Papers & ReportsCrop Protection2018
Assessing and mitigating simulated population‐level effects of 3 herbicides to a threatened plant: Application of a species‐specific population model of Boltonia decurrens.
Extrapolating from organism‐level endpoints, as generated from standard pesticide toxicity tests, to populations is an important step in threatened and endangered species risk assessments. We apply a population model for a threatened herbaceous plant species, Boltonia decurrens, to estimate the potential population‐level impacts of 3 herbicides. We combine conservative exposure scenarios with dose–response relationships for growth and survival of standard test species and apply those in the species‐specific model. Exposure profiles applied in the B. decurrens model were estimated using exposure modeling approaches. Spray buffer zones were simulated by using corresponding exposure profiles, and their effectiveness at mitigating simulated effects on the plant populations was assessed with the model. From simulated exposure effects scenarios that affect plant populations, the present results suggest that B. decurrens populations may be more sensitive to exposures from herbicide spray drift affecting vegetative stages than from runoff affecting early seedling survival and growth. Spray application buffer zones were shown to be effective at reducing effects on simulated populations. Our case study demonstrates how species‐specific population models can be applied in pesticide risk assessment to bring organism‐level endpoints, exposure assumptions, and species characteristics together in an ecologically relevant context. Environ Toxicol Chem 2018;9999:1–11. © 2018 SETAC
Schmolke, A. , Brain, R. , Thorbek, P. , Perkins, D. and Forbes, V. (2018), Assessing and mitigating simulated population‐level effects of 3 herbicides to a threatened plant: Application of a species‐specific population model of Boltonia decurrens. Environ Toxicol Chem.
Papers & ReportsCrop Protection2017
Population modeling for pesticide risk assessment of threatened species—A case study of a terrestrial plant, Boltonia decurrens
Although population models are recognized as necessary tools in the ecological risk assessment of pesticides, particularly for species listed under the Endangered Species Act, their application in this context is currently limited to very few cases. The authors developed a detailed, individual‐based population model for a threatened plant species, the decurrent false aster (Boltonia decurrens), for application in pesticide risk assessment. Floods and competition with other plant species are known factors that drive the species’ population dynamics and were included in the model approach. The authors use the model to compare the population‐level effects of 5 toxicity surrogates applied to B. decurrens under varying environmental conditions. The model results suggest that the environmental conditions under which herbicide applications occur may have a higher impact on populations than organism‐level sensitivities to an herbicide within a realistic range. Indirect effects may be as important as the direct effects of herbicide applications by shifting competition strength if competing species have different sensitivities to the herbicide. The model approach provides a case study for population‐level risk assessments of listed species. Population‐level effects of herbicides can be assessed in a realistic and species‐specific context, and uncertainties can be addressed explicitly. The authors discuss how their approach can inform the future development and application of modeling for population‐level risk assessments of listed species, and ecological risk assessment in general. Environ Toxicol Chem 2017;36:480–491.
Schmolke, A. , Brain, R. , Thorbek, P. , Perkins, D. and Forbes, V. (2017), Population modeling for pesticide risk assessment of threatened species—A case study of a terrestrial plant, Boltonia decurrens. Environ Toxicol Chem, 36: 480-491.
Papers & ReportsCrop Protection2017
Developing population models: A systematic approach for pesticide risk assessment using herbaceous plants as an example
Population models are used as tools in species management and conservation and are increasingly recognized as important tools in pesticide risk assessments. A wide variety of population model applications and resources on modeling techniques, evaluation and documentation can be found in the literature. In this paper, we add to these resources by introducing a systematic, transparent approach to developing population models. The decision guide that we propose is intended to help model developers systematically address data availability for their purpose and the steps that need to be taken in any model development. The resulting conceptual model includes the necessary complexity to address the model purpose on the basis of current understanding and available data.
