Isotrema jinquanii, a new species of Aristolochiaceae from limestone areas in Guangxi, China is described and illustrated now. This new species is most similar to I. sinoburmanicum in the shape of perianth. The morphological differences from the latter by the stem densely golden-tomentose at young twigs and densely brown-tomentose when aged, the petiole 1.5–3.1 cm long, densely golden (brown)-tomentose, the leaf blade 5.2–10.8 × 2.3–4.4 cm, densely golden (brown)-tomentose abaxially, the bracteole triangular, ca. 1.5 × 1 mm, the perianth outside densely brown-villous, the throat constricted, densely warty inside.

A document by Chuanjing Hou. Click on the document to view its contents.

This study aims to comprehensively analyze the phosphatidylinositol-specific phospholipase C (PI-PLC) gene family in Leishmania infantum and Leishmania major genomes. By elucidating the roles of PI-PLC enzymes in parasite biology and their potential as therapeutic targets, the research contributes to understanding molecular mechanisms underlying parasite proliferation and pathogenesis. Genomic screening, gene structure analysis, phylogenetics, chromosomal distribution, and expression profiling of PI-PLC genes in L. infantum and L. major were conducted. RNA-seq data from susceptible and resistant L. infantum strains to antimony treatment were analyzed to assess gene expression patterns. Molecular docking and molecular dynamics simulations explored Evodone’s interaction within the active sites of proteins 2B4W and 4TYZ. A total of 22 PI-PLC genes were identified in both L. infantum and L. major genomes, characterized by conserved domains and biochemical properties. Phylogenetic analysis revealed evolutionary relationships and clustering patterns of these genes. Chromosomal distribution and expression profiling provided insights into their functional diversity and potential involvement in drug resistance mechanisms. This study highlights the significant roles of PI-PLC enzymes in Leishmania biology and their potential as targets for novel therapeutic interventions. Understanding their involvement in parasite pathogenesis and drug resistance mechanisms could pave the way for developing effective treatments against leishmaniasis.

Power decreases, or desynchronization, of sensorimotor alpha and beta oscillations (i.e., alpha and beta ERD) have long been considered as indices of sensorimotor control in overt speech production. However, their specific functional roles are not well understood. Hence, we first conducted a systematic review to investigate how these two oscillations are modulated by speech motor tasks in typically fluent speakers (TFS) and in persons who stutter (PWS). Eleven EEG/MEG papers with source localization were included in our systematic review. The results revealed consistent alpha and beta ERD in the sensorimotor cortex of TFS and PWS. Furthermore, the results suggested that sensorimotor alpha and beta ERD may be functionally dissociable, with alpha related to (somato-)sensory feedback processing during articulation and beta related to motor processes throughout planning and articulation. To (partly) test this hypothesis of a potential functional dissociation between alpha and beta ERD, we then analyzed existing intracranial electroencephalography (iEEG) data from the primary somatosensory cortex (S1) of picture naming. We found moderate evidence for alpha, but not beta, ERD’s sensitivity to speech movements in S1, lending supporting evidence for the functional dissociation hypothesis identified by the systematic review.

Grapevine Trunk Diseases (GTDs) are among the most destructive diseases in viticulture due to global climate change. Some causal agents like Neofusicoccum parvum can be latent endophytic and become pathogenic under abiotic stress. Microtubules (MTs) have been found to play a role in mediating the pathogen-related signaling in grapevine. In this study, a novel transcription factor VrWRKY22 was identified and cloned from the native American grapevine Vitis rupestris. Leaves of the table grape variety ‘Kyoho’ ( V. vinifera × V. labrusca L.) overexpressing VrWRKY22 showed less necroses after N. parvum Bt‐67 inoculation and activated signaling pathways. VrWRKY22 was phosphorylated by VrMPK3 and then bound to the TTGACC motif in the promoter of VrKIN10C, which was confirmed by Y2H and Y1H assays. Since VrKIN10C is one of the important kinesin-like proteins associated with microtubules, a grapevine MT marker line overexpressing VrWRKY22 was generated to test the responses of grapevine cells to N. parvum Bt‐67. An increased number of prompt movement proteins can be traced within the peri-nuclear MTs and along the cortical MTs. The skewness and thickness of both central and cortical MTs were significantly increased. Moreover, a prominent (resulting from both the number and the rate) accumulation of speckles appeared in the nucleus and cortical MTs. A significant reduction in cell mortality and a stronger antioxidant capacity were detected. This study demonstrates that VrWRKY22 plays positive roles during N. parvum Bt‐67 invasion by rapidly increasing the concentration and dynamics of MTs in the peri-nuclear and cortical regions via VrKIN10, and will facilitate the interpretation of the results of further GTD mitigation studies.

