251 research outputs found

    Before and beyond: Stabilizing Group Treatment for Complex Posttraumatic Stress Disorder related to Child abuse Based on Psycho-education and Cognitive Behavioral Therapy

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    Balkom, A.J.L.M. van [Promotor]Veltman, D.J. [Promotor]Draijer, N. [Copromotor

    Plant growth-form and climate controls on production and decomposition in northern peatlands

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    Aerts, M.A.P.A. [Promotor]Cornelissen, J.H.C. [Copromotor

    Determinants of bone mineral density in healthy term-born children at age 6 months and 3 years

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    Background &amp; aims: The first 6 months of life are a critical window for adiposity programming, which could potentially also be true for bone mineral density (BMD) development. It is, however, currently unknown which determinants associate with BMD during early childhood. Our objective was to assess which determinants associate with BMD at 6 months and 3 years of age, with focus on growth during the first 6 months of life and macronutrient intake. Methods: In 428 healthy term-born infants, aged 6 months and 3 years, we measured anthropometrics, BMD total body less head (BMDTBLH) and body composition by Dual-energy X-ray absorptiometry (DXA), and collected feeding characteristics by questionnaires. At age 3 months, macronutrient intake was measured in formula-fed and exclusively breastfed infants using a Human Milk Analyzer. At age 3 years, feeding diaries were analyzed regarding macronutrients and vitamin D intake. Associations of BMDTBLH standard deviation score (SDS) with child characteristics, growth and macronutrient intake were investigated with regression analyses. Results: Reference values for BMDTBLH at age 6 months were constructed. Weight SDS, lean body mass (LBM) and fat mass (FM) associated positively with BMDTBLH SDS at age 6 months. The same variables associated positively with BMDTBLH SDS at age 3 years, with also length SDS. Protein intake at age 3 months associated positively with BMDTBLH SDS at age 6 months, and fat intake at 3 years inversely with BMDTBLH SDS at 3 years. Conclusion: Lean body mass is the most important determinant of BMDTBLH SDS at age 6 months and 3 years. Higher protein intake at age 3 months and lower fat intake at age 3 years associate with higher BMDTBLH SDS.</p

    Neighbour identity hardly affects litter-mixture effects on decomposition rates of New Zealand forest species.

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    The mass loss of litter mixtures is often different than expected based on the mass loss of the component species. We investigated if the identity of neighbour species affects these litter-mixing effects. To achieve this, we compared decomposition rates in monoculture and in all possible two-species combinations of eight tree species, widely differing in litter chemistry, set out in two contrasting New Zealand forest types. Litter from the mixed-species litter bags was separated into its component species, which allowed us to quantify the importance of litter-mixing effects and neighbour identity, relative to the effects of species identity, litter chemistry and litter incubation environment. Controlling factors on litter decomposition rate decreased in importance in the order: species identity (litter quality) >> forest type >> neighbour species. Species identity had the strongest influence on decomposition rate. Interspecific differences in initial litter lignin concentration explained a large proportion of the interspecific differences in litter decomposition rate. Litter mass loss was higher and litter-mixture effects were stronger on the younger, more fertile alluvial soils than on the older, less-fertile marine terrace soils. Litter-mixture effects only shifted percentage mass loss within the range of 1.5%. There was no evidence that certain litter mixtures consistently showed interactive effects. Contrary to common theory, adding a relatively fast-decomposing species generally slowed down the decomposition of the slower decomposing species in the mixture. This study shows that: (1) species identity, litter chemistry and forest type are quantitatively the most important drivers of litter decomposition in a New Zealand rain forest; (2) litter-mixture effects—although statistically significant—are far less important and hardly depend on the identity and the chemical characteristics of the neighbour species; (3) additive effects predominate in this ecosystem, so that mass dynamics of the mixtures can be predicted from the monocultures

    Litter mixture interactions at the level of plant functional types are additive.

