Search Results (761)

Rural policy is pivotal to achieving the UN 2030 Agenda amid rapid global urbanization. This study integrates bibliometric analysis, stage-based comparative policy analysis, and quantitative SDG alignment modeling across six economies (USA, Germany, Japan, China, India, South Africa) spanning 79 rural policy documents from 1913 to 2025. Each document was scored against all 17 SDGs using a three-point ordinal scale, with AI-assisted coding validated through independent human review (inter-coder reliability: Cohen’s κ = 0.763, indicating substantial agreement prior to reconciliation). Bibliometric results document a post-2015 shift from sectoral silos to integrated sustainability frameworks. Generalized Linear Models (GLMs) identify a pattern of “aggregate convergence with structural divergence”: the year of policy enactment is the sole significant predictor of overall SDG alignment (p < 0.01), while income stage and development status show no independent effect on total scores, indicating that global discourse diffusion drives the universal rise in SDG coverage. However, per-SDG regressions demonstrate that income stage and the developed–developing divide significantly shape which specific SDGs receive attention: “late-emergence” goals scale with income, while “development-imperative” goals are systematically prioritized in developing countries. Three distinct evolutionary trajectories are proposed as interpretive constructs derived from comparative analysis: a U-shaped remedial path in developed economies, a J-shaped leapfrogging path in developing economies, and China’s unique Compressed Checkmark trajectory. A Research–Policy–Development nexus model suggests that economic stages act as a “filter” channeling governance capacity toward goals aligned with prevailing social needs. The findings suggest that developing countries may benefit from a “late-comer discursive advantage” in policy-text alignment; however, policy-text alignment does not imply implementation capacity, and realizing SDGs depends fundamentally on developmental resources to bridge vision and reality. Full article

Introduction: Plantar fasciosis is a common degenerative condition characterized by structural alterations of the plantar aponeurosis, including increased thickness and loss of its normal fibrillar pattern. Ultrasound imaging is widely used to assess these changes; however, the validity of plantar aponeurosis thickness as a marker of tissue recovery remains controversial. Dextrose prolotherapy has been proposed as an effective treatment for this condition, although its effects are not yet fully established. In particular, different injection approaches have been described, such as perifascial and intrafascial techniques, whose comparative effectiveness remains unclear. Therefore, the aim of this study was to evaluate longitudinal changes in plantar aponeurosis thickness and fibrillar pattern following treatment with these two prolotherapy approaches. Methods: A total of 56 patients with plantar fasciosis were prospectively evaluated over a one-year period following treatment with 20% dextrose prolotherapy. Ultrasound assessments were performed at multiple time points to measure plantar aponeurosis thickness and to qualitatively evaluate the fibrillar pattern (recovered vs. non-recovered). Longitudinal changes in thickness were analyzed using repeated-measures generalized linear models (GLMs), while differences in fibrillar pattern recovery according to injection technique (intrafascial vs. perifascial) were assessed using the chi-square test and Fisher’s exact test. Results: No significant changes in plantar aponeurosis thickness were observed over the follow-up period (p = 0.260), despite a slight decreasing trend. In contrast, recovery of the fibrillar pattern was observed in 92.9% of patients (52/56) at one year. The recovery rate was significantly higher in the perifascial group (100%) compared to the intrafascial group (80%) (Fisher’s exact test, p = 0.013). Qualitative fibrillar pattern assessment was independently re-evaluated by a blinded second examiner, demonstrating almost perfect inter-rater agreement (Cohen’s κ = 0.83). Conclusions: Dextrose prolotherapy was associated with ultrasonographic evidence of structural tissue remodeling of the plantar aponeurosis, as evidenced by recovery of the fibrillar pattern, without inducing significant changes in thickness. These findings suggest that assessment of the fibrillar pattern may offer additional information regarding structural remodeling following 20% dextrose prolotherapy, whereas plantar aponeurosis thickness remained relatively stable throughout follow-up. Full article

