Abiotic and biotic factors explain independent gradients of plant community composition in ponderosa pine forests

Daniel C. Laughlin and Scott R. Abella

Ecological Modelling, 2007, vol. 205, issue 1, 231-240

Abstract: General multivariate models have appeal when analyzing ecological systems because they have the potential to shed light on the relative importance of multifaceted factors. We hypothesized that plant community composition is a function of the interactions among three general constructs: abiotic and biotic factors and disturbance history. We sampled vegetation and soils on 75 randomly located 0.05ha plots across a broad soil gradient within a 110,000ha ponderosa pine forest landscape in northern Arizona to evaluate this hypothesis.

Keywords: Structural equation modeling (SEM); Path analysis; Nitrogen; Organic matter; Elevation; Abiotic filter; Biotic filter; Disturbance; Soil texture; Composite variable; Multivariate model (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:205:y:2007:i:1:p:231-240

DOI: 10.1016/j.ecolmodel.2007.02.018

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