Nika Galić
YOU?
Author Swipe
View article: What Is Regulating Chironomid Populations? The Influence of Food Supply and Interference Competition on Development and Mortality in <i>Chironomus riparius</i>
What Is Regulating Chironomid Populations? The Influence of Food Supply and Interference Competition on Development and Mortality in <i>Chironomus riparius</i> Open
Density‐dependent processes are important for a fundamental understanding of population regulation, as well as for understanding responses to and recovery from stressors. While exploitative competition is well‐studied, interference competi…
View article: Landscapes from the bee perspective: an application of SolBeePop to field study data
Landscapes from the bee perspective: an application of SolBeePop to field study data Open
Introduction : The temporal and spatial pattern of floral resources in a landscape is an important driver of dynamics of pollinator species, such as solitary bees. Thus, the representation of complex landscapes in models is of interest whe…
View article: Comparing Energetics and Physiological Trait Patterns of North American Birds to Support Ecological Risk Assessment
Comparing Energetics and Physiological Trait Patterns of North American Birds to Support Ecological Risk Assessment Open
The environmental risk assessment (ERA) of plant protection products (PPPs) is commonly conducted for a number of standard laboratory species, though its scope includes all species, especially those that are vulnerable or endangered. This …
View article: Modeling temperature-dependent life-cycle toxicity of thiamethoxam in Chironomus riparius using a DEB-TKTD model
Modeling temperature-dependent life-cycle toxicity of thiamethoxam in Chironomus riparius using a DEB-TKTD model Open
The neonicotinoid insecticide thiamethoxam (TMX) is widely used to protect crops against insect pests. Despite some desirable properties such as its low toxicity to birds and mammals, concerns have been raised about its toxicity to non-tar…
View article: Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information
Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information Open
Practical, legal, and ethical reasons necessitate the development of methods to replace animal experiments. Computational techniques to acquire information that traditionally relied on animal testing are considered a crucial pillar among t…
View article: An approximation approach to spatial connectivity for a data-limited endangered species with implications for habitat restoration
An approximation approach to spatial connectivity for a data-limited endangered species with implications for habitat restoration Open
Among numerous concerns, restoration ecologists are routinely plagued with the problem of where to implement conservation efforts to best maintain spatial connectivity and population structure. Knowledge about connectivity within a metapop…
View article: SolBeePop: A model of solitary bee populations in agricultural landscapes
SolBeePop: A model of solitary bee populations in agricultural landscapes Open
With their large diversity of species, solitary bees are important pollinators of crops and native plant communities in agricultural landscapes. Stressors such as changing landscapes, climate and pesticide exposures may affect populations …
View article: Characterization of patterns and variability in the dynamics of outdoor aquatic mesocosms: exploring the capabilities and challenges in data supporting aquatic system models
Characterization of patterns and variability in the dynamics of outdoor aquatic mesocosms: exploring the capabilities and challenges in data supporting aquatic system models Open
Aquatic mesocosms are complex test systems used within regulatory risk assessment of plant protection products. These model ecosystems allow researchers to capture interactions of multiple species under realistic environmental conditions. …
View article: Physiological variables in machine learning QSARs allow for both cross-chemical and cross-species predictions
Physiological variables in machine learning QSARs allow for both cross-chemical and cross-species predictions Open
A major challenge in ecological risk assessment is estimating chemical-induced effects across taxa without species-specific testing. Where ecotoxicological data may be more challenging to gather, information on species physiology is more a…
View article: Development of a mechanistic model for analyzing avian reproduction data for pesticide risk assessment
Development of a mechanistic model for analyzing avian reproduction data for pesticide risk assessment Open
Mechanistic effect models are increasingly recommended as tools for refining evaluations of risk from exposure to pesticides. In the context of bird and mammal risk assessments, DEB-TKTD models have been recommended for characterizing subl…
View article: Characterization of patterns and variability in the dynamics of outdoor aquatic mesocosms: exploring the capabilities and challenges in data supporting aquatic system models
Characterization of patterns and variability in the dynamics of outdoor aquatic mesocosms: exploring the capabilities and challenges in data supporting aquatic system models Open
Aquatic mesocosms are complex test systems used within regulatory risk assessment of plant protection products. These model ecosystems allow to capture interactions of multiple species under environmental conditions. They enable assessment…
View article: Applying a hybrid model to support management of the endangered Topeka shiner in oxbow habitats
Applying a hybrid model to support management of the endangered Topeka shiner in oxbow habitats Open
Introduction Habitat restoration aims at reinstating abiotic and biotic habitat conditions to support long-term species persistence and viability. This management practice is commonly part of recovery plans developed for species listed as …
View article: Modeling Pesticide Effects on Multiple Threatened and Endangered Cyprinid Fish Species: The Role of Life-History Traits and Ecology
Modeling Pesticide Effects on Multiple Threatened and Endangered Cyprinid Fish Species: The Role of Life-History Traits and Ecology Open
Mechanistic models are invaluable in ecological risk assessment (ERA) because they facilitate extrapolation of organism-level effects to population-level effects while accounting for species life history, ecology, and vulnerability. In thi…
View article: Evaluating the Efficacy of Approaches to Control Invasive Populations: A Conceptual Model Development for the Signal Crayfish
