TY - JOUR
T1 - Cotton-strip decomposition rate as a river condition indicator - Diel temperature range and deployment season and length also matter
AU - DYER, Fiona
AU - MAHER, Bill
AU - Norris, Richard
N1 - Funding Information:
Funding for this research was provided by ACTEW Water and the Institute for Applied Ecology, University of Canberra . The authors also thank volunteers Kaveh Bijad, Maureen Binet, Jordan Crabbe, Elise Furlan, Sally Hatton, Jarrod Kath, Chris Levings, Jamie Priest, Larissa Schneider, Lucy Tunks, Rod Ubrihien, Chamani Marasinghe Wadige and Matthew Young for their assistance with fieldwork; David Tychsen-Smith and Zbigniew Stachurski (Research School of Engineering, ANU) for assistance with tensile-strength measurements; the rangers of the Namadgi National Park and Bimberi Nature Reserve for facilitating data collection within protected areas and land-holders for facilitating access to study sites.
PY - 2014
Y1 - 2014
N2 - Decomposition of organic matter, a fundamental ecological process, has been proposed to be used as a functional indicator of stream condition. A recently published protocol for the use of the cotton-strip assay as a standardized measure of decomposition rates provided a basis for the use of decomposition as an indicator. However, some factors that may influence the application of the cotton-strip assay, such as the deployment season, remain largely unexplored. To further establish the technique, we studied temporal and spatial variability in cotton-strip decomposition rates along small upland rivers in SE Australia. We found a consistent longitudinal pattern in decomposition rates throughout the year, inspite of large within-site and site-specific temporal variability. Results from the models of temporal variability in decomposition rates indicate that differences in the duration of incubation might have been a confounding variable. Models of spatial variability in decomposition rates explained 45% and 52% of the variability in decomposition rates across five rivers, with diel temperature range being the most important predictor, accounting for ca. 20% of the variability in decomposition rates. We have shown that additional considerations are needed, if decomposition rates are to be compared across spatial and temporal scales. First, large within-site variability in decomposition rates, found in our and other studies,might prevent comparisons with reference conditions. Second, the length (and therefore the season) of cotton-strip deployment needs to be specified, since the exponential decomposition coefficient appears not to be a constant throughout time. Third, diel temperature range needs to be considered when establishing sampling protocols, since the exponential decay coefficient appears to change non-linearly with changing temperature, and therefore, using only daily mean temperatures does not realistically reflect the effect of temperature. The importance of temperature range also has implications for stream rehabilitation, showing that restoring the temperature regime contributes to the restoration of a fundamental ecosystem process.
AB - Decomposition of organic matter, a fundamental ecological process, has been proposed to be used as a functional indicator of stream condition. A recently published protocol for the use of the cotton-strip assay as a standardized measure of decomposition rates provided a basis for the use of decomposition as an indicator. However, some factors that may influence the application of the cotton-strip assay, such as the deployment season, remain largely unexplored. To further establish the technique, we studied temporal and spatial variability in cotton-strip decomposition rates along small upland rivers in SE Australia. We found a consistent longitudinal pattern in decomposition rates throughout the year, inspite of large within-site and site-specific temporal variability. Results from the models of temporal variability in decomposition rates indicate that differences in the duration of incubation might have been a confounding variable. Models of spatial variability in decomposition rates explained 45% and 52% of the variability in decomposition rates across five rivers, with diel temperature range being the most important predictor, accounting for ca. 20% of the variability in decomposition rates. We have shown that additional considerations are needed, if decomposition rates are to be compared across spatial and temporal scales. First, large within-site variability in decomposition rates, found in our and other studies,might prevent comparisons with reference conditions. Second, the length (and therefore the season) of cotton-strip deployment needs to be specified, since the exponential decomposition coefficient appears not to be a constant throughout time. Third, diel temperature range needs to be considered when establishing sampling protocols, since the exponential decay coefficient appears to change non-linearly with changing temperature, and therefore, using only daily mean temperatures does not realistically reflect the effect of temperature. The importance of temperature range also has implications for stream rehabilitation, showing that restoring the temperature regime contributes to the restoration of a fundamental ecosystem process.
KW - Cotton strips
KW - Decomposition
KW - Temporal variability
KW - Diel temperature range
KW - Temperature oscillations
KW - Ecological assessment.
KW - Ecological assessment
UR - http://www.scopus.com/inward/record.url?scp=84902355550&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/cottonstrip-decomposition-rate-river-condition-indicator-diel-temperature-range-deployment-season-le
U2 - 10.1016/j.ecolind.2014.05.011
DO - 10.1016/j.ecolind.2014.05.011
M3 - Article
SN - 1470-160X
VL - 45
SP - 508
EP - 521
JO - Ecological Indicators
JF - Ecological Indicators
ER -