Occurrence Maps Research Articles

Geotechnologies applied in the monitoring of mealybug in the black pepper cultivation in the South of Bahia

The behavior of insect pests within the agricultural system represents a strategy for integrated pest management. The objective of this study was to evaluate the pattern of spatial and temporal distribution of mealybugs in black pepper crop with the use of applied geotechnologies. The study was conducted in an area of 26 hectares with black pepper cultivation, using a grid samples with 96 points. Notes were assigned according to the infestation of the mealybugs, with the presence, formation of colonies and/or dispersion in the plant. The data were grouped by season and submitted to the Lilliefors test at 5%. The ordinary kriging method was used for phytotechnical and orbital variables, and indicator kriging for infestation data. Drone images were used to calculate the aerial indexes and to obtain the leaf area of each plant. With satellite images, the vegetation index and surface temperature were obtained. Climatic data were associated with phytotechnical, spectral and monitoring variables, using principal component analysis, when it was found that cochineal infestation levels are directly associated with the summer season and with NDVI and GLI index with a correlation above of 0.90. It was observed that the insect presents random distribution. The spatial-temporal distribution of GLI and the maximum indices occur in the winter and spring seasons. From the probability of occurrence map, the spring and summer seasons presented more favorable conditions for the occurrence of mealybugs in the planting of black pepper.

Excitation and stability of nonlinear compressible Görtler vortices and streaks induced by free-stream vortical disturbances

We study the generation, nonlinear development and secondary instability of unsteady Görtler vortices and streaks in compressible boundary layers exposed to free-stream vortical disturbances and evolving over concave, flat and convex walls. The formation and evolution of the disturbances are governed by the compressible nonlinear boundary-region equations, supplemented by initial and boundary conditions that characterise the impact of the free-stream disturbances on the boundary layer. Computations are performed for parameters typical of flows over high-pressure turbine blades, where the Görtler number, a measure of the curvature effects, and the disturbance Reynolds number, a measure of the nonlinear effects, are order-one quantities. At moderate intensities of the free-stream disturbances, increasing the Görtler number renders the boundary layer more unstable, while increasing the Mach number or the frequency stabilises the flow. As the free-stream disturbances become more intense, vortices over concave surfaces no longer develop into the characteristic mushroom-shaped structures, while the flow over convex surfaces is destabilised. An occurrence map identifies Görtler vortices or streaks for different levels of free-stream disturbances and Görtler numbers. Our calculations capture well the experimental measurements of the enhanced skin friction and wall-heat transfer over turbine-blade pressure surfaces. The time-averaged wall-heat transfer modulations, termed hot fingers, are elongated in the streamwise direction and their spanwise wavelength is half of the characteristic wavelength of the free-stream disturbances. Nonlinearly saturated disturbances are unstable to secondary high-frequency modes, whose growth rate increases with the Görtler number. A new varicose even mode is reported, which may promote transition to turbulence at the stem of nonlinear streaks.

Examining the reach of a diabetes screening program in an urban emergency department.

Screening for diabetes in non-traditional settings like emergency departments (ED) can enhance early detection among patients at higher risk for diabetes. This study aims to assess the reach of an ED-based screening program by examining the characteristics of patients screen-detected for diabetes or prediabetes. Retrospective cross-sectional study. Sociodemographic characteristics (age, gender, race and ethnicity, insurance, zip code) of patients who were screened for diabetes using hemoglobin A1c test (A1c) were examined. The distribution of prediabetes and diabetes within each race/ethnicity, age, and gender groups were determined. ArcGIS Pro 2.9.0 was used to geocode patient zip codes, to generate heat maps of high occurrences of prediabetes and diabetes. Of the 5997 individuals screened in the ED, 49% were non-Hispanic Black, 27% Hispanic, 15% non-Hispanic White, 5% non-Hispanic Asian, and 4% non-Hispanic Other/unknown. Almost half (47%, n=2808) had elevated A1c levels indicative of prediabetes (n=2070; A1c: 5.7-6.4%) or diabetes (n=738; A1c: ≥6.5%). Non-Hispanic Black females had a higher prevalence of both prediabetes (54%) and diabetes (55%) diagnoses as compared to other race/ethnic or gender categories; whereas non-Hispanic Asians had a lower prevalence of both prediabetes and diabetes except for those ≥65 years or older. Furthermore, most patients screened for prediabetes and diabetes reside in resource poor neighborhoods on the west and south sides of Chicago. The burden of prediabetes and diabetes were greater among non-Hispanic Black females, with a high prevalence of prediabetes observed among younger individuals, particularly those residing in resource poor neighborhoods in the west and south sides of Chicago. More investment in resources for diabetes prevention and management for these groups may be warranted.

Detection and identification of un-uniformed shape text from blurred video frames

<p><span lang="EN-GB">The identification and recognition of text from video frames have received a lot of attention recently, that makes many computer vision-based applications conceivable. In this study, we modify the picture mask and the original identification of the mask region convolution neural network and permit detection in three levels, including holistic, sequence, and at the level of pixels. To identify the texts and determine the text forms, semantics at the pixel and holistic levels can be used. With masking and detection, existences of the character and the word are separated and recognised. In addition, text detection using the results of 2-D feature space instance segmentation is done. Moreover, we explore text recognition using an attention-based optical character recognition (OCR) method with mask</span><span lang="EN-US"> r</span><span lang="EN-GB">egion convolution neural networks (R-CNN) to address and detect the problem of smaller and blurrier texts at the sequential level. Using attribute maps of the word occurrences in sequence to seq, the OCR method calculates the character sequence. At last, a fine-grained learning strategy is proposed to constructs models at word level using the annotated datasets, resulting in the training of a more precise and reliable model. The well-known benchmark datasets ICDAR 2013 and ICDAR 2015 are used to test our suggested methodology.</span></p>

Instagram data for validating Nothofagus pumilio distribution mapping in the Southern Andes: A novel ground truthing approach

The availability of valid, non-biased species occurrence data has always been a major challenge for biodiversity research and modelling studies. Data from open-source databases or remote sensing are promising approaches to increase the availability of species occurrence data. However, these data may contain spatial, temporal, and taxonomic biases or require ground truthing. In recent years, social media has received attention for its contribution to species occurrence data sampling and ground truthing approaches. The wide reach of social media platforms allows for rapid and large-scale analyses. Here we introduce a novel Instagram ground truthing approach to validate the occurrence mapping of Nothofagus pumilio across its entire distribution range. The treeline species of the southern Andes has been extensively studied in small-scale studies, but large-scale modelling approaches are largely missing due to limited accessibility to treeline sites resulting in a lack of occurrence data. The content posted on the social media platform Instagram consists of images and videos in which the species N. pumilio and its location can be identified. By searching for suitable posts using hashtags and location tags, we created 1238 Instagram ground truthing points. We compared the performance of our dataset with open-source data from the Global Biodiversity Information Facility (GBIF) through visual, quantitative, and bias analyses, acknowledging that both social media-based and Citizen Science data are subject to sampling and spatial biases due to collection in human-accessible areas. The Instagram ground truthing points were subsequently used to validate remote sensing occurrence data, generated using Sentinel-2 level 2A data and Supervised Classification. The combined approach – Instagram ground truthing and remote sensing – allows for the collection of occurrence data over the entire latitudinal range of N. pumilio, covering approximately 2000 km. The use of social media content provides potentially important contributions to species occurrence data sampling and ground truthing In our study we introduce a novel ground truthing approach for species occurrence data sampling based on Instagram data Instagram ground truthing points, combined with Supervised Classification generate species occurrence data of Nothofagus pumilio over its entire distribution range in the southern Andes The performance of the Instagram ground truthing points is evaluated by comparison with existing data from the GBIF database. Our Instagram ground truthing approach demonstrates a new way of sampling species occurrence data and can be applied to other suitable species and study areas.

Microlicia ferricola (Lavoisiereae), a new species of Melastomataceae from the Iron Quadrangle, Minas Gerais, Brazil

Here, we describe Microlicia ferricola, a newly discovered species exclusive to the Iron Quadrangle, Minas Gerais state. Additionally, we provide an illustration plate, field images, occurrence map, and comparisons with its morphological relatives such as M. longicalycina, M. woodgyeriana, and M. trichocalycina. This new species is characterized by its green-reddish to reddish branches, leaves, hypanthia, and sepals covered with glandular trichomes, lanceolate to elliptic-lanceolate leaves, setose at the apices, campanulate-oblong hypanthia, long-triangular sepals, dimorphic and bicolorous androecium with tetrasporangiate anthers. Microlicia ferricola is found in the Serra do Rola-Moça State Park and is considered a Least Concern (LC) taxon since it is within a conservation unit, ensuring its preservation.

