
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Comparing biotic drivers of litter breakdown across stream compartments

Comparing biotic drivers of litter breakdown across stream compartments
Abstract Litter breakdown in the streambed is an important pathway in organic carbon cycling and energy transfer in the biosphere that is mediated by a wide range of streambed organisms. However, most research on litter breakdown to date has focused on a small fraction of the taxa that drive it (e.g. microbial vs. macroinvertebrate‐mediated breakdown) and has been limited to the benthic zone (BZ). Despite the importance of the hyporheic zone (HZ) as a bioreactor, little is known about what, or who, mediates litter breakdown in this compartment and whether breakdown rates differ between the BZ and HZ. Here, we explore the relationship between litter breakdown and the variation in community structure of benthic and hyporheic communities by deploying two standardized bioassays (cotton strips and two types of commercially available tea bags) in 30 UK streams that encompass a range of environmental conditions. Then, we modelled these assays as a response of the streambed compartment and the biological features of the streambed assemblage (Prokaryota, Protozoa and Eumetazoa invertebrates) to understand the generality and efficiency of litter processing across communities. Litter breakdown was much faster in the BZ compared with the HZ (around 5 times higher for cotton strips and 1.5 times faster for the tea leaves). However, differences in litter breakdown between the BZ and the HZ were mediated by the biological features of the benthos and the hyporheos. Biomass of all the studied biotic groups, α‐diversity of Eumetazoa invertebrates and metabolic diversity of Prokaryota were important predictors that were positively related to breakdown coefficients demonstrating their importance in the functioning of the streambed ecosystem. Our study uses a novel multimetric bioassay that is able to disentangle the contribution by Prokaryota, Protozoa and Eumetazoa invertebrates to litter breakdown. In doing so, our study reveals new insights into how organic matter decomposition is partitioned across biota and streambed compartments.
- Brunel University London United Kingdom
- University of Roehampton United Kingdom
- Centre for Environment, Fisheries and Aquaculture Science United Kingdom
- Brunel University London United Kingdom
- University of Roehampton United Kingdom
570, benthos, litter breakdown, Invertebrates, streambed ecology, Plant Leaves, multivariable mediation models, nutrients processing, hyporheos, Community Ecology, Rivers, Animals, Biomass, Ecosystem
570, benthos, litter breakdown, Invertebrates, streambed ecology, Plant Leaves, multivariable mediation models, nutrients processing, hyporheos, Community Ecology, Rivers, Animals, Biomass, Ecosystem
7 Research products, page 1 of 1
- 2019IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
- 2018IsAmongTopNSimilarDocuments
- 1993IsAmongTopNSimilarDocuments
- 2015IsAmongTopNSimilarDocuments
- 2003IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).14 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
