6 edition of Modeling spatiotemporal dynamics in ecology found in the catalog.
Modeling spatiotemporal dynamics in ecology
Published
1998
by Springer, Landes Bioscience in Berlin, New York, Georgetown, TX
.
Written in English
Edition Notes
Includes bibliographical references and index.
| Statement | Jordi Bascompte, Ricard V. Solé (eds.). |
| Contributions | Bascompte, Jordi, 1967-, Solé, Ricard V., 1962- |
| Classifications | |
|---|---|
| LC Classifications | QH541.15.M3 M614 1998 |
| The Physical Object | |
| Pagination | 230 p. : |
| Number of Pages | 230 |
| ID Numbers | |
| Open Library | OL680166M |
| ISBN 10 | 1570595054, 3540634495 |
| LC Control Number | 97026698 |
Process modelsdescribing the underlying ecological pro- cesses (i.e., spatiotemporal occupancy and abundance dynamics). Finally, we developed Parameter modelsrep- resenting our prior knowledge about the parameter inputs in the ecological process model and data model. A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to.
Competition dynamics in a seasonally varying wetland --Spatial dynamics of multitrophic communities --Bistability dynamics in structured ecological models --Modeling animal movement with diffusion --Riverine landscapes: ecology for an alternative geometry --Biological modeling with quiescent phases --Spatial scale and population dynamics in. Malchow / Petrovskii / Venturino, Spatiotemporal Patterns in Ecology and Epidemiology, , Buch, Bücher schnell und portofrei Beachten Sie bitte die aktuellen Informationen unseres Partners DHL zu Liefereinschränkungen im Ausland.
springer, This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and ecology, and provide a predictive framework which is able to assimilate data and give confidence. Z. Zhang et al.: Modeling spatiotemporal dynamics of global wetlands and interannual distribution of wetland area remains one of the largest uncertainties in the global CH4 budget (Kirschke et al., ), in particular for the roughly 60% of wetlands.
Tanners and chemists handbook
story of the Parish Church of St. Mary-le-Strand, London
Second crossboard tourney of the National checker association held at the Winthrop hotel
Cheese buying guide for consumers
Badminton
forest industry of British Columbia.
Fundamentals of Word/Information Processing in Business
Television English 1.
Black youth rising
East Hampshire lay subsidy assessments, 1558-1603
Nurse shortages
Report on Yaws
Levinas and nineteenth-century literature
A review of one of the most important areas of theoretical ecology: the study of spatiotemporal dynamics by means of a spatially explicit approximation, allowing investigation of the effects of real space. Models are provided to calculate development of populations in time and ecological niches.
The book first describes relevant phenomena in ecology and epidemiology, provides examples of pattern formation in natural systems, and summarizes existing modeling approaches. The authors then explore nonspatial models of population dynamics and epidemiology. Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped.
Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology:Cited by: This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility.
The authors use ideas from statistics, signal processing, and ecology, andBrand: Springer International Publishing.
The chapters on ecology and evolutionary theory provide a guided tour through a number of scenarios and modeling approaches that represent active areas of current research and suggest some paths toward conceptual unification.
The book then illustrates how problems in epidemiology and ecology can be profitably addressed by similar modeling regimes. Introduction This authored monograph presents the use of dynamic spatiotemporal modeling tools for the identification of complex underlying processes in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility.
He was awarded a European Young Investigator Award, and is coeditor of Modeling Spatiotemporal Dynamics in Ecology. "A great book. Self-organization in Complex Ecosystems brings a whole new set of tools from statistical physics into the realm of studying ecological systems.
Mathematical ecology is the application of mathematics to describe and understand ecosystems. There are two main approaches. One is to describe natural communities and induce statistical patterns or relationships which should generally occur.
However, this book is devoted entirely to introducing. ment of the sciences of ecology and evolutionary biology. The predator-prey equations of Lotka and Volterra in the s helped to establish the ecologi-cal study of population dynamics.
The population genetics models developed. ecological modeling. A small data set on seed removal illustrates the three most common frameworks for statistical modeling in ecology: frequentist, likelihood-based, and Bayesian.
The chapter also reviews what you should know to get the most out of the book, discusses the R language, and spells. We proposed an integrated framework for habitat spatiotemporal dynamic and its driving mechanism based on the Maxent modeling and landscape ecology theory.
The proposed method has three steps: (1) collect and prepare input data, including species records and environmental data; (2) model the habitat spatiotemporal dynamics, including area, type, suitability, landscape pattern, and connectivity based on Maxent and landscape ecology theory.
Spatiotemporal Dynamics in Ecology: Insights from Physics. Simulations of invasion in cyclic predator-prey systems show plane waves behind the invasion front. When the selected plane wave is unstable, there is a band of plane waves of constant width, followed by spatiotemporal chaos.
This text reviews one of the most important areas of theoretical ecology - the study of spatiotemporal dynamics by means of a spatially explicit approximation that allows the investigation of the effects of real space. The book provides models for the calculation of the development of populations in time and in their ecological niches.
In the past few years, part of theoretical ecology has focused on the spatiotemporal dynamics generated by simple ecological models.
To a large extent, the. Abstract In the past few years, part of theoretical ecology has focused on the spatiotemporal dynamics generated by simple ecological models.
To a large extent, the results obtained have changed our view of complexity. Specifically, simple rules are able to produce complex spatiotemporal patterns.
Spatiotemporal patterns in ecology and epidemiology: theory, models, and simulation / Horst Malchow, Sergei V Petrovskii and Ezio Venturino. ‑‑ (Chapman & Hall/CRC mathematical and computational biology ; 17) Includes bibliographical references and index.
ISBN ‑1‑‑‑7 (alk. paper) 1. Ecology‑‑Mathematical models. SPATIOTEMPORAL DYNAMICS IN ECOLOGY: for nearly years, and a wide variety of different models have been proposed, including a large number consisting of two coupled odes (see the books [3, 4] for review).
A typical example is the Rosenzweig-MacArthur model [5], which has the. Modeling spatiotemporal dynamics of outbreaking species: influence of environment and migration in a locust. Sophie Veran. Occupancy models represent a promising approach to unravel interactions between environmental factors and spatiotemporal dynamics of outbreaking populations.
Ecology, /ecy,11, (). This book presents a comprehensive typology and a comprehensible description of spatiotemporal models used in population dynamics.
The main types included are: reaction-diffusion systems, patch models, matapopulation approaches, host parasitoid models, cellular automata (interacting particle systems), tessellations and distance models.
Ecology has contributed to agent-based modelling in general by showing how to use agent-based techniques to explain real systems.
Ecologists have used IBMs to understand how dynamics of many real systems arise from traits of individuals and their environment. Two modelling strategies have proven particularly useful. This book presents a comprehensive typology and a comprehensible description of spatiotemporal models used in population dynamics.
The main types included are: reaction-diffusion systems, patch.It reveals that the time delay has a destabilizing effect in the intraguild predation model dynamics and a phenomenon of Hopf bifurcation occurs when the delay increases through a certain threshold.
“ Intraguild predation in the presence of a shared natural enemy,” Ecology 92 X., Wang, W. & Upadhay, R. K. [] “ Spatiotemporal.Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped.
Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation .
