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Temporal stability vs. community matrix measures of stability and the role of weak interactions
Author(s) -
Downing Amy L.,
Jackson Craig,
Plunkett Claire,
Ackerman Lockhart Jayne,
Schlater Shan M.,
Leibold Mathew A.
Publication year - 2020
Publication title -
ecology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.852
H-Index - 265
eISSN - 1461-0248
pISSN - 1461-023X
DOI - 10.1111/ele.13538
Subject(s) - stability (learning theory) , ecological stability , matrix (chemical analysis) , mathematics , ecology , econometrics , statistical physics , statistics , biological system , computer science , biology , physics , ecosystem , chemistry , chromatography , machine learning
Abstract Relationships between different measures of stability are not well understood in part because empiricists and theoreticians tend to measure different aspects and most studies only explore a single form of stability. Using time‐series data from experimental plankton communities, we compared temporal stability typically measured by empiricists (coefficient of variation in biomass) to stability measures typically measured by theoreticians derived from the community matrix (asymptotic resilience, initial resilience and intrinsic stochastic invariability) using first‐order multivariate autoregressive models (MAR). Community matrices were also used to derive estimates of interaction strengths between plankton groups. We found no relationship between temporal stability and stability measures derived from the community matrix. Weaker interaction strengths were generally associated with higher stability for community matrix measures of stability, but were not consistently associated with higher temporal stability. Temporal stability and stability measures derived from the community matrix stability appear to represent different aspects of stability reflecting the multi‐dimensionality of stability.