Background/Objectives: Given the limited evidence on multi-distance visual function assessment in presbyopia, this study aimed to compare dynamic binocular visual function between presbyopic and non-presbyopic (NP) participants at different distances, and to further evaluate the effects of additional power (ADD) on dynamic sharpness discrimination, binocular integration, and dynamic stereopsis in presbyopic participants. Methods: A total of 54 presbyopic and 77 NP participants were tested at 0.4 m, 0.7 m, 1 m, and 3 m using a dichoptic rotating ring system with red-blue anaglyph glasses. Presbyopia was classified as low (LP, ADD < 1.5D) or high (HP, ADD ≥ 1.5D). Tests included dynamic sharpness discrimination, binocular integration, and stereopsis. To account for potential confounders, generalized linear models (GLM) were applied with sex, eye laterality, age, ADD, spherical equivalent (SE), and group as covariates, allowing comparison of visual function outcomes across different viewing distances between NP and ADD-stratified presbyopic groups. Results: There was no statistically significant difference in the passing rates of dynamic sharpness discrimination test between the presbyopic and NP groups (all p > 0.05). At 0.4 m, 0.7 m, and 1 m, the presbyopic group showed significantly lower passing rates in the binocular integration test compared with the NP group (all p < 0.05), while no significant difference was observed at 3 m (p = 0.051). Furthermore, the passing rates for binocular integration test at all distances were significantly lower in the HP group than those in both the NP and LP groups (all p < 0.05). GLM analysis indicated that both SE and age were potential confounders in the comparison of binocular integration between presbyopic and NP groups (both p < 0.05). There were no significant differences in the passing rates of binocular dynamic stereopsis test at any distance between the NP and presbyopic groups, or between the LP and HP groups (all p > 0.05). Conclusions: This novel dynamic testing method revealed ADD-dependent impairment of binocular integration at near-to-intermediate distances in patients with presbyopia. Full article

Environmental contamination by rare earth elements (REEs) is increasing globally due to their extensive use in modern technologies, medicine, agriculture, and aquaculture. Their release into aquatic systems via wastewater discharge, industrial emissions, surface runoff, and atmospheric deposition has raised concerns regarding their environmental fate and potential ecotoxicological effects. Despite this, information on REE accumulation in marine predators remains limited. This study provides a multi-species assessment of REE bioaccumulation in elasmobranchs. Concentrations of 14 REEs (Ce, Dy, Er, Eu, Gd, Ho, La, Lu, Nd, Pr, Sm, Tb, Tm, and Yb) were quantified in liver and muscle tissues of six elasmobranch species collected from demersal and deep-sea habitats along the Portuguese continental shelf. Generalized linear models (GLMs) were used to evaluate differences in REE concentrations among species and tissues, and to explore potential patterns associated with ecological traits. Results indicated that REE concentrations varied significantly across tissues and species, with muscle generally exhibiting higher accumulation than liver. Overall, this study provides the first comprehensive baseline of REE bioaccumulation in elasmobranchs from the Portuguese coast, contributing to a better understanding of emerging contaminants in marine food webs. These findings have important implications for environmental biomonitoring and highlight potential risks associated with seafood consumption. Full article

Metallurgical lifting equipment operates under prolonged heavy-load, high-impact, and complex working conditions. The resulting failure reports contain rich field knowledge applicable to fault diagnosis and predictive maintenance. Nevertheless, reliably extracting traceable, structured knowledge from procedural and implicit maintenance records remains a significant challenge. To address this, the paper proposes a generative information extraction method for large language models (LLMs) that integrates ontology schema with inference chain constraints, targeting knowledge extraction and knowledge graph construction from failure reports of metallurgical lifting equipment, named generative constrained information extraction for operations and maintenance (GCIE-OM). A domain ontology schema is first constructed, defining seven entity types and nine relation types to establish explicit knowledge boundaries for structured LLM generation. An inference chain-assisted structured parsing method, termed IC-ASP, is then designed to guide the model through a sequential extraction pipeline comprising scene identification, scope of entity boundary, inference of relation type, evidence traceability with localization, and triple output. This stepwise process strengthens the model’s capacity to comprehend equipment hierarchies, fault evolution chains, and maintenance action logic. Building on this, ChatGLM or LLaMA serves as the backbone model and is adapted to the target domain via LoRA fine-tuning. Entity alignment and character-level source localization mechanisms are further introduced to establish precise mappings between generated outputs and their textual evidence in the source documents. The extracted results are ultimately converted into standardized knowledge triples and stored in a Neo4j graph database. Based on this, a prototype system for generative information extraction is designed and implemented to demonstrate the practical effectiveness and adaptability of the proposed method. Experimental results show that the proposed method outperforms baseline methods across entity recognition, relation extraction, and structured output quality, providing robust knowledge support for fault tracing and predictive maintenance of metallurgical lifting equipment. Full article

