Search Results (801)

Accurately predicting pollutant emission factors (EFs) from woody biomass fuels remains challenging because small-scale combustion tests are fuel-specific, time-consuming, and highly sensitive to operating conditions. This study combines controlled laboratory combustion experiments with a physics-informed artificial neural network (ANN–PINN) to estimate the emission factors of particulate matter (${\mathrm{EF}}_{PM}$), carbon monoxide (${\mathrm{EF}}_{CO}$), and nitrogen oxides (${\mathrm{EF}}_{NOx}$) using only laboratory-scale fuel characterization. Three pelletized woody biomass, Pinus radiata, Acacia dealbata, and Nothofagus obliqua, were analyzed through ultimate and proximate composition, lignin content, and TGA-derived parameters and tested in a residential pellet stove under identical control setpoints, resulting in a narrow and well-defined operating regime. A medium-depth ANN–PINN was constructed by integrating mechanistic constraints, monotonicity based on known emission trends and a weak carbon balance penalty, into a feed-forward neural network trained and evaluated using Leave-One-Out Cross-Validation. The model accurately reproduced the experimental behavior of ${\mathrm{EF}}_{CO}$ and captured structured variability in ${\mathrm{EF}}_{PM}$, while the limited nitrogen variability of the fuels restricted generalization for ${\mathrm{EF}}_{NOx}$. Sensitivities derived via automatic differentiation revealed physically coherent relationships, demonstrating that PM emissions depend jointly on fuel chemistry and aero-thermal conditions, CO emissions are dominated by mixing and temperature, and ${\mathrm{NO}}_x$ formation is primarily governed by fuel-bound nitrogen. When applied to external biomass fuels characterized independently in the literature, the ANN–PINN produced physically plausible predictions, highlighting its potential as a rapid, low-cost screening tool for assessing new biomass feedstocks and supporting cleaner residential heating technologies. The integrated experimental–PINN framework provides a physically consistent and data-efficient alternative to classical empirical correlations and purely data-driven ANN models. Full article

The composition and biological activity of bee pollen are strongly influenced by its botanical origin, which is determined by the regional flora and environmental conditions. In Algeria, despite the growing consumption and traditional use of bee products, especially in the Mediterranean region known for its rich floral biodiversity, scientific studies on bee pollen remain scarce. This study aims to characterize bee pollen from the Mediterranean region of Algeria by identifying its botanical origin and evaluating its total phenolic content, total flavonoid content, antioxidant activity, and minerals. A total of 27 bee pollen samples were collected and subjected to palynological analysis to determine their floral sources. Total phenolic content and total flavonoid content were determined by standard colorimetric assays, and antioxidant activity was assessed using RSA with a DPPH assay, ABTS⁺•, and FRAP methods. The results revealed significant variability in the phenolic composition and antioxidant capacity of the samples, depending on their botanical origin. Pollen types such as Brassica napus type, Acacia, Myrtus communis, and Sinapis alba showed notably higher phenols, flavonoids, and antioxidant activity, whereas Hedysarum and Daucus carota pollen exhibited the lowest values. The mineral profile, including macro- and microelements (such as K, Ca, Mg, P, Fe, Cu, Mn, and Na), was determined to explore the nutritional value and potential correlations with biochemical parameters. These findings highlight the influence of floral biodiversity on the bioactive potential of bee pollen and underscore the value of Algerian bee pollen as a promising source of natural antioxidants. Full article

