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One of the main goals of historical biogeography is understanding where species originated, and how climate change and ecological interactions shaped their distribution. The task is complicated by both active and passive mechanisms, including habitat tracking, the separation of species into metapopulations of variably interconnected demes, and long‐distance dispersal, which may all obscure the geographic signature of species origin. Current historical biogeography tools use phylogenies to infer the area of origin (AOO). They work by discretizing the geographic range occupied by the species into distinct areas and then applying ancestral character estimation to identify the area occupied at speciation. These methods are powerful and can account for different modes of speciation. Yet, they are bound to assume that the discrete areas currently occupied by the species are faithful representation of their climatic and historic affiliation and ignore metapopulation structures. Still, most methods cannot take advantage of fossil information or work with phylogenies including extinct species. Although explicit bioclimatic modelling is now possible under some implementations, these limitations are partly unresolved, which burdens the accuracy of the AOO estimation process. We present a new tool written in R, named RRphylogeography, meant to find the AOO of species, and to locate feasible zones of contact between species throughout their history. RRphylogeography starts from the bioclimatic modelling of the species, identifies potential habitat patches occupied during speciation and finds the habitat patches most likely to represent the AOO or contact. By using virtual species simulations, we compared RRphylogeography to common historical biogeography tools. We found RRphylogeography statistically outcompetes these alternatives under all study conditions, reaching especially accurate predictions. We additionally used RRphylogeography to investigate the complex phylogeographic history of the polar bear Ursus maritimus. The method placed the origin of the species in Northern Beringia. Intriguingly, it further shows possible contact zones between polar and brown bear in northwestern Europe during the late Pleistocene and in Beringia during the Pleistocene to Holocene transition, which is in perfect agreement with the known hybridization history between the two species.

Migration in West Africa has been taking place for centuries for different reasons. Many dimensions of migration remain insufficiently documented and poorly understood. In particular, factors of migration in destination areas and areas of origin are still lacking comprehensive analysis. In this paper, we bring a new perspective to the model of push and pull factors of migration in West Africa by reviewing and analyzing interview-based case studies of migration related to Ghana, Burkina Faso, and Nigeria, as well as to the associated migration routes. The overall aim of this study was to determine the areas that individuals historically chose as destinations for migration and what they perceived to be the distinctive conditions in those areas. Hence, characteristic features about destination areas and areas of origin were identified and located in maps, whereas interrelationships among push and pull factors were illustrated by means of Sankey diagrams. With these tools, we provide a novel combination for visualizing the reasons for migration. The literature review emphasizes the complex relationships between different drivers of migration, with environmental and economic factors emerging as the most important drivers of migration in the focus countries. Moreover, the identified and mapped migration patterns suggest that individuals migrate mainly from the northern part of a particular country to its center or southern regions. This scientific approach shows that the spatial allocation of migratory movements can facilitate assessments on how to meet specific Sustainable Development Goals and to improve regional policies.

Low temperatures are a key factor affecting the growth, development, and geographical distribution of prickly ash. This study investigated the impact of ecological and geographical factors on the freezing tolerance of prickly ash germplasm. Thirty-seven germplasm samples from 18 different origins were collected, and their freezing tolerance was comprehensively evaluated. The correlation between freezing tolerance and the ecological and geographical factors of their origins was also analyzed. Significant differences in freezing tolerance were observed among germplasm from different origins. The semi-lethal temperature of the germplasm ranged from − 12.37 to 1.08 °C. As temperatures decreased, the relative conductivity (REC) and catalase (CAT) activity of the germplasm gradually increased, while soluble sugar (SS), soluble protein (SP), free proline (Pro), and Peroxidase (POD) activities decreased and then increased. Superoxide dismutase (SOD) activity initially increased and then decreased. A comprehensive evaluation of freezing tolerance was conducted using a logistic equation, membership function, and cluster analysis. Germplasm from Tongchuan and Hancheng (Shaanxi Province, China), Asakura (Japan), and Yuncheng (Shanxi Province, China) exhibited the highest freezing tolerance, whereas those from Rongchang (Chongqing Municipality, China), Qujing (Yunnan Province, China), and Honghe (Yunnan Province, China) had the lowest. The correlation analysis revealed a significant positive correlation between freezing tolerance and latitude, and a significant negative correlation with the temperature of origin. Germplasm from higher latitudes showed higher SS content, SOD and CAT activities, stronger antioxidant enzyme activity, and better freezing tolerance compared to those from lower latitudes. REC was lower in germplasm originating from low-temperature areas than in those from high-temperature areas. Additionally, SP, Pro content, SOD, and POD activities were higher, indicating effective scavenging of active oxygen free radicals. No significant correlation was found between altitude and longitude of origin and freezing tolerance. However, at similar latitudes, prickly ash from higher altitudes displayed higher antioxidant enzyme activity and stronger freezing tolerance compared to those from lower altitudes. These findings provide a scientific basis for breeding prickly ash cultivars suited to different ecological regions.

