Bark serves crucial roles in safeguarding trees physically and chemically, while also contributing to nutrient cycling and carbon sequestration. Despite its importance, the broader biogeographical patterns and the potential factors influencing bark C : N : P stoichiometry in forest ecosystems remain largely unknown. In this study, we compiled a comprehensive dataset comprising carbon (C), nitrogen (N), and phosphorus (P) concentrations in bark with 1240 records from 550 diverse forest sites to systematically analyze the large-scale patterns and the factors controlling bark C : N : P stoichiometry. The geometric means of bark C, N, and P concentrations were found to be 493.17 ± 1.75, 3.91 ± 0.09, and 0.2 ± 0.01 mg g 

Global patterns and controlling factors of tree bark C : N : P stoichiometry in forest ecosystems consistent with biogeochemical niche hypothesis

Nitrogen addition and plant functional type mediate the mesofauna-driven litter element release of subtropical forest

Soil organic carbon turnover is controlled by soil pore space O2 concentration in brown forest soil

Aboveground plants influence heterogeneously soil organic carbon (SOC) and its labile fractions after mixed afforestation: Three afforestation types of Masson's pine in the Upper Yangtze River, China

Introduction Soil carbon and nitrogen components play a crucial role in maintaining ecosystem functions and regulating global climate change in forest ecosystems. Thinning is an important forest management measure that significantly affects forest structure and biodiversity. However, the specific impacts of varying thinning intensities on soil carbon-nitrogen dynamics and microbial community structure remain unclear, warranting further investigation. Methods In this study, we applied a gradient of thinning intensities (10–35%) in a degraded mixed forest, combining field sampling, soil physicochemical measurements, and high-throughput sequencing to assess changes in soil carbon-nitrogen components and microbial communities. We used Mantel tests to quantify correlations between soil environmental factors and microbial community composition, variance partitioning analysis (VPA) to determine the relative contributions of carbon and nitrogen variables, and Boruta-based random forest modeling to identify the most important predictors of microbial variation. Mixed-effects models (controlling for elevation, slope, SI 70 ) were used to test thinning effects on nitrogen fractions and C/N. Results Baseline (pre-treatment) soils exhibited high bacterial α-diversity but lower and more variable fungal diversity, with intermediate SOC and TN levels across plots. In contrast, fungal communities showed a simpler response, primarily influenced by the C/N ratio, dissolved organic carbon (DOC), and total nitrogen (TN). Mixed-effects models (controlling for elevation, slope, SI 70 ) showed independent thinning effects on DON, MBN, NH 4 + -N, TN and C/N, but not on AN or NO 3 − -N. VPA showed that, for bacteria, carbon explained 26.86%, nitrogen 35.50%, and their interaction 29.04%; for fungi, 19.92, 38.68, and 34.87%, respectively—indicating nitrogen’s dominant role. The C/N ratio, TN, and NO 3 − -N had the highest explanatory power for thinning intensity, suggesting that nitrogen dynamics play a more significant role. Discussion The findings of this study improve the understanding of how forest management practices influence soil carbon-nitrogen, providing scientific evidence for the precise regulation of forest ecosystem functions and services, with significant implications for ecological management and climate regulation. 

pdf/moderate-thinning-enhances-soil-carbon-nitrogen-cycling-and-fhbi38a53ktx.pdf

Moderate thinning enhances soil carbon-nitrogen cycling and microbial diversity in degraded mixed forests

Despite the vital role in carbon (C) sequestration and nutrient retention, variations and patterns in root C and nitrogen (N) stoichiometry of the first five root orders across woody plant species remains unclear. We compiled a dataset to explore variations and patterns of root C and N stoichiometry in the first five orders of 218 woody plant species. Across the five orders, root N concentrations were greater in deciduous, broadleaf, and arbuscular mycorrhizal species than in evergreen, coniferous species, and ectomycorrhizal associations species, respectively. Contrasting trends were found for root C:N ratios. Most root branch orders showed clear latitudinal and altitudinal trends in root C and N stoichiometry. There were opposite patterns in N concentrations between latitude and altitude. Such variations were mainly driven by plant species, and climatic factors together. Our results indicate divergent C and N use strategies among plant types and convergence and divergence in the patterns of C and N stoichiometry between latitude and altitude across the first five root orders. These findings provide important data on the root economics spectrum and biogeochemical models to improve understanding and prediction of climate change effects on C and nutrient dynamics in terrestrial ecosystems.

Variations and patterns of C and N stoichiometry in the first five root branch orders across 218 woody plant species.

Seasonal dynamics of ammonia-oxidizing archaea and bacteria in subalpine forests of western Sichuan

Nitrogen-induced soil acidification mitigates the negative effects of nitrogen addition on SOC stability

Exploring the role of the rhizosphere in soil carbon cycling: impacts on pools and components of SOC along a chronosequence of Cryptomeria japonica plantations in subtropical China

Patterns and drivers of plant- and microbial-derived carbon in a cedar plantation chronosequence of subtropical China

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