Background and Objectives: Anemia is a common complication of chronic kidney disease (CKD) and is associated with reduced quality of life, accelerated disease progression, and increased cardiovascular risk. Sodium–glucose cotransporter-2 inhibitors (SGLT2is) have demonstrated significant renal and cardiovascular benefits, and clinical trials have reported improvements in hematologic parameters during treatment. However, real-world evidence regarding their longitudinal effects on hemoglobin (Hb) and iron metabolism in patients with CKD remains limited. Materials and Methods: We conducted a pre–post analysis of 118 adult patients with CKD stages 1–4 treated with SGLT2is (empagliflozin or dapagliflozin) at the University Clinical Center of Serbia between January 2024 and June 2025. Patients received either agent at 10 mg once daily for 18 months. Hb, ferritin, C-reactive protein (CRP), albumin (Alb), daily proteinuria (Prt), and estimated glomerular filtration rate (eGFR) were assessed at baseline and at 18 months. Ferritin was adjusted for inflammatory and nutritional status using a residualization model incorporating CRP and Alb. Changes between the two time points were analyzed using repeated-measures general linear models (GLMs). Results: In unadjusted analyses, mean Hb increased modestly from 136.5 ± 17.9 g/L at baseline to 138.8 ± 18.9 g/L at follow-up (p = 0.028), while median ferritin decreased from 102.2 µg/L to 89.9 µg/L (p = 0.011). After adjustment for CRP and Alb, ferritin levels remained unchanged (p = 0.752). Repeated-measures analyses showed no significant longitudinal effect of time on Hb or ferritin and no significant interaction between time and SGLT2i type. Baseline eGFR, Prt, sex, and baseline ferritin significantly influenced longitudinal hematologic trajectories. Conclusions: SGLT2i therapy was associated with modest increases in Hb levels over 18 months, while inflammatory status remained stable and no significant reduction in ferritin levels was observed after adjustment for inflammatory and nutritional factors. Longitudinal Hb and ferritin trajectories did not differ significantly between empagliflozin and dapagliflozin, while baseline kidney function, Prt, iron status, and sex significantly influenced hematologic outcomes. Although causal inference is limited by the absence of a control group, these findings suggest a possible favorable effect of SGLT2is on anemia-related parameters in patients with CKD. Full article

LIFE REVIVE aims to restore ecological status and ecosystem services in the Lima and Vouga river basins (NW Iberian Peninsula), where hydromorphological alteration and hydropower-driven flow regulation are major causes of water bodies failing to reach Good Ecological Status under the EU WFD. The project targets key pressures such as longitudinal fragmentation by weirs and dams, artificial flow regimes, degradation of spawning substrates, and the spread of invasive aquatic plants, which strongly affect fish communities, including sea lamprey, salmonids, and other diadromous species. Technically, the project combines barrier removal or eco-adaptation, nature-like fish passes, and spawning-habitat renaturalisation with optimized environmental flow regimes (EFR) downstream of important hydropower systems, explicitly accounting for present and future hydroclimatic scenarios. Multi-scale ecohydrological modelling (species distribution models, habitat suitability models, GLM/GAM approaches) will quantify fish–flow–habitat relationships and support the definition of operational EFR guidelines that balance ecological requirements with hydropower and agricultural constraints through joint work with the main Portuguese hydropower operator, EDP. Impact evaluation is structured around a rigorous BACI monitoring design in intervention and control tributaries, using standard WFD biological indices for fish and aquatic/riparian vegetation, hydromorphological indices (HQA, HMS, RHS), and project-specific Key Performance Indicators for water quality, biodiversity, and habitat. Expected outcomes include the restoration of at least 51 km of rivers towards free-flowing conditions, reduced hydromorphological pressure in more than 20 km of heavily modified river stretches, and measurable increases in the distribution and abundance of fish species and native vegetation. A strong communication and capacity-building programme underpins public engagement, while a decision matrix for barrier prioritization, technical workshops, and pilot replications in additional basins (e.g., Alva, Mouro, Deva, and Tea in Galicia) are designed to maximize transferability, policy uptake, and long-term sustainability of the solutions beyond the project lifetime. Full article

