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Sustainable Natural Resource Management

Sustainable Natural Resource Management

Sustainable Natural Resource Management

For Scientists and Engineers
Daniel R. Lynch, Dartmouth College, New Hampshire
May 2009
Hardback
9780521899727
$88.99
USD
Hardback
USD
eBook

    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.

    • Key concepts of sustainability are presented in an analytical framework, with topics including harvest, sustainability, effort, extraction, extinction, consumptive use, riparian rights, etc.
    • Problem sets that apply quantitative tools are found at the end of each chapter, giving students an opportunity to apply the tools they have learned in a variety of natural resource management contexts
    • MATLAB and Excel programs are integrated into the text and are available for download on the book's website, which will enhance understanding and provide further tools for research and professional use
    • Supports ASCE 'Body of Knowledge for the 21st Century' recommendations: 'the 21st Century Civil Engineer must demonstrate: an ability to evaluate the sustainability of engineered systems and services, and of the natural resource base on which they depend; and to design accordingly'

    Product details

    April 2009
    Adobe eBook Reader
    9780511501586
    0 pages
    0kg
    108 b/w illus. 14 tables 151 exercises
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 1. Sterile resources
    • 2. Biomass
    • 3. Stage-structured populations
    • 4. The cohort
    • 5. Water
    • 6. Pollution.
    Resources for
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    Sample Chapter 2
    Size: 229.47 KB
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    Sample Chapter 1
    Size: 551.92 KB
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    Chapter 2
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    Type: application/zip
    Chapter 5
    Size: 326.49 KB
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    Chapter 6
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    Chapter 4
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    Chapter 3
    Size: 97.81 KB
    Type: application/zip
    Chapter 1
    Size: 234.29 KB
    Type: application/zip
      Author
    • Daniel R. Lynch , Dartmouth College, New Hampshire

      Daniel R. Lynch is the MacLean Professor of Engineering Sciences at Dartmouth College and Adjunct Scientist at the Woods Hole Oceanographic Institution. Through the 1990s he served on the Executive Committee of the US GLOBEC Northwest Atlantic Program and co-founded the Gordon Research Conference in Coastal Ocean Modeling. He has published extensively on finite element methods in coastal oceanography and is co-editor of the AGU volume Quantitative Skill Assessment for Coastal Ocean Models and a related volume Skill Assessment for Coupled Physical-Biological Models of Marine Systems published as a special volume of the Journal of Marine Systems. In 2004 he wrote a graduate textbook titled Numerical Solution of Partial Differential Equations for Environmental Scientists and Engineers: A First Practical Course. At Dartmouth's Thayer School Dr Lynch developed the Numerical Methods Laboratory around the theme of interdisciplinary computational engineering. He pursues research at the intersection of advanced computation and large-scale environmental simulation. Current investigations focus on sustainability, natural resources, and professional education.