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Forests

Forests is an international, peer-reviewed, open access journal on forestry and forest ecology published monthly online by MDPI.

Quartile Ranking JCR - Q2 (Forestry)

All Articles (15,590)

Poplars (Populus spp.) and their hybrids are increasingly being grown in coppice production to generate bioenergy feedstocks at frequent intervals. Allometric equations are re-quired to predict aboveground biomass (AGB) of coppiced individuals with minimal field measurements. Likewise, remote sensing tools like LiDAR (light detection and ranging) can be used if models are available to predict AGB from point cloud data. Therefore, this study sought to develop equations to predict dry woody AGB from field measurements and LiDAR data from coppiced poplar field trials containing eastern cottonwood (P. del-toides) and hybrid poplar taxa. We found that taxa-specific allometric models containing the summed basal area of the three largest stems in the coppice provided the best predictive model, with stem height and stem count failing to provide additional explanatory power. The best predictive LiDAR-based model was independent of taxa but had slightly lower adjusted R2 and higher RMSE than the allometric model. It contained four parameters including crown volume, leaf area index, variance of height returns, and the top point density (i.e., density metric 9 or the proportion of points in the highest point interval when the point cloud is evenly divided into ten vertical intervals). In total, these models can be used to quickly and efficiently estimate dry woody AGB of Populus coppice systems for bioenergy feedstock production.

7 February 2026

Mobile terrestrial LiDAR point cloud of an individual coppice stool with (a) understory herbaceous vegetation present and (b) understory herbaceous vegetation manually deleted from the point cloud. Color values and corresponding scale represent the height of the LiDAR points.

Afforestation enhances soil carbon storage through plant and microbial necromass accumulation, yet the roles of carbohydrate-active enzymes (CAZymes) and the microorganisms that encode them (biomass-decomposers) during plantation development remain poorly understood. Here, we integrated shotgun metagenomics with network analysis to decipher the successional dynamics of CAZyme-encoding genes, biomass-decomposers, and their functional linkages across a chronosequence of plantation development in northeastern China. Plantation development increased the abundance of CAZymes involved in lignin, chitin, and glucan degradation. Network analysis of biomass-decomposers revealed that the dominant function of key module M1 gradually shifted from peptidoglycan to lignin degradation through network reorganization during development. Across all developmental stages, the key modules whose dominant functions were peptidoglycan and hemicellulose degradation consistently harbored keystone species. In the overlap-network, these two functions served as dominant functions in more than one key module, confirming their essential role in maintaining fundamental community functions. Stochastic processes predominantly governed the assembly of biomass-decomposers, with increasing influence during development (R2 > 0.6). Variation in both biomass-degrading CAZymes and decomposers showed the strongest association with soil organic carbon, with CAZymes further structured by pH and nitrate nitrogen, whereas biomass-decomposers responded to moisture and total nitrogen. Overall, these findings provide new insights into belowground C cycling during plantation development, potentially guiding improved ecosystem management practices for forest restoration.

6 February 2026

Dynamics of CAZyme genes involved in dead biomass decomposition during plantation development. (a) Relative abundance of CAZyme gene associated with plant- and microbial-derived biomass decomposition. (b) Principal coordinate analysis (PCoA) of CAZyme gene composition for dead biomass decomposition based on Bray–Curtis distances. (c) Linear regression of CAZyme gene abundances for dead biomass decomposition against stand age. CAZyme gene abundances for (d) plant-derived cellulose decomposition, (e) plant-derived hemicellulose decomposition, (f) plant-derived lignin decomposition, (g) fungi-derived chitin decomposition, (h) fungi-derived glucans decomposition, and (i) bacteria-derived peptidoglycan decomposition across sites. Different lowercase letters denote significant differences between groups (p < 0.05). **, p < 0.01; ***, p < 0.001; ****, p < 0.0001.

