Multiple-stressor effects of sediment, phosphorus and nitrogen on stream macroinvertebrate communities

Davis, Stephen J.; hUallacháin, Daire Ó; Mellander, Per‐Erik; Kelly, Ann-Marie; Matthaei, Christoph D.; Piggott, Jeremy J.; Kelly‐Quinn, Mary

doi:10.1016/j.scitotenv.2018.05.052

Cited by 47 publications

(24 citation statements)

References 56 publications

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“…On-field, prevention of low groundcover periods, for example by retaining crop residues or increasing surface roughness through conservation tillage practices, should be considered to reduce soil erodibility and efficacy of hydrological transport across soil surfaces (Deasy et al, 2010). Previous research in the study catchments (Shore et al, 2014;Mellander et al, 2015;2016;Sherriff et al, 2016, Thomas et al, 2016 and elsewhere (Fryirs et al, 2007;Dupas et al, 2015) has confirmed the influence of hydrological connectivity on the delivery of sediment and nutrients at catchment outlets and the importance of their interactions for in-stream ecology (Davis et al, 2018). Identification and mitigation of hillslope sediment losses must target critical source areas to maximise the success and cost-efficiency of mitigation measures (Shore et al, 2013;Thompson et al, 2013;Thomas et al, 2016).…”

Section: Implications For Catchment Managementmentioning

confidence: 58%

“…In waterbodies, augmented supply of sediments to the channel bed can cause degradation of aquatic habitats resulting in reduced species diversity, as specifically noted in Ireland (Davis et al, 2018) and France (Descloux et al, 2013), and extensively reviewed throughout the world by Kjelland et al (2015). High suspended sediment concentrations in aquatic ecosystems, for example following rainfall events, also reduce habitat quality for example resulting in increased drifting of invertebrates, commonly used as bioindicators (Kjelland et al, 2015;Béjar et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Sediment fingerprinting as a tool to identify temporal and spatial variability of sediment sources and transport pathways in agricultural catchments

Sherriff

Rowan

Fenton

et al. 2018

Agriculture, Ecosystems & Environment

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Section: Implications For Catchment Managementmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Sediment fingerprinting as a tool to identify temporal and spatial variability of sediment sources and transport pathways in agricultural catchments

Sherriff

Rowan

Fenton

et al. 2018

Agriculture, Ecosystems & Environment

Self Cite

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“…According to previous studies, high proportions of urban and agricultural areas in watersheds are linked to high stream organic matter and nutrient concentrations [7][8][9]. Specifically, urban land use alters the hydrological regime in watersheds [10,11] and increases the outflow of both point source and non-point source pollution from roads, commercial facilities, and residential areas [7,12,13]. Nutrients from agricultural land are a dominant non-point pollution source to streams [14] due to the excessive application of fertilizers [15] and pesticides [16] for enhanced agricultural productivity.…”

Section: Introductionmentioning

confidence: 99%

An Estimated Structural Equation Model to Assess the Effects of Land Use on Water Quality and Benthic Macroinvertebrates in Streams of the Nam-Han River System, South Korea

Lee

et al. 2020

IJERPH

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The extent of anthropogenic land use in watersheds determines the amount of pollutants discharged to streams. This indirectly and directly affects stream water quality and biological health. Most studies have therefore focused on ways to reduce non-point pollution sources to streams from the surrounding land use in watersheds. However, the mechanistic pathways between land use and the deterioration of stream water quality and biological assemblages remain unclear. This study estimated a structural equation model (SEM) representing the impact of agricultural and urban land use on water quality and the benthic macroinvertebrate index (BMI) using IBM AMOS in the Nam-Han river systems, South Korea. The estimated SEM showed that the percent of urban and agricultural land in the watersheds significantly affected both the water quality and the BMI of the streams. Specifically, a higher percent of urban land use had directly increased the biochemical oxygen demand (BOD) and total phosphorus (TP), and deteriorated the BMI of streams. Similarly, higher proportions of agricultural land use had also directly increased the BOD, total nitrogen (TN), and total phosphorus (TP) concentrations, and lowered the BMI of streams. In addition, it was observed that the percent of urban and agricultural land use had indirectly deteriorated the BMI through increased BOD. However, we were not able to observe any significant indirect effect of the percent of urban and agricultural land use through increased nutrients including TN and TP. These results indicate that increased urban and agricultural land use in the watersheds had directly and indirectly affected the physicochemical characteristics and benthic macroinvertebrate communities in streams. Our findings emphasize the need to develop more elaborate environmental management and restoration strategies to improve the water quality and biological status of streams.

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“…The baseline parameter set therefore represents the control community, and as in experimental studies (e.g. Matthaei et al, 2010;Davis et al, 2018) we manipulate our model communities by investigating the effect of each stressor acting alone, as well as the stressors acting in combination. From these cases we then compute the type of stressor interaction and how they combine to the alter the community biomasses (see below for definitions of how stressor interactions are computed).…”

Section: Theoretical Modelsmentioning

confidence: 99%

Ecological theory predicts ecosystem stressor interactions in freshwater ecosystems, but highlights the strengths and weaknesses of the additive null model

Burgess

Purves

Mace

et al. 2020

Preprint

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Understanding and predicting how multiple co-occurring environmental stressors combine to affect biodiversity and ecosystem services is an on-going grand challenge for ecology. So far progress has been made through accumulating large numbers of smaller-scale individual studies that are then investigated by meta-analyses to look for general patterns. In particular there has been an interest in checking for so-called ecological surprises where stressors interact in a synergistic manner. Recent reviews suggest that such synergisms do not dominate, but few other generalities have emerged. This lack of general prediction and understanding may be due in part to a dearth of ecological theory that can generate clear hypotheses and predictions to tested against empirical data. Here we close this gap by analysing food web models based upon classical ecological theory and comparing their predictions to a large (546 interactions) dataset for the effects of pairs of stressors on freshwater communities, using trophic- and population-level metrics of abundance, density, and biomass as responses. We find excellent overall agreement between the stochastic version of our models and the experimental data, and both conclude additive stressor interactions are the most frequent, but that meta-analyses report antagonistic summary interaction classes. Additionally, we show that the statistical tests used to classify the interactions are very sensitive to sampling variation. It is therefore likely that current weak sampling and low sample sizes are masking many non-additive stressor interactions, which our theory predicts to dominate when sampling variation is removed. This leads us to suspect ecological surprises may be more common than currently reported. Our results highlight the value of developing theory in tandem with empirical tests, and the need to examine the robustness of statistical machinery, especially the widely-used null models, before we can draw strong conclusions about how environmental drivers combine.

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Multiple-stressor effects of sediment, phosphorus and nitrogen on stream macroinvertebrate communities

Cited by 47 publications

References 56 publications

Sediment fingerprinting as a tool to identify temporal and spatial variability of sediment sources and transport pathways in agricultural catchments

Sediment fingerprinting as a tool to identify temporal and spatial variability of sediment sources and transport pathways in agricultural catchments

An Estimated Structural Equation Model to Assess the Effects of Land Use on Water Quality and Benthic Macroinvertebrates in Streams of the Nam-Han River System, South Korea

Ecological theory predicts ecosystem stressor interactions in freshwater ecosystems, but highlights the strengths and weaknesses of the additive null model

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