Assessing Effective Sampling Method and Sample Size for Species Distribution Modeling of Korean Red Pine (Pinus densiflora) - 九大コレクション

＜紀要論文＞
Assessing Effective Sampling Method and Sample Size for Species Distribution Modeling of Korean Red Pine (Pinus densiflora)

作成者	作成者名 SUNG, Sun–Yong 所属機関所属機関名 Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 LEE, Dong–Kun 所属機関所属機関名 Department of Landscape Architecture and Rural Systems, Engineering, Seoul National University \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 PARK, Chan 所属機関所属機関名 Department of Landscape Architecture, University of Seoul \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 KIM, Ho–Gul 所属機関所属機関名 Division of Human Environmental Design, Cheongju University \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 KIL, Sung–Ho 所属機関所属機関名 Department of Ecological Landscape Architecture Design, Kangwon National University \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 CHAE, Hee–Mun 所属機関所属機関名 Department of Forest Environment Protection, Kangwon National University \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	作成者名 PARK, Gwan–Soo 所属機関所属機関名 Department of Forest Resources, Chungnam National University \| Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University
	著者識別子 K001681 作成者名 OHGA, Shoji 大賀, 祥治オオガ, ショウジ所属機関所属機関名 Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–Environmental Sciences, Faculty of Agriculture, Kyushu University 九州大学大学院農学研究院環境農学部門 : 教授
本文言語	英語
出版者	Faculty of Agriculture, Kyushu University
出版者	九州大学大学院農学研究院
発行日	2018-09-01
収録物名	九州大学大学院農学研究院紀要
巻	63
号	2
開始ページ	211
終了ページ	221
出版タイプ	Version of Record
アクセス権	open access
Crossref DOI	https://doi.org/10.5109/1955384

本文ファイル

ファイル	ファイルタイプ	サイズ	閲覧回数	説明
p212	pdf	2.09 MB	738

詳細

PISSN	0023-6152
NCID	AA00697606
レコードID	1955384
主題	Area–weighted sampling
	BIOMOD2
	Analysis of variance
	Korean red pine
注記	Sampling method and sample size can alter the performance of species distribution models (SDMs). In this study, we identified an effective sampling method and sample size for modeling Korean red pine (Pinus densiflora). We used 3 sampling methods (simple random sampling, stratified sampling, and area– weighted sampling), 7 different sample sizes (30, 50, 100, 200, 500, 1000, and 3000), and 8 SDMs (GLM, GAM, CTA, ANN, GBM, RF, FDA, and MAXENT). The performance of each model was evaluated using the area under the receiver operating characteristic curve. Differences among the models were validated using ANOVA. We found that the area–weighted sampling method was the most effective and stable. As sample size increased, model performance increased in the random and stratified sampling methods. However, performance became saturated as sample size exceeded 200 in the area–weighted sample due to spatial autocorrelation among samples. All models exhibited different levels of performance. The RF and GBM models exhibited the highest performance (AUC = 0.838 and 0.839, respectively), while the ANN model exhibited the lowest performance (AUC = 0.658). Therefore, sampling method and sample size should be carefully considered when selecting SDMs depending on the objective of the study
登録日	2018.09.04
更新日	2022.11.11

この情報を出力する

このページのリンク

他の検索サイト

利用統計

＜紀要論文＞ Assessing Effective Sampling Method and Sample Size for Species Distribution Modeling of Korean Red Pine (Pinus densiflora)

本文ファイル

詳細

この資料を見た人はこんな資料も見ています

＜紀要論文＞
Assessing Effective Sampling Method and Sample Size for Species Distribution Modeling of Korean Red Pine (Pinus densiflora)