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Assembly rules for Greater Antillean Anolis lizards : Competition and random models compared
J W Haefner1,2
1Department of Biology, Utah State University, 84322-5305, Logan, UT, USA.
Oecologia
|March 18, 2017
Summary
Ecological models predict Anolis lizard distributions by considering competition and species traits. A complex competition model, adjusted for a recent colonist (Anolis sagrei), accurately predicts lizard presence on Jamaica, suggesting its persistence.
Area of Science:
- Ecology
- Biogeography
- Computational Biology
Background:
- Anolis lizards exhibit distinct ecomorphs, influencing their distribution.
- Competition is a key factor shaping species interactions and distributions.
- Predictive modeling is crucial for understanding ecological patterns.
Purpose of the Study:
- To construct and compare ecological models predicting Anolis lizard species distribution.
- To assess the role of interspecific competition in structuring lizard communities.
- To test the transferability of models between islands (Puerto Rico to Jamaica).
Main Methods:
- Development of a series of predictive models, from null models to complex competition models.
- Utilizing species-site matrices and ecological variables (niche overlap, body size).
- Employing the kappa statistic to evaluate model accuracy and agreement.
Main Results:
- Constrained null models showed agreement with observed data.
- Simple competition models had limited predictive power.
- A complex competition model showed significant agreement, especially when accounting for the invasive Anolis sagrei.
Conclusions:
- Competition models can predict Anolis lizard distributions, but require careful parameterization.
- The invasive Anolis sagrei's distribution significantly impacts model accuracy.
- The study predicts successful persistence of Anolis sagrei in experimental transplants.
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