We provide specific guidance for the development of population models for herbaceous plant species in pesticide risk assessment and demonstrate the approach with an example of a conceptual model developed following the decision guide for herbicide risk assessment of Mead’s milkweed (Asclepias meadii), a species listed as threatened under the US Endangered Species Act. The decision guide specific to herbaceous plants demonstrates the details, but the general approach can be adapted for other species groups and management objectives.
Population models provide a tool to link population-level dynamics, species and habitat characteristics as well as information about stressors in a single approach. Developing such models in a systematic, transparent way will increase their applicability and credibility, reduce development efforts, and result in models that are readily available for use in species management and risk assessments.
Amelie Schmolke, Katherine E. Kapo, Pamela Rueda-Cediel, Pernille Thorbek, Richard Brain, Valery Forbes. 2017. Developing population models: A systematic approach for pesticide risk assessment using herbaceous plants as an example, Science of The Total Environment, Volumes 599–600, 1929-1938, https://doi.org/10.1016/j.scitotenv.2017.05.116
Understanding the Fate of Chemicals in Land Applied Materials Using Multi-Scale Field Studies
SETAC Session Title: Pharmaceuticals in the Environment: Potential Environmental and Human Health Impacts
Presentation Date: Thursday November 16, 2017
Presentation Time: 8:20 PM
Location: Session Room 101AJ
Contaminants of emerging concern (including pharmaceuticals) are often reported in aquatic monitoring studies. A direct pathway into the environment is via discharge into rivers, if not fully removed during wastewater treatment. However, for some substances, a large fraction may be removed in the wastewater treatment process in the form of sludge. An additional pathway can occur when the sludge is land-applied as biosolids, with movement to surface water if overland runoff or erosion occurs. To understand the potential environmental exposure resulting from runoff or erosion of biosolids, field scale runoff studies real-world provide exposure data. The direct measurement of runoff and erosion under controlled field settings can be used to inform exposure modeling, to explore mitigation evaluation, and ultimately refine estimated environmental concentration calculations. Multi-plot small-scale runoff studies (ft2) can rapidly test multiple application and vegetation scenarios under simulated rainfall. These studies can also integrate a variety of soil and slope conditions. Larger landscape scale runoff studies (ft2 to acres) assess greater variability and may incorporate subunit environmental fate investigations. Studies at this larger scale are designed to utilize simulated or natural rainfall. Both small- and large-scale study designs produce total and flow dependent mass loading data to assess the fraction of applied chemical which is transported under defined conditions. Watershed scale runoff studies (acres to mi2) are designed to evaluate broader land use and the effect on surface water quality. Stream loading, hydrologic, and land use data are generated to fully understand the impacts that temporally or spatially distributed environmental variables may have on results. The time scale for these monitoring studies span from sub-day to multi-year. Although runoff studies conducted under USEPA Good Laboratory Practice Standards have been used for many years to support pesticide risk assessment, these types of studies can be readily applied to measure transport and fate of any land applied chemical for ultimate use in environmental risk assessment.
Les Carver, Jennifer Trask, Nathan Snyder, Greg Goodwin, Megan Cox and Daniel Perkins (Waterborne Environmental). Understanding the Fate of Chemicals in Land Applied Materials Using Multi-Scale Field Studies. Platform SETAC 2017. Minneapolis, MN.