Determining when and where the next big earthquake will occur is a fundamental challenge in earthquake forecasting. Although it is reasonable to assume that the next major earthquake will occur in regions where stress has been increased by previous events, the most common and reliable earthquake forecasting models assume that the magnitude of next earthquakes is independent from what happen before and, implicitly, from the stress state. In this study, we investigate the correlation between stress distribution and the occurrence of large earthquakes using a realistic physical model. Our findings reveal that the next big earthquake is more likely to occur on the periphery of previous large earthquakes, where stress has accumulated but not yet been relaxed. Additionally, we explore how stress redistribution influences the magnitude distribution of aftershocks. These results can inform the introduction of correlations between large earthquakes in existing seismic forecasting models, potentially enhancing their accuracy and reliability.

Typhoon Saola’s (2023) anti-clockwise loop track was monitored by six spaceborne synthetic aperture radar (SAR) images, offering a unique opportunity to investigate the physical factor known as steering flow, a widely accepted concept for studying tropical cyclone (TC) movement and storm surges. Despite its importance, direct observations of steering flows are limited. To address the complex movements observed during the loop track, we propose a novel method to decompose the SAR-derived high-resolution surface wind field into: 1) symmetric rotational winds, 2) general steering flow across three consecutive SAR cases within ~24 hours, and 3) the remaining steering flow. Our analysis reveals that the newly determined remaining steering flows from north effectively explain the loop track associated with two general steering flows, identified as the western North Pacific summer monsoon (WNPSM) from southeast and Indian summer monsoon (ISM) from southwest.

There has been a rapid increase in the interest in sustainable smart cities owing to the surge in the deployment of Information and Communications Technology (ICT). The notion of sustainable and smart systems refers to the use of intellectual communication technologies to upgrade the living standards in order to satisfy present and future needs. Internet of Things (IoT) is broadly considered as a vital element of the upcoming generation and has attracted notable attention over the past few years in the transformation of sustainable cities. IoT comprises of innumerable intellectual as well as communicating devices connected through various diverse networks equipped with communication technologies such as ZigBee, WSN (Wireless Sensor Networks), RFID, GSM, Wi-Fi, etc. that generates tremendous amount of data over a broad variety of sustainable smart systems and applications. Leveraging such data for Big Data analytics assists in revealing concealed patterns, facilitating greater intelligence, smart decision-making and assessing the sustainable smart systems in real-time and is an important process that epitomizes sustainable systems as a worthy realm for technology. In this paper, we survey the existing literature on the integration of environmentally sustainable and socially resilient cities. We focus on providing insights on the use of state-of-the-art Machine Learning mechanisms in context of the sustainable smart city resilient systems. A thorough discussion of various Deep Learning algorithms and frameworks which provide embedded intelligence for sustainable smart applications such as smart home, smart city, healthcare, industry, transportation, agriculture, etc. has been discussed. We then shed light on various Big Data Analytics techniques for mining the useful things along with potential of leveraging advanced DL techniques and why it is considered a favourable approach to accomplish analytics in sustainable systems. A comprehensive study of various security attacks in sustainable smart city applications using 5G communication technology has also been provided. In the end, we discuss set of challenges and potential future directions for research that could serve as a foundation to encourage research and analytical discussions to promote the development of sustainable and smart resilient systems for environment.

