We used traits measurements from 2017 to 2020 to partition trait variances across four nested scales. Next, we tested for the effects of abiotic and biotic variables measured or calculated at pond

NIAID Data Ecosystem20

Appendix C. A table presenting the results of a three-way generalized linear model describing temporal, spatial, and locational variation in species richness and total abundance of macrobenthic taxa.

底栖生物多样性

生态统计建模

A table presenting the results of a three-way generalized linear model describing temporal, spatial, and locational variation in species richness and total abundance of macrobenthic taxa.

NIAID Data Ecosystem10

The model selection result, investigating percentage body weight change during tagging of Eurasian beavers ( Castor fiber ) in South-Eastern Norway (2009–2020).

野生动物标记影响评估

生态统计建模

Each model represents a linear mixed effects model with beaver ID included as a random effect. Potential fixed effects included in each candidate model are tag weight as a percent of initial beaver bo

NIAID Data Ecosystem20

Horn growth.

羚羊角生长

生态统计建模

AICc-based ranking of candidate linear models explaining variation in horn growth in kid and yearling chamois across the two study areas (regional model) and in Il Fuorn (local model). Only the five h

NIAID Data Ecosystem20

Appendix D. Pearson correlation coefficients between environmental variables.

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