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iEcology: Harnessing Large Online Resources to Generate Ecological Insights

期刊

TRENDS IN ECOLOGY & EVOLUTION
卷 35, 期 7, 页码 630-639

出版社

CELL PRESS
DOI: 10.1016/j.tree.2020.03.003

关键词

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资金

  1. J. E. Purkyne Fellowship of the Czech Academy of Sciences
  2. ANR, the AXA Research Fund Chair for Invasion Biology and Biodiversa AlienScenarios
  3. Helsinki Institute for Sustainability Science (HELSUS)
  4. European Research Council (ERC) under the European Union [802933]
  5. EU [677039]
  6. ERDF/ESF funding [CZ.02.1.01/0.0/0.0/16_025/0007417]
  7. Israel Science Foundation [406/19]
  8. Merton College
  9. BBSRC [BB/S009752/1]
  10. NERC [NE/S010335/1]
  11. BBSRC [BB/S009752/1] Funding Source: UKRI
  12. European Research Council (ERC) [802933] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

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.

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