Spatial Complexity Informatics And Wildlife Conservation
DOWNLOAD
Download Spatial Complexity Informatics And Wildlife Conservation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Spatial Complexity Informatics And Wildlife Conservation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Spatial Complexity Informatics And Wildlife Conservation
DOWNLOAD
Author : Samuel A. Cushman
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-21
Spatial Complexity Informatics And Wildlife Conservation written by Samuel A. Cushman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-21 with Science categories.
As Earth faces the greatest mass extinction in 65 million years, the present is a moment of tremendous foment and emergence in ecological science. With leaps in advances in ecological research and the technical tools available, scientists face the critical task of challenging policymakers and the public to recognize the urgency of our global crisis. This book focuses directly on the interplay between theory, data, and analytical methodology in the rapidly evolving fields of animal ecology, conservation, and management. The mixture of topics of particular current relevance includes landscape ecology, remote sensing, spatial modeling, geostatistics, genomics, and ecological informatics. The greatest interest to the practicing scientist and graduate student will be the synthesis and integration of these topics to provide a composite view of the emerging field of spatial ecological informatics and its applications in research and management.
Predictive Species And Habitat Modeling In Landscape Ecology
DOWNLOAD
Author : C. Ashton Drew
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-25
Predictive Species And Habitat Modeling In Landscape Ecology written by C. Ashton Drew and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Science categories.
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.
Machine Learning For Ecology And Sustainable Natural Resource Management
DOWNLOAD
Author : Grant Humphries
language : en
Publisher: Springer
Release Date : 2018-11-05
Machine Learning For Ecology And Sustainable Natural Resource Management written by Grant Humphries and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-05 with Science categories.
Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.
Reintroduction Of Fish And Wildlife Populations
DOWNLOAD
Author : David S. Jachowski
language : en
Publisher: Univ of California Press
Release Date : 2016-09-13
Reintroduction Of Fish And Wildlife Populations written by David S. Jachowski and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-13 with Nature categories.
Reintroduction of Fish and Wildlife Populations provides a practical step-by-step guide to successfully planning, implementing, and evaluating the reestablishment of animal populations in former habitats or their introduction in new environments. In each chapter, experts in reintroduction biology outline a comprehensive synthesis of core concepts, issues, techniques, and perspectives. This manual and reference supports scientists and managers from fisheries and wildlife professions as they plan reintroductions, initiate releases of individuals, and manage restored populations over time. Covering a broad range of taxonomic groups, ecosystems, and global regions, this edited volume is an essential guide for academics, students, and professionals in natural resource management.
Landscape Genetics
DOWNLOAD
Author : Niko Balkenhol
language : en
Publisher: John Wiley & Sons
Release Date : 2015-11-09
Landscape Genetics written by Niko Balkenhol and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-09 with Science categories.
LANDSCAPE GENETICS: CONCEPTS, METHODS, APPLICATIONS LANDSCAPE GENETICS: CONCEPTS, METHODS, APPLICATIONS Edited by Niko Balkenhol, Samuel A. Cushman, Andrew T. Storfer, Lisette P. Waits Landscape genetics is an exciting and rapidly growing field, melding methods and theory from landscape ecology and population genetics to address some of the most challenging and urgent ecological and evolutionary topics of our time. Landscape genetic approaches now enable researchers to study in detail how environmental complexity in space and time affect gene flow, genetic drift, and local adaptation. However, learning about the concepts and methods underlying the field remains challenging due to the highly interdisciplinary nature of the field, which relies on topics that have traditionally been treated separately in classes and textbooks. In this edited volume, some of the leading experts in landscape genetics provide the first comprehensive introduction to underlying concepts, commonly used methods, and current and future applications of landscape genetics. Consistent with the interdisciplinary nature of the field, the book includes textbook-like 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). Aimed at beginning landscape geneticists and experienced researchers alike, this book will be helpful for all scientists and practitioners interested in learning, teaching, and applying landscape genetics.
River Science
DOWNLOAD
Author : David J. Gilvear
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-02
River Science written by David J. Gilvear and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-02 with Science categories.
River Science is a rapidly developing interdisciplinary field at the interface of the natural sciences, engineering and socio-political sciences. It recognises that the sustainable management of contemporary rivers will increasingly require new ways of characterising them to enable engagement with the diverse range of stakeholders. This volume represents the outcome of research by many of the authors and their colleagues over the last 40 years and demonstrates the integral role that River Science now plays in underpinning our understanding of the functioning of natural ecosystems, and how societal demands and historic changes have affected these systems. The book will inform academics, policy makers and society in general of the benefits of healthy functioning riverine systems, and will increase awareness of the wide range of ecosystem goods and services they provide.
