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Testing hypotheses on shape and distribution of ecological response curves

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  • Heikkinen, Juha
  • Mäkipää, Raisa

Abstract

Niche theory with hypotheses on shape and distribution of ecological response curves is used in the studies of resource sharing of competing plant species. Predictions based on theory should be applicable when, e.g., effects of competing species on the ecological tolerances are assessed or species’ diversity along a resource gradient is evaluated. We studied the ecological response curves of competing plant species along a resource gradient in boreal forests. The study was based on nation-wide soil and vegetation data collected from 455 sample plots on boreal forests in Finland. Species response curves along a soil fertility gradient (in terms of C/N ratio) were estimated using generalized additive models. Distribution of species optima and the relationship of niche width and skewness to the location of the optimum were analyzed with new bootstrap tests. The developed tests can account for the effects of truncation observed in the response curves of several species and for the uneven distribution of observations on the gradient.

Suggested Citation

  • Heikkinen, Juha & Mäkipää, Raisa, 2010. "Testing hypotheses on shape and distribution of ecological response curves," Ecological Modelling, Elsevier, vol. 221(3), pages 388-399.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:3:p:388-399
    DOI: 10.1016/j.ecolmodel.2009.10.030
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    1. Robert B. McKane & Loretta C. Johnson & Gaius R. Shaver & Knute J. Nadelhoffer & Edward B. Rastetter & Brian Fry & Anne E. Giblin & Knut Kielland & Bonnie L. Kwiatkowski & James A. Laundre & Georgia M, 2002. "Resource-based niches provide a basis for plant species diversity and dominance in arctic tundra," Nature, Nature, vol. 415(6867), pages 68-71, January.
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    Cited by:

    1. Pavão, D.C. & Elias, R.B. & Silva, L., 2019. "Comparison of discrete and continuum community models: Insights from numerical ecology and Bayesian methods applied to Azorean plant communities," Ecological Modelling, Elsevier, vol. 402(C), pages 93-106.
    2. Jana Michaelis & Martin R Diekmann, 2017. "Biased niches – Species response curves and niche attributes from Huisman-Olff-Fresco models change with differing species prevalence and frequency," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-16, August.
    3. Citores, L. & Ibaibarriaga, L. & Lee, D.-J. & Brewer, M.J. & Santos, M. & Chust, G., 2020. "Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models," Ecological Modelling, Elsevier, vol. 418(C).
    4. Maggini, Ramona & Lehmann, Anthony & Kéry, Marc & Schmid, Hans & Beniston, Martin & Jenni, Lukas & Zbinden, Niklaus, 2011. "Are Swiss birds tracking climate change?," Ecological Modelling, Elsevier, vol. 222(1), pages 21-32.
    5. Bell, David M. & Schlaepfer, Daniel R., 2016. "On the dangers of model complexity without ecological justification in species distribution modeling," Ecological Modelling, Elsevier, vol. 330(C), pages 50-59.
    6. Boisson, Sylvain & Monty, Arnaud & Séleck, Maxime & Ngoy Shutcha, Mylor & Faucon, Michel-Pierre & Mahy, Grégory, 2020. "Ecological niche distribution along soil toxicity gradients: Bridging theoretical expectations and metallophyte conservation," Ecological Modelling, Elsevier, vol. 415(C).

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