Appendix B. Mixed-effects model incorporating habitat affinity.

NIAID Data Ecosystem2026-03-09 收录

生态统计建模

栖息地关联分析

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https://figshare.com/articles/dataset/Appendix_B_Mixed-effects_model_incorporating_habitat_affinity_/3556470 数据链接链接失效反馈

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资源简介：

Mixed-effects model incorporating habitat affinity.

创建时间：

2016-08-10

Distribution of aquatic true bugs (Hemiptera: Heteroptera: Nepomorpha) in Bulgaria

水生昆虫生态学

栖息地关联分析

We present an overview of 861 published and 575 new records of the Nepomorpha species from 519 localities in Bulgaria. The new records are based on the material collected from 232 localities between 2

Figshare2025-07-07 更新50

Appendix A. Avifauna detected within study and their habitat affinity.

生态学

栖息地关联分析

Avifauna detected within study and their habitat affinity.

NIAID Data Ecosystem40

Standard deviation of the random factor.

生态统计建模

随机效应分析

We show the standard deviation of the best model in each set (in all cases this was the model including either individual or breeding pair identities, see Tables 3 and 4), and that of the same model s

Figshare2015-12-02 更新30

Parameter estimates from a Generalized linear mixed-effects model to estimate the differences in bottom depth (m) between a randomly sampled set of bottom depths (see methods for sampling details) and bottom depths at locations of VMT-tagged seals that were or were not associated with other VMT-tag

海洋哺乳动物栖息地分析

生态统计建模

Individual seals were treated as a random effect and bottom depths encountered by each seal were modelled as an AR(1) process (autocorrelation parameter estimate, φ = 0.274). Among-seal SD in bottom d

NIAID Data Ecosystem50

Summary of generalized linear models results.

生态统计建模

蝙蝠多样性评估

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

Figshare2016-12-08 更新40

Appendix B. Mixed-effects model incorporating habitat affinity.

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