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30 results on '"Ngarega, Boniface K."'

4. Predicting the potential impacts of climate change on the endangered endemic annonaceae species in east africa

Author

Mkala, Elijah Mbandi, Mwanzia, Virginia, Nzei, John, Oluoch, Wyclife Agumba, Ngarega, Boniface K., Wanga, Vincent Okello, Oulo, Milicent Akinyi, Mutie, Fedrick Munyao, Kilingo, Flory Mkangombe, Rono, Penninah, Waswa, Emmanuel Nyongesa, Mutinda, Elizabeth Syowai, Ochieng, Clintone Onyango, Mwachala, Geoffrey, Hu, Guang-Wan, Wang, Qing-Feng, Katunge, Jacinta Kaweze, and Victoire, Izabayo

Published
2023
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8. Projected impacts of climate change on the habitat of Xerophyta species in Africa

Author

Wanga, Vincent Okelo, primary, Ngarega, Boniface K., additional, Oulo, Millicent Akinyi, additional, Mkala, Elijah Mbandi, additional, Ngumbau, Veronicah Mutele, additional, Onjalalaina, Guy Eric, additional, Odago, Wyclif Ochieng, additional, Nanjala, Consolata, additional, Ochieng, Clintone Onyango, additional, Gichua, Moses Kirega, additional, Gituru, Robert Wahiti, additional, and Hu, Guang-Wan, additional

Published
2023
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10. Climate warming will affect the range dynamics of East Asian Meehaniaspecies: a maximum entropy approach

Author

Tiamiyu, Bashir B., Ngarega, Boniface K., Zhang, Xu, Zhang, Huajie, Li, Lijuan, Sun, Jiao, Deng, Tao, and Wang, Hengchang

Abstract

Global climate change is among the major anthropogenic factors impacting species distribution, with significant conservation implications. Yet, little is known about the effects of climate warming on the distributional shifts of East Asian species. In the current study, we used the maximum entropy model (MaxEnt) to determine present and possible future habitats for five Meehaniaspecies occurring in the East Asian region. Our objectives were to assess how climate change would influence the species’ habitat under current and future climate scenarios (Representative Concentration Pathways 4.5 and 8.5). The mean area under the curve ranged between 0.896 and 0.973, while the TSS values for all species varied between 0.811 and 0.891. The modelled current habitat of the species corresponded with the recorded distribution localities, confirming the model’s robustness. Analysis of variable contribution demonstrated that the distribution of the species had differential environmental requirements; however, isothermality, precipitation of driest month, and elevation variables were among the main influential variables. Based on present climatic conditions, the projected habitat suitability maps showed a total of 662,846.0 to 2,039,180.1 km2as suitable regions for the distribution of Meehaniaspecies. In addition, there was a substantial loss in habitat range under future climatic scenarios for all the species. While the East Asian region is rich in biodiversity, more attention should be given to its management conservation. The current findings provide a scientific foundation for the conservation of Meehaniaand other species’ habitats in the region.

Published
2024
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17. How vulnerable are holoparasitic plants with obligate hosts to negative climate change impacts?

Author

Mkala, Elijah Mbandi, primary, Jost, Matthias, additional, Wanke, Stefan, additional, Ngarega, Boniface K., additional, Hughes, Alice, additional, Mutinda, Elizabeth Syowai, additional, Waswa, Emmanuel Nyongesa, additional, Mwanzia, Virginia Mutheu, additional, Oulo, Milicent Akinyi, additional, Wanga, Vincent Okelo, additional, Ngumbau, Veronica Mutele, additional, Mwachala, Geoffrey, additional, Hu, Guang-Wan, additional, and Wang, Qing-Feng, additional

Published
2022
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28. Additional file 2 of The level of genetic diversity and differentiation of tropical lotus, Nelumbo nucifera Gaertn. (Nelumbonaceae) from Australia, India, and Thailand

Author

Yeshitila Mekbib, Shi-Xu Huang, Ngarega, Boniface K., Li, Zhi-Zhong, Shi, Tao, Ke-Fang Ou, Liang, Yu-Ting, Chen, Jin-Ming, and Yang, Xing-Yu

Subjects
Quantitative Biology::Populations and Evolution, Quantitative Biology::Genomics
Abstract

Additional file 2: Table S2. Pairwise fixation index (FST) values between populations of tropical N. nucifera (below diagonal), and Nei genetic distance (above diagonal).

Published
2020
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30. Application of MaxEnt modeling to evaluate the climate change effects on the geographic distribution of Lippia javanica (Burm.f.) Spreng in Africa.

Author

Ngarega BK, Chaibva P, Masocha VF, Saina JK, Khine PK, and Schneider H

Subjects
Humans, Environmental Monitoring, Africa, Ecosystem, Plants, Climate Change, Lippia
Abstract

Lippia javanica is a typical indigenous plant species mostly found in the higher elevation or mountainous regions in southern, central, and eastern Africa. The ongoing utilization of the species for ethnobotanical applications and traditional uses, coupled with the changing climate, increases the risk of a potential reduction in its geographic distribution range in the region. Herein, we utilized the MaxEnt species distribution modelling to build the L. javanica distribution models in tropical and subtropical African regions for current and future climates. The MaxEnt models were calibrated and fitted using 286 occurrence records and six environmental variables. Temperatures, including temperature seasonality [Bio 4] and the maximum temperature of the warmest month [Bio 5], were observed to be the most significant determinants of L. javanica's distribution. The current projected range for L. javanica was estimated to be 2,118,457 km 2 . Future model predictions indicated that L. javanica may increase its geographic distribution in western areas of the continent and regions around the equator; however, much of the geographic range in southern Africa may shift southwards, causing the species to lose portions of the northern limits of the habitat range. These current findings can help increase the conservation of L. javanica and other species and combat localized species loss induced by climate change and human pressure. We also emphasize the importance of more investigations and enhanced surveillance of traditionally used plant species in regions that are acutely susceptible to climate change., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Published
2023
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