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  • Title:  Benthic metabolism responses to environmental attributes at multiple scales and its linkage to algal community structure in streams
  • Authors: 
  • Corresponding Author:  Tan, Xiang*; Hou, Enqing; Zhang, Quanfa; Bunn, Stuart E.
  • Pubyear:  2021
  • Title of Journal:  Hydrobiologia
  • Paper Code: 
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    Abstract:

  • Human activities have increasingly impacted rivers globally and influence environmental factors at multiple scales: proximal factors (e.g., light and nutrients) and distal controls (e.g., riparian cover and forest area in the basin) that affect benthic metabolism or algal assemblage structure. Function and structure have been studied separately and thus the linkage between them is not well understood. Furthermore, how much of the variability of benthic metabolism can be explained by changes in the environmental variables is inconclusive. We measured the structural and metabolism of epilithic algae in streams across gradients of catchment forest cover (3.5 to 88.6%) and riparian zone canopy cover (0 to 91.0%) in South East Queensland, Australia. Overall net daily metabolism (NDM) on cobbles was positive (gross primary production, GPP exceeded respiration, R) for all but three of the 34 sites. Chl a biomass of benthic algae on cobbles ranged from 1.37 to 178.05 mg m(-2). Shaded streams had the highest percentage of diatoms (95.4%), while the least shaded streams were dominated by cyanobacteria (82.2%). Partial least squares (PLS) regression modeling showed that most of the variation in GPP, R, and NDM was explained by light intensity (photosynthetic photon flux density, PPFD), phosphorus concentration in water, water temperature, and the percentage of mid-dense forest upstream of the site. Path analysis (structural equation modeling, SEM) indicated that, as a surrogate for metabolism, diatom (Bacillariophyta) density was the best predictor of GPP and NDM when we assessed the environmental process in the streams. In comparison, Chl a, which has been traditionally used as a surrogate for measurements of GPP or NDM, performed well only when the percentage of diatoms in the epilithic algal community exceeded 75%. Our results also indicated that both the structure and function of benthic algal communities were sensitive to anthropogenic modifications, including riparian vegetation and forest cover in the catchment in river ecosystems.
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