landscape genetics concepts methods applications

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Landscape Genetics

Author : Niko Balkenhol
ISBN : 9781118525241
Genre : Science
File Size : 52. 55 MB
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Despite the substantial interest in landscape genetics from the scientific community, learning about the concepts and methods underlying the field remains very challenging. The reason for this is the highly interdisciplinary nature of the field, which combines population genetics, landscape ecology, and spatial statistics. These fields have traditionally been treated separately in classes and textbooks, and very few scientists have received the interdisciplinary training necessary to efficiently teach or apply the diversity of techniques encompassed by landscape genetics. To address the current knowledge gap, this book provides the first in depth treatment of landscape genetics in a single volume. Specifically, this book delivers fundamental concepts and methods underlying the field, covering particularly important analytical methods in detail, and presenting empirical and theoretical applications of landscape genetics for a variety of environments and species. Consistent with the interdisciplinary nature of landscape genetics, the book combines an introductory, textbook like section with additional sections on advanced topics and applications that are more typical of edited volumes. The chapter topics and the expertise of the authors and the editorial team make the book a standard reference for anyone interested in landscape genetics. The book includes contributions from many of the leading researchers in landscape genetics. The group of scientists we have assembled has worked on several collaborative projects over the last years, including a large number of peer reviewed papers, several landscape genetics workshops at international conferences, and a distributed graduate seminar on landscape genetics. Based on the experiences gained during these collaborative teaching and research activities, the book includes chapters that synthesize fundamental concepts and methods underlying landscape genetics (Part 1), chapters on advanced topics that deserve a more in depth treatment (Part 2), and chapters illustrating the use of concepts and methods in empirical applications (Part 3). This structure ensures a high usefulness of the book for beginning landscape geneticists and experienced researchers alike, so that it has a broad target audience. At least one of the four co editors is involved in almost every chapter of the book, thereby ensuring a high consistency and coherency among chapters.

Population Genomics

Author : Om P. Rajora
ISBN : 9783030045890
Genre :
File Size : 78. 23 MB
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The Least Cost Path From Landscape Genetics To Landscape Genomics

Author : Samuel A. Cushman
ISBN : 9782889455485
Genre :
File Size : 39. 28 MB
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Ecosystems are the stage on which the play of evolution is acted, and ecosystems are complex, spatially structured and temporally varying. The purpose of this Research Topic is to explore critical challenges and opportunities for the transition from landscape genetics to landscape genomics. Landscape genetics has focused on the spatial analysis of small genetic datasets, typically comprised of less than 20 microsatellite markers, taken from clusters of individuals in putative populations or distributed individuals across landscapes. The recent emergence of large scale genomic datasets produced by next generation sequencing methods poses tremendous challenge and opportunity to the field. Perhaps the greatest is to produce, process, curate, archive and analyze spatially referenced genomic datasets in a way such that research is led by a priori hypotheses regarding how environmental heterogeneity and temporal dynamics interact to affect gene flow and selection. The papers in the Research Topic cover a broad range of topics under this area of focus, from reviews of the emergence of landscape genetics, to best practices in spatial analysis of genetic data. The compilation, like the emerging field itself, is eclectic and illustrates the scope of both the challenges and opportunities of this emerging field.

A Changing World

Author : Felix Kienast
ISBN : 9781402044366
Genre : Science
File Size : 47. 34 MB
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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.

Genetic Epidemiology

Author : Melissa A. Austin
ISBN : 9781780641812
Genre : Medical
File Size : 34. 64 MB
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Genetic epidemiology plays a key role in discovering genetic factors influencing health and disease, and in understanding how genes and environmental risk factors interact. There is growing interest in this field within public health, with the goal of translating the results into promoting health and preventing disease in both families and populations. This textbook provides graduate students with a working knowledge of genetic epidemiology research methods. Following an overview of the field, the book reviews key genetic concepts, provides an update on relevant genomic technology, including genome-wide chips and DNA sequencing, and describes methods for assessing the magnitude of genetic influences on diseases and risk factors. The book focuses on research study designs for discovering disease susceptibility genes, including family-based linkage analysis, candidate gene and genome-side association studies, assessing gene-environment interactions and epistasis, studies of Non-Mendelian inheritance, and statistical analyses of data from these studies. Specific applications of each research method are illustrated using a variety of diseases and risk factors relevant to public health, and useful web-based genetic analysis software, human reference panels, and repositories, that can greatly facilitate this work, are described.

