Location data with corresponding habitat class (managed vs tidal marsh) and habitat type (permanent pond, seasonal pond, channel, or marshland) for waterfowl utilizing the Suisun Marsh region of California with species, sex, season and date information

We used Point Blue Conservation Science's dynamic open-water dataset of water distribution and our telemetry data for duck locations to develop frequently updated habitat maps for the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. Telemetry data additionally was used to compare performance of each of three series of habitat maps produced. To create this tabular dataset, we intersected telemetry locations for ducks (vector point data) with habitat maps (raster mosaics) in a Geographic Information System (GIS) and attributed duck locations with map pixel values representing habitat, non-habitat, or unclassified (if data were missing). To develop maps of waterfowl habitat, we used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue Conservation Science derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a duck location by species (column 1) bound to the spatial extent of the Central Valley and Suisun Marsh for October-March of 2014-15 through 2017-18. Columns 2 - 4 represent attributes assigned to duck locations by each of the three maps that were developed and assessed for accuracy. We used the data set to summarize and compare the proportion of duck locations in habitat for the three maps. We further summarized proportions in habitat by duck species (Mallard versus Northern Pintail) and biological activity (for example, feeding and roosting versus molting).

We used Point Blue Conservation Science's dynamic open-water dataset of water distribution and our telemetry data for duck locations to develop frequently updated habitat maps for the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. Telemetry data additionally was used to compare performance of each of three series of habitat maps produced. To create this tabular dataset, we intersected telemetry locations for ducks (vector point data) with habitat maps (raster mosaics) in a Geographic Information System (GIS) and attributed duck locations with map pixel values representing habitat, non-habitat, or unclassified (if data were missing). To develop maps of waterfowl habitat, we used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue Conservation Science derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a duck location by species (column 1) bound to the spatial extent of the Central Valley and Suisun Marsh for October-March of 2014-15 through 2017-18. Columns 2 - 4 represent attributes assigned to duck locations by each of the three maps that were developed and assessed for accuracy. We used the data set to summarize and compare the proportion of duck locations in habitat for the three maps. We further summarized proportions in habitat by duck species (Mallard versus Northern Pintail) and biological activity (for example, feeding and roosting versus molting).

Tabular data that represent the proportion of area classified as waterfowl habitat for each of three series of habitat maps were developed based on water distributed across the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. We used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a mosaic within a specific range of dates of imagery that together bound the Central Valley and Suisun Marsh spatial extent. In a geographic information system (GIS), we used each mosaic to calculate the proportion of potential waterfowl habitat for each range of dates (yyyymmdd to yyyymmdd format) indicated in column one. The proportion was calculated for each of three maps, indicated in column 2-4 headings, that we developed using the open water data. As one measure to compare performance of the three maps, we summarized the mean and range of the proportion of area that was classified as habitat across all mosaics used; generally, the less area classified as habitat, while also accounting for actual locations of waterfowl (for example with telemetry data) the better.

Tabular data that represent the proportion of area classified as waterfowl habitat for each of three series of habitat maps were developed based on water distributed across the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. We used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a mosaic within a specific range of dates of imagery that together bound the Central Valley and Suisun Marsh spatial extent. In a geographic information system (GIS), we used each mosaic to calculate the proportion of potential waterfowl habitat for each range of dates (yyyymmdd to yyyymmdd format) indicated in column one. The proportion was calculated for each of three maps, indicated in column 2-4 headings, that we developed using the open water data. As one measure to compare performance of the three maps, we summarized the mean and range of the proportion of area that was classified as habitat across all mosaics used; generally, the less area classified as habitat, while also accounting for actual locations of waterfowl (for example with telemetry data) the better.

This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification, but is related through a cross-walking table to other standard classifications in use locally or statewide.

This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification, but is related through a cross-walking table to other standard classifications in use locally or statewide ( http://www.nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24570 ).

This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification, but is related through a cross-walking table to other standard classifications in use locally or statewide ( http://www.nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24570 ).

These datasets provide information on soil properties, plant species cover, and soil surface elevation in a tidal wetland and a managed impounded wetland in northern Suisun Marsh, California, USA.

These datasets provide information on soil properties, plant species cover, and soil surface elevation in a tidal wetland and a managed impounded wetland in northern Suisun Marsh, California, USA.