000 02429nam a2200265Ia 4500
003 ASM
005 20250224123224.0
008 250221s9999 xx 000 0 und d
010 _a00012956
020 _a1559637404
020 _a9781559637404
020 _qPaperback
040 _cASM
050 _aQH541.15.S72 M64 2001
100 _aTanya M Shenk
_eEditor
110 _aTanya M Shenk
245 0 _aModeling in Natural Resource Management
_bDevelopment, Interpretation, and Application
_cTanya M Shenk
260 _aWashington D.C
_bIsland Press
_c2001
300 _a223 pages
_bTables, Maps, Graphs, Illustrations, Charts
_c23 cm
520 _aThe natural environment is so complex that simplification through abstraction is necessary to communicate concepts and relationships, to comprehend possible reactions, and to decide upon a course of action for management. Today, nearly every decision concerning the management of natural resources is based on a model of one kind or another. Modeling in Natural Resource Management offers a much-needed overview of the basic principles for understanding and evaluating models. Focusing on the fundamental components of model creation, interpretation, and application, the book provides a wealth of information on how models are developed and used in natural resource management, as it: defines what models are explores how the different classes of models fit into the scientific process discusses how to determine the appropriateness and usefulness of a particular model provides examples of how models are used (and misused) considers how further progress might be achieved Chapters written by leading experts -- including Mark S. Boyce, William T. Clark, Michael J. Conroy, Donald L. DeAngelis, Douglas H. Johnson, William L. Kendall, Lyman L. McDonald, Marc Mangel, James D. Nichols, Gary C. White, and others -- describe how models should be constructed and interpreted, and highlight how they can be and have been used. Modeling in Natural Resource Management brings together in a single volume the best and most current information about natural resource modeling and its on-the-ground application, providing a valuable reference both for scientists involved with issues of natural resource management and for managers who apply the science to real-world problems.
546 _aEnglish
650 _aEcology
700 _aAlan B Franklin
_eEditors
942 _cBooks
999 _c6804
_d6804