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Computer Simulation Modeling of Intermediate Trophic Levels for ATLSS of the Everglades/Big Cypress Region

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Frequently-anticipated questions:


What does this data set describe?

Title:
Computer Simulation Modeling of Intermediate Trophic Levels for ATLSS of the Everglades/Big Cypress Region
Abstract:
This project includes models for primary food bases; the functional group of small fishes, upon which many of the wading birds depend, and the main reptile and amphibian functional groups, which constitute much of the diet of the American alligator. In addition, population models for several important species have been developed. These include a model for the snail kite population of Florida, models for the key wading bird species, and a model of the American crocodile population, all focusing on the effects of hydrology
  1. How should this data set be cited?

    Gaines, Michael S. , Unknown, Computer Simulation Modeling of Intermediate Trophic Levels for ATLSS of the Everglades/Big Cypress Region.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -81.397755
    East_Bounding_Coordinate: -80.277306
    North_Bounding_Coordinate: 26.264269
    South_Bounding_Coordinate: 24.686419
    Description_of_Geographic_Extent: Intermediate trophic levels for Everglades/Big Cypress area

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: 01-Feb-2002
    Ending_Date: 31-Dec-2007
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: model

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      Indirect_Spatial_Reference: Everglades and Big Cypress region

    2. What coordinate system is used to represent geographic features?

  7. How does the data set describe geographic features?

  8. What biological taxa does this data set concern?

    Taxonomy:
    Keywords/Taxon:
    Taxonomic_Keyword_Thesaurus: none
    Taxonomic_Keywords: animals
    Taxonomic_Keywords: multiple species
    Taxonomic_Keywords: vertebrates
    Taxonomic_System:
    Classification_System/Authority:
    Classification_System_Citation:
    Citation_Information:
    Originator:
    U.S. Department of Agriculture - Agricultural Research Service (ARS)

    U.S. Department of Agriculture - Natural Resources Conservation Service (NRCS) Department of the Interior - U.S. Geological Survey Department of Commerce - National Oceanic and Atmospheric Administration (NOAA) Environmental Protection Agency (EPA) Smithsonian Institution - National Museum of Natural History (NMNH)

