Machine Learning For Ecology And Sustainable Natural Resource Management
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Machine Learning For Ecology And Sustainable Natural Resource Management
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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.
Sustainable Squirrel Conservation
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Author : Moriz Steiner
language : en
Publisher: Springer Nature
Release Date : 2023-06-29
Sustainable Squirrel Conservation written by Moriz Steiner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Science categories.
This book attempts to move the family of squirrels (Sciuridae) out of the shadow of large charismatic mammals and to highlight management failures with the goal of moving towards an improved conservation approach. Particular attention is paid to the influence of taxonomic science on squirrel conservation. In addition, the authors show how human-driven climate change, global change and modern politics are shaping global squirrel populations as well as their surrounding environments and ecosystems. Squirrels are widespread around the globe, naturally occurring on every continent except Antarctica and Oceania, and they are certainly among the animals most commonly encountered in everyday life. Despite this, the authors of this volume identify worrying gaps in squirrel conservation. Squirrels are often hunted, trapped, poached, and stressed, and management strategies and legislation are often devised in the absence of proper knowledge of issues such as population sizes, taxonomies, and trends. Together, this can result in severe population declines and even species extinction. By assessing their taxonomic situation, ecology, the evolution and divergence of Sciuridae around the globe, and squirrels’ well-being across habitats, the authors set a baseline from which to launch future investigations into the conservation of squirrels and other species. Additionally, the authors highlight the influences of climate change, unsustainable growth, and various man-made threats to the future of this family.
Deep Learning For Earth Observation And Climate Monitoring
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Author : Uzair Aslam Bhatti
language : en
Publisher: Elsevier
Release Date : 2025-03-19
Deep Learning For Earth Observation And Climate Monitoring written by Uzair Aslam Bhatti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Science categories.
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. - Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptability - Includes both learning representations and unsupervised deep learning, covering deep learning picture fusion, regression, parameter retrieval, forecasting, and interpolation from a practical standpoint - Provides a number of physics-aware deep learning models, including the code and the parameterization of models on a companion website, as well as links to relevant data repositories, allowing readers to test techniques themselves
Climate Impacts On Sustainable Natural Resource Management
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Author : Pavan Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-01
Climate Impacts On Sustainable Natural Resource Management written by Pavan Kumar 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 2021-12-01 with Political Science categories.
CLIMATE IMPACTS ON SUSTAINABLE NATURAL RESOURCE MANAGEMENT Climate change has emerged as one of the predominant global concerns of the 21st century. Statistics show that the average surface temperature of the Earth has increased by about 1.18°C since the late 19th century and the sea levels are rising due to the melting of glaciers. Further rise in the global temperature will have dire consequences for the survival of humans on the planet Earth. There is a need to monitor climatic data and associated drivers of changes to develop sustainable planning. The anthropogenic activities that are linked to climate change need scientific evaluation and must be curtailed before it is too late. This book contributes significantly in the field of sustainable natural resource management linked to climate change. Up to date research findings from developing and developed countries like India, Indonesia, Japan, Malaysia, Sri Lanka and the USA have been presented through selected case studies covering different thematic areas. The book has been organised into six major themes of sustainable natural resource management, determinants of forest productivity, agriculture and climate change, water resource management and riverine health, climate change threat on natural resources, and linkages between natural resources and biotic-abiotic stressors to develop the concept and to present the findings in a way that is useful for a wide range of readers. While the range of applications and innovative techniques is constantly increasing, this book provides a summary of findings to provide the updated information. This book will be of interest to researchers and practitioners in the field of environmental sciences, remote sensing, geographical information system, meteorology, sociology and policy studies related to natural resource management and climate change.
Forest Dynamics And Conservation
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Author : Manoj Kumar
language : en
Publisher: Springer Nature
Release Date : 2022-05-16
Forest Dynamics And Conservation written by Manoj Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Technology & Engineering categories.
This book unveils forestry science and its policy and management that connect past and present understanding of forests. The aggregated knowledge is presented to cover the approaches adopted in studying forest structure, its growth, functioning, and degradation, especially in the context of the surrounding environment. The application of advance computation, instrumentation, and modelling has been elaborated in various chapters. Forest ecosystems are rapidly changing due to forest fires, deforestation, urbanization, climate change, and other natural and anthropogenic drivers. Understanding the dynamics of forest ecosystems requires contemporary methods and measures, utilizing modern tools and big data for developing effective conservation plans. The book also covers discussion on policies for sustainable forestry, agroforestry, environmental governance, socio-ecology, nature-based solutions, and management implication. It is suitable for a wide range of readers working in the field of scientific forestry, policy making, and forest management. In addition, it is a useful material for postgraduate and research students of forestry sciences.
Advances In Ai For Cloud Edge And Mobile Computing Applications
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Author : Shrikaant Kulkarni
language : en
Publisher: CRC Press
Release Date : 2025-07-08
Advances In Ai For Cloud Edge And Mobile Computing Applications written by Shrikaant Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.
This new book presents some exciting advances in AI applications, highlighting trends and innovations in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience. First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an AI bazaar, the use of anomaly detection in AI in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in state-of-the-art edge AI services, along with problems that may be confronted during the application and execution of computing services. The chapters discuss AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management and natural resource management.
Sustainable Governance Of Natural Resources
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Author : Ulrich Frey
language : en
Publisher: Oxford University Press
Release Date : 2020-09-01
Sustainable Governance Of Natural Resources written by Ulrich Frey and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Nature categories.
What can be done to ensure natural resources aren't exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey's system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.
Tree Kangaroos
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-11-26
Tree Kangaroos written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Nature categories.
Tree Kangaroos: Science and Conservation, a volume in the Biodiversity of the World: Conservation from Genes to Landscapes series, provides an overview of tree kangaroo species and their relationship with humans. This exciting, interdisciplinary work on tree kangaroo science and conservation is divided into six major sections: (1) tree kangaroo evolution, genetics, taxonomy, ecology, behavior, and conservation status; (2) current and emerging threats to the species; (3) conservation programs in Australia and New Guinea with an emphasis on the human aspect of conservation; (4) the role of zoos in conservation solutions; (5) techniques and technologies to study this elusive marsupial; and (6) what is needed to keep tree kangaroos and their landscapes healthy in the future. The series on Biodiversity of the World: Conservation from Genes to Landscapes includes titles focused on specific species or taxa across disciplinary boundaries and spatial scales—from genes to landscapes. Volumes are edited and written by prominent scholars and practitioners to illuminate and advance biodiversity science and conservation. - Includes coverage of all known tree kangaroo species - Features contributions edited and written by the world's leading researchers and practitioners focusing on these scientifically mysterious marsupials - Provides accessible scientific and general information to a wide audience including students, academics, researchers, conservation professionals, policy makers, business leaders, zoo professionals, health professionals, and people interested in community-based conservation - Presents the current knowledge of tree kangaroos, helping to lay the foundations and best practices for future conservation and research in Australia and New Guinea
Sustainable Governance Of Natural Resources
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Author : Ulrich Frey
language : en
Publisher: Oxford University Press
Release Date : 2020-09-10
Sustainable Governance Of Natural Resources written by Ulrich Frey and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Nature categories.
What can be done to ensure natural resources aren't exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey's system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.
Machine Learning For Sustainable Development
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Author : Kamal Kant Hiran
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-07-19
Machine Learning For Sustainable Development written by Kamal Kant Hiran and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.