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Bird density and marine mammal counts based on 3000 meter bins in southern California, 1999-2002
Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and 7.7-kilometer trackline segments (i.e., 3.0 kilometer and 7.7 kilometer bins). Therefore, marine bird densities (at 3-kilometer scale, for example) are based on a composite strip area ranging from 0.15 per kilometer squared (one observer on effort) to 0.30 per kilometer squared (two observers on effort). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect strip bin (i.e., weighted offset variable). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper Ornithological Society, Studies in Avian Biology Vol. 33. References- ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
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Bird density and marine mammal counts based on 3000 meter bins in southern California, 1999-2002
공공데이터포털
Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and 7.7-kilometer trackline segments (i.e., 3.0 kilometer and 7.7 kilometer bins). Therefore, marine bird densities (at 3-kilometer scale, for example) are based on a composite strip area ranging from 0.15 per kilometer squared (one observer on effort) to 0.30 per kilometer squared (two observers on effort). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect strip bin (i.e., weighted offset variable). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper Ornithological Society, Studies in Avian Biology Vol. 33. References- ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
Bird density and marine mammal counts based on 7700 meter bins in southern California, 1999-2002
공공데이터포털
Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and 7.7-kilometer trackline segments (i.e., 3.0 kilometer and 7.7 kilometer bins). Therefore, marine bird densities (at 3-kilometer scale, for example) are based on a composite strip area ranging from 0.15 per kilometer squared (one observer on effort) to 0.30 per kilometer squared (two observers on effort). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect strip bin (i.e., weighted offset variable). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper Ornithological Society, Studies in Avian Biology Vol. 33. References- ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
Bird density and marine mammal counts based on 7700 meter bins in southern California, 1999-2002
공공데이터포털
Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and 7.7-kilometer trackline segments (i.e., 3.0 kilometer and 7.7 kilometer bins). Therefore, marine bird densities (at 3-kilometer scale, for example) are based on a composite strip area ranging from 0.15 per kilometer squared (one observer on effort) to 0.30 per kilometer squared (two observers on effort). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect strip bin (i.e., weighted offset variable). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper Ornithological Society, Studies in Avian Biology Vol. 33. References- ESRI. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
At-sea distribution and abundance of seabirds and marine mammals off southern California GIS resource database: Aerial seabird and marine mammal surveys off southern California, 1999–2002
공공데이터포털
Background - Interest in developing alternative sources of renewable energy to reduce dependence on oil has increased in recent years. Some sources of renewable energy being considered will include power generation infrastructure and support activities located within continental shelf waters, and potentially within deeper waters off the U.S. Pacific coast and beyond state waters (i.e., outside three nautical miles). Currently, the Bureau of Ocean Energy Management (BOEM) is considering renewable energy proposals off the coast of Oregon, California, and Hawaii. From 1999–2002, the U.S. Geological Survey (USGS) and Humboldt State University (HSU) worked with BOEM (formely known as the Minerals Management Service, MMS) to conduct a multi-year study that quantified the at-sea distribution of seabirds and marine mammals. The aerial at-sea survey team flew over 55,000 kilometers and counted 485,000 seabirds (67 species) and 64,000 marine mammals (19 species). The study provided resource managers with updated information on distribution and abundance patterns and compared results with information from the late 1970s to early 1980s (Briggs et al. 1981, Briggs et al. 1987, see Mason et al. 2007). The California Department of Fish and Game (CDFG; now CA Department of Fish and Wildlife, CADFW) and U.S. Navy also provided significant matching funds. Oceanographic Context - USGS-HSU surveys began in May 1999, immediately following the strong 1997–1998 El Niño event. The 1999–2002 period featured a series of cold-water, La Niña events which led some researchers to postulate that the California Current System (CCS) had undergone a fundamental climate shift, on the scale of those documented