Bloodstain pattern analysis plays a crucial role in forensic investigations. Projected patterns can offer valuable insights into the dynamics of crime scenes. In this paper, we propose and validate a novel approach that extends existing software, HemoVision, to analyze impact patterns that are distributed across multiple arbitrarily oriented surfaces. The proposed method integrates HemoVision’s marker-based system with structure from motion (SfM) techniques to reconstruct the three-dimensional geometry of impact patterns using only two-dimensional photographs. Controlled experiments were used to validate the proposed approach, demonstrating robustness in reconstruction accuracy with median translation errors below 3 mm and median angular errors below 0.2°, irrespective of imaging device or image resolution. Comparing the estimated areas origin to their known ground truth, the proposed method achieved an average total error of 8.12 cm, with the primary source of error being the vertical dimension. Despite this, the overall error remains well within the ranges of error reported in prior work. This study demonstrates that HemoVision can be used to analyze complex impact patterns using only two-dimensional photographs, providing forensic experts with an efficient and accessible tool for investigating intricate crime scenes involving multi-surface impact patterns. •HemoVision is extended with photogrammetry to create 3D scenes from 2D photographs.•Impact patterns were created in controlled experiments for validation.•3D reconstructions had median translation and rotation errors of 3 mm and 0.18°.•Resulting area of origin estimates had a mean total error of 8.12 cm.•HemoVision is an efficient and accurate tool for analyzing complex impact patterns.

Migration affects development in both the rural and urban areas. This has been a major challenge in Ethiopia’s development in general and Woldia’s urban growth in particular. Therefore, this study examines the effects of migration on migrant sending and receiving areas of Ethiopia, by considering Woldia town and its surrounding areas as a case study. To achieve the study objectives, data were collected from a randomly selected sample of 395 respondents using questionnaire. Focus group discussions and key informant interviews were also employed along with the survey. Secondary data sources were also used. Both qualitative and quantitative data analysis was employed. The result showed that there was socio-economic development gap between rural and urban areas. The findings also revealed that the majority of migrants were of rural origin, traveled short distances, and they were male in the age group of 25–44. To this end, migrants have faced challenges with social services and employments at destination in one hand, and decline of labour force and productivity at the origin on the other hand. Hence, in order to address the challenges, the study suggests that government interventions should be made to provide jobs, basic social services and infrastructure facilities to both rural and urban areas.

