@article{ed1533dc34d14e45983229ed4c74ac18,
title = "A method to detect discontinuities in census data",
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 discontinuities in census data based on resampling of a neutral model and provide the R code used to run the analyses. This method has the potential for advancing basic and applied ecological research.",
keywords = "discontinuities, discontinuity detector, ecosystem management, resilience",
author = "Chris Barichievy and Angeler, {David G.} and Tarsha Eason and Garmestani, {Ahjond S.} and Nash, {Kirsty L.} and Stow, {Craig A.} and Shana Sundstrom and Allen, {Craig R.}",
note = "Funding Information: This research arose from a workshop series, “Understanding and managing for resilience in the face of global change,” which was funded by the USGS John Powell Center for Synthesis and Analysis, and the USGS National Climate Change and Wildlife Center. We thank the Powell Center for supporting collaborative and interdisciplinary research efforts. GLERL contribution number 1880. The Nebraska Cooperative Fish and Wildlife Research Unit is jointly supported by a cooperative agreement between the United States Geological Survey, the Nebraska Game and Parks Commission, the University of Nebraska Lincoln, the United States Fish and Wildlife Service, and the Wildlife Management Institute. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Publisher Copyright: {\textcopyright} 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.",
year = "2018",
month = oct,
doi = "10.1002/ece3.4297",
language = "English (US)",
volume = "8",
pages = "9614--9623",
journal = "Ecology and Evolution",
issn = "2045-7758",
publisher = "John Wiley and Sons Ltd",
number = "19",
}