2018
DOI: 10.1111/1365-2435.13235
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Periphytic algae decouple fungal activity from leaf litter decomposition via negative priming

Abstract: 1. Well-documented in terrestrial settings, priming effects describe stimulated heterotrophic microbial activity and decomposition of recalcitrant carbon by additions of labile carbon. In aquatic settings, algae produce labile exudates which may elicit priming during organic matter decomposition, yet the directions and mechanisms of aquatic priming effects remain poorly tested. 2. We tested algal-induced priming during decomposition of two leaf species of contrasting recalcitrance, Liriodendron tulipifera and … Show more

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Cited by 57 publications
(57 citation statements)
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“…Conversely, at the low elevation site, AP‐tase activity increased by 36% and 22% after addition of the high‐ and low‐quality litters, respectively, and the C enz /AP of the high‐quality litter treatment was higher than the low‐quality litter treatment, suggesting that microbes under the high‐quality litter treatment invested more C towards the acquisition of P from SOM. Taken together, these results for the low elevation site indicate that high‐quality litter caused micro‐organisms to decompose more native SOM to meet microbial P demands compared with low‐quality litter (Halvorson et al, ; Rousk, Hill, & Jones, ).…”
Section: Discussionmentioning
confidence: 78%
“…Conversely, at the low elevation site, AP‐tase activity increased by 36% and 22% after addition of the high‐ and low‐quality litters, respectively, and the C enz /AP of the high‐quality litter treatment was higher than the low‐quality litter treatment, suggesting that microbes under the high‐quality litter treatment invested more C towards the acquisition of P from SOM. Taken together, these results for the low elevation site indicate that high‐quality litter caused micro‐organisms to decompose more native SOM to meet microbial P demands compared with low‐quality litter (Halvorson et al, ; Rousk, Hill, & Jones, ).…”
Section: Discussionmentioning
confidence: 78%
“…Rapid photosynthetic stimulation of heterotrophic microbial activity is another interaction which can occur in periphyton. Algal photosynthesis can result in near-instantaneous stimulation of bacterial (Neely & Wetzel, 1995;Scott, Back, Taylor, & King, 2008;Kuehn, Francoeur, Findlay, & Neely, 2014) and fungal (Kuehn et al, 2014;Halvorson et al, 2019a) production and growth rates in periphyton. Photosynthesis may also cause similar rapid increases in the activity of carbon (C)-acquiring (e.g., ß-glucosidase, ß-xylosidase), nitrogen (N)-acquiring (e.g., leucineaminopeptidase), and phosphorus (P)-acquiring (phosphatase) extracellular enzymes produced…”
Section: Introductionmentioning
confidence: 99%
“…Under positive priming, algae increase N and P mass loss, likely through increased heterotrophic investment in degradative enzymes and mineralization of litter N and P (Rier et al, 2007;Kuzyakov, 2010). Under negative priming, algae reduce N and P mineralization from litter, probably by suppressing heterotrophic investment in enzymes and simultaneously by immobilizing N and P (Blagodatskaya and Kuzyakov, 2008;Halvorson et al, 2019). In this way, algal priming intensity may also strongly affect the fate of endogenous litter N and P, not just litter C. The opposing algal effects on C:N and C:P versus k N and k P indicate algal effects on litter-periphyton C loss are relatively stronger than effects on N and P loss.…”
Section: Discussionmentioning
confidence: 99%
“…For a description of methods used to collect unpublished data, see Supplementary Material Appendix 1. Some of the studies in our meta-analysis included experiments using different nutrient levels (Danger et al, 2013;Halvorson et al, 2016) or contrasting leaf species (Halvorson et al, 2019) and we considered each dataset from these contrasting conditions as a separate contribution to calculate an algal effect size. Although there is a common first-author among many of these datasets (present first-author), indicating possible non-independence of the data, each of these datasets was collected by a different group of scientists in a different experimental setting.…”
Section: Literature Survey For Meta-analysismentioning
confidence: 99%
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