Set_AV_TV: Single boosted regression tree (BRT) habitat models for 13 fish species based on assessed hydromorphological variables and topological variables

• Main Authors: Radinger, Johannes, Wolter, Christian, Kail, Jochem
• Format: Dataset
• Language: unknown
• Published: Dryad Digital Repository 2015
• Subjects: stream fish occurrence; river habitat; spatial scale; hydromorphological assessment; fish mobility; boosted regression trees; species distribution models; low-land sand-bed river; River Treene; Germany; Anguilla anguilla; Cobitis taenia; Gasterosteus aculeatus; Gobio gobio; Gymnocephalus cernua; Leuciscus leuciscus; Perca fluviatilis; Phoxinus phoxinus; Pungitius pungitius; Rutilus rutilus; Salmo salar; Salmo trutta fario; Tinca tinca
• Online Access: https://dx.doi.org/10.5061/dryad.b6k1k/2; http://datadryad.org/resource/doi:10.5061/dryad.b6k1k/2

Results for single boosted regression tree (BRT) models for 13 fish species, 4 modelled distance classes (0, 200, 2500, 4000 m) and assessed hydromorphological data (AV) with topological variables (stream orders, distance from mouth). Model results include a global BRT model (brt.model.global, including all variables) and a final BRT model (brt.model.final, including only statistically relevant variables) for each species. Furthermore, summarizing statistics (brt.stats.final) for each final model (e.g. cross-validated AUC) and associated plots showing the influence of selected selected variables (species_response.pdf) are provided. Models are stored as R objects in the *.rds format and can be loaded with the R command readRDS().