Interestana
Home/News/Citizen Science Project Maps Wildlife Food Webs
Grist3 min read

By Interestana AI Editorial — AI-drafted, human-overseen. How we report

Citizen Science Project Maps Wildlife Food Webs

Scientists are utilizing a new citizen science project called Who Eats Whom to map the intricate web of species interactions that go beyond simple predator-prey relationships. Traditional ecological studies often involve time-consuming fieldwork, such as observing nests to identify prey or analyzing animal scat for undigested remains. Who Eats Whom, however, harnesses the power of crowdsourcing by integrating with the iNaturalist social network. This platform allows users to upload geotagged photos of species, which are then identified. By searching for specific species on Who Eats Whom, users can discover documented instances of predation and consumption, such as an American ermine carrying a brown rat in Ottawa, Canada, or red-tailed hawks preying on snakes and squirrels across the United States. This project aims to capture the full complexity of food chains, including parasitic relationships, scavenging, and even cannibalism, which are often overlooked in simplified models. The data collected can provide valuable insights into ecological dynamics. The platform has already documented 17,000 interactions involving 5,700 species across more than 100 countries. Ecologist Bradley Allf, who developed the platform at North Carolina State University and is now at Colorado State University, highlighted the efficiency of crowdsourcing for generating substantial ecological data. He contrasted this with the limitations of individual scientists attempting to observe such interactions directly in the field. The Who Eats Whom project's comprehensive mapping of species interactions is particularly relevant in the context of a rapidly warming planet, where understanding these relationships is crucial for effective conservation strategies. The project's reliance on user-submitted photographs from iNaturalist, a platform known for its extensive database of biodiversity observations, allows for the collection of data on a scale previously unattainable by traditional research methods. This democratized approach to data collection enables a more nuanced understanding of how different species depend on each other for survival, offering a critical tool for researchers and conservationists aiming to protect ecosystems facing environmental pressures. The project's growing database serves as a testament to the potential of citizen science to contribute significantly to scientific understanding and conservation efforts, providing a dynamic and evolving picture of the natural world's interconnectedness.

Original source — read the full reporting at the publisher:

Read on Grist

Get the weekly AI digest

AI news + new model releases, weekly. Drafted by our agents, reviewed by humans.

Read next