WhatsApp and Tiktok were the most frequently used social media platforms in Kenya, according to a survey conducted as of January 2024. Around ** to ** percent of respondents mentioned each channel. Around **** percent and **** percent reported using Meta's Facebook and Instagram, respectively. Kenya's soaring social media landscape In January 2023, Kenya had a social media user base of **** million, ranking as the third largest within the observed timeframe. This marked a ********* increase in social media users compared to the figures recorded in 2014. A majority of people in the country used social media to keep in touch with their loved ones or to read news stories, with both categories having a share of ** percent and upwards. Digital Dominance in Kenya The websites with the highest traffic in Kenya were Google with *** million visitors in 2022, whereas YouTube had *** million visitors. The distribution of these visitors shows that the majority of Kenyan people use their mobile phones to connect to the World Wide Web.

Landscape fragmentation and habitat loss at multiple scales directly affect species abundance, diversity and their productivity. There is a paucity of information about the effect of the landscape structure and diversity on honeybee colony strength in Africa. Here, we present new insights into the relationship between landscape metrics such as patch size, shape, connectivity, composition and configuration and honeybee (Apis mellifera) colony strength characteristics. Remote sensing-based landscape variables were linked to honeybee colony strength variables in a typical highly fragmented small holder agro-ecological region in Kenya. We examined colonies in six sites with varying degrees of land degradation, during the period from 2017 to 2018. Landscape structure was first mapped using medium resolution bi-temporal Sentinel-1 and Sentinel-2 satellite imagery with an optimized random forest model. The influence of the surrounding landscape matrix was then constrained to two buffer distanc...

Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.