Evolving Approaches and Technologies to Enhance the Role of Ecological Modeling in Decision Making

Understanding the effects of management activities is difficult for natural resource managers and decision makers because ecological systems are highly complex and their behavior is difficult to predict. Furthermore, the empirical studies necessary to illuminate all management questions quickly become logistically complicated and cost prohibitive. Ecological models provide a means to formalize our conceptual understanding of how an ecological system works and allow us to check this understanding by testing model predictions. Validated models can then be used to make predictions about the effects of proposed management activities, giving decision makers useful information that would not be available from empirical data.

[1]  Thomas Maxwell,et al.  A paris-model approach to modular simulation , 1999, Environ. Model. Softw..

[2]  F. Armstrong Forestry for civic leaders of the twenty-first century. , 1990 .

[3]  Daniel L. Schmoldt,et al.  Building Knowledge-Based Systems for Natural Resource Management , 1996, Springer US.

[4]  J. Wondolleck Public Lands Conflict and Resolution , 1988, Environment, Development, and Public Policy.

[5]  Michael W. Berry,et al.  The design and implementation of an individual-based predator-prey model for a distributed computing environment , 1999, Simul. Pract. Theory.

[6]  Kevin Warburton Animal Groups in Three Dimensions: Social forces in animal congregations: Interactive, motivational, and sensory aspects , 1997 .

[7]  D. Halpern Thought and Knowledge: An Introduction to Critical Thinking , 1995 .

[8]  Keith M. Reynolds,et al.  Knowledge-based assessment of watershed condition. , 2000 .

[9]  Scott E. Richert,et al.  Remote sensing and GIS in ecosystem management , 1995 .

[10]  E. J. Comiskey,et al.  Individual-Based Models on the Landscape: Applications to the Everglades , 1999 .

[11]  R. Haight,et al.  A Regional Landscape Analysis and Prediction of Favorable Gray Wolf Habitat in the Northern Great Lakes Region , 1995 .

[12]  D. DeAngelis,et al.  Individual-Based Models and Approaches in Ecology , 1992 .

[13]  Michael Bevers,et al.  Spatial Optimization for Managed Ecosystems , 1998 .

[14]  Hugh P. Possingham,et al.  Marine protected areas for spatially structured exploited stocks , 2000 .

[15]  Pacific Southwest Forest,et al.  Wildlife 2000: Modeling Habitat Relationships of Terrestrial Vertebrates , 1987 .

[16]  Jerome H. Friedman Multivariate adaptive regression splines (with discussion) , 1991 .

[17]  Ami Marowka,et al.  The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..

[18]  C. S. Holling Cross-Scale Morphology, Geometry, and Dynamics of Ecosystems , 1992 .

[19]  T. B. Knopp,et al.  The role of participatory democracy in forest management. , 1990 .

[20]  Bruce Hannon,et al.  Modeling Dynamic Biological Systems , 1999, Modeling Dynamic Systems.

[21]  L. Gross,et al.  LANDSCAPE‐BASED SPATIALLY EXPLICIT SPECIES INDEX MODELS FOR EVERGLADES RESTORATION , 2000 .

[22]  Michael Boggs,et al.  Mastering UML with Rational Rose , 1999 .

[23]  E. David Ford,et al.  Volume V: a framework for sustainable-ecosystem management. , 1994 .

[24]  Gianni Jacucci,et al.  Developing transportable agricultural decision support systems: Part 1. A conceptual framework , 1996 .

[25]  Thomas Maxwell,et al.  A language for modular spatio-temporal simulation , 1997 .

[26]  James L. Martin,et al.  Hydrodynamics and Transport for Water Quality Modeling , 1998 .

[27]  G. Miller,et al.  Cognitive science. , 1981, Science.

[28]  R. Andrew Goodwin,et al.  Simulating Movement Patterns of Blueback Herring in a Stratified Southern Impoundment , 2002 .

[29]  H. M. Steven,et al.  Forest Management , 2020, Nature.

