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  • Key words: Everglades; landscape model; ecosystem model; indicator species; wetlands; computer simulation.  (1)
  • Everglades
  • 1995-1999  (1)
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  • 1
    ISSN: 1435-0629
    Schlagwort(e): Key words: Everglades; landscape model; ecosystem model; indicator species; wetlands; computer simulation.
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Biologie
    Notizen: ABSTRACT A major environmental restoration effort is under way that will affect the Everglades and its neighboring ecosystems in southern Florida. Ecosystem and population-level modeling is being used to help in the planning and evaluation of this restoration. The specific objective of one of these modeling approaches, the Across Trophic Level System Simulation (ATLSS), is to predict the responses of a suite of higher trophic level species to several proposed alterations in Everglades hydrology. These include several species of wading birds, the snail kite, Cape Sable seaside sparrow, Florida panther, white-tailed deer, American alligator, and American crocodile. ATLSS is an ecosystem landscape-modeling approach and uses Geographic Information System (GIS) vegetation data and existing hydrology models for South Florida to provide the basic landscape for these species. A method of pseudotopography provides estimates of water depths through time at 28 × 28-m resolution across the landscape of southern Florida. Hydrologic model output drives models of habitat and prey availability for the higher trophic level species. Spatially explicit, individual-based computer models simulate these species. ATLSS simulations can compare the landscape dynamic spatial pattern of the species resulting from different proposed water management strategies. Here we compare the predicted effects of one possible change in water management in South Florida with the base case of no change. Preliminary model results predict substantial differences between these alternatives in some biotic spatial patterns.
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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