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Sustainable Natural Resource Management

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Release : 2009-03-02
Genre : Business & Economics
Kind : eBook
Book Rating : 729/5 ( reviews)

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Book Synopsis Sustainable Natural Resource Management by : Daniel R. Lynch

Download or read book Sustainable Natural Resource Management written by Daniel R. Lynch. This book was released on 2009-03-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Sustainability in Natural Resources Management and Land Planning

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Release : 2021-08-06
Genre : Science
Kind : eBook
Book Rating : 241/5 ( reviews)

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Book Synopsis Sustainability in Natural Resources Management and Land Planning by : Walter Leal Filho

Download or read book Sustainability in Natural Resources Management and Land Planning written by Walter Leal Filho. This book was released on 2021-08-06. Available in PDF, EPUB and Kindle. Book excerpt: This book includes contributions from scientists and representatives from government and non-governmental organisations working in the field of land management and use and on management of fires. The book is truly interdisciplinary and has both a research and application-oriented dimension. The list of topics includes sustainability and water management; sustainability and biodiversity conservation; the future sustainability of nature-based industries such as agriculture, mining, tourism, fisheries and forestry; sustainability, people and livelihoods; sustainability and landscapes planning; sustainability and land use planning; handling and managing forest fires. The papers are innovative and cross-cutting, and many have practice-based experiences. Also, this book, prepared by the Inter-University Sustainable Development Research Programme (IUSDRP) and the World Sustainable Development Research and Transfer Centre (WSD-RTC), reiterates the need to promote a sustainable use of land resources today.

Managing Natural Resources for Sustainable Livelihoods

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Author :
Release : 2003
Genre : Nature
Kind : eBook
Book Rating : 255/5 ( reviews)

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Book Synopsis Managing Natural Resources for Sustainable Livelihoods by : Barry Pound

Download or read book Managing Natural Resources for Sustainable Livelihoods written by Barry Pound. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2003. Routledge is an imprint of Taylor & Francis, an informa company.

Natural Resources

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Author :
Release : 2019-06-14
Genre : Nature
Kind : eBook
Book Rating : 448/5 ( reviews)

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Book Synopsis Natural Resources by : Brantley Kelley

Download or read book Natural Resources written by Brantley Kelley. This book was released on 2019-06-14. Available in PDF, EPUB and Kindle. Book excerpt: Natural resource management refers to the management of the utilization of natural resources like water, land, plants and animals with a focus on ensuring the sustainability of life in the present and in the future. It is also concerned with the management of the interaction between people and natural landscapes. Water management, suitable land utilization planning and biodiversity conservation are generally integrated with industrial activities of agriculture, forestry, fisheries, mining and tourism, to ensure sustainable management. A change in the hydrological cycles, ecological cycles, climate, plants and geography, etc. has far-reaching and long-term impacts. Natural resource management is achieved through the multiple approaches of top-down, adaptive management, precautionary approach, community-based natural resource management and integrated natural resource management. This book elucidates the concepts and innovative models around prospective developments with respect to natural resource management. It is compiled in such a manner, that it will provide in-depth knowledge about the theories and practices of effective natural resource management. It is a complete source of knowledge on the present status of this important field.

Machine Learning for Ecology and Sustainable Natural Resource Management

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Release : 2018-11-05
Genre : Science
Kind : eBook
Book Rating : 781/5 ( reviews)

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Book Synopsis Machine Learning for Ecology and Sustainable Natural Resource Management by : Grant Humphries

Download or read book Machine Learning for Ecology and Sustainable Natural Resource Management written by Grant Humphries. This book was released on 2018-11-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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