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See these pages for a description of:
 
See these pages for a description of:
#[[our research questions]]  
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# [[our research questions]]  
#[[current research activities]]
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# [[our models]]  
#[[our models]]  
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# [[our study lakes]]
  
  
=== Our Models ===
 
'''Hydrological Modeling:''' [[Pennsylvania Integrated Hydrological Model]] (PIHM); [[Cycles]] (CropSyst)
 
: ''Leads: Chris Duffy, Armen Kemanian''
 
'''Agricultural Economic Modeling:''' [[Stochastic Dynamic Programming]] (SDP)
 
: ''Lead: Kelly Cobourn''
 
'''Limnological Modeling:''' [[General Lake Model]] (GLM)
 
: ''Leads: Cayelan Carey, Paul Hanson''
 
'''Economic Property Value Modeling:''' [[Hedonic Model]]
 
: ''Lead: Kevin Boyle''
 
'''Collective Action Modeling:''' [[Social Science Model]]
 
: ''Lead: Michael Sorice''
 
'''Scaling up and extrapolation:''' [http://csilimnology.org/ LAke multi-scaled GeOSpatial and temporal database] (LAGOS)
 
: ''Leads: Pat Soranno, Cayelan Carey, Kelly Cobourn''
 
  
=== Our Study Lakes ===
 
Our focal lake catchments for this study are:
 
: '''[[Lake Mendota]]''', Wisconsin
 
: '''[[Lake Sunapee]]''', New Hampshire
 
: '''[[Lake Oneida]]''', New York
 
 
Our collaborators on this project also bring insights to our modeling efforts from their work on:
 
: '''[[Lake Lillinonah]], Connecticut
 
: '''[[Acton Lake]], Ohio
 
 
In addition, the project's scaling up and extrapolation efforts extend our work in these catchments to a broader set of lakes that spans the Upper Midwest, North Central, and North Eastern United States using the [http://csilimnology.org/ LAGOS] database. Our research is also tightly integrated into the Global Lakes Ecological Observatory Network ([http://gleon.org/ GLEON]), an international network of limnologists, ecologists, computer scientists, and information technologists.
 
  
 
=== Our Partnerships with Lake Associations ===
 
=== Our Partnerships with Lake Associations ===

Revision as of 06:30, 6 April 2016

CNH-L: Linking land-use decision making, water quality, and lake associations to understand human-natural feedbacks in lake catchments

A harmful phytoplankton bloom in Lake Mendota, Wisconsin, one of the Virginia Tech project team's study sites. Blooms such as these, which occur throughout most of the summer in Lake Mendota, severely degrade water quality. Photo credit: Cayelan Carey

Worldwide, people benefit greatly from the irreplaceable services provided by freshwater lakes, such as drinking water, recreation, and fisheries. However, human activities in lake catchments contribute to eutrophication and the growth of harmful algal blooms that threaten the very waters upon which people depend. This degradation can generate incentives for behavioral change. For example, lake associations can initiate citizen-driven actions to protect and improve water quality. But will this action come in time? And will it focus on the key drivers of water quality?

This project examines the linkages between land-use decision making, fate-transport of nonpoint source pollution to lakes, lake water quality, the effects of water quality on property values, and the community responses that stimulate changes in land uses. In three lake catchments that vary in the intensity of agriculture, forested land and residential development we build the linkages from land use to water quality to identify the key drivers of lake water quality.

The insights from the three focal catchments will inform the understanding of human-natural system dynamics across thousands of lake catchments spanning the northeastern and midwestern U.S. An understanding of the relationships between and lake water quality and land-use policies will be leveraged to support science-based monitoring, advocacy and volunteerism to develop effective programs to protect and enhance lake water quality.

News & Project Events

Check out the Virginia Tech press release about the project at this link.

Project Information

Our Multidisciplinary Team

This project builds on a strong collaboration among a diverse team of researchers from multiple disciplines and institutions, as well as citizen science groups. Our team's expertise spans the fields of freshwater ecology, environmental and resource economics, hydrology, and social science. Follow this link for a current directory of team members.

Research Objectives and Activities

See these pages for a description of:

  1. our research questions
  2. our models
  3. our study lakes



Our Partnerships with Lake Associations

This project builds on an ongoing collaboration with our Lake Association partners in each of our focal lake catchments. These associations are civic organizations that engage in outreach and education within and among catchment communities. The lead for this portion of the project is Kathleen Weathers. More information on our lake association partners can be found at:

Clean Lakes Alliance
Lake Sunapee Protective Association
Oneida Lake Association

Acknowledgments

This work is supported as a grant from the National Science Foundation, Dynamics of Coupled Natural and Human Systems (CNH) program, award number 1517823.

MediaWiki Pointers

This site is built with the Organic Data Science framework, which is developed using the MediaWiki and Semantic MediaWiki platforms.

Here is a Quick Reference Guide for How to Use This Wiki Site.