Literature DB >> 20349834

Estimating the effects of excess nutrients on stream invertebrates from observational data.

Lester L Yuan1.   

Abstract

Increased nutrient concentrations in streams and rivers have altered biological structure and function. Manipulative studies have provided insights into different mechanisms by which changes in nutrient concentrations influence aquatic biota, but these studies are limited in spatial scope and in their quantification of nutrient effects on aggregate measures of the invertebrate assemblage. Observational data provide a complementary source of information to manipulative studies, but these data must be analyzed such that the potential effects of spurious correlations are minimized. Propensity scores, a technique developed to analyze human health observational data, are applied here to estimate the effects of increased nutrients on the total taxon richness of stream invertebrates in a large observational data set collected from the western United States. The analysis indicates that increases in nutrient concentration are strongly associated with and cause decreases in invertebrate richness in large, but wadeable, open-canopied streams. These decreases in invertebrate richness were not mediated by periphyton biomass, a commonly proposed mechanism by which nutrients influence invertebrates. In smaller, closed-canopied streams, increases in nutrients were associated with small increases in total richness that were not statistically significant. Using propensity scores can greatly improve the accuracy of insights drawn from observational data by minimizing the potential that factors other than the factor of interest may confound the results.

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Year:  2010        PMID: 20349834     DOI: 10.1890/08-1750.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  8 in total

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Authors:  John S Schwartz; Andrew Simon; Lauren Klimetz
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2.  Chironomidae traits and life history strategies as indicators of anthropogenic disturbance.

Authors:  Sónia R Q Serra; Manuel A S Graça; Sylvain Dolédec; Maria João Feio
Journal:  Environ Monit Assess       Date:  2017-06-09       Impact factor: 2.513

3.  Downstream Effects of Upstream Causes.

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Journal:  J Am Stat Assoc       Date:  2019-04-23       Impact factor: 5.033

4.  Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data.

Authors:  Lester L Yuan; Nathan J Smucker; Christopher T Nietch; Erik M Pilgrim
Journal:  Freshw Sci       Date:  2022-03       Impact factor: 2.353

5.  Macroinvertebrate and fish communities in the watershed of a re-constructed Mediterranean water body: link to the ecological potential.

Authors:  D C Bobori; Ch Ntislidou; O Petriki; I Chronis; I Kagalou; M Lazaridou
Journal:  Environ Monit Assess       Date:  2018-02-01       Impact factor: 2.513

6.  Resolving large-scale pressures on species and ecosystems: propensity modelling identifies agricultural effects on streams.

Authors:  Caitlin E Pearson; Steve J Ormerod; William O C Symondson; Ian P Vaughan
Journal:  J Appl Ecol       Date:  2016-01-18       Impact factor: 6.528

7.  The effects of nutrients on stream invertebrates: a regional estimation by generalized propensity score.

Authors:  Zutao Ouyang; Song S Qian; Richard Becker; Jiquan Chen
Journal:  Ecol Process       Date:  2018-06-04

8.  Transport of N and P in U.S. streams and rivers differs with land use and between dissolved and particulate forms.

Authors:  David W P Manning; Amy D Rosemond; Jonathan P Benstead; Phillip M Bumpers; John S Kominoski
Journal:  Ecol Appl       Date:  2020-05-05       Impact factor: 4.657

  8 in total

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