Crysta A. Gantz
University of Notre Dame
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Featured researches published by Crysta A. Gantz.
Invasive Plant Science and Management | 2008
Doria R. Gordon; Daphne A. Onderdonk; Alison M. Fox; Randall K. Stocker; Crysta A. Gantz
Abstract Screening tools that effectively predict which nonnative species are likely to become invasive are necessary because of the disproportionate ecological and economic costs associated with invaders. We tested the effectiveness of the Australian Weed Risk Assessment system (WRA) in distinguishing plant species that are major invaders, minor invaders, and noninvaders in Florida. The test included 158 annuals and perennials in six growth forms from 52 families in 27 orders. The WRA with a secondary screen met all hypothesized accuracy levels: it correctly rejected 92% of test species that have been documented to be invasive in Florida and correctly accepted 73% of the noninvaders. The incorrect rejection of noninvaders was 8% with the remaining 19% of noninvaders falling into the “evaluate further” outcome. Only 10% of the 158 species required further evaluation. Invaders of natural areas and agricultural systems were identified with equal accuracy. Receiver operating characteristic analysis demonstrated high separation of invaders from noninvaders. The degree to which the WRA is precautionary may be adjusted by altering the cutoff scores that define the “accept, evaluate further,” and “reject” outcomes. This approach could be adopted in Florida as a screening mechanism to reduce importation of new invaders.
Journal of Applied Ecology | 2016
Matthew M. Dougherty; Eric Larson; Mark A. Renshaw; Crysta A. Gantz; Scott P. Egan; Daniel M. Erickson; David M. Lodge
Summary Early detection is invaluable for the cost‐effective control and eradication of invasive species, yet many traditional sampling techniques are ineffective at the low population abundances found at the onset of the invasion process. Environmental DNA (eDNA) is a promising and sensitive tool for early detection of some invasive species, but its efficacy has not yet been evaluated for many taxonomic groups and habitat types. We evaluated the ability of eDNA to detect the invasive rusty crayfish Orconectes rusticus and to reflect patterns of its relative abundance, in upper Midwest, USA, inland lakes. We paired conventional baited trapping as a measure of crayfish relative abundance with water samples for eDNA, which were analysed in the laboratory with a qPCR assay. We modelled detection probability for O. rusticus eDNA using relative abundance and site characteristics as covariates and also tested the relationship between eDNA copy number and O. rusticus relative abundance. We detected O. rusticus eDNA in all lakes where this species was collected by trapping, down to low relative abundances, as well as in two lakes where trap catch was zero. Detection probability of O. rusticus eDNA was well predicted by relative abundance of this species and lake water clarity. However, there was poor correspondence between eDNA copy number and O. rusticus relative abundance estimated by trap catches. Synthesis and applications. Our study demonstrates a field and laboratory protocol for eDNA monitoring of crayfish invasions, with results of statistical models that provide guidance of sampling effort and detection probabilities for researchers in other regions and systems. We propose eDNA be included as a tool in surveillance for invasive or imperilled crayfishes and other benthic arthropods.
Biological Invasions | 2011
Doria R. Gordon; Crysta A. Gantz
Predictive tools for preventing introduction of new species with high probability of becoming invasive in the U.S. must effectively distinguish non-invasive from invasive species. The Australian Weed Risk Assessment system (WRA) has been demonstrated to meet this requirement for terrestrial vascular plants. However, this system weights aquatic plants heavily toward the conclusion of invasiveness. We evaluated the accuracy of the WRA for 149 non-native aquatic species in the U.S., of which 33 are major invaders, 32 are minor invaders and 84 are non-invaders. The WRA predicted that all of the major invaders would be invasive, but also predicted that 83% of the non-invaders would be invasive. Only 1% of the non-invaders were correctly identified and 16% needed further evaluation. The resulting overall accuracy was 33%, dominated by scores for invaders. While the overall accuracy increased to 57% when the points assigned to aquatic life forms were removed, 57% of the non-invaders required further evaluation rather than were identified as having low probability of naturalizing. Discrimination between non-invaders and invaders would require an increase in the threshold score from the standard of 6 for this system to 19. That higher threshold resulted in accurate identification of 89% of the non-invaders and over 75% of the major invaders. Either further testing for definition of the optimal threshold or a separate screening system will be necessary for accurately predicting which freshwater aquatic plants are high risks for becoming invasive.
