Search Results (83)

Woody debris decomposition is a key process in forest ecosystem material cycles, with invertebrate communities playing a vital role. Distinct physicochemical properties of woody debris types lead to varying effects on these communities. Taking woody debris in Saihanba’s Larix principis-rupprechtii plantations, Betula platyphylla natural secondary forests, and larch–birch mixed forests (northern China) as objects, we collected woody debris-inhabiting invertebrates via hand-sorting. We studied how tree species (larch/birch), forest types (pure/mixed), and decay stages (I–V) collectively regulate invertebrate community assembly. Results showed significant differences in woody debris physicochemical properties across these factors. Phytophagous groups dominated early decay stages (I–III) and decreased significantly (p < 0.05) with reduced wood density. In contrast, saprophagous and predatory groups increased with decay, correlated with higher TN and were more abundant in mixed than pure forests. NMDS indicated significant community differences among tree species/forest types in early decay, converging later. PLS-PM further confirmed functional groups’ response pathways to woody debris characteristics. Thus, preserving woody debris integrity and diversity in plantations is crucial for maintaining invertebrate diversity, promoting nutrient cycling, and enhancing forest ecosystem functions. Full article

Sustainable forest management requires a comprehensive understanding of how stand density regulates soil ecological processes. We examined a Larix principis-rupprechtii plantation under three thinning retention densities (High—HD; Medium—MD; Low—LD) and an unthinned control (CK), with soil samples collected from four depth layers (0–10, 10–20, 20–30, and 30–40 cm). This study investigated the effects of stand density on soil properties and microbial communities in a Larix principis-rupprechtii plantation by combining high-throughput sequencing with soil physicochemical analysis to identify the optimal density regime for maintaining soil health. Results demonstrated the following: (1) Moderate-density (MD) management best balanced the stability of soil ecosystem structure, showing superior water retention, organic carbon content, and microbial diversity in the 0–30 cm soil layer. The mechanism underlying these improvements can be attributed to the moderately open canopy structure in MD stands, which facilitated efficient litter decomposition and drove functional complementarity between Basidiomycota (enhancing cellulose degradation capacity) and Acidobacteriota (adapted to oligotrophic conditions). (2) Redundancy analysis revealed that soil pH and available nutrients (AK, AP) were key environmental factors driving microbial community restructuring: Actinobacteriota dominated in neutral, phosphorus-rich environments, while Acidobacteriota thrived under acidic, phosphorus-limited conditions. Fungal communities showed high sensitivity to management intensity, with significant shifts between Ascomycota and Basidiomycota, whereas bacterial communities remained relatively stable due to functional redundancy. We recommend the adoption of moderate-density management as a sustainable practice to enhance soil nutrient cycling and maintain microbial diversity, thereby providing scientific support for sustainable plantation management. Full article

Accurate estimation of individual tree Above-Ground Biomass (AGB) is essential for assessing forest carbon sequestration. This study integrates multi-source Unmanned Aerial Vehicle (UAV) remote sensing (LiDAR and RGB) with machine learning to estimate the AGB of Larix principis-rupprechtii in a natural secondary forest. We applied an instance segmentation approach to identify individual trees and extract structural and spectral features, which were subsequently optimized before model training. Our results demonstrate that models utilizing combined multi-source features significantly outperformed those relying on a single data source. The Extreme Gradient Boosting (XGBoost) algorithm achieved the best performance, with an R² of 0.770 using the combined feature set. SHapley Additive exPlanations (SHAP) interpretation revealed that structural attributes—particularly tree height and crown volume—were the most influential predictors, underscoring their greater importance over spectral information. This study presents an effective and interpretable framework for accurate tree-level AGB estimation, supporting scalable monitoring of regional forest carbon dynamics. Full article

