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These data are forecast barren land change under the PCM A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the GFDL B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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Synopsis: This study analyzed the effects of vegetation change on hydrological fluctuations in the Columbia River basin over the last century using two land cover scenarios. The first scenario was a reconstruction of historical land cover vegetation, c. 1900. The second scenario was more recent land cover as estimated from remote sensing data for 1990. The results show that, hydrologically, the most important vegetation-related change has been a general tendency towards decreased vegetation maturity in the forested areas of the basin. This general trend represents a balance between the effects of logging and fire suppression. In those areas where forest maturity has been reduced as a result of logging, wintertime...
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Reports of decreasing quaking aspen (Populus tremuloides) cover in forests of the western USA have caused concern about the long-term persistence of aspen on landscape scales. We assessed changes in overstory aspen dominance on the Uncompahgre Plateau in western Colorado over a 20 year period. We measured stand density, species composition and regeneration in 53 undisturbed, mature pure aspen, pure conifer, and mixed aspen/conifer stands originally inventoried between 1979 and 1983. Ages of overstory and understory trees were used to evaluate long-term change in regeneration and overstory development. While pure aspen stands occupy 16% of the study area, mixed aspen and conifer stands cover 62% of the forested landscape...
Human activities have caused the decline of numerous species and ecosystems. To promote ecosystem resilience, recent management efforts aim to maintain ecosystem patterns and processes within their historical range of variability. There has been substantial concern that quaking aspen, the most widely distributed tree in North America and the most important deciduous tree in the subalpine forests of the Rocky Mountains, has declined significantly in the western landscape during the 20th century. This reported decline has been attributed to conifer encroachment associated with fire exclusion, as well as other causes. To assess long-term changes in the extent of quaking aspen in a 175000-ha study area in western Colorado,...
Evidence from woodrat middens and tree rings at Dutch John Mountain (DJM) in northeastern Utah reveal spatiotemporal patterns of pinyon pine (Pinus edulis Engelm.) colonization and expansion in the past millennium. The DJM population, a northern outpost of pinyon, was established by long-distance dispersal (approximately 40 km). Growth of this isolate was markedly episodic and tracked multidecadal variability in precipitation. Initial colonization occurred by AD 1246, but expansion was forestalled by catastrophic drought (1250-1288), which we speculate produced extensive mortality of Utah Juniper (Juniperus osteosperma (Torr.) Little), the dominant tree at DJM for the previous approximately 8700 years. Pinyon then...
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These data are forecast barren land change under the GFDL B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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This dataset combines the sensitive soils datasets for the Southern Rockies Landscape Conservation Cooperative, the projected future vegetation and the simulated historic potential natural vegetation, created using the MC2 dynamic global vegetation model. Colors represent unique combinations of vegetation change and the number of sensitive soil factors present in a given area.
Increases in the abundance or density of woody plants in historically semiarid and arid grassland ecosystems have important ecological, hydrological, and socioeconomic implications. Using a simplified water-balance model, we propose a framework for conceptualizing how woody plant encroachment is likely to affect components of the water cycle within these ecosystems. We focus in particular on streamflow and the partitioning of evapotranspiration into evaporation and transpiration. On the basis of this framework, we suggest that streamflow and evaporation processes are affected by woody plant encroachment in different ways, depending on the degree and seasonality of aridity and the availability of subsurface water....
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These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor...
Tags: Arizona, Botany, Climatology, Colorado River, Diamond Creek, All tags...
As the earth becomes a quilt of managed patches, ecohydrologists need to move from describing to predicting the consequences of human activities, using knowledge to improve human well-being. We highlight three current opportunities in ecohydrology. The first is the need for stronger research in arid and semi-arid ecosystems, where water is scarce and a tight coupling exists between hydrology and ecology. The second is to build better predictive frameworks for understanding the consequences of vegetation change. The new framework we propose here combines landscape connectivity, through recharge and discharge dynamics, with global climate. In systems where annual precipitation and evapotranspiration are similar, the...
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These data are forecast barren land change under the PCM B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the GFDL A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the GFDL A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...


map background search result map search result map Twenty-year change in aspen dominance in pure aspen and mixed aspen/conifer stands on the Uncompahgre Plateau, Colorado, USA Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada). Potential for vegetation change on sensitive soils (consensus of 8 scenarios) for 2041 to 2050 in the Southern Rockies LCC, USA Forecast Barren Land Change Under PCM B1, 2030-2049 Forecast Barren Land Change Under PCM A2, 2080-2099 Forecast Barren Land Change Under GFDL B1, 2010-2029 Forecast Barren Land Change Under GFDL A2, 2080-2099 Forecast Barren Land Change Under GFDL A2, 2010-2029 Forecast Barren Land Change Under GFDL B1, 2080-2099 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2080-2099 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2010-2029 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2060-2079 Forecast Vegetation Type Under GFDL A2 Scenario Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona Twenty-year change in aspen dominance in pure aspen and mixed aspen/conifer stands on the Uncompahgre Plateau, Colorado, USA Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona Forecast Barren Land Change Under PCM B1, 2030-2049 Forecast Barren Land Change Under GFDL A2, 2010-2029 Forecast Barren Land Change Under PCM A2, 2080-2099 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2080-2099 Forecast Barren Land Change Under GFDL B1, 2010-2029 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2060-2079 Forecast Barren Land Change Under GFDL B1, 2080-2099 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2010-2029 Forecast Barren Land Change Under GFDL A2, 2080-2099 Forecast Vegetation Type Under GFDL A2 Scenario Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada). Potential for vegetation change on sensitive soils (consensus of 8 scenarios) for 2041 to 2050 in the Southern Rockies LCC, USA