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...

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Main Authors: Sizah Mwalusepo, Eliud Muli, Kiatoko Nkoba, Everlyn Nguku, Joseph Kilonzo, Elfatih M. Abdel-Rahman, Tobias Landmann, Asha Fakih, Suresh Raina
Format: Article
Language:English
Published: Elsevier 2017-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340917304018
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spelling doaj-d8d1093a59bc4540b30fe23a12c616702020-11-25T01:11:09ZengElsevierData in Brief2352-34092017-10-0114C66567010.1016/j.dib.2017.08.024Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar IslandSizah Mwalusepo0Eliud Muli1Kiatoko Nkoba2Everlyn Nguku3Joseph Kilonzo4Elfatih M. Abdel-Rahman5Tobias Landmann6Asha Fakih7Suresh Raina8icipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenyaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, KenyaAgricultural Sector Development Programme, P.O.Box 159, Zanzibar, Tanzaniaicipe-African Insect Science for Food and Health, P.O. Box 30772, Nairobi, KenyaHoneybees (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.http://www.sciencedirect.com/science/article/pii/S2352340917304018HoneybeesEcological modelingSpatial distributionZanzibar Island
collection DOAJ
language English
format Article
sources DOAJ
author Sizah Mwalusepo
Eliud Muli
Kiatoko Nkoba
Everlyn Nguku
Joseph Kilonzo
Elfatih M. Abdel-Rahman
Tobias Landmann
Asha Fakih
Suresh Raina
spellingShingle Sizah Mwalusepo
Eliud Muli
Kiatoko Nkoba
Everlyn Nguku
Joseph Kilonzo
Elfatih M. Abdel-Rahman
Tobias Landmann
Asha Fakih
Suresh Raina
Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
Data in Brief
Honeybees
Ecological modeling
Spatial distribution
Zanzibar Island
author_facet Sizah Mwalusepo
Eliud Muli
Kiatoko Nkoba
Everlyn Nguku
Joseph Kilonzo
Elfatih M. Abdel-Rahman
Tobias Landmann
Asha Fakih
Suresh Raina
author_sort Sizah Mwalusepo
title Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
title_short Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
title_full Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
title_fullStr Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
title_full_unstemmed Potential distribution dataset of honeybees in Indian Ocean Islands: Case study of Zanzibar Island
title_sort potential distribution dataset of honeybees in indian ocean islands: case study of zanzibar island
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2017-10-01
description 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.
topic Honeybees
Ecological modeling
Spatial distribution
Zanzibar Island
url http://www.sciencedirect.com/science/article/pii/S2352340917304018
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