Prospective Aquatic Risk Assessment for Mixed Land Use Catchments: A Tool to Combine Multi-Source Chemical Emissions Over Time
SETAC Session Title: Improving the Environmental Assessment of Complex Composition Substances and Mixtures for Chemicals Management
Presentation Date: Thursday November 16, 2017
Presentation Time: 3:40 PM
Location: Session Room 101BI
In 2015, a SETAC Pellston® workshop was held to help inform decision making around aquatic mixture risk assessments of chemicals using exposure scenarios for agricultural, domestic, and urban scenarios. Prospective emissions of 37 chemicals were estimated and combined into daily mixture profiles over a 10-year period. The mixture risk assessment looked at daily individual substance risk quotients (RQs) and multiple substance ∑RQ (assuming concentration addition), along with implementation of the Maximum Cumulative Ratio (MCR) approach. Risk was examined at the bottom of a hypothetical catchment containing a changeable configuration of sub-catchments defined by three land use types (agricultural, city [domestic + urban], natural). An underlying spreadsheet-based model was developed to integrate daily loadings of individual chemicals from each sub-catchment, combined with a simplified hydrologic model, to produce a time series of mixture profiles at the catchment outlet. Catchment configuration is changed by varying the placement, type and number of sub-catchments in the system. Model results show a high spatio-temporal variability of individual chemical concentrations and their mixtures based on catchment configuration. Even constant emissions of household chemicals showed variability in concentration related to river flow driven by rain events. The outcome of the overall Pellston study demonstrated that a scenario-based approach can be used to determine whether mixtures of chemicals pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures (and dominant chemicals) cause greatest concern. In this talk focusing on the underlying catchment model, mixture risk results for different catchment configurations will be presented.
Christopher Holmes (Waterborne Environmental), Colin Brown (University of York), Dick De Zwart (Mermayde), Jerome Diamond (Tetra Tech), Scott Dyer (The Procter & Gamble Company), Stuart Marshall (Unilever), Leo Posthuma (RIVM; Radboud University). Prospective Aquatic Risk Assessment for Mixed Land Use Catchments: A Tool to Combine Multi-Source Chemical Emissions Over Time. Platform SETAC 2017. Minneapolis, MN.
Using Population Models to Gain Insights into Direct and Indirect Effects of Pesticides on Listed Fish Populations
SETAC Session Title: Ecosystem Services, Stakeholder Values, and Sustainability
Poster Date: Thursday November 16, 2017
Location: Exhibit Hall
The U.S. Endangered Species Act has the goal of protecting the continued existence and diversity of species as part of the natural heritage of the nation. The law recognizes this ecosystem service provided by endangered species that may be valued for cultural, aesthetic, recreational or other reasons. The protection goal for listed species is generally the long-term survival and recovery of species populations. Ecological models provide a tool to evaluate this protection goal as part of the total services provided by an ecosystem. We present a population model for the threatened Slackwater darter (Etheostoma boschungi) to identify stressors and assess levels of stress that may affect population decline. The model describes Slackwater darter population trends by considering indirect effects of stressors on the food web and food availability. Using readily available information in the published scientific literature, we incorporated relationships between reduced food availability and body size, survival, and fecundity in fish into the Slackwater darter model. We analyzed exposure-effects relationships of a pesticide with the model to estimate exposure levels that could cause long-term effects on population growth and abundance. Further, we assessed the applicability of the modeling approach to a second listed fish species to explore the application of a species-specific model to related species with similar life histories. By combining information on life history and direct and indirect effects, population models can provide a valuable tool to assess potential risks of pesticides to populations of listed and other non-target species over ecologically relevant time periods.
Amelie Schmolke, Brian Kearns, Colleen Moloney, Katherine Kapo, Matthew Kern (Waterborne Environmental), Alan Samel (DuPont), Valery Forbes (University of Minnesota), Aldos Barefoot (DuPont). Using Population Models to Gain Insights into Direct and Indirect Effects of Pesticides on Listed Fish Populations. Platform SETAC 2017. Minneapolis, MN.
