Edward Richard Jacobson

This study describes some morphometric and molecular aspects of four species of hermit crabs (Clibanarius clibanarius, Clibanarius padavensis, Clibanarius infraspinatus, and Diogenes rectimanus) reported for the first time from Bangladesh. A total of 15 COI sequences were generated for these four species. The average genetic distances found within species, genus, and family were 0.96 ± 0.02%, 22.80 ± 0.06%, and 25.13 ± 0.11%, respectively. For barcode gap analysis, the mean and maximum intra-specific values were compared to the nearest neighbour distance using the K2P model. The cluster sequence results revealed four OTUs. The phylogenetic tree based on the neighbor-joining (NJ) method showed a single cluster for each species. Thus, morphometric and molecular data confirmed the species identification. Based on the analysed material, we assume that there are many more species in the coastal areas of Bangladesh which could be discovered in future surveys.

This study assesses the impact of climate change on the distribution of Ixodes ricinus, which transmits Lyme disease, a growing public health concern. Utilizing ensemble models from the R package ‘flexsdm’ and climate data from WorldClim, ENVIREM, and CliMond, we project habitat suitability changes for the focus species. The models, validated against Lyme disease incidence rates, predict a 1.5-fold increase in suitable habitats in Latvia, contrasted with a 4.5-fold decrease in suitable habitats within Ukraine over the coming decades. SHAP values are analyzed to determine the most influential climatic features affecting tick distribution, providing insights for future vector control and disease prevention strategies. The optimal bioclimatic environment for I. ricinus seems to be an intricate balance of moderate temperatures, high humidity, and sufficient rainfall (bio7, 14, 18, 29). Also, radiation during the wettest quarter (bio24) significantly influences tick distribution in northern countries. This implies an increased presence of ticks in Scandinavian countries, Baltic states, etc. These findings largely coincide with our projections regarding bioclimatic suitability for ticks in Latvia and Ukraine. These shifts reflect broader patterns of vector redistribution driven by global warming, highlighting the urgent need to adapt public health planning to the evolving landscape of vector-borne diseases under climate change.

Globally, vector‐borne diseases are increasing in distribution and frequency, affecting humans, domestic animals, and wildlife. Science‐based management and prevention of these diseases requires a sound understanding of the distribution and environmental requirements of the vectors and hosts involved in disease transmission. Integrated Species Distribution Models (ISDM) account for diverse data types through hierarchical modeling and represent a significant advancement in species distribution modeling. We assessed the distribution of the soft tick subspecies Ornithodoros turicata americanus. This tick species is a potential vector of African swine fever virus (ASFV), a pathogen responsible for an ongoing global epizootic that threatens agroindustry worldwide. Given the novelty of this method, we compared the results to a conventional Maxent SDM and validated the results through data partitioning. Our input for the model consisted of systematically collected detection data from 591 sampled field sites and 12 historical species records, as well as four variables describing climatic and soil characteristics. We found that a combination of climatic variables describing seasonality and temperature extremes, along with the amount of sand in the soil, determined the predicted intensity of occurrence of this tick species. When projected in geographic space, this distribution model predicted 62% of Florida as suitable habitat for this tick species. The ISDM presented a higher TSS and AUC than the Maxent conventional model, while sensitivity was similar between both models. Our case example shows the utility of ISDMs in disease ecology studies and highlights the broad range of geographic suitability for this important disease vector. These results provide important foundational information to inform future risk assessment work for tick‐borne relapsing fever surveillance and potential ASF introduction and maintenance in the United States.

The Asian tiger mosquito, Aedes albopictus, has spread widely throughout Italy since its introduction, with significant public health implications. We examine how decadal temperature trends and sub-monthly heatwave events affect its climate-driven geographical distribution and temporal dynamics using a new regional-scale dynamical Aedes model. The model is calibrated using 12 years of ovitrap data for Emilia-Romagna and reproduces the vector seasonality and, to a lesser extent, its inter-annual variability. Simulated vector density hotspots overlap with densely populated areas in Rome, Milan, Naples, Foggia, Catania, Palermo, Lecce, Cagliari, Genoa, Turin and large urban centres in Emilia-Romagna. Lower risk is simulated over the Central Apennine mountains and the Alps. At decadal time scale, we simulate a lengthening of the active mosquito season by 0.5–3 weeks per decade, with the vector becoming homodynamic in southern Italy. Depending on the climatic setting, heatwaves can increase or reduce vector populations and, in some locations, can temporarily decrease mosquito populations. Such decreases can be followed by a population rebound and overshoot. Given the model’s skill in reproducing key spatio-temporal Ae. albopictus features, there is potential to develop an early warning system to inform control efforts at a national scale.

Predicting global change effects poses significant challenges due to the intricate interplay between climate change and anthropogenic stressors in shaping ecological communities and their function, such as pest outbreak risk. Termites are ecosystem engineers, yet some pest species are causing worldwide economic losses. While habitat fragmentation seems to drive pest-dominated termite communities, its interaction with climate change effect remains unknown. We test whether climate and habitat fragmentation interactively alter interspecific competition that may limit pest termite risk. Leveraging global termite co-occurrence including 280 pest species, we found that competitively superior termite species (e.g., large bodied) increased in large and continuous habitats solely at high precipitation. While competitive species suppressed pest species globally, habitat fragmentation drove pest termite risk only in humid biomes. Unfortunately, hu- mid tropics have experienced vast forest fragmentation and rainfall reduction over the past decades. These stressors, if not stopped, may drive pest termite risk, potentially via competitive release.

