Biology subjects

Bas, Y.

Publications and source records attributed to Bas, Y..

4 recordsLinked to original sources

bioRxiv2025

Listen, who is it? A novel method for studying the nightly and annual phenologies of cave bat communities in data deficient areas of the world.

ContextBats are the only mammals who have conquered the skies and the leading mammals in terms of total biomass with the exception of humans and domestic mammals. However, the ecology of many bat species is still unknown, especially in poorly sampled regions such as Central Africa. AimsWe present the first application of an acoustic method for studying the nocturnal activity patterns and annual phenology of bat activity of cave bat communities in regions where no bat acoustic classifier exists. MethodsIn two caves (Mont Belo and Boundou) in the Republic of Congo, which are home to several species of insectivorous bats throughout the year, we set up a passive acoustic monitoring (PAM) over a period of 19 months. To identify the massive recordings collected, we used a sonotype classifier. To assign a species name or species group to the different sonotypes identified by the classifier, we collected local reference calls by capturing bats at the cave entrances. This enabled us to identify two bat groups and three species despite the absence of local call libraries. The capture sessions also allowed us to collect information about the reproductive condition of the individuals, which we interpreted in relation to the annual phenology of bat activity. To quantify bat activity, we defined the activity of each acoustic group as the number of bat passes, where a bat pass corresponds to the detection of one or several echolocation calls within a five-second interval. This standardized measure allowed us to quantify nightly and seasonal variations in activity. Key resultsThe nightly activity displayed strong peaks in the evening and the morning, except during the long rainy season, when a tri- or quadri-modal activity was detected. This more evenly distributed activity throughout the night is related to the period of juvenile rearing (gestation, parturition and lactation). For all acoustic groups, we also observed a higher activity during the rainy seasons and the short dry season, compared to the long dry season. This high activity is linked to the lactation period, the independence of young bats and potentially the mating period. Finally, the reproductive activity of insectivorous bat species is synchronized with the period of high resource availability. ConclusionThis study represents the first long-term acoustic monitoring of cave bats in the Republic of Congo. This was allowed by the use of a classifier built without any pre-existing regional call data, highlighting a practical pathway for studying bat activity in other data-deficient regions. ImplicationsInformation about the biological status of individuals captured at the monitored caves in association with the cave annual activity phenology produced with this method are key to progress in the understanding of the ecology and the conservation issues of cave bat communities, which are particularly threatened globally.

ecology↗

bioRxiv2024

Coupling renewable energy infrastructure planning and biodiversity conservation: a modeling-based framework

Reconciling renewable energy planning and biodiversity conservation is urgently needed to address the interconnected crises of climate change and biodiversity loss. However, current strategies to avoid or limit the negative effects of renewable energy on biodiversity still hold major limitations during the planning process that could be overcome with modeling approaches. Here we propose a new applied modeling-based framework aiming to determine potential threats posed by proposed or built projects to biodiversity. By capitalizing on large-scale standardized citizen science biodiversity data to create reference scales of biodiversity levels, this approach aims to better inform the Ecological Impact Assessment (EIA) process at different stages pre- and post-project construction. We demonstrate the practical application of the framework using bat and onshore wind energy development in France as a case study. We reveal that current approaches in renewable energy planning failed to identify sites of biodiversity significance with >90% of wind turbines approved for construction to be placed in sites of high significance for bats. The risks posed by future wind turbines to bats concern all taxa (that are all protected in the European Union), including species with higher collision risks. We highlight how the proposed modeling-based framework could contribute to a more objective evaluation of pre- and post-construction impacts on biodiversity and become a prevalent component of the EIA decision-making. Its implementation could lead to a more biodiversity-friendly renewable energy planning in accordance with the world-leading target to halt biodiversity decline by 2030.

ecology↗

bioRxiv2024

Impact of juglone on oral carcinogenesis induced by 4-nitroquinoline-1-oxide (4NQO) in rat model

In this study, the potential effects of juglone, also known as PIN1 inhibitor, on oral cancer and carcinogenesis were investigated at the molecular level. 4-Nitroquinoline N-oxide (4-NQO) was used to create an oral cancer model on animals. Wistar rats were divided into five groups; Control, NQO, Juglone, NQO+J, and NQO+J*. The tongue tissues of the rats were isolated after the experiment, morphological changes were investigated by histological examinations, and the molecular apoptotic process was investigated by rt-qPCR and Western blot. Histological results indicate that tumors are formed in the tongue tissue with 4-NQO, and juglone treatment largely corrects the epithelial changes that developed with 4-NQO. It has been determined that apoptotic factors p53, Bax, and caspases are induced by the effect of juglone, while antiapoptotic factors such as Bcl-2 are suppressed. However, it was observed that the positive effects were more pronounced in rats given juglone together with 4-NQO. The use of PIN1 inhibitors such as juglone in place of existing therapeutic approaches might be a promising and novel approach to the preservation and treatment of oral cancer and carcinogenesis. However, further research is required to investigate the practical application of such inhibitors.

pharmacology and toxicology↗

bioRxiv2020

Influence of local landscape and time of year on bat-road collision risks

Roads impact bat populations through habitat loss and collisions. High quality habitats particularly increase bat mortalities on roads, yet many questions remain concerning how local landscape features may influence bat behaviour and lead to high collision risks (e.g. influence of distance to trees, or of vegetation density). When comparing the potential danger of different road sections, the most popular method today is the use of simple bat detectors to assess the local densities of current populations at road sites. Yet, it is not known to which extent bat behaviour influences collisions (i.e. bats flying at vehicle height or on the side or above, co-occurrence of bats and vehicles). Behaviour is very rarely taken into account in practice, and this might lead to hazardous site selections for mitigation. Our goals were thus (i) to estimate how local landscape characteristics affect each of the conditional events leading to collisions (i.e. bat presence, flight in the zone at collision risk and bat-vehicle co-occurrence), and (ii) to determine which of the conditional events most contributed to collisions risks. In this study, we recorded bat activity and characterised flight behaviour with three variables: position at collision risk, bat-vehicle co-occurrence, and flight path orientation, using acoustic flight path tracking at 66 study sites in the Mediterranean region for two to five full nights. We modelled the effect of the local landscape, i.e. in a radius of 30 m around the road (vegetation height, distance, density and orientation), road features (road width, traffic volume) and the time of year on eleven species or species groups. We built models for each conditional probability of the road collision risk (i.e. species density, presence in the zone at risk, bat-vehicle co-occurrence) and multiplied their estimates to calculate the overall collision risk. Our results show that the local landscape had different effects on bat density and presence in the zone at collision risk. Increasing distance to trees and decreasing tree height were associated with a decrease in bat density at roads. Forests were the local landscapes where bats flew more often in the zone at collision risk. The overall collision risk was higher either in forests or at tree rows perpendicular to the road depending on species. Contrary to common preconceptions, mid-range echolocators seemed to be generally more at risk of collision than short-range or long-range echolocators. In addition, collision risk was greatest in summer or autumn for most species. Finally, bats mainly followed the road axis regardless of the type of landscape. Our results contribute to a better understanding of bat movements in different local environments at the scale where they directly sense their surroundings with echolocation calls. Disentangling bat density from flight behaviour allowed us to better understand the temporal and spatial contributors of roadkills, and to provide guidance for road impact assessment studies.

ecology↗