Waterborne Expands Population Modeling Capabilities with the Hiring of Amelie Schmolke
We are very pleased to announce that Dr. Amelie Schmolke will joinWaterborne as an ecological population modeler and risk assessor.
Amelie brings many years of experience in applied population modeling which will contribute to the overall strategy and direction of risk assessments at Waterborne. She will be an important part of the development and incorporation of population and ecosystem modeling into current and future assessments with endangered species and non-listed species (e.g. pollinators). As the emphasis on population-scale evaluations increase, a primary focus of Amelie’s work will be the practical application of models in a tiered risk assessment framework.
Since her time as a graduate student at University of Tübingen in Germany, where she earned her Ph.D. in 2005, Amelie has applied modeling approaches in various contexts. At the Helmholtz-Centre for Environmental Research (Leipzig, Germany), she was involved in the development of the TRACE documentation framework for models in environmental decision making and served as project manager of the EU network CREAM (Mechanistic Effect Models for Ecological Risk Assessment of Chemicals, http://cream-itn.eu). Her research has included work on polarization vision of honey bees, ant foraging ecology, gopher tortoise management, and the pesticide risk assessment of threatened and endangered plant species. She has held research positions at the University of Arizona, the Helmholtz-Centre for Environmental Research (Leipzig, Germany), and Michigan State University. Most recently, she has worked with Dr. Valery Forbes at the Universities of Nebraska and Minnesota.
We are proud to welcome Amelie to the Waterborne team and excited for the depth she adds to our expertise in ecological risk assessment. Please reach out to Katherine Kapo, Matt Kern or Dan Perkins if you want more information or have interest in this area.
Kowal VA, Schmolke A, Kanagaraj R, Bruggeman D (2014). Resource selection probability function for Gopher Tortoise: providing a management tool applicable across the species’ range. Environmental Management 53: 594-605
Galic N, Hengeveld GM, van den Brink P, Schmolke A, Thorbek P, Bruns E, Baveco HM (2013). Persistence of aquatic insects across managed landscapes: effects of landscape permeability on recolonization and population recovery. PLOS One 8: e54584
Galic N, Schmolke A, Forbes V, Baveco H, van den Brink P (2011). The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems. Science of the Total Environment 415: 93-100
Schmolke A, Thorbek P, DeAngelis DL & Grimm V (2010). Ecological models supporting environmental decision making: a strategy for the future. Trends in Ecology & Evolution 25: 479-486.
Schmolke A, Thorbek P, Chapman P & Grimm V (2010). Ecological models and pesticide risk assessment: current modeling practice. Environmental Toxicology & Chemistry 29: 1006-1012
Schmolke A (2009). Benefits of dispersed central place foraging: an individual based model of a polydomous ant colony. The American Naturalist 173: 772-778.