•HemoVision is software that automates bloodstain impact pattern analysis.•Has not been validated and uses tangent method, which is known to be biased.•Propose method that formulates Area of Origin estimation as optimisation problem.•Present results from validation study using controlled experiments.•Proposed method significantly outperforms others and is significantly more robust. [Display omitted] Bloodstain impact pattern Area of Origin (AO) estimation is an important but time-consuming process in criminal investigations. HemoVision is a software package that automates and accelerates this process. To date, however, no study has been published that evaluates HemoVision’s accuracy. Moreover, HemoVision relies on an automated variant of the tangent method to estimate a pattern’s AO, even though the use of front-view projections has been shown to provide biased AO estimates. Therefore, the goal of this paper is twofold. First, a novel AO estimation method is proposed, whereby AO estimation is formulated as a least-squares optimisation problem that operates in three dimensions directly, eliminating the need for front view projections. Second, ten impact patterns with known AO coordinates at both 50 cm and 100 cm with respect to the target wall are created and used to compare the proposed approach’s accuracy and robustness to the manual tangent method, HemoSpat, and HemoVision’s automated tangent method. Results show that for impacts at 100 cm or less to the target wall, the proposed approach achieves the lowest average error of 17.29 cm with the least uncertainty, and that it performs significantly better than the manual tangent and automated tangent methods at a 5% significance level. Moreover, it is shown to achieve errors of less than 30 cm at these distances with just nine stains, whereas the automated tangent method requires a minimum of 16 stains to achieve the same average error.

The first point of contact between a spherical blood drop and a surface is related to the angle between the trajectory of the blood drop and the surface being struck. This angle is often referred to as the impact angle which can be estimated by knowing the width and length of the resultant elliptical bloodstain. Most software programs dedicated to area of origin analysis indicate the location of the backtracked bloodstain trajectory to be at the geometric centre or at the tip of the bloodstain ellipse. However, it is unknown how the first point of contact and the blood drop trajectory (here defined as the locus of the centre of mass of the drop as it travels) are related empirically. Thus, this study aims to look at how the initial point of contact and the trajectory at the impact of a blood drop relates to the formed bloodstain ellipse. Two volumes of blood (0.013 ml and 0.071 ml) were dropped from a height of 10 cm and 40 cm onto an inclined surface at 0°, 15°, 30°, 45°, 60°, and 75°. The transition from a spherical blood drop to an elliptically shaped bloodstain was recorded using a high-speed camera for all tests. A total of 72 ellipses were analyzed to determine the location of the first point of contact and trajectory point of the blood drop and how they relate to the formed elliptical bloodstain. A relationship was found between the first point of contact and the bloodstain trajectory which was dependent on the impact angle. However, there were clear deviations from theoretical assumptions due to blood drop oscillations, the effects of gravity, and the natural fluid characteristics of blood. The results of this study may assist bloodstain pattern analysts and software developers by more accurately applying the location of the blood drop trajectory based on empirical data. •The first point of contact follows a similar trend to the sine value.•The trajectory point moves along the half-length of the bloodstain.•The trajectory point and first point of contact are mainly at different locations.•The trajectory point is not always at the centre or tip of the ellipse.•The first point of contact is not always at the centre of tip of the ellipse.

Introduction In France, 10% of the population are immigrants and another 11% are children of immigrants. Both have worse mental health than the native French. The role of adverse childhood experiences (ACE) in immigrants’ mental health is not well characterized. We aimed to examine associations between immigration background, ACEs, and depressive symptoms. Methods Data came from the baseline and 2020 follow-up questionnaires of the French CONSTANCES study ( n  = 116,495), a national cohort. The exposure was immigration background categorized by immigration generation (1st : immigrants; 2nd : French-born with ≥ 1 immigrant parent; and native French) and the geographic origin of the participant (1st generation) or ≥ 1 parent (2nd generation). The mediator was experiencing ACEs. The outcome was depressive symptoms ascertained with the Center for Epidemiologic Studies Depression scale at study inclusion. Mediation analysis using multivariable logistic regression and path analysis (PA) was used to assess associations between the exposure, mediator, and outcome, overall and stratified by sex, minimally adjusting for age and sex or adjusting for all covariates. Results The prevalence of depressive symptoms was 18.5%. In minimally adjusted models, compared to native French, there were higher odds of depressive symptoms in 1st and 2nd generation adults except those with ≥ 1 parent from Asia. Mediation effects of ACEs from PA ranged from 0.03 to 0.10. In the fully adjusted model including after adjusting for experiencing ACEs, only immigrants from North Africa had significantly increased odds of depressive symptoms (AOR = 1.52, 95%CI: 1.29, 1.79). Conclusions In France, non-native adults have higher prevalence and odds of depressive symptoms than the native French, with ACEs having a significant mediating effect. Key messages Compared to the native French, there were generally higher odds of depressive symptoms and experiencing ACEs in immigrants and descendants of immigrants. Experiencing ACEs may have a mediating effect on depressive symptoms among most groups of immigrants and descendants of immigrants. Our findings from a large, diverse cohort have implications for risk factors to prioritize to advance psychosocial health and research among immigrants and their descendants, in relation to both origin-specific and general factors related to depression and ACEs.

