Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island

Honeybees (Apis mellifera) are principal insect pollinators, whose worldwide distribution and abundance is known to largely depend on climatic conditions. However, the presence records dataset on potential distribution of honeybees in Indian Ocean Islands remain less documented. Presence records in shape format and probability of occurrence of honeybees with different temperature change scenarios is provided in this article across Zanzibar Island. Maximum entropy (Maxent) package was used to analyse the potential distribution of honeybees. The dataset provides information on the current and future distribution of the honey bees in Zanzibar Island. The dataset is of great importance for improving stakeholders understanding of the role of temperature change on the spatial distribution of honeybees.


a b s t r a c t
Honeybees (Apis mellifera) are principal insect pollinators, whose worldwide distribution and abundance is known to largely depend on climatic conditions. However, the presence records dataset on potential distribution of honeybees in Indian Ocean Islands remain less documented. Presence records in shape format and probability of occurrence of honeybees with different temperature change scenarios is provided in this article across Zanzibar Island. Maximum entropy (Maxent) package was used to analyse the potential distribution of honeybees. The dataset provides information on the current and future distribution of the honey bees in Zanzibar Island. The dataset is of great importance for improving stakeholders understanding of the role of temperature change on the spatial distribution of honeybees. &

Value of the data
The data provide information on the potential spatial distribution of honeybees in both Unguja and Pemba Islands in Zanzibar and which is accessible for reuse.
The data provide interesting and important information on future honeybee's distribution expansion in both Unguja and Pemba Islands in Zanzibar.
The data can be used for modeling the effect of climate change and land use/ cover on honeybee's distribution in Indian Ocean Islands, in particular Zanzibar Island.
The data can be useful for study genetic diversity of honeybees in Zanzibar Island. The data are important to different stakeholder include beekeeper communities, policy makers, international and local non-government organization engaged in apiculture intervention, researchers, scholars and academics.

Data
Fig . 1 shows the study areas and locations of the occurrence records of honeybees in Unguja Island (M) and Pemba Island (N). Fig. 2 shows an example of honeybee's data collection in a wild nest (G) and apiaries (H). Probability of occurrence for honeybees according to temperature conditions in Pemba and Unguja Islands is shown in Figs. 3 and 4, respectively. Under the current temperature conditions, the probability of occurrence shows that southern parts of Pemba have areas that are more suitable for honeybees than the northern parts in Pemba Island (Fig. 3A). In Unguja under current temperature conditions, the western parts and some parts of northern A and northern B of Unguja Island are more suitable compared to the southern and central parts (Fig. 4C). However, an area predicted as suitable does not mean that populations of the honeybee species will necessarily become successfully established there, but it is useful information for identifying areas of potential spread. The probability occurrence is predicted to decrease in both Islands in future by 2055 (Figs. 3B and 4D), probably due to temperature change that may cause further population decrease and extinctions of honeybees [1].

Experimental design, materials and methods
The dataset collected in this study is located in Zanzibar Island in Eastern and South Eastern coast of Africa [2]. The island is divided into two main islands namely; Unguja which is located between latitude 6°08´Sand longitude 39°20´E, and Pemba Island which lies between latitude 5°12′ S and longitude 39°43′E. Field survey were carried out to collect honeybees occurrence data in managed apiaries and wild nests across Zanzibar in both Unguja and Pemba Islands (Fig. 1). A simple random sampling approach was used in the selection of apiaries and wild honeybees colonies for inspection. At each locality, the geographical coordinates (longitude and latitude) and altitude were recorded using a global positioning system (GPS). In total, 80 records per Island were collected. Data were checked for geographic accuracy using on screen visual inspection approach. Temperature data required to develop potential spatial distribution models of honeybees were obtained from AFRICLIM database (htt://www.york.ac.uk) of the Representative Concentration Pathways Scenarios, Fifth Assessment Report (RCPs-AR5) [3]. Downscaling of the data was obtained from regional climate models (RCMs), and clipped down in ArcMap (Version 10.1) software to Unguja and Pemba Islands. The maximum entropy (Maxent) software version 3.3.3k [4] was used for modelling honeybees' spatial distribution. Models were calibrated using 75% of the records of honeybee's occurrence as training data, and the remaining 25% were used for validation.