Sharing for science: High-resolution trophic interactions revealed rapidly by social media
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
PeerJ
Abstract
Discrete, ephemeral natural phenomena with low spatial or temporal predictability are incredibly challenging to study systematically. In ecology, species interactions, which constitute the functional backbone of ecological communities, can be notoriously difficult to characterise especially when taxa are inconspicuous and the interactions of interest (e.g., trophic events) occur infrequently, rapidly, or variably in space and time. Overcoming such issues has historically required significant time and resource investment to collect sufficient data, precluding the answering of many ecological and evolutionary questions. Here, we show the utility of social media for rapidly collecting observations of ephemeral ecological phenomena with low spatial and temporal predictability by using a Facebook group dedicated to collecting predation events involving reptiles and amphibians in sub-Saharan Africa. We collected over 1900 independent feeding observations using Facebook from 2015 to 2019 involving 83 families of predators and 129 families of prey. Feeding events by snakes were particularly well-represented with close to 1,100 feeding observations recorded.
Description
Keywords
Citizen science, Crowd-sourcing, Facebook, Feeding interactions, Southern Africa
Citation
Maritz, R. A., & Maritz, B. (2020). Sharing for science: High-resolution trophic interactions revealed rapidly by social media. PeerJ, 2020(7),e9485