Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Connie A. Burdick is active.

Publication


Featured researches published by Connie A. Burdick.


Molecular Ecology | 2006

Establishment of transgenic herbicide‐resistant creeping bentgrass (Agrostis stolonifera L.) in nonagronomic habitats

Jay R. Reichman; Lidia S. Watrud; E. Henry Lee; Connie A. Burdick; Mike Bollman; Marjorie J. Storm; George A. King; Carol A. Mallory-Smith

Concerns about genetically modified (GM) crops include transgene flow to compatible wild species and unintended ecological consequences of potential transgene introgression. However, there has been little empirical documentation of establishment and distribution of transgenic plants in wild populations. We present herein the first evidence for escape of transgenes into wild plant populations within the USA; glyphosate‐resistant creeping bentgrass (Agrostis stolonifera L.) plants expressing CP4 EPSPS transgenes were found outside of cultivation area in central Oregon. Resident populations of three compatible Agrostis species were sampled in nonagronomic habitats outside the Oregon Department of Agriculture control area designated for test production of glyphosate‐resistant creeping bentgrass. CP4 EPSPS protein and the corresponding transgene were found in nine A. stolonifera plants screened from 20 400 samples (0.04 ± 0.01% SE). CP4 EPSPS‐positive plants were located predominantly in mesic habitats downwind and up to 3.8 km beyond the control area perimeter; two plants were found within the USDA Crooked River National Grassland. Spatial distribution and parentage of transgenic plants (as confirmed by analyses of nuclear ITS and chloroplast matK gene trees) suggest that establishment resulted from both pollen‐mediated intraspecific hybridizations and from crop seed dispersal. These results demonstrate that transgene flow from short‐term production can result in establishment of transgenic plants at multi‐kilometre distances from GM source fields or plants. Selective pressure from direct application or drift of glyphosate herbicide could enhance introgression of CP4 EPSPS transgenes and additional establishment. Obligatory outcrossing and vegetative spread could further contribute to persistence of CP4 EPSPS transgenes in wild Agrostis populations, both in the presence or absence of herbicide selection.


PLOS ONE | 2011

The Establishment of Genetically Engineered Canola Populations in the U.S.

Meredith G. Schafer; Andrew A. Ross; Jason P. Londo; Connie A. Burdick; E. Henry Lee; Steven E. Travers; Peter Van De Water; Cynthia L. Sagers

Concerns regarding the commercial release of genetically engineered (GE) crops include naturalization, introgression to sexually compatible relatives and the transfer of beneficial traits to native and weedy species through hybridization. To date there have been few documented reports of escape leading some researchers to question the environmental risks of biotech products. In this study we conducted a systematic roadside survey of canola (Brassica napus) populations growing outside of cultivation in North Dakota, USA, the dominant canola growing region in the U.S. We document the presence of two escaped, transgenic genotypes, as well as non-GE canola, and provide evidence of novel combinations of transgenic forms in the wild. Our results demonstrate that feral populations are large and widespread. Moreover, flowering times of escaped populations, as well as the fertile condition of the majority of collections suggest that these populations are established and persistent outside of cultivation.


Ecological Applications | 2007

FOREST DYNAMICS IN OREGON LANDSCAPES: EVALUATION AND APPLICATION OF AN INDIVIDUAL-BASED MODEL

Richard T. Busing; Allen M. Solomon; Robert B. McKane; Connie A. Burdick

The FORCLIM model of forest dynamics was tested against field survey data for its ability to simulate basal area and composition of old forests across broad climatic gradients in western Oregon, USA. The model was also tested for its ability to capture successional trends in ecoregions of the west Cascade Range. It was then applied to simulate present and future (1990-2050) forest landscape dynamics of a watershed in the west Cascades. Various regimes of climate change and harvesting in the watershed were considered in the landscape application. The model was able to capture much of the variation in forest basal area and composition in western Oregon even though temperature and precipitation were the only inputs that were varied among simulated sites. The measured decline in total basal area from tall coastal forests eastward to interior steppe was matched by simulations. Changes in simulated forest dominants also approximated those in the actual data. Simulated abundances of a few minor species did not match actual abundances, however. Subsequent projections of climate change and harvest effects in a west Cascades landscape indicated no change in forest dominance as of 2050. Yet, climate-driven shifts in the distributions of some species were projected. The simulation of both stand-replacing and partial-stand disturbances across western Oregon improved agreement between simulated and actual data. Simulations with fire as an agent of partial disturbance suggested that frequent fires of low severity can alter forest composition and structure as much or more than severe fires at historic frequencies.


Integrated Environmental Assessment and Management | 2007

Selecting and Evaluating Native Plants for Region-Specific Phytotoxicity Testing

David M. Olszyk; Thomas Pfleeger; E. Henry Lee; Connie A. Burdick; George L. King; Milton Plocher; Jeffrey Kern