Agomelatine (AG) is a novel antidepressant characterized by distinct mechanism of action and minimal side effects. However, extensive first-pass hepatic metabolism limits its clinical efficacy after oral administration, leading to low bioavailability (<5%). To get around these restrictions, the current study set out to create and assess a rectal thermosensitive in situ gel using biosynthesized AG-silver nanoparticles (AG-AgNPs). AG-AgNPs were successfully synthesized with gum acacia as a stabilizing agent, using silver nitrate as a precursor, and ascorbic acid as a reducing agent. The in situ gel formulation was optimized using a 3² factorial design, and then physicochemical, in vitro, and in vivo assessments were conducted. Nanoparticle formation was also evidenced by the appearance of a visible color change, UV-VIS, TEM, and XRD analysis techniques, which depicted spherical-shaped nanoparticles and a crystalline nature. The formulated optimized thermosensitive in situ gel showed good properties, which included drug content of 91.64%, gelation temperature of 26.63 °C, pH of 7.2, gel strength of 36.98 s, and sustained drug release of 80.24% in 6 h. The relative bioavailability in animal studies showed a remarkable increase in systemic availability with 277.5% relative bioavailability in comparison to an oral tablet formulation. In summary, results show that the AG-AgNP-loaded thermosensitive in situ gel could have potential use as a rectal delivery drug for bypassing first-pass effects and improving bioavailability for the drug Agomelatine. Full article

Acacia melanoxylon R.Br. demonstrates strong biological nitrogen–fixation capacity and favourable economic returns, making it a promising candidate for the development of subtropical forestry in South Asia. It is a fast–growing leguminous tree species widely promoted for cultivation in China, and it is also one of the ideal tree species for improving soil fertility in forest lands. What are the synergistic mechanisms between A. melanoxylon-Eucalyptus stands and pure Eucalyptus spp.? Current theories regarding A. melanoxylon–Eucalyptus systems remain relatively fragmented due to the lack of effective silvicultural measures, resistance studies, and comprehensive ecological–economic benefit evaluations. The absence of an integrated analytical framework for holistic research on A. melanoxylon–Eucalyptus systems makes it difficult to summarise and comprehensively analyse their growth and development, thereby limiting the optimisation and widespread application of their models. This study employed CiteSpace bibliometric analysis and qualitative methods to explore ideal tree species combination patterns, elucidate their intrinsic eco–economic synergistic mechanisms, and reasonably reveal their collaborative potential. This study systematically reviewed silvicultural management, stress physiology, ecological security, and economic policy using the Chinese and English literature published from 2010 to 2025. The narrative synthesis results indicated that strip intercropping (7:3) is widely documented as an effective model for creating vertical niche complementarity, whereby canopy light and thermal utilisation by A. melanoxylon species improve subsoil nutrient cycling by enhancing stand structure. A conceptual full–cycle economic assessment framework was proposed to measure carbon sequestration and timber premiums. Correspondingly, this conversion of implicit ecological services into explicit market values acted as a critical tool for decision–making in assessing benefit. A three–dimensional “cultivation strategy–physiological ecology–value assessment” assessment framework was established. This framework demonstrated how to move from wanting to maximise the output of an individual component to maximising the value of the whole system. It theorised and provided guidance on resolving the complementary conflict between “ecology–economy” in the management of sustainable multifunctional plantations. Full article

Honey variety authentication is critical for ensuring market integrity and protecting consumer rights, especially for high-value unifloral honeys, such as acacia honey, which are frequently adulterated with low-value alternatives such as rape honey due to their similar visual appearance. The aim of this study was to develop a method for precise discrimination between rape honey and acacia honey using their chemical profiles combined with machine learning. A total of 542 honey samples were collected from major beekeeping regions in China. Targeted quantification of 12 sugars and 20 amino acids was performed using UPLC-MS/MS. Multivariate analysis revealed significant differences in sugar and amino acid compositions between the two honey types, though partial samples overlapped due to chemical similarity. Six machine learning algorithms, including the Multilayer Perceptron, were employed for classification. Optimization was performed via 10-fold cross-validation and ADASYN oversampling, yielding optimal performance of 98% and 100% prediction accuracies for rape honey and acacia honey, respectively, on the independent test set. SHAP (Shapley Additive Explanations) analysis identified key differential markers, including fructose, turanose, glucose, and GABA, which contributed most to the classification. Furthermore, a user-friendly web application was developed to facilitate rapid on-site authentication. This study provides an innovative technical framework for honey variety discrimination, with potential applications in quality control and anti-fraud practices. Full article

