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Predictors of spatial variability in edge-effect parameters in fragmented and intact Amazonian forests, using general linear models.

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NIAID Data Ecosystem2026-03-06 收录
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https://figshare.com/articles/dataset/_Predictors_of_spatial_variability_in_edge_effect_parameters_in_fragmented_and_intact_Amazonian_forests_using_general_linear_models_/614561
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Notes: The P value for each predictor is for a full model that includes all predictors (significant P values are shown in bold). Predictors for each plot include distance to the nearest forest edge, the number of nearby forest edges, fragment (or reserve) area, the cattle ranch in which fragments were located, percent sand content, soil carbon content, and the mean slope. Analyses are based on 40 1-ha plots randomly stratified across the study area (overall floristic change, floristic vectors 1–2, species turnover) or on all 66 1-ha plots in the study (all other response variables).
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