Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees

Plant and Soil

Volumn 354, Issue 1-2, 2012, Pages 157-172

  Aertsen, Wim ^a   Kint, Vincent ^a   de Vos, Bruno ^b   Deckers, Jozef ^a   van Orshoven, Jos ^a   Muys, Bart ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b RESEARCH INSTITUTE FOR NATURE AND FOREST INBO   (Belgium)

Author keywords

Boosted regression trees; Fagus sylvatica; Litterfal nutrient concentrations; Net primary production; Nitrogen deposition; Pinus sylvestris; Quercus robur; Site index

Indexed keywords

ACCURACY ASSESSMENT; ATMOSPHERIC DEPOSITION; CONIFEROUS TREE; DECIDUOUS TREE; ECOLOGICAL MODELING; ECOSYSTEM MODELING; FOREST FLOOR; FOREST MANAGEMENT; FORESTRY PRODUCTION; HOMOGENEITY; HUMUS; LITTERFALL; LOWLAND ENVIRONMENT; NET PRIMARY PRODUCTION; NITROGEN; NONLINEARITY; NUMERICAL MODEL; PHYSICOCHEMICAL PROPERTY; REGRESSION ANALYSIS; SOIL TYPE; TEMPERATE ENVIRONMENT;

BELGIUM; FLANDERS;

FAGUS; FAGUS SYLVATICA; PINUS SYLVESTRIS; QUERCUS ROBUR;

EID: 84860178067     PISSN: 0032079X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11104-011-1052-z     Document Type: Article

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