Hydrobiologia

, Volume 572, Issue 1, pp 89–102

Measures of Nutrient Processes as Indicators of Stream Ecosystem Health

Authors

    • Cooperative Research Centre for Freshwater Ecology, Centre for Riverine LandscapesGriffith University
    • Centre for Water Studies, School of EngineeringUniversity of Queensland
  • Christine S. Fellows
    • Cooperative Research Centre for Freshwater Ecology, Centre for Riverine LandscapesGriffith University
  • Michael E. Bartkow
    • Cooperative Research Centre for Freshwater Ecology, Centre for Riverine LandscapesGriffith University
  • Stuart E. Bunn
    • Cooperative Research Centre for Freshwater Ecology, Centre for Riverine LandscapesGriffith University
  • Joanne E. Clapcott
    • Cooperative Research Centre for Freshwater Ecology, Centre for Riverine LandscapesGriffith University
    • School of ZoologyUniversity of Tasmania
  • Bronwyn D. Harch
    • CSIRO Mathematical and Information Sciences
Article

DOI: 10.1007/s10750-005-9006-1

Cite this article as:
Udy, J.W., Fellows, C.S., Bartkow, M.E. et al. Hydrobiologia (2006) 572: 89. doi:10.1007/s10750-005-9006-1

Abstract

To better understand how freshwater ecosystems respond to changes in catchment land-use, it is important to develop measures of ecological health that include aspects of both ecosystem structure and function. This study investigated measures of nutrient processes as potential indicators of stream ecosystem health across a land-use gradient from relatively undisturbed to highly modified. A total of seven indicators (potential denitrification; an index of denitrification potential relative to sediment organic matter; benthic algal growth on artificial substrates amended with (a) N only, (b) P only, and (c) N and P; and δ15N of aquatic plants and benthic sediment) were measured at 53 streams in southeast Queensland, Australia. The indicators were evaluated by their response to a defined gradient of agricultural land-use disturbance as well as practical aspects of using the indicators as part of a monitoring program. Regression models based on descriptors of the disturbance gradient explained a large proportion of the variation in six of the seven indicators. Denitrification index, algal growth in N amended substrate, and δ15N of aquatic plants demonstrated the best regression. However, the δ15N value of benthic sediment was found to be the best indicator overall for incorporation into a monitoring program, as samples were relatively easy to collect and process, and were successfully collected at more than 90% of the study sites.

Keywords

denitrificationstable nitrogen isotopeschlorophyll acatchment disturbance

Copyright information

© Springer 2006