Results of forward selection in CCA.

NIAID Data Ecosystem2026-03-11 收录

波希米亚龙胆生态位

物种-生境关系

数据链接：

https://figshare.com/articles/dataset/Results_of_forward_selection_in_CCA_/11410737 数据链接链接失效反馈

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资源简介：

Environmental variables as explanatory variables of species composition at the sites where Bohemian gentian occurs. Significant p-values are marked by *.

创建时间：

2019-12-19

R script and datasets - CCA

有害甲藻群落

物种-生境关系

This folder contained a R script and datasets to perform a Canonical correspondence analysis (CCA) in R. CCA was used to infer the underlying relationship between the benthic harmful dinoflagellate as

Figshare2020-05-30 更新90

Results of Canonical Correspondence Analysis (CCA) on relations between the abundance of diatom species and environmental factors studied.

硅藻生态学

物种-生境关系

Values of P and F are calculated using Monte Carlo permutation test with 5000 permutations.

Figshare2017-05-05 更新30

Plankton dataset of Nuevo Gulf, northern Patagonia, Argentina

浮游生物生态

物种-生境关系

Here, we present a plankton dataset from northern Patagonia, Argentina, aimed at studying the ecological aspects of plankton and its relationships with environmental variables. Sampling was conducted

NIAID Data Ecosystem10

Intercept, partial regression coefficients (± SE)and associated t -tests for the species richness of small and large firmly attached algae regressed against our explanatory variables in the Upper Paraná River floodplain.

藻类生态学

物种-生境关系

Significant results are highlighted in bold.

NIAID Data Ecosystem30

Appendix A. A map of the study area, information on the sampling design, trapping method, the list of environmental and landscape variables and how they were quantified, statistical methodology, formulas for the fitted lines from the figures in the manuscript, and output tables and figures from the ordination procedures.

生态学环境梯度分析

物种-生境关系

A map of the study area, information on the sampling design, trapping method, the list of environmental and landscape variables and how they were quantified, statistical methodology, formulas for the

NIAID Data Ecosystem20

Results of forward selection in CCA.

资源简介：

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