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Finding generality in ecology: A model for globally distributed experiments

Publication ,  Journal Article
Borer, ET; Harpole, WS; Adler, PB; Lind, EM; Orrock, JL; Seabloom, EW; Smith, MD
Published in: Methods in Ecology and Evolution
January 1, 2014

Summary: Advancing the field of ecology relies on understanding generalities and developing theories based on empirical and functional relationships that integrate across organismal to global spatial scales and span temporal scales. Significant advances in predicting responses of ecological communities to globally extensive anthropogenic perturbations, for example, require understanding the role of environmental context in determining outcomes, which in turn requires standardized experiments across sites and regions. Distributed collaborative experiments can lead to high-impact advances that would otherwise be unachievable. Here, we provide specific advice and considerations relevant to researchers interested in employing this emerging approach using as a case study our experience developing and running the Nutrient Network, a globally distributed experimental network (currently >75 sites in 17 countries) that arose from a grassroots, cooperative research effort. We clarify the design, goals and function of the Nutrient Network as a model to empower others in the scientific community to employ distributed experiments to advance our predictive understanding of global-scale ecological trends and responses. Our experiences to date demonstrate that globally distributed experimental science need not be prohibitively expensive or time-consuming on a per capita basis and is not limited to senior scientists or countries where science is well funded. While distributed experiments are not a panacea for understanding ecological systems, they can substantially complement existing approaches. © 2013 British Ecological Society.

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Published In

Methods in Ecology and Evolution

DOI

EISSN

2041-210X

Publication Date

January 1, 2014

Volume

5

Issue

1

Start / End Page

65 / 73

Related Subject Headings

  • 4104 Environmental management
  • 3109 Zoology
  • 3103 Ecology
  • 0603 Evolutionary Biology
  • 0602 Ecology
  • 0502 Environmental Science and Management
 

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Borer, E. T., Harpole, W. S., Adler, P. B., Lind, E. M., Orrock, J. L., Seabloom, E. W., & Smith, M. D. (2014). Finding generality in ecology: A model for globally distributed experiments. Methods in Ecology and Evolution, 5(1), 65–73. https://doi.org/10.1111/2041-210X.12125
Borer, E. T., W. S. Harpole, P. B. Adler, E. M. Lind, J. L. Orrock, E. W. Seabloom, and M. D. Smith. “Finding generality in ecology: A model for globally distributed experiments.” Methods in Ecology and Evolution 5, no. 1 (January 1, 2014): 65–73. https://doi.org/10.1111/2041-210X.12125.
Borer ET, Harpole WS, Adler PB, Lind EM, Orrock JL, Seabloom EW, et al. Finding generality in ecology: A model for globally distributed experiments. Methods in Ecology and Evolution. 2014 Jan 1;5(1):65–73.
Borer, E. T., et al. “Finding generality in ecology: A model for globally distributed experiments.” Methods in Ecology and Evolution, vol. 5, no. 1, Jan. 2014, pp. 65–73. Scopus, doi:10.1111/2041-210X.12125.
Borer ET, Harpole WS, Adler PB, Lind EM, Orrock JL, Seabloom EW, Smith MD. Finding generality in ecology: A model for globally distributed experiments. Methods in Ecology and Evolution. 2014 Jan 1;5(1):65–73.
Journal cover image

Published In

Methods in Ecology and Evolution

DOI

EISSN

2041-210X

Publication Date

January 1, 2014

Volume

5

Issue

1

Start / End Page

65 / 73

Related Subject Headings

  • 4104 Environmental management
  • 3109 Zoology
  • 3103 Ecology
  • 0603 Evolutionary Biology
  • 0602 Ecology
  • 0502 Environmental Science and Management