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After conversation with APHIS I redid my first WRA for Perilla “John, I reviewed your draft assessment to provide you with some feedback. It may or may not be relevant for the meeting, but at least you get a feel for the process. Based on the evidence you have provided (not necessarily your answers) I…
I have completed what I can find in the way of primary documentation long with the use of USFS Fact Sheet. The APHIS WRA was easier for me to do, though of course, APHIS would like a little more primary documentation, After this assessment with Perilla I think APHIS works well with unknown new species,…
As you can see I am learning more than I ever thought there was to know about this species. This is partial bibliography at best
Added the uncertainty column this time; did not look up all the citations that I could have to support many of the answers – took a little less than two hours. I think I could get this down to 1.5 hours with practice
My first asserssment; took about 3 hours more or less; the answers took about 10 minutes; the research citations took the balance of the time
APHIS WRA spreadsheet; does not include uncertaibty or distribution modules; see note from APHIS Koop
APHIS WRA document with term and definition discussion
The definition is extended to include uncertainty and completeness, and the use of Bayes’ theorem is described in this connection. The definition is used to discuss the notions of “relative risk,” “relativity of risk,” and “acceptability of risk.”
For the establishment/spread and impact risk scores, we report an index of uncertainty that describes the overall level of uncertainty associated with that risk element. The index ranges from zero to one, where a one corresponds to maximum uncertainty (i.e., all questions answered as unknown). The index considers the uncertainty rating given by the analyst…
In this document, we assess the weed risk potential of five plant species using Plant Protection and Quarantine’s (PPQ) weed risk assessment guidelines (PPQ, 2009). The weed risk assessment (WRA) process and the predictive model utilized are consistent with the general guidance provided by international and North American standards for risk assessment (IPPC, 2009: ISPM…
Overview Presented at The Annual South Dakota Weeds & Pests Conference Rapid City, South Dakota F b 23 24 Expect The Best 1 February 23-24, 2012
We selected 204 non-invaders, minor-invaders, and major-invaders to develop and validate the new model, and compare its performance to the Australian model using the same set of species. Performing better than the Australian model, our new model accurately identified 94.1% of major-invaders and 97.1% of non-invaders, without committing any false positives or false negatives. The…
Recently developed, our WRA tool was designed to evaluate the risk potential of plants prior to U.S. introduction and plants that have recently established in the U.S. Thus, you can think of it as a predictive screening tool. But it could also be used to help managers prioritize weed species for management. The platform for…
Section VI: ROLE OF COMMITTEE OFFICIALS ISAC officials consist of the Chair, Vice-Chair, Secretary, as well as the Designated Federal Official (DFO). By accepting the positions, ISAC officers agree to: Resolve logistical and administrative issues (e.g., formal document production, review and approval.) Assure adherence to meeting procedures/rules of conduct. “Moderate” discussions to…
We hypothesized that people might be forming implicit assumptions to deal with the ambiguity resulting from the incomplete information in the problem, and that some assumptions might lead them to deviate from normative predictions. We embedded the Ellsberg problem in various scenarios that made one source of ambiguity (i.e., the implied distribution of the unknown…
protocol for categorizing nonnative plants according to their negative impacts on biodiversity in a large area such as a state, nation, or ecological region. Our objective was to provide a tool that makes the process of identifying, categorizing, and listing nonnative plants that cause negative impacts to biodiversity analytic, transparent, and equitable and that yields…
Alaska is beginning to experience increased non-native plant establishment, spread, and devaluation of its lands. In response to this increasing threat, we developed a ranking system to evaluate the potential invasiveness and impacts of non-native plants to natural areas in Alaska. This ranking system is designed to be a robust, transparent, and repeatable procedure to…