BATS: Bat‐aggregated time series—A python‐based toolkit for landscape‐level monitoring of free‐tailed bats via weather radar

Abstract The US operates a system of 160 S‐band Doppler weather radars known as NEXRAD (NEXt generation weather RADar) that continuously monitors the airspace around the majority of the United States and outlying territories. These radars detect and track birds, insects, and bats. Free‐tailed bats (Genus Tadarida) provide considerable ecosystem services through their voracious insect consumption; but their movements and ecosystem service provision have historically been difficult to track/study in space and time. We introduce ‘BATS’, a Python toolkit that streamlines the process of downloading, classifying, and aggregating time series of free‐tailed bats across large landscapes. BATS retrieves data from NOAA's weather radar data repositories and classifies the processed radar data using a pre‐trained ML trained to detect and classify radar echoes associated with free‐tailed bats. We trained various machine learning approaches at classifying pixels containing free‐tailed bats and compared the effectiveness across approaches. With an AUC of 0.963, the neural network approach is highly effective in identifying free‐tailed bats in NEXRAD data over our study sites in California and Texas. Furthermore, BATS is capable of quickly distilling 6 months of radar data from a single tower (3.5 Tb) into a single 15 Mb‐sized map of bat occurrence, contingent on available computing resources. BATS will help scientists and stakeholders identify areas of high bat occupancy at the landscape level over long periods of time. This ability has the potential to increase our understanding of the economic and agricultural value of these species.

Three new species of Apotropina Hendel, 1907 (Diptera: Chloropidae) of the Colombian Andean-Amazon cloud forest.

The genus Apotropina Hendel is poorly known. In Colombia only one species registered. In this study, we describe three new species from Reserva Natural y Ecoturística La Ruidosa, Colombia: A. longicerci sp. nov., A. ruidosa sp. nov. and A. similis sp. nov. The three species are illustrated and identification key and occurrence map for all Colombian species are presented.

A Multi‐Modelling Approach for Informing the Conservation of a Cold‐Adapted Terrestrial Amphibian in the Face of Climate Change

ABSTRACTAimWe aimed to assess potential climate change impacts on the distribution of a cold‐adapted terrestrial amphibian that shows strong intraspecific differentiation.LocationAlps and Dinarides.TaxonAlpine salamander (Salamandra atra).MethodsWe built SDMs for each of two major intraspecific lineages (S. a. atra, which is found throughout the Northern Alps, and S. a. prenjensis, which appears sparsely along the Dinarides) and for the entire species, using occurrence points from a carefully curated database, climate data with 1 km2 spatial resolution and eight modelling techniques. We projected climatically suitable areas to 2070 under two climate scenarios (RCP2.6 and RCP8.5), using 24 general circulation models.ResultsFor S. a. atra, under RCP2.6 scenario, we detected a 3% increase in the extent of climatically suitable areas in the Alps (although with low model agreement), yet a 6% decrease under the RCP8.5 scenario. For S. a. prenjensis, we detected a decrease in the extent of climatically suitable areas in the Dinarides between 7% and 45% (RCP2.6 and RCP8.5, respectively). The SDM predictions for the entire species were most in line with those of the S. a. atra model. Although climate variables were not equally strong in predicting the climatic suitability for both lineages, the minimum temperature of the coldest month revealed an important predictor for the entire species, with clear decreases in suitability towards higher temperature.Main ConclusionsAll models reveal a considerable decrease in climate suitability throughout most of the range of S. atra, which is particularly visible in the Dinarides. We highlight the importance of considering intraspecific variation when modelling climate change impacts on geographically differentiated species whose populations vary in their climatic niche. We provide our study results (occurrence data and maps) via a web application that can be useful for guiding conservation efforts.

Eplingiella sanoi sp. nov. (Hyptidinae-Lamiaceae): supports the urgent need for campos rupestres conservation in the Serra do Espinhaço Septentrional, Minas Gerais state, Brazil

A new species of Lamiaceae, Eplingiella sanoi, from the campo rupestre of an ecotone zone between the Cerrado and the Caatinga domains is described and illustrated. The new species expands the distribution of the genus to Southeast Brazil, previously restricted to Northeast Brazil. Eplingiella sanoi is compared to the three other species of the genus, especially E. cuniloides, the morphologically closest related species. We present an identification key for all the species of the genus, an occurrence map for Eplingiella sanoi, E. cuniloides and E. brightoniae and a formal conservation assessment for the new species. Eplingiella sanoi is endemic to the region between Pico da Formosa and Pico do Sucuruiú (Minas Gerais state, Serra do Espinhaço), an area under threat due to a planned wind farm installation. Recognizing this species emphasizes the imperative for more taxonomic studies and conservation of Serra do Espinhaço.

