Relative influence of environmental variables in boosted regression tree models including spatial variables.
Jonathan D. Tonkin
Andrea Sundermann
Sonja C. Jähnig
Peter Haase
10.1371/journal.pone.0135450.g004
https://plos.figshare.com/articles/figure/_Relative_influence_of_environmental_variables_in_boosted_regression_tree_models_including_spatial_variables_/1510796
<p>Relative influence of each environmental variable from four categories (physical, land use, chemical, and spatial) on the boosted regression tree models predicting the main axis of regional faunal composition (Metacom 1) in 168 low-mountain streams and rivers in central Germany categorised into all sites (N = 168), headwaters (N = 48), mid-sized (N = 69) and large rivers (N = 51). The top plot shows the relative influence of each individual variable and the bottom the combined influence of each category of variables. Note catchment size was removed from all size-based models (i.e. headwaters, mid-sized and large rivers). See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0135450#pone.0135450.t001" target="_blank">Table 1</a> for a description of variables and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0135450#pone.0135450.t003" target="_blank">Table 3</a> for the results of BRT analyses.</p>
2015-08-13 04:02:09
biodiversity patterns
riverine benthic invertebrate assemblages
Metacommunity Structure Framework
Faunal composition patterns
faunal distribution patterns