Testing the veracity of space-for-time-substitution surveys in modeling long-term zooplankton community dynamics
Ivanick, Lia J
Ivanick, Lia J
Citations
Altmetric:
License
1
License
DOI
Abstract
Space-for-Time-substitution surveys (SFTS) are commonly used to describe zooplankton communities and model their response to environmental change. The approach typically uses single observations from many lakes to evaluate how zooplankton metrics (e.g. density, diversity indices) respond to spatial gradients in environmental forcing (e.g. temperature, nutrients). However, SFTS zooplankton surveys have not yet been tested for their reproducibility. We compiled global lake time series to test whether SFTS surveys capture long-term zooplankton patterns by resampling the datasets under different SFTS permutations. Preliminary results indicate that relationships from SFTS designs are not reproducible and SFTS designs should therefore be used with caution.
Description
Undergraduate
Date
2022-01-01
