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For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
This layer indicates overall deer hunting successes for 2010 measured in counted deer kills. Census data are obtained and mapped based on hunting management units defined by State Departments of Fish & Wildlife. Data were transformed to a standardized scale based on their maximum values. Hence, all values range between 0 and 1.
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through...
We mapped the tabular park visitation data for 2010 on state and national parks, derived from the PAD-US protected area database (v. 1.2). Subsequently spatial data were aggregated on county level since most of the state parks do not match the working resolution and hence would not have been visible for the analyses. We used this dataset as proxy for the provision of space for recreation and cultural experiences. Data were transformed to a standardized scale based on their maximum values. Hence, all values range between 0 and 1.
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used climate data from the PRISM group (Chris Daly, Oregon State University) at a 30arc second (800m) spatial grain across the western 2/3 of the states of Oregon and Washington to generate a climatology or baseline. He then created future climate change scenarios using statistical downscaling to create anomalies from three General Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each run through three CO2 emission scenarios (SRES B1, A1B, and A2).
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased.
The purpose of this project is to use existing climate change datasets from the Climate Impacts Group (CIG) to summarize the the projected climate change impacts to United States Forest Service (USFS) lands in Oregon and Washington (Figure 1). Stakeholders in the Forest Service of this region were particularly interested in the variables that are likely to impact freshwater aquatic species, including projected changes in water availability, snowpack, and flood and low flow severities. Our objective is to summarize climate and hydrologic projections for USFS lands in Oregon and Washington. Since individual national forests may contain numerous distinct ecological regimes and cross hydrologic boundaries, averaging...
The salmon abundance data are based on observed (1998 - 2005) and modeled data at the watershed level (Pinsky et al., 2009). Watershed based data were normalized and then converted into gridded data. Data were transformed to a standardized scale based on their maximum values. Hence, all values range between 0 and 1.
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through statistical...
This spatial data set was created by the U.S. Geological Survey (USGS) to represent the extent of arid land irrigation in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) during 2001.
This spatial data set was created by the U.S. Geological Survey (USGS) to represent the amount of nitrogen and phosphorus generated by cattle at dairies and feedlots in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) during 2002.
This spatial data set was created by the U.S. Geological Survey (USGS) to represent the amount of total nitrogen and total phosphorus discharged to surface waters in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) during 2002 from individual permitted wastewater facilities.
This spatial data set was created by the U.S. Geological Survey (USGS) to represent mean annual solar radiation in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) for the period between 1991 and 2005.
A warming climate could profoundly affect the distribution and abundance of many fishes. Bull trout (Salvelinus confluentus) may be especially vulnerable to climate change given that spawning and early rearing are constrained by cold water temperatures creating a patchwork of natal headwater habitats across river networks. Because the size and connectivity of patches also appear to influence the persistence of local populations, climate warming could lead to increasing fragmentation of remaining habitats and accelerated decline of this species. We modeled the relationships between (1) the lower elevation limits of small bull trout and mean annual air temperature and (2) latitude and longitude across the species'...
A warming climate could profoundly affect the distribution and abundance of many fishes. Bull trout (Salvelinus confluentus) may be especially vulnerable to climate change given that spawning and early rearing are constrained by cold water temperatures creating a patchwork of natal headwater habitats across river networks. Because the size and connectivity of patches also appear to influence the persistence of local populations, climate warming could lead to increasing fragmentation of remaining habitats and accelerated decline of this species. We modeled the relationships between (1) the lower elevation limits of small bull trout and mean annual air temperature and (2) latitude and longitude across the species...
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