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

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  • Laughlin, Daniel C.
  • Abella, Scott R.

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.

Suggested Citation

  • Laughlin, Daniel C. & Abella, Scott R., 2007. "Abiotic and biotic factors explain independent gradients of plant community composition in ponderosa pine forests," Ecological Modelling, Elsevier, vol. 205(1), pages 231-240.
    • Handle: RePEc:eee:ecomod:v:205:y:2007:i:1:p:231-240
    DOI: 10.1016/j.ecolmodel.2007.02.018
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    1. David R. Heise, 1972. "Employing Nominal Variables, Induced Variables, and Block Variables in Path Analyses," Sociological Methods & Research, , vol. 1(2), pages 147-173, November.
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    Cited by:

    1. Boykin, Kenneth G. & McDaniel, Kirk C., 2008. "Simulated potential effects of ecological factors on a hypothetical population of Chiricahua leopard frog (Rana chiricahuensis)," Ecological Modelling, Elsevier, vol. 218(1), pages 175-181.
    2. Muyuan Ma & Yaojun Zhu & Yuanyun Wei & Nana Zhao, 2021. "Soil Nutrient and Vegetation Diversity Patterns of Alpine Wetlands on the Qinghai-Tibetan Plateau," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    3. Wälder, Konrad & Frischbier, Nico & Bredemeier, Michael & Näther, Wolfgang & Wagner, Sven, 2008. "Analysis of OF-layer humus mass variation in a mixed stand of European beech and Norway spruce: An application of structural equation modelling," Ecological Modelling, Elsevier, vol. 213(3), pages 319-330.

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