in the 1920s, mid 1940s, and mid 1970s (Schwing et al. 2002). Generally, La Niña events have corresponded with stronger than normal upwelling in the CCS, and during this period, resulted in the greatest 4-yr mean upwelling index value on record (Schwing et al. 2002). La Niñas often follow El Niños, and seabird community composition (i.e., relative species-specific abundances) in any given year off southern California, is subject to variability caused by shifts in distribution among both warm- and cool-water affiliated species (Hyrenbach and Veit 2003). In contrast to the Mason et al. (2007) surveys, Briggs et al. (1987) conducted surveys during 1975–1983, coincident with another climate shift—from cold to warm conditions throughout the CCS (Mantua et al. 1997). Briggs et al. surveyed north of Point Conception during 1980–1983, after the transition to warmer water conditions occurred in the CCS. Acknowledgements - This project was funded by BOEM through an Interagency Agreement with the U.S. Geological Survey. The authors of these GIS data require that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Aerial survey fieldwork in 1999-2002 was conducted jointly by the U.S. Geological Survey (Western Ecological Research Center, California: Principal Investigators J.Y, Takekawa and D. Orthmeyer; Key Project Staff: J. Adams, J. Ackerman, W.M. Perry, J.J. Felis, and J.L. Lee) and Humboldt State University (Department of Wildlife, Arcata, California; Principal Investigators: R.T. Golightly and H.R. Carter; Project Leader: G. McChesney; Key Project Staff: J. Mason and W. McIver). Major project cooperators who actively participated in aerial at-sea surveys include the Minerals Management Service (M. Pierson, M. McCrary), California Department of Fish and Wildlife (P. Kelly), and the U.S. Navy (S. Schwartz, T. Keeney). For additional acknowledgments, see Mason et al. (2007). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper
At-sea distribution and abundance of seabirds and marine mammals off southern California GIS resource database: Aerial seabird and marine mammal surveys off southern California, 1999–2002
공공데이터포털
Background - Interest in developing alternative sources of renewable energy to reduce dependence on oil has increased in recent years. Some sources of renewable energy being considered will include power generation infrastructure and support activities located within continental shelf waters, and potentially within deeper waters off the U.S. Pacific coast and beyond state waters (i.e., outside three nautical miles). Currently, the Bureau of Ocean Energy Management (BOEM) is considering renewable energy proposals off the coast of Oregon, California, and Hawaii. From 1999–2002, the U.S. Geological Survey (USGS) and Humboldt State University (HSU) worked with BOEM (formely known as the Minerals Management Service, MMS) to conduct a multi-year study that quantified the at-sea distribution of seabirds and marine mammals. The aerial at-sea survey team flew over 55,000 kilometers and counted 485,000 seabirds (67 species) and 64,000 marine mammals (19 species). The study provided resource managers with updated information on distribution and abundance patterns and compared results with information from the late 1970s to early 1980s (Briggs et al. 1981, Briggs et al. 1987, see Mason et al. 2007). The California Department of Fish and Game (CDFG; now CA Department of Fish and Wildlife, CADFW) and U.S. Navy also provided significant matching funds. Oceanographic Context - USGS-HSU surveys began in May 1999, immediately following the strong 1997–1998 El Niño event. The 1999–2002 period featured a series of cold-water, La Niña events which led some researchers to postulate that the California Current System (CCS) had undergone a fundamental climate shift, on the scale of those documented in the 1920s, mid 1940s, and mid 1970s (Schwing et al. 2002). Generally, La Niña events have corresponded with stronger than normal upwelling in the CCS, and during this period, resulted in the greatest 4-yr mean upwelling index value on record (Schwing et al. 2002). La Niñas often follow El Niños, and seabird community composition (i.e., relative species-specific abundances) in any given year off southern California, is subject to variability caused by shifts in distribution among both warm- and cool-water affiliated species (Hyrenbach and Veit 2003). In contrast to the Mason et al. (2007) surveys, Briggs et al. (1987) conducted surveys during 1975–1983, coincident with another climate shift—from cold to warm conditions throughout the CCS (Mantua et al. 1997). Briggs et al. surveyed north of Point Conception during 1980–1983, after the transition to warmer water conditions occurred in the CCS. Acknowledgements - This project was funded by BOEM through an Interagency Agreement with the U.S. Geological Survey. The authors of these GIS data require that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Aerial survey fieldwork