tsvr

tsvr quantifies timescale-specific compensatory versus synchronous dynamics by decomposing the classical variance ratio to assess ecological stability across temporal scales.


Key Features:

  • Timescale-specific variance ratio decomposition: Decomposes the classical variance ratio into contributions attributable to distinct temporal scales to separate compensatory and synchronous dynamics.
  • Variance ratio foundation: Retains the comparison of community variance to aggregate population variance from the classical variance ratio framework.
  • Timescale-specificity metric: Computes a metric that quantifies timescale-specificity and relates it back to the classic variance ratio.
  • Implementation: Implemented as an R package accompanying the research paper (DOI: 10.1101/742510).
  • Cross-system applicability: Applicable to analyses in aquatic and terrestrial ecological systems.

Scientific Applications:

  • Detecting compensatory dynamics: Identifies whether communities exhibit compensatory (anti-synchronous) or synchronous fluctuations at specific temporal scales.
  • Long-term community analysis: Applied to long-term, multi-site grassland community time series to evaluate timescale-dependent variability.
  • Comparing population and community variability: Enables comparison of population-level variability and community-level variability across short and long timescales.
  • Informing ecological stability theory: Provides quantitative insight into how timescale-specific dynamics contribute to ecological stability and conservation considerations.

Methodology:

Decomposes the classical variance ratio into timescale-specific contributions, computes a metric quantifying timescale-specificity and relates results back to the classic variance ratio; implemented in R.

Topics

Details

Programming Languages:
R
Added:
11/14/2019
Last Updated:
12/31/2020

Operations

Publications

Zhao L, Wang S, Hallett LM, Rypel A, Sheppard LW, Castorani MC, Shoemaker LG, Cottingham KL, Suding K, Reuman DC. A new variance ratio metric to detect the timescale of compensatory dynamics. Unknown Journal. 2019. doi:10.1101/742510.