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Modeling effects of abiotic factors on the abundances of eight woody species in the Harana forest using artificial networks,random forest,and generalized linear models

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Ecological Processes 2023年第1期12卷 151-164页

作者： Girma Ayele Bedane Gudina Legese Feyisa feyera senbeta Wakjira Center for Environmental Science College of Computational and Natural ScienceAddis Ababa UniversityP.O.Box 1176Addis AbabaEthiopia Centre for Environment and Development College of Development StudiesAddis Ababa UniversityAddis AbabaEthiopia

Background Abiotic factors exert different impacts on the abundance of individual tree species in the forest but little has been known about the impact of abiotic factors on the individual plant,particularly,in a tropical *** study identified the impact of abiotic factors on the abundances of Podocarpus falcatus,Croton macrostachyus,Celtis africana,Syzygium guineense,Olea capensis,Diospyros abyssinica,Feliucium decipenses,and Coffea arabica.A systematic sample design was used in the Harana forest,where 1122 plots were established to collect the abundance of *** forest(RF),artificial neural network(ANN),and generalized linear model(GLM)models were used to examine the impacts of topographic,climatic,and edaphic factors on the log abundances of woody *** RF model was used to predict the spatial distribution maps of the log abundances of each *** The RF model achieved a better prediction accuracy with R^(2)=71%and a mean squared error(MSE)of 0.28 for Feliucium *** RF model differentiated elevation,temperature,precipitation,clay,and potassium were the top variables that influenced the abundance of *** ANN model showed that elevation induced a nega-tive impact on the log abundances of all woody *** GLM model reaffirmed the negative impact of elevation on all woody species except the log abundances of Syzygium guineense and Olea *** ANN model indicated that soil organic matter(SOM)could positively affect the log abundances of all woody *** GLM showed a similar positive impact of SOM,except for a negative impact on the log abundance of Celtis africana at p<*** spatial distributions of the log abundances of Coffee arabica,Filicium decipenses,and Celtis africana were confined to the eastern parts,while the log abundance of Olea capensis was limited to the western *** The impacts of abiotic factors on the abundance of woody species may vary with *** ecological underst

关键词： Species distribution model Random forest Artificial neural network Generalized linear model Species abundance Woody species Environmental variable

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Spatial distribution of above ground carbondensity in Harana Forest,Ethiopia

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Ecological Processes 2022年第1期11卷 14-26页

作者： Girma Ayele Bedane Gudina Legese Feyisa feyera senbeta Center for Environmental Science College of Computational and Natural ScienceAddis Ababa UniversityP.O.Box No.1176Addis AbabaEthiopia Centre for Environment and Development College of Development StudiesAddis Ababa UniversityAddis AbabaEthiopia

Background:The need for understanding spatial distribution of forest aboveground carbon density(ACD)hasincreased to improve management practices of forest *** study examined spatial distribution of theACD in the Harana Forest.A grid sampling technique was employed and three nested circular plots were establishedat each point where grids ***-related data were collected from 1122 plots while the ACD of each plotwas estimated using the established allometric *** variables in raster format were downloadedfrom open sources and resampled into a spatial resolution of 30 *** statistics were computed to summarize the ACD.A Random Forest classification model in the R-software package was used to select strong predictors,and to predict the spatial distribution of ***:The mean ACD was estimated at 131.505 ton per ha in this study *** spatial prediction showed thatthe high class of the ACD was confined to eastern and southwest parts of the Harana *** Moran’s statisticsdepicted similar observations showing the higher clustering of ACD in the eastern and southern parts of the *** higher ACD clustering was linked with the higher species richness,species diversity,tree density,tree height,clay content,and ***,the lower ACD clustering in the Harana Forest was associated with higher soilcation exchange capacity,silt content,and ***:The spatial distribution of ACD in this study area was mainly influenced by attributes of the forest standand edaphic factors in comparison to topographic and climatic *** findings could provide basis for bettermanagement and conservation of aboveground carbon storage in the Harana Forest,which may contribute to Ethiopia’s strategy of reducing carbon emission.

关键词： Aboveground carbon density Spatial modeling Prediction Random Forest Cluster Pattern

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