ATLSS is constructed as a multimodel, meaning that it includes a collection of linked models for various physical and biotic systems components of the Greater Everglades. The ATLSS models are all linked through a common framework of vegetative, topographic, and land use maps that allow for the necessary interaction between spatially explicit information on physical processes and the dynamics of organism response across the landscape.
Currently, two important new developments are taking place. First the ATLSS models will soon migrate to a Web-based availability, so that they can be run remotely for various hydrologic scenarios and a set of different assumptions. Second, a vegetation succession model is being completed, which will allow projection of changes in vegetation types across the Everglades landscape as a function of changing hydrology, fire frequency, and nutrient loading.
Models currently available are:
ATLSS SESI models: Cape sable seaside sparrow breeding potential index (Version 1.1) Snail kite breeding potential index (Version 1.1) Long-legged wading bird foraging condition index (Version 1.1) Short-legged wading bird foraging condition index (Version 1.1) Empirically-based fish biomass index (Version 1.1) White-tailed deer breeding potential index (Version 1.1) American alligator breeding potential index (Version 1.1) Everglades and slough crayfish (Version 1.1) Apple snail SESI model (Version 1.1)
Spatially Explicit Demographic Models: Cape sable seaside sparrow demographic model (SIMSPAR - Version 1.3) Snail kite demographic model (EVERKITE - Version 3.1) Alligator demographic model (Version 1.1)
Spatially Explicit Functional Group Models: Freshwater fish dynamics (ALFISH - Version 3.1.17)
GIS Animal Tracking Tool: Florida panther tracking tool (PANTRACK - Version 1.1)
Landscape Models: High Resolution Topography (HRT - Version 1.4.8)
Vegetation productivity (HTDAM - Version 1.1) High Resolution
Hydrology (HRH - Version 1.4.8)
Don DeAngelis Louis J. Gross, Steve Hartley, James Johnston, Frank , Unknown, Across Trophic Level System Simulation (ATLSS) Program.Online Links:
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)
Project personnel include Brian Beckage, Rob Bennetts, Cristina Bondavalli, Laura Brandt, Kevin Chartier, Matthew Chopp, Jon Cline, Jane Comiskey, Phil Darby, Quan Dong, Thomas W. Doyle, Scott Duke-Sylvester, Jennifer DuPree, Paul A. Fishwick, Holly Gaff, Michael S. Gaines, Dale E. Gawlik, Chris Gregory, Johanna J. Heymans, Ray Hilborn, Michael Ignotovich, Brian Jeffrey, Wiley M. Kitchens, Ken W. Krauss, Jason Liddle, M. Philip Nott, Mark Palmer, Michael Peek, H. Franklin Percival, Amanda Rice, Victor H. Rivera-Monroy, Rene Salinas, Fred H. Sklar, William Sleavin, Daniel Slone, George Stewart, Robert R. Twilley, Robert E. Ulanowicz, and Paul R. Wetzel.
(305) 284-31690 (voice)
(305) 284-3039 (FAX)
don_deangelis@usgs.gov
An essential component of restoration planning in South Florida has been the development and use of computer simulation models for the major physical processes driving the system, notably models of hydrology incorporating effects of alternative human control systems and non controlled inputs such as rainfall. The USGS’s ATLSS (Across Trophic Level System Simulation) Program utilizes the outputs of such physical system models as inputs to a variety of ecological models that compare the relative impacts of alternative hydrologic scenarios on the biotic components of South Florida. The immediate objective of ATLSS is to provide a rational, scientific basis for ranking the water management scenarios as part of to the planning process for Everglades restoration. The longer term goals of ATLSS are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to provide a framework monitoring and adaptive management schemes. The ATLSS Program coordinates and integrates the work of modelers and empirical ecologists at many universities and research centers.The ongoing goals in the ATLSS Program have been to produce models capable of projecting and comparing the effects of alternative hydrologic scenarios on various trophic components of the Everglades. The methodology involves: 1) a landscape structure; 2) a high resolution topography to estimate high resolution water depth across the landscape; 3) models to calculate spatially explicit species indices (SESI) for breeding and foraging success measures across the landscape; 4) spatially explicit individual-based (SEIB) computer simulation models of selected species populations; and 5) ability to plug into variety of visualization and evaluation tools to aid model development, validation, and comparison to field data. Included in this are numerous sub-projects for different species, vegetation succession, analysis of alternative approaches to developing high resolution, models which deal with estuarine systems, methods to allow users from a variety of agencies to access and run the models, and methods to enhance the computational efficiency of the simulations. The continuing general objective is to provide a flexible, efficient collection of methods, utilizing the best current science, to evaluate the relative impacts of alternative hydrologic plans on the biotic systems of South Florida. This is done in a spatially-explicit manner which allows different stakeholders to evaluate the impacts based upon their own criteria for the locations and biotic systems under consideration.
There are four projects under the ATLSS program:
1. ATLSS Model Use in CERP Evaluations, Model Testing and Extension to Web-Based Interface
2. Development of an Internet Based GIS to Visualize ATLSS Datasets for Resource Managers
3. Spatial Decision Support for Biodiversity and Indicator Species Responses to CERP Project Activities
4. Integrating Wading Bird Empirical Data into a Model of Wading Bird Foraging Success as a Function of Hydrologic Conditions
See <http://www.atlss.org> for information regarding the individual species and models.
Vegetation Succession Model America Crocodile Model Crayfish Structured Population Model
In addition, the ATLSS Program is supporting the development of a Decision Support System. This is to go beyond ad-hoc policy formulation to an analytical and computer-supported platform for effective management and policy-making. Part of this effort involves developing a GIS interface to the ATLSS models and providing network access to ATLSS models.
Person who carried out this activity:
(305) 284-31690 (voice)
(305) 284-3039 (FAX)
don_deangelis@usgs.gov
DeAngelis, D. L. Gross. L.J., 2002, The use of models for multi-scaled ecological monitoring: Island Press, Covela, CA.
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.
J. Sanderson and L. D. Harris, eds.
unavailable
unavailable
Are there legal restrictions on access or use of the data?
- Access_Constraints: none
- Use_Constraints:
- None. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
(305) 284-31690 (voice)
(305) 284-3039 (FAX)
don_deangelis@usgs.gov
ATLSS models and data
The models are subject to change. No warrantees are implied or explicit for the models.
| Data format: | models |
|---|---|
| Network links: |
<http://www.atlss.org> |
727 803-8747 ext 3028 (voice)
727 803-2030 (FAX)
sofia-metadata@usgs.gov
U.S. Department of the Interior, U.S. Geological Survey, Center for
Coastal Geology
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Henkel - Webmaster
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