دورية أكاديمية
Improved predictability of peak periphyton in rivers using site-specific accrual periods and long-term water quality datasets.
| العنوان: | Improved predictability of peak periphyton in rivers using site-specific accrual periods and long-term water quality datasets. |
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| المؤلفون: | Kilroy C; NIWA, PO Box 8602, Christchurch 8440, New Zealand. Electronic address: cathy.kilroy@niwa.co.nz., Stephens T; DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand., Greenwood M; NIWA, PO Box 8602, Christchurch 8440, New Zealand., Wech J; NIWA, PO Box 8602, Christchurch 8440, New Zealand., Brown L; Horizons Regional Council, Private Bag 11025, Manawatū Mail Centre, Palmerston North 4442, New Zealand., Matthews A; Horizons Regional Council, Private Bag 11025, Manawatū Mail Centre, Palmerston North 4442, New Zealand., Patterson M; Horizons Regional Council, Private Bag 11025, Manawatū Mail Centre, Palmerston North 4442, New Zealand., Patterson M; Horizons Regional Council, Private Bag 11025, Manawatū Mail Centre, Palmerston North 4442, New Zealand. |
| المصدر: | The Science of the total environment [Sci Total Environ] 2020 Sep 20; Vol. 736, pp. 139362. Date of Electronic Publication: 2020 May 14. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam, Elsevier. |
| مواضيع طبية MeSH: | Periphyton*, Chlorophyll/analysis ; Chlorophyll A ; Environmental Monitoring ; New Zealand ; Nitrogen ; Water Quality |
| مستخلص: | Prevention of excessive periphyton standing crop (quantified as chlorophyll a) is among primary objectives for river management. Defensible instream nutrient criteria to achieve periphyton chlorophyll a targets at the site scale require robust predictive models. Such models have proved elusive because peak chlorophyll a depends on multiple factors in addition to nutrients. A key predictor may be accrual period, which depends on river flow variability and the flow magnitudes (effective flows, EF) at which periphyton biomass removal is initiated. In this study we used a seven-year dataset from 44 gravel-bed river sites in the Manawatū-Whanganui region, New Zealand, to explore the relative importance of accrual period, nutrients, and other variables in explaining peak chlorophyll a, using a regression approach. We also assessed the effect of combining data from multiple years. Previous empirical studies have used a universal flow metric (3 × median flow) to define accrual period (Da3). We calculated site-specific EF, which varied from 2 × to 15 × median flow. Accrual period based on EF (DaEF) outperformed Da3 in models. However, in the study region, more variance in chlorophyll a was explained by conductivity (EC) and dissolved inorganic nitrogen (DIN) than by DaEF. The best models derived from multi-year datasets included EC, DIN and DaEF as predictors and accounted for up to 82% of the variance in peak chlorophyll a. Models from annual data were weaker and more variable in strength and predictors. The models indicated that EC and DaEF should be considered when setting DIN criteria for periphyton outcomes in the study region. The principles we used in developing the models may have broad relevance to the management of periphyton in other regions. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2020 Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Accrual period; Chlorophyll a; Conductivity; Empirical relationships; Nutrient criteria |
| المشرفين على المادة: | 1406-65-1 (Chlorophyll) N762921K75 (Nitrogen) YF5Q9EJC8Y (Chlorophyll A) |
| تواريخ الأحداث: | Date Created: 20200605 Date Completed: 20200710 Latest Revision: 20200710 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1016/j.scitotenv.2020.139362 |
| PMID: | 32497893 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1879-1026 |
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| DOI: | 10.1016/j.scitotenv.2020.139362 |