Extracting water from discrete xylem and soil samples and continuous (long-term) monitoring of water vapor across the soil-plant-atmosphere continuum remains challenging and under a large debate. Here, we present a detailed one-year study in the Fort Worth Botanic Garden (north-central Texas) to evaluate the analytical robustness of the centrifugation extraction method and understand water sourcing from three common urban tree species (Elderberry, Sambucus canadensis; Cherry Laurel, Prunus caroliniana; and Boxelder Maple, Acer negundo). Xylem (N=110) isotope ratios (δ 18O and δ 2H) are compared to local precipitation (N=498), throughfall (N=33), and soil water (N=105) at different depths (0-38 cm). Complementary soil water samples were obtained from cup suction lysimeters (N=42) (0-38 cm). Soil and xylem water extraction volumes ranged from 100 µL to 7.5 mL in plant samples and from 100 µL to 10.5 mL in soil samples. Extraction success rates were 68.8% and 75.2% for xylem and soil samples, respectively. The minimum sample total water content for effective extractions was determined as 10.6% (soil) and 17.8% (xylem). Xylem mean narrowband and broadband (proxy for organic contamination) were 0.23±0.40 (-) and 1.00±0.01 (-), respectively. These values agree with mean narrowband and broadband metrics from throughfall and soils, which highlight the non-invasive nature of centrifugated extractions. Annual mean soil δ 18O compositions (-3.6±1.7‰) corresponded with the throughfall input (-3.6±2.4‰). Xylem δ 18O compositions exhibited a strong temporal enrichment trend at the end of the winter, summer, and fall seasons. Mean spring xylem δ 18O (-2.85‰) was less variable and close to soil mean compositions (-2.82‰). For this season, Bayesian mixing analysis showed source water contributions from distinct soil depths: 0 cm to 12.7 cm for Boxelder Maple, 12.7 cm to 25.4 cm for Cherry Laurel, and 12.7 cm to 38.1 cm for Elderberry. Our results offer a standardized and effective protocol for centrifugation extractions and reveal plant water uptake preferences in a highly altered urban green space during an unprecedented warm year.

Background: Respiratory syncytial virus (RSV) is an important cause of bronchiolitis and pneumonia in children globally. This study aimed to incorporate new data to update estimates of RSV burden in children through 5 years of age in Western Pacific and Southeast Asia Regions. Methods: A systematic review and meta-analysis was conducted to examine the proportion of RSV among cases of respiratory tract infection (RTI) in children in Western Pacific and Southeast Asia Regions using random effects models. Studies were eligible if they met the following inclusion criteria: (1) observational studies such as cohort and cross-sectional studies; (2) studies on humans; (3) studies on patients with respiratory tract infection (RTI) or influenza-like illness (ILI); (4) studies reporting incidence or proportion of RSV infection among respiratory related illness; and (5) studies on children aged 5 years or less. Findings: A total of 4,403 studies were identified from an initial search. After screening titles, abstracts, and full-text review, a total of 173 studies that met predefined eligibility criteria were included in the analysis. The overall proportion of RSV infections among all ARTIs was 18.7% (95% CI: 16.0-21.5%), while the proportion of RSV infections among LRTIs was 28.7% (95% CI: 2.6-30.3) in children in Western Pacific and Southeast Asia Regions between 1970 and 2021. The proportion trend increased from 10.6% (95% CI: 2.90-22.2%) in the 1970s to 26.8% (95% CI: 22.0-31.9%) in the 1980s and 33.3% (95% CI :14.7-55.3%) in the 1990s. It then decreased to 25.0% (95% CI 22.8-27.3%) in the 2000s and 19.7% (95% CI 17.3-22.2%) in the 2010s. By country, Myanmar (50.0%; 95% CI, 47.5-52.4%) and New Zealand (45.3%; 95% CI, 37.2-56.4%) had the highest proportion during the overall time period, followed by Bhutan (45.2%; 95% CI, 36.4-54.3%), Lao PDR (41.0%; 95% CI, 36.2-46.0%), and Vietnam (36.0%; 95% CI, 19.3-53.6%). Interpretation: Substantial RSV-associated disease burden occurs in children in Western Pacific and Southeast Asia Regions. Our findings provide new and important evidence of the need for RSV prevention in Western Pacific and Southeast Asia countries. They could inform future preventive policy.

Robustness remains a critical challenge in machine learning systems, where unexpected or malformed inputs can lead to unpredictable behavior and significant failures. The novel approach of token-level fuzz testing addresses this issue through systematically injecting perturbations into token inputs and analyzing the model's response. By focusing on how slight variations in tokens affect coherence, accuracy, and computational efficiency, the testing framework provides an in-depth evaluation of model vulnerabilities. The methodology applied to Llama revealed significant fragility in the model's token handling, particularly when exposed to non-standard inputs such as special characters or typographical errors. Analysis showed a clear pattern of cascading errors from minor perturbations, suggesting the need for enhanced token embeddings and pre-processing mechanisms. The comprehensive testing framework presented here offers a scalable solution to identify token-level weaknesses in language models, contributing valuable insights to the field of model robustness and reliability.

