Abbadi Reda - Academia.edu (original) (raw)
Phone: +251-914-733075
Address: Tigray Agri. Research Institute, Mekelle, Ethiopia
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Ethiopia is expected to be hardest hit by climate change; to which agriculture is the most vulner... more Ethiopia is expected to be hardest hit by climate change; to which agriculture is the most vulnerable. Point analysis of climate data for one of the semi arid areas (Mekelle, Northern Ethiopia) for the period of 1980-2010 showed that minimum temperature for the months of October through January had an increasing trend while maximum temperature for the hot season (AprilJune) and annual rainfall had no significant trend and were inconsistent. Raster climate data including maximum temperature for warm season (AprilJune), cold season (OctoberJanuary) and rainfall for the rainy season (JuneSeptember) for the years 1946 and 2006 were extracted from Climate Research Unit (CRU) Geospatial Raster Data Portal for Ethiopia. The change detection is unidirectional trend analysis between two time periods of 1946 and 2006. Temperature shows increasing trend but rainfall shows fluctuation. RegionSpecific detailed and seasonal climate studies are needed and to be integrated with local context of agr...
Journal of Earth Science & Climatic Change, 2013
Open Science Repository Agriculture, Apr 12, 2014
Climate variability and landuse change are interlinked. This study deals with assessment of the i... more Climate variability and landuse change are interlinked. This study deals with assessment of the impact of climate variability on agricultural land use change (agricultural area and yield) through statistical modeling in Ping Basin. The period for agricultural area change covers between 1990 and 2009 while yield is analysed under current (1981-2009) and future scenarios (2011-59). There was significant correlation between climate variables and agricultural area in Middle Ping, Lower Ping, and Ping Basin but no significant correlation in Upper Ping. Statistical modeling to quantify impact of climate variability on agricultural landuse area change showed that there was significant change (R=0.46, R 2 =21.1%, P=0.041) in agricultural landuse area between 1990 and 2009 in Ping Basin. Future projected climate variability will favour rice production with significant increasing yield trend. Rice yield projected at 5-year interval shows sharp increment (R 2 =0.91) with drastic rise through t...
Annals of Reviews & Research
Carbon sequestration projects in Africa have the potential to provide increased investments for p... more Carbon sequestration projects in Africa have the potential to provide increased investments for poverty alleviation. Potential benefits include sustainable development, biodiversity conservation, and ecological restoration. The Kyoto Protocol’s Clean Development Mechanism (CDM) recognizes carbon sequestration through forestry as a way to mitigate global warming and also allows industrialized countries to offset their carbon emissions by investing in forestry projects in developing countries UNFCCC (2003). In addition, many private organizations are voluntarily promoting carbon sequestration projects to reduce their carbon emissions. Carbon sequestration projects present mutual benefits for environmental conservation
Asian Journal of Agriculture and Food Sciences, 2017
Maize is the main food crop in the hilly areas of Nepal. A Comparative Performance Analysis (CPA)... more Maize is the main food crop in the hilly areas of Nepal. A Comparative Performance Analysis (CPA) study was undertaken to identify maize yield constraints and quantify their impacts on yield in Makuwanpur District (Central (Nepal). For 68 fields, yield ranged from 200 to 4900 kg/ha with a mean of 2020kg/ha, and a standard deviation of 1120kg/ha. Data on land and management aspects were collected during a field survey. Data acquisition methods included direct measurement/observation of biophysical aspects (recorded on relevee sheet), interviews of land users, visit to a nearby research station and extension offices. The dataset included land and management parameters. The production model identified a terrain unit (Upland plateau & Highland hills versus all others), a management parameter (Quantity of applied urea) and lodging as the three major yield constraints that explained 65% of the encountered yield variability. The impact of each identified constraint on yield (yield-gap of 1...
International Journal of Environmental Sciences & Natural Resources, Aug 10, 2017
International Journal of Environmental Sciences & Natural Resources, Oct 27, 2017
Ethiopia is expected to be hardest hit by climate change; to which agriculture is the most vulner... more Ethiopia is expected to be hardest hit by climate change; to which agriculture is the most vulnerable. Point analysis of climate data for one of the semi arid areas (Mekelle, Northern Ethiopia) for the period of 1980-2010 showed that minimum temperature for the months of October through January had an increasing trend while maximum temperature for the hot season (AprilJune) and annual rainfall had no significant trend and were inconsistent. Raster climate data including maximum temperature for warm season (AprilJune), cold season (OctoberJanuary) and rainfall for the rainy season (JuneSeptember) for the years 1946 and 2006 were extracted from Climate Research Unit (CRU) Geospatial Raster Data Portal for Ethiopia. The change detection is unidirectional trend analysis between two time periods of 1946 and 2006. Temperature shows increasing trend but rainfall shows fluctuation. RegionSpecific detailed and seasonal climate studies are needed and to be integrated with local context of agr...
Journal of Earth Science & Climatic Change, 2013
Open Science Repository Agriculture, Apr 12, 2014
Climate variability and landuse change are interlinked. This study deals with assessment of the i... more Climate variability and landuse change are interlinked. This study deals with assessment of the impact of climate variability on agricultural land use change (agricultural area and yield) through statistical modeling in Ping Basin. The period for agricultural area change covers between 1990 and 2009 while yield is analysed under current (1981-2009) and future scenarios (2011-59). There was significant correlation between climate variables and agricultural area in Middle Ping, Lower Ping, and Ping Basin but no significant correlation in Upper Ping. Statistical modeling to quantify impact of climate variability on agricultural landuse area change showed that there was significant change (R=0.46, R 2 =21.1%, P=0.041) in agricultural landuse area between 1990 and 2009 in Ping Basin. Future projected climate variability will favour rice production with significant increasing yield trend. Rice yield projected at 5-year interval shows sharp increment (R 2 =0.91) with drastic rise through t...
Annals of Reviews & Research
Carbon sequestration projects in Africa have the potential to provide increased investments for p... more Carbon sequestration projects in Africa have the potential to provide increased investments for poverty alleviation. Potential benefits include sustainable development, biodiversity conservation, and ecological restoration. The Kyoto Protocol’s Clean Development Mechanism (CDM) recognizes carbon sequestration through forestry as a way to mitigate global warming and also allows industrialized countries to offset their carbon emissions by investing in forestry projects in developing countries UNFCCC (2003). In addition, many private organizations are voluntarily promoting carbon sequestration projects to reduce their carbon emissions. Carbon sequestration projects present mutual benefits for environmental conservation
Asian Journal of Agriculture and Food Sciences, 2017
Maize is the main food crop in the hilly areas of Nepal. A Comparative Performance Analysis (CPA)... more Maize is the main food crop in the hilly areas of Nepal. A Comparative Performance Analysis (CPA) study was undertaken to identify maize yield constraints and quantify their impacts on yield in Makuwanpur District (Central (Nepal). For 68 fields, yield ranged from 200 to 4900 kg/ha with a mean of 2020kg/ha, and a standard deviation of 1120kg/ha. Data on land and management aspects were collected during a field survey. Data acquisition methods included direct measurement/observation of biophysical aspects (recorded on relevee sheet), interviews of land users, visit to a nearby research station and extension offices. The dataset included land and management parameters. The production model identified a terrain unit (Upland plateau & Highland hills versus all others), a management parameter (Quantity of applied urea) and lodging as the three major yield constraints that explained 65% of the encountered yield variability. The impact of each identified constraint on yield (yield-gap of 1...
International Journal of Environmental Sciences & Natural Resources, Aug 10, 2017
International Journal of Environmental Sciences & Natural Resources, Oct 27, 2017