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Author: Pierre Dutilleul
Publisher: Cambridge University Press
Published: 2011-05-26
Total Pages: 416
ISBN-13: 0521791278
DOWNLOAD EBOOKOur living environment continuously changes in space and time. This book explains how to capture and assess these changes through the relevant statistical framework. It is a useful guide to students, teachers and researchers in the fields of biology, ecology and environmental science. Codes on the accompanying CD-ROM aid analyses.
Author: Pierre R. L. Dutilleul
Publisher: Cambridge University Press
Published: 2011-05-26
Total Pages: 416
ISBN-13: 9781107400351
DOWNLOAD EBOOKAttempts by ecologists to establish models for predicting the growth of a population or the fluctuations of a natural resource can be confounded by environmental heterogeneity. Spatio-Temporal Heterogeneity explores a range of available statistical methods to help ecologists in the attempt to unravel complexities, demonstrating how to place these changes into an understandable statistical framework. It addresses several key questions, including how to interpret the parameters of statistical models in relation to the biological and environmental realities, how to design a study to collect the best sample data and how to avoid pitfalls in modelling, design, statistical assessment and interpretation. Dutilleul uses a variety of examples to facilitate understanding, from plant ecology, earth and atmospheric sciences, animal biology, forestry and limnology. The accompanying CD-ROM contains MATLAB and SAS codes to aid analyses.
Author: Maria Herberg
Publisher:
Published: 2016
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Jurek Kolasa
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 344
ISBN-13: 1461230624
DOWNLOAD EBOOKAn attractive, promising, and frustrating feature of ecology is its complex ity, both conceptual and observational. Increasing acknowledgment of the importance of scale testifies to the shifting focus in large areas of ecology. In the rush to explore problems of scale, another general aspect of ecolog ical systems has been given less attention. This aspect, equally important, is heterogeneity. Its importance lies in the ubiquity of heterogeneity as a feature of ecological systems and in the number of questions it raises questions to which answers are not readily available. What is heterogeneity? Does it differ from complexity? What dimensions need be considered to evaluate heterogeneity ade quately? Can heterogeneity be measured at various scales? Is heterogeneity apart of organization of ecological systems? How does it change in time and space? What are the causes of heterogeneity and causes of its change? This volume attempts to answer these questions. It is devoted to iden tification of the meaning, range of applications, problems, and methodol ogy associated with the study of heterogeneity. The coverage is thus broad and rich, and the contributing authors have been encouraged to range widely in discussions and reflections. vi Preface The chapters are grouped into themes. The first group focuses on the conceptual foundations (Chapters 1-5). These papers exarnine the meaning of the term, historical developments, and relations to scale. The second theme is modeling population and interspecific interactions in hetero geneous environments (Chapters 6 and 7).
Author: David M. John
Publisher:
Published: 2021-08-05
Total Pages: 897
ISBN-13: 110847800X
DOWNLOAD EBOOKFirst comprehensive guide of its kind, this volume is essential for any study of freshwater algae in the British Isles.
Author: Mark R.T. Dale
Publisher: Cambridge University Press
Published: 2017-11-09
Total Pages: 355
ISBN-13: 110708931X
DOWNLOAD EBOOKThis book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.
Author: Swamini Khurana
Publisher:
Published: 2022*
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKThe subsurface compartment of the Earth's Critical Zone is one of the biggest stores of carbon and nitrogen, and provides habitat for 95% of the global estimates of microbial biomass. These microbes mediate the transformation of carbon and nitrogen in the subsurface. But, their contribution to biogeochemical cycles is not yet estimated on a global scale due to the inaccessibility and the spatio-temporal heterogeneity of the subsurface. The relevance of these sub-scale spatio-temporal heterogeneities with respect to carbon and nitrogen cycling rates is not understood. This in turn affects interpretation of field data and formulation of suitable modelling studies. In this work, I addressed this gap by assessing the effect of spatio-temporal heterogeneities on microbial mediated transformation of carbon and nitrogen using a numerical modeling approach. I set up spatially heterogeneous simulation domains representative of the subsurface and introduced a network of microbial mediated reactions in these domains. I subjected these domains to temporal dynamics. I, then, quantified the impact of spatial heterogeneity on microbial mediated nutrient cycling in the subsurface and quantified the impact of temporal dynamics in the saturated zone of the subsurface. Consolidating the results, I proposed that indicators such as travel time of conservative solutes can be used to identify four types of reactive systems that respond to spatio-temporal heterogeneities in the subsurface: Reaction dominated systems, reaction influenced systems, transport influenced systems and transport dominated systems. The approach used in this thesis is applicable, transferrable, and suitably scalable across different sites. It can, thus, be used to fill a critical gap in the global biogeochemical budgets. It can also assist in forming a predictive understanding of the behavior of heterogeneous reactive systems in temporally dynamic conditions, resulting in secured access to groundwater.
Author: Simon A. Levin
Publisher: Princeton University Press
Published: 2009-07-27
Total Pages: 843
ISBN-13: 1400833027
DOWNLOAD EBOOKThe Princeton Guide to Ecology is a concise, authoritative one-volume reference to the field's major subjects and key concepts. Edited by eminent ecologist Simon Levin, with contributions from an international team of leading ecologists, the book contains more than ninety clear, accurate, and up-to-date articles on the most important topics within seven major areas: autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management. Complete with more than 200 illustrations (including sixteen pages in color), a glossary of key terms, a chronology of milestones in the field, suggestions for further reading on each topic, and an index, this is an essential volume for undergraduate and graduate students, research ecologists, scientists in related fields, policymakers, and anyone else with a serious interest in ecology. Explains key topics in one concise and authoritative volume Features more than ninety articles written by an international team of leading ecologists Contains more than 200 illustrations, including sixteen pages in color Includes glossary, chronology, suggestions for further reading, and index Covers autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management
Author: Shaopeng Zhong
Publisher: Springer Nature
Published: 2022-02-01
Total Pages: 296
ISBN-13: 9811680167
DOWNLOAD EBOOKThis book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
