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Current binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Canadian Regional Climate Model (CRCM) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
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Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Current probability of occurrence model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
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Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from 1) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3); 2) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM); 3) Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global...
Current density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Future binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from 1) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3); 2) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM); 3) Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global...
Future density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global Climate Model (GFDL) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Canadian Regional Climate Model (CRCM) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged and available from http://www.narccap.ucar.edu/.
Future density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
Future binomial (presence/absence) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.
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Current density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000.
Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global Climate Model (GFDL) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/.


    map background search result map search result map Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model Current density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model - Gaussian Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model Current density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model - Gaussian Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model