R code and data - Vole GLMM

NIAID Data Ecosystem2026-05-01 收录

生态统计建模

小型哺乳动物种群动态

数据链接：

https://figshare.com/articles/dataset/R_code_and_data_-_Vole_GLMM/25099835 数据链接链接失效反馈

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资源简介：

R code and data used for the GLMM analysis of Microtus sp. in Minor and Eichholz small mammal community JOWM manuscript

创建时间：

2024-02-04

Overcoming the challenge of small effective sample sizes in home-range estimation

动物活动范围估计

生态统计建模

Technological advances have steadily increased the detail of animal tracking datasets, yet fundamental data limitations exist for many species that cause substantial biases in homeârange estimation.

DataONE2019-09-23 更新90

Appendix C. Parameter estimates from the general linear model using all main effects to explain the end of the supplemental feeding season.

生态统计建模

野生动物管理

Parameter estimates from the general linear model using all main effects to explain the end of the supplemental feeding season.

NIAID Data Ecosystem40

Praomys delectorum capture-mark-recapture dataset from fieldwork on the Ukaguru Mountains, Tanzania.

小型哺乳动物种群动态

栖息地干扰

Praomys delectorum occurs abundantly in both disturbed and intact forests in the Ukaguru Mountains within the Eastern Arc Mountains (EAM), Morogoro, Tanzania. While previous studies have reported that

DataONE2021-01-26 更新30

Appendix A. Linear regressions for the grasses and forbs that were investigated in the grasshopper feeding experiment with respect to the two nonmetric multidimensional scaling axes (NMDS).

植物-昆虫相互作用

生态统计建模

Linear regressions for the grasses and forbs that were investigated in the grasshopper feeding experiment with respect to the two nonmetric multidimensional scaling axes (NMDS).

NIAID Data Ecosystem60

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

R code and data - Vole GLMM

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