The use of multisource spatial data for determining the proliferation of stingless bees in Kenya

The use of multisource spatial data for determining the proliferation of stingless bees in Kenya

Stingless/meliponine bees are eusocial insects whose polylactic nature enables interaction with a wide variety of wild plants and crops that enhance pollination and, hence, support ecosystem services. However, their true potential regarding pollination services and honey production is yet to be full...

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Bibliographic Details
Main Authors: David Masereti Makori, Elfatih M. Abdel-Rahman, Nelly Ndungu, John Odindi, Onisimo Mutanga, Tobias Landmann, Henri E. Z. Tonnang, Nkoba Kiatoko
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:GIScience & Remote Sensing
Subjects:
stingless bees
climate change
vegetation phenology
artificial intelligence
machine learning
species distribution modeling (sdm)
Online Access:http://dx.doi.org/10.1080/15481603.2022.2049536

Internet

http://dx.doi.org/10.1080/15481603.2022.2049536

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