Sulav Paudel1*, Guihermino Soares2, Abel Ximenes2, Sean D.G Marshall1, Nicola K. Richards1, Trevor A. Jackson1

Understanding how 3D habitat structure drives biodiversity patterns is key to predicting how habitat alteration and loss will affect species and community-level patterns in the future. To date, few studies have contrasted the effects of three-dimensional (3D) habitat composition with those of 3D habitat configuration on biodiversity, with existing investigations often limited to measures of taxonomic diversity (i.e., species richness). Here, we examined the influence of Light Detecting and Ranging (LiDAR)-derived 3D habitat structure–both its composition and configuration–on multiple facets of bird diversity. Specifically, we used data from the National Ecological Observatory Network (NEON) to test the associations between eleven measures of 3D habitat structure and avian species richness, functional and trait diversity, and phylogenetic diversity. We found that 3D habitat structure was the most consistent predictor of avian functional and trait diversity, with little to no effect on species richness or phylogenetic diversity. Functional diversity and individual trait characteristics were strongly associated with both 3D habitat composition and configuration, but the magnitude and the direction of the effects varied across the canopy, subcanopy, midstory, and understory vertical strata. Our findings suggest that 3D habitat structure influences avian diversity through its effects on traits. By examining the effects of multiple aspects of habitat structure on multiple facets of avian diversity, we provide a broader framework for future investigations on habitat structure.

Abstract Aim Goldenseal (Hydrastis canadensis L.) is a perennial herbaceous plant native to eastern North America. Commercial harvesting for the medicinal plant trade and habitat loss have led to international conservation concerns. This study aimed to gain an understanding of habitat predilections for the purpose of guiding in situ conservation efforts. Location This study was conducted in Pennsylvania, within natural range of the species in the northeastern U.S. The state’s variation in geology and biogeographic location an opportunity to examine the influences of edaphic, topographic, and climatic factors on goldenseal habitat suitability here. Methods GIS-based Maximum Entropy (Maxent) modeling using known occurrence points (n=51) was combined with field plot data (n=28) to identify potential factors governing goldenseal’s distribution in PA and identify vegetative indicators of supportive habitat. Results Bedrock type and winter temperature were the best predictors of habitat suitability. Suitable bedrock types were base-rich; a trait confirmed in the field by soil test results showing high calcium and pH levels. However, the influence of bedrock is complicated by overlapping land use legacy. Suitability increased with average winter temperature, peaking at 1.0°C toward upper end of winter temperatures in PA. Community analysis identified 159 woody and herbaceous associates, including indicators of the following supportive rich mesic forest types: “Tuliptree-Beech-Maple,” “Red Oak-Mixed hardwood,” and “Central Appalachian Rich Cove”. Main Conclusions Model and field results can be used in tandem to assess site suitability, which was found to be greatest within forestlands with slightly acidic to neutral loamy soils underlain by base-rich bedrock types on moist, lower slope positions. Vegetative “indicator” species of these rich-mesic forests including Liriodendron tulipifera, Acer saccharum, Lindera benzoin, Arisaema triphyllum, and Botrypus virginianus appeared to be useful field indicators of supportive habitat for in situ conservation efforts.

Our understanding of sexual selection is advancing with new technologies that tag individuals or their sperm, revealing how females use post-copulatory processes to discriminate between competing mates. Many tagging methods have been devised primarily for model insect organisms like Drosophila or Gryllidae. Developing such novel methods, however, is expensive and requires intensive investment. In this experiment, we trial the use of Rhodamine B and Rhodamine 110 in a small arachnid, the bulb mite Rhizoglyphus echinopus, for pre and post copulatory observations as it is a relatively inexpensive and simple way to tag individuals and their ejaculate proteins. First, we tested whether Rhodamine B and Rhodamine 110 applied to food can be used as a tagging method to track and distinguish between individuals. Second, we explored whether Rhodamine applied in this way can be used to track sperm transfer. We found that both tagging probes worked well in tagging individuals and that we were able to distinguish between individuals using both LED and fluorescent microscopy. We also found that Rhodamine degraded rapidly in the animals, likely due to their fast metabolism. Due to the rapid degradation, we observed variable results in the sperm transfer trials. We suggest multiple uses for Rhodamine and highlight other invertebrates where this method may come into use for the study of sexual selection.

