Effects of urbanization on stream quality at selected sites in the seacoast region in New Hampshire, 2001-03

Deacon, Jeffrey R.; Soule, Sally; Smith, Thor E.

doi:10.3133/sir20055103

Cited by 19 publications

(21 citation statements)

References 5 publications

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“…These results suggest that site selection, including watershed condition, and design procedures and decisions made by the project managers and designers have an influence on the biological outcome of the stream restoration project. Further, this study confirms the influence of watershed condition on macroinvertebrate community metrics that is previously well documented [32,36,54].…”

Section: Discussionsupporting

confidence: 72%

“…The percent of urban land in the buffer zones just upstream of sampling sites correlated the highest with stream quality variables tested. Water quality and habitat, biological condition, and taxa richness showed a significant decline in the range of 7%-14% impervious cover, as determined by Deacon et al [32], which is consistent with the point of decline reported by others compiled by Schueler [24]. In contrast, Booth et al [33] found that neither impervious area nor riparian condition alone may predict the biological condition of stream sites located in western Washington State.…”

Section: Introductionsupporting

confidence: 41%

“…A study of 10 New Hampshire coastal streams observed a general decline in macroinvertebrate community metrics as the watersheds shifted from a dominant land cover of forest to urban [32]. In addition, higher concentrations of most water contaminants were associated with higher percent impervious cover.…”

Section: Introductionmentioning

confidence: 99%

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Identifying Watershed, Landscape, and Engineering Design Factors that Influence the Biotic Condition of Restored Streams

Doll

Jennings

Spooner

et al. 2016

Water

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Abstract:Restored stream reaches at 79 sites across North Carolina were sampled for aquatic macroinvertebrates using a rapid bioassessment protocol. Morphological design parameters and geographic factors, including watershed and landscape parameters (e.g., valley slope, substrate), were also compiled for these streams. Principal component regression analyses revealed correlations between design and landscape variables with macroinvertebrate metrics. The correlations were strengthened by adding watershed variables. Ridge regression was used to find the best-fit model for predicting dominant taxa from the "pollution sensitive" orders of Ephemeroptera (mayflies), Plecoptera (stoneflies), and Trichoptera (caddisflies), or EPT taxa, resulting in coefficient weights that were most interpretable relative to site selection and design parameters. Results indicate that larger (wider) streams located in the mountains and foothills where there are steeper valleys, larger substrate, and undeveloped watersheds are expected to have higher numbers of dominant EPT taxa. In addition, EPT taxa numbers are positively correlated with accessible floodplain width and negatively correlated with width-to-depth ratio and sinuosity. This study indicates that both site selection and design should be carefully considered in order to maximize the resulting biotic condition and associated potential ecological uplift of the stream.

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Section: Discussionsupporting

confidence: 72%

Section: Introductionsupporting

confidence: 41%

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Identifying Watershed, Landscape, and Engineering Design Factors that Influence the Biotic Condition of Restored Streams

Doll

Jennings

Spooner

et al. 2016

Water

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“…As little as 10% impervious cover has been linked to stream degradation, with the severity increasing as impervious cover increases [21]. Urban cover or impervious cover can result in increased peak discharges [22], channel enlargement [23,24] and associated erosion, a decline in water quality and habitat as well as a decline in macroinvertebrate community metrics [7]. Booth [6] concluded that biological condition was highly variable with low levels of anthropogenic development, but was consistently poor at high levels of impervious cover percentage and associated urban cover.…”

Section: Watershed Links To Stream Conditionmentioning

confidence: 99%

Can Rapid Assessments Predict the Biotic Condition of Restored Streams?

Doll

Jennings

Spooner

et al. 2016

Water

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Five rapid visual stream assessment methods were applied to 65 restored streams in North Carolina, and the results were correlated with measured macroinvertebrate community metrics to evaluate predictive ability. The USEPA Rapid Bioassessment Protocol (RBP), USDA Stream Visual Assessment Protocol (SVAP), Peterson's Riparian Channel and Environmental Inventory (RCE), NCSU Eco-Geomorphological Assessment (EGA), and NCSU Stream Performance Assessment (SPA) were applied by teams with expertise in hydrology, fluvial geomorphology, and aquatic ecology. Predictions of most macroinvertebrate metrics were improved by re-weighting assessment variables using principal component analysis (PCA) and including watershed factors (e.g., size, slope, land use). The correlations of EGA, RCE, SPA and SVAP assessment results to macroinvertebrate metrics were most improved by variable re-weighting using PCA, while the correlations of RBP were most improved by adding watershed parameters. Akaike's Information Criterion (AIC) indicates that PCA re-weighting including watershed parameters improves the predictor model for the total number of dominant EPT taxa more than using the sum total raw points for all five assessment methods. To demonstrate the application of the study results, a single-value index was generated for the RBP method using principal component regression (PCR) based on the EPT (Ephemeroptera, Plecoptera and Trichoptera) taxa metric.

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“…It generally increases the proportion of impervious surface, which decreases infiltration and groundwater recharge and changes the patterns of surface and river runoff (Niemczynowick, 1999;Allan, 2004), thus changing the underground water flow (Paul and Meyer, 2001). The increase in pollutants that flows into the river system decreases the biodiversity (Allan, 2004;Deacon et al, 2005). In addition, the urban pollution can have a significant impact on the river's sensitive invertebrate diversity, as does alteration to the riparian vegetation (Walsh et al, 2007).…”

mentioning

confidence: 99%

Recent Land Use Changes on an Urban Watershed in Moncton, New Brunswick, Canada

LeBlanc

Fortin

2016

eue

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Changes in land use, which threaten ecosystems and habitats, have an impact on run-off and water quality on urban areas. Using a GIS program we have classified the land use of the Humphreys Brook watershed and quantified the changes that have occurred using landscape metrics. A rapid growth of the city emerges from our results. All land use types of urban nature have seen an increase in surface areas to the detriment of natural land uses. Moreover the landscape indices are showing signs of rectangularity, where humans have introduced straight edges, and other common processes of transformation to the landscape.L’urbanisation a divers impacts sur l’environnement. Une classification de l’utilisation du sol a été réalisée à l’aide d’un SIG pour le bassin versant du ruisseau Humphrey. Nos résultats indiquent une croissance rapide de la ville, qui figure d’ailleurs parmi les plus villes ayant le taux de croissance le plus rapide au Canada. Tous les types d’utilisation du sol qui caractérisent le paysage urbain ont connu une hausse au détriment des types plutôt naturels. Finalement des indices du paysage ont permis de détecter des signes de rectangularité résultant d’activités humaines

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Effects of urbanization on stream quality at selected sites in the seacoast region in New Hampshire, 2001-03

Cited by 19 publications

References 5 publications

Identifying Watershed, Landscape, and Engineering Design Factors that Influence the Biotic Condition of Restored Streams

Identifying Watershed, Landscape, and Engineering Design Factors that Influence the Biotic Condition of Restored Streams

Can Rapid Assessments Predict the Biotic Condition of Restored Streams?

Recent Land Use Changes on an Urban Watershed in Moncton, New Brunswick, Canada

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