Science and the Global Environment

Science and the Global Environment

Case Studies for Integrating Science and the Global Environment

1st Edition - September 3, 2016

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  • Authors: Alan McIntosh, Jennifer Pontius
  • eBook ISBN: 9780128018088
  • Paperback ISBN: 9780128017128

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Case Studies for Integrating Science and the Global Environment is designed to help students of the environment and natural resources make the connections between their training in science and math and today’s complex environmental issues. The book provides an opportunity for students to apply important skills, knowledge, and analytical tools to understand, evaluate, and propose solutions to today’s critical environmental issues. The heart of the book includes four major content areas: water resources; the atmosphere and air quality; ecosystem alteration; and global resources and human needs. Each of these sections features in-depth case studies covering a range of issues for each resource, offering rich opportunities to teach how various scientific disciplines help inform the issue at hand. Case studies provide readers with experience in interpreting real data sets and considering alternate explanations for trends shown by the data. This book helps prepare students for careers that require collaboration with stakeholders and co-workers from various disciplines.

Key Features

  • Includes global case studies using real data sets that allow readers to practice interpreting data and evaluating alternative explanations
  • Focuses on critical skills and knowledge, encouraging readers to apply science and math to real world problems
  • Employs a system-based approach, linking air, water, and land resources to help readers understand that cause-effect may be complex and solutions to environmental problems require multiple perspectives
  • Includes special features such as links to video clips of scientists at work, boxed information, a solutions section at the end of each case study, and practice exercises


Upper-level UG/Grad Students in Environmental Science

Table of Contents

  • Forward

    Section I: Tools of the Trade

    Section 1.1: Introduction

    Section 1.2: Thinking Like a Statistician

    Section 1.2.1: Critiquing Statistics You Encounter

    Section 1.2.2: Experimental Design and Sampling

    Section 1.2.3: Describing and Visualizing Data

    Section 1.2.4: Examining Relationships: Correlations

    Section 1.2.5: Exploring Differences: t-tests and ANOVA’s

    Section 1.2.6: Making Predictions: Regression Analyses

    Section 1.2.7: Making it Count: Working with Frequencies and the 2 Test

    Section 1.3: Common Environmental Science Applications

    Section 1.3.1: Carbon Footprints

    Section 1.3.2: Ecological Footprints

    Section 1.3.3: Cost Benefit Analyses

    Section 1.3.4: Environmental Risk Assessments

    Section 1.3.5: Life Cycle Assessments

    Section 1.3.6: Geospatial Analyses

    Section 1.3.7: Communicating Like a Professional

    Section II: Global Water Resources

    Section 2.1: Introduction

    Case Study 2.2: The Everglades: Changing Hydrology

    Case Study 2.3: Mediterranean Sea: One system, many stressors

    Case Study 2.4: Gulf of Mexico: Dead Zone

    Case Study 2.5: Restoration: A Tale of Two Rivers

    Case Study 2.6: Ocean Acidification

    Case Study 2.7: Ground Water: What Lies Beneath

    Case Study 2.8: China’s Three Gorges Dam: Costs vs. Benefits

    Section III: Air Quality and Atmospheric Science

    Section 3.1: Introduction

    Case Study 3.2: Ozone Depletion

    Case Study 3.3: Persistent Organic Pollutants (POPs)

    Case Study 3.4: Particulate Matter Pollution (PM)

    Case Study 3.5: Industrial Smokestack Pollution

    Case Study 3.6: Household Air Pollution (HAP)

    Case Study 3.7: Climate Change

    Section IV: Human Impacts on the Global Landscape

    Section 4.1: Introduction

    Case Study 4.2: Bark Beetle Infestation

    Case Study 4.3: Alberta’s Tar Sands

    Case Study 4.4: Desertification

    Case Study 4.5: The Amazon Rain Forests

    Case Study 4.6: Electronic Waste (e-waste)

    Case Study 4.7: Genetically Modified Organisms (GMOs)

    Section V: Looking Ahead

Product details

  • No. of pages: 514
  • Language: English
  • Copyright: © Elsevier 2016
  • Published: September 3, 2016
  • Imprint: Elsevier
  • eBook ISBN: 9780128018088
  • Paperback ISBN: 9780128017128

About the Authors

Alan McIntosh

Rubenstein School of Environment and Natural Resources, University of Vermont. After receiving his PhD in limnology at Michigan State University, Professor McIntosh taught at Purdue University and Rutgers University before joining the Rubenstein School at the University of Vermont. He chaired the Environmental Sciences major in the Rubenstein School from 1995 until 2013 and taught a number of environmental courses, including the introductory environmental science course each semester during that period. His research interests focused on the fate and effects of toxic contaminants in freshwater ecosystems. He has authored a number of scholarly publications in his area of expertise.

Affiliations and Expertise

Professor Emeritus, Rubenstein School of Environment and Natural Resources, Universty of Vermont, USA

Jennifer Pontius

Professor Pontius is a research ecologist with the US Forest Service Northern Research Station and a Research Assistant Professor of remote sensing and statistics at the University of Vermont. In addition to examining the role of climate in forest ecosystem structure and function, Dr. Pontius is the Director of the Vermont Monitoring Cooperative, a network of over 150 environmental professionals dedicated to the sustainable management of Vermont’s forest ecosystems. Her focus is on bridging the gap between science and management through novel tools and techniques such as geospatial analysis, structured decision frameworks, and statistical models.

Affiliations and Expertise

Research Ecologist, US Forest Service, Northern Research Station, Research Assistant, Rubenstein School of Environment and Natural Resources, University of Vermont, USA

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  • Emily Tue May 05 2020

    Awesome Statistics Textbook!

    This textbook was a wonderful aid to my understanding of statistics and how it is used for environmental research. The authors use everyday language that can be understood by undergrads/grads of all career interests. This book should be used for all environmental statistics courses!

  • uvm s. Sun May 06 2018

    Very Useful

    I mainly used this book for the overview of statistics in the first few chapters. It is very clear and explains concepts simply but thoroughly and with detail.

  • Will Fri May 04 2018

    Very Helpful and Easy to Understand

    This book was assigned reading for a stats course that I took. Very easy to understand and accessible. For a stats book I think it was great. I'm sure most other stats books really are not helpful.