DOI: 10.5061/dryad.gmsbcc2jp
title: Data from: Temporal stability versus community matrix measures of stability and the role of weak interactions

description: 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 of 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.
description: The field data were collected as described in Downing et al.
 2014. The data were further processed as described in the associated
 Ecology Letters paper. Literature cited:
 Downing, A.L., Brown, B.L. & Leibold, M.A. (2014).
 Multiple diversity-stability mechanisms enhance population and community
 stability in aquatic food webs. Ecology, 95, 173–184.
description: The 15 CSV files are named for each of the 15 unique zooplankton
 species compositions as described in the associated manuscript. Each CSV
 file contains between 1-11 tanks/mesocosms, depending on how many
 tanks/mesocosms were assigned to that particular composition. 
 DAP.csv: Dap SCA.csv:
 Sca CER.csv:
 Cer DAPSCA.csv:
 Dap+Sca CER_DAP.csv: Dap+Cer CER_SCA.csv: Sca+Cer N.csv: N N_DAP.csv: N–Dap N_SCA.csv: N–Sca N_CER.csv: N–Cer N_I.csv:
 N<sub>I</sub> N_CER_DAP.csv: N–Cer–Dap N_CER_SCA.csv: N–Cer–Sca N_SCA_DAP.csv: N–Dap–Sca N_I_DAP.csv:
 N<sub>I</sub>
 –Dap Variables in the CSV
 files are as follows: TANK: The number indicates a
 particular tank or mesocosm. Multiple entries per tank are ordered by
 time. A typical temporal sequence for each tank includes 26 time points
 sampled every 4 or 5 days beginning from May 25<sup>th
 </sup>to September 19<sup>th</sup>. Time points were
 removed in some tanks with missing data resulting in some time-series with
 fewer than 26 time points. FLUCT: values indicate
 constant nutrient environment (always at 150 ug P/l) or fluctuating
 environment (ranging between 99 and 167 ug P/L over a two week cycle) to
 reflect the pulsed or constant environments. PRED:
 indicates presence of insect predators Notonectidae or Pleidae (1) or
 absence of insect predators (0). Cer_ug:
 <i>Ceriodaphnia reticulata,</i> µg dry weight per
 liter Dapp_ug: <i>Daphnia pulex,</i> µg dry
 weight per liter Sca_ug: <i>Scapholebris
 mucronaae,</i> µg dry weight per liter Clad_ug: A
 sum of small cladocerans including <i>Chydorus, Alona, Bosmina,
 Simocephalus, Diaphanosoma, </i>and others, µg dry weight per
 liter e_chl: edible algae(&lt; 35 µm) in µg
 chla/l i_chl: inedible algae (&gt; 35 µm) in µg
 chla/l