The impact of air pollution on human health has been widely studied in recent decades. Recent findings show that even low levels of air pollution can be harmful to our health, causing disease and early death. However, these studies are very limited in the central region of Türkiye. Therefore, this study focused on the association between the daily variations in air pollutants (PM₁₀, PM_2.5, SO₂, and NO₂) and hospital admissions due to respiratory, cardiovascular, and total (non-accidental) causes in the Sivas province. Daily average concentrations of air pollutants were obtained from two air quality (AQ) monitoring stations, and daily meteorological (air temperature and relative humidity) data were obtained from one meteorological station in Sivas province to determine the effects of air pollution on hospital admissions. It was found to be a significant relationship between air pollution and respiratory hospital admissions in the province. The results of the study showed the relative magnitudes of the risks of cardiovascular diseases and hospital admissions related to air pollutants were as follows: The highest association of each pollutant with cardiovascular diseases was observed for PM₁₀ at lag 4 (ER = 1.74%; 95% CI = 0.95–3.19%), PM_2.5 at lag 2 (ER = 5.12%; 95% CI = 1.39–19.0%), NO₂ at lag 8 (ER = 4.89%; 95% CI = 0.08–288.8%) and SO₂ at lag 5 (ER = 1.21%; 95% CI = 1.10–1.32%). It was seen that short-term exposure to air pollution in Sivas between 2016 and 2019 was positively associated with increasing respiratory hospital admissions. As the first air pollution study to use the generalized linear model (GLM) method in hospital admissions in Sivas, these findings may have implications for local environmental policies and help to combat air pollution. Full article

Background/Objectives: While the descriptive trajectory of COVID-19 is well-documented, there is a methodological gap in quantifying the precise magnitude of risk reduction across multi-year pandemic phases in Brazilian subnational units. This study aimed to fill this gap by applying Generalized Linear Models (GLMs) to quantify the temporal transition of epidemiological risks (Incidence, Mortality, and Case Fatality) in Ceará (2020–2023), using the first year of the pandemic as a statistical baseline. Methods: Ecological time-series study was conducted using official surveillance data. We employed GLMs with Poisson distribution to calculate Rate Ratios (RRs) and 95% Confidence Intervals, allowing for a robust comparative risk modeling between 2020 (reference) and subsequent years (2021–2023). Results: Modeling revealed a significant epidemiological dissociation between transmission and severity. While the risk of incidence remained high through 2022 (RR = 1.42), the mortality risk showed an earlier and more drastic decline, with a 68% reduction as early as 2022 (RR = 0.32) and 99% in 2023 (RR = 0.01). The Case Fatality Rate (CFR) risk decreased consistently from 2021 onwards, reaching its lowest point in 2023 (RR = 0.09; 91% reduction). Conclusions: Between 2020 and 2023, Ceará transitioned to reduced COVID-19 severity. Despite ecological design and data limitations, these findings underscore the importance of resilient health systems and equitable immunization. Full article

Background/Objectives: Multi-strain Limosilactobacillus fermentum supplementation has been reported to promote weight loss outcomes in free-living conditions, but limited evidence exists on these probiotic strains added to an energy-restricted diet and walking program in overweight adults. Methods: In a double-blind, placebo-controlled, parallel-arm randomized trial, overweight adults (35.2 ± 13.2 years old, 167.6 ± 8.6 cm, 79.9 ± 11.8 kg, 28.4 ± 2.7 kg/m² body mass index, 36.1 ± 6.6% body fat) completed a 12-week weight loss program that included a 500 kcal/day energy deficit and walking 10 k steps/d. Participants ingested one daily capsule containing a three-strain probiotic blend (L. fermentum K7-Lb1, L. fermentum K8-Lb1, L. fermentum K11-Lb3; 6 billion CFU/day) (PRO) or maltodextrin placebo (PLA). Assessments were performed at baseline, week 6, and week 12 and included body composition, resting energy expenditure, substrate utilization, peak oxygen uptake, dietary intake, step counts, blood biomarkers, quality of life, and side effects. Data were analyzed using multivariate and univariate repeated-measures general linear models (GLM), with mean changes from baseline presented alongside 95% confidence intervals. Results: All participants significantly reduced body weight, fat mass, body fat percentage, and waist circumference. At 12 weeks, PRO reduced fat mass more than PL (−2680.7 ± 1276.7 g; p = 0.039). In PRO, android and gynoid fat percentage decreased at 6 weeks (p < 0.001; p = 0.008) and 12 weeks (p = 0.004; p < 0.001), respectively. Visceral adipose tissue mass, volume, and area were lower at 6 weeks and trended lower at 12 weeks. In PRO, bone mineral content and bone mineral area decreased at 12 weeks, while bone mineral density paradoxically increased (0.007 ± 0.003 g/cm²; p = 0.024). Conclusions: During a 12-week weight loss program, supplementation of a multi-strain L. fermentum probiotic significantly reduced body fat and central adiposity. Full article

