Conditional logistic regression model rankings for predictors of Sharp-tailed grouse nest-site selection in the central Nebraska Sandhills, USA (2015–2016).
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https://figshare.com/articles/dataset/Conditional_logistic_regression_model_rankings_for_predictors_of_Sharp-tailed_grouse_nest-site_selection_in_the_central_Nebraska_Sandhills_USA_2015_2016_/5864784
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资源简介：
Percent cover of bare ground, shrub, dead standing vegetation (dsv), litter depth (cm), maximum vegetation height (cm), and visual obstruction reading (VOR) were fixed effects included in candidate models. Nest ID was strata term.
创建时间：
2018-02-08
