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Data were collected by the River Studies Program, Texas Parks and Wildlife Department. River Studies is an interdisciplinary river and stream assessment program. Its primary goal is to assure sufficient quantity and quality of water to maintain the natural biodiversity of aquatic ecosystems and their associated wetlands and riparian lands. The program staff works to characterize aquatic ecosystems, evaluate impacts to those systems, and determine water quantity and quality needs to address policy and regulatory issues. Results from long-term projects provide data from large geographic areas to address broad-scale policy and regulatory issues. Aquatic biological samples (fish, mussels, and benthic macroinvertebrates)...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic...
The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic...
This dataset portrays the viability score (scale of 0 - 1.0) for Whitebark pine (Pinus albicaulis) in western North America in 2030, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
This dataset portrays the viability score (scale of 0 - 1.0) for Sitka spruce (Picea sitchensis) in western North America in 2090, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
This dataset portrays the viability score (scale of 0 - 1.0) for Gambel oak (Quercus gambelii) in western North America in 2030, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
This dataset portrays the viability score (scale of 0 - 1.0) for Engelmann spruce (Picea engelmannii) in western North America in 2090, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
This dataset portrays the viability score (scale of 0 - 1.0) for Willow (Salix sp.) in western North America in 2090, using the Met Office Hadley Centre (UK) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification tree of Breiman (2001), implemented...
This dataset portrays the viability score (scale of 0 - 1.0) for White fir (Abies concolor) in western North America in 2090, using the Met Office Hadley Centre (UK) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification tree of Breiman (2001), implemented...
This dataset portrays the viability score (scale of 0 - 1.0) for Western white pine (Pinus monticola) in western North America in 2060, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species....
This dataset portrays the viability score (scale of 0 - 1.0) for Noble fir (Abies procera) in western North America in 2060, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The...
This dataset portrays the viability score (scale of 0 - 1.0) for Alaska cedar (Chamaecyparis nootkatensis) in western North America in 2060, using the Geophysical Fluid Dynamics Laboratory - Princeton University, NOAA Research (GFDLCM21) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous...
This dataset portrays the viability score (scale of 0 - 1.0) for Subalpine fir (Abies lasiocarpa) in western North America in 2090, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification...
This dataset portrays the viability score (scale of 0 - 1.0) for Western redcedar (Thuja plicata) in western North America in 2090, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification...
This dataset portrays the viability score (scale of 0 - 1.0) for Noble fir (Abies procera) in western North America in 2030, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification...
This dataset portrays the viability score (scale of 0 - 1.0) for Gambel oak (Quercus gambelii) in western North America in 2090, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification...
This dataset portrays the viability score (scale of 0 - 1.0) for California black oak (Quercus kelloggii) in western North America in 2060, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests...
This dataset portrays the viability score (scale of 0 - 1.0) for Blue spruce (Picea pungens) in western North America in 2060, using the Canadian Center of Climate Modeling and Analysis (CGCM3) general circulation model (GCM) and A2 emission scenario (high emissions, regionally diverse world, rapid growth) to model future climate. (From Crookston et al. 2010): To develop the climate profile, we used a data from permanent sample plots largely from Forest Inventory and Analysis (FIA, Bechtold and Patterson, 2005) but supplemented with research plot data to provide about 117,000 observations (see Rehfeldt et al., 2006, 2009) describing the presence and absence of numerous species. The Random Forests classification...
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