Crown width (CW) is a critical metric for characterizing tree-canopy dimensions; however, its direct measurement remains labor-intensive and is often impractical in inaccessible crowns. Consequently, CW is frequently derived from projections, which are susceptible to multiple sources of imprecision, including canopy density, crown irregularity, terrain heterogeneity, and the observer’s vantage point, especially in structurally complex natural forests. While deep neural network (DNN) models show substantial potential for CW prediction, their performance in heterogeneous forests remains uncertain. We developed DNN models integrated with a Height Threshold Method (HTM) to predict individual-tree CW in the natural mixed forests of Northern China, dominated by Larix principis-rupprechtii and Picea asperata. Our study further compared the relative importance of feature engineering versus model architectural complexity in predictive accuracy and identified the key ecological variables governing CW. The model performance was evaluated through the coefficient of determination (R²), mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). Field surveys of 34 representative sample plots produced 1884 individual-tree records. The main results were as follows: (1) all DNNs avoided overfitting, and were statistical stable under ten-fold cross-validation; (2) the optimized DNN3-2 model (tuned hidden layer count, neurons/hidden layer, L₂ regularization, and dropout) achieved peak performance, explaining 69% of CW variance with residuals with stable variance and excellent coverage properties; (3) tree size, neighborhood competition, species identity, and site quality were the most important predictors; and (4) stand parameters calculated from competitive neighborhoods defined by the HTM, particularly mean stand crowding, Simpson’s index (1-D), and Shannon’s index (H′), significantly improved prediction accuracy. By integrating DNN with the HTM, our approach allows for accurate prediction of individual-tree CW in natural mixed forests of Northern China, dominated by Larix principis-rupprechtii and Picea asperata. Full article

Northern artificial forests play a vital role in enhancing carbon sequestration and ecosystem services, yet quantitative evidence on how different management measures affect understory biodiversity and productivity remains limited. This study focused on Larix gmelinii var. principis-rupprechtii (Mayr) Pilg. plantations in Weichang, Hebei Province, and compared three forest management regimes: target-tree management, homogeneous management, and un-managed stands. We systematically examined understory plant diversity indices (Shannon, Simpson, Margalef, Gleason, and Pielou), shrub–herb layer biomass, soil organic carbon (SOC), and total nitrogen (TN), and employed correlation analysis and random forest modeling to identify the main driving factors. Results showed that target-tree management significantly enhanced both understory biodiversity and shrub–herb biomass, followed by homogeneous management, while unmanaged stands had the lowest values. Differences in SOC and TN among treatments were not significant. Stand structural factors were the dominant drivers: stand density and basal area were negatively correlated with diversity and biomass, while community evenness (Pielou) was positively correlated with biomass. Random forest analysis further indicated that basal area and stand density had the highest relative importance, followed by evenness, whereas soil factors contributed less. Mechanistically, target-tree management improved light availability and spatial distribution by reducing stand density, thereby increasing evenness and promoting biomass accumulation. Overall, optimizing stand structure, rather than merely increasing species richness, proved more effective in simultaneously enhancing biodiversity and productivity in light-limited Larix plantations. From a management perspective, target-tree management combined with density regulation and structural optimization is recommended to achieve near-natural management goals and enhance multiple ecological functions. Full article

To elucidate the adaptive strategies of leaf functional traits of Larix principis-rupprechtii in the context of climate change, this study chose 2 and 3 year-old seedlings of Larix principis-rupprechtii as the focal research objects. The experiment entailed transplanting seedlings obtained from different sources into high and low altitudes: 1600 m, 1900 m, 2100 m, and 2400 m, respectively. With changes in transplant elevation, seedlings showed variable responses in photosynthesis, water-use efficiency, and leaf morphology, depending on the altitude. High-altitude seedlings transplanted to low altitudes increased SLA and branch extension, enhancing photosynthesis and C-N metabolism. Conversely, low-altitude seedlings transplanted to high altitudes improved cold resistance primarily via leaf thickening, adjusting the chlorophyll a/b ratio, and enhancing the redistribution of soluble proteins. For high-altitude sources, water-use efficiency and transpiration rate were strongly linked to leaf nitrogen and the carbon-to-nitrogen ratio, respectively, indicating the optimisation of photosynthetic and water-use efficiency through modulation of chlorophyll-a content and branch extension. Low-altitude seedlings chiefly adjusted the chla/b ratio, leaf morphological traits, and soluble protein to cope with altitudinal change. In summary, variation in leaf functional traits among seedlings of Larix principis-rupprechtii across elevational gradients did not reflect isolated changes in individual traits but rather arose from integrated adjustments of photosynthetic capacity, resource allocation, and metabolic coupling, thereby optimising the balance between light capture, water usage, and stress tolerance. These results, therefore, offer insights into adaptive strategies under climate change. Full article