Background Necroptosis could be a trigger and amplifier of anti-tumor immunity in cancer therapy. LncRNAs are vital in controlling immune system gene expression. We designed to establish a NRlncRNA signature for evaluation and prognosis prediction in HNSCC, ultimately providing a new perspective for clinical application. Materials and methods We acquired RNA-seq and clinical data for HNSCC and 67 NRGs. Subsequently, diverse analytical methods were utilized to discern predictive NRlncRNAs, calculate the risk score, and construct a meticulous risk evaluation model. Furthermore, the predictive capability of the risk model was confirmed through survival analysis, ROC curves, PCA, DCA, C-index, and nomograms. We endeavored to discern disparities among distinct cohorts concerning clinical characteristics, the infiltration of immune cells, the sensitivity to pharmaceutical agents, as well as molecules associated with immune response. Results A risk signature for 12 NRlncRNAs was developed, and the signature had high sensitivity and specificity in predicting survival rates. The established model exhibited a strong association with both survival outcomes and clinical features. Notably, the low-risk group demonstrated a substantially elevated survival probability and displayed a significant positive correlation with diverse immune cell infiltrations. Lastly, we selected different clinical drug regimens based on the different risk groups. Conclusion A prognostic model of NRlncRNAs has been developed for HNSCC that enables the estimation of the TME and the response to cancer immunotherapy. The model also has the potential to predict the prognosis, which may pave the way for novel clinical applications.

Non-steroidal anti-inflammatory drugs (NSAIDs), especially acetyl salicylic acid (ASA), associate with reduced breast cancer (BCa) mortality. COX-2 overexpression is tied to worse BCa prognosis, but COX-2 inhibitors (coxibs) have not been shown to have survival advantage. However, the evidence is conflicting and limited. We examined the association between BCa mortality and NSAID use in a Finnish population-based cohort. The study cohort, 73,170 females diagnosed with BCa during 1995-2013 was identified from The Finnish Cancer Registry. NSAID purchases during 1995-2015, the time and causes of death, mammographic screening participation and tumor hormone receptor status were obtained from national registries. Separate exposure variables were created for purchases of all NSAIDs combined, ASA and coxibs . Multivariable-adjusted Cox proportional hazard regression was used to compare BCa-specific and overall survival by the use of NSAIDs, ASA and coxibs compared to non-users. Pre-diagnostic use of any NSAIDs (HR 0.78, 95% CI 0.75-0.81) and coxibs (HR 0.76, 95% CI 0.71-0.81), but not ASA were associated with lowered BCa mortality. Conversely post-diagnostic use of any NSAIDs was associated with increased BCa mortality (HR 1.27, 95% CI 1.22-1.33), while ASA use (HR 0.84, 95% CI 0.73-0.97) showed dose-dependent risk reduction. Post-diagnostic use of ASA associated with reduced BCa-specific mortality, distinguishing ASA from other NSAIDs. Clinical trials should be performed to confirm this association and to determine ideal post-diagnostic ASA dose, frequency, and duration for improving BCa-specific survival. The significance of pre-diagnostic NSAID use as a prognostic factor in BCa warrants further investigation.

This paper introduces BERTGuard, a text classification framework that enhances the resilience of BERT models against adversarial attacks through feature trimming and sub-sampling within an adversarial training framework. Our approach outperforms the baseline BERT models against various augmented white-box adversarial attacks. Its resiliency is demonstrated using the benchmark IMDB movie review dataset.

A new type of open rib bridge deck with ”L ribs-apple holes in the diaphragm” has been proposed(L-OSD). A full-scale model fatigue test was conducted on the details of rib-to-deck connection between the diaphragms, and compared with the double-sided welded U-rib deck(U-OSD). A total of 4.5 million loading cycles were carried out. The weld toe of the inner side of the longitudinal rib of the U-OSD produced fatigue cracks firstly. The equivalent stress amplitude is 74 MPa, and the fatigue life is 0.04 billion cycles. The details of the rib-to-deck connection of the L-OSD are uncracked, and the fatigue life is more than 0.12 billion cycles. Fatigue cracks were produced in the tensile zone of the bottom of the deck under the loading points of the two models and the negative bending moment zone of the U-OSD. The equivalent stress amplitude exceeds 140 MPa, and the fatigue life outweighs 0.1 billion cycles. The test results show that the fatigue resisitance of L-OSD is better than U-OSD.

