scholarly journals The Moisture Content and Absorption Levels of Carbon Dioxide in Binuang Bini (Octomeles sumatrana Miq) Trees For Climate Change Management

2021 ◽  
Vol 27 (3) ◽  
pp. 143-151
Author(s):  
J Kailola ◽  
G Mardiatmoko ◽  
R Simanjuntak ◽  
A Kastanya
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Moisture Content ◽  
Carbon Concentration ◽  
Forest Degradation ◽  
Allometric Equation ◽  
Economic Benefits ◽  
Regression Equation ◽  
Carbon Trading ◽  
Carbon Dioxide Co2

Binuang bini (Octomeles sumatrana Miq) is a fast-growing tree with numerous economic benefits, such as the provision of wood for carpentry purposes, building boards, water management, and absorption of carbon dioxide (CO2). Therefore, this tree species has great potential and needs to be included in Reducing Emission from Deforestation and Forest Degradation (REDD)+'s mitigation program to tackle climate change. In its development, REDD+ has made it possible to carry out carbon trading in the world. Therefore, countries capable of performing protective functions and carry out reforestation, afforestation, and restoration, have the opportunity to be involved in world carbon trading. This study aims to determine the moisture content and carbon absorption rate of Binuang bini trees as a first step to regulate the allometric equation using destructive and laboratory analysis. The results show that the water content in the roots, leaves, as well as the base, middle, and tip of the stem were: 73.69%, 68.39%, 65.59%, 61.22%, and 66.26%, respectively. Furthermore, the sample test results indicate a very close relationship between carbon concentration and absorbance in the O. sumatrana tree with a simple linear regression equation: Y = 0.002X + 0.0593 with R2 = 0.9896. Therefore, this regression equation can be used to calculate the carbon concentration sample for the O. sumatrana tree fraction. The carbon content in 3 tree samples with a breast height diameter of 9.24 cm, 10.08 cm, and 11.68 cm was 2,585 kg. 2,913 kg, and 4,654 kg, respectively. In addition, the carbon sequestration for each tree diameter per year is 1.581 kg year-1, 1,782 kg year-1and 2,847 kg year-1, respectively.

scholarly journals Estimated Carbon Absorption and Economic Benefits in Various Scenarios of Community Forest (HKm) Land Management Through The Scheme of Plan Vivo in The Upstream Watersheds (DAS) of Renggung River, Central Lombok Regency, Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 62
Author(s):  
L. Sukardi ◽  
Ismail Ismail ◽  
M. Husni Idris
Keyword(s):  
Carbon Dioxide ◽  
Land Management ◽  
Economic Benefits ◽  
Allometric Equations ◽  
Time Range ◽  
Carbon Trading ◽  
Community Forest ◽  
Carbon Absorption ◽  
Carbon Dioxide Co2 ◽  
Hierarchy Process

This study aims to (1) estimate carbon absorption and the economic benefits of HKM land management through Plan Vivo scheme and (2) determine the composition of plants to be prioritised. This research was conducted in the upstream watershed of Renggung River in Central Lombok. The calculation of the estimated carbon absorption was obtained using allometric equations, while the estimated economic benefits were calculated from the production of commodities that are grown and the potential of carbon trading. To determine the prioritised scenarios, Analitycal Hierarchy Process (AHP) was conducted. The time range of analysis is conducted within a period of 15 years with three scenarios of composition of plants : (1) scenario-1: 70% MPTs and 30% timber trees (2) scenario-2: 30% MPTs and 70% timber trees; and (3) scenario-3: 50% MPTs and 50% timber trees. The results of the study are as follows: (1) the increased absorption of carbon dioxide (CO2) for scenario-1 amounted to 87.54 tonnes/ha/yr, scenario-2 amounted to 138.93 tons/ha/yr, and scenario-3 for 113.88 ton/ha/yr; (2) The economic benefits for the scenario 1 is of IDR 37,882,304,- /hectare/year, the scenario-2 of IDR 22,875,951,- per hectare / year, and scenario-3 of IDR 31,685,853,- per hectare/year. Furthermore, based on the consideration of carbon absorption, economic benefits, and sociocultural aspects, the priorities to be developed is the scenario-2.

scholarly journals Carbon Costs of Indonesian Forested Land Conversion to Oil Palm Plantations

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Sri Walyoto
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Oil Palm ◽  
Global Climate ◽  
Secondary Data ◽  
Carbon Price ◽  
Forest Conversion ◽  
Carbon Costs ◽  
Carbon Dioxide Co2 ◽  
Co2 Release

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. 

scholarly journals Modeling Climate Change Impacts on Rangeland Productivity and Livestock Population Dynamics in Nkayi District, Zimbabwe

2020 ◽  
Vol 10 (7) ◽  
pp. 2330
Author(s):  
Trinity S. Senda ◽  
Gregory A. Kiker ◽  
Patricia Masikati ◽  
Albert Chirima ◽  
Johan van Niekerk
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Population Dynamics ◽  
C3 Plants ◽  
Climate Scenarios ◽  
Herbaceous Layer ◽  
Livestock Population ◽  
Co2 Effects ◽  
Forested Areas ◽  
Carbon Dioxide Co2

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.

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