This dataset was collected to build on past and ongoing monitoring and research efforts within Colorado’s Rocky Mountain National Park (RMNP). Specifically, the data were collected to test the hypothesis that reductions in canopy cover due to natural disturbances (i.e. wildfire and beetle kill) result in increases in water temperature, or the longitudinal thermal gradient of a stream. Data values include stream temperature paired with light intensity data, and air temperature data to determine the influence of riparian canopy condition and longitudinal warming across a 1 km reach. Two control streams were selected: Ouzel Creek, which has virtually no riparian canopy due to a previous wildfire; and Hunters Creek, which has a dense and healthy riparian canopy. In search of similar size streams with variable riparian conditions, the authors discovered that the beetle caused tree mortality remained mostly upland within RMNP, whereas the riparian canopy appeared healthy and much less impacted along stream corridors. Instruments were deployed in the stream with the most potential for variability, Coney Creek, in 2014. Eventually two additional streams were investigated on the western side of RMNP: Columbine Creek, which has minor beetle caused mortality within the riparian canopy; and Bowen Gulch (outside of RMNP), which displays a breif 1 kilometer (km) reach of beetle impacted canopy located between dense riparian canopy and a wetland grass meadow. The downstream reach terminus is rendered as 0 meters (m) and each monitoring station is located upstream at 250 meter intervals over a 1km reach.

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on downscaled data from various emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC, Had-ES, and IPSL. RCPs vary from 2.6 to 8.5 depending on run. GCM/RCP combination is listed in the filename. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell. GCM data from the NASA NEX DCP30 data base

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on downscaled data from various emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC, Had-ES, and IPSL. RCPs vary from 2.6 to 8.5 depending on run. GCM/RCP combination is listed in the filename. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell. GCM data from the NASA NEX DCP30 data base

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell.

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell.

The impacts of climate change on cold water species will likely manifest in populations at the trailing edge of their distribution. Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis, RGCT) occupy arid southwestern U.S.A. streams at the southern-most edge of all cutthroat trout distributions; thus making RGCT particularly vulnerable to the anticipated warming and drying in this region. However, RGCT may possess a portfolio of life-history traits that aide in their persistence, attributes commonly observed in trailing edge populations. We used otolith and multistate capture-mark-recapture data collected along a temperature and stream drying gradient to determine how these environmental constraints influence life-history trait expression (length- and age-at-maturity), demography, and extirpation risk in RGCT populations from northern New Mexico, U.S.A. We found the rate at which RGCT reached maturity was highest at warm to intermediate stream temperatures, which was the demographic trait most strongly linked to RGCT persistence. Interestingly, older life-stages contributed more to population growth as temperatures decreased, providing further evidence of strong temperature effects controlling life-history trait expression in RGCT. Precipitation, however, had little effect on RGCT population dynamics and was likely influenced by the uncharacteristically wet years (2016-2017) during this study. Regardless, our results suggest that RGCT persistence depends on temperature-influenced diversity in life-history trait expression (e.g., longevity, age-at-maturity). Plasticity in trait expression is an important life-history characteristic of coldwater species, and may be vital for trailing edge populations to persist in a changing climate.

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC, Had-ES, and IPSL. RCPs vary from 2.6 to 8.5 depending on run. GCM/RCP combination is listed in the filename. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell. GCM data from the NASA NEX DCP30 data base

Endpoint distribution of Brook and Rainbow Trout in GRSM, 2015.

Endpoint distribution of Brook and Rainbow Trout in GRSM, 2015.

The project utilized data from the Waterfowl Breeding Population and Habitat Survey, which is an annual survey conducted since 1955 by the governments of the United States and Canada to monitor waterfowl populations. These survey data were spatially and temporally layered onto long-term databases of fire perimeters for Alaska and western Canada, providing a record of waterfowl transects which had burned over the last 60 years. The project modelled abundance of dabbler and diver pairs in relation to time since fire, looking at short-term (e.g., 1–3 years) versus long-term timeframes (e.g., >5 years), and in relation to fire extent, defined as the percent of transect which had burned.