Please note: This will export a zipped shapefile containing sketched area analysis polygons. If one area analysis polygon is selected only that polygon will be exported; otherwise all polygons are exported.
Please note: DisMAP provides access to processed fisheries-independent survey data. During data processing for the purposes of display and interpretation in DisMAP, decisions are made to remove certain years or strata from the data in some regions to maintain a consistent footprint through time for the distribution analysis. Users are encouraged to read the Technical Report and metadata for a more detailed description of the data processing steps and links to the original sources of the survey data. Any discrepancies in the survey information reported in DisMAP should be resolved in favor of official records maintained by each region.
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To help meet the growing demand and need for information on species distributions, the NOAA Fisheries Office of Science & Technology developed DisMAP, as a visualization, analysis, data-sharing and discovery tool to provide easy access to information on changes in marine species distribution through time. For more information on how the data was collected, processed, and analyzed for use in this portal please see the Technical Document and metadata, and our github repository on the NOAA Fisheries Integrated Toolbox. This first release focuses on fisheries-independent bottom trawl survey data in the US, but future iterations of the portal will seek to include additional survey data and model outputs.
Use the icons on the left side panel to navigate between modules, or click ‘Go’ next to the modules name below. Currently, two modules are available, the Single Species Analysis, and Regional Summary modules.
Explore visual and numerical representation of several key metrics that define the range and distribution of individual species over time.
GoExplore how communities have changed over time at the regional Level (e.g. species richness and average changes in latitude)
GoThe data provided in this portal was processed with the help of the Ocean Adapt team in the Pinsky Lab at Rutgers University.
The information provided by DisMAP is intended for information purposes only. The DisMAP managers and developers are not liable for errors in the data. While every effort has been made to ensure the quality of the contributed data, DisMAP cannot guarantee the accuracy of the products and is not responsible for any adverse result based on use of the information or data presented.
NOAA Fisheries. . DisMAP data records. Retrieved from . Accessed .
The predicted biomass density distribution based on fishery-independent survey data. The distribution surface is created by applying the inverse distance weighting (IDW) interpolation algorithm to the observations in the survey for each species, regions, and season combination. The grid size is 500m x 500m for Hawaii Islands and 2km x 2 km in other regions. The IDW approach smooths over multiple observations to interpolate the biomass across areas where the survey did not sample. For more detailed information on the methodology and data sources see the DisMAP Technical Document. and metadata
Explore key distribution metrics that define a species range and distribution and how those change through time. For more information on how the below metrics and interpolated biomass layers were calculated see the Technical Document and metadata.
This shows both the change in the geographic center (red line), and the range limits (min and max latitudes; blue band)) of the species distribution. The geographic center of the total weight of the entire population, also known as its center of gravity, is calculated as the biomass-weighted average latitude, weighted by the interpolated biomass at each latitude within the survey domain for each year of the survey.
The min latitude (southern range limit) is the latitude where 95% of the species distribution/biomass are north of this value, and the max latitude (northern range limit) is the latitude where 95% of the species biomass is south of this latitude.
species.common.name has moved Xkm north/south from XXXX-XXXX to YYYY-YYYY.
species.common.name has moved Xkm deeper/shallower from XXXX-XXXX to YYYY-YYYY.
Analyze the area overlap between the selected species interpolated biomass and an area of interest, by either using the draw tool to draw a custom area, or selecting from a list of predefined geographic boundaries below.
Use the draw tools appearing in the upper left of the map to draw an area of interest to analyze.
Percent of Area of Interest Occupied by the species
The amount of the area of interest occupied by species.common.name has INCREASED/DECREASED by X km (Y%) since the start of the survey time series YYYY-YYYY compared to most recent time period XXXX-XXXX.
Proportion of the species total biomass found in the area of interest
The amount of the species.common.name’s distribution occupied by the area of interest has INCREASED/DECREASED by X km (Y%) since the start of the survey time series YYYY-YYYY compared to most recent time period XXXX-XXXX.
Use this module to explore the aggregate change in location of marine species caught in a survey at a regional level. As species distributions respond to many environmental and biological factors, looking at changes at the community level, aggregating across all species or across species groups, allows for a more complete picture of the general trends in marine species distributions in a region.
Species diversity maps highlight areas of low and high biodiversity as expected in the survey. These maps are calculated using the Shannon index which considers both abundance and evenness of a species in an area. The Shannon index (H’) is calculated for each raster grid cell by stacking up the individual species interpolated biomass layers with the following equation:
where pi is the proportion of total individuals belonging to the ith species and R is richness, equal to the total number of species in the dataset.
The graphs below show the annual change in the latitude and depth averaged across species that are caught every year in the selected survey dataset
Change in Average LatitudeThe annual change in latitude averaged across a core set of species caught every year in the survey. This indicator is calculated by first calculating the difference between each year's average latitude and that of the starting year for each species, and then averaging the differences across species in a region.
On average species in region have moved Xkm north/south from XXXX-XXXX to YYYY-YYYY.
The annual change in depth averaged across a core set of species caught every year in the survey. This indicator is calculated by first calculating the difference between each year's average depth and that of the starting year for each species, and then averaging the differences across species in a region.
On average species in region have moved Xkm deeper/shallower from XXXX-XXXX to YYYY-YYYY.
The table below summarizes the change in latitude, and depth for all species included in the regional average calculations above.
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