The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Timeseries data from 'ABERCORN CREEK AT MOUTH NEAR SAVANNAH, GA (USGS 02198820)' (gov_usgs_nwis_02198820)

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

Quantitative waterbird surveys over seasonal wetlands of the Alligator Rivers Region (ARR) of the NT, provided by the Supervising Scientist Division (SSD) of the Commonwealth Department of the Environment, Water, Heritage and the Arts (DEWHA). Ground and aerial surveys at 17 billabongs within the Magela Creek catchment. Environmental information includes structural classification of each billabong surveyed

Timeseries data from 'FROG CREEK NEAR RUBONIA FL (USGS 02300082)' (gov_usgs_nwis_02300082)

Compared nekton densities among 5 natural and 10 created salt marsh sites to test whether these marsh types were functionally equivalent. Created marshes ranged from 3-yrs to 15-yrs old. Natural and created marshes did not differ in species richness. Marsh elevation and tidal flooding are a key characteristic affecting use by nekton and should be considered in marsh construction projects.

Timeseries data from 'TROUT CREEK AT MOUTH NEAR KEY LARGO, FL (USGS 251253080320100)' (gov_usgs_nwis_251253080320100)

Quantitative waterbird surveys over seasonal wetlands of the Alligator Rivers Region (ARR) of the NT, provided by the Supervising Scientist Division (SSD) of the Commonwealth Department of the Environment, Water, Heritage and the Arts (DEWHA). Systematic aerial survey, conducted monthly from June 1981 to August 1984. Environmental information on dominant cover types is also included (Wet Plain, Dry Plain, Wet Melaleuca, Dry Melaleuca, Open Water, Dry Woodland, Mud).

The American alligator (Alligator mississippiensis) is a species of ecological and economic importance in the southeastern United States. Within South Carolina, alligators are subject to private and public harvest programs, as well as nuisance removal. These management activities can have different impacts across alligator size classes that may not be apparent through widely-used monitoring techniques such as nightlight surveys. We synthesized multiple datasets within an integrated population model (IPM) to estimate size class-specific survival and abundance estimates, that would not be estimable through separate, non-integrated modeling frameworks. The IPM framework included a multistate mark-recapture-recovery model that used mark-recapture-recovery data from the Tom Yawkey Wildlife Center and growth transition probabilities that were estimated outside of the IPM framework. The IPM also included a state-space count model, which used nightlight survey counts of alligtaors from two survey routes: 1) Great Pee Dee and Waccamaw Rivers; and 2) South Santee Rivers. The IPM modeling framework also used mean clutch size data from the Tom Yawkey Wildlife Center and public and private harvest data within the state model. Lastly, we evaluated the effects of capture effort on capture probability, as well as the effects of water temperature and relative water level on count detection probability, and provide all covariate datasets. Our IPM framework determined that size class-specific survival rates were relatively high for all non-hatchling size classes, and abundance trends differed between the two nightlight survey sites.

The American alligator (Alligator mississippiensis) is a species of ecological and economic importance in the southeastern United States. Within South Carolina, alligators are subject to private and public harvest programs, as well as nuisance removal. These management activities can have different impacts across alligator size classes that may not be apparent through widely-used monitoring techniques such as nightlight surveys. We synthesized multiple datasets within an integrated population model (IPM) to estimate size class-specific survival and abundance estimates, that would not be estimable through separate, non-integrated modeling frameworks. The IPM framework included a multistate mark-recapture-recovery model that used mark-recapture-recovery data from the Tom Yawkey Wildlife Center and growth transition probabilities that were estimated outside of the IPM framework. The IPM also included a state-space count model, which used nightlight survey counts of alligtaors from two survey routes: 1) Great Pee Dee and Waccamaw Rivers; and 2) South Santee Rivers. The IPM modeling framework also used mean clutch size data from the Tom Yawkey Wildlife Center and public and private harvest data within the state model. Lastly, we evaluated the effects of capture effort on capture probability, as well as the effects of water temperature and relative water level on count detection probability, and provide all covariate datasets. Our IPM framework determined that size class-specific survival rates were relatively high for all non-hatchling size classes, and abundance trends differed between the two nightlight survey sites.