The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Climate warming and agricultural stressors interact to determine stream macroinvertebrate community dynamics
Abstract
Global climate change is likely to modify the ecological consequences of currently acting stressors, but potentially important interactions between climate warming and land‐use related stressors remain largely unknown. Agriculture affects streams and rivers worldwide, including via nutrient enrichment and increased fine sediment input. We manipulated nutrients (simulating agricultural run‐off) and deposited fine sediment (simulating agricultural erosion) (two levels each) and water temperature (eight levels, 0–6°C above ambient) simultaneously in 128 streamside mesocosms to determine the individual and combined effects of the three stressors on macroinvertebrate community dynamics (community composition and body size structure of benthic, drift and insect emergence assemblages). All three stressors had pervasive individual effects, but in combination often produced additive or antagonistic outcomes. Changes in benthic community composition showed a complex interplay among habitat quality (with or without sediment), resource availability (with or without nutrient enrichment) and the behavioural/physiological tendency to drift or emerge as temperature rose. The presence of sediment and raised temperature both resulted in a community of smaller organisms. Deposited fine sediment strongly increased the propensity to drift. Stressor effects were most prominent in the benthic assemblage, frequently reflected by opposite patterns in individuals quitting the benthos (in terms of their propensity to drift or emerge). Of particular importance is that community measures of stream health routinely used around the world (taxon richness, EPT richness and diversity) all showed complex three‐way interactions, with either a consistently stronger temperature response or a reversal of its direction when one or both agricultural stressors were also in operation. The negative effects of added fine sediment, which were often stronger at raised temperatures, suggest that streams already impacted by high sediment loads may be further degraded under a warming climate. However, the degree to which this will occur may also depend on in‐stream nutrient conditions.
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Citations
Cites
Experimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674 · cited 3×
“To avoid potential collinearity problems arising from inclusion in the same model of this quadratic term and interaction terms of the two categorical factors with the continuous predictor temperature, temperature was centred (Quinn & Keough, 2002).”
BackgroundMethodInfluentialAllan, J. D., & Castillo, M. M. (2007) · doi:10.1007/978-1-4020-5583-6 · Cited by 940
Quantifying the evidence for ecological synergies
Darling, E. S., & Côté, I. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2008.01243.x · Cited by 723
Cited by
Reconceptualizing synergism and antagonism among multiple stressors
Piggott, J. J., Townsend, C. R., & Matthaei, C. D. (2015) · Ecology and Evolution · doi:10.1002/ece3.1465 · Cited by 678
Self-citationRocca, J. D., Simonin, M., Blaszczak, J. R., Ernakovich, J. G., Gibbons, S. M., Midani, F. S., & Washburne, A. D. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.03272 · Cited by 213
Shanmugam, S., Hari, A., Kumar, D., Rajendran, K., Mathimani, T., Atabani, A. E., Brindhadevi, K., & Pugazhendhi, A. (2021) · Fuel · doi:10.1016/j.fuel.2020.119052 · Cited by 75
Hallberg, L., Hallin, S., & Bieroza, M. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156513 · Cited by 23
Metadata
- Authors
- Piggott, J. J., Townsend, C. R., & Matthaei, C. D.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2015-03-06
- Volume
- 21
- Issue
- 5
- Pages
- 1887-1906
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2169266284
- Cited by
- 213
- References
- 3
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Piggott, J. J., Townsend, C. R., & Matthaei, C. D. (2015). Climate warming and agricultural stressors interact to determine stream macroinvertebrate community dynamics. Global Change Biology. https://doi.org/10.1111/gcb.12861
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