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.
This polygon is too complex to analyze. Please choose a simpler polygon
This is a pilot version of the Species Persistence module. Results are preliminary and shouldnât be used in analyses yet. Feedback is encouraged and can always be given by filling out the feedback form in the bottom right or by emailing
Have questions? feedback? Please contact us at
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.
Use the icons on the left to navigate between modules, or click âGoâ under the modules name below. Currently, three modules are available: the Species Persistence module, the Single Species Shift module and the Regional Shift Summary module.
Explore species occurrence data from regional fishery-independent surveys to help understand species persistence, gains, and losses within a region
Go
Explore the modeled distribution of a particular species and several key metrics that define how an individual species distribution is shifting over time.
Go
Explore the aggregate change in distribution of multiple species in a particular region and several key metrics that define how communities are changing over time.
GoDisMAP is a data product that compiles and analyzes regional fishery-independent survey data collected by NOAAâs six regional science centers and SEAMAP. This effort grew out of and builds off of the OceanAdapt website, a successful collaboration between the Rutgers University (Pinsky Lab) and NOAA Fisheries.
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.
When using data from DisMAP, please cite this project using the DisMAP citation below in addition to the appropriate original survey data linked in the âCreditsâ section above.
NOAA Fisheries. . DisMAP data records. Retrieved from . Accessed .
The following modules and analyses provide users mechanisms to explore the historical changes in species range and distribution through time to the present. See below for descriptions of the modules. Then, use the icons on the left pane to navigate to each module and start MAP-ing!
Users can see which taxa appear in regional surveys, and how the amount of each taxa caught (biomass in wtcpue) is changing across survey years. This analysis can provide current and historical context to the range of a specific species or stock, illustrating their long-term distribution patterns. Understanding species gains and losses in a region can also provide early warnings of potential emerging species in a region and of changes in community assemblages. For this module, data is harnessed from regional surveys* and filtered to include taxa that are sampled in at least 5% of tows in at least two survey years**.
Users can visualize the interpolated biomass distribution of a single species and how it changes over time. Shifts in the distributions are measured as change in latitude and change in depth. Capturing these shifts of particular stocks can have significant impacts on management decisions, particularly in a changing environment. For this module, data is harnessed from regional surveys* and filtered to include taxa that are sampled in at least 5% of tows in at least 3/4th of all survey years**.
Users can explore several key metrics of how communities are changing over time and space (e.g., species richness, average change in latitude and depth). As species distributions respond to many environmental and biological factors, tracking changes at the community level allows for a more complete picture of the general trends in marine species distributions in a region. For this module, data is harnessed from regional surveys* and filtered to include taxa that are sampled in at least 5% of tows in all survey years**.
*See links to regional datasets in the âInfoâ window located in the upper left corner of the portal.
**See the Technical Document, metadata, and our github repository for more information on how survey data are processed for this portal.
Select a dataset (i.e., species, region and model type) from the dropdowns below to explore changes in distribution for a particular species. The spatially interpolated biomass distribution and the survey locations that inform that distribution will display on the map. Time-series graphs of the key distribution indicators (e.g. change in latitude, depth) and overlap between species and an area of interest can be found in the âDistribution metricsâ and âArea Overlap Analysisâ tabs below.
Gulf of Mexico to Gulf of America name change
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.nameâs 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 (i.e. latitude and depth) of marine species caught in a survey at a regional level, by selecting a regional dataset below. Interpolated (predicted) species richness layers will be displayed on the map, representing the predicted number of species to be caught in a survey at each grid location. Time-series graphs of the key distribution indicators (e.g. change in latitude, depth) will display in the panel below.
Gulf of Mexico to Gulf of America name change
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.
Use this module to explore species occurrence data from regional fishery-independent surveys by selecting from the dropdowns below. When a species is selected in the Persistence Trends section below, the map will display the total biomass (wtcpue) at each survey point for the selected species, depicted by the size of the bubble at that survey location.
Gulf of Mexico to Gulf of America name change
| ⊠ : Disappeared | ↘ : Potentially Disappearing |
| ↝ : Sporadic - Primarily Present | ↜ : Sporadic - Primarily Absent |
| ↗ : Potentially Emerging | ✼ : Emerged |
| ⮆ : Persistently Present | * : Trend is under review |
| No Data | Absent | Rare | Less Common |
| Common | Abundant | Highly Abundant |
The graphs below show the survey biomass (binned by percentile) each year and the persistence trend across species that are caught in the selected dataset. Data originated from the {Insert survey data link here} and was processed (See Technical Memo for processing details) to yield {insert number of core species here} species for use in this analysis.
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