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Appendix E. Parameter estimates for the parametric seedling survival model.

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Parameter estimates for the parametric seedling survival model.

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2016-08-05

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.

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

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

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Standard deviation of the random factor.

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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

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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

Appendix E. Parameter estimates for the parametric seedling survival model.

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