文献
J-GLOBAL ID:201202207487999467
整理番号:12A0675610
Boosted regression treesによる林床,土壌及びリターフォール特性からの温帯低地の森林地域生産性の予測
Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees
著者 (6件):
AERTSEN Wim
(Katholieke Universiteit Leuven, Dep. of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, BE-3001 ...)
,
KINT Vincent
(Katholieke Universiteit Leuven, Dep. of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, BE-3001 ...)
,
DE VOS Bruno
(Res. Inst. for Nature and Forest, Gaverstraat 4, BE-9500, Geraardsbergen, BEL)
,
DECKERS Jozef
(Katholieke Universiteit Leuven, Dep. of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, BE-3001 ...)
,
VAN ORSHOVEN Jos
(Katholieke Universiteit Leuven, Dep. of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, BE-3001 ...)
,
MUYS Bart
(Katholieke Universiteit Leuven, Dep. of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, BE-3001 ...)
資料名:
Plant and Soil
(Plant and Soil)
巻:
354
号:
1-2
ページ:
157-172
発行年:
2012年05月
JST資料番号:
H0060A
ISSN:
0032-079X
CODEN:
PLSOA2
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)