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, 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().本数据集提供了针对13种鱼类物种、4组建模距离分级（0、200、2500、4000 m），以及包含拓扑变量（河流分级、距河口距离）的水文形态学评估数据（AV）的单提升回归树（boosted regression tree, BRT）模型分析结果。针对每个物种，模型结果均包含全局提升回归树模型（brt.model.global，纳入全部变量）与最终提升回归树模型（brt.model.final，仅保留统计学显著变量）。此外，还提供了各最终模型的汇总统计量（brt.stats.final，例如交叉验证AUC），以及展示所选变量影响的关联绘图（species_response.pdf）。所有模型均以R对象格式存储于*.rds文件中，可通过R语言命令readRDS()加载。