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Sharing for science: high-resolution trophic interactions revealed rapidly by social media

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 tax...

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Detalles Bibliográficos
Autores principales: Maritz, Robin A., Maritz, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354841/
https://www.ncbi.nlm.nih.gov/pubmed/32714662
http://dx.doi.org/10.7717/peerj.9485
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author Maritz, Robin A.
Maritz, Bryan
author_facet Maritz, Robin A.
Maritz, Bryan
author_sort Maritz, Robin A.
collection PubMed
description 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. Relative to an extensive literature review spanning 226 sources and 138 years, we found that social media has provided snake dietary records faster than ever before in history with prey being identified to a finer taxonomic resolution and showing only modest concordance with the literature due to the number of novel interactions that were detected. Finally, we demonstrate that social media can outperform other citizen science image-based approaches (iNaturalist and Google Images) highlighting the versatility of social media and its ability to function as a citizen science platform.
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spelling pubmed-73548412020-07-24 Sharing for science: high-resolution trophic interactions revealed rapidly by social media Maritz, Robin A. Maritz, Bryan PeerJ Biodiversity 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. Relative to an extensive literature review spanning 226 sources and 138 years, we found that social media has provided snake dietary records faster than ever before in history with prey being identified to a finer taxonomic resolution and showing only modest concordance with the literature due to the number of novel interactions that were detected. Finally, we demonstrate that social media can outperform other citizen science image-based approaches (iNaturalist and Google Images) highlighting the versatility of social media and its ability to function as a citizen science platform. PeerJ Inc. 2020-07-09 /pmc/articles/PMC7354841/ /pubmed/32714662 http://dx.doi.org/10.7717/peerj.9485 Text en ©2020 Maritz and Maritz https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Maritz, Robin A.
Maritz, Bryan
Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title_full Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title_fullStr Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title_full_unstemmed Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title_short Sharing for science: high-resolution trophic interactions revealed rapidly by social media
title_sort sharing for science: high-resolution trophic interactions revealed rapidly by social media
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354841/
https://www.ncbi.nlm.nih.gov/pubmed/32714662
http://dx.doi.org/10.7717/peerj.9485
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