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Climate change hotspots in the United States
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We use a multi-model, multi-scenario climate model ensemble to identify climate change hotspots in the continental United States. Our ensemble consists of the CMIP3 atmosphere-ocean general circulation models, along with a high-resolution nested climate modeling system. We test both high (A2) and low (B1) greenhouse gas emissions trajectories, as well as two different statistical metrics for identifying regional climate change hotspots. We find that the pattern of peak responsiveness in the CMIP3 ensemble is persistent across variations in GHG concentration, GHG trajectory, and identification method. Areas of the southwestern United States and northern Mexico are the most persistent hotspots. The high-resolution climate modeling system produces highly localized hotspots within the basic GCM structure, but with a higher sensitivity to the identification method. Across the ensemble, the pattern of relative climate change hotspots is shaped primarily by changes in interannual variability of the contributing variables rather than by changes in the long-term mean
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Climate Science Documents
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Bird population trends are linearly affected by climate change along species thermal ranges
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Beyond the effects of temperature increase on local population trends and on species distribution shifts, how populations of a given species are affected by climate change along a species range is still unclear. We tested whether and how species responses to climate change are related to the populations locations within the species thermal range. We compared the average 20 year growth rates of 62 terrestrial breeding birds in three European countries along the latitudinal gradient of the species ranges. After controlling for factors already reported to affect bird population trends (habitat specialization, migration distance and body mass), we found that populations breeding close to the species thermal maximum have lower growth rates than those in other parts of the thermal range, while those breeding close to the species thermal minimum have higher growth rates. These results were maintained even after having controlled for the effect of latitude per se. Therefore, the results cannot solely be explained by latitudinal clines linked to the geographical structure in local spring warming. Indeed, we found that populations are not just responding to changes in temperature at the hottest and coolest parts of the species range, but that they show a linear graded response across their European thermal range. We thus provide insights into how populations respond to climate changes. We suggest that projections of future species distributions, and also management options and conservation assessments, cannot be based on the assumption of a uniform response to climate change across a species range or at range edges only.
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Climate Science Documents
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Analysis of monotonic greening and browning trends from global NDVI time-series
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Remotely sensed vegetation indices are widely used to detect greening and browning trends; especially the global coverage of time-series normalized difference vegetation index (NDVI) data which are available from 1981. Seasonality and serial auto-correlation in the data have previously been dealt with by integrating the data to annual values; as an alternative to reducing the temporal resolution, we apply harmonic analyses and non-parametric trend tests to the GIMMS NDVI dataset (1981–2006). Using the complete dataset, greening and browning trends were analyzed using a linear model corrected for seasonality by subtracting the seasonal component, and a seasonal non-parametric model. In a third approach, phenological shift and variation in length of growing season were accounted for by analyzing the time-series using vegetation development stages rather than calendar days. Results differed substantially between the models, even though the input data were the same. Prominent regional greening trends identified by several other studies were confirmed but the models were inconsistent in areas with weak trends. The linear model using data corrected for seasonality showed similar trend slopes to those described in previous work using linear models on yearly mean values. The non-parametric models demonstrated the significant influence of variations in phenology; accounting for these variations should yield more robust trend analyses and better understanding of vegetation trends.
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Climate Science Documents
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Reviewing Studies of Caves and Subterranean Biodiversity
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A status review of studies from the cave and karst classification and mapping research project examined an array of research regarding cave environments, cave/karst biodiversity, and previous techniques for mapping and modeling such ecosystems.
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News & Events
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Reviewing Existing Tools and Data on Hydrologic and Ecologic Flow Models
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The Aquatic Ecological Flows project reviewed existing tools and gathered available data within the project area on hydrologic and ecological flow models that would be suitable to use for the region.
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News & Events
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Development of a Spatially Explicit Surface Coal Mining Predictive Model
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The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
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Tools & Resources
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Assessing Future Energy Development
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Development of a Spatially Explicit Surface Coal Mining Predictive Model
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The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
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Workspace
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Deliverables
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Aquatic Ecological Flows Project Update
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This presentation from Dr. Todd Walter of Cornell University provides an update to the Steering Committee on the Appalachian LCC funded research project. The Aquatic Ecological Flows project is providing a report assessing availability of hydrologic and ecological flow model(s) suitable for the region, a georeference assessment of available ecological data to inform the ecological flow model(s), the application of the model(s) to anticipate how altered flow regimes will affect critical conditions, and a report that forecasts changes in hydrology and associated predicted biological responses in relation to different water resource development scenarios for critical watersheds.
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Cooperative
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Past SC Meetings and Materials
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Steering Committee Call 3/6/14
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Synthesis of climate model downscaling products for the southeastern United States
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Downscaling translates large-scale climate information to the local scale. There are several techniques for handling this process; recently, several downscaled climate products have been produced by government and academic researchers. Ecologists, conservation scientists, and practitioners require such local guidance to evaluate adaptation and conservation strategies. However, the large number of methods involved, different downscaling approaches, resolutions, time periods, and focal variables limits the ability of these users to form meaningful conclusions and evaluate the results of adaptation strategies. To address these issues, this project will summarize the methods used for downscaling, identify the metrics most appropriate for evaluation of climate model skill and usability for the ecological and conservation communities in the southeastern US, and begin a longer-term effort to evaluate the range of downscaled climate products over this geographic region.
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Research
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What are Future Climate Projections for Precipitation and Temperature for Your County?
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For the first time, maps and summaries of historical and projected temperature and precipitation changes for the 21st century for the continental U.S. are accessible at a county-by-county level on a website developed by the U.S. Geological Survey in collaboration with the College of Earth, Oceanic and Atmospheric Sciences at Oregon State University.
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