Search Results (3,180)

This study investigates the population dynamics and seasonal reproductive patterns of Gambusia holbrooki, an invasive fish threatening biodiversity within arid springs of the Edgbaston Spring complex in Queensland, Australia. Using daily aging techniques, we uncover critical life history traits that inform targeted species management. Our findings reveal marked sex-specific mortality rates, with males exhibiting higher mortality than females, a pattern consistent with findings from Tasmania. Reproductive activity peaks were observed between September and November, but persisted throughout the year, excluding January and April of 2020, likely due to elevated water temperatures during these months. Growth modeling identified the power function as the best fit for describing G. holbrooki growth trajectories. These insights highlight the importance of seasonally informed control strategies to mitigate the ecological impact of this pest species. The study provides essential data to support conservation efforts and guide effective management of invasive fish in fragile arid spring ecosystems. Full article

Tailings remediation alleviates ecosystem degradation and protects species. To conserve terrestrial biodiversity and address sustainability challenges while achieving economic growth, numerous researchers have devoted efforts to monitoring ecological functions and optimizing community structures. This study investigates the microbial characteristics and functional diversity across ecological succession stages of tailings. Selecting three typical restoration stages, including biological crust, moss, and grassland stages, we adopt 16S rRNA and ITS gene amplification, Illumina high-throughput sequencing, spectroscopy, and network correlation analysis to explore the responses of soil multifunctionality index, microbial communities, and carbon metabolism during tailings restoration. The experimental results indicate that the functional diversity index increases with ecological succession and is significantly correlated with the bacterial genera Rubrobacter and Arenimicrobium, whereas no significant correlation is observed with dominant fungi. The network interactions among bacterial communities are gradually strengthened along the succession process. In terms of carbon metabolic functions, the relative abundances of galactose, starch, and sucrose metabolism pathways increase obviously with restoration progression, while inositol phosphate metabolism, peroxisome metabolism, retinol metabolism, glyoxylate and dicarboxylate metabolism, and xenobiotics metabolism exhibit no significant variations. These findings provide novel empirical evidence for explaining microbe-mediated ecological succession in tailing ecosystems and highlight the necessity of multi-perspective analysis for ecological restoration. Policy and practical implications emphasize that the application of specific microorganisms and their interspecific interactions to promote iron tailings ecological restoration should fully consider the spatiotemporal heterogeneity of tailings areas. This study deepens the understanding of differential microbial responses at different tailings restoration stages and provides actionable insights for balancing mining economic development and terrestrial ecosystem conservation. Full article

Geoheritage assessment supports inventory design, geoconservation, geoeducation, public interpretation, and geotourism, yet many methods still merge intrinsic site significance with present-day conditions of access, interpretation, and management. This paper introduces the Geoheritage Evaluation and Classification Alphanumeric System (GECAS), a modular, non-compensatory framework for classifying geosites and geomorphosites through autonomous profiles rather than through a single total score. The revised framework distinguishes a minimum deployable core from standard and full applications, separates descriptive metadata from evaluative axes, and produces purpose-specific outputs for scientific significance, geoeducational suitability, public-facing visit readiness, geotourism use potential, and conservation priority. GECAS also formalises evidence quality, expert- and user-derived channels, degradation-risk gates, and the Geo-Pass communication profile. A structured comparison with established assessment approaches, a step-by-step workflow, time–effort guidance, and a secondary-data demonstrator is provided. The framework is proposed as a scalable methodological grammar that improves transparency, avoids hidden compensation among non-equivalent criteria, and supports future calibration through field trials, inter-rater testing, and comparative applications. Full article

