Meet our grantees
Wild Animal Initiative funds academic research on high-priority questions in wild animal welfare.
The goal of our grants program is to fund research that deepens scientific knowledge of the welfare of wild animals in order to better understand how to improve the welfare of as many wild animals as possible, regardless of what causes the threats to their well-being.
We showcase our grantees and their projects here and continuously update this page as new projects are added.
Harnessing machine learning for the non-invasive assessment of wild fish welfare
Grantee: Thomas Pike
Institution: University of Lincoln
Project summary
This project aims to develop an open-source aquatic camera system capable of automatically and non-invasively quantifying a suite of behavioural and cognitive welfare indicators in wild fish. Behavioural indicators include the degree of physical closeness between individuals within a group, the spatial arrangement of subgroups, movement behaviour, and agonistic interactions. The project will examine variation in these indicators along an urban–rural gradient to a range of putative stressors, before validating them using “challenge” tests involving ecologically relevant experimental interventions (e.g., acoustic disturbances such as boat noise). The overarching objective is to develop an open-source toolkit that integrates commercially available hardware with custom-designed software, allowing the methods to be readily used by others to assess wild fish welfare.
Grantee: Thomas Pike
Institution: University of Lincoln, UK
Grant amount: $81,927
Grant type: Challenge grants
Focal species: Fish
Conservation status: Least concern
Disciplines: Animal behavior, cognition, climate science, ichthyology
Research locations: United Kingdom
Project summary
Wild fish are facing unprecedented challenges from climate-change-induced alterations to natural environments and anthropogenic stressors. Yet assessing their welfare is extremely challenging. To address this, this project aims to develop an open-source aquatic camera system capable of automatically and non-invasively quantifying a suite of behavioural and cognitive welfare indicators. Behavioural indicators include the degree of physical closeness between individuals within a group, the spatial arrangement of subgroups, movement behaviour, and agonistic interactions. The project will examine variation in these indicators along an urban–rural gradient to a range of putative stressors, before validating them using “challenge” tests involving ecologically relevant experimental interventions (e.g., acoustic disturbances such as boat noise). The overarching objective is to develop an open-source toolkit that integrates commercially available hardware with custom-designed software, allowing the methods to be readily used by others to easily, cheaply, and repeatedly assess the welfare of wild fish.
Why we funded this project
This project will provide proof of concept for a novel approach to monitoring fish welfare at scale that is designed to be widely generalisable and translatable across species, habitats, and contexts. This project will improve current strategies for assessing the welfare of wild fish, most notably by avoiding the need for capture, handling, or restraint, and by being entirely non-invasive and non-disruptive.
Effect of an invasive competitor on the welfare of a threatened fish in a soft-release program
Grantee: Rafael Freire
Institutions: Charles Sturt University
Project summary
Invasive fish are common in most freshwater systems, yet their impact on the welfare of resident fish is often ignored. Invasive fish species compete and displace small-bodied native fish in several ways, including by preventing access to refuge sites, preferred foods, breeding grounds, and other important resources. This project will assess the welfare of native fish placed in sites with and without invasive competitors. Welfare will be measured using a novel population-level judgement bias test, differences in telomere attrition, and typical physical correlates of welfare in fish. In addition to revealing the impact of invasive fish on small-bodied fish welfare, this work will also promote greater consideration of the impact of animal translocation and release activities on wild animal welfare.
Grantee: Rafael Freire
Institution: Charles Sturt University, Australia
Grant amount: $20,200
Grant type: Discovery grants
Focal species: Southern pygmy perch (Nannoperca australis)
Conservation status: Endangered
Disciplines: Physiology, animal behavior, ichthyology, cognition
Research locations: Australia
Project summary
Invasive fish are common in most freshwater systems, yet their impact on the welfare of resident fish is often ignored. Invasive fish species compete and displace small-bodied native fish in several ways, including by preventing access to refuge sites, preferred foods, breeding grounds, and other important resources. This project will assess the welfare of native fish placed in sites with and without invasive competitors. Welfare will be measured using a novel population-level judgement bias test developed in 2023 with prior Wild Animal Initiative support. Additional measures of welfare will include differences in telomere attrition and typical physical correlates of welfare in fish. In addition to revealing the impact of invasive fish on small-bodied fish welfare, this work will also promote greater consideration of the impact of animal translocation and release activities on wild animal welfare.
Why we funded this project
This project builds on previous work funded by WAI and has immediate potential to inform freshwater systems restoration strategies with a welfare perspective. We are also pleased to see high-quality and scalable behavioral welfare indicators being developed for fish, a group whose welfare has historically been neglected and especially challenging to study.