Population Model for the Mead’s Milkweed: A Tool for Pesticide Risk Assessment for a Threatened Plant
SETAC Session Title: Aquatic and Terrestrial Plants in Ecotoxicology and Risk Assessment
Presentation Date: Thursday November 16, 2017
Presentation Time: 8:40 AM
Location: Session Room 200BC
Population models can address the potential impacts of pesticides on populations or species rather than individuals, and have been identified as necessary tools for pesticide risk assessment of species listed under the Endangered Species Act (ESA). Few examples of population models developed for this specific purpose are found in the scientific literature, especially population models addressing potential risks of pesticides to listed plants. We present a population model for Mead’s milkweed (Asclepias meadii), a species listed as threatened under the ESA throughout its range across the Midwestern US, as an example of a long-lived and slow-reproducing herbaceous plant species. With the model, we test different herbicide dose-response curves as derived from standard test species to assess a range of realistic organism-level responses and their relationships to population-level outcomes. We combine assumptions about organism-level toxicity of the herbicides with realistic exposure scenarios over extended time periods. Population dynamics and abundances over time with and without exposure to herbicides are compared. With the population model of the listed milkweed, we can estimate potential effects of herbicides to populations which represent an ecologically relevant endpoint for risk assessments. Scenarios relating to the toxicity of pesticides to the species, spatial and temporal exposure patterns, and assumptions about other stressors affecting populations of the species can be assessed. To assess hypothetical mitigation scenarios, buffers (i.e. setback herbicide spraying distances from species locations) are imposed within the model in order to evaluate their corresponding influence on population metrics as a function of distance.
Amelie Schmolke (Waterborne Environmental), Richard Brain (Syngenta), Valery Forbes (University of Minnesota). Population Model for the Mead’s Milkweed: A Tool for Pesticide Risk Assessment for a Threatened Plant. Platform SETAC 2017. Minneapolis, MN.
PresentationsAgriculture and Food2017
Prospective Methods for Characterizing Likelihood of Pollinator Protection Resulting from Programmatic Conservation Initiatives
SETAC Session Title: Assessing the Role of Contaminants in the Decline of Prairie Complex Pollinators
Presentation Date: Tuesday November 14, 2017
Presentation Time: 10:40 AM
Location: Session Room 101AJ
Over 4,000 species of native bees are responsible for crop pollination activity in the United States, the majority in solitary nests. County-, State-, and Federal-scale initiatives and programs have been put in motion toward programmatic protection of pollinators. Programmatic initiatives tend to focus on habitat creation, preservation, or restoration and should be accounted for in conservation efforts to protect pollinator species. These habitat initiatives may be a simple means to rapidly respond to pressures to implement protection measures, but may be less impactful or less appropriate for certain species of pollinators than others. A methodology for evaluating programmatic conservation initiatives and associated impact on pollinator protection is warranted and would require more specific identification of species that are the recipients of protection. The specific characteristics and requirements of the identified species should be addressed. Difficult and important discussions about cost-benefit and likelihood of protection success may be more fruitful if a common methodology is followed. We present preliminary methods that benchmark characteristics of land use change/management and pollinator life history features through programmatic conservation initiatives that yield the most benefit for pollinator protection. Land use change, prompted by potential conservation efforts, is systematically compared to focal species’ requirements according to their life history traits and habitat requirements. As an example, we use the Rusty Patched Bumble Bee (Bombus affinis), a species recent listed as endangered, as a test case for benchmarking potential protection through the introduction of different conservation initiatives, such as creation of conservation reserve program land, pollinator corridor creation, cover crops, and integrated pest management.
Daniel Perkins (Waterborne Environmental), Amelie Schmolke (Waterborne Environmental), Farah Abi-Akar (Waterborne Environmental), Andrew Jacobson (Waterborne Environmental). Prospective Methods for Characterizing Likelihood of Pollinator Protection Resulting from Programmatic Conservation Initiatives. Platform SETAC 2017. Minneapolis, MN.
Developing Population Models for Pesticide Risk Assessment: A Systematic Approach Using the Example of Herbaceous Plants
SETAC Session Title: 21st Century Approaches for Capturing Diversity in Species Sensitivity to Chemicals
Presentation Date: Monday November 13th, 2017
Presentation Time: 10:40 AM
Location: Auditorium 1
The sensitivity of populations to stresses from chemical exposure is not linearly related to sensitivities of individuals, but depend on a species’ life history, population dynamics, and various other factors. Population models provide a means to assess stressors in the context of population-level dynamics, species and habitat characteristics. They are increasingly recognized as important tools in pesticide risk assessment and were recently identified as essential for endangered species assessment in the U.S. However, few population models for this specific purpose have been developed to date. Developing such models in a systematic and transparent way would increase their applicability and credibility and reduce development efforts.