National Healthcare Security Administration (NHSA) of China routinely evaluates and modifies insurance coverage rates for drugs and services within the Basic Medical Insurance (BMI) system to balance patients essential support and healthcare budget. This study examines how insurance impacts patient behaviors and physicians’ decision-making. Using outpatient data from one of the largest regional hospitals in Liaoning, China, we employ logistic regression to examine the impacts of insurance coverage rates on unclaimed prescription rates, an indicator of medication nonadherence. Additionally, we apply multivariate regression to assess how physicians adapt their prescribing practices in response to insurance coverage rate adjustments. Our findings indicate that drugs are less likely to be unclaimed compared to services, as patients often prioritize symptom-relief medications over diagnostic tests when their insurance allowances are about to be exhausted. Widely used drugs and services are less likely to be unclaimed. However, higher total prescription charges increase the likelihood of unclaimed prescriptions, except for rural patients with service prescriptions. The study demonstrates variations in unclaimed prescription rates based on patients’ characteristics and prescription features. The effects of changes in insurance coverage rates on prescription volumes vary depending on factors such as the medical center’s location (urban or rural), drug category, and patient insurance status, highlighting the necessity for context-specific insurance policies. These findings suggest that NHSA should consider tailored insurance strategies to best utilize the healthcare budget - increasing coverage rates alone may not address all patient needs effectively.

Background and Objective: The purpose of the study is to determine the degree to which community-wide activities in the Pomona Youth and Family Master Plan (PYFMP) might have influenced youth ATOD use changes in Pomona and in comparison to US jurisdictions. M ethods: An integrated framework encompassing social cognitive theory and the risk and protective factor approach guides the study. Same group and independent group comparisons within and across school grades, intervention years and jurisdictions were conducted in a quasi-experimental design. The baseline (2005-06) and follow up (2009-10) samples were as follows: Pomona sample was 3,967(2005-06) and 2,693(2009-10);and for US, the samples were 122,243(2005-06) and 101,141(2009-10). Results: Within the five years under study, overall youth ATOD use trends in Pomona, particularly in comparison with US trends, showed a slow but clear shift. Discussion and Conclusion: The findings suggest that community-wide interventions in the PYFMP might have shifted individual ATOD use among Pomona Youth. The slow pace of change calls for studies to examine the following factors which influence youth ATOD use that were not investigated in this study: specific community-level factors that might have influenced individual youth ATOD use; the effect underlying socio-economic and resource factors on youth ATOD use and the role of micro level factors and interventions.

The relationship between taxonomic and phylogenetic diversity remains underexplored. Our goal was to determine whether a causal link exists between species richness and phylogenetic diversity. We wanted to evaluate whether species richness determines the phylogenetic diversity in realized assemblages (taxonomic determinant hypothesis) or phylogenetic diversity determines the species richness (phylogenetic determinant hypothesis). We also hypothesize that this causal framework could shift in different bioclimatic regions. We sampled over 1700 plant assemblages in grasslands and shrublands across three bioclimatic regions in Navarra, Spain. Using non-recursive structural equation modelling, we found that species richness influences phylogenetic diversity, and that this causal relationship remains consistently negative and is unaffected by climate differences among regions. Specifically, greater plant richness leads to increased phylogenetic convergence, resulting in reduced phylogenetic diversity. This means that the incorporation of new species into assemblages involves adding closely related species in phylogenetic terms, regardless of the bioclimatic region.

A document by Tyson Wepprich. Click on the document to view its contents.

Fragmentation of landscapes is a common impairment of habitats highlighting the need to increase connectivity to support wildlife populations. This study focuses on the Eastern green lizard (Lacerta viridis) and investigates the effectiveness of a species-specific corridor network in a vineyard landscape. Using a non-invasive photographic capture-recapture approach, individual movements were tracked to assess sex-specific patterns and distances covered in adult lizards. The study also provided insight into population parameters such as sex ratio and spatial distribution of the resident green lizard population. Results showed a surplus of male individuals and clustered distributions along the habitats. Both, male and female green lizards use the habitat network, with males covering larger distances. The connectivity structures facilitated the movement of males between habitat sections with some individuals covering distances exceeding 250 m. Hereby, male movement distances correlated with female abundance, which emphasizes the importance of connectivity structures in maintaining population stability. Two parameters correlated to female abundance showed significance in the models. First, the fewer females were detected in a male’s core area, the higher the probability that it migrated a long distance. Secondly, a positive correlation existed between males’ covered distance and female abundance in its entire activity range. Overall, this research highlights the importance of habitat connectivity measures for natural population dynamics through supporting male lizards to migrate in search of females.