Articles

Impacts of climate variability on the spatio-temporal dynamics of plant formations in the forest-savannah transition zone: the case of the Lamto Scientific Reserve, Central Côte d’Ivoire

Understanding climatic variability’s effects on land and biodiversity is vital for guiding sustainability, conservation, and climate impact predictions in fragile ecosystems like Côte d’Ivoire’s forest-savanna transition zone. This study aims to analyse the impact of climate variability on the spatio-temporal dynamics of land use in the Lamto Scientific Reserve. To do this, a set of monthly climate data covering the period from 1990 to 2022 was used, including indicators such as rainfall, maximum, minimum and average temperatures, drought and standardised rainfall indices. The study also involved the classification of Landsat images dating from 1990, 2002, 2012 and 2022, enabling changes in land use to be observed. The corresponding areas were correlated with the climatic variables using a Spearman correlation test. The results show a transition from savannah to denser tree cover in the reserve. In addition, an increase in rainfall, varying between 900 and 1687 mm, suggests that Lamto could be classified as a humid region. The analysis highlights the complex interactions between climate change, particularly high temperatures, and land-use dynamics. Gallery and semi-deciduous forests show resilience in the face of rising temperatures, favouring their expansion. On the other hand, pre-forest formations, such as open forests and wooded savannahs, are more affected by these temperatures, which hinders their development. Tree savannahs also show a certain resilience, while shrub savannahs and bare land are often associated with ecological degradation processes in response to high temperatures. Finally, although rainfall plays a role, its influence seems minor, suggesting that other environmental or climatic factors, such as watercourses or microclimate, play a more significant role in land use/land cover dynamics.

White-rumped Vulture’s Distribution in Relation to the Landscape Factors in Arunachal Pradesh, India

Avian distribution over the globe is normally influenced by many environmental factors including landscape factors. The present study was undertaken to evaluate the influence of landscape factors like elevation, vegetation, and land covers on occurrence of White-rumped Vultures in Arunachal Pradesh. The occurrence and abundance data were obtained following road count and point count methods from 2016 to 2020. The digital elevation model and normalized difference vegetation index data were obtained from the USGS database. The land-use land-cover data was obtained from the ESRI database. To evaluate the correlation between the WRV distribution and prevailing landscape factors spearman ranked correlation was used. Our correlation analysis showed highly negative correlation between elevation and WRV distribution (rs = -0.77, n=53, p <0.0001), moderately negative correlation between NDVI11 and WRV distribution (rs = -0.57, n=53, p <0.0001), moderately negative correlation between NDVI02 and WRV (rs = -0.56, n=53, p <0.0001), and moderately negative correlation between NDVI06 and WRV distribution (rs = -0.62, n=53, p <0.0001). In case of land-use land-covers, WRV was found most abundant in shrubs/ scrubs followed by croplands, barren areas, areas with trees, built areas, grasslands, and areas with waterbody. According to the present study, WRVs prefer habitats with lower elevation, lower NDVI values, and open areas with scattered vegetation, particularly trees. These findings provide more insight into the habitat requirements of WRV, which is significant information for conservation of WRV.