“…Unfortunately, as model complexity increases to allow for more realistic scenarios, so does the variability associated with its predictions. The Pesticide in Water Calculator, a model regularly used to estimate pesticide concentrations in surface and ground water, may predict concentrations that span >10 orders of magnitude using realistic estimates for over 50 parameters (Sinnathamby et al, 2020). As such, stakeholders should be prepared for modeled exposure estimates to span large ranges, and minimal monitoring data for validation.…”
“…Unfortunately, as model complexity increases to allow for more realistic scenarios, so does the variability associated with its predictions. The Pesticide in Water Calculator, a model regularly used to estimate pesticide concentrations in surface and ground water, may predict concentrations that span >10 orders of magnitude using realistic estimates for over 50 parameters (Sinnathamby et al, 2020). As such, stakeholders should be prepared for modeled exposure estimates to span large ranges, and minimal monitoring data for validation.…”
“…Thus, weather patterns including spatial and temporal trends in temperature and precipitation were important in population model development (i.e., in estimation of vital rates). Data collected for population and spatial characteristics included density dependence, population size, metapopulation structure, movement, geographic range and habitat measures (features and classification/suitability) [1,5,8,24,31,32,34,35,[43][44][45][46][47] (see Table S2). Density dependence (e.g., based upon pond volume) was important to consider due to potential impact on fitness [35].…”
Section: Phase 2: Data Collectionmentioning
confidence: 99%
“…For example, climate changes could exacerbate impacts due to chemical exposure if the vernal pools do not get charged as frequently and/or may not stay inundated for as long [50]. Data acquired for chemical exposure includes estimated environmental concentrations from the Pesticide Water Calculator (PWC version 1.59), which has been used to predict temporal trends of organophosphate pesticide concentrations (including diazinon and malathion) in three CA vernal pools based upon exposure duration and representative of nearby crop application [8]. Chemical effects characteristics included representation of toxic effects using standard crustacean surrogates (e.g., Daphnia magna, Thamnocephalus platyurus) and examination of effects by life stage or size as well as exposure route [4,7,8,[15][16][17][18][19][51][52][53][54][55][56][57] (see Table S4).…”
Section: Phase 2: Data Collectionmentioning
confidence: 99%
“…Many vernal pools are in or near agricultural areas, and may be exposed to pesticides via runoff, drift, and direct spray. Pesticides can enter vernal pool systems as wet deposition via rainfall, or as surface water loads from adjacent agricultural lands [8][9][10][11][12]. Using a weight of evidence community-level approach, Raimondo et al (2019) demonstrated that for insecticides, targeting protections to the vernal pool fairy shrimp and its habitat would also afford protections from future effects to the community of listed species and ecosystem services associated with this habitat [4].…”
Vernal pool fairy shrimp, Branchinecta lynchi, is a freshwater crustacean endemic to California and Oregon, including California’s Central Valley. B. lynchi is listed as a Federally Threatened species under the US Endangered Species Act, and as a vulnerable species on the IUCN Red List. Threats that may negatively impact vernal pool fairy shrimp populations include pesticide applications to agricultural land use (e.g., agrochemicals such as organophosphate pesticides) and climate changes that impact vernal pool hydrology. Pop-GUIDE (Population model Guidance, Use, Interpretation, and Development for Ecological risk assessment) is a comprehensive tool that facilitates development and implementation of population models for ecological risk assessment and can be used to document the model derivation process. We employed Pop-GUIDE to document and facilitate the development of a population model for investigating impacts of organophosphate pesticides on vernal pool fairy shrimp populations in California’s Central Valley. The resulting model could be applied in combination with field assessment and laboratory-based chemical analysis to link effects from pesticide exposure to adverse outcomes in populations across their range. B. lynchi has a unique intra-annual life cycle that is largely dependent upon environmental conditions. Future deployment of this population model should include complex scenarios consisting of multiple stressors, whereby the model is used to examine scenarios that combine chemical stress resulting from exposure to pesticides and climate changes.
“…Screening models do not consider the influence of weather conditions, differences in soil topography, and product use patterns on different crops (USEPA, 2022a). On the other hand, a scenario‐dependent model includes data such as crop growth stages, soil properties, weather patterns, field hydrology, and pesticide use patterns and fate (Sinnathamby et al, 2020; Young & Fry, 2019). In general, scenario‐dependent models have been built for the regulatory agencies of the US (USEPA, 2022b) and the European Union (European Food Safety Authority [EFSA], 2013) in partnership with industry and academics, whereas for other countries, especially tropical regions, there is need for scientific knowledge development including potential adaptations especially regarding the development of local scenarios.…”
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