Uwadiegwu Ibeabuchi
Abstract
Terrestrial ecosystems, which store more carbon than the atmosphere, are vital in influencing carbon dioxide-driven climate change. Climate and land-use change are critical and interlinked components of the carbon budget in human-dominated landscape. Using InVEST model, maps of land use and stocks in ...
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Terrestrial ecosystems, which store more carbon than the atmosphere, are vital in influencing carbon dioxide-driven climate change. Climate and land-use change are critical and interlinked components of the carbon budget in human-dominated landscape. Using InVEST model, maps of land use and stocks in four carbon pools (aboveground biomass, belowground biomass, soil and dead organic matter) are used to estimate the amount of carbon currently stored in the landscape and the amount of carbon sequestered over time. InVEST model was integrated with Geographic Information System (GIS) techniques in building a resilient climate regulatory ecosystem for Nigeria based on REDD policy scenario. The result reveals that there is a reduction in forest land by 68.00% in 1984, 52.00% in 2003, and 48.00% in 2035. This has led to a decrease in total carbon stored from 15594440704.00Mgha-1yr-1 in 1984 to 11968108544.00Mgha-1yr-1 in 2003 and then to 11115581440Mg ha-1yr-1 in 2035. Also, total carbon sequestered decrease by 4856430592.00Mgha-1yr-1in 1984 to 2018537728.00Mgha-1yr-1 in 2003, and then to 82727.99Mgha-1yr-1 in 2035. Based on these findings, REDD policy scenario was designed to increase carbon storage credits in all land useland cover through sustained forest protection and enhancement of forest carbon stocks, and the following can be achieved, 4619.97 Mgha-1yr-1 of carbon can be stored for 2003 and 2035. For carbon sequestered, 1707.79Mgha-1yr-1 was stored between 1984 and 2003, while between 2003 and 2035, 912.85Mgha-1yr-1 was stored. A greater resilient is achieved by adopting the REDD policy because carbon stored can cut down emission by 89.00% and 87.00% in 2003 and 2035, while sequestered carbon by 33.00% between 1984 to 2003 and 2003 to 2035 unconditionally under the Business-As-Usual (BAU) scenario.
Uwadiegwu Ibeabuchi
Abstract
Change in rainfall is one of the most critical factors in determining the impact of climate change on Abia state. Annual rainfall data was acquired from HadCM3 baseline and future scenarios between 1972 and 2050 for Abia state. Analysis was performed using Geographical Information System (GIS) and statistical ...
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Change in rainfall is one of the most critical factors in determining the impact of climate change on Abia state. Annual rainfall data was acquired from HadCM3 baseline and future scenarios between 1972 and 2050 for Abia state. Analysis was performed using Geographical Information System (GIS) and statistical techniques. Descriptive statistics were extracted using statistical methods while for spatial rainfall distribution, standard deviation and coefficient of variation were mapped using GIS interpolation methods. For baseline scenario between 1972 and 2015, annual rainfall minimum, maximum, mean, variability, standard deviation and coefficient of variation in the southern part of Abia state is relatively higher than the northern part of the state which is lower compared to future scenario between 2015 and 2050. Significant changes in rainfall between 2015 to 2050 in-relation to its distribution pattern (using Log Pearson Type III probability distribution) in-terms of its frequency, climate extremes and extreme events is higher than 1972 to 2015. This change in rainfall implies that in Abia state an increase in heavy rainfall with a 0.2% chance exceedance annual rainfall event is likely to become 0.5% chance exceedance event in many regions with a higher emissions scenarios leading to a greater projected decrease in return period. Finally, water requirement for various crops were studied in-relation to effective rainfall and the results reveals that crops receive a high probability of critical rainfall amount in a given year needed for growth between 1972 and 2050. This study provides information on rainfall trend on a long-term basis and impact of climate change on Abia state which will be very useful for water resource management, agriculture and economic development of the region.