2016
DOI: 10.1002/ecy.1482
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Eutrophication triggers contrasting multilevel feedbacks on litter accumulation and decomposition in fens

Abstract: Eutrophication is a major threat for the persistence of nutrient-poor fens, as multilevel feedbacks on decomposition rates could trigger carbon loss and increase nutrient cycling. Here, we experimentally investigate the effects of macronutrient (NPK) enrichment on litter quality of six species of sedge (Carex sp.), which we relate to litter decomposition rates in a nutrient-poor and nutrient-rich environment. Our research focused on four levels: we examined how eutrophication alters (1) fresh litter production… Show more

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Cited by 14 publications
(18 citation statements)
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“…Variables related to the presence of macroinvertebrates were present in most of our models, and are thus also recognized as a driving factor (partly) explaining decomposition rates. These observations corroborate with earlier findings on, for example, the effects of nutrients (Rejmánková and Houdková 2006;Sarneel et al 2010;Emsens et al 2016a) and invertebrates (König et al 2014;Raposeiro et al 2014) on decomposition rates in established wetland systems. However, sediment and water variables could only explain a small part of variation in the fraction of detritivores.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Variables related to the presence of macroinvertebrates were present in most of our models, and are thus also recognized as a driving factor (partly) explaining decomposition rates. These observations corroborate with earlier findings on, for example, the effects of nutrients (Rejmánková and Houdková 2006;Sarneel et al 2010;Emsens et al 2016a) and invertebrates (König et al 2014;Raposeiro et al 2014) on decomposition rates in established wetland systems. However, sediment and water variables could only explain a small part of variation in the fraction of detritivores.…”
Section: Discussionsupporting
confidence: 92%
“…A high availability of nutrients from surface water or eutrophic sediments potentially leads to high biomass production and higher availability of nutrients in the litter (Tanner 1996;Hoagland et al 2001; Lee and Bukaveckas 2002;Fennessy et al 2008;Trinder et al 2009;Emsens et al 2016a, b). However, decomposition rates will also be high (Rejmánková and Houdková 2006;Sarneel et al 2010;Emsens et al 2016a), since high plant tissue nutrient levels will increase decomposition (Serna et al 2013) of the most easily degradable water-soluble compounds and nonlignified carbohydrates (Berg and Laskowski 2005). In contrast, high concentrations of N can also decrease decomposition rates of lignified carbohydrates and lignin, which are decomposed in later stages, due to their inhibiting effect on lignin degrading enzymes (Berg and Laskowski 2005).…”
Section: Introductionmentioning
confidence: 99%
“…This may counteract positive effects of fertilization on plant growth rates and carbon sequestration. Furthermore, eutrophic conditions can enhance plant litter quality (Emsens et al, 2016) and plants with lower carbon:nutrient ratios decompose faster than those with higher ratios (Wang et al, 2017), indicating an accelerated release of sequestered carbon and nutrients. We therefore hypothesize that eutrophication can affect carbon stocks in submerged aquatic vegetation, through changes in their nutritional quality (e.g., reduced carbon:nutrient stoichiometry) and subsequent effects on grazing and decomposition.…”
Section: Discussionmentioning
confidence: 99%
“…On the one side, increased nutrient availability in a system apparently either inhibits or does not impact litter decomposition (Agethen & Knorr, 2018;Bridgham & Richardson, 2003;Emsens, Aggenbach, Grootjans, et al, 2016). On the other side, increased nutrient availability during plant growth can increase decomposability of the resulting litter (Aerts & de Caluwe, 1997;Emsens, Aggenbach, Grootjans, et al, 2016). At the same time, Carex tissue decomposition is highly dependent on tissue type, with roots decomposing slowest (Graf & Rochefort, 2009;Scheffer & Aerts, 2000;Thormann et al, 2001).…”
Section: Introductionmentioning
confidence: 99%