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Data on leaf structural, physiological and nutritional characteristics of species co-occurring in restinga and semidecidual seasonal forest ecosystems.

ABSTRACT: This paper presents additional data on the leaf structural, physiological and nutritional characteristics of three species (Maytenus obtusifolia, Manilkara subsericea e Inga laurina), co-occurring in restinga and semideciduous seasonal forest (forest). The data of the leaf structural, physiological and nutritional characteristics were obtained from the three species to identify possible adaptive strategies that could explain the co-occurrence of these species in the restinga and forest. In addition, this data can help identify key functional traits in the plant community of restinga and forests that can be employed in the reestablishment of ecological and edaphic processes in these ecosystems. This work presents data complementary to the published article "Acclimatization capacity of leaf traits of species co-occurring in restinga and seasonal semideciduous forest ecosystems" [1].

SUBMITTER: Pireda S

PROVIDER: S-EPMC7191181 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Data on leaf structural, physiological and nutritional characteristics of species co-occurring in restinga and semidecidual seasonal forest ecosystems.

Pireda Saulo S Oliveira Dhiego da Silva DDS Borges Neilor Lacorte NL Ferreira Gabriel do Amaral GDA Barroso Laura Mathias LM Simioni Priscila P Vitória Ângela Pierre ÂP Da Cunha Maura M

Data in brief 20200408

This paper presents additional data on the leaf structural, physiological and nutritional characteristics of three species (<i>Maytenus obtusifolia, Manilkara subsericea</i> e <i>Inga laurina</i>), co-occurring in restinga and semideciduous seasonal forest (forest). The data of the leaf structural, physiological and nutritional characteristics were obtained from the three species to identify possible adaptive strategies that could explain the co-occurrence of these species in the restinga and fo ...[more]

PMID: 32373679

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Project description:Stoichiometry of leaf macronutrients can provide insight into the tradeoffs between leaf structural and metabolic investments. Structural carbon (C) in cell walls is contained in lignin and polysaccharides (cellulose, hemicellulose, and pectins). Much of leaf calcium (Ca) and a fraction of magnesium (Mg) were further bounded with cell wall pectins. The macronutrients phosphorus (P), potassium (K), and nitrogen (N) are primarily involved in cell metabolic functions. There is limited information on the functional interrelations among leaf C and macronutrients, and the functional dimensions characterizing the leaf structural and metabolic tradeoffs are not widely appreciated. We investigated the relationships between leaf C and macronutrient (N, P, K, Ca, Mg) concentrations in two widespread broad-leaved deciduous woody species Quercus wutaishanica (90 individuals) and Betula platyphylla (47 individuals), and further tested the generality of the observed relationships in 222 woody eudicots from 15 forest ecosystems. In a subsample of 20 broad-leaved species, we also analyzed the relationships among C, Ca, lignin, and pectin concentrations in leaf cell walls. We found a significant leaf C-Ca tradeoff operating within and across species and across ecosystems. This basic relationship was explained by variations in the share of cell wall lignin and pectin investments at the cell scale. The C-Ca tradeoffs were mainly driven by soil pH and mean annual temperature and precipitation, suggesting that leaves were more economically built with less C and more Ca as soil pH increased and at lower temperature and lower precipitation. However, we did not detect consistent patterns among C-N, and C-Mg at different levels of biological organization, suggesting substantial plasticity in N and Mg distribution among cell organelles and cell protoplast and cell wall. We observed two major axes of macronutrient differentiation: the cell-wall structural axis consisting of protein-free C and Ca and the protoplasm metabolic axis consisting of P and K, underscoring the decoupling of structural and metabolic elements inherently linked with cell wall from protoplasm investment strategies. We conclude that the tradeoffs between leaf C and Ca highlight how carbon is allocated to leaf structural function and suggest that this might indicate biogeochemical niche differentiation of species.

Project description:Plants commonly respond to UV radiation through the accumulation of flavonoids and related phenolic compounds which potentially ameliorate UV-damage to crucial internal structures. However, the seasonal dynamics of leaf flavonoids corresponding to epidermal UV absorbance is highly variable in nature, and it remains uncertain how environmental factors combine to govern flavonoid accumulation and degradation. We studied leaf UV-A absorbance of species composing the understorey plant community throughout two growing seasons under five adjacent tree canopies in southern Finland. We compared the relationship between leaf flavonol index (Iflav-repeatedly measured with an optical leaf clip Dualex) and measured spectral irradiance, understorey and canopy phenology, air temperature and snowpack variables, whole leaf flavonoid extracts, and leaf age. Strong seasonal patterns and stand-related differences were apparent in Iflav of both understorey plant communities and individual species, including divergent trends in Iflav during spring and autumn. Comparing the heterogeneity of the understorey light environment and its spectral composition in looking for potential drivers of seasonal changes in Iflav, we found that unweighted UV-A irradiance, or the effective UV dose calculated according to the biological spectral weighting function (BSWF) for plant growth (PG action spectrum), in understorey shade had a strong relationship with Iflav. Furthermore, understorey species seemed to adjust Iflav to low background diffuse irradiance rather than infrequent high direct-beam irradiance in sunflecks during summer, since leaves produced during or after canopy closure had low Iflav. In conclusion, we found the level of epidermal flavonoids in forest understorey species to be plastic, adjusting to climatic conditions, and differing according to species' leaf retention strategy and new leaf production, all of which contribute to the seasonal trends in leaf flavonoids found within forest stands.

Project description:ObjectivesTo estimate the prevalence of epilepsy in children with Autism Spectrum Disorder (ASD) and to determine the demographic and clinical characteristics of children with ASD and epilepsy in a large patient population.MethodsCross-sectional study using four samples of children with ASD for a total of 5,815 participants with ASD. The prevalence of epilepsy was estimated from a population-based sample. Children with and without epilepsy were compared on demographic and clinical characteristics. Multivariate logistic regression was used to examine the association between demographic and clinical characteristics and epilepsy.ResultsThe average prevalence of epilepsy in children with ASD 2-17 years was 12.5%; among children aged 13 years and older, 26% had epilepsy. Epilepsy was associated with older age, lower cognitive ability, poorer adaptive and language functioning, a history of developmental regression and more severe ASD symptoms. The association between epilepsy and the majority of these characteristics appears to be driven by the lower IQ of participants with epilepsy. In a multivariate regression model, only age and cognitive ability were independently associated with epilepsy. Children age 10 or older had 2.35 times the odds of being diagnosed with epilepsy (p<.001) and for a one standard deviation increase in IQ, the odds of having epilepsy decreased by 47% (p<.001).ConclusionThis is among the largest studies to date of patients with ASD and co-occurring epilepsy. Based on a representative sample of children with ASD, the average prevalence of epilepsy is approximately 12% and reaches 26% by adolescence. Independent associations were found between epilepsy and older age and lower cognitive ability. Other risk factors, such as poor language and developmental regression, are not associated with epilepsy after controlling for IQ. These findings can help guide prognosis and alert clinicians to patients with ASD who are at increased risk for epilepsy.

Dataset Information

Data on leaf structural, physiological and nutritional characteristics of species co-occurring in restinga and semidecidual seasonal forest ecosystems.

Publications

Data on leaf structural, physiological and nutritional characteristics of species co-occurring in restinga and semidecidual seasonal forest ecosystems.

Similar Datasets

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