Deterministic and stochastic processes in natural and modified
floodplain habitats: consequences for fish community temporal dynamics
Abstract
Habitat degradation is expected to alter community structure and
consequently, ecosystem functions including the maintenance of
biodiversity. Understanding the underlying abiotic and biotic assembly
mechanisms controlling temporal and spatial community structure and
patterns is a central issue in biodiversity conservation. In this study,
using monthly time series of benthic fish data collected over a
three-year period, we compared the temporal community dynamics in
natural and modified habitats in one of the largest river-lake
floodplain ecosystems in China, the Dongting Lake. We found a prevailing
strong positive species covariance, i.e. species abundance changes in
the same way, in all communities that was significantly negatively
impacted by water nutrients levels. The positive species covariance,
which was consistent for both wet and dry years and among habitat types,
had significantly negative effects on community stability, which was
measured by the average of aggregated abundance divided by temporal
standard deviation. In contrast to species covariance, community
stability was significantly higher in modified habitats than in natural
habitats. Furthermore, our results demonstrated that the ecological
stochasticity (i.e. community assembly processes generating diversity
patterns that are indistinguishable from random chance) was
significantly higher at natural sites than at the modified sites,
suggesting that deterministic processes might control the community
composition (richness and abundance) at the modified habitat through
reducing species synchrony and positive species covariance observed in
the natural habitats. When combined, our results suggest that human
habitat modification creates environmental conditions for the
development of stable benthic fish community in the highly dynamic
floodplains, leading to niche-based community and decrease of temporal
β-diversity.