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Ecological determinants and risk areas ofStriga hermonthicainfestation in western Kenya under changing climate

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dc.contributor.author Kimathi, Emily
dc.contributor.author Abdel-Rahman, Elfatih M.
dc.contributor.author Lukhoba, Catherine
dc.contributor.author Ndambi, Asaah
dc.contributor.author Mudereri, Bester Tawona
dc.contributor.author Saliou, Niassy
dc.contributor.author Tonnang, Henri E. Z.
dc.contributor.author Landmann, Tobias
dc.date.accessioned 2023-06-11T13:20:21Z
dc.date.available 2023-06-11T13:20:21Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/20.500.12562/1835
dc.description publication en_US
dc.description.abstract Striga hermonthica(Del.) Benth is a parasitic weed that is damaging major cereal cropsin sub-Saharan Africa (SSA). AlthoughStrigais recognised as an agricultural scourge,there is limited information available indicating the extent of its growth and spread asimpacted by the changing climate in Kenya. This study investigated the impact of cur-rent climate conditions and projected future (2050) climate change on the infestationofStriga hermonthicain the western Kenya region. Specifically, the study aimed topredictStriga hermonthicahabitat suitability in five counties in the western Kenyaregion through using the maximum entropy (MaxEnt) model and bioclimatic, soil,topographic and land use, and land cover (LULC) variables.Striga hermonthicageolo-cations were collected and collated and ecological niche models were developed todetermine the habitat suitability. The results showed that approximately 1767 km2(10% of the total study area) is currently highly suitable forStriga hermonthicaoccur-rence. The future projections showed a range between 2106 km2(19% of the totalstudy area) and 2712 km2(53% of the total study area) at the minimum carbon(RCP 2.6) and the maximum carbon emission scenarios (RCP 8.5) respectively. Eleva-tion, annual precipitation, LULC, temperature seasonality and soil type were deter-mined to be the most influential ecological predictor variables forStriga hermonthicaestablishment. The study revealed the importance of using climate, soil, topographicand LULC variables when evaluating agricultural production constraints such asStri-ga's prevalence. The methodology used in this study should be tested in otherStrigaaffected areas en_US
dc.description.sponsorship Biovision Foundation for EcologicalDevelopment Swedish InternationalDevelopment Cooperation Agency SwissAgency for Development and Cooperation Federal Democratic Republic of Ethiopia Government of the Republic of Kenya en_US
dc.publisher Weed Research 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 agriculture productivity en_US
dc.subject ecological niche models en_US
dc.subject food security en_US
dc.subject maize en_US
dc.subject maximum entropy en_US
dc.subject weedinfestation en_US
dc.title Ecological determinants and risk areas ofStriga hermonthicainfestation in western Kenya under changing climate en_US
dc.type Article en_US


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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

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