Landscape Ecology and Quantitative Stratigraphy: Parallel Perspectives on Spatial Heterogeneity
Published:January 01, 1999
Roy E. Plotnick, 1999. "Landscape Ecology and Quantitative Stratigraphy: Parallel Perspectives on Spatial Heterogeneity", Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations, John W. Harbaugh, W. Lynn Watney, Eugene C. Rankey, Rudy Slingerland, Robert H. Goldstein, Evan K. Franseen
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The disciplines of landscape ecology and quantitative dynamic stratigraphy have developed independently, but in parallel directions. Both disciplines are concerned with the description, origins, evolution, and consequences of spatial heterogeneity. Both have benefited from rapid developments in remote sensing, geographic information systems, and high-speed computer modeling. Researchers in both fields have recognized the significance of scale-dependent and scale-independent processes and thus the uses of fractal geometry; consequently, numerical methods used for describing spatial heterogeneity in ecological landscapes should be readily applied to the analysis of both model and real-world stratigraphic systems. This paper discusses how landscape statistics, such as diversity, contagion, and lacunarity, can be fruitfully applied to the description of stratigraphic sequences and have the potential for improving model data comparisons.
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Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations
Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations - This volume presents the results derived from a three-day workshop held at the University of Kansas, Lawrence, Kansas, from May 15 through May 17, 1996. The objectives of the workshop were to document, characterize, demonstrate, and compare different computing procedures that have been utilized in simulating stratigraphic sequences. Both inverse and forward simulation modeling procedures are represented. The results of the workshop and the papers assembled here include: (1) an enhanced understanding of similarities and differences between models and modeling philosophies, (2) increased communication among modeling groups and geoscientists, (3) critical evaluation of applications and assessment of how models have been utilized, and (4) improvements and refinements in techniques for generating and describing model input and output.