Leaf decomposition depends on nutritional trait values but increasing trait variability does not always increase decomposition efficiency |
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Authors: | Daniel Plazas-Jiménez Marcus V. Cianciaruso |
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Affiliation: | 1. Programa de Pós-Graduação em Ecologia e Evolução, Univ. Federal de Goiás, Goiânia, Goiás, Brasil;2. Depto de Ecologia, Univ. Federal de Goiás, Goiânia, Goiás, Brasil |
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Abstract: | The mass ratio (MRH) and niche complementarity (NCH) hypotheses can explain how leaf trait composition drives decomposition, an ecosystem process linked to nutrient cycling and carbon sequestration. However, few studies have used an experiment designed to disentangle the role of the mechanisms proposed by these hypotheses. This is especially true regarding the role of leaf functional traits for decomposition rates in tropical ecosystems. Here, we quantified the biomass loss of 120 leaf mixtures assembled according to four quasi-orthogonal combinations of different mean trait values (community-weighted mean; CWM) and trait variability (functional diversity; FD) of three leaf functional traits (leaf nitrogen and leaf magnesium concentrations and specific leaf area). We found that CWM values of leaf nutritional traits were positively related to greater biomass loss. This supports the hypothesis that the mean trait values of leaf mixtures can drive biomass loss (MRH). However, contrary to NCH expectations, in some circumstances, increasing trait variability of leaf nutritional traits decreased biomass loss. Our results reinforce some previous evidence that, together, CWM and FD can explain leaf decomposition and highlight that the mean resource quality of leaf mixtures is a driver of biomass loss. Also, as previously reported for temperate ecosystems, trait variability does not always increase leaf decomposition in tropical ecosystems. Therefore, there is a need to consider simultaneously both MRH and NCH in future studies, using an appropriate design, keeping in mind that both mechanisms will always be present in any species mixture or combination. |
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Keywords: | biodiversity effects on ecosystem processes community trait composition ecosystem functioning functional diversity leaf functional traits leaf mixtures trait complementarity |
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