DOI: 10.5061/dryad.c2378
title: Data from: Effects of climate change on habitat availability and configuration for an endemic coastal alpine bird

description: North America’s coastal mountains are particularly vulnerable to climate
 change, yet harbour a number of endemic species. With little room “at the
 top” to track shifting climate envelopes, alpine species may be especially
 negatively affected by climate-induced habitat fragmentation. We ask how
 climate change will affect the total amount, mean patch size, and number
 of patches of suitable habitat for Vancouver Island White-tailed Ptarmigan
 (Lagopus leucura saxatilis; VIWTP), a threatened, endemic alpine bird.
 Using a Random Forest model and a unique dataset consisting of citizen
 science observations combined with field surveys, we predict the
 distribution and configuration of potential suitable summer habitat for
 VIWTP under current and future (2020s, 2050s, and 2080s) climates using
 three general circulation models and two greenhouse gas concentration
 scenarios. VIWTP summer habitat is predicted to decline by an average of
 25%, 44%, and 56% by the 2020s, 2050s, and 2080s, respectively, under the
 low greenhouse gas scenario and 27%, 59%, and 74% under the high scenario.
 Habitat patches are predicted to become fragmented into several smaller
 patches, with a 52-79% reduction in mean patch size. All climate change
 models and greenhouse gas scenarios depict near total loss of all patches
 &gt; 1 km2. Most remaining habitat, or climate macro-refugia, will be
 located in the center of the island. The extent to which ptarmigan will be
 able to persist in increasingly fragmented habitat is unclear. Much will
 depend on the ability of ptarmigan to move throughout a more heterogeneous
 landscape, utilize smaller breeding areas, and survive increasingly
 variable climate extremes. Our results emphasize the importance of
 continued monitoring and protection for high elevation specialist species,
 and suggest that White-tailed Ptarmigan should be considered an indicator
 species for alpine ecosystems in the face of climate change.
description: Predictor variables for
 all of Vancouver Island (current climate)allVI_fewvars_1980_2010.csv.zip is a compressed grid created for Vancouver Island at 100-m resolution with topographic variables and climate variables downloaded from ClimateBC version 5.03 (http://cfcg.forestry.ubc.ca/projects/climate-data/climatebcwna/#ClimateBC). This file was used to project the Random Forest model for VIWTP habitat suitability across the entire study area of Vancouver Island. The variables are the same as those described for the presabs_both_IndYears_allvars_final.csv file.allvi_fewvars_1980_2010.csv.zipFuture climate variables for all Vancouver IslandallVI_futureclimates.zip is a compressed file including future climate variables (mean summer precipitation, precipitation as snow, and average summer temperature) covering all of Vancouver Island at 100-m resolution (the same resolution as the topographic variables in Rasters.zip). Each file represents future climate variables for one of three general circulation models (Can, CCSM, or GFDL), one of two IPCC emissions scenarios from the AR5 report (RCP 4.5 or RCP 8.5) and one of three future time periods (2020's, 2050's, or 2080's).allVI_futureclimates.zipPresence-absence dataset for VIWTPpresabs_both_IndYears_allvars_final.csv is the final presence-absence dataset for Vancouver Island White-tailed Ptarmigan used in the model. It contains pseudo-absences that were generated using the methods described in the manuscript. It contains topographic and biogeoclimatic zone data from as described in the manuscript and climate variables that were obtained from ClimateBC version 5.03 (http://cfcg.forestry.ubc.ca/projects/climate-data/climatebcwna/#ClimateBC). Description and data format for each variable (column header) is described in the same order as they appear in the presabs_both_IndYears_allvars_final.csv file. (Also see Table 1 in the manuscript for variable descriptions.) [1] FNETID. Unique ID for each observation. [2] pres. Whether the observation is a presence (1) or a pseudo-absence (0). [3] Year. The year the observation was collected. For pseudo-absences, years were assigned randomly based on the prevalence of years in the presence dataset. [4] datatype. Dataset from which the observation originated. PUB = public observation, FS = field survey, NA = pseudo-absence. [5] BCAlbX. BC Environment Albers X coordinate. [6] BCAlbY. BC Environment Albers Y coordinate. [7] BEC. Biogeoclimatic Zone. MH = Mountain Hemlock, AT = Alpine Tundra, CWH = Coastal Western Hemlock. [8] Elevation. Elevation in meters. [9] Aspect. Aspect reclassified according to solar incidence. We transformed aspect as x = -1*cos[Ø(π/180)], where Ø is the aspect measured in degrees. Values ranged from -1 where the angle of solar incidence was lower (north-facing slopes) to 1 where it was higher (south-facing slopes). The importance of aspect depends on slope, so we assigned aspects with slopes of &lt;5° a neutral value of 0. [10] Slope. Slope in degrees. [11] CTI. Compound Topographic Index, a function of the slope and the upstream contributing area. [12] Rugg9. Vector Ruggedness Measure, a measurement of terrain ruggedness as the variation in three-dimensional orientation of grid cells within a 9-cell neighborhood. [13] Tave_sm. Summer mean temperature (degrees C). [14] MSP. Mean annual summer (May – Sept.) precipitation (mm).[15] PAS. Precipitation as snow from August in previous year to July of current year (mm).presabs_both_IndYears_allvars_final.csvRandom Forest Model (R Data)RF_BOTH.RData is the Random Forest model that was generated for predicting VIWTP habitat suitability.RF_BOTH.RDataReadMe file for data package