Abstract Cabdio morar (Hamilton, 1822), an important small indigenous fish of the Brahmaputra River, plays a significant role in small-scale fisheries, yet data on its demographic parameters remain limited. The present study examined the growth, mortality, and exploitation status of C. morar using length–frequency data collected from two major fish landing sites along the Brahmaputra River between October 2024 and September 2025. A total of 648 specimens, ranging from 43 to 144 mm in total length, were analysed. Growth parameters estimated using the von Bertalanffy Growth function indicated an asymptotic length (L∞) of 152.7 mm and a growth coefficient (K) of 0.83 yr −1 . Mortality estimates indicated nearly equal natural mortality (M = 1.47 yr −1 ) and fishing mortality (F = 1.44 yr −1 ), resulting in a current exploitation rate (E curr = 0.49), which was below the estimated maximum exploitation rate (E max = 0.66). Length-structured virtual population analysis indicated that fishing mortality was concentrated mainly in intermediate- to larger-size classes represented in the landings. Overall, the findings suggest that C. morar in the sampled sector of the Brahmaputra River is under moderate exploitation. However, these landing-based results should not be generalised as a river-wide stock assessment without further stratified sampling and fishery-independent surveys.
Abstract The spread of zoonotic diseases jeopardizes public health and wildlife conservation. Environmental, edaphic, and biological factors influence parasite intensity, thereby impacting zoonotic disease transmission. This study investigated the impact of rainfall, year, parasite type, and troops on the intensity of gastrointestinal parasites in Chacma baboons at Epoch Mine Campus, Gwanda State University, located in Filabusi, Insiza District. Data were collected in 2023 and 2024. A number of linear mixed-effects models were constructed to evaluate the factors influencing gastrointestinal parasite intensity in baboons. The analysis revealed two notable interaction effects regarding parasite intensity. The interaction between year and parasite type showed a substantial increase in parasite intensity in 2023 and 2024 (Estimate = 169.80, p < 0.001), even after controlling for rainfall factors. In contrast, lagged models showed no significant improvement, with a difference in the Akaike Information Criterion ( Δ AIC) of less than 0.15. It is concluded that rainfall, year, and parasite type may influence the intensity of gastrointestinal parasites, but rainfall effects vary across parasites.
Abstract Global warming may increase the extinction risk of endemic and endangered species. We aimed to predict the potential distribution area of an endemic and endangered conifer species in Vietnam under climate change using the MaxEnt model. The model performance in predicting species distribution was very high (AUC > 0.9). Among the environmental variables, elevation (34.9% of permutation importance), precipitation of the wettest month (32%), and precipitation of the coldest quarter (24.1%) were the most important predictors of conifer species distribution. The currently suitable habitat of Pinus krempfii covers 11,000 km2, mainly in the northeastern region of Lam Dong province and in adjacent areas of Khanh Hoa, Ninh Thuan, and Dak Lak provinces. However, the species’ suitable habitats are predicted to shift and shrink significantly under climate change scenarios, increasing the species’ extinction risk. P. krempfii is likely to move to higher elevations under future climate conditions. The results of this study provide vital information for the conservation and management of endemic and endangered species in Vietnam in the context of climate change.
