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5 results for “leaf dry matter content”
Community leaf dry matter content predicts grassland production
<p>Plant growth correlates with values of collinear (covarying) traits from the leaf economics spectrum. Environmental variation and differences in community composition may alter contributions of these traits to plant production and thereby limit the consistency of trait-based growth predictions among years and plant communities. We tested effects of interannual variation in precipitation and differences in grassland community composition (planted monoculture of switchgrass, Panicum virgatum, and mixture of perennial herbaceous species) on the utility of two traits from the leaf economics spectrum (leaf dry matter content [LDMC] and plant [N]) to predict aboveground net primary production (ANP) during spring of 6 years. Spatial and temporal variation in spring production correlated with community-scale (species-abundance weighted) values of both traits, but community LDMC explained 66% of the variance in production and accounted for ≥89% of the variance in ANP explained by the two traits combined. The ANP response to trait variation and the variance in ANP explained by trait values differed with precipitation and between communities. Greater precipitation increased the production response to trait variation by increasing slopes of ANP-trait regression relationships and increased the variance in ANP explained by trait values. Communities differed in response to precipitation variation and in the role of annual variation in the [N]-LDMC relationship in explaining variance in ANP. Results indicate that mean trends in grassland production can be predicted using community-scale values of LDMC. Trait-based predictions of grassland production could be improved, however, by accommodating precipitation and community effects on production-trait relationships.</p>
Data from: Contrasting water, dry matter and air contents distinguish orthophylls, sclerophylls and succophylls (leaf succulents)
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Community leaf dry matter content predicts grassland production
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Data from: Traits including leaf dry matter content and leaf pH dominate over forest soil pH as drivers of litter decomposition among 60 species
1. Soil pH varies by several units among ecosystems. While soil pH is known to be a key driver of plant species composition, we still have a poor understanding of how it affects carbon cycling processes. For instance, soil pH, or its associated chemistry in terms of base cations and organic acids, may affect decomposition rates of dead matter directly, by controlling decomposer composition and activity, and indirectly, by controlling the traits of the plant species and thereby the afterlife effects of those traits on litter decomposition. Leaf and litter pH may play a role in this control. Based on the very limited empirical data available, we hypothesized that variation in species traits including leaf (litter) pH, within and between ecosystems contrasting in soil pH, would have stronger effects on leaf litter decomposition rates than variation in soil chemistry would. 2. We tested this hypothesis by carrying out a 'common garden' litterbed experiment in subtropical SW China, in which leaf litters of the 30 predominant plant species from mid-successional forest on acidic sandstone (soil pH around 4.0) and calcareous soil (pH around 7.5) respectively, were incubated and their decomposition rates measured over two harvests in fourteen months, both in soil plus litter matrix from their 'home' forest and in those from the "away" forest. 3. We found that leaf (litter) trait variation among species and plant functional types, headed by species' dry matter content but also including tissue pH, was the strongest driver of variation in leaf litter decomposition rates. Surprisingly however, while these effects of interspecific trait variation were very strong among species from the same site, there was no overall difference in litter decomposability between the species from the acidic versus calcareous site. Equally surprising was that this strong difference in pH of soil substrate plus litter matrix from an acidic sandstone site versus a calcareous karst site did not directly affect leaf litter decomposition rates across a given species set. 4. This first attempt to disentangle the multiple potential direct and indirect ways in which soil and leaf (litter) acidity might be related to litter decomposition rates, has important implications for our understanding of soil-plant feedbacks. Based on our forest-based study, we predict that soil-plant feedbacks via acidity are unlikely to be strong in ecosystems with wide-ranging species in terms of their leaf functional traits, including leaf pH.
Data from: Traits including leaf dry matter content and leaf pH dominate over forest soil pH as drivers of litter decomposition among 60 species
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