The increasing challenges posed by climate change demand holistic approaches to mitigate ecosystem degradation. In Mediterranean-type regions—biodiversity hotspots facing intensified droughts, fires, and biological invasions—such strategies are particularly relevant. Among invasive species, Acacia longifolia produces substantial woody and leafy biomass when removed, offering an opportunity for reuse as soil-improving material after adequate processing. This study aimed to evaluate the potential of invasive A. longifolia Green-waste compost (Gwc) as a soil amendment to promote soil recovery and native plant establishment after fire. A field experiment was carried out in a Mediterranean ecosystem using Arbutus unedo, Pinus pinea, and Quercus suber planted in control and soils treated with Gwc. Rhizospheric soils were sampled one year after plantation, in Spring and Autumn, to assess physicochemical parameters and microbial community composition (using composite samples) through Next-Generation Sequencing. Our study showed that Gwc-treated soils exhibited higher moisture content and nutrient availability, which translated into improved plant growth and increased microbial richness and diversity when compared with control soils. Together, these results demonstrate that A. longifolia Gwc enhances soil quality, supports increased plant fitness, and promotes a more diverse microbiome, ultimately contributing to faster ecosystem recovery. Transforming invasive biomass into a valuable resource could offer a sustainable, win–win solution for ecological rehabilitation in fire-affected Mediterranean environments, enhancing soil and ecosystem functioning. Full article

(1) Background: In the Sudano-Sahelian zone of Cameroon, which is affected by drought and forest decline, Vachellia nilotica leaves and seeds are fodder for livestock. (2) Methods: A provenance and progeny study on growth performance and heritability of V. nilotica was carried out to provide a reliable database for tree selection, improvement programs, and the creation of future forested areas in this region. Open-pollinated seeds from 120 mother trees (10 half-sib families per provenance) representing twelve provenances, 50–100 km apart, were used for a progeny trial near Maroua, the Far North region of Cameroon. The experimental design was a Fisher block. (3) Results: The results reveal significant differences among provenances only for the number of leaves, and the variability was marked by coefficients of variation ranging from 0.24−0.63. Narrow-sense heritability was measured, varying from 0.01 ± 0.009 to 0.74 ± 0.02, and genetic gain reached 21.83 at the selection intensity of 5% for the number of leaves per plant. The phenotypic coefficient of variation varied between 14% and 90%. Half-sib families were classified into three subgroups using hierarchical ascending classification, and provenances were grouped into five groups using principal component analysis. (4) Conclusions: These results could contribute to initiating tree selection, but more provenances, longer-term experiments, and molecular genetic testing are needed to complement these nursery-level observations. Full article

Active restoration structures such as microtopographic water-harvesting designs are widely implemented in dryland ecosystems to improve soil moisture, reduce erosion, and promote vegetation recovery. We assessed the combined effects of planted species identity, planting diversity (mono-, bi- and multi-species mixtures), and micro-catchment (half-moon) structures on seedling performance and spontaneous natural regeneration in a hyper-arid restoration pilot site in Sharaan National Park, northwest Saudi Arabia. Thirteen native plant species, of which four—Ochradenus baccatus, Haloxylon persicum, Haloxylon salicornicum, and Acacia gerrardii—formed the dominant planted treatments, were established in 18 half-moons and monitored for survival, growth, and natural recruitment. Seedling survival after 20 months differed significantly among planting treatments, increasing from 58% in mono-plantings to 69% in bi-plantings and 82% in multi-plantings (binomial GLMM, p < 0.001), indicating a positive effect of planting diversity on establishment. Growth traits (height, collar diameter, and crown dimensions) were synthesized into an Overall Growth Index (OGI) and an entropy-weighted OGI (EW-OGI). Mixed-effects models revealed strong species effects on both indices (F_12,369 ≈ 7.2, p < 0.001), with O. baccatus and H. persicum outperforming other taxa and cluster analysis separating “fast expanders”, “moderate growers”, and “decliners”. Trait-based modeling showed that lateral crown expansion was the main driver of overall performance, whereas stem thickening and fruit production contributed little. Between 2022 and 2024, half-moon soils exhibited reduced electrical conductivity and exchangeable Na, higher organic carbon, and doubled available P, consistent with emerging positive soil–plant feedbacks. Spontaneous recruits were dominated by perennials (≈67% of richness), with perennial dominance increasing from mono- to multi-plantings, although Shannon diversity differences among treatments were small and non-significant. The correlation between OGI and spontaneous richness was positive but weak (r = 0.29, p = 0.25), yet plots dominated by O. baccatus hosted nearly two additional spontaneous species relative to other plantings, highlighting its strong facilitative role. Overall, our results show that half-moon micro-catchments, especially when combined with functionally diverse native plantings, can simultaneously improve soil properties and promote biotic facilitation, fostering a transition from active intervention to passive, self-sustaining restoration in hyper-arid environments. Full article