Medium-sized felines play an essential role in ecosystems by contributing to the maintenance of ecological dynamics and the balance of biological communities. However, the available information regarding their biology and ecology is limited compared to that of larger felids. This study documents the presence of four medium-sized feline species in the state of Morelos, Mexico, and characterizes the spatial features associated with the distribution of these species. Between 2022 and 2025, camera traps were deployed in northern Morelos within three Protected Natural Areas. With a total sampling effort of 9641 days, we recorded 87 independent occurrences of medium-sized felines. Records of the bobcat were concentrated at higher altitudes, primarily in pine forests, whereas the number of margay records decreased with increasing altitude. The presence of these felines indicates that suitable habitats for this group persist in northern Morelos. Nonetheless, a significant proportion of these records were located near urban areas and roads, highlighting the necessity for monitoring to assess population status and implement appropriate conservation strategies. Full article

Umbrella species can facilitate efficient biodiversity conservation, as their targeted protection effectively safeguards co-occurring species and entire ecosystems in conservation management. To verify Hainan gibbon (Nomascus hainanus) as an umbrella species for sympatric endangered species, this study evaluated the conservation efficacy of the Hainan four-eyed turtle (Sacalia insulensis) through multidimensional spatiotemporal analysis. By comparing the population data collected using cage-trapping methods from 2005 to 2025, the S. insulensis population in the Bawangling region of the Hainan Tropical Rainforest National Park has exhibited obvious recovery, from no initial records to 25 individuals (mean relative population density: 0.0404 individuals/cage-day). Its growth trajectory is closely linked to the continuous enhancement of conservation efforts for Hainan gibbons, confirming umbrella effects stemming from poaching suppression and habitat restoration. However, when compared with recent surveys in other park regions, significant spatial limitations were revealed that the mean relative population densities at Yinggeling (0.01 individuals/cage-day) and Diaoluoshan (0.0064 individuals/cage-day) were only 25.74% and 15.84%, respectively. Additionally, juveniles constituted only 12% of Bawangling’s population, indicating that while the umbrella strategy delivers meaningful conservation outcomes, supplementary targeted initiatives are still needed to improve efficiency in resolving the species reproductive bottlenecks (e.g., nesting habitat quality). Those findings demonstrate that umbrella species conservation can establish an ecological conservation force field; however, its effectiveness is constrained by unequal resource allocation and species niche differences. Future efforts should overcome the spatial and ecological limitations of single-species umbrella effects by using smart patrol networks, secondary umbrella species mechanisms, and dedicated management plans. Full article

The assessment of the “Do No Significant Harm” (DNSH) principle in European Union (EU)-funded projects currently relies on narrative justification, which generates subjective evaluations, inconsistent results, and high administrative effort. This study aims to develop an operational framework and project-level tool to standardize how environmental impact is measured across multiple sectors and project types. The methodology applies a stepwise, non-compensatory approach, combining typology-based filtering, financial thresholds derived from carbon intensity and sustainability coefficients, checklists, spatial analysis, and quantitative indicators such as the circular economy transition metric. Each environmental objective is evaluated independently, ensuring that compliance cannot be offset by positive performance in other areas. The framework was preliminarily validated using a dataset of 1406 projects implemented in Romania, indicating its potential to distinguish low-risk from high-risk projects, reduce evaluator subjectivity, and improve the proportionality of analytical effort. While the tool is tested on Romanian case studies, its design allows for application across various European funding programmemes. The tool supports early-stage screening, encourages green procurement, and aligns project planning with EU environmental objectives, including climate mitigation, adaptation, water resource protection, pollution prevention, circular economy, and biodiversity conservation. The proposed methodology provides a clear, reproducible, and practical approach, offering evaluators a consistent mechanism for DNSH compliance verification and integrating environmental protection into project design and implementation. Full article

