ||||||||||
| 内容記述 | Undulating forest-floor microtopography was examined in a natural Lindera umbellata habitat using a least squares method. Centered at each tree, relative elevation was measured at five points (0, 50 and 100 cm from the tree) along longitudinal and lateral base lines. A quadratic polynomial with the relative elevation as the dependent variable and distance from the tree as the independent variable was used to model the microtopography with the sign of the coefficient of the binominal term indicating convex or concave microtopography. Regarding the approximation accuracy for the base line directions, a standard error was slightly larger (mostly up to 15 cm) while R2 was larger (mostly over 0.9) for longitudinal measurements, and standard error was smaller (mostly up to 10 cm) while R2 was lower (less than half were over 0.9) for lateral measurements. Results of this least squares method were compared to those of the topographic position index (TPI), which is based on differences in relative elevation; 92.8% of ‘convex-convex’ (longitudinal-lateral directions) microtopography cases were evaluated as ‘convex’ in TPI and 78.9% of the ‘concave-concave’ cases were evaluated as ‘concave’ in TPI. However, this least squares method detected ‘convex-concave’ and ‘concave-convex’ microtopographies, which cannot be described by TPI. From analysis using quantification theory type one (multiple regression analysis with dummy data as independent variables) to explain the number of L. umbellata trees by various topographical features, ‘mid-slope’ and ‘valley’ in larger-scale topographies, and ‘concave’ in microtopographies for both the longitudinal and lateral directions were estimated with negative weighting; microtopography in the present study could be related to the degree of soil humidity in the L. umbellata habitat. | |||||||||
| 資源タイプ（コンテンツの種類） | ||||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | EISSN | |||||||||
| 収録物識別子 | 0915-7492 | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN1054947X | |||||||||
| 出版タイプ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