We present a systematic and transparent approach to developing population models. The guidance informs the model developer on necessary steps that consider the specific questions to be addressed by the model through four phases. In the first phase, the model developer systematically reviews details of the model objectives. Data available for the modeled species and stressor(s) are compiled in table format during the second phase. Starting with a conceptual model of the species’ life history in the third phase, seven decision steps guide the model developer through decisions on what and how details should be represented in the model based on the model objectives and data availability. Decision steps may need to be revisited iteratively during the third phase. In the fourth phase, the model developer compiles a summary of the conceptual model including any underlying assumptions. Uncertainties arising from data and model assumptions are also explicitly characterized. We provide an example decision guide for the development of population models of herbaceous plants applied in pesticide risk assessment. We emphasize how different species’ characteristics are represented in population models, and how they can inform species-specific chemical risk assessment. The adaptation of the approach to developing population models for other taxonomic groups and applications will be discussed.
Amelie Schmolke (Waterborne Environmental), Katherine Kapo (Waterborne Environmental), Pamela Rueda-Cediel (University of Minnesota), Pernille Thorbek (Syngenta), Richard Brain (Syngenta), Valery Forbes (University of Minnesota). Developing Population Models for Pesticide Risk Assessment: A Systematic Approach Using the Example of Herbaceous Plants. Platform SETAC 2017. Minneapolis, MN.
Prospective Risk Assessment for Mixtures of Agricultural Chemicals in Surface Water: Results of Two Case Studies
In 2015, a SETAC Pellston workshop was held to help inform decision making around aquatic mixture risk assessments of chemicals using exposure scenarios. The efforts were grouped into three areas of chemical origination: agriculture, domestic, and urban influences. The agricultural land use combined effect measures with exposure scenarios of chemical mixtures for field and catchment-scale using procedures that are recognized and used in regulatory schemes in the U.S., Europe and other parts of the world. Chemicals modeled were those used in crop protection and livestock production, and were considered to occur as mixtures (in time and space). These assessments considered inputs from spray drift, surface runoff and erosion on a daily basis. Case studies included a single unit scenario modeled as a wheat field in the UK, consisting of crop protection applications of 13 substances annually over the course of 20 years. This scenario used standard FOCUS soil, weather and receiving water body information for consistency with regulatory assessments. A second case study of a multi-unit catchment scenario consisted of a combination of corn fields, pasture, and feedlot inputs based in part on the US EPA Iowa corn scenario used in pesticide registration evaluations. Manure from treated cattle containing two pharmaceutical substances was applied to corn fields as fertilizer, and also originated from pastured cattle. Twelve different active substances for crop protection were modeled. A mixture risk assessment looked daily individual substance risk quotients (RQs) and multiple substance ∑RQ, along with implementation of the Maximum Cumulative Ratio (MCR) approach. When assessed on the basis of Tier 1 effects data using the most sensitive of three taxonomic groups and assuming concentration addition, potential risk from individual chemicals and mixtures (even in cases when no single substance triggered risk, i.e., MCR Group III) was quantified in magnitude and duration. Consideration of the sensitivity of individual different taxa in a Tier II assessment reduced the reported risk from chemical mixtures in both case studies. Results demonstrate that a prospective scenario-based approach can be used to determine the potential for mixtures of chemicals to pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures produced greatest concern.
Christopher Holmes (Waterborne Environmental), Mick Hamer (Syngenta), Colin Brown (University of York), Russell Jones (Bayer CropScience), Lorraine Maltby (The University of Sheffield), Eric Silberhorn (CVM/USDA), Jerold Teeter (Elanco Animal Health), Michael Warne (Queensland Government), Lennart Weltje (BASF). Prospective Risk Assessment for Mixtures of Agricultural Chemicals in Surface Water: Results of Two Case Studies. Platform ACS 2017. Washington DC.