icipe Digital Repository

Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach

Show simple item record

dc.contributor.author Grace, Rebecca Aduvukha
dc.contributor.author Elfatih, M. Abdel-Rahman
dc.contributor.author Bester, Tawona Mudereri
dc.contributor.author Arthur, W. Sichang
dc.contributor.author Godfrey, Ouma Makokha
dc.contributor.author Michael, G.Lattorf
dc.contributor.author Samira, A. Mohamed
dc.contributor.author Tobias, Landmann
dc.contributor.author Henri, E. Z. Tonnang
dc.contributor.author Thomas, Dubois
dc.date.accessioned 2024-08-07T10:11:38Z
dc.date.available 2024-08-07T10:11:38Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/20.500.12562/2018
dc.description Publication en_US
dc.description.abstract Flower-visiting insects that are pollinators play a critical role in promoting biodiversity in agroecosystems and agricultural food production through their pollination ecosystem service. However, several factors affect the survival of these pollinators and flower visitors, including the heavy and indiscriminate application of agrochemicals to control crop insect pests, which is impacted by various cropping patterns in a landscape and by shifting environmental conditions. Thus, this study focused on investigating the influence of cropping patterns on the spatial distribution of pollinators (Apis mellifera, Hymenoptera other than A. mellifera, and Syrphidae), flower visitors (Calliphoridae), and pests, i.e. fruit fly (Bactrocera dorsalis) and false codling moth (Thaumatotibia leucotreta) of the avocado, a pollinator-dependent crop. Cropping patterns, earth observation data and relevant environmental variables were used as the predictor variables for modeling the potential distribution and abundance of avocado pollinators, flower visitors and pests in one of the leading regions in avocado production in Kandara, Maragua, and Gatanga sub-Counties in Murang’a County, Kenya. In specific, species distribution modeling (SDM) and species abundance modeling (SAM) techniques, i.e. the maximum entropy (MaxEnt) model (presence-only data) and negative binomial (NB) distribution in a generalized linear model (GLM) (abundance data) were used, respectively. Additionally, the spatial distribution probability of the co-occurrence of the pollinators, flower visitors and pests was also analyzed. This study revealed that cropping patterns was the most consistent influential predictor variables for the distribution of avocado pollinators, flower visitors and pests. A large area of Kandara and some parts of Maragua and Gatanga sub-Counties showed a high spatial distribution probability of the studied avocado pollinators, flower visitors and pests. However, only the majority of Kandara sub-County had a high spatial distribution probability score of the potential co-occurrence of the avocado pollinators, flower visitors and pests. Further, A. mellifera was the most abundant flower-visiting pollinator compared with the other studied pollinators, while B. dorsalis was the most abundant avocado pest compared with T. leucotreta. In addition, GLM analysis indicated that no environmental variable was significant in explaining the abundance of the studied avocado pollinators, whereas precipitation and elevation derivatives of aspect and hillshade were statistically significant (p ≤ 0.05) in explaining the abundance of B. dorsalis. Solar radiation was significant in explaining only the abundance of T. leucotreta. Our study revealed that SDM and SAM modeling outputs can be used to inform decision-making for the implementation of sustainable management efforts regarding pollinators, flower visitors, and insect pests. en_US
dc.description.sponsorship German Federal Ministry for Economic Cooperation and Development (BMZ), commissioned and administered through the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) International Agricultural Research (FIA) Norwegian Agency for Development Cooperation Section for Research, Innovation, and Higher Education Swedish International Development Cooperation Agency (Sida) Swiss Agency for Development and Cooperation (SDC) Australian Centre for International Agricultural Research (ACIAR) Norwegian Agency for Development Cooperation (Norad) German Federal Ministry for Economic Cooperation and Development (BMZ); en_US
dc.publisher GIScience & Remote Sensing en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Avocado en_US
dc.subject Kenya en_US
dc.subject Flower visitor en_US
dc.title Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach en_US
dc.type Article en_US


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States

Search icipe Repository


Advanced Search

Browse

My Account