In this study, we focused on four major coniferous species in the eastern part of Inner Mongolia, namely Larix gmelinii var. principis-rupprechtii (Mayr) Pilg., Larix gmelinii (Rupr.) Kuzen., Pinus tabuliformis Carrière and Pinus sylvestris var. mongolica Litv. and carried out a systematic study on their ectomycorrhiae (EM) fungi. The present study was based on high-throughput sequencing. Based on the high-throughput sequencing data, analyzed by bioinformatics and statistical methods, the results showed that (1) a total of 150 operational taxonomic units (OTUs) were obtained, which belonged to 26 evolutionary branches of Basidiomycota and Ascomycota, respectively. Among them, Tricholoma, Tomentella-thelephora, Suillus-rhizopogon, Wilcoxina, Piloderma, Pustularia, Hygrophorus, Sebacina and Amphinema-tylospora are the EM fungi shared by four conifer species. (2) The species diversity and community composition of EM fungi differed significantly among tree species and sample plots, while soil total nitrogen (N) content and nitrogen/phosphorus (N/P) ratio were the main factors affecting community structure. (3) The Neutral Community Model (NCM) and β-Nearest Taxon Index (β-NTI) showed that stochastic processes dominated the construction of EM fungal communities. The results of this study revealed the geographical distribution pattern and maintenance mechanisms of EM fungal communities of four coniferous species in the eastern part of Inner Mongolia, which provides a scientific basis for the restoration practice of disturbed ecosystems and the sustainable development of the regional economy. Full article

Plant economics is based on carbon and nutrients rather than money. While leaf strategies aboveground are well characterized along an economic spectrum from “fast-growing and short-lived” to “slow and conservative,” economic models defined by aboveground shoot strategies remain unclear. Here, we offer a comprehensive view of aboveground economics and show that collaboration between shoots and stem cortical chlorenchyma can break out of the one-dimensional economic spectrum, offering a full range of economic possibilities. Trait data from 1551 current-year shoots of a single species confirm the classical fast–slow “conservation” gradient but reveal that most variation is explained by an orthogonal “cooperation” gradient, ranging from self-reliant resource acquisition to outsourced nutrient synthesis via the stem cortical chlorenchyma. This expanded “shoot economics space” provides a solid foundation for predicting aboveground responses to environmental change. Full article

The increasing rate of atmospheric nitrogen (N) deposition caused by human activities is a global concern. A rise in N deposition can alter the soil microbial community, as demonstrated by most long-term N addition experiments. Nevertheless, it remains unknown how short-term N addition influences the early succession of the soil microbial community in forests. In this study, the responses of the soil microbial community to multi-level and short-term (one-year) N addition in the soil of Larix gmelinii var. principis-rupprechtii (Mayr) Pilg. plantations in the Yanshan Mountains were explored. We used high-throughput sequencing technology to analyze the 16S rRNA of bacteria, the ITS gene of fungi, and the nifH functional gene of N-fixing bacteria. The results revealed a decrease in N-fixing functional gene abundance (such as nifH) and a slight rise in fungal and bacterial copy number due to N addition. N addition influenced the N-fixing bacterial community but had no influence on the fungal and bacterial communities in general. It drastically decreased the diversity of N-fixing microbial communities while having little impact on the diversity of fungi and bacteria. The NO₃⁻-N concentration exhibited a negative connection with the Shannon–Wiener index of the N-fixing microbial community when it exceeded a specific limit. Actinomycetes and N-fixing bacteria were significantly negatively correlated. The changes in soil NO₃⁻-N concentration and abundance of actinomycetes were the main reasons for the decrease in N-fixing microbial community diversity. The results of this study set the groundwork for exploring the initial succession mechanisms of soil microorganisms after N addition. This study offers a scientific theoretical basis for precise management of plantations under N deposition. Full article

