Climate change and carbon dioxide (CO2) sequestration: an African perspective

2007 ◽  
Vol 64 (5) ◽  
pp. 543-554 ◽  
Author(s):  
M. Sengul ◽  
A.E. Pillay ◽  
C.G. Francis ◽  
M. Elkadi
2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Sri Walyoto

This article analyzes the loss of carbon dioxide (CO2) released in the forest conversion to oil palm plantations. This research data gathered from the relevant secondary data and relate published reports. This research finds that a loss of release of carbon dioxide (CO2) per hectare of US $ 9,800 with a carbon price of USD2 of US $ 14,000 carbon price of USD3 and US $ 19,600 in carbon price of USD4. In addition, this conversion also has a significant impact on global warming (GWP) and global climate change. Keywords: oil palm plantation, CO2 release, GWP, climate change. 


2017 ◽  
Vol 103 ◽  
pp. 05016 ◽  
Author(s):  
A. Faisal Alshalif ◽  
J.M. Irwan ◽  
N. Othman ◽  
M.M. Zamer ◽  
L.H. Anneza

2020 ◽  
Vol 10 (7) ◽  
pp. 2330
Author(s):  
Trinity S. Senda ◽  
Gregory A. Kiker ◽  
Patricia Masikati ◽  
Albert Chirima ◽  
Johan van Niekerk

Smallholder farmers in semi-arid areas depend on both cropping and livestock as the main sources of livelihoods. Rangeland productivity varies on both spatial and temporal scales and provides the major source of feed for livestock. Rangeland productivity is expected to decline with climate change thereby reducing livestock feed availability and consequently livelihoods that depend on livestock. This study was carried out to assess the impacts of climate change on rangeland productivity and consequently livestock population dynamics using a 30-year simulation modeling approach. The climate scenarios used in the simulations are built from the localized predictions by General Circulation Models (GCMs). The primary climate variables under consideration are rainfall (+/−7% change), carbon dioxide (CO2 up to 650 ppm) and temperature (+4 °C change). This was done by applying the SAVANNA ecosystem model which simulates rangeland processes and demographic responses of herbivores on a temporal and spatial scale using a weekly internal time step and monthly spatial and temporal outputs. The results show that rainfall levels of less than 600 mm/year have the largest negative effect on herbaceous biomass production. The amount of biomass from the woody layer does not change much during the year. The carbon dioxide (CO2) effects are more influential on the tree and shrub layers (C3 plants) than the herbaceous layer (C4 grasses). The CO2 effect was more dominant than the effects of rainfall and temperature. In the baseline simulations, the shrub plant layer increased significantly over 30 years while there is a three-fold increase in the woody plant layer (trees and shrubs) where biomass increased from a 1980 production to that of 2010. The biomass of the herbaceous layer was stable over the historical period (1980 to 2010) with values fluctuating between 200 and 400 g/m2. Grass green biomass has a variable distribution where most production occurred in the fields and cleared areas while lower levels of production were found in the forested areas. The spatial distribution of shrub green biomass was less directly linked to yearly rainfall. Shrub biomass was mostly found in forested areas, and it showed a steady increase in production. Cattle, donkey, and goat populations rose slowly from 1980 but the rise was disrupted by a dry period during the late 1980s to the early 1990s causing a decline in all populations primarily due to grass unavailability. The populations of cattle goats and donkeys started to rise again from 1995 onwards due to improvements in rainfall. Cattle and donkey populations were rising faster than that of goats while sheep population was not changing much for most of the simulation period, otherwise they declined significantly during the drought of 2002. Similar changes in simulated grass biomass (g/m2) were observed in almost all climate scenarios, except for the peak and low years. The livestock population simulation showed few variations in livestock population under all scenarios. The main conclusion from the study is that CO2 effects on rangeland productivity are much more dominant than the localized effects of rainfall and temperature. This has implications of favoring the growth of the tree and shrub layers over herbaceous layer, which meant that in the long run, the species that are able to use tree and shrub layers may be kept as a livelihood source as they will have a feed source.


EDIS ◽  
2018 ◽  
Vol 2018 (4) ◽  
Author(s):  
Joshua T. Patterson ◽  
Lisa S. Krimsky

Ocean acidification (OA) generally refers to the ongoing decrease in ocean pH. Ocean acidification is caused primarily by the oceanic uptake of excess carbon dioxide (CO2) from the atmosphere. Other impacts related to climate change (increased sea level rise, coastal flooding and extreme weather events) often receive more attention than OA, but the acidification of the Earth’s oceans is well documented and is a major concern for the marine science community. This publication is the first in a series that addresses ocean acidification in Florida. It specifically explains the changes that are occurring to the chemistry of our coastal and oceanic waters because of elevated carbon dioxide levels. Additional publications address potential environmental, economic, and social implications for Florida.  


Author(s):  
Joseph S Shapiro

Abstract This paper describes a new fact, then analyzes its causes and consequences: in most countries, import tariffs and nontariff barriers are substantially lower on dirty than on clean industries, where an industry’s “dirtiness” is defined as its carbon dioxide (CO2) emissions per dollar of output. This difference in trade policy creates a global implicit subsidy to CO2 emissions in internationally traded goods and so contributes to climate change. This global implicit subsidy to CO2 emissions totals several hundred billion dollars annually. The greater protection of downstream industries, which are relatively clean, substantially accounts for this pattern. The downstream pattern can be explained by theories where industries lobby for low tariffs on their inputs but final consumers are poorly organized. A quantitative general equilibrium model suggests that if countries applied similar trade policies to clean and dirty goods, global CO2 emissions would decrease and global real income would change little.