Anthropogenic disturbances and climate warming threaten the rare paleoendemic species Tetracentron sinense. To identify the divers of its latitudinal adaptation, we integrated functional trait differentiation, environmental filtering, and phylogenetic conservatism. We measured 35 functional traits (leaf morphology, nutrient stoichiometry, stomatal traits, whole-plant architecture) across four natural populations spanning the species’ latitudinal range: BMXS (Baima Snow Mountain), DFD (Dafengding), FP (Foping), LGS (Leigong Mountain). Using correlation analysis, principal component analysis, and phylogenetic community metrics, we found that T. sinense dominated all communities. Populations exhibited divergent strategies: DFD expanded leaf area for light capture under high rainfall and shaded conditions; FP increased height and crown width to compete for light; LGS enhanced nutrient-use efficiency under phosphorus limitation; BMXS promoted phosphorus uptake under nitrogen limitation (N/P < 14). Trait variation correlated significantly with elevation, solar radiation, and temperature. PCA explained 90.44% of total variance, and standardized effect size (SES) values for phylogenetic signals range from −2.031 to 1.973; Phylogenetic signals were stronger in co-occurring taxa than in T. sinense. T. sinense populations in BMXS and FP are structured by competitive exclusion, while those in LGS and DFD by habitat filtering. We conclude that T. sinense achieves latitudinal adaptation by overcoming phylogenetic niche conservatism through phenotypic plasticity. While leaf economic traits remain evolutionarily conserved and niches in glacial refugium are relatively stable, populations adjust trait syndromes via metabolic shifts and structural trade-offs in response to heterogeneous environmental filters. Identifying these adaptive strategies can guide seed sourcing for restoration efforts under climate change. Full article

The Iranian Ground Jay (Podoces pleskei) is the endemic bird species inhabiting the deserts and steppes of Iran, a region experiencing severe ecological disturbances like habitat loss and fragmentation of preferred habitat. Despite its remarkable adaptation to arid environments, Iranian Ground Jay exhibits strong habitat specialization, making it both ecologically resilient and vulnerable—an intriguing case for evaluating how the species responds to climate-driven habitat shifts. The present study aims to assess the current and future distribution of Iranian Ground Jay under climatic change using MaxEnt incorporating presence records and bioclimatic variables. We modeled the species’ potential distribution under two climate models (HadGEM3-GC31-LL and MIROC6) for 2070. Then, using the predicted habitats, we estimated the coverage of protected areas in Iran. Among climatic variables, we predicted that the annual precipitation (bio12), precipitation of driest quarter (bio17), and temperature seasonality (bio4) significantly influenced the distribution of Iranian Ground Jays. The highly suitable distributions of the species are concentrated in Eastern, Southeastern, and Central Iran. Our results indicated that a vast range of potential distribution is located outside protected areas, emphasizing the importance of conservation efforts. Our investigation shed lighted the consequences of global warming, where the highly suitable habitat is expected to shift under predicted climatic changes, resulting in a reduction in suitable habitat extent projected for the future. Based on these insights, it becomes imperative to reassess current conservation policy and devise an action plan specifically tailored for the Iranian Ground Jay, particularly emphasizing the protection of its core habitats within anthropogenically altered landscapes and non-protected regions. Full article

The 2008 financial crisis pushed policymakers around the world to rethink how banks could manage risk, leading to the implementation of stricter regulations, including capital buffers and bail-in mechanisms, aimed at making the financial system more resilient. This study examines how three key regulations under Basel III, namely, the Countercyclical Capital Buffer (CCyB), the Capital Conservation Buffer (CCB), and the Capital Surcharge (CS), shape lending patterns in Indonesian banks. The effectiveness of the bail-in policy in helping banks strengthen their capital base is also examined. This study uses difference-in-differences analysis on panel data from 97 banks between 2010 and 2024 to examine the impact of stricter capital regulations on banks’ ability to channel credit to the public and business sectors. Basel III aims to strengthen the resilience of banks; however, this policy could impact credit access and banking stability in Indonesia. This study found a positive impact on LDR of large banks after the treatment, which indicates the banks’ efforts to use the funds collected through credit distribution. This study empirically examines the impact of capital buffer regulation and the bail-in instrument in Indonesia as an emerging-market country with a segmented banking sector and banks’ classification by ownership and core capital value. Full article

