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Modeling Spatiotemporal Dynamics in Ecology

1998
Modeling Spatiotemporal Dynamics in Ecology

Author: Jordi Bascompte

Publisher: Springer

ISBN: STANFORD:36105020114562

Category: Mathematics

Page: 262

View: 365

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Throughout its history, ecology has largely been a descriptive science. Scientists are in need of a theoretical framework that will assist in the understanding of observed patterns, and will serve as a predictive tool. Since ecological systems are dynamic and spatially extended, it is particularly important to understand the processes underlying spatiotemporal patterns. This book reviews one of the newest and 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.

Spatiotemporal Patterns in Ecology and Epidemiology

2007-12-26
Spatiotemporal Patterns in Ecology and Epidemiology

Author: Horst Malchow

Publisher: CRC Press

ISBN: 9781482286137

Category: Mathematics

Page: 464

View: 585

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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:

The Spatial and Temporal Dynamics of Host-Parasitoid Interactions

2000-06-08
The Spatial and Temporal Dynamics of Host-Parasitoid Interactions

Author: Michael Hassell

Publisher: OUP Oxford

ISBN: 9780191588402

Category: Science

Page: 208

View: 898

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This book examines our current understanding of the population dynamics of one kind of interaction - that between insect parasitoids and their hosts. Parasitoids are amongst the most abundant of all animals, and make up about 10% or more of metazoan species. Almost no insect species escape their attack. Host-parasitoid interactions were first modelled over fifty years ago, but for many years there was little good empirical information on the important factors that affect host and parasitoid populations. The models were very simple, and their predictions rather divorced from the complexity of what was visible in the field. Now, better data is available on many components of host-parasitoid systems, from field observations and laboratory and field experiments, and this allows a much closer correspondence between models and data. In particular, the past twenty years have seen major advances in our understanding of how host-parasitoid interactions are influenced by spatial processes, by age-structure effects, and by competition from additional host and parasitoid species. The result is a body of theory that makes direct contact with real systems in the field, and provides us with a detailed understanding of what underpins a whole area of population dynamics. In this book, Michael P Hassell pulls the theory and field data together to present an elegant illustration of the way in which ecological studies advance.

Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

2014-12-08
Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

Author: Dongmei Chen

Publisher: John Wiley & Sons

ISBN: 9781118629918

Category: Medical

Page: 496

View: 269

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Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis Given the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features mathematical and spatial modeling approaches that integrate applications from various fields such as geo-computation and simulation, spatial analytics, mathematics, statistics, epidemiology, and health policy. In addition, the book captures the latest advances in the use of geographic information system (GIS), global positioning system (GPS), and other location-based technologies in the spatial and temporal study of infectious diseases. Highlighting the current practices and methodology via various infectious disease studies, Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features: Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes Examples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases is an excellent resource for researchers and scientists who use, manage, or analyze infectious disease data, need to learn various traditional and advanced analytical methods and modeling techniques, and become aware of different issues and challenges related to infectious disease modeling and simulation. The book is also a useful textbook and/or supplement for upper-undergraduate and graduate-level courses in bioinformatics, biostatistics, public health and policy, and epidemiology.

Self-Organization in Complex Ecosystems. (MPB-42)

2012-01-06
Self-Organization in Complex Ecosystems. (MPB-42)

Author: Ricard Solé

Publisher: Princeton University Press

ISBN: 9781400842933

Category: Science

Page: 384

View: 275

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Can physics be an appropriate framework for the understanding of ecological science? Most ecologists would probably agree that there is little relation between the complexity of natural ecosystems and the simplicity of any example derived from Newtonian physics. Though ecologists have long been interested in concepts originally developed by statistical physicists and later applied to explain everything from why stock markets crash to why rivers develop particular branching patterns, applying such concepts to ecosystems has remained a challenge. Self-Organization in Complex Ecosystems is the first book to clearly synthesize what we have learned about the usefulness of tools from statistical physics in ecology. Ricard Solé and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the structure of ecosystems, at least at some scales? They offer the most compelling array of theoretical evidence to date of the potential of nonlinear ecological interactions to generate nonrandom, self-organized patterns at all levels. Tackling classic ecological questions--from population dynamics to biodiversity to macroevolution--the book's novel presentation of theories and data shows the power of statistical physics and complexity in ecology. Self-Organization in Complex Ecosystems will be a staple resource for years to come for ecologists interested in complex systems theory as well as mathematicians and physicists interested in ecology.

Modelling Environmental Dynamics

2008-07-16
Modelling Environmental Dynamics

Author: Martin Paegelow

Publisher: Springer Science & Business Media

ISBN: 9783540684985

Category: Science

Page: 390

View: 870

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Modelling environmental dynamics is critical to understanding and predicting the evolution of the environment in response to the large number of influences including urbanisation, climate change and deforestation. Simulation and modelling provide support for decision making in environmental management. The first chapter introduces terminology and provides an overview of methodological modelling approaches which may be applied to environmental and complex dynamics. Based on this introduction this book illustrates various models applied to a large variety of themes: deforestation in tropical regions, fire risk, natural reforestation in European mountains, agriculture, biodiversity, urbanism, climate change and land management for decision support, etc. These case studies, provided by a large international spectrum of researchers and presented in a uniform structure, focus particularly on methods and model validation so that this book is not only aimed at researchers and graduates but also at professionals.

