Geographical and temporal distribution of hawkmoth (Lepidoptera: Sphingidae) species in Africa

Hawkmoths consist of species where most adults are nocturnal, but there are some day-flying genera. Hawkmoth species have a wide variety of life-history traits, comprising species with adults (mostly nectarivorous though with some exceptions, honey-feeding), but there are also species that do not feed at all. The nectarivorous species are an important component of tropical ecosystems, with significant roles as major pollinators of both crops and wild flora with the pollination done by the adult stage. Pollinators are in decline world-wide and there is need for baseline data to provide information about their conservation strategies. Species occurrence data from Museum collections have been shown to be of great value as a tool for prioritising conservation actions in Africa. The National Museums of Kenya (NMK) have a large and active entomology collection that is in continuous growth. The NMK’s collection of hawkmoths had not been digitised prior to 2017. This moth family Sphingidae includes about 1,602 species and 205 genera worldwide (Kitching et al. 2018) with the majority of these species occurring in Africa. These moth species can also be used as indicators in biodiversity assessments as they can be easily sampled and identified. However, hawkmoths have rarely been surveyed over the long term for this purpose. Long-term datasets are of unquestionable significance for understanding and monitoring temporal changes in biodiversity. These hawkmoth data have addressed one of the most significant challenges to insect conservation, the lack of baseline information concerning species diversity and distribution and have provided key historic hawkmoth species diversity and distribution data that can be used to monitor their populations in the face of climate change and other environmental degradation issues that are facing the world today. The publication of the hawkmoth species occurrence data records in GBIF has enhanced data visibility to a wider audience promoting availability for use.The hawkmoth (Lepidoptera: Sphingidae) collection at the National Museums of Kenya was digitised from 2017 – 2020 and this paper presents details of species occurrence records as in the insect collection at the NMK, Nairobi, Kenya.The collection holds 5,095 voucher specimens consisting of 88 genera and 208 species. The collection covers the period between 1904 and 2020.The geographical distribution of the hawkmoths housed at the NMK covers East Africa at 81.41%, West Africa at 7.20%, Southern Africa at 6.89%, Central Africa at 4.02% and North Africa at 0.2%

Swallowtail butterflies (Lepidoptera: Papilionidae) species diversity and distribution in Africa: The Papilionidae collection at the National Museums of Kenya, Nairobi, Kenya

Species data from the Museum collections have been shown to be of great value as a tool for prioritising conservation actions in Africa (Fjeldsa and Tushabe 2005). The National Museums of Kenya (NMK) have an entomology collection, housed in 4,000 drawers in cabinets that contain over 1.5 million specimens, including the largest butterfly collection in Africa (Arnett et al. 1997). Lampe and Striebing (2005) demonstrated how to digitise large insect collections in order to make their associated label data into databases that can be used for functions, such as creating distribution maps. The NMK's swallowtail butterflies' collection had not been digitised and thus there was a need to capture the label data to create a database that can be used for mapping the distribution of the species in Kenya and elsewhere. These data have addressed one of the most significant challenges to insect conservation i.e. the lack of baseline information concerning species diversity and distribution (Summerville and Crist 2003). These data have provided key historic papilionid species diversity and distribution data that can be used to monitor their populations, as butterflies are declining due to changes in land use, intensive agriculture and pestcide use, diseases and pest and climate change (Potts et al. 2016; Bongaarts 2019). The publication of the occurrence data records in GBIF has been undertaken, thus making the data available to a wider audience and promoting availability for use.The swallowtail butterflies collection at the National Museums of Kenya was digitised from 2017–2019 and this paper presents details of the Papilionid collection at the Zoology Department, NMK, Nairobi, Kenya.The collection holds 7,345 voucher specimens, consisting of three genera and 133 species. The collection covers the period between 1850 to 2019.The distribution of the swallowtail butterflies, housed at the NMK, covers East Africa with 88%, Central Africa (6%), Western Africa (4%) and Southern Africa (2%)

The status of flora and fauna in the Nzoia River drainage basin in western Kenya

The species richness of flora and fauna in the Nzoia River drainage basin is documented through a study of museum specimens,  catalogues and databases. The catchment area and basin covers 2.2% (12900/580367 km2) of Kenya’s total land area with an altitudinal range of 1140 to 4300 m and varied ecosystem and land uses. We recorded approximately 9.3% (3239/34677) of Kenya’s current known species of vascular plants, invertebrates (insects and spiders), fish, amphibians, reptiles, birds and mammals. Bird species made up the highest proportion 58.3% (650/1114) of the national total followed by amphibians 37.3% (41/110), reptiles 45.0% (86/191), mammals 31.3% (122/390), vascular plants 17.9% (1251/7000), fish 6.7% (58/872) (32.2% (58/180) for freshwater fish only) and invertebrates (insects and spiders) 4.1% (1031/25000). Ninety-five species recorded in this area are endemic to Kenya and 42 globally threatened. The species recorded contribute to several ecosystem services including pest control, pollination, bio-indicators, medicine and cosmetics, building materials, ecotourism, research and education. Data available differed substantially across counties and taxon groups with gaps apparent in five counties (Bungoma, Busia, Elgeyo Marakwet, Siaya and Usain Gishu) and four taxa plants, invertebrates, fungi and bacteria where a dearth of information exists. To fill these gaps we recommend prioritisng future survey effort on taxa and counties with fewer than 10% of the total numbers of records