Terrestrial carbon stock quantifying is important for the successful implementation of climate change mitigation policies. With the rapid global urbanization rate urban forests are becoming important components of the global forest ecosystem. Urban development strongly associated with a disturbance of habitats such as urban parks. Most of the urban vegetation resources in Addis Ababa were not based on scientific evidence.


Dry Afromontane forests form the largest part of the existing natural vegetation in Ethiopia. Nevertheless, models for quantifying aboveground biomass (AGB) and the volume of this forest are rare. The development of tree allometric models is crucial for accurate forest tree volume, biomass, and carbon assessment in the forest ecosystem. The objective of this study was to develop species-specific models for predicting AGB and tree volume of the Olea europaea L.sub spp. Cuspidata in the Harego forest. A total of 15 sample trees were harvested and their biometric variables and biomass were measured. A set of models relating tree component volume and biomass to measured variables and wood density were developed using linear regression analysis.


LULCC is the result of the long-time process of natural and anthropogenic activities that have been practiced on the land. The study intended to carry out the rate of land use /land cover changes, trends, and their magnitude over the last 30 years (1988-2018), its driving forces, and simulation for the coming ten years (2028) using remote sensing and GIS.


In Ethiopia, the population number was increasing continuously with agricultural land expansion for the last five decades. In this regard, it is essential to study the history of land-use/land-cover dynamics to make reliable and adequate information for future planning and management by using advanced technologies.

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National Measuring, Reporting and Verification Capacity Building Towards Climate Resilient Development in Ethiopia.

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