•New software, FARO Zone 3D includes digital tools for bloodstain pattern analysis.•Workflow and accuracy were comparable to the FARO Scene Forensic Wizard plug-in.•Majority of errors were within maximum error range recommended in past literature.•FARO Zone 3D is a suitable alternative to FARO Scene’s Forensic Wizard plug-in. This comparative study aimed to investigate the differences between the workflow, accuracy, and reproducibility of the area of origin tools in FARO Scene and FARO Zone 3D software. Released in 2018, FZ3D has recently been introduced as an alternative application to FARO Scene’s Forensic Wizard plug-in for bloodstain pattern analysis but no accuracy studies have been published at the time of this study. A total of 15 impacts were created using an impact rig at three different positions from two orthogonal walls (50cm, 75cm, 100cm). One researcher conducted the analyses with both software packages, and the total errors using FZ3D were not statistically greater than using FARO Scene (p>0.05). With FZ3D, 50% of the total errors ranged from 6.63cm to 15.68cm with a minimum of 2.45cm, maximum of 27cm, and median of 11.22cm. With FARO Scene, 50% of the total errors ranged from 3.6cm to 15.5cm with a minimum of 2.93cm, maximum of 31.25cm and median of 9.6cm. A blind test with seven participants analyzing the same 15 impacts in FZ3D resulted in 100 out of 105 total errors (95%) to be within the accepted error range of 20cm. Of the five total errors outside 20cm, one was obtained from the 75cm position and four from the 100cm position. 75% of the total errors were below 9.43cm from the 50cm position, 14.88cm from the 75cm position, and 17.39cm from the 100cm position. This could indicate that there is a positive correlation between the distance of the impact from the surfaces and total errors obtained. Based on results of previous literature and comparison to FARO Scene software, FZ3D is shown to have acceptable area of origin analysis tools.

The tropical snowflake octocoral Carijoa riisei, which is thought to be native to the Indo-Pacific biogeographical region, has been increasingly reported from the Colombian Tropical Eastern Pacific (TEP) over the past two decades. Massive mortalities of native octocorals, particularly in Pacifigorgia spp. and Muricea spp., were observed due to C. riisei overgrowth. However, the area of origin of TEP C. riisei remains unknown and its potential invasive status has not been addressed yet. We evaluated geographical scenarios for the colonization of the Colombian TEP by conducting phylogeographical analyses based on nuclear and mitochondrial sequences of 306 individual specimens from across the species’ (native/non-native) range and applying hypothesis-specific operational criteria. Additionally, we assessed whether C. riisei has to be considered an invasive species based on the previously proposed ‘unified framework for biological invasions’. Our results showed relatively high genetic differentiation between Colombian TEP populations, on the one side, and Indo-Pacific and Hawaiian populations, on the other side. In contrast, we could not identify genetic differentiation and significant isolation by distance (IBD) between Colombian TEP and Tropical Atlantic populations. C. riisei might have been introduced from the Atlantic into the Colombian TEP, possibly via the Panama Canal. Based on the criteria of the ‘unified framework for biological invasions’, we also conclude that this octocoral constitutes an invasive species. Our study may serve as a basis for establishing strategies to protect native species from one of the very few invasive coral species worldwide.