Publications by authors named "Shana M Sundstrom"

Coping with surprise and uncertainty resulting from the emergence of undesired and unexpected novelty or the sudden reorganization of systems at multiple spatiotemporal scales requires both a scientific process that can incorporate diverse expertise and viewpoints, and a scientific framework that can account for the structure and dynamics of interacting social-ecological systems (SES) and the inherent uncertainty of what might emerge in the future. We argue that combining a convergence scientific process with a panarchy framework provides a pathway for improving our understanding of, and response to, emergence. Emergent phenomena are often unexpected (e.

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Management frequently creates system conditions that poorly mimic the conditions of a desirable self-organizing regime. Such management is ubiquitous across complex systems of people and nature and will likely intensify as these systems face rapid change. However, it is highly uncertain whether the costs (unintended consequences, including negative side effects) of management but also social dynamics can eventually outweigh benefits in the long term.

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New concepts have emerged in theoretical ecology with the intent to quantify complexities in ecological change that are unaccounted for in state-and-transition models and to provide applied ecologists with statistical early warning metrics able to predict and prevent state transitions. With its rich history of furthering ecological theory and its robust and broad-scale monitoring frameworks, the rangeland discipline is poised to empirically assess these newly proposed ideas while also serving as early adopters of novel statistical metrics that provide advanced warning of a pending shift to an alternative ecological regime. Were view multivariate early warning and regime shift detection metrics, identify situations where various metrics will be most useful for rangeland science, and then highlight known shortcomings.

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Article Synopsis
  • The cross-scale resilience model explains how ecological resilience arises from the distribution of species' functions across different spatial and temporal scales, offering a quantitative approach in a mostly qualitative field.
  • While the model considers where and when species are present and their roles, it overlooks the abundance of species and their functions in assessing resilience.
  • The authors propose incorporating species abundance into the model and outline testable hypotheses to better understand and measure ecological resilience in the context of rapid global changes.
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  • Research has typically focused on early warning indicators for time-based changes, overlooking their potential use for identifying spatial patterns in ecological contexts.
  • Traditional ecoregion maps, which usually rely on potential vegetation, often miss ongoing changes influenced by factors like climate change and land use.
  • The study demonstrates that using Fisher information on animal data reveals ecological boundaries more accurately than conventional methods, indicating that defining spatial regimes based on animal communities may align better with the realities of rapidly changing ecosystems.
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Article Synopsis
  • The study examines how body size patterns in communities of organisms can indicate shifts between different ecological regimes, especially in relation to climate change.
  • Researchers analyzed diatom size distributions in Foy Lake, Montana, noting significant changes leading up to a major ecosystem shift over the past 7000 years.
  • Findings suggest that the analysis of body size discontinuities can provide early warning signals for predicting regime shifts in ecological communities.
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Ecological structures and processes occur at specific spatiotemporal scales, and interactions that occur across multiple scales mediate scale-specific (e.g., individual, community, local, or regional) responses to disturbance.

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The cross-scale resilience model states that ecological resilience is generated in part from the distribution of functions within and across scales in a system. Resilience is a measure of a system's ability to remain organized around a particular set of mutually reinforcing processes and structures, known as a regime. We define scale as the geographic extent over which a process operates and the frequency with which a process occurs.

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