Tracing the fate of hay meadows with haylofts in Slovakia: A geographical perspective

Abstract The paper focuses on the historical distribution of haylofts in Slovakia, geographical conditions related to hay meadows with haylofts, and land cover changes of former hayloft localities. Moreover, the current state of preserved haylofts and the land use of their surrounding area were documented at a regional scale, during the field research. A map of the historical occurrence of haylofts was digitised based on the Czechoslovakian military topographic maps from 1952–1957 (1:25,000). Altogether, 9,742 haylofts were recorded. The haylofts were usually built in mountain and sub-mountain areas on places with low soil quality, mostly at higher elevations, on moderate or moderately steep slopes and in more distant and isolated areas. About half of former hayloft meadows now exist as meadows or pastures with different intensity of grassland management. Forest or shrubs already cover the other 38% of the sites. To a lesser extent, the areas have been converted into arable land or recreational areas. Only a few haylofts have survived to this day; for example, in Upper Liptov Region, it is only 1% of their former abundance in this area (48 haylofts). Apart from a few positive cases where they have been restored or preserved, those that have survived continue to decay.

Myrcia cupreiflora (Myrtaceae), a new species from the Brazilian state of Rio de Janeiro

A new species of Myrcia (Myrtaceae) from the Brazilian Atlantic Forest in the state of Rio de Janeiro is described and illustrated. The species is recognizable by its strongly bullate leaf blades, long, axillary and terminal, coppery and strigose inflorescences and calyces completely fused in the flower buds, tearing deeply vertically into 4–5 homogeneous sepals at anthesis. We herein provide a morphological description of the new species along with taxonomic notes, preliminary conservation status, illustrations, and a map of occurrence records.

First record of Pleradenophora Esser (Euphorbiaceae) for the flora of Panama

Pleradenophora membranifolia (Müll. Arg.) Esser & A.L. Melo (Euphorbiaceae) was previously only known from central South America (Bolivia, Brazil, and Peru). Our new botanical collections from the seasonal dry forests in Garachiné, Darién Province, Panama increase the distribution of this species to Central America and include the first record of this genus for the country. We also provide photographs of field and herbarium specimens, an occurrence map, a description, and comments on the morphology and taxonomy of P. membranifolia.

Contribution to Egypt’s Flora: new records from Nile Islands, South Valley, Egypt

The rate at which people are introducing species to formerly uninhabited places shows no signs of slowing down. Wild plants can roam freely across international borders. From September 2021 to June 2023, 45 field excursions were made to Egypt’s southern Nile Islands in the Aswan Governorate to undertake vegetation surveys. Depending on the literature reviewed and herbaria consulted during this study, three plant taxa, as well as one additional genus (Macroptilium), found during these field excursions were not previously recorded in the Egyptian Flora. These new records are Acanthospermum hispidum (Asteraceae), Geranium carolinianum (Geraniaceae), and Macroptilium atropurpureum (Fabaceae). These plants are classed as noxious weeds that harm agriculture. A complete description, occurrence and distribuion maps, plant photos and illustrations are provided. This study underlines the importance of carrying out extensive and ongoing research on the flora of Aswan’s Nile Islands to have a better knowledge of flowering plant distribution patterns. In addition, it might be regarded as a great starting point for expanding floristic knowledge of this interesting territory and its surroundings.

Mapping of chromite occurrence in a meta-ultramafic complex by magnetometric prospecting, Sul-Riograndense Shield (Southern Brazil)

This study presents the use of terrestrial magnetometry method in the characterization of a metamorphic and chromium-mineralized ultramafic body in the São Sepé region (RS). Several serpentinite exposures were recognized in the study area, characterized by a very evident schistosity marked by amphiboles and micas. The most preserved rocks are gray to dark green in color, silky to the touch and with folds and variable fracturing. The chromite present in serpentinites is associated with magnetite, and occurs in the form of small lenses. 1677 reading lines were made perpendicular to the main direction of the meta-ultramafic body, with 25m spacing between measurement points. The magnetometric maps revealed high-intensity anomalies related to meta-ultramafic rocks. 1677 reading lines were made perpendicular to the main direction of the meta-ultramafic body, with 25m spacing between measurement points. The magnetometric maps revealed high-intensity anomalies related to meta-ultramafic rocks. The results revealed the existence of highly magnetic individualized lenses orientated according to NE / SW, related to regional deformation events, with remobilization and mineral reconcentration. The direct relationship between high magnetization and chromite/ferro-chromite concentrations allows relatively detailed mapping of potentially mineralized areas, revealing dimensions more significant than the limits of the meta-ultramafic sequence defined in the geological map. The results indicate that the analytical signal amplitude map is a highly recommended product for planning sampling actions and reserve quantification, improving classical geological mapping.

