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 todays 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 todays 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.
- 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
Papildus informācija
This comprehensive resource provides data-rich case studies focused on complex global environmental issues in four major content areas: water resources; the atmosphere and air quality; ecosystem alteration; and global resources and human needs
| Foreword |
|
vii | |
| Acknowledgment |
|
ix | |
|
Chapter 1 Tools and Skills |
|
|
1 | (112) |
|
|
|
2 | (2) |
|
1.2 Critiquing Statistics You Encounter |
|
|
4 | (8) |
|
1.3 Experimental Design and Sampling |
|
|
12 | (9) |
|
1.4 Describing and Visualizing Data |
|
|
21 | (15) |
|
1.5 Examining Relationships: Correlations |
|
|
36 | (9) |
|
1.6 Testing for Differences Between Means: t-Tests and Analysis of Variance |
|
|
45 | (12) |
|
1.7 Making Predictions: Regression Analyses |
|
|
57 | (5) |
|
|
|
62 | (8) |
|
|
|
70 | (7) |
|
1.10 Ecological Footprints |
|
|
77 | (5) |
|
1.11 Cost-Benefit Analyses |
|
|
82 | (6) |
|
1.12 Environmental Risk Assessments |
|
|
88 | (7) |
|
1.13 Life Cycle Assessments |
|
|
95 | (7) |
|
|
|
102 | (7) |
|
1.15 Communicating Like a Professional |
|
|
109 | (4) |
|
Chapter 2 Global Water Resources |
|
|
113 | (142) |
|
|
|
114 | (11) |
|
2.2 The Everglades: Changing Hydrology |
|
|
125 | (22) |
|
2.3 Mediterranean Sea: One System, Many Stressors |
|
|
147 | (16) |
|
2.4 Gulf of Mexico Dead Zone |
|
|
163 | (21) |
|
2.5 Restoration: A Tale of Two Rivers |
|
|
184 | (15) |
|
|
|
199 | (14) |
|
2.7 Groundwater: What Lies Beneath |
|
|
213 | (23) |
|
2.8 China's Three Gorges Dam: Costs Versus Benefits |
|
|
236 | (19) |
|
Chapter 3 Air Quality and Atmospheric Science |
|
|
255 | (106) |
|
|
|
256 | (11) |
|
|
|
267 | (15) |
|
3.3 Persistent Organic Pollutants (POPs) |
|
|
282 | (16) |
|
3.4 Particulate Matter (PM) Pollution |
|
|
298 | (17) |
|
3.5 Industrial Smokestack Pollution |
|
|
315 | (14) |
|
3.6 Household Air Pollution (HAP) |
|
|
329 | (13) |
|
|
|
342 | (19) |
|
Chapter 4 Human Impacts on the Global Landscape |
|
|
361 | (110) |
|
|
|
362 | (9) |
|
4.2 Bark Beetle Infestation |
|
|
371 | (14) |
|
|
|
385 | (17) |
|
|
|
402 | (21) |
|
|
|
423 | (16) |
|
|
|
439 | (22) |
|
4.7 Genetically Modified Organisms (GMO) |
|
|
461 | (10) |
|
Chapter 5 Looking Ahead to a More Sustainable Future |
|
|
471 | (24) |
|
|
|
472 | (2) |
|
|
|
474 | (4) |
|
5.3 Energy for Electricity |
|
|
478 | (3) |
|
|
|
481 | (2) |
|
|
|
483 | (3) |
|
|
|
486 | (2) |
|
5.7 Curbing Greenhouse Gas Emissions |
|
|
488 | (3) |
|
|
|
491 | (4) |
| Index |
|
495 | |
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. 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 Vermonts 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.
Biežāk uzdotie jautājumi par e-grāmatām