The derivation of species response curves with Gaussian logistic regression is sensitive to sampling intensity and curve characteristics

Ecological Modelling

Volumn 199, Issue 2, 2006, Pages 164-175

  Coudun, Christophe ^a   Gégout, Jean Claude ^a  

^a LERFoB   (France)

Author keywords

Artificial data; Ecological amplitude; Ecological optimum; EcoPlant database; Forest plants; Logistic regression; pH; Sampling; Species response curve

Indexed keywords

ARTIFICIAL DATA; ECOLOGICAL AMPLITUDE; ECOLOGICAL OPTIMUM; ECOPLANT DATABASE; FOREST PLANTS; LOGISTIC REGRESSION; SPECIES RESPONSE CURVE;

ECOLOGY; MATHEMATICAL MODELS; PH EFFECTS; PLANTS (BOTANY); SAMPLING; SOILS;

REGRESSION ANALYSIS;

ECOLOGICAL MODELING; ENVIRONMENTAL RESPONSE; GAUSSIAN METHOD; PH; PLANT; REGRESSION; SAMPLING; SOIL PROPERTY;

EID: 33750065745     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.05.024     Document Type: Article

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