Smart city planning involves a wide range of knowledge domains. However, general intelligent Question Answering systems often fall short when applied to this domain, and the relevant studies are not yet sufficient. To this end, this paper constructs an intelligent QA system that combines a large language model with a domain-specific knowledge graph. Capable of understanding questions accurately and generating professional answers, this system is designed to provide efficient knowledge services for smart city planning by following four steps. First, based on four authoritative planning guidelines, a domain-specific knowledge graph with a four-layer framework is constructed using Neo4j Community Edition 5.26.24. The framework includes top-level goals, knowledge modules, standard terminology and community scenarios. Subsequently, natural language questions are classified and matched with the templates before being converted into structured queries. Finally, the system performs Cypher query language queries and invokes ChatGLM4 to generate professional answers. The knowledge graph contains 100 entity nodes and 44 relations, and its ontology layer defines 28 entity types and 12 relation types. Therefore, the domain knowledge is structured and visualized, and planning professionals can intuitively retrieve diverse planning elements. In addition to its intelligent knowledge query function, this system assists planning professionals in preparing planning schemes and verifying compliance, reducing the time spent on reviewing regulations and comparing clauses, improving the efficiency of scheme preparation, and facilitating the refined implementation of urban renewal projects. It has high application value in smart city planning practices. Its construction approach can also serve as a reference for intelligent knowledge services in other fields. Full article

The present study evaluated the stability of candidate reference genes during adipogenic differentiation of 3T3-L1 cells cultured on different extracellular matrices. The aim was to investigate the effects of matrix composition and differentiation stage on the expression of candidate housekeeping genes and to compare validation strategies in dynamic in vitro models. Eleven candidate reference genes (18S, Actb, B2m, Gapdh, Hmbs, Hprt, Nono, Ppia, Rplp0, Tbp, and Ywhaz) were analyzed by RT-qPCR in 3T3-L1 cells cultured on TC, collagen, gelatin, and Matrigel at Days 7 and 14 of differentiation. Gene stability was assessed using geNorm, NormFinder, RefFinder, comparative ΔCt, BestKeeper, generalized linear model (GLM), linear mixed model (LMM), and correlation analyses with the adipogenic markers Pparg and Fasn. The results demonstrated that the expression of most housekeeping genes was influenced by matrix composition, differentiation stage, or their interaction. Actb and 18S exhibited the strongest condition-dependent variability and pronounced matrix sensitivity. Gapdh and Hprt showed significant correlations with both Pparg and Fasn, while Hmbs correlated with Fasn, suggesting that these reference genes may not be fully independent of adipogenic status. Ppia demonstrated markedly contrasting rankings across analytical approaches, highlighting limitations of single-method stability assessment. The findings confirm that universal housekeeping genes are unlikely to exist across different matrix conditions and differentiation stages. The results highlight the need for multi-level validation strategies and experimentally validated normalization panels to minimize normalization bias and avoid misleading RT-qPCR expression profiles. Functional validation identified B2m and Rplp0 as the most suitable two-gene normalization panel for the experimental model evaluated, whereas Tbp remained a strong complementary reference gene candidate. Full article

Olive, Olea europaea L. (Oleaceae), cultivation is affected by significant yield losses caused by Palpita persimilis Munroe (Lepidoptera: Crambidae), a defoliating pest in South America. Its control currently relies on synthetic pesticides, which have adverse environmental effects. This study investigated native entomopathogenic bacteria isolated from the rhizosphere of olive trees in Tacna, Peru. A total of 36 bacterial isolates were obtained, of which six strains showing more than 70% larval mortality were selected for further evaluation. Morphological and molecular analyses suggested a tentative affiliation of the isolates with bacterial groups related to the genera Lysinibacillus, Paenibacillus, Priestia, and Bacillus. Bioassays demonstrated that larval mortality depended on the bacterial concentration and exposure time. Strains such as Peribacillus sp. UNM achieved 100% larval mortality after 96 h at a concentration of 1 × 10⁹ CFU mL⁻¹. Analysis using a generalized linear model (GLM) with a binomial distribution confirmed that bacterial strain, concentration, and exposure time significantly influenced larval mortality, indicating that mortality responses varied according to bacterial concentration and exposure time. These findings provide preliminary laboratory evidence of entomopathogenic activity associated with native bacterial isolates against P. persimilis and support future investigations aimed at evaluating these isolates under field conditions in olive agroecosystems. Full article

