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Featured researches published by Linda Green.


Ecology and Society | 2015

Individual- and community-level impacts of volunteer environmental monitoring: a synthesis of peer-reviewed literature

Kristine Stepenuck; Linda Green

Citizens have long contributed to scientific research about the environment through volunteer environmental monitoring programs. Their participation has also resulted in outcomes for themselves, their communities, and the environment. This research synthesizes 35 peer-reviewed journal articles that reported such outcomes through 2012. This collection of articles was derived from a pool of 436 peer-reviewed journal articles about participatory environmental monitoring. Reported outcomes for participants and communities ranged from increasing personal knowledge and community awareness to changing attitudes and behaviors, building social capital, and ultimately, influencing change in natural resource management and policies. Mixed results were reported in regard to citizen participation in natural resource decision-making processes and in terms of participant knowledge gain. Future research recommendations that address identified knowledge gaps include the following: (1) assessing knowledge beyond the basic content of the subject of monitoring to better address the value of volunteer environmental monitoring as a public participation tool; (2) conducting independent research across programs to enable null or negative outcome reporting, understand commonalities of outcomes across programs, and make linkages between outcomes and program characteristics; (3) carrying out rigorous research that includes data collection and statistical analysis focused on the effectiveness of citizen participation in decision making; (4) assessing the time component of outcome achievement to inform the volunteer monitoring community; and (5) conducting additional research to identify changes in attitudes and behaviors, particularly geared toward minimizing losses in biodiversity and impacts of climate change.


GigaScience | 2017

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes

Patricia A. Soranno; Linda C. Bacon; Michael Beauchene; Karen E. Bednar; Edward G. Bissell; Claire K. Boudreau; Marvin G. Boyer; Mary T. Bremigan; Stephen R. Carpenter; Jamie W. Carr; Kendra Spence Cheruvelil; Samuel T. Christel; Matt Claucherty; Sarah M. Collins; Joseph D. Conroy; John A. Downing; Jed Dukett; C. Emi Fergus; Christopher T. Filstrup; Clara Funk; María J. González; Linda Green; Corinna Gries; John D. Halfman; Stephen K. Hamilton; Paul C. Hanson; Emily Norton Henry; Elizabeth Herron; Celeste Hockings; James R. Jackson

Abstract Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states. LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.


Archive | 2012

Evaluating Your Volunteer Water Quality Monitoring Program

Factsheet Xvi; Jennifer Kushner; Jenna Klink; Kris Stepenuck; Ken Genskow; Elizabeth Herron; Linda Green


Archive | 2011

Supporting Volunteer Water Quality Monitoring Efforts Throughout the USA

Linda Green; Elizabeth Herron; Kristine Stepenuck; Frank Finley; Ken Genskow; Arthur J. Gold


Archive | 2011

Northeast Volunteer Water Quality Monitoring: Collecting Data to Educate Citizens and Aid Decision Making

Elizabeth Herron; Linda Green; Jeff Schloss; Jerry Schoen; Marie-Francoise Walk; Scott Jackson


Archive | 2011

Great Lakes Region Tribal Water Resources Needs and Volunteer Monitoring Perceptions and Activity

Benjamin White; Beau Mitchell; Linda Green; Elizabeth Herron; Patrick Robinson; Kristine Stepenuck; Adam Sigler; Frank Finley


Archive | 2010

Building New Traditions for Volunteer Monitoring Programs - Moving the Extension Volunteer Monitoring Network to the Next Level

Elizabeth Herron; Linda Green; Arthur J. Gold; Kristine Stepenuck; Ken Genskow; Frank Finley


Archive | 2008

SUPPORTING VOLUNTEER MONITORING EFFORTS ACROSS THE COUNTRY

Elizabeth Herron; Linda Green; Kristine Stepenuck; Robin Shepard; Arthur J. Gold


Archive | 2008

2008 USDA-CSREES National Water Conference Sparks, NV Supporting Volunteer Monitoring Efforts Across the Country

Linda Green; Elizabeth Herron; Kristine Stepenuck; Arthur J. Gold; Robin Shepard


Archive | 2008

2008 USDA-CSREES National Water Conference Sparks, NV Putting It All Together - Using Data to Tell the Story

Elizabeth Herron; Linda Green; Kris Stepenuck

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Elizabeth Herron

University of Rhode Island

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Arthur J. Gold

University of Rhode Island

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Ken Genskow

University of Wisconsin-Madison

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C. Emi Fergus

Michigan State University

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Clara Funk

United States Environmental Protection Agency

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Corinna Gries

University of Wisconsin-Madison

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