Revealing soil microbial diversity and metabolic limitations in different land uses and soil depths is essential to understanding the regulation processes of soil nutrients. Here, bacterial and fungal microbial diversity and metabolic restriction in the 0–50 cm soil layers of four land uses, namely farmland, grassland, Betula platyphylla secondary forest, and Larix principis-rupprechtii-planted forest in the mountainous forest-grass ecotone of northern China, were determined. The results showed that soil microbial diversity in farmland was the lowest. Soil microorganisms from all land uses are limited by nitrogen, with the highest nitrogen limitation in planted forest. However, microbial nitrogen limitation in farmland increased with increasing soil depth, while microbial nitrogen limitation in grassland, secondary forest, and planted forest decreased with increasing soil depth. The bacterial and fungal community composition was influenced by soil organic carbon, total nitrogen, soil organic carbon:total phosphorus ratio, soil water content, soil organic carbon, and total nitrogen:total phosphorus ratio. The soil organic carbon:total phosphorus ratio has an impact on microbial metabolic limitation. This study shows that soil microbial communities were more affected by land-use type than soil depth. Land use changes the input of soil nutrients from aboveground plants, which affects the physical and chemical properties of soil, microbial community diversity, and microbial metabolic limitation. The vertical filtration effect between soil layers reduces soil nutrients, making the microbial diversity and enzyme activity of surface soil greater than those of deep soil. Our study helps to understand the function of soil microorganisms under different land use types in the forest-grass ecotone of northern China and provides a basis for predicting biogeochemical cycle dynamics in the ecotone in the context of global warming. Full article

Intra-order trait variation is a key driver of aboveground shoot performance at different branch basal heights. Although the basic light exposure and nutrient supply to shoots vary with branch basal height, most studies have focused on inter-order variation in shoot traits. However, how and to what extent shoot traits change with branch basal height, as well as whether a general intra-order pattern exists among different shoot orders, remain largely unclear. We compared intra-order variation in shoot diameter, length, specific stem length (SSL), and stem tissue density (STD) across four branching orders of Larix principis-rupprechtii along a vertical height gradient of 5.5–6.0 m. We tested (a) the degree of intra-order versus intra-order variation in shoot traits along the gradient and (b) whether intra-order trait patterns and their relationship with branch basal height were consistent across the four branching orders. Specifically, we hypothesized that within a branching order, shoot traits would undergo adjustments: shoots at higher positions would focus on growth (by increasing diameter and length), whereas shoots at lower positions would enhance resource acquisition (by increasing SSL) and protection (by increasing STD). Branching order explained most of the overall variation in shoot traits, including shoot diameter and length, but accounted for only a small portion of the variation in SSL and STD. Branch basal height explained only a small fraction of intra-order shoot trait variation, which was larger within than between basal heights. Moreover, the relationships between traits and branch basal height rarely aligned with our hypotheses and varied considerably across different shoot orders. Along the complex branch basal height gradient, where multiple traits change simultaneously, shoots of different shoot orders exhibit distinct patterns of variation, leading to specific intra-order trait variation. The lack of support for our hypothesis may result from the multifaceted interactions between light availability, spatial constraints, nutrient heterogeneity, and dynamic branch-order interactions. Our findings suggest that to better understand the impact of environmental variation on shoot performance, future research should integrate a more comprehensive analysis of shoot responses to change and measure a broader range of shoot traits and environmental variables. Full article

Clarifying spatiotemporal variations in transpiration and their influencing mechanisms is highly valuable for the accurate assessment of hillslope-scale transpiration and for the effective management of forest–water coordination. Here, the sap flow density, meteorological conditions, and soil moisture downslope and upslope of a Larix gmelinii var. principis-rupprechtii plantation hillslope were observed during the growing season (June to September) in 2023, China. The results revealed that transpiration per unit leaf area (T_L) was significantly lower at the upslope position than at the downslope position, with mean values of 0.21 and 0.31 mm·d⁻¹, respectively; these data were associated with the lower canopy conductance per unit leaf area induced by the higher vapor pressure deficit (VPD) and lower soil water content at the 40–60 cm soil depth at the upslope position. The temporal variations in the T_L were controlled by solar radiation, VPD, air temperature, and soil moisture at both slope positions, and the quantitative relationships established from these factors explained 89% of the variation in the T_L. The slope position did not affect the response functions between the T_L and the controlling factors but changed the contribution to the T_L. Compared with those at the downslope position, the contributions from solar radiation and VPD (air temperature) decreased (increased) at the upslope position, and the contribution of soil moisture was essentially similar at both slope positions. Transpiration mainly utilized water from the 20–60 cm soil depth; these results indicated that the soil water content at the 20–40 and 40–60 cm soil depths contributed more to the T_L than did that at the 0–20 cm soil depth. Based on our findings, changes in the environmental conditions caused by slope position have a critical impact on transpiration and can contribute to the development of hillslope-scale transpiration estimates and precise integrated forest and water management. Full article

