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.

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.

It is with great pleasure that I present to you the proceedings of our Recent Advances in Management and Engineering held on November 24 – 27, 2023 in Male. Maldives. This conference represents a milestone in our ongoing journey towards academic excellence where we aspire to become a renowned platform for the exchange of ideas, collaboration, networking, and learning. These proceedings contain contributions that are very amazing in innovations in management. It covers a wide range of issues, ranging from the most recent trends in business to innovations in fundamentals of management. A broad collection of scholars, practitioners, and thought leaders from four continents across the world worked together to produce these results, which are a reflection of their combined efforts.

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

This book presents case studies to analyse the relationship between sustainability – environmental, social, institutional and economic – and digital innovation. The respective contributions offer a contextualisation of the main present and future trends concerning these two elements, and present analyses from economic, technical, managerial, and social perspectives alike. The individual sections of the book focus on interactions between sustainability and digital innovation in existing organisations and highlight the new opportunities, challenges and threats that may emerge as a result. The contributions are mainly based on case studies and research conducted in Europe and Africa, with a few focusing on Southeast Asia and Central America, and were prepared by experts in the fields of Information Systems, Computer Science, Social Development, and Economics.

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.

Researchers working on natural resource management issues in human-influenced landscapes need to be able to elicit both biophysical and socio-economic information and explore the interactions between these realms to identify appropriate management options. Biophysical scientists are increasingly interested in researching natural resource management. This, however, requires a sensitivity to the socio-ecological dimensions in a landscape and at least a basic understanding of how to incorporate such in the research designing phase. Natural Resource Management Issues in Human-Influenced Landscapes documents the firsthand research designing experience of prolific researchers for the knowledge of budding researchers, which is not usually shared in journal publications. The chapters showcase cases narrated by the authors about their field experiences and cross-country comparisons. Covering topics such as biodiversity, plant genetic resources, and sustainable production, this premier reference source is an essential resource for ecologists, government officials, students and educators of higher education, librarians, researchers, and academicians.