Modeling of the habitat suitability of European sprat (Sprattus sprattus, L.) in the Adriatic Sea under several climate change scenarios

The Mediterranean Sea represents the lower latitudinal limit of the European sprat range, where it is considered a sentinel species favoring temperate–cold temperatures. Sprattus sprattus is a plankton feeder that plays an important ecological role in contributing to the transfer of energy from lower to higher trophic levels, but climate-driven increases in sea temperatures may reduce the suitability of the pelagic habitat and threaten the tropho-dynamic role of sprat in areas such as the Adriatic Sea. The latter is an enclosed basin characterized by shallow waters and high annual temperature variations. Here, to investigate present and future habitat suitability areas for sprat, we applied four species distribution models (SDMs) using fishery-independent data collected from 2004 to 2021, along with remotely sensed and modeled environmental variables. A set of nine environmental predictors was tested, and the resulting best model was averaged in an ensemble model approach. The best ensemble models revealed good to high accuracy (sensitivity and specificity ≥ 0.8). The sea surface temperature and chlorophyll concentration emerged as the main explanatory variables in predicting the potential habitat of sprats, followed by bathymetry. The resulting probability of occurrence maps revealed that the species is bounded in the northern Adriatic Sea, where a longitudinal shift of high-suitability habitats from inshore to deeper and colder waters was detected between early and late summer. Future projections under IPCC representative concentration pathway (RCP) scenarios 4.5 (intermediate emission) and 8.5 (high emission-warm) underline small changes along with a gain of new areas in late summer in the short-term period up to 2050. Conversely, the temperature increase projected for the end of the century is predicted to cause a loss of suitable habitat area for sprats of up to 88% under a high emission-warm scenario relative to current habitat occupancy throughout the basin.

Geospatial analysis of cholera outbreak mapping of prone areas in communities in Ondo State, Southwestern, Nigeria

Cholera stands as an abrupt intestinal infection brought about by the consumption of food or water contaminated with comma-shaped bacteria, specifically Vibrio cholerae. The prime objective of this study is to employ Geospatial methodologies in the mapping of cholera occurrences within Ondo State. Geographical Information System (GIS) is utilized to chart the instances of cholera outbreaks. The pivotal aims of this endeavor encompass: · delineating the prevalence of cholera incidents across all Local Government Areas (LGA) within Ondo State; · assessing the trajectory of cholera occurrences within the research locale; · identifying the principal causes of cholera within Ondo State; · Outlining and suggesting potential strategies to counteract the incidence of cholera in the state; and · Forecasting the occurrence of cholera cases over the subsequent 5 to 10 years. Recorded instances of cholera were sourced from the ministry of health, supplemented by the use of questionnaires to amass primary data. The research leveraged both ArcGIS and SPSS as analytical tools. ArcGIS facilitated the mapping of cholera causes and plausible remedies. It is evident that Local Government Areas (LGAs) boasting larger populations recorded more cholera cases compared to their smaller counterparts. Furthermore, it is observed that the highest count of reported cholera cases across all LGAs was reached in 2014. The study establishes the potential for early diagnosis and preventive measures to obliterate the disease and integrate the resulting database into the primary health sector. It was discovered that there’s know significant differences in reported cases of cholera in all the Local Government Areas (LGA) despite the fact that the values looks similar or varies. The study recommends advancing the field of cholera mapping to unveil risk factors and preclude potential cholera outbreaks within the state. Anticipated production of risk maps will identify regions prone to future cholera attacks within the state.