Species Survival In Fragmented Landscapes

Author : J. Settele
ISBN : 9789400903432
Genre : Science
File Size : 37. 26 MB
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The effects of isolation, area size, and habitat quality on the survival of animal and plant populations in the cultural landscape are central aspects of a research project started in Germany in 1993 (,Forschungsverbund, Isolation, FHichengroBe und BiotopquaIiHit', abbreviated to 'FIFB'). After a long period of preparation, scientists from seven univer sities and one research institution started to work within the frame of this project. Fund ing for four years was provided by the former German Federal Ministry of Research and Technology (BMFT), now the Ministry of Education and Research (BMBF). A strong focus of the project has been the improvement of the methodology for environmental impact assessments and the implementation of results into environmental planning. As there is a certain risk that national projects develop some kind of 'mental in breeding', it was decided to discuss concepts, methods, and first results with scientists of international reputation at a rather early stage of the project. For this purpose, an inter national workshop was held in the small village of Lubast, north of Leipzig (state of Saxony) in March 1995. 130 scientists from 10 nations met to discuss and debate issues surrounding habitat fragmentation for three days. Papers presented there formed the basis for this book. As discussions included general reviews as well as particular case studies, we decided to structure this book in a similar way. Consequently, a combination of broad and more general, review-like papers as well as original papers are presented.

Predictive Species And Habitat Modeling In Landscape Ecology

Author : C. Ashton Drew
ISBN : 1441973907
Genre : Science
File Size : 77. 19 MB
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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 early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors’ research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters’ GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.

Nostradamus Modern Methods Of Prediction Modeling And Analysis Of Nonlinear Systems

Author : Ivan Zelinka
ISBN : 9783642332272
Genre : Technology & Engineering
File Size : 67. 88 MB
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This proceeding book of Nostradamus conference (http://nostradamus-conference.org) contains accepted papers presented at this event in 2012. Nostradamus conference was held in the one of the biggest and historic city of Ostrava (the Czech Republic, http://www.ostrava.cz/en), in September 2012. Conference topics are focused on classical as well as modern methods for prediction of dynamical systems with applications in science, engineering and economy. Topics are (but not limited to): prediction by classical and novel methods, predictive control, deterministic chaos and its control, complex systems, modelling and prediction of its dynamics and much more.

Models For Planning Wildlife Conservation In Large Landscapes

Author : Joshua J. Millspaugh
ISBN : UCSD:31822035352244
Genre : Nature
File Size : 81. 22 MB
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Intended to provide a recipe for successful development of wildlife habitat models and their implementation in conservation planning, the book could be used in studying wildlife habitat models, conservation planning, and management techniques. Additionally it may be a supplemental text in courses dealing with quantitative assessment of wildlife populations. Additionally, the length of the book would be ideal for graduate student seminar course. Using wildlife habitat models in conservation planning is of considerable interest to wildlife biologists. With ever tightening budgets for wildlife research and planning activities, there is a growing need to use computer methods. Use of simulation models represents the single best alternative. However, it is imperative that these techniques be described in a single source. Moreover, biologists should be made aware of alternative modeling techniques.-

Foundations Of Genetic Algorithms 2001 Foga 6

Author : Worth Martin
ISBN : 0080506879
Genre : Computers
File Size : 53. 88 MB
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Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. Includes research from academia, government laboratories, and industry Contains high calibre papers which have been extensively reviewed Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field Ideal for researchers in machine learning, specifically those involved with evolutionary computation

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