Enggano Island has a unique and interesting endemic species to study. Data collection on the Enggano's herpetofauna was last carried out in 2015, and there was a data gap for six years. Therefore, it is necessary to research herpetofauna diversity on the island. The study used Visual Encountered Survei (VES) combined with patch and time search sampling at diurnal and nocturnal active times. We also compiled the data on herpetofauna species in books, journal publications, database specimens from museums worldwide, and recorded observations of individual species. We surveyed four research sites on Enggano Island (Kaana, Malakoni-Apoho, Meok, and Banjarsari). We preserved some specimens for each unprotected species in ethanol 70% and identified with Sumatran herpetofauna field guide. From the research, we concluded that there are 15 species of herpetofauna found in this study (4 species of amphibians and 11 species of reptiles). We found 2 endemic species of the island (Draco modiglianii and Cnemaspis modiglianii). Previous research has not reported two new record species of amphibians, i.e., Fejervarya limnocharis and Duttaphrynus melanostictus. This research has not yet represented herpetofauna's true diversity on Enggano Island. The number of these species can still increase along with expanding the research study area, especially in conservation areas managed by BKSDA. Continuous exploration and monitoring need to be carried out to ensure future conservation management.

Sarcophagid experts have made several efforts to associate biodiversity data and comprehend where each species occurs, but comprehensive faunal inventories remain scarce. Our aim was to provide a list of distributional patterns and endemic species and allow assessment of the sampling effort conducted within Brazilian biomes. We produced a dataset of Brazilian sarcophagids and overlaid with a biome map, to investigate distributional patterns, endemism and to build species accumulation curves. Additionally, we calculated nonparametric asymptotic species richness estimators and extrapolation of species diversity (Hill numbers). Our dataset comprised 288 sarcophagid species, which 21 were identified as endemic. The biomes with the highest species richness were the Atlantic Rainforest and the Amazon Forest, and no biome exhibited a stabilized asymptotic curve. This is the first proposal of listing Sarcophagidae species by biomes and essential to understand the spatial distribution of this family in Brazil. We present maps and richness estimators that allow identifying gaps and guiding survey planning.

Ophiophagus hannah, commonly known as the king cobra, is listed as vulnerable by the International Union for Conservation of Nature (IUCN) and is protected under national laws in most countries. This charismatic species faces multiple threats, including habitat loss, human persecution, illegal trafficking, and climate change. Due to the king cobra's sensitivity to environmental conditions, its population status and trends are barely understood. This study used the MaxEnt algorithm to predict the potential distribution of king cobras across Asia, a method that has been successfully implemented in modeling distributions of various species in the region. The findings showed that Evergreen Broadleaf Trees emerged as the most influential variable for the distribution of Ophiophagus hannah with a 27.3% contribution, followed by the Mean Diurnal Range and Urban/Built‐up areas. Jackknife analysis identified the Mean Diurnal Range as having the highest testing gain. Approximately 413,268 km2 were found to have the most suitable climatic conditions for sustaining this species. Countries such as India, Myanmar, Bangladesh, Vietnam, Cambodia, Indonesia, and Malaysia were identified as having favorable conditions. Under the future climate scenario SSP5‐8.5, the extent of suitable habitats (maximum) for the king cobra is projected to decrease in the periods 2041–2060 and 2081–2100. This report provides valuable insights that could inform conservation strategies for O. hannah in these regions.

Invasive mosquitoes, Aedes aegypti (African) and Aedes albopictus (Asian), serve as global vectors for diseases such as dengue, Zika, and chikungunya, and they are currently present in Colombia. Consequently, the aim of this study was to assess the potential geographic distribution of these A. aegypti and A. albopictus vectors under both present and future environmental conditions in Colombia. To achieve this, a dataset was compiled using global records for each species, with those from Colombia being used for model validation. These records, in conjunction with layers of bioclimatic variables, were incorporated into ecological niche models. Predictions of potential distribution were made with the Maxent algorithm, using the Wallace EcoMod application for current conditions and the Java MaxEnt software for future projections, which represented three climate change scenarios (SSP245, SSP370, and SSP585) for two time periods (2041–2060 and 2081–2100). Additionally, niche overlap was calculated, and the suitable habitat range and population at risk in Colombia were quantified for current predictions. It is suggested that both species share ideal areas in the country with an overlap of 0.85, covering over 70% of the country's territory and reaching altitudes higher than 2,500 m, potentially affecting at least 45% of the population. In the future for both species it is estimated that, with increasing temperatures, the potential distribution could decrease, but they could invade areas with altitudes above 3,500 m (colder). It is concluded that, currently, A. aegypti and A. albopictus could have similar geographic distribution in Colombia and that, in the following years, climate change could lead to latitudinal and altitudinal variations in the distribution areas of these vectors.

The fundamental ecological niche is determined by individuals’ ability to cope with abiotic conditions; however, biotic interactions (e.g., competition) can also influence species’ distribution ranges, reducing the fundamental niche to the realized niche. Several species of the genera Clibanarius and Calcinus overlap in their distributions. The agonistically dominant Calcinus species inhabits mostly lower intertidal levels, while Clibanarius is more abundant in the abiotically demanding upper strata. Additionally, evidence of microhabitat competitive exclusion shows that the superior competitor, Ca . californiensis , causes the vertical displacement of Cl . albidigitus . However, it is unknown whether competitive exclusion between species of these genera has influenced their distributions at the macroecological scale. We used ecological niche models to compare the distribution and the habitat suitability of species of these genera. We used databases of species occurrences and bioclimatic and geophysical variables to model and map the species’ niches. Species of the two hermit crab genera showed strong overlap in their habitat suitability. Calcinus and Clibanarius species occur in broad sympatry at the regional scale without regions of partial overlap that would indicate competitive exclusion. Therefore, competitive exclusion among species of these genera seems to act only on a microhabitat scale in the most dynamic shoreline areas.