A5079047087- Wildlife-Road Interactions and Conservation
- Wildlife Ecology and Conservation
- Coastal and Marine Dynamics
- Tropical and Extratropical Cyclones Research
- Flood Risk Assessment and Management
- Public Relations and Crisis Communication
- Rabies epidemiology and control
- Coastal and Marine Management
- Animal Vocal Communication and Behavior
- Disaster Management and Resilience
- Geographic Information Systems Studies
- Primate Behavior and Ecology
- Maritime Ports and Logistics
University of Rhode Island
2020-2024
Louisiana Department of Natural Resources
2020-2022
Wildlife road mortality tends to aggregate spatially at locations commonly referred as hotspots. Predictive models can be used identify appropriate for mitigation measures that reduce mortality. However, the influence of imperfect detection (e.g., false absences) during surveys lead inaccurate or imprecise spatial patterns hotspots and suboptimal implementation measures. In this research, we amphibians reptiles a case study address issues when estimating probability using occupancy modeling....
The emerging economy of Indonesia has triggered rapid infrastructure development that threatens ecological communities, including within protected areas. national parks are renowned for their high levels biodiversity and endemism, yet the impacts road these remains understudied. We conducted mortality surveys along a 21.8-km section paved highway bisects Rawa Aopa Watumohai National Park in Sulawesi, from January to April 2018. documented wildlife carcasses during morning afternoon...
Predicting the consequences of a major coastal storm is increasingly difficult as result global climate change and growing societal dependence on critical infrastructure (CI). Past storms are no longer reliable predictor future weather events, traditional approach to vulnerability assessment presents accumulated loss in largely quantitative terms that lack specificity local emergency managers need develop effective plans mitigation strategies. The Rhode Island Coastal Hazards Modeling...
Abstract Hurricanes and sea level rise pose significant threats to infrastructure critical services (e.g., air travel, water treatment), can hinder sustainable development of major economic sectors tourism, agriculture, international commerce). Planning for a disaster-resilient future requires high-resolution, standardized data. However, few approaches exist identifying, inventorying, quantifying lands at risk from natural hazards. This research presents cost effective, replicable method...
Emergency managers (EMs) need nuanced data that contextualize the local-scale risks and impacts posed by major storm events (e.g. hurricanes nor'easters). Traditional tools available to EMs, such as weather forecasts or surge predictions, do not provide actionable regarding specific local concerns, access emergency vehicles potential communication disruptions. However, new models now have sufficient resolution make informed management at scale. This paper presents a Participatory Action...