The nitrogen (N) uptake preferences of mature tropical trees remain poorly understood, largely because traditional hydroponic methods fail to adequately simulate field conditions. To address this, we applied an in situ whole-tree paired ¹⁵N labeling experiment to quantify N acquisition strategies in three common species of tropical plantations in southern China: Hevea brasiliensis, Pinus caribaea, and Acacia mangium. The in situ whole-tree paired ¹⁵N labeling experiment revealed distinct species-specific nitrogen uptake strategies: Hevea brasiliensis preferentially absorbed nitrate (contributing 76% to total N uptake), Pinus caribaea relied more heavily on ammonium (61%), while Acacia mangium exhibited no strong preference for either N form but demonstrated the highest N uptake rate. These findings indicate the significant role of mycorrhizal type and biological nitrogen fixation in shaping N uptake patterns. Importantly, even when accounting for the dilution by the soil nitrogen pool, nitrate still contributed 42–99% of the total nitrogen uptake across the three tree species. All three species showed a substantial capacity for nitrate assimilation, challenging the conventional view of ammonium dominance in tropical trees and providing a mechanistic basis for refining nitrogen management practices in plantation forestry. Full article

Surveys conducted in a nursery located in eastern Sicily, southern Italy, revealed the presence of plants of Vachellia nilotica (syn. Acacia arabica), V. farnesiana (syn. A. farnesiana) and Pithecellobium dulce showing symptoms of trunk and branch canker, shoot dieback and general decline. Laboratory fungal isolation from wood tissues showed high percentage of Diaporthe-like (60–62%) and Botryosphaeriaceae-like fungi (21–85%) constantly associated with the diseased samples. Subsequent molecular characterization of recovered isolates was based on sequencing of the complete internally transcribed spacer region (ITS), the translation elongation factor 1-alpha (tef1) and the beta-tubulin (tub2) regions, followed by multi-locus phylogenetic analyses. The isolates collected from symptomatic tissues were phylogenetically characterized as Diaporthe foeniculina and Neofusicoccum parvum. Pathogenicity tests were conducted on Acacia and P. dulce plants and results showed that both species were pathogenic, being able to induce necrotic lesions on the stem. To our knowledge this is the first report worldwide of D. foeniculina and N. parvum infecting A. arabica, A. farnesiana and P. dulce. Full article

Pruning is a regular and essential urban tree maintenance practice aimed at sustaining overall health, ecosystem services, and public safety. However, knowledge of post-pruning recovery dynamics remains limited, which in turn hinders accurate assessments of growth and ecological functions. To address this, we examined recovery dynamics of Acacia auriculiformis, a common urban species. Tree height and crown radius were recorded monthly for 12 months after pruning. Trees were classified into two size groups based on diameter at breast height (DBH, trunk diameter measured at 1.3 m above ground): medium (DBH < 45 cm) and large (DBH ≥ 45 cm). A generalized linear mixed model (GLMM), appropriate for repeated measures and non-normal data, was fitted using a Tweedie distribution and a log-link function to model the recovery pattern. Results showed continuous growth over time, with medium-sized trees presenting significantly higher crown radius growth than large trees (p = 0.006), while height growth did not differ (p = 0.788). The best model for height included time (AIC = −846.4), whereas crown recovery was best modelled by time and size class (AIC = −1586.6). These findings demonstrate that, in this study, medium-sized A. auriculiformis generally recover faster, especially in crown expansion. This exploratory study suggests that tree size may influence post-pruning recovery and can provide a reference for subsequent differentiated management studies. The morphological modeling further provides preliminary quantitative evidence for annual recovery dynamics in urban A. auriculiformis. Full article

