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

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, inclu...

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Bibliographic Details
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
Description
Summary: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().

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