Bioenergetic and developmental response of a mayfly to thermal variation 1

Sweeney, Bernard W.

doi:10.4319/lo.1978.23.3.0461

Cited by 117 publications

(84 citation statements)

References 19 publications

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“…High water temperatures are an important factor limiting the distribution of aquatic species (i.e., fish and macroinvertebrates) in riverine systems (e.g., Becker and Genoway, 1979;Sweeney, 1978). Hence, the aim of this work was to focus on the implementation and validation of a number of different statistical approaches to estimate monthly maximum water temperature at ungauged sites in the semi-arid Okanagan Valley of south-central British Columbia (BC), Canada.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Modelling of Water Temperature in the Okanagan Watershed

Daigle¹,

St‐Hilaire²,

Peters³

et al. 2010

Canadian Water Resources Journal

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Abstract:Initiatives for the protection of river ecosystems must include the monitoring of key flow and water quality variables, as well as clear and quantifiable management goals. One variable which strongly influences water quality is water temperature, and its modification arising from human activity should be incorporated into ecosystem protection guidelines. This work, conducted as part of the Canadian National Agri-Environmental Standards Initiative (NAESI) program, presents a preliminary study investigating statistical regression methods and a geostatistical approach to model key water temperature characteristics that could assist in the development of standards. Water temperature time series recorded at 16 sites in the Okanagan watershed were used to develop the models. Monthly maxima were modelled for the period of April-September 2007 using four predictors: the site longitude, the drainage basin maximum altitude, the local slope at the station, and the log of the mean substrate diameter. Four types of multivariate regressions of monthly maxima were produced, and a leave-one-out resampling approach was used to validate the models. Relative Bias, Root Mean Square Errors (RMSE) and a corrected Akaike Information Criterion (AICc) were calculated for each month. Models gave RMSE values between 0.9°C and 2.1°C for the monthly maxima. All models generally performed best between May and July. Geostatistical interpolation of maxima was also performed in a multivariate physiographic space reduced to two orthogonal dimensions using canonical correlation analysis (CCA). Examples of interpolated maps show that the approach can be used to discriminate between warm and cool streams.Résumé : Toute initiative pour la préservation des écosystèmes en rivière devrait impliquer un suivi de variables de qualité de l'eau et de son régime hydrologique, de même que des objectifs quantitatifs clairs. La température de l'eau est une variable ayant un impact fondamental sur sa qualité et devrait, en tant que telle, être prise en compte dans le développement d'un plan de préservation. Le travail présenté ici, mené dans le cadre du programme d'Initiative sur les normes agroenvironnementales nationales (INAEN), est une étude préliminaire de faisabilité quant à l'utilisation de différents modèles de régression et d'une approche géostatistique pour la modélisation de statistiques descriptives de la température 238 Canadian Water Resources Journal/Revue canadienne des ressources hydriques

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Section: Introductionmentioning

confidence: 99%

Multivariate Modelling of Water Temperature in the Okanagan Watershed

Daigle¹,

St‐Hilaire²,

Peters³

et al. 2010

Canadian Water Resources Journal

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“…In addition, suspended sediments, which can be positively associated with nutrients, can settle on the stream bottom and coat the respiratory organs or gills of sensitive biota (Lemly 1982). Increases in stream temperature associated with removal of riparian trees in impacted systems also can cause respiratory stress (Sweeney 1978) and alter growth and development (Hogg and Williams 1996). All of these mechanisms can play a role in reducing macroinvertebrate diversity in nutrient-enriched streams.…”

mentioning

confidence: 99%

Thresholds in macroinvertebrate biodiversity and stoichiometry across water-quality gradients in Central Plains (USA) streams

Evans‐White

Dodds

Huggins³

et al. 2009

Journal of the North American Benthological Society

116

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Abstract. N and P often limit primary and secondary production in ecosystems, but they also can cause eutrophication and negatively influence sensitive species above a certain level or threshold point. Aquatic biodiversity can have negative threshold relationships with water-quality variables at large scales, but the specific mechanism(s) driving these threshold relationships are not well established. We hypothesized that resource quality (i.e., C:P) might partly drive primary consumer (grazer and detritivore) richness thresholds by altering competitive interactions among species with differing resource demands, but might have less influence on predator richness. We estimated total N (TN), total P (TP), and turbidity thresholds for macroinvertebrate richness across trophic levels and feeding groups in Central Plains (USA) streams. We also determined if mean taxon body C:P of groups with diversity losses were negatively related to TP, a pattern that would suggest that eutrophic communities were dominated by a few species with high dietary P demands. Primary consumers were more sensitive to TN and TP (threshold mean = 1.0 mg N/L and 0.06 mg P/L) than secondary consumers (threshold mean = 0.09 mg P/L), a result supporting the resource quality hypothesis. Turbidity reduced richness regardless of feeding mode (threshold mean = 4.7 NTU), a result suggesting that turbidity and nutrient thresholds were driven by different factors. The TP-richness threshold could be driven partially by changes in food quality because the mean body C:P of shredding and collector-gathering taxa declined as TP increased (threshold mean = 0.07 and 0.75 mg P/L, respectively). Mean scraper C:P was not related to TP, a result indicating other factors might be responsible for the scraper richness threshold. Our results suggest that changes in resource quality could contribute to large-scale losses in biodiversity in nutrient-enriched lotic ecosystems. Within shredder and collectorgatherer macroinvertebrate feeding groups, P-rich food might allow faster growing taxa with high body P demands to out-compete slower growing taxa adapted to lower quality food resources. This pattern suggests that biotic integrity is directly linked to nutrients in streams and that toxicity, low dissolved O 2 , and increased turbidity might not be the only mechanisms leading to reductions in diversity as nutrient concentrations increase.

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“…We originally expected daily average temperature and algal cover to have significant contributions as predictors to the abundance of the taxa; temperature especially has been found to be a driver of aquatic invertebrate community composition and taxa abundance (Newell and Minshall 1978;Sweeney 1978;Burgmer et al 2006). However, average daily temperature was only identified as a predictor for Psephenus without elevation.…”

Section: Discussionmentioning

confidence: 99%

Interactions between macroinvertebrate taxa and complex environmental gradients influencing abundance and distribution in the Umatilla River, Northeastern Oregon

Scherr

Wooster²,

Rao

2011

Journal of Freshwater Ecology

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Non-parametric multiplicative regression was used to develop regression models for six macroinvertebrate genera present in the Umatilla River in northeastern Oregon. For all taxa, elevation, turbidity, and conductivity were identified as predictors. They described between 25.5% and 63.4% of the variation in the abundance of the six taxa. Sensitivity analysis of the parameters showed the relative importance of the model parameters as predictors of abundance, with conductivity having a broader range of sensitivity values than either elevation or turbidity. Daily average temperature, percentage of algal cover, depth, and width were also shown to be possible predictors of taxa abundance. As all the variables examined in this study are potentially impacted by non-target effects of agriculture in rivers, these results indicated that agriculture disturbance in the adjacent landscape affects the abundance and distribution of benthic indicator taxa.

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Bioenergetic and developmental response of a mayfly to thermal variation 1

Cited by 117 publications

References 19 publications

Multivariate Modelling of Water Temperature in the Okanagan Watershed

Multivariate Modelling of Water Temperature in the Okanagan Watershed

Thresholds in macroinvertebrate biodiversity and stoichiometry across water-quality gradients in Central Plains (USA) streams

Interactions between macroinvertebrate taxa and complex environmental gradients influencing abundance and distribution in the Umatilla River, Northeastern Oregon

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