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Predictive species and habitat modeling in landscape ecology
Title statement Predictive species and habitat modeling in landscape ecology : concepts and applications / C. Ashton Drew, Yolanda F. Wiersma, Falk Huettmann, editors Publication New York : Springer Science+Business Media, LLC, [2011] Copyright notice date ©2011 Phys.des. 1 online zdroj (xiv, 313 stran) : ilustrace (některé barevně) ISBN 9781441973900 (online ; pdf) 1441973907 Internal Bibliographies/Indexes Note Obsahuje bibliografické odkazy a rejstřík Contents Predictive Species and Habitat Modelingin Landscape Ecology; Foreword; Acknowledgments; Contents; Abbreviations; Chapter 1: Introduction. Landscape Modeling of Species and Their Habitats: History, Uncertainty, and Complexity; 1.1 Where Do We Come from?; 1.2 Where Are We Going?; 1.3 Key Themes; 1.4 Organization of the Book; References; Part I Current State of Knowledge; Chapter 2: Integrating Theory and Predictive Modeling for Conservation Research; Chapter 3: The State of Spatial and Spatio-Temporal Statistical Modeling; Part II Integration of Ecological Theory into Modeling Practice. Notes to Availability Přístup pouze pro oprávněné uživatele Note Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Another responsib. Drew, C. Ashton (Christina Ashton), 1973- (editor) Wiersma, Yolanda F. (Yolanda Francine), 1973- (editor) Huettmann, Falk, 1967- (editor) Tištěná verze knihy Subj. Headings krajinná ekologie landscape ecology * biogeografie biogeography * ochrana přírody nature conservation * konzervační biologie conservation biology Form, Genre elektronické knihy electronic books Conspect 502 - Životní prostředí a jeho ochrana UDC 57:502 , 502.17 , 574.9 , 502.5 , (0.034.2:08) Country New York Language angličtina Document kind Electronic sources URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=372172 
book
Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The.
Predictive Species and Habitat Modelingin Landscape Ecology; Foreword; Acknowledgments; Contents; Abbreviations; Chapter 1: Introduction. Landscape Modeling of Species and Their Habitats: History, Uncertainty, and Complexity; 1.1 Where Do We Come from?; 1.2 Where Are We Going?; 1.3 Key Themes; 1.4 Organization of the Book; References; Part I Current State of Knowledge; Chapter 2: Integrating Theory and Predictive Modeling for Conservation Research; Chapter 3: The State of Spatial and Spatio-Temporal Statistical Modeling; Part II Integration of Ecological Theory into Modeling Practice.
Number of the records: 1