Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams

Ponader, Karin C.; Charles, Donald F.; Belton, Thomas J.

doi:10.1016/j.ecolind.2005.10.003

Cited by 91 publications

(53 citation statements)

References 26 publications

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“…But in our study the model for TP fitted the data poorly. The poor performance of this model may be caused by the relatively low range of TP concentrations (0.0012-0.0214 mg l -1 ) compared to other studies, for example, Leland and Porter (2000): 0.055-1.4 mg l -1 , Winter and Duthie (2000): 0.0132-0.1549 mg l -1 , Ponader et al (2007): 0.0253-0.1630 mg l -1 .…”

Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 84%

“…Compared to some publications that specify nitrogen optima for benthic algae of rivers (Christie and Smol 1993;Leland 1995;Winter and Duthie 2000;Leland et al 2001;Ponader et al 2007), the TN WA model present here (n = 32) shows significant correlation and low apparent RMSE, which indicated the model was reliable.…”

Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 95%

“…Numerous studies have reported that nutrients, particularly P, are important for algal growth (Pan et al 1996), and many TP WA models have been developed (Winter and Duthie 2000;Leland and Porter 2000;Ponader et al 2007). But in our study the model for TP fitted the data poorly.…”

Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 99%

“…These factors include geomorphic characteristics (Leland and Porter 2000), eco-climate (Weckström and Korhola 2001), hydrological regime, land use in the watershed (Leland and Porter 2000), instream nutrients such as N and P (Millie et al 2002;Tang et al 2002), and prey pressure (Anderson et al 1999). Furthermore, there have been numerous studies describing benthic algae community composition and relationships with environmental attributes in lakes, ponds, and rivers over the past several years (e.g., Douglas and Smol 1995;Laing and Smol 2000;Leland and Porter 2000;Soininen et al 2004;Kilroy et al 2006Kilroy et al , 2007Ponader et al 2007). …”

Section: Introductionmentioning

confidence: 99%

“…Naymik et al (2005) examined the relationship between benthic diatom composition and timber harvest, and found that diatom assemblages may be useful in assessing the long-term impact of timber harvest within coastal Oregon watersheds. Ponader et al (2007) evaluated the potential for using diatoms to assess and monitor nutrient enrichment in New Jersey streams and assessed the relationship between benthic diatom and water chemistry samples. Multivariate analysis showed that nutrient concentrations explained significant proportions of the variation in diatom species composition.…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution of benthic algae in the Gangqu River, Shangrila, China

Tang

Cai

2007

Aquat Ecol

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This study consisted of sampling benthic algae at 32 sites in the Gangqu River, an important upstream tributary of the Yangtze River. Our aims were to characterize the benthic algae communities and relationships with environmental variables. Among the 162 taxa observed, Achnanthes linearis and Achnanthes lanceolata var. elliptica were the dominant species (17.10% and 14.30% of the total relative abundance, respectively). Major gradients and principal patterns of variation within the environmental variables were detected by principal component analysis (PCA). Then non-metric multidimensional scaling (NMS) divided all the sites into three groups, which were validated by multi-response permutation procedures (MRPP). Canonical correspondence analysis (CCA) indicated that three environmental variables (TN, TDS, and TP) significantly affected the distribution of benthic algae.Weighted averaging regression and cross-calibration produced strong models for predicting TN and TDS concentration, which enabled selection of algae taxa as potentially sensitive indicators of certain TN and

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Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 84%

Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 95%

Section: Benthic Algae As Indicators-inference Model Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial distribution of benthic algae in the Gangqu River, Shangrila, China

Tang

Cai

2007

Aquat Ecol

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Spatial Pattern of Benthic Diatoms and Water Quality Assessment Using Diatom Indices in a Subtropical River, China

Xiang

Xia

et al. 2013

CLEAN Soil Air Water

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River systems constitute areas of high human population densities owing to their favourable conditions for agriculture, water supply and transportation network. Despite human dependence on river systems, anthro-pogenic activities severely degrade water quality. The main aim of this study was to assess the river health of Ngamo River using diatom and macroinvertebrate community structure based on multivariate analyses and community metrics. Ammonia, pH, salinity, total phosphorus and temperature were found to be significantly different among the study seasons. The diatom and macroinvertebrate taxa richness increased downstream suggesting an improvement in water as we moved away from the pollution point sources. Canonical correspondence analyses identified nutrients (total nitrogen and reactive phosphorus) as important variables structuring diatom and macroinverte-brate community. The community metrics and diversity indices for both bioindicators highlighted that the water quality of the river system was very poor. These findings indicate that both methods can be used for water quality assessments, e.g. sewage and agricultural pollution, and they show high potential for use during water quality monitoring programmes in other regions.

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A Method and Rationale for Deriving Nutrient Criteria for Small Rivers and Streams in Ohio

Miltner

2010

Environmental Management

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A mechanistic understanding of the effects of nutrient enrichment in lotic systems has been advanced over the last two decades such that identification of management thresholds for the prevention of eutrophication is now possible. This study describes relationships among primary nutrients (phosphorus and nitrogen), benthic chlorophyll a concentrations, daily dissolved oxygen (DO) concentrations, and the condition of macroinvertebrate and fish communities in small rivers and streams in Ohio, USA. Clear associations between nutrients, secondary response indicators (i.e., benthic chlorophyll and DO), and biological condition were found, and change points between the various indicators were identified for use in water quality criteria for nutrients in small rivers and streams (<1300 km(2)). A change point in benthic chlorophyll a density was detected at an inorganic nitrogen concentration of 0.435 mg/l (+/-0.599 SD), and a total phosphorus (TP) concentration of 0.038 mg/l (+/-0.085 SD). Daily variation in DO concentration was significantly related to benthic chlorophyll concentration and canopy cover, and a change point in 24-h DO concentration range was detected at a benthic chlorophyll level of 182 mg/m(2). The condition of macroinvertebrate communities was related to benthic chlorophyll concentration and both minimum and 24-h range of DO concentration. The condition of fish communities was best explained by habitat quality. The thresholds found in relationships between the stressor and the response variables, when interpreted in light of the uncertainty surrounding individual change points, may now serve as a framework for nutrient criteria in water quality standards.

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Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams

Cited by 91 publications

References 26 publications

Spatial distribution of benthic algae in the Gangqu River, Shangrila, China

Spatial distribution of benthic algae in the Gangqu River, Shangrila, China

Spatial Pattern of Benthic Diatoms and Water Quality Assessment Using Diatom Indices in a Subtropical River, China

A Method and Rationale for Deriving Nutrient Criteria for Small Rivers and Streams in Ohio

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