Little information is available about the ecosystem carbon (C) storage among coniferous and broadleaved plantations with similar stand ages in North China. The aim of the present research was to estimate the C storages of the components of plants, litter, and soil in two coniferous plantations (Pinus tabulaeformis and Larix principis-rupprechtii) and two broadleaved plantations (Betula platyphylla and Populus davidiana) on Yanshan Mountain, North China. Allometric equations of diameter at breast height (DBH) and height (H) were used to quantify the biomass of the tree organs. The C storage of trees, herbs, litter, and soil were estimated based on the measured C contents. The C storage varied from 24.0 to 51.9 Mg ha⁻¹, 0.3 to 0.7 Mg ha⁻¹, and 1.9 to 4.0 Mg ha⁻¹ in the tree, herbs, and litter layers, respectively. The ecosystem C storages were as follows: B. platyphylla (164.1 Mg ha⁻¹) > P. davidiana (150.4 Mg ha⁻¹) > L. principis-rupprechtii (122.3 Mg ha⁻¹) > P. tabulaeformis (106.7 Mg ha⁻¹), 65.7%–75.6% of which was stored in the soil layer. Broadleaf plantations stored higher C than coniferous plantations in this study. These results indicate that ecosystem C storage varied among various plantation types, and broadleaf plantations had considerable ecosystem C sequestration potential with even-aged plantation stands. Full article

Intraspecific variation in functional traits can more accurately quantify plant responses to environmental changes and resource competition, while the plant economic spectrum provides a fundamental framework for understanding trait variation along environmental gradients. As the structural units of the aboveground branching system in woody plants, it remains unclear whether shoots exhibit a universal whole-plant economic spectrum and whether branch order significantly affects the patterns of trait variation and coordination. We collected 1551 shoots of Larix principis-rupprechtii to examine the patterns of trait variation and coordination from different branch orders to the whole-plant level. From the perspective of the plant economic spectrum, five functional traits were selected to represent the trade-off between structural and nutrient investment: the stem diameter (SD), stem length (SL), stem dry mass (SDM), specific stem length (SSL), and stem tissue density (STD). From different branch orders to the whole-plant level, allocation played a relatively more important role, and the patterns of pairwise trait correlations and trade-offs along the resource economic axis were consistent. Branch order did not strongly influence the correlations and degree of coordination within the shoot economic spectrum, as the whole-plant shoot economic spectrum was evident within each branch order. Our results support the hypothesis that the coordinated economic spectrum across branch orders forms an integrated whole-plant economic spectrum representing a “conservative–collaborative” resource management strategy. This strategy is robust to recent evolutionary changes (such as genotypic variation and even differences among shoots within the same species) as well as to variation across different branch orders. Full article

As the most active fundamental unit in the aboveground branching system of woody plants, it remains unclear the relative importance of acclimation at the level of allocation and morphology in shoots. Additionally, the main dimensions of trait variation in shoots and whether their trait relationships conform to the common assumptions of the root economics spectrum (RES) have not yet been established. By collecting 1551 larch shoots, we measured and estimated five functional traits, including shoot diameter (SD), length (SL), dry matter content (SDM), specific stem length (SSL), and stem tissue density (STD). Furthermore, we assessed the relationships between bivariate and multivariate traits through a Pearson correlation analysis and principal component analysis (PCA), including standardized major axis (SMA) regression analysis. We found that SDM exhibited the greatest degree of variation. Meanwhile, SL and SDM were significantly and strongly positively correlated with SD. In contrast, SSL and STD were significantly negatively correlated with SD, and SSL and STD showed a weak positive correlation. In addition, these five functional traits were distributed across two nearly orthogonal (independent) principal component analysis (PCA) axes. These results revealed that shoots generally exhibit greater flexibility in altering their biomass allocation compared to their morphology. Meanwhile, the variation in shoot traits is associated with two main dimensions: a diameter-related dimension potentially integrating shoot construction, maintenance, and persistence, and the other dimension consisting of SSL and STD traits representing shoot plastic responses to the environment. And the relationship between SD and STD does not support the predictions of the root economics spectrum (RES). Our study may offer a promising pathway for better understanding the functions and ecological strategies of shoots. Full article