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Towards predicting the potential distribution areas of phacochoerus Africanus (gmelin 1788) and potamochoerus porcus (linnaeus 1758) in Benin using specific model algorithms

XV World Forestry Congress, 2-6 May 2022











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    Journal article
    Prediction of distribution changes of carpinus laxiflora and C. tschonoskii based on climate change scenarios using MaxEnt model in the Republic of Korea
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Hornbeams (Carpinus spp.), which are widely distributed in South Korea, are recognized as one of the most abundant species at climax stage in the temperate forests. Although the distribution and vegetation structure of the C. laxiflora community have been reported, little ecological information of C. tschonoskii is available. Little effort was made to examine the distribution shift of these species under the future climate conditions. This study was conducted to predict potential shifts in the distribution of C. laxiflora and C. tschonoskii in 2050s and 2090s under the two sets of climate change scenarios, RCP4.5 and RCP8.5. The MaxEnt model was used to predict the spatial distribution of two species using the occurrence data derived from the 6th National Forest Inventory data as well as climate and topography data. It was found that the main factors for the distribution of C. laxiflora were elevation, temperature seasonality, and mean annual precipitation. The distribution of C. tschonoskii, was influenced by temperature seasonality, mean annual precipitation, and mean diurnal rang. It was projected that the total habitat area of the C. laxiflora could increase by 1.05% and 1.11% under RCP 4.5 and RCP 8.5 scenarios, respectively. It was also predicted that the distributional area of C. tschonoskii could expand under the future climate conditions. These results highlighted that the climate change would have considerable impact on the spatial distribution of C. laxiflora and C. tschonoskii. These also suggested that ecological information derived from climate change impact assessment study can be used to develop proper forest management practices in response to climate change. Keywords: Carpinus laxiflora, C. tschonoskii, Climate change, Distribution change, MaxEnt ID:3619140
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    Spatial distribution model of phragmanthera plant parasite in Rift Valley Ecoregion of Kenya
    XV World Forestry Congress, 2-6 May 2022
    2022
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    About 80% of Kenya’s land area has been classified as Arid and Semi-Arid, ASALs and experiences high temperatures and low erratic rainfall throughout the year. In the search for suitable tree species for agroforestry and landscape restoration in Kenyan ASALs two Meliaceae tree species, indigenous Melia volkensii (Geurke) and exotic Azadirachta indica (A. Juss.) were selected for further research. In Kenya, Botryosphaeriaceae has been reported on Grevillea robusta on-farm causing damage to the tree and in severe cases leads to mortality. Molecular identification of cultures used in the study based on rDNA of the ITS and Tef1-alpha gene regions for 86 isolates classified into 6 species of the Botryosphaeriaceae. 3 of the Botryosphaeriaceae species belonged to the genus Lasiodiplodia namely L. pseudotheobromae, L. theobromae and L. parva. This is the first report of species Spencermartinsia viticola and Macrophoma theicola in Kenya. Pathogenicity tests done under glasshouse conditions showed that the L. pseudotheobromae species was most virulent to both M. volkensii & A. indica while L. theobromae was least virulent to both tree species. Wilting & necrosis was recorded within 7 days of inoculation but wound healing occurred on both species after 12 weeks. This study gives insight into disease resistance and tolerance of these dryland species for plantation establishment. It also revealed wider host diversity for Botryosphaeriaceae in the drylands. Further research into the species disease resistance mechanisms and proper silvicultural treatments are a prerequisite for large scale planting of the two tree species in light of climate variation and ecosystem changes. The recommendations given in the study are being taken into account for commercial forestry ventures in the drylands and advisory services being provided for diseases control and management. Key words: Pathogenicity test, Phylogenetic analyses, Lesion measurement ID: 3623720
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    Article
    Journal article
    Spatial distribution model of phragmanthera plant parasite in Rift Valley Ecoregion of Kenya
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Genus Phragmanthera (Loranthaceae) family is in one of the families of mistletoes which are parasitic plants that solely depend on their hosts for nutrients and water once attached. The parasitism leads to wilting and drying up of the infested part and in cases of high infestation mortality of the tree affected. Members of the genus were observed to parasitize tree hosts in the Rift Valley ecoregion through a transect survey. The locations of the parasitic plant were recorded and used for Maximum Entropy (Maxent) modelling to determine environmental conditions making up the niche of the parasite and to develop suitability maps of the parasitic plant within Rift Valley ecoregion. 27 occurrence records representing 102 trees were correlated to the 19 Bioclimatic variables representing temperature and precipitation conditions globally. The species identified in this study is Phragmanthera cornetti (Dewevre) Polhill & Wiens with key host species being Cupressus sempevirens var. pyramidalis, Schinus molle and Jacaranda mimisifolia which are ornamental trees. Maximum Entropy software (Maxent) version 3.4 was used to determine the species suitability of Phragmanthera cornetti identifying Baringo, Nakuru, Uasin Gishu, Transnzoia and Elgeyo Marakwet as hot spots for infestation by the parasitic plant. Environmental variables weighed as most critical to Phragmanthera cornetti distribution in the sampled area were precipitation of coldest quarter, precipitation of driest month, Temperature seasonality, Isothermality and minimum temperature of coldest month. These variables were ranked using their individual contribution to the model (AUC=0.935) computed on MaxEnt correlating the occurrences to Bioclimatic variables. The identified counties within the predicted ranges of Phragmanthera cornetti infestation should begin using more resistant or less susceptible tree species for their tree growing programs. All infested trees and branches should be pruned for short term control of the spreading of Phragmanthera cornetti in the upcoming coldest quarter. Further studies into more effective control measures for the parasitic plants are being investigated for a more integrated approach. This includes use of selective herbicides and management by utilization. Key words: Species Distribution Modelling, Phragmanthera, Bioclimatic variables, ecological niche ID: 3623688

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