Hydrobiologia | 2017
Eric Larson; Mark A. Renshaw; Crysta A. Gantz; John Umek; Sudeep Chandra; David M. Lodge; Scott P. Egan
We report results of a study that made reciprocal comparisons of environmental DNA (eDNA) assays for two major invasive crayfishes between their disparate invasive ranges in North America. Specifically, we tested for range expansions of the signal crayfish Pacifastacus leniusculus (Dana, 1852) into the Laurentian Great Lakes region known to be invaded by the rusty crayfish Orconectes rusticus (Girard, 1852), as well as for the invasion of O. rusticus into large lakes of California and Nevada, US known to be invaded by P. leniusculus. We compared eDNA detections to historic localities for O. rusticus within the Great Lakes, and to recent sampling for presence/absence and relative abundance of P. leniusculus in California and Nevada via overnight sets of baited traps. We successfully detected O. rusticus eDNA at six sites from the Great Lakes and P. leniusculus from six of seven lakes where it was known to occur in California and Nevada, but did not detect any range expansions by either species across the North American continent. eDNA appears suitable to detect benthic arthropods from exceptionally large lakes, and will likely be useful in applications for monitoring of new biological invasions into these and other freshwater and marine habitats.
Biological Invasions | 2016
Andrew Tucker; W. Lindsay Chadderton; Christopher L. Jerde; Mark A. Renshaw; Karen Uy; Crysta A. Gantz; Andrew R. Mahon; Anjanette Bowen; Timothy Strakosh; Jonathan M. Bossenbroek; Jennifer L. Sieracki; Dmitry Beletsky; Jennifer L. Bergner; David M. Lodge
Detection of invasive species before or soon after they establish in novel environments is critical to prevent widespread ecological and economic impacts. Environmental DNA (eDNA) surveillance and monitoring is an approach to improve early detection efforts. Here we describe a large-scale conservation application of a quantitative polymerase chain reaction assay with a case study for surveillance of a federally listed nuisance species (Ruffe, Gymnocephalus cernua) in the Laurentian Great Lakes. Using current Ruffe distribution data and predictions of future Ruffe spread derived from a recently developed model of ballast-mediated dispersal in US waters of the Great Lakes, we designed an eDNA surveillance study to target Ruffe at the putative leading edge of the invasion. We report a much more advanced invasion front for Ruffe than has been indicated by conventional surveillance methods and we quantify rates of false negative detections (i.e. failure to detect DNA when it is present in a sample). Our results highlight the important role of eDNA surveillance as a sensitive tool to improve early detection efforts for aquatic invasive species and draw attention to the need for an improved understanding of detection errors. Based on axes that reflect the weight of eDNA evidence of species presence and the likelihood of secondary spread, we suggest a two-dimensional conceptual model that management agencies might find useful in considering responses to eDNA detections.
Biological Invasions | 2018
Crysta A. Gantz; Mark A. Renshaw; Daniel M. Erickson; David M. Lodge; Scott P. Egan
Aquatic invasive plant species cause negative impacts to economies and ecosystems worldwide. Traditional survey methods, while necessary, often do not result in timely detections of aquatic invaders, which can be cryptic, difficult to identify, and exhibit very rapid growth and reproduction rates. Environmental DNA (eDNA) is a relatively new method that has been used to detect multiple types of animals in freshwater and marine ecosystems through tissues naturally shed from the organism into the water column or sediment. While eDNA detection has proven highly effective in the detection of aquatic animals, we know less about the efficacy of eDNA as an effective surveillance tool for aquatic plants. To address this disparity, we designed mesocosm experiments with Elodea species to determine the ability to detect accumulation and degradation of the DNA signal for aquatic plants, followed by field surveillance of the highly invasive Hydrilla verticillata in freshwaters across several U.S. geographic regions. In both lab and field experiments, we designed a high sensitivity quantitative PCR assay to detect the aquatic plant species. In both experiments, plant eDNA detection was successful; we saw accumulation of DNA when plants were introduced to tanks and a decrease in DNA over time after plants were removed. We detected eDNA in the field in areas of known Hydrilla distribution. Employing eDNA detection for aquatic plants will strengthen efforts for early detection and rapid response of invaders in global freshwater ecosystems.
Annual Review of Ecology, Evolution, and Systematics | 2012
David M. Lodge; Andrew M. Deines; Francesca Gherardi; Darren C. J. Yeo; Tracy Arcella; Ashley K. Baldridge; Matthew A. Barnes; W. Lindsay Chadderton; Jeffrey L. Feder; Crysta A. Gantz; Geoffrey W. Howard; Christopher L. Jerde; Brett W. Peters; Jody A. Peters; Lindsey W. Sargent; Cameron R. Turner; Marion E. Wittmann; Yiwen Zeng
Biomass & Bioenergy | 2011
Doria R. Gordon; K.J. Tancig; Daphne A. Onderdonk; Crysta A. Gantz
Diversity and Distributions | 2016
Jennifer G. Howeth; Crysta A. Gantz; Paul L. Angermeier; Emmanuel A. Frimpong; Michael H. Hoff; Reuben P. Keller; Nicholas E. Mandrak; Michael P. Marchetti; Julian D. Olden; Christina M. Romagosa; David M. Lodge
Conservation Letters | 2008
Doria R. Gordon; Crysta A. Gantz