ABSTRACT In this study, we evaluated methodology to determine risks to terrestrial native plant species from potential herbicide drift, focusing on 1) selection of native species for testing, 2) growth of these species, and 3) variability in herbicide response among native species and compared with crop plants. Native plant species were selected for initial testing on the basis of spatial analysis, which indicated that species from Illinois, USA, were at potential risk for off-target effects of herbicide drift. On the basis of preliminary seed germination tests, 5 native plant species (Andropogon gerardi, Polygonum lapathifolium, Solidago canadensis, Symphyotrichum lateriflorum, and Tridens flavus) were selected for comparison with crops grown in Illinois, normally used in the US Environmental Protection Agencys (USEPAs) Vegetative Vigor Test (Avena sativa, Daucus carota, Glycine max, Solanum lycopersicon, and Zea mays), or both. When treated with low concentrations of a test herbicide, sulfometuron methyl, 2 native species, P. lapathifolium and S. canadensis, were as sensitive as the 5 crop species. The effective herbicide concentrations producing a 25% reduction in shoot dry weight (EC25) for these species, ranged from 0.00015 to 0.0014 times a field application concentration of 52 g/ha active ingredient of sulfometuron methyl. S. lateriflorum and T. flavus were less sensitive than the other native species, whereas A. gerardi was tolerant to sulfometuron methyl with no growth reduction at any herbicide concentration tested. This study indicated that native species can be successfully selected and grown, used in the suite of species used in the USEPAs phytotoxicity test to assess risks of chemical herbicides to nontarget plants. It also showed (with a limited number of species) that native species varied more in sensitivity to simulated herbicide drift than crop species often used in phytotoxicity testing and that a Weibull function was useful to calculate EC25 values when low concentrations of herbicides was used.


Environmental Toxicology and Chemistry | 2006

Using a geographic information system to identify areas with potential for off-target pesticide exposure

Thomas Pfleeger; David M. Olszyk; Connie A. Burdick; George L. King; Jeffrey Kern; John S. Fletcher

In many countries, numerous tests are required as part of the risk assessment process before chemical registration to protect human health and the environment from unintended effects of chemical releases. Most of these tests are not based on ecological or environmental relevance but, rather, on consistent performance in the laboratory. A conceptual approach based on Geographic Information System (GIS) technology has been developed to identify areas that are vulnerable to nontarget chemical exposure. This GIS-based approach uses wind speed, frequency of those winds, pesticide application rates, and spatial location of agricultural crops to identify areas with the highest potential for pesticide exposure. A test scenario based on an incident in Idaho (USA) was used to identify the relative magnitude of risk from off-target movement of herbicides to plants in the conterminous United States. This analysis indicated that the western portion of the Corn Belt, the central California valley, southeastern Washington, the Willamette Valley of Oregon, and agricultural areas bordering the Great Lakes are among those areas in the United States that appear to have the greatest potential for off-target movement of herbicides via drift. Agricultural areas, such as the Mississippi River Valley and the southeastern United States, appears to have less potential, possibly due to lower average wind speeds. Ecological risk assessments developed for pesticide registration would be improved by using response data from species common to high-risk areas instead of extrapolating test data from species unrelated to those areas with the highest potential for exposure.


Archive | 2009

Evaluating the Role of Habitat Quality on Establishment of GM Agrostis stolonifera Plants in Non-agronomic Settings

Lidia S. Watrud; Mike Bollman; Marjorie J. Storm; George A. King; Jay R. Reichman; Connie A. Burdick; E. Henry Lee

We compared soil chemistry and plant community data at non agronomic mesic locations that either did or did not contain genetically modified (GM) Agrostis stolonifera. The best two-variable logistic regression model included soil Mn content and A. stolonifera cover and explained 90% of the variance in the probability of a site having GM A. stolonifera. Inclusion of NH4 as a third predictor variable increased the variance explained by the logistic model to 100%. Soils at GM locations were characterized by significantly lower (P < 0.05) Mn, A. stolonifera cover, and NH4. Pairwise comparisons indicated that sites in which the GM plants became established had a significantly higher % of bare ground and significantly lower A. stolonifera cover, Mn, organic matter, and carbon (P < 0.05). The pH of soil at GM plant locations varied from 5.9 to 9.5. Our results suggest potential roles of soil disturbance and nutrient status in the establishment of Agrostis in mesic habitats. Additional research is needed to evaluate the ecological consequences of gene flow of GM Agrostis to non-agronomic plant communities.


Proceedings of the National Academy of Sciences of the United States of America | 2004

Evidence for landscape-level, pollen-mediated gene flow from genetically modified creeping bentgrass with CP4 EPSPS as a marker

Lidia S. Watrud; E. Henry Lee; Anne Fairbrother; Connie A. Burdick; Jay R. Reichman; Mike Bollman; Marjorie J. Storm; George L. King; Peter K. Van de Water


Ecological Modelling | 2008

A multi-model framework for simulating wildlife population response to land-use and climate change

Brad H. McRae; Nathan H. Schumaker; Robert B. McKane; Richard T. Busing; Allen M. Solomon; Connie A. Burdick


Agricultural and Forest Meteorology | 2013

The importance of seasonal temperature and moisture patterns on growth of Douglas-fir in western Oregon, USA

Peter A. Beedlow; E. Henry Lee; David T. Tingey; Ronald S. Waschmann; Connie A. Burdick


Ecological Applications | 2007

LONG-DISTANCE GM POLLEN MOVEMENT OF CREEPING BENTGRASS USING MODELED WIND TRAJECTORY ANALYSIS

Peter K. Van de Water; Lidia S. Watrud; E. Henry Lee; Connie A. Burdick; George A. King

Collaboration


Dive into the Connie A. Burdick's collaboration.

Top Co-Authors

Avatar

E. Henry Lee

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar

Lidia S. Watrud

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar

David M. Olszyk

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jay R. Reichman

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar

Mike Bollman

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar

Thomas Pfleeger

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar

Allen M. Solomon

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar

Peter A. Beedlow

United States Environmental Protection Agency

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge