Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > North Central CASC > FY 2017 Projects > Building Social and Ecological Resilience to Climate Change in Southwestern Colorado: Phase 2 ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2017 Projects _____Building Social and Ecological Resilience to Climate Change in Southwestern Colorado: Phase 2 Filters
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Projected suitable habitat models were constructed in randomForest (R package, version 4.6-10) using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as current mapped pinyon occupied...
Categories: Data;
Tags: Colorado,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
These datasets contain time series of anomalies, relative to 1971-2000 period, in the mean, daily minimum and maximum temperatures (F), precipitation (%), growing season lenght (GSL in days), and warm season duration index (WSDI in days) for the Southwest Colorado region for the three future climate scenarios considered in the Social Ecological and Climate Resiliency (SECR) project.
Categories: Data;
Tags: Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
Southwest Colorado,
Projected suitable habitat models were constructed in Maxent (version 3.3; Phillips et al. 2004, 2006) using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as current mapped...
Categories: Data;
Tags: Colorado,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
Projected suitable habitat models were constructed in Maxent (version 3.3; Phillips et al. 2004, 2006) using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as current mapped...
Categories: Data;
Tags: Colorado,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
Projected suitable habitat models were constructed in randomForest (R package, version 4.6-10) using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as current mapped J. osteosperma...
Categories: Data;
Tags: Colorado,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
Projected suitable habitat models were constructed using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as comparison to current mapped habitats from SWReGAP landcover (USGS...
Managers are increasingly being asked to integrate climate change adaptation into public land management. The literature discusses a range of adaptation approaches, including managing for resistance, resilience, and transformation; but many strategies have not yet been widely tested. This study employed in-depth interviews and scenario-based focus groups in the Upper Gunnison Basin in Colorado to learn how public land managers envision future ecosystem change, and how they plan to utilize different management approaches in the context of climate adaptation. While many managers evoked the past in thinking about projected climate impacts and potential responses, most managers in this study acknowledged and even embraced...
Categories: Publication;
Types: Citation
Projected suitable habitat models were constructed in randomForest (R package, version 4.6-10) using a set of presence points for the species derived from element occurrence and herbarium records, together with temperature, precipitation, and soil variables. The current distribution used modeled historic period (1970-2000) climate variables from the appropriate matching GCM model run. These model parameters were then used with projected climate data to get future (2020-2050) modeled suitable habitat for each scenario. Modeled past suitable habitat and modeled future suitable habitat are combined to show areas of change, using various thresholds to distinguish change categories, as well as current mapped pinyon occupied...
Categories: Data;
Tags: Colorado,
Data Visualization & Tools,
North Central CASC,
Science Tools For Managers,
Social Science,
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