Soil organic matter (SOM) molecular composition governs its stability and ecological functions in forest ecosystems. Nevertheless, how land-use changes (LUCs) regulate the SOM molecular composition remains poorly understood, particularly the underlying mechanisms mediated by soil properties. This study investigated the effects of LUCs on SOM molecular composition in a subtropical coastal region and examined the driving roles of soil nutrient availability and enzyme activities. The research was conducted in Huanghai National Forest Park, Jiangsu Province, China, focusing on four land-use types converted from historical wheat cropland (W, as control): monoculture plantations of Ginkgo biloba (G) and Metasequoia glyptostroboides (M), a ginkgo–metasequoia mixed forest (GM), and a ginkgo–wheat agroforestry system (GW). Soil samples were collected from 0 to 20 cm and 20–40 cm layers and analyzed for SOM molecular compositions using solid-state 13C nuclear magnetic resonance (NMR) spectroscopy. Soil chemical properties and enzyme activity activities were also determined, with redundancy analysis (RDA) and correlation analysis applied to identify key influencing factors. Results demonstrated that LUCs significantly altered SOM molecular composition. The GW system exhibited the highest proportion of labile O-alkyl carbon (42.65%), while the M plantation accumulated greatest levels of stable aromatic carbon (up to 49.25%). During the initial decades following afforestation, soil nutrient availability and enzyme activities were confirmed as pivotal drivers of SOM molecular variation. Specifically, available potassium (AK), ammonium nitrogen (AN), and the carbon/phosphorus (C/P) ratio were significantly correlated with specific SOM components (p < 0.05). The elevated O-alkyl carbon proportion in GW was closely associated with its higher invertase activity. Notably, vertical differentiation in SOM stability was observed across land-use types, with the agroforestry system achieving the highest carbon pool management index in surface soil but showing a weakened capacity for subsoil C stabilization. RDA further confirmed that AK and AN were dominant factors shaping SOM molecular composition. In conclusion, LUCs modulate SOM chemical composition and stability primarily through altering soil nutrient availability and associated enzyme activities. Agroforestry system facilitates labile C accumulation in surface soil, whereas monoculture plantations are more conducive to stable C sequestration, especially in subsoil layers. These findings provide novel mechanistic insights into SOM dynamics following LUCs and offer a theoretical basis for formulating tailored management strategies to enhance C sequestration efficiency in subtropical coastal ecosystems.

6 February 2026

Soil available nutrients in 0–20 cm and 20–40 cm soil layers across different land use types in the subtropical coastal region. (a) Ammonium nitrogen (AN), (b) nitrate nitrogen (NN), (c) available phosphorus (AP), and (d) available potassium (AK). Different lowercase letters indicate significant differences among different land use types within the same soil layer (p &lt; 0.05). W, wheat–maize rotation cropland; G, pure Ginkgo biloba plantation; M, pure Metasequoia glyptostroboides plantation; GW, ginkgo–wheat agroforestry system; and GM, ginkgo–metasequoia mixed plantation.

This study provides a field evaluation of a deep container-based nursery system for tropical dry forest species. Deep containers are expected to improve seedling quality for dryland restoration, but their applicability to tropical dry forest species remains poorly documented. This study examined species-specific responses of five tropical dry forest species to two contrasting nursery systems, including a deep container system, under practical conditions. Five tropical dry forest species in Myanmar were raised in two nursery systems: conventional vinyl pots (18 cm depth) filled with soil-based media amended with manure and deep M-StAR containers (60 cm depth) filled with coconut peat and supplied with chemical fertilizer. Seedling morphology was assessed in the nursery, and survival and growth were monitored after outplanting. Seedlings raised in the deep container system exhibited substantially greater growth in the nursery phase across all species, attaining a several-fold larger size than conventional seedlings, and this size advantage persisted for 16 months after outplanting. However, higher survival was observed only for Tamarindus indica raised in this system (76%) compared with the conventional system (21%), whereas the other four species showed high survival (>80%) regardless of the nursery system. The observed benefits reflect the combined effects of the deep container system, and early post-planting survival may be species-specific and related to drought strategies.

6 February 2026

Rainfall, average daily temperature, and volumetric soil water content (%) at 20 cm, 60 cm, and 100 cm depths. Bars indicate standard errors of means (n = 3). Data on temperature from July to November 2018 and soil moisture from December 2019 were missing.

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Plant Invasion
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Plant Invasion

Editors: Bruce Osborne, Panayiotis G. Dimitrakopoulos
Modeling Aboveground Forest Biomass
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Modeling Aboveground Forest Biomass

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Editors: Ana Cristina Gonçalves, Teresa Fidalgo Fonseca

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Forests - ISSN 1999-4907