The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Periphyton biomass dynamics in gravel bed rivers: the relative effects of flows and nutrients
Open accessAbstract
SUMMARY. 1. Periphyton chlorophyll a and ash free dry weight (AFDW) were monitored in nine rivers to examine the relative importance of flows and nutrients for regulating periphyton biomass in gravel bed rivers. 2. Mean annual flows in the rivers ranged from 0.94 to 169 m 3 s−1, mean dissolved reactive phophorus (DRP) from 1.3 to 68 μ g 1−1, periphytic chlorophyll a from 4.6 to 73 mg m −2. and AFDW from 2.8 to 16 g m−2. 3. For eight of the nine rivers NH 4‐N. DRP, total Kjeldahl nitrogen, total phosphorus and total suspended solids were correlated (P<0.01) with flow, and for seven rivers conductivity was inversely correlated (P<0.05) with flow. 4. There was a hyperbolic relationship between flows and biomass, with chlorophyll a >100 mg m −2 and AFDW >20 g m−2 occurring most frequently in flows of <20 m 3 s−1. 5. Floods prevented the development of medium term (i.e. up to 2 months) maxima in biomass in five of the rivers, but maxima occurred over summer‐autumn and winter‐spring in the three rivers where floods were absent. 6. Chlorophyll a biomass was more resistant to flooding than AFDW. Only 5993 of the forty‐six recorded floods caused chlorophyll a scouring, whereas 74% of the floods caused AFDW scouring. The efficiency of scour was more influenced by the pre‐flood biomass than the magnitude of the event. 7. Biomass maxima were significantly correlated (P<0.01) with mean DRP concentration during the accrual period. Overall, up to 53% of the mean annual biomass difference between rivers was explained by the mean annual DRP concentrations. However, the high correlations between nutrient concentrations and flow indicated that the nutrient data were also carrying hydrological information and that simple causal relationships between nutrients and biomass are difficult to establish in rivers. 8. It is concluded that hydrological factors contribute at least equally with nutrients to the differences in periphyton biomass between the gravel‐bed study rivers. They combined to explain up to 63.3% of the variance in biomass, compared with 57.6% for nutrients. It is recommended that periphyton data from gravel‐bed rivers should always be viewed within the context of the flow history of the site, and not just as a function of nutrient concentrations.
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Standard methods: For the examination of water and waste water
(1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90598-4 · Cited by 72,091
Study and interpretation of the chemical characteristics of natural water
(1959) · doi:10.3133/wsp1473_ed1 · Cited by 5,749
Temporal Succession in a Desert Stream Ecosystem Following Flash Flooding
Fisher, S. G., Gray, L. J., Grimm, N. B., & Busch, D. E. (1982) · Ecological Monographs · doi:10.2307/2937346 · Cited by 754
Automated analysis for nitrate by hydrazine reduction
Kamphake, L. J., Hannah, S. A., & Cohen, J. M. (1967) · Water Research · doi:10.1016/0043-1354(67)90011-5 · Cited by 640
Nitrogen Limitation in a Sonoran Desert Stream
Grimm, N. B., & Fisher, S. G. (1986) · Journal of the North American Benthological Society · doi:10.2307/1467743 · Cited by 332
Perry, M. J. (1972) · Marine Biology · doi:10.1007/bf00353639 · Cited by 279
Bothwell, M. L. (1989) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f89-166 · Cited by 252
Bothwell, M. L. (1985) · Limnology and Oceanography · doi:10.4319/lo.1985.30.3.0527 · Cited by 166
Fluorometric measurement of alkaline phosphatase activity in algae
Healey, F. P., & Hendzel, L. L. (1979) · Freshwater Biology · doi:10.1111/j.1365-2427.1979.tb01527.x · Cited by 150
Auer, M., & Canale, R. P. (1982) · Journal of Great Lakes Research · doi:10.1016/s0380-1330(82)71947-1 · Cited by 124
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Withers, P. J. A., & Jarvie, H. P. (2008) · Science of The Total Environment · doi:10.1016/j.scitotenv.2008.08.002 · Cited by 784
Interactions among phytoplankton, periphyton, and macrophytes in temperate freshwaters and estuaries
Sand-Jensen, K., & Borum, J. (1991) · Aquatic Botany · doi:10.1016/0304-3770(91)90042-4 · Cited by 697
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Self-citationNutrient limitation of epilithic and epixylic biofilms in ten North American streams
Tank, J. L., & Dodds, W. K. (2003) · Freshwater Biology · doi:10.1046/j.1365-2427.2003.01067.x · Cited by 360
Metadata
- Authors
- BIGGS, B. J. F., & CLOSE, M. E.
- Venue
- Freshwater Biology
- Publisher
- Wiley
- Published
- 1989-10
- Volume
- 22
- Issue
- 2
- Pages
- 209-231
- ISSN
- 0046-5070 (ISSN-L)
- 1365-2427
- OpenAlex
- W1989474134
- Cited by
- 446
- References
- 12
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- BIGGS, B. J. F., & CLOSE, M. E. (1989). Periphyton biomass dynamics in gravel bed rivers: the relative effects of flows and nutrients. Freshwater Biology. https://doi.org/10.1111/j.1365-2427.1989.tb01096.x
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