000 04544nam a22004575i 4500
001 978-1-4614-1257-1
003 DE-He213
005 20140220083242.0
007 cr nn 008mamaa
008 120413s2012 xxu| s |||| 0|eng d
020 _a9781461412571
_9978-1-4614-1257-1
024 7 _a10.1007/978-1-4614-1257-1
_2doi
050 4 _aGE300-350
072 7 _aTQD
_2bicssc
072 7 _aSCI026000
_2bisacsh
082 0 4 _a363.7063
_223
100 1 _aWestervelt, James D.
_eeditor.
245 1 0 _aEcologist-Developed Spatially-Explicit Dynamic Landscape Models
_h[electronic resource] /
_cedited by James D. Westervelt, Gordon L. Cohen.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aXX, 260p. 55 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aModeling Dynamic Systems
505 0 _aPreface -- Foreword -- Never Fear--You Already Model! -- A Collaborative Process for Multidisciplinary Group Modeling Projects -- An Introduction to the NetLogo Modeling Environment -- A Simulation Model of Fire Ant Competition with Cave Crickets at Fort Hood, Texas -- Spatially Explicit Agent-Based Model of Striped Newt Metapopulation Dynamics Under Precipitation and Forest Cover Scenarios -- Forecasting Gopher Tortoise Distribution and Long-Term Viability at Fort Benning, Georgia -- Using Demographic Sensitivity Testing to Guide Management for Gopher Tortoises on Fort Stewart, Georgia -- A Model for Evaluating Hunting and Contraception as Feral Hog Population Control Methods -- Spatially Explicit Modeling of Productivity in Pool 5 of the Mississippi River -- Simulating Gopher Tortoise Populations in Fragmented Landscapes: An Application of the FRAGGLE Model -- An Individual-Based Model for Metapopulations on Patchy Landscapes – Genetics and Demography (IMPL-GD) -- An Implementation of the Pathway Analysis Through Habitat (PATH) Algorithm Using NetLogo -- A Technique for Rapidly Forecasting Regional Urban Growth -- Modeling Intimate Partner Violence and Support Systems -- Index.
520 _aThe optimal management of landscapes must incorporate the cause-and-effect relationships that have so carefully been observed by ecologists in the field. The growing availability of straightforward, user-friendly simulation modeling tools is now helping to bridge the considerable gap between the ecologist’s deep, intuitive technical understanding of landscape systems and the development of practical, science-driven landscape management plans. This book offers a thorough introduction to the topic of real-world simulation modeling for scientists who have completed little or no preparatory work in computer programming. It describes the usefulness of simple, expedient simulation models to disciplines such as ecology and the social sciences, and explains why such models can readily be understood, adopted, and extended by peers in the field or students. The text provides a detailed description of the process for building spatially explicit simulation models, either by an individual scientist or a multidisciplinary project team. It also introduces the reader to the public domain, easy-to-learn NetLogo software environment, which was used to develop all of the models presented in this book. By following the prescribed model design and development processes, the reader will learn the essentials of rapidly and inexpensively developing simulation models that can provide important new insights into landscape management or other field research problems. Eleven spatially explicit NetLogo simulation models, all developed by ecologists and social scientists without significant programming experience, are fully documented. The book also includes a CD-ROM containing these models and a fully operational copy of NetLogo that functions under all major computer operating systems running Java.
650 0 _aEnvironmental sciences.
650 0 _aBiology
_xData processing.
650 1 4 _aEnvironment.
650 2 4 _aEnvironmental Monitoring/Analysis.
650 2 4 _aComputer Appl. in Life Sciences.
700 1 _aCohen, Gordon L.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461412564
830 0 _aModeling Dynamic Systems
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1257-1
912 _aZDB-2-EES
999 _c101028
_d101028