iEcology: Harnessing Large Online Resources to Generate Ecological Insights
Language English Country Great Britain, England Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
32521246
DOI
10.1016/j.tree.2020.03.003
PII: S0169-5347(20)30077-X
Knihovny.cz E-resources
- Keywords
- biodiversity, biogeography, culturomics, data mining, digital data, internet, social media,
- MeSH
- Biodiversity * MeSH
- Ecology * MeSH
- Reproducibility of Results MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Digital data are accumulating at unprecedented rates. These contain a lot of information about the natural world, some of which can be used to answer key ecological questions. Here, we introduce iEcology (i.e., internet ecology), an emerging research approach that uses diverse online data sources and methods to generate insights about species distribution over space and time, interactions and dynamics of organisms and their environment, and anthropogenic impacts. We review iEcology data sources and methods, and provide examples of potential research applications. We also outline approaches to reduce potential biases and improve reliability and applicability. As technologies and expertise improve, and costs diminish, iEcology will become an increasingly important means to gain novel insights into the natural world.
Environment and Sustainability Institute University of Exeter Penryn Cornwall UK
Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany
School of Geography and the Environment University of Oxford Oxford UK
Université Paris Saclay CNRS AgroParisTech Ecologie Systématique Evolution 91405 Orsay France
References provided by Crossref.org
Leveraging social media and other online data to study animal behavior
Harnessing online digital data in biodiversity monitoring
Expanding conservation culturomics and iEcology from terrestrial to aquatic realms