PT  - JOURNAL ARTICLE
AU  - Timothée Poisot
AU  - Dominique Gravel
AU  - Shawn Leroux
AU  - Spencer A. Wood
AU  - Marie-Josée Fortin
AU  - Benjamin Baiser
AU  - Alyssa R. Cirtwill
AU  - Miguel B. Araújo
AU  - Daniel B. Stouffer
TI  - Synthetic datasets and community tools for the rapid testing of ecological hypotheses
AID  - 10.1101/021402
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 021402
4099  - http://biorxiv.org/content/early/2015/06/23/021402.short
4100  - http://biorxiv.org/content/early/2015/06/23/021402.full
AB  - The increased availability of both open ecological data, and software to interact with it, allows to rapidly collect and integrate data over large spatial and taxonomic scales. This offers the opportunity to address macroecological questions in a cost-effective way. In this contribution, we illustrate this approach by forecasting the structure of a stream food web at the global scale. In so doing, we highlight the most salient issues needing to be addressed before this approach can be used with a high degree of confidence.