Full TGIF Record # 248286
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Web URL(s):http://www.turf.uconn.edu/pdf/research/reports/2009%20UConn%20Annual%20Turf%20Report.pdf#page=103
    Last checked: 09/10/2014
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Publication Type:
i
Report
Author(s):Ahrens, C. W.; Chung, J.; Meyer, T.; Auer, C.
Title:Characterizing bentgrass distribution with spatial and biological data to support ecological risk assessment in Connecticut
Section:Scientific publications (abstracts & citations)
Other records with the "Scientific publications (abstracts & citations)" Section
Source:2009 Annual Turfgrass Research Report [Connecticut]. 2010, p. 101.
Publishing Information:Storrs, Connecticut: Department of Plant Science and Landscape Architecture, College of Agriculture and Natural Resources, University of Connecticut
# of Pages:1
Keywords:TIC Keywords: Agrostis; Evaluations; Genetic analysis; Geographical distribution; Regional variation; Seed dispersal; Turfgrass profile
Geographic Terms:Connnecticut
Abstract/Contents:"Bentgrasses (Agrostis) are a group of native and non-native grasses found in golf courses, agricultural fields, disturbed sites, roadsides, grasslands and other ecosystems. Gene flow between these widely distributed species complicates the potential commercialization of genetically-modified, herbicide resistant (HR) creeping bentgrass. The escape of HR creeping bentgrass could lead to risks that are difficult to predict such as more destructive land management practices, genetic pollution, increased 'weediness', loss of plant communities, and decreased ecological diversity. This project aims to predict ecological risk by characterizing 1) bentgrass distribution in Connecticut, and 2) the probability that gene flow and seed dispersal will move the HR trait into feral and cultivated bentgrass populations. A landscape-scale 'Habitat Suitability Model' (HSM) is being developed using geospatial information, ecological data, and mathematical modeling (multivariate logistical regression). Researchers visited 290 random plots (100 m2) within the 8.5 square km HSM study site in Bloomfield, Connecticut, and recorded the presence/absence of bentgrass species and other ecological variables. The data is being used to create a mathematical model and map indicating the likelihood that bentgrasses occur in any location. Survey data showed that the presence of bentgrasses was positively correlated with sun exposure. Over 70% percent of the plots with creeping bentgrass and redtop also contained at least one invasive plant species. Sixty one percent of the plots with bentgrasses occurred in managed landscapes such as public parks and utility right-of-ways. The study also showed that bentgrass populations co-occurr with ten state-listed species as noted in the CT Natural Diversity Database. These results indicate that the future commercialization of HR creeping bentgrass could negatively impact management practices for endangered species and invasive plants at the study site. If validated for other sites, the model could become an important tool to support predictive ecological risk assessments and stewardship for genetically-engineered perennial grasses. Other projects are working to characterize ecological risk from HR creeping bentgrass by identifying plant communities at risk, and quantifying the increased fitness of HR creeping bentgrass under herbicide selection pressure. Supported by grants from USDA Biotechnology Risk Assessment Program and the University of Connecticut."
Language:English
References:0
Note:This item is an abstract only!
"2009. Characterizing bentgrass distribution with spatial and biological data to support ecological risk assessment in Connecticut. In Ecological Society of America Abstracts, ESA, Utah."
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Ahrens, C. W., J. Chung, T. Meyer, and C. Auer. 2010. Characterizing bentgrass distribution with spatial and biological data to support ecological risk assessment in Connecticut. Turfgrass Res. Rep. [Connecticut]. p. 101.
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Web URL(s):
http://www.turf.uconn.edu/pdf/research/reports/2009%20UConn%20Annual%20Turf%20Report.pdf#page=103
    Last checked: 09/10/2014
    Requires: PDF Reader
    Notes: Item is within a single large file
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