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Noelle E. Thompson

Publications and source records attributed to Noelle E. Thompson.

3 recordsLinked to original sources

Modeling localized deer removal strategies for managing chronic wasting disease

We used a published individual-based model to evaluate localized deer removal strategies for managing chronic wasting disease (CWD) in a free-ranging white-tailed deer population in central Michigan, USA. We simulated fine-scale (23.3 km 2 ) deer culling using ring, land parcel-based, and habitat quality-based removal methods. Ring culling consisted of highly concentrated culling in a focal area (e.g., CWD detection area), with effort diminishing as distance away from that location increased. Land parcel-based culling represented a scenario where land access permissions varied across space. Habitat quality-based culling represented intense culling in areas thought to be high-quality deer habitat (thereby likely containing more targets). We also assessed male-targeted strategies for ring and parcel-based methods. We used cost estimates from 2016–2021 in Michigan to calculate total annual localized deer culling expenditures for each removal method. Lastly, we investigated how local conditions, including initial deer density and study area context, affected management outcomes. Chronic wasting disease was less likely to persist in our projections, and prevalence rate was lower, for deer inhabiting a suburban study area compared to an exurban area. All culling methods reduced the probability that CWD would persist and lowered 15-year prevalence in the population compared to no culling. Ring culling near the site of detection (1.6-km instead of 2.4-km radii ring) was most effective at minimizing CWD persistence at medium and high deer densities. However, the ring size most effective at reducing 15-year CWD prevalence depended on study area context and deer densities, with the 2.4-km cull resulting in the lowest prevalence at medium and high deer densities in the suburban study area. At low deer density, parcel-based culling performed best in both study area contexts. Targeting male deer only was consistently less effective at reducing CWD persistence and prevalence and more costly than non-selective deer culling. All culling methods that did not target males had similar total costs for one year of culling in the 23.3-km 2 area, but costs varied considerably based on study area ($5,500–22,100 USD) and deer density ($14,300–25,700). Our model simulations indicated that male-focused culling strategies are less effective and more expensive than non-selective strategies, that ring-based culling is most effective at medium and high deer densities, and that CWD persistence and prevalence in exurban locales are greater compared to suburban locales, regardless of culling strategy.

Michigan↗

Strategic planning of prevention and surveillance for emerging diseases and invasive species

Emerging infectious diseases and biological invasions pose increasing threats to public and ecosystems health. Proactive measures—such as prevention and surveillance taken before initial detection of the pathogen or species—are essential to ensure minimal spread prior to first detection. We developed an optimization model to determine where, when, and how much effort should be allocated to prevention versus surveillance. The model accounts for imperfect detection, system dynamics, spatial heterogeneity in risk and costs and is scalable to large landscapes. We found that the most cost-effective strategy is to maintain the prevention and surveillance efforts at stable equilibrium for the majority of the time, with deviations occurring only initially to steer the system toward the equilibrium. The equilibrium effort is jointly determined by the introduction risk, management costs, and total budget. Application of this model to chronic wasting disease in New York State suggests that the optimal strategy could reduce the cumulative disease cases before initial detection by an average of 22% compared to current practice. The optimal surveillance strategy could detect the disease on average over 8 mo earlier than the current strategy.

PNAS↗

Snake fungal disease in North America: U.S. Geological Survey updates

Snake fungal disease (SFD) results from a skin infection that has been documented only in snakes. Historically, reports of snakes with skin infections of unknown origin have been sporadic. Recently, the number of reported cases of skin infections in snakes has increased substantially. This emerging infectious disease, confirmed in numerous species of snakes, is caused by the fungus Ophidiomyces ophiodiicola . As of August 2017, O. ophiodiicola has been detected in at least 23 States and one Canadian Province. However, researchers suspect that SFD may be more widely distributed than these documented cases suggest, because efforts to monitor the health of many snake populations are limited. Snake fungal disease may also be underreported in populations where it affects snakes infrequently or in species that develop less severe illness. Signs of SFD include crusted or ulcerated scales, nodules (that is, abnormal bumps) under the skin, and facial disfiguration that can be quite severe, leading to emaciation and death. Many snake populations are already in decline due to habitat loss and dwindling prey populations, and the recent emergence of SFD may accelerate this decline, causing certain species to disappear entirely from some locations.

Fact Sheet↗