This study evaluates ASReview, an open-source machine learning application for study selection in systematic literature reviews, using data from a review of whether screening for sexually transmitted infections reduces the incidence of pelvic inflammatory disease. A systematic literature review was conducted in accordance with the PRISMA guidelines, and manual screening produced a fully labeled dataset that served as the reference standard. ASReview was configured with four machine learning classifiers (Naïve Bayes, Random Forest, Support Vector Machines, and Logistic Regression) and two feature extraction methods (TF-IDF and Doc2Vec). Simulation experiments assessed screening efficiency under sampling-based and heuristic stopping rules. The systematic review suggested that annual screening for sexually transmitted infections may reduce the incidence of pelvic inflammatory disease by up to 40% compared with routine practice, although the evidence base was limited. In the simulation experiments, Naïve Bayes with TF-IDF achieved the highest recall and screening efficiency, particularly in datasets with a low prevalence of relevant records. Conservative stopping rules increased the likelihood of complete retrieval but required greater screening effort. Overall, these findings highlight the limited and heterogeneous evidence on sexually transmitted infection screening for pelvic inflammatory disease prevention and show that ASReview may improve the efficiency of study selection when evaluated within a real systematic review workflow. Full article

The increasing integration of renewable energy introduces uncertainty in microgrid operation, making effective energy management more challenging. Rolling-horizon optimization is used to address this challenge by enabling periodic decision updates; however, most existing approaches rely on fixed optimization horizons and predetermined update frequencies. When prediction accuracy decay (PAD) is considered in adaptive rolling-horizon approaches, it is represented using a fixed decay value, not an online indicator that compares forecasted and actual renewable generation during operation. This leads to suboptimal re-optimization timing, unnecessary computational effort, excessive battery switching, or delayed corrective actions. To address these limitations, this paper proposes a PAD-driven adaptive rolling horizon (ARH) approach, in which re-optimization is triggered using an online PAD indicator computed from the percentage deviation between forecasted and realized renewable generation data. Re-optimization is activated when the PAD indicator exceeds a predefined threshold, enabling adaptive scheduling updates according to real-time forecasting degradation. The problem is formulated as a robust mixed-integer linear programming (MILP) model of a high renewable penetration microgrid, including battery degradation and switching penalties. The energy self-sufficiency ratio (SSR) is used as a key sustainability performance indicator to assess the extent to which local renewable generation and storage satisfy microgrid demand. The proposed approach is first compared with a fixed rolling-horizon approach using a fixed re-optimization interval of 1 h, where the results show a profit improvement of 10.5%. A sensitivity analysis tested the proposed approach under bounded renewable forecast uncertainty levels up to ±15 and different battery capacities. The results indicate that performance is strongly influenced by forecast accuracy and battery capacity, with higher economic gains under low uncertainty and more conservative operation under high uncertainty. Full article

The 1st International Online Conference on Biology (IOCBI 2026), held from 10 to 12 February 2026, brought together researchers from around the world to share and discuss recent advances across a wide spectrum of biological disciplines. Organized under the auspices of the journal Biology (MDPI), the conference provided an open, interactive forum for scientific exchange in a fully online, accessible format. The scientific program encompassed key areas of contemporary biology, including evolutionary biology, ecology, conservation biology, infection biology, zoology, marine biology, and plant sciences. Through keynote lectures, invited talks, oral communications, and flash presentations, the conference highlighted both fundamental questions and emerging challenges that define current biological research. Beyond the diversity of topics, IOCBI 2026 underscored the increasing need for integrative approaches in biology. The contributions collected in this volume reflect a shared effort to connect processes across different levels of biological organization—from molecular systems to ecosystems—revealing life as a complex and evolving network of interactions. This perspective is essential not only for advancing fundamental knowledge but also for addressing pressing global challenges in health, biodiversity, and environmental change. All accepted abstracts included in this volume of Biology and Life Sciences Forum provide a citable record of the work presented at the conference and illustrate current trends and future directions in the biological sciences. We sincerely thank all authors, speakers, reviewers, and organizers for their valuable contributions, which made IOCBI 2026 a successful and stimulating scientific event. Full article