[30]  René A. Salinas,et al.  A dynamic landscape model for fish in the Everglades and its application to restoration , 2000 .

[31]  E. C. Hodgman,et al.  A conceptual framework to guide nursing curriculum. , 1973, Nursing forum.

[32]  Manuela M. P. Huso,et al.  A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon , 1997 .

[33]  Gianni Jacucci,et al.  Developing transportable agricultural decision support systems: Part 2. An example , 1996 .

[34]  S. Levin The problem of pattern and scale in ecology , 1992 .

[35]  John R. Walters,et al.  Crafting knowledge-based systems , 1988 .

[36]  John M. Nestler,et al.  Describing scales of features in river channels using fractal geometry concepts , 2000 .

[37]  John Sessions,et al.  Using Tabu search to schedule timber harvests subject to spatial wildlife goals for big game , 1997 .

[38]  Gerald W. Both,et al.  Object-oriented analysis and design with applications , 1994 .

[39]  A. R. Johnson,et al.  A hierarchical framework for the analysis of scale , 1989, Landscape Ecology.

[40]  Edwina L. Rissland,et al.  Cognitive Science: An Introduction , 1987 .

[41]  Julia M. Wondolleck Public lands conflict and resolution: managing national forest disputes , 1988 .

[42]  Julia K. Parrish,et al.  Animal Groups in Three Dimensions: Analysis , 1997 .

[43]  S. Levin THE PROBLEM OF PATTERN AND SCALE IN ECOLOGY , 1992 .

[44]  Thomas Maxwell,et al.  An Open Geographic Modeling Environment , 1997, Simul..

[45]  F. Rahel,et al.  The Hierarchical Nature of Community Persistence: A Problem of Scale , 1990, The American Naturalist.

[46]  Aaron M. Ellison,et al.  AN INTRODUCTION TO BAYESIAN INFERENCE FOR ECOLOGICAL RESEARCH AND ENVIRONMENTAL , 1996 .

[47]  Daniel P. Loucks,et al.  Simulating Mobile Populations in Aquatic Ecosystems , 2001 .

[48]  L. Zadeh,et al.  Fuzzy Logic for the Management of Uncertainty , 1992 .

[49]  Craig Loehle,et al.  Optimizing wildlife habitat mitigation with a habitat defragmentation algorithm , 1999 .

[50]  B. C. Hazen,et al.  The simulation of land-cover change using a distributed computing environment , 1997, Simul. Pract. Theory.

[51]  Keith M. Reynolds NetWeaver for EMDS user guide (version 1.1): a knowledge base development system. , 1999 .

[52]  J. Friedman Multivariate adaptive regression splines , 1990 .

[53]  Hugh P. Possingham,et al.  Effectiveness of alternative heuristic algorithms for identifying indicative minimum requirements for conservation reserves , 1997 .

[54]  E. J. Comiskey,et al.  Landscape Modeling for Everglades Ecosystem Restoration , 1998, Ecosystems.

[55]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[56]  Michael W. Berry,et al.  Parallelization in a spatially explicit individual-based ecological model—1: spatial data interpolation , 1997 .

[57]  A. Prasad,et al.  Atlas of current and potential future distributions of common trees of the eastern United States , 1999 .

[58]  E. Næsset Geographical information systems in long-term forest management and planning with special reference to preservation of biological diversity: a review , 1997 .

[59]  Daryl Pregibon,et al.  Tree-based models , 1992 .

[60]  Colin W. Clark,et al.  Mathematical Bioeconomics: The Optimal Management of Renewable Resources. , 1993 .

[61]  George A. Agoston Color theory and its application in art and design , 1979 .

[62]  B. Coffin,et al.  Sustainable forests education cooperative: an experiment in collaborative continuing education. , 2001 .

[63]  L. Harris,et al.  Landscape Ecology , 1999 .

[64]  J. Kolasa,et al.  Ecological Systems in Hierarchical Perspecitive: Breaks in Community Structure and Other Consequences , 1989 .