The importance of volunteer civil protection and defense agents in reporting accidents and disasters: A case study of the mapping of occurrences in Nova Iguaçu-RJ

This article presents the benefits of a tool that trains volunteers who support the Municipal Protection and Civil Defense Coordination, working to reduce risks and manage accidents and disasters. The research focused on studying the role of volunteering in civil protection and defense in Brazil, identifying the type of disaster, by neighborhood, most relevant in the municipality of Nova Iguaçu, which caused the greatest damage and losses: floods. Furthermore, the relevance of the trained volunteer and the role of the Training Center for Emergencies and Disasters in training and preparing volunteers for a more technical vision were considered. The research methodology was qualitative, with researchers analyzing the information, actions and activities listed, to obtain data on practical actions, involving the target audience of the community. The information was extremely important for the creation of the map and its maintenance through reports from NUPDECs volunteer agents, who were in the affected communities. It is positive to conclude about the relevance of the tool created, despite the difficulties in obtaining the data for its preparation, which were overcome with the partnership of several actors involved.

Geographical and seasonal variations of gravity wave activities in the upper mesosphere measured by space-borne imaging of molecular oxygen nightglow

Geographical and seasonal variations of gravity wave events in the upper mesosphere were investigated using the nightglow imaging data obtained by the Visible and near-Infrared Spectral Imager (VISI) on the Ionosphere, Mesosphere, upper Atmosphere and Plasmasphere (IMAP) onboard the International Space Station (ISS). The nadir-imaging data of the O2(0–0) atmospheric band (762 nm) with the typical emission peak around 95 km altitude was used to investigate small-scale waves (horizontal wavelengths less than ~ 200 km) on a global scale. To detect gravity wave events, the variance of high-pass filtered nightglow images within a local 100 km radius was evaluated, with a threshold set at three times the standard deviation from the average variance of the background level. A data screening algorithm that evaluates the variance of upwelling contamination light emission was also introduced to remove contaminated data. Applying the variance filter and data screening algorithm to a nearly 3-year data set, from November 2012 to August 2015, occurrence maps of wave events for four seasons were derived. The occurrence maps show a higher frequency of wave events in winter high latitudes (> 40° N/S), considerably attributed to gravity wave activity associated with the polar night jet. Hot spots were observed near orographic sources in winter high latitudes, including the eastern part of North America, Europe, and the southern Andes. In the summer hemisphere, hot spots were detected at mid-to-high latitudes such as North America, Europe, and the eastern side of the Eurasian continent, and at equatorial latitudes just above the intertropical convection zone (ITCZ). They are likely gravity waves from deep convection that arise from mid-latitude summertime thunderstorms and the ITCZ, respectively. During the equinox seasons, hot spots were detected near convective sources such as the Amazon Rainforest, Congo Rainforest, and the Indochina peninsula.Graphical

A Bibliometric and Visualisation Analysis on the Research of Female Genital Plastic Surgery Based on the Web of Science Core Collection Database.

Due to the increasing demand for improving the morphology and function of the external genitalia amongst women, it is necessary to conduct statistical analysis of research data on female genital reconstruction. The current study aimed to use bibliometric analysis to analyse the research hotspots and trend frontiers of the female genital reconstructive research. Publications on the female genital reconstructive research were extracted from the Web of Science Core Collection database. VOSviewer 1.6.18 was used to establish visualisation maps and find top authors, institutions, countries, burst keywords, co-cited authors, journals, research hotspots, and trends. A total of 2207 studies published by 364 different journals authored by 7479 researchers were contained in this study. In the co-authorship analysis, the bulk of the retrieved studies was conducted by the USA, followed by England, Italy, and Netherlands, whilst the most productive institution, journal, and author were U.S. Univ Calif San Francisco, Journal of Sexual Medicine, and Bouman Mark-Bram, respectively. In the co-cited analysis, the top most-cited author and journal were Hage JJ and Journal of Sexual Medicine, respectively. The map of keywords occurrence revealed the most active research aspects were focussed on "vaginoplasty", "feminised genitoplasty", "laser treatment of vaginal atrophy", "transsexualism", and "labiaplasty". The time overlay mapping showed that the study of female genital plastic surgery focusses on the energetic treatment of genitourinary syndromes caused by transsexualism and menopause, especially by using management and treatment of vulvovaginal atrophy for the research trends, and through the vaginoplasty, feminising genioplasty, and laser treatments in the direction of treatments related to physical and mental problems. This novel inclusive bibliometric analysis can help research workers to quickly understand the potential and active researchers, landmark studies, and topics within their interests. We are willing to provide more beneficial data to contribute valuable research of female genital plastic surgery through this study. The journal asks authors to assign a level of evidence to each article. For a complete description of Evidence-Based Medicine ratings, see the Table of Contents or the online Instructions for Authors at www.springer.com/00266 .