in 1999-2002 was conducted jointly by the U.S. Geological Survey (Western Ecological Research Center, California: Principal Investigators J.Y, Takekawa and D. Orthmeyer; Key Project Staff: J. Adams, J. Ackerman, W.M. Perry, J.J. Felis, and J.L. Lee) and Humboldt State University (Department of Wildlife, Arcata, California; Principal Investigators: R.T. Golightly and H.R. Carter; Project Leader: G. McChesney; Key Project Staff: J. Mason and W. McIver). Major project cooperators who actively participated in aerial at-sea surveys include the Minerals Management Service (M. Pierson, M. McCrary), California Department of Fish and Wildlife (P. Kelly), and the U.S. Navy (S. Schwartz, T. Keeney). For additional acknowledgments, see Mason et al. (2007). These data are associated with the following publication: Mason, J.W., McChesney, G.J., McIver, W.R., Carter, H.R., Takekawa, J.Y., Golightly, R.T., Ackerman, J.T., Orthmeyer, D.L., Perry, W.M., Yee, J.L. and Pierson, M.O. 2007. At-sea distribution and abundance of seabirds off southern California: a 20-Year comparison. Cooper
Five-minute grid of marine bird density off central California - Davidson Current seasons, 1980-2001 (CDAS data set Da0 dens.shp)
공공데이터포털
Da0_dens is a polygon shapefile representing 5 minute x 5 minute latitude x longitude cells that contain the overall, combined densities (birds/sq km), of 76 species of marine birds in the CDAS central CA data set, for the Davidson Current Season (Nov15-Mar14). The number of marine birds seen in a cell was divided by the area sampled in the cell to estimate density. If a cell was censused more than once, densities were averaged. Cells that were surveyed but in which no birds were observed have densities of zero.
Five-minute grid of marine bird density data off central California, 1980-2001 (CDAS data set five-min-grid)
공공데이터포털
A shapefile of five minute grids with summary information on at-sea bird surveys from 1980-2001. Bird densities by ocean season, by species.
USGS BOEM PaCSEA Seabird Density, 2011-2012, in 6.8-km bins
공공데이터포털
To ensure comparable spatial and temporal coverage with similar historic datasets, we flew 32 east-west-oriented uniform transects (spaced at 15' latitude [27.8-km] intervals) when possible to the 2000-m isobath (includes shelf, slope, and rise waters). At the request of BOEM, we included six focal-area surveys nested within the overall broad transect survey area. Each focal-area survey consisted of ten 25-km, parallel transect lines targeting shelf waters and spaced at 6-km intervals. This pattern (broad survey lines and Focal Area survey lines) was surveyed during each oceanographic season: summer (June-July), fall (September-October), and winter (January-February) during 2011 and 2012. Aerial survey methods follow Mason et al. (2007) with slight modifications. Specifically, we recorded all sightings of marine animals, vessels, and floating objects from twin-engine, high wing aircraft (Partenavia P-68, Aspen Helicopters, Oxnard, CA, or Commander AC-500, GoldAero, Arlington, WA) along pre-determined 150-m (75 m per side) strip transects at 60-m above sea level. Surveys were flown at 160 km/h, and we used a Global Positioning System (GPS) unit linked to a laptop computer that allowed us to simultaneously collect coordinates (WGS-84 map datum), sea surface temperature (SST, degrees Celcius [°C]) determined via a belly-mounted pyrometer, and ocean color data via an onboard radiometer (see Remote sensing methods). We maintained the same two trained observers throughout the study. During individual surveys, observers frequently verified strip widths using hand-held clinometers. Observations generally were discontinued when glare exceeded >25% of the field-of-view or if sea state exceeded Beaufort 5 (29-38 km/h wind speed). Observations were recorded into hand-held digital audio recorders. The third (non-dedicated) observer assisted the pilot with navigation, monitored sensor data, and maintained the onboard computer. Observations of species or individuals identified to nearest taxon included number of individuals, time, pre-coded behaviors, flight direction, and interspecies or vessel associations. Digital recordings of observations were archived and used by observers after surveys to enter data into a customized Graphical User Interface in ACCESS (Microsoft). Observation data were proofed after transcription to ensure accuracy or to resolve inconsistencies. Species observations were linked with GPS-based tracklines generated at 1 to 3 second intervals. Based on variations in the lag-time between sightings and recordings, we estimate that observations have a nominal along-trackline spatial accuracy of 222 m, based on a five-second lag at 160 km/hr survey speed.Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in WGS-84 map datum and projected to a USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap. We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous tracklines. We calculated density estimates along continuous 6.8-km (~ 5 min longitude) trackline segments (i.e., 6.8-km bins). Therefore, marine bird densities are based on a composite strip area ranging from 0.225 square km (one observer; 50-m strip width) to 0.450 square km (two observers; 150-m total strip width). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect (i.e., weighted offset variable). An interval of 6.8 km (approximating 5 minutes of longitude in our study area) was chosen to calculate densities in order to be comparable to historical aerial seabird survey data that were summarized in arbitrary 5 min X 5 min grid cells.This file