Evaluating the Efficacy of Approaches to Control Invasive Populations: A Conceptual Model Development for the Signal Crayfish Open
Invasive crayfish are among the major threats to freshwater ecosystems, with the signal crayfish, Pacifastacus leniusculus, being one of the most successful crayfish invaders in Europe. Approaches to invasive crayfish control range from ma…
View article: Using life-history trait variation to inform ecological risk assessments for threatened and endangered plant species
Using life-history trait variation to inform ecological risk assessments for threatened and endangered plant species Open
Developing population models for assessing risks to terrestrial plant species listed as threatened or endangered under the Endangered Species Act (ESA) is challenging given a paucity of data on their life histories. The purpose of this stu…
View article: Assessment of risks to listed species from the use of atrazine in the USA: a perspective
Assessment of risks to listed species from the use of atrazine in the USA: a perspective Open
Atrazine is a triazine herbicide used predominantly on corn, sorghum, and sugarcane in the US. Its use potentially overlaps with the ranges of listed (threatened and endangered) species. In response to registration review in the context of…
View article: Assessment of the Vulnerability to Pesticide Exposures Across Bee Species
Assessment of the Vulnerability to Pesticide Exposures Across Bee Species Open
In many countries, the western honey bee is used as surrogate in pesticide risk assessments for bees. However, uncertainty remains in the estimation of pesticide risk to non-Apis bees because their potential routes of exposure to pesticide…
View article: Assessing chemical risk within an ecosystem services framework: Implementation and added value
Assessing chemical risk within an ecosystem services framework: Implementation and added value Open
An ecosystem services (ES) approach to chemical risk assessment has many potential advantages, but there are also substantial challenges regarding its implementation. We report the findings of a multi-stakeholder workshop that evaluated th…
View article: Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support
Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support Open
View article: Pop-guide: Population modeling guidance, use, interpretation, and development for ecological risk assessment
Pop-guide: Population modeling guidance, use, interpretation, and development for ecological risk assessment Open
The assimilation of population models into ecological risk assessment (ERA) has been hindered by their range of complexity, uncertainty, resource investment, and data availability. Likewise, ensuring that the models address risk assessment…
View article: Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model—Part II: Analysis of Overwintering Outcomes
Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model—Part II: Analysis of Overwintering Outcomes Open
Large-scale colony feeding studies (LSCFSs) aim to assess potential pesticide exposure to and effects on honey bees at the colony level. However, these studies are sometimes affected by high losses of control colonies, indicating that othe…
View article: Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model—Part I: Model Validation
Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model—Part I: Model Validation Open
In pesticide risk assessments, semifield studies, such as large-scale colony feeding studies (LSCFSs), are conducted to assess potential risks at the honey bee colony level. However, such studies are very cost and time intensive, and high …
View article: Sublethal effect modelling for environmental risk assessment of chemicals: Problem definition, model variants, application and challenges
Sublethal effect modelling for environmental risk assessment of chemicals: Problem definition, model variants, application and challenges Open
Bioenergetic models, and specifically dynamic energy budget (DEB) theory, are gathering a great deal of interest as a tool to predict the effects of realistically variable exposure to toxicants over time on an individual animal. Here we us…
View article: Applying the mechanistic honey bee colony model BEEHAVE to inform test designs of Large-Scale Colony Feeding Study (LCFS)
Applying the mechanistic honey bee colony model BEEHAVE to inform test designs of Large-Scale Colony Feeding Study (LCFS) Open
View article: Sensitivity analysis for an avian reproductive toxicology model
Sensitivity analysis for an avian reproductive toxicology model Open
Presentation to the North American Ornithological Virtual Congress August 2020
View article: Guidance for Developing Amphibian Population Models for Ecological Risk Assessment
Guidance for Developing Amphibian Population Models for Ecological Risk Assessment Open
Despite widespread acceptance of the utility of population modeling and advocacy of this approach for a more ecologically relevant perspective, it is not routinely incorporated in ecological risk assessments (ERA). A systematic framework f…
View article: Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions
Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions Open
A species sensitivity distribution (SSD) is a cumulative distribution function of toxicity endpoints for a receptor group. A key assumption when deriving an SSD is that the toxicity data points are independent and identically distributed (…
View article: Predicting impacts of chemicals from organisms to ecosystem service delivery: A case study of insecticide impacts on a freshwater lake
Predicting impacts of chemicals from organisms to ecosystem service delivery: A case study of insecticide impacts on a freshwater lake Open
View article: Data Supporting 'Towards representing listed mussel species in risk assessment: A database and multivariate analysis of freshwater mussel life-history traits'
Data Supporting 'Towards representing listed mussel species in risk assessment: A database and multivariate analysis of freshwater mussel life-history traits' Open
These files represent a literature review and database of freshwater mussel life-history data collected from published studies.
View article: Predicting impacts of chemicals from organisms to ecosystem service delivery: A case study of endocrine disruptor effects on trout
Predicting impacts of chemicals from organisms to ecosystem service delivery: A case study of endocrine disruptor effects on trout Open