Natural resources conservation is one of the dilemmas currently facing mankind in both developed and the developing world. The topic is of particular importance for the latter, where the majority depend on terrestrial ecosystems for livelihood; more than one billion people live in abject poverty earning less than a dollar per day; more than 3.7 billion suffer from micronutrient deficiency and more than 800 million suffer from chronic hunger. Population increase, resource use conflicts, technological advancements, climate change, political doldrums, and unsustainable use and harvesting of resources have all put more pressure on natural resources leading to land degradation and poverty. To achieve a win-win situation, we need to change our mindset by thinking outside the box through advocating integrated and holistic approaches in managing our natural resources. This book presents a variety of sustainable strategies and/or approaches including use of GIS and Remote Sensing technologies, decision support system models, involvement of stakeholders in major decisions regarding use of natural resources, community level initiatives, and use of surveillance and monitoring mechanisms.

Natural resources support all human productivity. The sustainable management of natural resources is among the preeminent problems of the current century. Sustainability and the implied professional responsibility start here. This book uses applied mathematics familiar to undergraduate engineers and scientists to examine natural resource management and its role in framing sustainability. Renewable and nonrenewable resources are covered, along with living and sterile resources. Examples and applications are drawn from petroleum, fisheries, and water resources. Each chapter contains problems illustrating the material. Simple programs in commonly available packages (Excel, MATLAB) support the text. The material is a natural prelude to more advanced study in ecology, conservation, and population dynamics, as well as engineering and science. The mathematical description is kept within what an undergraduate student in the sciences or engineering would normally be expected to master for natural systems. The purpose is to allow students to confront natural resource problems early in their preparation.

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.

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.

Climate change and conflicts co-exist in many countries with significant welfare and socio-environmental implications. Different approaches are being promoted to adapt and build resilience to these fragilities including the adoption of sustainable farm practices that have the potential to increase agricultural productivity and maintain environmental sustainability. We undertake a systematic review and perform a meta-analysis to understand and synthesize the adoption and impacts of agricultural technologies and natural resource management practices with a special attention to fragile and conflict affected settings. We employ state of the art machine learning methods to enable process and selection of appropriate papers from a universe of over 78,000 papers from leading academic databases. We find that studies on adoption and impact of agricultural technologies and natural resource management practices are highly clustered around Ethiopia and Nigeria. We do not find any studies on Small Island States. We observe a wide array of characteristics that influence adoption of these technologies. Of the over 1400 estimates of determinants collected, majority predict input technologies while very few studies and estimates are found in relation to risk management and mechanisation technologies. Our meta-analysis shows an average effect size of 7 - 9% for the different technologies and practices. For the outcomes: land productivity, food security and household welfare, we obtain effect sizes of 6, 8 and 9% respectively. We do not observe much in terms of publication bias. Both climate and conflict vulnerability not only cause far more food insecurity, poverty, and degradation of the environment on their own but also reinforce each other through the climate change – conflict linkage. For these detrimental effects to be curtailed, utilisation of climate-smart agricultural technologies and natural resource management practices need to be encouraged. We thus lend credence to the development, dissemination and upscaling of these sustainable practices. We observe a lot of space for growth and adoption of these technologies.

This book develops the Sustainable Governance Approach and the principles of Community-Based Natural Resource Management (CBNRM). It provides practical examples of successes and failures in implementation, and lessons about the economics and governance of wild resources with global application. CBNRM emerged in the 1980s, encouraging greater local participation to conserve and manage natural and wild resources in the face of increasing encroachment by agricultural and other forms of land use development. This book describes the institutional history of wildlife and the empirical transformation of the wildlife sector on private and communal land, particularly in southern Africa, to develop an alternative paradigm for governing wild resources. With the twin goals of addressing poverty and resource degradation in the world’s extensive agriculturally marginal areas, the author conceptualises this paradigm as the Sustainable Governance Approach, which integrates theories of proprietorship and rights, prices and economics, governance and scale, and adaptive learning. The author then discusses and defines CBNRM, a major subset of this approach. Interweaving theory and practice, he shows that the primary challenges facing CBNRM are the devolution of rights from the centre to marginal communities and the governance of these rights by communities, a challenge which is seldom recognised or addressed. He focuses on this shortcoming, extending and operationalising institutional theory, including Ostrom’s principles of collective action, within the context of cross-scale governance. Based on the author’s extensive experience this book will be key reading for students of natural resource management, sustainable land use, community forestry, conservation, and development. Providing practical but theoretically robust tools for implementing CBNRM it will also appeal to professionals and practitioners working in communities and in conservation and development.

Intended for aspiring and new practitioners of Participatory Research and Development (PR&D) as well as field-based researchers in developing countries. Highlights that agricultural research and development has become a joint approach to deal with diverse biophysical environments, multiple livelihood goals, rapid changes in local and global economies, and an expanded range for stakeholders over agriculture and natural resources.

Natural resources not only contribute to overall growth of the economy but also help reduce poverty by providing employment and food security to populations on the continent, and is thus the most inclusive growth sector of the economy of Asian countries. Global weather and climate studies are also increasingly being considered a vital source of information to understand the earth’s environment, in particular in the framework of weather and climate studies, land use transformation and human influence across these areas. Satellite earth observing systems provide a unique tool to monitor these changes. This book includes significant and up to date contributions in the field of sustainable natural resources conservation across the globe. While the range of applications and innovative techniques is constantly increasing, this book provides a summary of key case studies where satellite data offers critical information to help understand the causes and effects of those environmental changes, allowing us to reflect on how to minimize their negative impacts. This book is of interest to researchers and practitioners in the field of remote sensing, geographical information, meteorology, and environmental sciences. Scientists and graduate to post-graduate-level students in environmental science will also find valuable information in this book.