2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Fina Binazir Maziya

ABSTRAKTimbulan sampah menghasilkan berbagai emisi Gas Rumah Kaca (GRK), khususnya parameter karbondioksida (CO2) yang dilepas ke udara. Karbondioksida yang diemisikan dari kegiatan transportasi dan proses operasi pengelolaan sampah perkotaan merupakan komponen penting yang berkontribusi pada fenomena pemanasan global. Kota Surabaya dihuni oleh 3 juta jiwa dan menghasilkan sampah perkotaan sebanyak 1600 ton setiap hari. Hal tersebut menyebabkan tingginya beban Tempat Pemrosesan Akhir (TPA) Benowo dalam menerima input sampah. Pengambilan sampel dilakukan di beberapaTempat Penampungan Sementara (TPS) dengan metode purposive random sampling berdasarkan kebutuhan data yang mewakili area penelitian. Pengambilan sampel sampah dilakukan berdasarkan  Standar Nasional Indonesia (SNI) 19-3964-1994. Perhitungan emisi dari data timbulan sampah yang telah diperoleh dilakukan dengan metode pendekatan Intergovernmental Panel on Climate Change  (IPCC). Emisi GRK ditentukan berdasarkan kondisi eksisting sistem pengelolaan sampah di Kecamatan Genteng  Kota Surabaya. Sampah direduksi di sumber sampah melalui dua upaya, yaitu pengomposan dan partisipasi masyarakat dalam program bank sampah. Selanjutnya sampah juga direduksi di TPS oleh sector informal yang dalam hal ini merupakan pemulung di sekitar wilayah TPS. Hasil perhitungan emisi CO2 sektor persampahan di Kecamatan Genteng sebesar 1270 Ton/tahun. Hasil tersebut dari kegiatan penanganan sampah sebesar 1120 Ton/Tahun untuk sampah di TPA setelah dilakukan upaya minimalisasi. Selain itu juga dari emisi pengangkutan sampah menuju bank sampah (pengolahan) dan TPA sebesar 150 Ton/Tahun. Kata Kunci : Emisi, GRK, karbondioksida,sampah. ABSTRACTThe waste is generates a variety of greenhouse gas emissions (GHG), especially carbon dioxide (CO2) released into the air. Carbon dioxide emitted from transportation activities and urban waste management processes is an important component that contributes to the phenomenon of global warming. The city of Surabaya had 3 million people and produces 1600 tons of urban waste every day. It has impact in the high burden of Benowo Final Processing Place (TPA) in receiving waste input. Sampling was conducted in several Temporary Shelter Sites (TPS) with purposive random sampling method based on the data requirement that represented the research area. Waste sampling had been done based on Indonesian National Standard (SNI) 19-3964-1994. The emission calculation of waste generation data is using Intergovernmental Panel on Climate Change (IPCC) approach. GHG emission is determined based on the existing condition of waste management system in Kecamatan Genteng Kota Surabaya. Waste is reduced in waste sources through two efforts, composting and community participation in waste bank programs. Furthermore, waste is also reduced in TPS by the informal sector which in this case is a scavenger around the TPS area. The calculation of CO2 emissions from waste sector in Kecamatan Genteng is 1270 Ton / year. The result is from waste handling activity of 1120 Ton / Year for waste in TPA after minimization efforts. In addition, from waste transport emissions to waste banks (processing) and landfill of 150 Ton / Year. Keywords : Carbondioxside, emission, greenhousegases,waste.


Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1365
Author(s):  
Paulina Poma ◽  
Marco Usca ◽  
María Polanco ◽  
Theofilos Toulkeridis ◽  
Carlos Mestanza-Ramón

The landfill is a final disposal technique to confine municipal solid waste (MSW), where organic matter is degraded generating leachate and biogas composed of methane gases (CH4), carbon dioxide (CO2) and other gases that contribute to global warming. The objective of the current research was to estimate the amount of biogas generated through the LandGEM 3.03 mathematical model to determine the amount of electrical energy generated and the number of homes that would be supplied with electrical energy from 2021 to 2144. As a result of the application, it was estimated that in the Pichacay landfill, the highest point of biogas generation in 2053 would be 76,982,177 (m3/year) that would generate 81,226,339.36 (kWh/year), and would supply 5083 homes with electricity. Similarly, in the Las Iguanas landfill, the highest point would be 693,975,228 (m3/year) of biogas that produces 73,223,5296.7 (kWh/year) and would supply electricity to 45,825 homes. Of the performed gas analyses in the Pichacay landfill in 2020, an average of 51.49% CH4, 40.35% CO2, 1.75% O2 and 17.8% H2S was presented, while in the Las Iguanas landfill, for 2020 and 2021, we obtained an average of 51.88/CH4, 36.62% CO2, 1.01% O2 and 187.58 ppm H2S. Finally, the biogas generated by being harnessed minimizes the impacts related to global warming and climate change and would contribute electricity to the nearby communities.


Author(s):  
Saidi Siuhi ◽  
Judith L. Mwakalonge ◽  
Judy Perkins

This paper compared performance of methods for combining model information estimated in one region and applied to another region to improve estimation results. The application is for models developed to estimate household-level automobile-specific CO2 emissions. The results indicated that automobile-specific CO2 emissions models can be transferred from one geographical region to another. The estimates of CO2 emissions can assist agencies such as policy makers, businesses, and transportation planners to track trends and identify opportunities to reduce CO2 emissions and increase efficiency of transportation systems to lessen their impact on global warming, climate change, and air quality standards.


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