Don DeAngelis
Louis J. Gross,
Steve Hartley,
James Johnston,
Frank J. Mazzotti,
Leonard Pearlstine,
Kenneth G. Rice
Unknown
Across Trophic Level System Simulation (ATLSS) Program
models, reports
http://sofia.usgs.gov/projects/atlss/
The ATLSS (Across Trophic Level System Simulation) program addresses CERP’s (Comprehensive Everglades Restoration Plan) need for quantitative projections of effects of scenarios on biota of the Greater Everglades and can provide guidance to monitoring in an adaptive assessment framework. It does this through creating a suite of models for selected Everglades biota, which can translate the hydrologic scenarios into effects on habitat and demographic variables of populations.
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.
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
There are several submodels within the ATLSS Project, including: Alligators, Cape Sable Seaside Sparrows, Crayfish, Deer, Fish, Florida Panthers, Hydrology, Snail Kite, Landscape/Vegetation, and Wading Birds.
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)
1996
Unknown
publication date
As needed
wetland systems of south Florida
-81.30333
-80.262125
25.847113
24.696151
none
ATLSS
model
Across Trophic Levels System Simulation
hydrology
Landscape/vegetation
ecology
biology
alligators
Snail Kite
wading birds
Florida panthers
fish
crayfish
deer
Cape Sable Seaside Sparrows
ISO 19115 Topic Category
biota
environment
inlandWaters
004
007
012
Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology
United States
US
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST
Florida
FL
Department of Commerce, 1990, Counties and Equivalent Entities of the United States, Its Possessions, and Associated Areas, FIPS 6-3, Washington, DC, National Institute of Standards and Technology
Miami-Dade County
Monroe County
USGS Geographic Names Information System
Florida Bay
Big Cypress National Preserve
Everglades National Park
none
Central Everglades
SW Big Cypress
South East Coast
Florida Keys
none
animals
mammals
reptiles
vertebrates
single species
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)
2000
Integrated Taxonomic Information System (ITIS)
Database
Retrieved from the Integrated Taxonomic Information System on-line database, http://www.itis.gov.
http://www.itis.gov
various depending on the animals studied
various depending on the submodel requirements
Kingdom
Animalia
animals
Phylum
Chordata
chordates
Subphylum
Vertebrata
vertebrates
none
None. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
Donald L. DeAngelis
U.S. Geological Survey
mailing address
Dept. of Biology, Univ of Miami
P.O. Box 249118
Coral Gables
FL
33124-0421
United States
(305) 284-31690
(305) 284-3039
don_deangelis@usgs.gov
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.
DeAngelis, D. L.
Gross. L.J.
2002
The use of models for multi-scaled ecological monitoring
Book chapter
Covela, CA
Island Press
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
report
Ecosystems
v. 1
New York, NY
Springer-Verlag
DeAngelis, D. L.
Gross, L. J.,
Wolff, W. F.,
Fleming, D. M.,
Nott, M. P.,
Comiskey, E. J.
2000
Individual-based models on the landscape: applications to the Everglades
Book chapter
Boca Raton, FL
Lewis Publishers
in Landscape Ecology: A Top-Down Approach
J. Sanderson and L. D. Harris, eds.
unavailable
unavailable
Field
See http://www.atlss.org for information regarding the individual species and models.
The ongoing goals in the ATLSS Program have been to produce models capable of projecting and comparing the effects of alternative scenarios on various trophic components of the Everglades. ATLSS models delivered in 2003 include:
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.
Not complete
Work planned for FY 2004 includes four projects needed to continue applications of the ATLSS program to CERP (Comprehensive Everglades Restoration Plan). These projects are: 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, 3. Spatial Decision Support for Biodiversity and Indicator Species Responses to CERP Project Activities, and 4. Integrating Wading Bird Empirical Data into a Model of Wading Bird Foraging Success as a Function of Hydrologic Conditions. The individual project metadata contain more detailed information about each project.
Not complete
Donald L. DeAngelis
U.S. Geological Survey
mailing address
Dept. of Biology, Univ of Miami
P.O. Box 249118
Coral Gables
FL
33124-0421
United States
(305) 284-31690
(305) 284-3039
don_deangelis@usgs.gov
ATLSS
Donald L. DeAngelis
U.S. Geological Survey
mailing address
Dept. of Biology, Univ of Miami
P.O. Box 249118
Coral Gables
FL
33124-0421
United States
(305) 284-31690
(305) 284-3039
don_deangelis@usgs.gov
ATLSS models and data
The models are subject to change. No warrantees are implied or explicit for the models.
models
http://www.atlss.org
The models are available from the ATLSS web site.
none
20070117
Heather Henkel
U.S. Geological Survey
mailing and physical address
600 Fourth Street South
St. Petersburg
FL
33701
USA
727 803-8747 ext 3028
727 803-2030
sofia-metadata@usgs.gov
Content Standard for Digital Geospatial Metadata Part 1: Biological Data Profile
FGDC-STD-001.1-1999