<p>Data matrix used in the R code for GMLM of functional diversity indices.</p>

NIAID Data Ecosystem2026-05-10 收录

数据链接：

https://figshare.com/articles/dataset/_p_Data_matrix_used_in_the_R_code_for_GMLM_of_functional_diversity_indices_p_/31823906 数据链接链接失效反馈

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Data matrix used in the R code for GMLM of functional diversity indices.

创建时间：

2026-03-20

Multi-species Occupancy Models Literature Review Dataset

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This is a dataset used for a literature review on multi-species occupancy models (MSOMs) as part of a manuscript titled "Multi-species Occupancy Models: Review, Roadmap, and Recommendations" submitted

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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

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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

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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

Generalised linear mixed model fitting of the data.

零膨胀混合模型

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The model used is of the form “glmm<-glmmadmb (parameter ~ locality+(1|month), zero Inflation = T, data = data,family = "pdf")”. KP = Kampung Paradason, LL = Limbuak Laut, TD = Timbang Dayang. AIC = A

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Unexpected high vulnerability of functions in wilderness areas: evidence from coral reef fishes

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功能多样性评估

High species richness is thought to support the delivery of multiple ecosystem functions and services under changing environments. Yet, some species might perform unique functional roles while others

DataONE2020-06-24 更新50

<p>Data matrix used in the R code for GMLM of functional diversity indices.</p>

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