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A method to detect discontinuities in census data

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Barichievy C., Angeler D.G., Eason T., Garmestani, A.S., Nash, K.L., Stow, C.A., Sundstrom, S., and Allen, C.R. (2018). A method to detect discontinuities in census data. Ecol Evol. 2018;00:1–10. https://doi.org/10.1002/ece3.4297

Summary

Abstract The distribution of pattern across scales has predictive power in the analysis of complex systems. Discontinuity approaches remain a fruitful avenue of research in the quest for quantitative measures of resilience because discontinuity analysis provides an objective means of identifying scales in complex systems and facilitates delineation of hierarchical patterns in processes, structure, and resources. However, current discontinuity methods have been considered too subjective, too complicated and opaque, or have become computationally obsolete; given the ubiquity of discontinuities in ecological and other complex systems, a simple and transparent method for detection is needed. In this study, we present a method to detect [...]

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Figure 2- ypothetical census of 100 species, sampled from 10 equally weighted normal mixture models and analyzed for discontinuities using the discontinuity detector..JPG
“Figure 2 from paper - see pub for details.”
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Figure 2 from paper - see pub for details.
Figure 2 from paper - see pub for details.

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  • John Wesley Powell Center for Analysis and Synthesis

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DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.1002/ece3.4297

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noteBarichievy C., Angeler D.G., Eason T., Garmestani, A.S., Nash, K.L., Stow, C.A., Sundstrom, S., and Allen, C.R. (2018). A method to detect discontinuities in census data. Ecol Evol. 2018;00:1–10. https://doi.org/10.1002/ece3.4297

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