A Changing World

2007-03-16
A Changing World

Author: Felix Kienast

Publisher: Springer Science & Business Media

ISBN: 9781402044366

Category: Science

Page: 296

View: 367

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Modern landscape research uses a panoply of techniques to further our understanding of our changing world, including mathematics, statistics and advanced simulation techniques to combine empirical observations with known theories. This book identifies emerging fields and new challenges that are discussed within the framework of the ‘driving forces’ of Landscape Development. the book addresses all of the ‘hot topics’ in this important area of study and emphasizes major contemporary trends in these fields.

Metapopulation Ecology

1999-03-18
Metapopulation Ecology

Author: Ilkka Hanski

Publisher: Oxford University Press

ISBN: 0198540655

Category: Nature

Page: 332

View: 595

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Written by a world renowned biologist, this volume offers a comprehensive synthesis of current research in this rapidly expanding area of population biology. It covers both the essential theory and a wide range of empirical studies, including the author's groundbreaking work on the Glanville fritillary butterfly. It also includes practical applications to conservation biology. The book describes theoretical models for metapopulation dynamics in highly fragmented landscapes and emphasizes spatially realistic models. It presents the incidence function model and includes several detailed examples of its application. Accessible to advanced undergraduate and graduate students, Metapopulation Ecology will be a valuable resource for researchers in population biology, conservation biology, and landscape ecology.

Spatiotemporal Models of Population and Community Dynamics

1998
Spatiotemporal Models of Population and Community Dynamics

Author: T. Czaran

Publisher: Springer Science & Business Media

ISBN: 0412575507

Category: Science

Page: 312

View: 982

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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. The models are introduced through examples and with informative verbal explanations to help understanding. Some of the cellular automation examples are models not yet published elsewhere. Possible extensions of certain model types are suggested.

Encyclopedia of Geography

2010-09-21
Encyclopedia of Geography

Author: Barney Warf

Publisher: SAGE Publications

ISBN: 9781452265179

Category: Science

Page: 3560

View: 310

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Simply stated, geography studies the locations of things and the explanations that underlie spatial distributions. Profound forces at work throughout the world have made geographical knowledge increasingly important for understanding numerous human dilemmas and our capacities to address them. With more than 1,200 entries, the Encyclopedia of Geography reflects how the growth of geography has propelled a demand for intermediaries between the abstract language of academia and the ordinary language of everyday life. The six volumes of this encyclopedia encapsulate a diverse array of topics to offer a comprehensive and useful summary of the state of the discipline in the early 21st century. Key Features Gives a concise historical sketch of geography's long, rich, and fascinating history, including human geography, physical geography, and GIS Provides succinct summaries of trends such as globalization, environmental destruction, new geospatial technologies, and cyberspace Decomposes geography into the six broad subject areas: physical geography; human geography; nature and society; methods, models, and GIS; history of geography; and geographer biographies, geographic organizations, and important social movements Provides hundreds of color illustrations and images that lend depth and realism to the text Includes a special map section Key Themes Physical Geography Human Geography Nature and Society Methods, Models, and GIS People, Organizations, and Movements History of Geography This encyclopedia strategically reflects the enormous diversity of the discipline, the multiple meanings of space itself, and the diverse views of geographers. It brings together the diversity of geographical knowledge, making it an invaluable resource for any academic library.

Spatial Modelling in Forest Ecology and Management

2012-12-06
Spatial Modelling in Forest Ecology and Management

Author: Martin Jansen

Publisher: Springer Science & Business Media

ISBN: 9783642561559

Category: Science

Page: 227

View: 317

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At the end of the 1970s, when signs of destabilization of forests became visible in Eu rope on a large scale, it soon became obvious that the syndrome called "forest de cline" was caused by a network of interrelated factors of abiotic and biotic origin. All attempts to explain the wide-spread syndrome by a single cause, and there were many of them, failed or can only be regarded as a single mosaic stone in the network of caus es behind the phenomenon. Forest ecosystems are highly complex natural or quasi natural systems, which exhibit different structures and functions and as a conse quence different resilience to internal or external stresses. Moreover, forest ecosys tems have a long history, which means that former impacts may act as predisposing factors for other stresses. The complexity and the different history of forest ecosys tems are two reasons that make it difficult to assess the actual state and future devel opment of forests. But there are two other reasons: one is the large time scale in which forests react, the other is the idiosyncrasy of the reactions on different sites. Due to the slow reaction and the regional complexity of the abiotic environment of forest ecosys tems, a profound analysis of each site and region is necessary to identify the underly ing causes and driving forces when attempting to overcome the destruction of forest ecosystems.