    Publication_Date: 2000
    Title: Integrated Taxonomic Information System (ITIS)
    Geospatial_Data_Presentation_Form: Database
    Other_Citation_Details:
    Retrieved from the Integrated Taxonomic Information System on-line database, <http://www.itis.gov>.
    Online_Linkage: <http://www.itis.gov>
    Taxonomic_Procedures: unknown
    Taxonomic_Completeness: unknown
    General_Taxonomic_Coverage:
    Specimens were identified to the species or subspecies level as appropriate
    Taxonomic_Classification:
    Taxon_Rank_Name: Kingdom
    Taxon_Rank_Value: Animal
    Taxonomic_Classification:
    Taxon_Rank_Name: Phylum
    Taxon_Rank_Value: Chordata
    Applicable_Common_Name: chordates
    Taxonomic_Classification:
    Taxon_Rank_Name: Subphylum
    Taxon_Rank_Value: Vertebrata
    Applicable_Common_Name: vertebrates
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Mammalia
    Applicable_Common_Name: mammals
    Taxonomic_Classification:
    Taxon_Rank_Name: Subclass
    Taxon_Rank_Value: Theria
    Taxonomic_Classification:
    Taxon_Rank_Name: Infraclass
    Taxon_Rank_Value: Eutheria
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Rodentia
    Applicable_Common_Name: rodents
    Taxonomic_Classification:
    Taxon_Rank_Name: Infraorder
    Taxon_Rank_Value: Myomorpha
    Applicable_Common_Name: mice
    Applicable_Common_Name: rats
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Muridae
    Applicable_Common_Name: mice
    Applicable_Common_Name: rats
    Applicable_Common_Name: voles
    Taxonomic_Classification:
    Taxon_Rank_Name: Subfamily
    Taxon_Rank_Value: Sigmodontinae
    Applicable_Common_Name: New World rats
    Applicable_Common_Name: New world mice
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Oryzomys
    Applicable_Common_Name: rice rats
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Orzsomys palustris
    Applicable_Common_Name: marsh rice rat
    Applicable_Common_Name: Rata-arrocera de pantano
    Taxonomic_Classification:
    Taxon_Rank_Name: Subspecies
    Taxon_Rank_Value: Orzsomys palustris natator
    Applicable_Common_Name: rice rat
    Applicable_Common_Name: silver rice rat
    Taxonomic_Classification:
    Taxon_Rank_Name: Subspecies
    Taxon_Rank_Value: Oryzomys argentatus (invalid)
    Applicable_Common_Name: silver rice rat
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Sigmodon
    Applicable_Common_Name: cotton rats
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Sigmodon hispidus
    Applicable_Common_Name: hispid cotton rat
    Applicable_Common_Name: Rata-algodonera crespa
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Reptilia
    Applicable_Common_Name: reptiles
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Crocodilia
    Applicable_Common_Name: alligators
    Applicable_Common_Name: caimans
    Applicable_Common_Name: crocodiles
    Applicable_Common_Name: crocodilians
    Applicable_Common_Name: gavials
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Alligatoridae
    Applicable_Common_Name: alligators
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Allogator
    Applicable_Common_Name: alligators
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Alligator mississippiensis
    Applicable_Common_Name: alligator
    Applicable_Common_Name: American alligator
    Applicable_Common_Name: Florida alligator
    Taxonomic_Classification:
    Taxon_Rank_Name: Class
    Taxon_Rank_Value: Aves
    Applicable_Common_Name: birds
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Ciconiiformes
    Applicable_Common_Name: eagles
    Applicable_Common_Name: hawks
    Applicable_Common_Name: diurnal birds of prey
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Accipitridae
    Applicable_Common_Name: eagles
    Applicable_Common_Name: hawks
    Applicable_Common_Name: kites
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Rostrhamus
    Applicable_Common_Name: snail kites
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Rostrhamus sociabilis
    Applicable_Common_Name: snail kite
    Taxonomic_Classification:
    Taxon_Rank_Name: Subspecies
    Taxon_Rank_Value: Rostrhamus sociabilis plumbeus
    Applicable_Common_Name: everglade snail kite
    Taxonomic_Classification:
    Taxon_Rank_Name: Order
    Taxon_Rank_Value: Passeriformes
    Applicable_Common_Name: perching birds
    Taxonomic_Classification:
    Taxon_Rank_Name: Family
    Taxon_Rank_Value: Fringilidae
    Applicable_Common_Name: sparrows
    Taxonomic_Classification:
    Taxon_Rank_Name: Genus
    Taxon_Rank_Value: Ammodramus
    Applicable_Common_Name: grassland sparrows
    Taxonomic_Classification:
    Taxon_Rank_Name: Species
    Taxon_Rank_Value: Ammodramus maritimus
    Applicable_Common_Name: seaside sparrow
    Taxonomic_Classification:
    Taxon_Rank_Name: Subspecies
    Taxon_Rank_Value: Ammodramus maritimus mirabilis
    Applicable_Common_Name: Cape Sable seaside sparrow


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    Other project personnel include Don DeAngelis and Wolf M. Mooij.

  3. To whom should users address questions about the data?

    Michael S. Gaines
    Department of Biology, University of Miami
    P.O. Box 249118
    Coral Gables, FL 33124-0421
    USA

    305 284-5058 (voice)
    m.gaines@miami.edu


Why was the data set created?

This project has the goal of developing models for key components of the Everglades landscape as part of the overall Across Trophic Level System Simulation (ATLSS) program.

The proposed work has four major objectives: 1. Provide rapid support for CERP by producing output and interpretation of requested runs of ATLSS models. 2. Complete an ATLSS model for the American crocodile that is in the final stage of work. 3. Validate models of the snail kite and the Cape Sable seaside sparrow. 4. Providing field work and habitat quality indices for effects of hydrology on selected small mammal and amphibian species.


How was the data set created?

  1. From what previous works were the data drawn?

  2. How were the data generated, processed, and modified?

    Date: Not complete (process 1 of 4)
    Certain species types in the Everglades may be good indicators of hydrologic change, but have been neglected in past performance measures. These include small mammals and amphibians. Here, essential field work will be done to study the effects of Everglades hydrology on small mammals, the silver rice rat (Oryzomys agentatus) and the cotton rat (Sigmidon hispidus) . Spatially explicit species index (SESI) models for both of these small mammal species will be developed as part of the ATLSS suite of models.

    Field work on a few mammal species will be continued in Everglades National Park. This will follow up on several previous years of work. The new work will be directed at providing enough data to construct habitat suitability index (SESI) models for these species. Field work on a few mammal species, in particular , the silver rice rat (Oryzimys agentatus) and the cotton rat (Sigmidon hispidus), will be continued. The approach has been used for a number of species, including the snail kite, Cape Sable seaside sparrow, and American alligator.

    Date: Not complete (process 2 of 4)
    Provide rapid support for CERP by producing output and interpretation of requested runs of ATLSS models

    A Solaris Work station (Sun Blade 100, extra large) capable of simulating the ATLSS models is being purchased and technical support for the models provided. This will be housed and administered in the Department of Biology of the University of Miami. The ATLSS models will be installed in the work station.

