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.
Acoustic indicators of welfare in neotropical frogs: Calls as early-warning signals of sublethal suffering related to infection and environmental stress
Grantee: Erin Wall
Institution: Wavelength Animal Communication Science and University of Texas at Austin, United States
Project summary
Emerging evidence indicates that frog call characteristics are modulated by environmental and physiological conditions, offering the potential for rapid insights into an individual’s welfare. This project will examine the relationship between environmental conditions, physiology, and behavior to connect indices of welfare to variation in acoustic signals in neotropical frogs in Panama. By linking these measures to natural levels of sublethal infection and variation in environmental conditions, the researchers will aim to identify acoustic signatures of welfare and develop a rapid, non-intrusive welfare detection tool for thousands of species of vocalizing frogs.
Novel epigenetic approaches to measure wild animal welfare and stress
Grantee: Dave Daversa
Institution: University of California, Los Angeles
Project summary
A challenge in wild animal welfare science is developing composite assays that consider the full breadth of factors collectively shaping subjective experiences. This project will demonstrate proof of concept for a DNA methylation (DNAm)-based model of wild animal welfare, characterizing DNAm in western toads. It will test the influence of infection with Batrachochytrium dendrobatidis (Bd) on DNAm and its covariance with demographic factors such as age, sex, and body condition. Captive-reared toads will be sampled to characterize DNAm under controlled conditions, providing a standardized profile of DNAm rates over toad life stages. The researchers will then sample toads from wild populations experiencing starkly different levels of Bd infection, with accelerated biological aging signaling elevated stress and impaired welfare.
Integrating individual-level juvenile welfare in dynamic habitats across time and space
Grantee: Tom Luhring
Institution: Wichita State University, Texas State University, and Stephen F. Austin University
Project summary
The project will track four populations of juvenile lesser sirens in Eastern Texas within and across years. Sirens’ health is directly affected by their environment through the impacts of resource availability on body condition and growth rates. Furthermore, sirens show strong size-dependent and seasonal shifts in antagonistic behaviors, which lead to acute injuries. This project will use water-borne corticosterone release rates to investigate changes in stress physiology as a function of changes in the environment experienced by the individual (population density, drought severity index, water temperature, pH, conductivity) across time and space to understand coping capacity. This data will also be used to investigate the welfare impact of an established marking technique compared to a novel machine-learning approach.
Does population density influence the welfare of wild newts?
Grantee: Luiza Figueiredo Passos
Institution: Liverpool John Moores University
Project summary
This project will explore how the welfare of the widespread great crested newt (Triturus cristatus) is influenced by population density. It will test the hypothesis that optimal conditions for population sustainability could be suboptimal at the individual level, and consequently negative for welfare. The researchers will study the welfare of newts in populations with varying densities throughout England. Welfare will be assessed using the Five Domains Model by collecting measures of health, behavior, and nutrition. Environmental parameters will also be collected to assess the relationship between habitat quality and welfare.