Artificial Intelligence And Animal Ecology
DOWNLOAD
Author : Lidia Ghosh
language : en
Publisher: CRC Press
Release Date : 2025-07-29
Artificial Intelligence And Animal Ecology written by Lidia Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Science categories.
Artificial Intelligence and Animal Ecology: A Review explores the transformative synergy between AI and animal ecology, unveiling how cutting-edge technology is revolutionizing ecological research and conservation. This pioneering book bridges these dynamic fields, demonstrating how AI techniques—such as evolutionary algorithms and optimization methods—both draw inspiration from and advance the study of animal behavior, species interactions, and environmental adaptation. With a strong focus on innovation, it examines groundbreaking AI applications, from bio-inspired algorithms and adaptive learning to breakthroughs in animal communication and behavioral analysis. Readers will gain valuable insights into how AI deciphers complex ecological dynamics, including navigation, vocal communication, and interspecies relationships. The book also addresses ethical considerations, ensuring responsible AI integration in ecological research. More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
Research Paper Rmrs
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1998
Research Paper Rmrs written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Forests and forestry categories.
Hindu Kush Himalaya Watersheds Downhill Landscape Ecology And Conservation Perspectives
DOWNLOAD
Author : Ganga Ram Regmi
language : en
Publisher: Springer Nature
Release Date : 2020-05-04
Hindu Kush Himalaya Watersheds Downhill Landscape Ecology And Conservation Perspectives written by Ganga Ram Regmi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-04 with Science categories.
This book describes the myriad components of the Hindu Kush-Himalaya (HKH) region. The contributors elaborate on challenges, failures, and successes in efforts to conserve the HKH, its indigenous plants and animals, and the watershed that runs from the very roof of the planet via world-rivers to marine estuaries, supporting a human population of some two billion people. Readers will learn how the landforms, animal species and humans of this globally fascinating region are connected, and understand why runoff from snow and ice in the world’s tallest mountains is vital to inhabitants far downstream. The book comprises forty-five chapters organized in five parts. The first section, Landscapes, introduces the mountainous watersheds of the HKH, its weather systems, forests, and the 18 major rivers whose headwaters are here. The second part explores concepts, cultures, and religions, including ethnobiology and indigenous regimes, two thousand years of religious tradition, and the history of scientific and research expeditions. Part Three discusses policy, wildlife conservation management, habitat and biodiversity data, as well as the interaction of animals and humans. The fourth part examines the consequences of development and globalization, from hydrodams, to roads and railroads, to poaching and illegal wildlife trade. This section includes studies of animal species including river dolphins, woodpeckers and hornbills, langurs, snow leopards and more. The concluding section offers perspectives and templates for conservation, sustainability and stability in the HKH, including citizen-science projects and a future challenged by climate change, growing human population, and global conservation decay. A large assemblage of field and landscape photos, combined with eye-witness accounts, presents a 50-year local and wider perspective on the HKH. Also included are advanced digital topics: data sharing, open access, metadata, web portal databases, geographic information systems (GIS) software and machine learning, and data mining concepts all relevant to a modern scientific understanding and sustainable management of the Hindu Kush-Himalaya region. This work is written for scholars, landscape ecologists, naturalists and researchers alike, and it can be especially well-suited for those readers who want to learn in a more holistic fashion about the latest conservation issues.
Ecological Systems
DOWNLOAD
Author : Rik Leemans
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-12
Ecological Systems written by Rik Leemans and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-12 with Science categories.
Earth is home to an estimated 8 million animal species, 600,000 fungi, 300,000 plants, and an undetermined number of microbial species. Of these animal, fungal, and plant species, an estimated 75% have yet to be identified. Moreover, the interactions between these species and their physical environment are known to an even lesser degree. At the same time, the earth’s biota faces the prospect of climate change, which may manifest slowly or extremely rapidly, as well as a human population set to grow by two billion by 2045 from the current seven billion. Given these major ecological changes, we cannot wait for a complete biota data set before assessing, planning, and acting to preserve the ecological balance of the earth. This book provides comprehensive coverage of the scientific and engineering basis of the systems ecology of the earth in 15 detailed, peer-reviewed entries written for a broad audience of undergraduate and graduate students as well as practicing professionals in government, academia, and industry. The methodology presented aims at identifying key interactions and environmental effects, and enabling a systems-level understanding even with our present state of factual knowledge.