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    It is very difficult to estimate litter decomposition rates in natural ecosystems because litters of many species are mixed and idiosyncratic interactions occur among those litters. A way to tackle this problem is to investigate litter mixing effects not at the species level but at the level of Plant Functional Types (PFTs). We tested the hypothesis that at the PFT level positive and negative interactions balance each other, causing an overall additive effect (no significant interactions among PFTs). Thereto, we used litter of four PFTs from a temperate peatland in which random draws were taken from the litter species pool of each PFT for every combination of 2, 3, and 4 PFTs. Decomposition rates clearly differed among the 4 PFTs (Sphagnum spp. < graminoids = N-fixing tree < forbs) and showed little variation within the PFTs (notably for the Sphagnum mosses and the graminoids). Significant positive interactions (4 out of 11) in the PFT mixtures were only found after 20 weeks and in all these combinations Sphagnum was involved. After 36 and 56 weeks of incubation interactions were not significantly different from zero. However, standard deviations were larger than the means, indicating that positive and negative interactions balanced each other. Thus, when litter mixture interactions are considered at the PFT level the interactions are additive. From this we conclude that for estimating litter decomposition rates at the ecosystem level, it is sufficient to use the weighted (by litter production) average decomposition rates of the contributing PFTs. © 2009 The Author(s)

    Litter quality and its response to water level drawdown in boreal peatlands at plant species and community level

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    Changes in the structure of plant communities may have much more impact on ecosystem carbon (C) cycling than any phenotypic responses to environmental changes. We studied these impacts via the response of plant litter quality, at the level of species and community, to persistent water-level (WL) drawdown in peatlands. We studied three sites with different nutrient regimes, and water-level manipulations at two time scales. The parameters used to characterize litter quality included extractable substances, cellulose, holocellulose, composition of hemicellulose (neutral sugars, uronic acids), Klason lignin, CuO oxidation phenolic products, and concentrations of C and several nutrients. The litters formed four chemically distinct groups: non-graminoid foliar litters, graminoids, mosses and woody litters. Direct effects of WL drawdown on litter quality at the species level were overruled by indirect effects via changes in litter type composition. The pristine conditions were characterized by Sphagnum moss and graminoid litters. Short-term (years) responses of the litter inputs to WL drawdown were small. In longterm (decades), total litter inputs increased, due to increased tree litter inputs. Simultaneously, the litter type composition and its chemical quality at the community level greatly changed. The changes that we documented will strongly affect soil properties and C cycle of peatlands.Peer reviewe

    Plant-microbial linkages underpin carbon sequestration in contrasting mountain tundra vegetation types

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    Tundra ecosystems hold large stocks of soil organic matter (SOM), likely due to low temperatures limiting rates of microbial SOM decomposition more than those of SOM accumulation from plant primary productivity and microbial necromass inputs. Here we test the hypotheses that distinct tundra vegetation types and their carbon supply to characteristic rhizosphere microbes determine SOM cycling independent of temperature. In the subarctic Scandes, we used a three-way factorial design with paired heath and meadow vegetation at each of two elevations, and with each combination of vegetation type and elevation subjected during one growing season to either ambient light (i.e., ambient plant productivity), or 95% shading (i.e., reduced plant productivity). We assessed potential above-and belowground ecosystem linkages by uni-and multivariate analyses of variance, and structural equation modelling. We observed direct coupling between tundra vegetation type and microbial community composition and function, which underpinned the ecosystem's potential for SOM storage. Greater primary productivity at low elevation and ambient light supported higher microbial biomass and nitrogen immobilisation, with lower microbial mass-specific enzymatic activity and SOM humification. Congruently, larger SOM at lower elevation and in heath sustained fungal-dominated microbial communities, which were less substrate-limited, and invested less into enzymatic SOM mineralisation, owing to a greater carbon-use efficiency (CUE). Our results highlight the importance of tundra plant community characteristics (i.e., productivity and vegetation type), via their effects on soil microbial community size, structure and physiology, as essential drivers of SOM turnover. The here documented concerted patterns in above-and belowground ecosystem functioning is strongly supportive of using plant community characteristics as surrogates for assessing tundra carbon storage potential and its evolution under climate and vegetation changes
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