USGS BOEM PaCSEA Seabird Density, 2011-2012, in 6.8-km bins
공공데이터포털
To ensure comparable spatial and temporal coverage with similar historic datasets, we flew 32 east-west-oriented uniform transects (spaced at 15' latitude [27.8-km] intervals) when possible to the 2000-m isobath (includes shelf, slope, and rise waters). At the request of BOEM, we included six focal-area surveys nested within the overall broad transect survey area. Each focal-area survey consisted of ten 25-km, parallel transect lines targeting shelf waters and spaced at 6-km intervals. This pattern (broad survey lines and Focal Area survey lines) was surveyed during each oceanographic season: summer (June-July), fall (September-October), and winter (January-February) during 2011 and 2012. Aerial survey methods follow Mason et al. (2007) with slight modifications. Specifically, we recorded all sightings of marine animals, vessels, and floating objects from twin-engine, high wing aircraft (Partenavia P-68, Aspen Helicopters, Oxnard, CA, or Commander AC-500, GoldAero, Arlington, WA) along pre-determined 150-m (75 m per side) strip transects at 60-m above sea level. Surveys were flown at 160 km/h, and we used a Global Positioning System (GPS) unit linked to a laptop computer that allowed us to simultaneously collect coordinates (WGS-84 map datum), sea surface temperature (SST, degrees Celcius [°C]) determined via a belly-mounted pyrometer, and ocean color data via an onboard radiometer (see Remote sensing methods). We maintained the same two trained observers throughout the study. During individual surveys, observers frequently verified strip widths using hand-held clinometers. Observations generally were discontinued when glare exceeded >25% of the field-of-view or if sea state exceeded Beaufort 5 (29-38 km/h wind speed). Observations were recorded into hand-held digital audio recorders. The third (non-dedicated) observer assisted the pilot with navigation, monitored sensor data, and maintained the onboard computer. Observations of species or individuals identified to nearest taxon included number of individuals, time, pre-coded behaviors, flight direction, and interspecies or vessel associations. Digital recordings of observations were archived and used by observers after surveys to enter data into a customized Graphical User Interface in ACCESS (Microsoft). Observation data were proofed after transcription to ensure accuracy or to resolve inconsistencies. Species observations were linked with GPS-based tracklines generated at 1 to 3 second intervals. Based on variations in the lag-time between sightings and recordings, we estimate that observations have a nominal along-trackline spatial accuracy of 222 m, based on a five-second lag at 160 km/hr survey speed.Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in WGS-84 map datum and projected to a USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap. We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous tracklines. We calculated density estimates along continuous 6.8-km (~ 5 min longitude) trackline segments (i.e., 6.8-km bins). Therefore, marine bird densities are based on a composite strip area ranging from 0.225 square km (one observer; 50-m strip width) to 0.450 square km (two observers; 150-m total strip width). We made no effort to adjust densities such that they would be proportional to variations in the area of buffered transect (i.e., weighted offset variable). An interval of 6.8 km (approximating 5 minutes of longitude in our study area) was chosen to calculate densities in order to be comparable to historical aerial seabird survey data that were summarized in arbitrary 5 min X 5 min grid cells.This file
Five-minute grid of marine bird density off central California - all seasons, 1980-2001 (CDAS data set AL0 DENS.shp)
공공데이터포털
AL0_DENS is a polygon shapefile representing 5 minute x 5 minute latitude x longitude cells that contain the overall, combined densities (birds/sq.km.), of 76 species of marine birds in the CDAS central CA data set, regardless of season and/or oceanic conditions. The number of marine birds seen in a cell was divided by the area sampled in the cell to estimate density. If a cell was censused more than once, densities were averaged. Cells that were surveyed but in which no birds were observed have densities of zero.