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AIC values for logistical GLMs, predicting the probability of prey-capture success.

Figshare2015-12-02 更新2026-04-29 收录

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https://figshare.com/articles/dataset/_AIC_values_for_logistical_GLMs_predicting_the_probability_of_prey_capture_success_/901039 数据链接链接失效反馈

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AIC values for logistical GLMs, predicting the probability of prey-capture success.

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2015-12-02

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Summary of generalized linear models results.

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Bat diversity parameters (species richness, abundance, functional richness and functional abundance) were tested as dependent variables. In all cases, the fitted model was Y = μ + Forest cover + Seaso

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Tested carcass density distribution models with corrected Akaike’s information criterion (AICc) and delta (Δ) AICc, and fitted parameters.

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Tested carcass density distribution models with corrected Akaike’s information criterion (AICc) and delta (Δ) AICc, and fitted parameters.

Figshare2018-12-12 更新20