The Houbara Bustard (Chlamydotis macqueenii) is a vulnerable species found in arid and semi-desert regions of the Middle East and Central Asia. In recent decades, Houbara populations have significantly declined due to overhunting, habitat loss, and commercial development. As a result, the International Union for Conservation of Nature (IUCN) has classified this species as Vulnerable. This review examines global conservation efforts and breeding management strategies for the Asian Houbara Bustard, with particular focus on captive breeding programs established in Saudi Arabia and the United Arab Emirates. The study evaluates key reproductive technologies, including artificial insemination and other assisted breeding techniques, and examines the genetic and behavioral risks associated with captive breeding. Findings from the reviewed studies indicate that, while captive breeding programs have achieved notable production goals, they also present critical challenges for conservation. Effective long-term conservation therefore requires integrating reproductive technologies with habitat protection, careful management of genetic diversity, and the establishment of monitoring systems to ensure sustainable population recovery. Full article

This study provides the first updated checklist of Moroccan freshwater molluscs, synthesizing faunistic knowledge accumulated between 1795 and 2026. The dataset was primarily compiled from specialized literature, complemented by the authors’ expertise and recent field investigations. Taxonomic classifications at the family, genus, and species levels were revised in accordance with current systematic interpretations. In total, 106 freshwater molluscan species, belonging to 55 genera and 14 families, were documented. Chorological analysis reveals a clear dominance of Palearctic elements, particularly of Mediterranean affinity, alongside a high proportion of strictly endemic Moroccan taxa. Most of these endemics are associated with springs (crenobionts) and subterranean habitats (stygobionts), emphasizing the role of these environments as key centres of micro-endemism and diversification. A comprehensive database comprising 838 occurrence records was assembled, including GPS coordinates and sampling dates. The analysis identifies biodiversity hotspots mainly concentrated in the Mediterranean part of Morocco, particularly within the Middle Atlas Mountains, followed by the northeastern regions, where the highest species richness and citation rates were recorded. Despite this progress, significant gaps remain in the knowledge of Moroccan freshwater molluscs. Several regions still require further exploration, while ongoing threats—including pollution, habitat degradation driven by anthropogenic activities, global environmental change, and biological invasions—pose significant challenges. Addressing these gaps calls for intensified research efforts, including comprehensive field surveys, integrative taxonomic and molecular approaches, and long-term ecological monitoring. Overall, this study represents a significant step toward advancing the knowledge and conservation of freshwater molluscan diversity in Morocco. Full article

Fungal β-1,3-glucans are structurally conserved polysaccharide components of the fungal cell wall that exhibit potent immunomodulatory activity. These molecules are recognized by pattern recognition receptors, Toll-like receptors, complement receptor 3, lactosylceramide, scavenger receptors, and EphA2. Binding of β-1,3-glucans through these receptors triggers coordinated innate and adaptive immune responses such as cytokine production, phagocytosis, and trained immunity. In addition to receptor-mediated immune activation, dietary β-1,3-glucans function as fermentable prebiotic fibers that modulate gut microbiota composition, increase short-chain fatty acid production, and strengthen epithelial barrier integrity. These combined immunological and microbiome-mediated effects position β-1,3-glucans as key regulators of gut homeostasis. Preclinical and emerging clinical evidence supports broad therapeutic potential across multiple disease domains, including inflammatory bowel disease, metabolic disorders, respiratory infections, and cancer. In oncology, β-1,3-glucans enhance anti-tumor immunity, improve responses to monoclonal antibodies and chemotherapy, and serve as promising adjuvants in vaccine-based strategies. Additionally, β-1,3-glucan is widely used as a biomarker for invasive fungal infections and represents a validated target of antifungal therapies such as echinocandins. Despite these advances, clinical translation remains limited by heterogeneity in glucan source, structure, and formulation, as well as a lack of appropriately powered, standardized human clinical trials. Future efforts should focus on clarifying mechanisms of action, as well as rigorous clinical evaluation, to fully define the therapeutic utility of fungal β-1,3-glucans. Full article