Study and manage wild animal populations.
Work task
“Study and manage wild animal populations.” is a supplemental task performed by Biologists. Among the occupation's 22 rated tasks, workers place it 13th by importance (#10 most important). About 32% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.
Other tasks in this occupation
- Research environmental effects of present and potential uses of land and water areas, determining methods of improving environmental conditions or such outputs as crop yields. · importance 4.2
- Program and use computers to store, process, and analyze data. · importance 4.1
- Prepare technical and research reports, such as environmental impact reports, and communicate the results to individuals in industry, government, or the general public. · importance 4.1
- Supervise biological technicians and technologists and other scientists. · importance 4.1
- Develop and maintain liaisons and effective working relations with groups and individuals, agencies, and the public to encourage cooperative management strategies or to develop information and interpret findings. · importance 4.0
- Identify, classify, and study structure, behavior, ecology, physiology, nutrition, culture, and distribution of plant and animal species. · importance 4.0
- Study basic principles of plant and animal life, such as origin, relationship, development, anatomy, and function. · importance 4.0
- Collect and analyze biological data about relationships among and between organisms and their environment. · importance 3.9
- Review reports and proposals, such as those relating to land use classifications and recreational development, for accuracy, adequacy, or adherence to policies, regulations, or scientific standards. · importance 3.9
- Study aquatic plants and animals and environmental conditions affecting them, such as radioactivity or pollution. · importance 3.8
- Write grant proposals to obtain funding for biological research. · importance 3.8
- Prepare plans for management of renewable resources. · importance 3.8
- Teach or supervise students and perform research at universities and colleges. · importance 3.6
- Prepare requests for proposals or statements of work. · importance 3.6
See all tasks on the Biologists page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Study and manage wild animal populations.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-188
Singulariki. (2026). Study and manage wild animal populations.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-188
@misc{singulariki-task-188,
title = {Study and manage wild animal populations.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-188}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.