Invasive species can profoundly alter ecosystems through mechanisms such as allelopathy. This study evaluates the allelopathic effects of Acacia dealbata and Hakea decurrens subsp. physocarpa on two dominant Mediterranean native species, Cistus ladanifer and Lavandula stoechas. Germination bioassays using aqueous extracts (1:10 w/v) at concentrations of 1, 1/2, and 1/4 of leaves collected in March and September were used to evaluate germination, hypocotyl emergence, and root development compared to control values (water) and between treatments. The phenolic composition of the solutions used was also analyzed. Significant inhibitory effects were observed across all parameters, especially at high concentrations, with responses modulated by the invasive species, the native target, and seasonal variation. A. dealbata showed stronger phytotoxicity in March, while H. decurrens subsp. physocarpa was more active in September. Phytochemical analysis revealed a higher load of phenolic compounds in A. dealbata, which may be related to the greater allelopathic activity of this species. These findings confirm the allelopathic potential of both invasive species and their ability to interfere with the establishment of native plants while facilitating their own, potentially impacting the colonization success of invasive species and altering vegetation succession in Mediterranean ecosystems. Full article

The standard methods for determining the basic chemical composition of wood are well-established, but include processes that demand a great deal of time and diverse chemical reagents. TGA and DTG analyses, in contrast, offer precise results in less time. This study was designed to identify the primary components and results of the proximal analysis of wood from three species –Acacia farnesiana, A. pennatula and Albizia plurijuga—using TGA with deconvolution of the DTG curve and a chemical method. Higher heating value (HHV) was determined using a bomb calorimeter and mathematical models. Elemental organic and inorganic analyses were conducted. No statistically significant differences appeared in the results of the TGA-DTG and chemical methods for the wood in terms of cellulose, lignin, and volatile material content. Results were especially accurate in the samples of A. pennatula and A. plurijuga for hemicelluloses, extractives, and moisture. Regarding HHV, the wood of A. plurijuga showed no statistically significant differences between the bomb calorimeter test, calculations as a function of chemical composition, or the proximal analysis. Elemental organic results were C = 43.76–46.65%; H = 6.70–6.95%; O = 46.06–48.95%; N = 0.21–0.42%; and S = 0.06–0.11%. For the inorganic fraction we identified 18 elements in the ash. We conclude that the TGA-DTG method made it possible to obtain results in a short time with no need for the numerous reagents that chemical processes require. Findings suggest that in the absence of a bomb calorimeter, the best model for calculating HHV is proximal analysis. Full article

The study evaluated the effects of including condensed tannins (CT) from Acacia mearnsii bark in the drinking water of broilers on performance, intestinal health, and meat quality. A total of 240 male Cobb 500 chickens were distributed into three treatments: negative control (NC, without tannin), NC + 500 g/m³ of condensed tannin (CT50), and NC + 700 g/m³ of tannin (CT70), with the doses defined based on a pilot study. The experiment showed that CT50 presented better initial performance (d1–21), with greater weight gain and better productive efficiency index (PEI). But when evaluating the initial and growth phases simultaneously (d1–35), we found that birds from CT50 had better feed conversion and PEI compared to NC. When considering the total experimental period (d1–42), there was no effect of the treatment on performance. In the intestine and meat, lower levels of reactive oxygen species and lipid peroxidation were observed in CT50 and CT70 compared to NC, combined with higher levels of non-protein thiols. The CT70 treatment favored meat quality, reducing saturated fatty acids and increasing the concentration of unsaturated fatty acids, ω6, and the UFA/SFA ratio. There were no significant changes in the depth of the intestinal crypts, but the greater height of villi and number of enterocytes in the groups that consumed tannins are indicative of improved intestinal health. The thickness of the intestinal wall was lower in the chickens that consumed the condensed tannin compared to the NC. Lower concentrations of total proteins, albumin, and globulin in the serum were observed in the CT70 when compared to the NC. It is concluded that the use of tannins in the drinking water can be a viable strategy to improve the performance in the initial phase (d1–21) and meat quality of chickens. Full article