Background: The diagnosis of urinary tract infection (UTI) remains a clinical challenge, with urine culture as the gold standard. In developing countries like Bosnia and Herzegovina, a high prevalence of antimicrobial resistance and frequent empirical treatment pose significant clinical challenges. Automated urine flow cytometry has emerged as a rapid tool to optimize diagnostic processes. Objectives: To determine the correlation of age, gender, and laboratory parameters—such as white blood cell (WBC) count, neutrophil count, and C-reactive protein (CRP)—with both urinary bacterial counts and urine culture results. Methods: This retrospective study analyzed 200 adult patients (≥18 years) with symptoms suggestive of UTI at the University Clinical Center Tuzla. Data on age, gender, WBC, neutrophils, CRP, and urine flow cytometry (Sysmex UF-4000) were collected. Statistical analysis was performed using R software (version 4.5.1), utilizing logistic regression models via the ‘glm’ function to identify independent predictors, with statistical significance set at p < 0.05. Results: The mean age of the population was 68.61 ± 15.19 years. Logistic regression demonstrated that WBC count (OR = 1.06, p = 0.004), neutrophil count (OR = 1.04, p = 0.014), and patient age (OR = 1.03, p = 0.001) were significant independent predictors of UTI. Furthermore, patients with a urinary bacterial count > 1200/μL had 83 times higher odds of a positive urine culture (OR = 83, 95% CI 32.25–200, p < 0.001). Conversely, CRP levels and gender were not significant predictors (p > 0.05). Conclusions: Patient age, WBC, and neutrophil counts are key factors for predicting UTIs. Integrating these parameters with urine flow cytometry bacterial counts can significantly enhance diagnostic accuracy and rapid screening in clinical practice. Full article

This study quantified total biomass stocks in Carrasco (CAR, n = 12), a dense tropical deciduous vegetation type from the Brazilian semi-arid region for which biomass information remains scarce. We also evaluated differences in floristic composition, diversity, structure, and biomass allocation patterns relative to Cerrado sensu stricto (CSS, n = 40). Forest inventories were conducted in southeastern Brazil. Woody biomass was estimated using a regional allometric equation. Roots were sampled in a position adjacent to the plots, and litter was collected at the center of each plot using a frame. Necromass was assessed along a linear transect corresponding to the length of each plot using the line-intersect method. Biomass differences between vegetation types were assessed using generalized linear and mixed-effects models (GLMs and GLMMs). Total biomass reached 45.24 Mg ha⁻¹ in CSS and 59.01 Mg ha⁻¹ in CAR. In CSS, woody biomass predominated (20.47 Mg ha⁻¹; 45%), followed by roots (18.47 Mg ha⁻¹; 41%), litter (5.49 Mg ha⁻¹; 12%), and necromass (0.81 Mg ha⁻¹; 2%). In CAR, roots were the dominant component (32.37 Mg ha⁻¹; 55%), followed by woody biomass (16.57 Mg ha⁻¹; 28%), litter (8.39 Mg ha⁻¹; 14%), and necromass (1.68 Mg ha⁻¹; 3%). CSS and CAR shared only 10% of their species and showed significant differences in total biomass (TB) and belowground biomass (BGB), while aboveground biomass (AGB), aboveground woody biomass (AGWB), litter, and necromass did not differ significantly (α = 0.05). The BGB/AGWB ratio was <1 in CSS and >1 in CAR, resembling global patterns of savanna/shrubland and grassland formations, respectively. Considering the sampling design adopted, despite the higher stem density in CAR, larger individuals in CSS compensated for structural differences, resulting in similar aboveground biomass stocks. Our findings reinforce the floristic and structural distinctiveness of Carrasco and reveal contrasting biomass allocation strategies, with a strong dominance of belowground biomass in CAR. These results demonstrate that aboveground-based assessments can substantially underestimate total biomass in semi-arid transitional vegetation and highlight the need to incorporate non-forest ecosystems into biomass inventories, conservation planning, and climate change mitigation strategies. Full article