Models Of The Ecological Hierarchy

In the application of statistics to ecological inference problems, hierarchical models combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are applied in this book to a wide range of problems ranging from the molecular level, through populations, ecosystems, landscapes, networks, through to the global ecosphere. Provides an excellent introduction to modelling Collects together in one source a wide range of modelling techniques Covers a wide range of topics, from the molecular level to the global ecosphere

"Ecosystem" is an intuitively appealing concept to most ecologists, but, in spite of its widespread use, the term remains diffuse and ambiguous. The authors of this book argue that previous attempts to define the concept have been derived from particular viewpoints to the exclusion of others equally possible. They offer instead a more general line of thought based on hierarchy theory. Their contribution should help to counteract the present separation of subdisciplines in ecology and to bring functional and population/community ecologists closer to a common approach. Developed as a way of understanding highly complex organized systems, hierarchy theory has at its center the idea that organization results from differences in process rates. To the authors the theory suggests an objective way of decomposing ecosystems into their component parts. The results thus obtained offer a rewarding method for integrating various schools of ecology.

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site

Mathematical and computational approaches provide powerful tools in the study of problems in population biology and ecosystem science. Recent analytical advances, coupled with the enhanced potential of high-speed computation, have opened up new sights and presented new challenges especially in those fields of ecological theory which met methodological restrictions in the past: For many years scales and hierarchies have been considered an important research topic in ecology. Nevertheless, the prevailing methodological constraints frequently reduced the analysis to conceptual considerations. Conceptual structuring remains to be the primary practical contribution of scale and hierarchy to the development of ecological theory. In this volume we attempt to demonstrate to what extent this is currently changing. The application of models which are capable to represent precisely the relations of different scales and integration levels have made a remarkable progress and let us observe how a wide range of emergent properties can be analysed in the output of ecological models. By linking empirical findings and similar model specifications with the implementation of self-organisation processes on the level of model components, the analytical and synthetic power of modelling can be extended to a new, synergistic level. The contributions of this volume provide background, examples and current results. The volume starts with concept articles, then presents an example of artificial networks, provides papers concerning genetic aspects and ends with articles dealing with botanical features.

The idea for this book grew out of: (1) the realisation that development of the theory of landscape ecology has now reached the point where rigorous field work is required to validate models, test assumptions and ideas of scaling theory, and refine our understanding of landscape features and their delineation; (2) the relative scarcity of compilations that have examined the role of field research or interdisciplinary management applications in advancing the science of landscape ecology; and (3) the increasing amount of information coming out of the Chequamegon Integrated Field Project (CIFP) on relevant topics. This book synthesises the experiences and lessons learned from the CIFP project and other relevant landscape studies in an attempt to demonstrate the utility of field studies and emerging technology to the advancement of the science. This book is organised to synthesise and update knowledge on research topics mentioned previously, with an emphasis on ecological consequences (i.e., implications for ecological function) of the approach to and understanding of these topics across levels of the ecological hierarchy.

Ecosystems are incredibly complex, non-linear structures and self-organized entities; they cannot be described by simple models or by statistical approaches. Within each ecosystem are scores of individuals interacting continuously with others and with their biotic and abiotic surroundings, over vast geographic spaces, and over varying time scales as well. To approach the enormity of this complexity, ecologists have developed tools to simplify and aggregate information, and among them is Hierarchy Theory. Instead of analyzing the whole structure to understand the functions of the system, Hierarchy Theory analyzes hierarchical levels only and the interactions between them. It draws upon two different paradigms of complexity, reductionism and holism, adapting the most useful features of each into a viable means of studying ecosystems. It reduces the amount of data the researcher has to deal with, and it explicitly considers the relevant entities and interconnections of a larger complex system according to a specific research question. Originally published in 1982, Hierarchy was the first book to apply the tool to ecological systems. In the three decades since its publication, the work has influenced myriad large scale research initiatives in ecology, and this new, thoroughly revised edition reflects the assimilation of the theory in ecological research, and its successful application to the understanding of complex systems.

Integrated regional models are conceptual and mathematical models that describe the physical environment, biological interactions, human decision-making, and human impact on the environment. Efforts are now being made to integrate regional models from the physical, biological and social sciences in order to respond to diverse environmental problems. This volume explores the latest research developments on processes operating at a variety of scales, including regions, and how scientists can combine their efforts to develop models linking biological, physical, and human systems. Data requirements for successful integrated regional models are identified and discussed. Chapters also consider methodological questions, such as whether to integrate disciplinary approaches at the beginning or the end of the modelling process, and whether integrated regional models should focus on specific regions or specific problems. The information in this volume will enable the reader to view problems such as coastal zone management, atmospheric pollution, non-point source pollution, commodity production in forested areas, and urban expansion in a broad, conceptual context. Researchers and graduate students in ecology, biology, geography and geology will benefit from this innovative approach to contemporary environmental problems.

The groundbreaking Encyclopedia of Ecology provides an authoritative and comprehensive coverage of the complete field of ecology, from general to applied. It includes over 500 detailed entries, structured to provide the user with complete coverage of the core knowledge, accessed as intuitively as possible, and heavily cross-referenced. Written by an international team of leading experts, this revolutionary encyclopedia will serve as a one-stop-shop to concise, stand-alone articles to be used as a point of entry for undergraduate students, or as a tool for active researchers looking for the latest information in the field. Entries cover a range of topics, including: Behavioral Ecology Ecological Processes Ecological Modeling Ecological Engineering Ecological Indicators Ecological Informatics Ecosystems Ecotoxicology Evolutionary Ecology General Ecology Global Ecology Human Ecology System Ecology The first reference work to cover all aspects of ecology, from basic to applied Over 500 concise, stand-alone articles are written by prominent leaders in the field Article text is supported by full-color photos, drawings, tables, and other visual material Fully indexed and cross referenced with detailed references for further study Writing level is suited to both the expert and non-expert Available electronically on ScienceDirect shortly upon publication