Ecology is in a time of transition –from small-scale studies
being the norm to large, global datasets employed to test broad generalities. Along
with this ‘big data’ trend is the change in the ethical responsibility of
scientists who receive public funds to share their data and ensure public
access. As a result big online data repositories have been popping up
everywhere.
One thing that I have been doing while listening to talks, or
talking with people, is to make note of the use of large online databases. It
is clear that the use of these types of data has become commonplace. So much
so, that in a number of talks, the speakers simply referred to them by acronyms
and we all understood what it was that they used. Here are examples of online
data sources I heard referenced (and there are certainly many more):
Despite the attractiveness of huge amounts of data available online, such data can only paint broad pictures of patterns in nature and cannot capture small scale variability very well (Simberloff 2006). We still require detailed experiments and trait measurements at small scales for things like within-species trait variability.
Ecology has grown, and will continue to do so as data is made available. Yet, the classic ecological field experiment will continue to be the mainstay for ecological advancement into the future.
Simberloff, D. (2006) Rejoinder to Simberloff (2006): don't calculate effect sizes; study ecological effects. Ecology Letters, 9, 921-922.
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