    Date: Not complete (process 3 of 4)
    The American crocodile individual-based model has been developed with the purpose of the model is to predict how the American crocodile population will respond to alterations in freshwater flow into the estuary habitat. In the working version of the model individuals grow, interact, breed and suffer mortality dependent upon a static hypothetical landscape, salinity, and interactions with other crocodiles. The most recent work has focused on creating a dynamic landscape dependent upon freshwater input. In support of this modeling effort, the American crocodile radio-tracking project seeks to test for salinity effects upon hatchlings.

    Date: Not complete (process 4 of 4)
    Two of the key models developed under ATLSS are the spatially explicit models of the snail kite (EVERKITE) and the Cape Sable seaside sparrow (SIMSPAR). These models have been used, but validation of the models is still not as complete as desired. New data are now available on (1) the spatial distribution of nesting success of snail kites across many wetland habitat sites in southern and central Florida, and (2) the spatial distribution of Cape Sable sparrow nesting success. These date will be used to test the present versions of the models.

    A validation software tool has been developed for use in comparing empirical data with ATLSS model output. It is being employed currently to test the Cape Sable seaside sparrow and snail kite models. This testing can be expanded when the South Florida Water Management Model 2000 calibration runs are available.

    Person who carried out this activity:

    Michael S. Gaines
    Department of Biology, University of Miami
    P.O. Box 249118
    Coral Gables, FL 33124-0421
    USA

    305 284-5058 (voice)
    m.gaines@miami.edu

  3. What similar or related data should the user be aware of?

    DeAngelis, D. L. Gross. L.J., 2002, The use of models for multi-scaled ecological monitoring: Island Press, Covela, CA.

    Other_Citation_Details:
    in Monitoring Ecosystems: Interdisciplinary Approaches for Evaluating Ecoregional Initiatives, eds. D. Busch and J. C. Trexler
    DeAngelis, D. L. Gross, Louis J., 1998, Landscape modeling for Everglades ecosystem restoration: Ecosystems v. 1, Springer-Verlag, New York, NY.

    DeAngelis, D. L. Gross, L. J., Wolff, W. F.,, 2000, Individual-based models on the landscape: applications to the Everglades: Lewis Publishers, Boca Raton, FL.

    Other_Citation_Details:
    in Landscape Ecology: A Top-Down Approach

    J. Sanderson and L. D. Harris, eds.

    Mooij, William M. Bennetts, Robert E., 2002, Exploring the effect of drought extent and interval on the Florida snail kite: interplay between spatial and temporal scales: Ecological Modelling v. 149, no. 1-2, Elsevier Science B V, Amsterdam, Netherlands.

    DeAngelis, D. L. Mooij, W. M., Nott, M. P., , 2001, Individual-based models: The importance of variability among individuals: Island Press, Covello, CA.

    Other_Citation_Details:
    in Modeling in Natural Resource Management: Development, Interpretation, and Application

    A. Franklin and T. Schenk, eds.

    DeAngelis, D. L. Bellmund, S., Mooij, W. M.,, 2002, Modeling ecosystem and population dynamics on the South Florida hydroscape: CRC Press, Delray Beach, FL.

    Other_Citation_Details:
    in The Everglades, Florida Bay and Coral Reefs of the Florida Keys: An Ecosystem Sourcebook

    J. W. Porter and K. G. Porter, eds.


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

  2. How accurate are the geographic locations?

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    unavailable

  5. How consistent are the relationships among the observations, including topology?

    unavailable


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: none
Use_Constraints:
These data are subject to change and are not citeable until reviewed and approved for official publication.

  1. Who distributes the data set? (Distributor 1 of 1)

    Michael S. Gaines
    Department of Biology, University of Miami
    P.O. Box 249118
    Coral Gables, FL 33124-0421
    USA

    305 284-5058 (voice)
    m.gaines@miami.edu

  2. What's the catalog number I need to order this data set?

    ATLSS models

  3. What legal disclaimers am I supposed to read?

    No warrantees are implied or explicit for the data

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 24-Jan-2007
Metadata author:
Heather Henkel
U.S. Geological Survey
600 Fourth Street South
St. Petersburg, FL 33701
USA

727 803-8747 ext 3028 (voice)
727 803-2030 (FAX)
sofia-metadata@usgs.gov

Metadata standard:
Content Standard for Digital Geospatial Metadata Part !: Biological Data Profile (FGDC-STD-001.1-1999)


This page is <http://sofia.usgs.gov/metadata/sflwww/gaines_04.faq.html>

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Comments and suggestions? Contact: Heather Henkel - Webmaster
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