Comparison criteria include number of parameters (k), negative log-likelihood (−2·ln(L)), and BIC. The lowest BIC value in each comparison is boldfaced. aIn all models, random effect parameters consis

NIAID Data Ecosystem50

Supplement 2. Complete AICc results for five nitrogen fertilization treatments at Cedar Creek Long-Term Ecological Research (LTER) site (Bethel, MN, USA).

生态模型选择

氮肥响应

File List Supplement2.csv (MD5: 32a51cff7bf470d9b2608dd010c90acc) Description Model selection results from analysis of the relationship between a priori 1- and 2-variable weather models and native, ex

Figshare2016-08-10 更新30

AICc model selection analysis of linear regressions (models presented: ΔAICc <5) describing Pacific wren territory size, countersinging rate, and body condition response variables predicted by salmon biomass, wren density and environmental metrics.

物种生态响应建模

生态模型选择

Year (fixed effect) and stream (random effect) were included as variables in all models but are excluded from the table for clarity.

NIAID Data Ecosystem70

Summary of the regression models between fish species richness and the Himalayan elevational gradient.

物种丰富度建模

海拔生态梯度

aFor GLM the respective best-fit polynomial order refers to a test against no relationship and with each other. bFor GAM the respective degrees of freedom are given and refer to a test against the giv

NIAID Data Ecosystem30

Appendix C. Table of AIC comparisons of alternative models for total species richness.

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