Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
| Autor: | Tobias Landmann, Sizah Mwalusepo, Everlyn Nguku, Kiatoko Nkoba, Elliud Muli, Asha Fakih, Elfatih M. Abdel-Rahman, Joseph Kilonzo, Suresh K. Raina |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
0301 basic medicine Distribution (economics) Spatial distribution lcsh:Computer applications to medicine. Medical informatics 010603 evolutionary biology 01 natural sciences Honeybees 03 medical and health sciences Ecosystem model Abundance (ecology) Pollinator Ecological modeling lcsh:Science (General) Multidisciplinary business.industry Ecology Principle of maximum entropy Indian ocean 030104 developmental biology Geography Habitat Environmental Science lcsh:R858-859.7 business Zanzibar Island lcsh:Q1-390 |
| Zdroj: | Data in Brief Data in Brief, Vol 14, Iss C, Pp 665-670 (2017) |
| ISSN: | 2352-3409 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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