Total Carbon Stock and Potential Carbon Sequestration Economic Value of Mukogodo Forest-Landscape Ecosystem in Drylands of Northern Kenya

Leley, Nereoh C.; Langat, David; Kisiwa, Abdalla K.; Maina, Geoffry Mukonambi; Muga, M.

doi:10.4236/ojf.2022.121002

Cited by 6 publications

(5 citation statements)

References 58 publications

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Section: Introductionmentioning

confidence: 99%

“…There is increasing interest in understanding the contribution of forest ecosystems in mitigating climate change effect (Lorenz and Lal 2010;Njana et al 2018;Mauya et al 2019;Leley et al 2022;Mauya et al 2022;Nugroho et al 2022). That can be achieved by quantifying the carbon currently locked up in these ecosystems (Njana et al 2018;Mauya et al 2019;Leley et al 2022). The estimation or quantification of carbon stocks is based on allometric equations developed in the same forests or similar vegetation types in cases where there are no existing models for such a specific forest (Chave et al 2005;Henry et al 2011;Ngomanda et al 2014;Mwakalukwa et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania

2023

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Abstract. Mwaluseke ML, Mwakalukwa EE, Maliondo SMS. 2023. Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania. Asian J For 7: 45-53. Models available for accurately estimating trees and shrubs' volume and aboveground biomass from dry evergreen montane forests in Tanzania are largely lacking. Therefore, this study was conducted to develop volume, and aboveground biomass models for a dry evergreen montane forest of Lendikinya Forest Reserve found in Northern Tanzania. A total of thirty sample trees and shrubs with a diameter range of 5-58.5 cm were destructively harvested and used in this study. Specifically, the study developed (i) the height-diameter model and (ii) the total volume and aboveground biomass models. The following height, volume, and biomass models appear to be suitable for estimating tree height, volume, and biomass of tree and shrub species found in the study site: Height (m) =2.3249 + 6.6101/DBH + 0.2847DBH (R2 = 0.78, RMSE = 1.79, AIC = 164.37), ln(Volume, m3) = -9.845 + 1.915 ln(DBH) + 1.089ln(Ht) (R2 = 0.97, RMSE = 0.296, AIC = -144.18) and ln(Biomass, kg) = -1.666 + 0.853ln(WD x DBH2 x Ht) (R2 = 0.95, RMSE = 0.324, AIC = 224.13). Both models yielded low bias, hence indicating an excellent fit. These models will be useful in understanding the condition of the forest and the potential of this forest in storing carbon hence, the possibility of benefiting from the ongoing negotiations of REDD+ schemes for payment for avoided deforestation and degradation through sustainable management of the reserve.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania

2023

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“…It was estimated that the mean N2O-emission rate from tropical forest soils equals 1.23 ± 2.09 μmol N2O m −2 h −1 was at least 2-3 times higher than those from temperate forest soils equaling 0.41 ± 0.15 μmol N2O m −2 h −1 . In dryland ecosystems (Chevallier et al 2016;Leley et al 2022), the GHG usually comes from agricultural lands due to crop production, livestock production, indirect emission, and agroecosystem. The activities within the agricultural lands that contribute to GHG emissions comprise crop residues production, application of N-fertilizer, livestock enteric fermentation, manure storage, handling and application, soil cultivation, using of machinery, fueling, and transportation (Jantke et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Carbon sink and greenhouse gas emission of dryland vegetation cover in tourism villages in Flores Island, East Nusa Tenggara, Indonesia

LESTARI,

TUA,

MUZANNI

et al. 2023

Biodiversitas

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Abstract. Lestari F, Tua IN, Muzanni A, Nugroho DF, Wibowo AA, Wartono T, Widanarko B, Saepullah A, Modjo R, Farida M, Erwandi D, Aryani DD, Kadir A, Widiatmoko AI, Hendra, Herwanto ZJ, Tejamaya M, Hamid RA, Fatmah, Gunawan EL, Setyowati DL, Hafids MF, Yuliani R. 2023. Carbon sink and greenhouse gas emission of dryland vegetation cover in tourism villages in Flores Island, East Nusa Tenggara, Indonesia. Biodiversitas 24: 1998-2005. Due to its natural features and scenery, the dryland ecosystem has recently become a tourist destination. One of the growing dryland ecosystems for village tourism is Flores Island, East Nusa Tenggara, Indonesia. Those tourism villages have the potential to promote carbon sequestration through the preservation of natural resources and, at the same time, can release Green-House Gases (GHG). Despite growing research on carbon stock, there is little information on the carbon budget of a dryland tourism village, which includes the values of carbon stock sequestered from the atmosphere and greenhouse gas emissions. This research aimed to measure the carbon stock and GHG emissions in three villages containing paddy fields, savanna, and forest covers. The measured gases, including CO2, CH4, and N2O, were collected using the gas chamber method and analyzed using gas chromatography. The result shows that forest land covers have the highest carbon stock, with average values of 97.44 Mg ha-1 within the 57.34-117.5 Mg ha-1. A low average carbon stock of 17.39 Mg ha-1 was observed in paddy fields. The GHG was in the order of CO2 > CH4 > N2O. The paddy field has higher GHG than other land covers, with average CO2, CH4, and N2O values of 292.45 ppm, 1.35 ppm, and 1.09 ppm. While CO2, CH4, and N2O values for the forest were 281.05 ppm, 1.30 ppm, 1.05 ppm, 272.83 ppm, 1.26 ppm, and 1.02 ppm for savanna covers.

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“…In East Africa, dry Afromontane vegetation extend from the southern part of Arabian Peninsula to the eastern arm of the rift valley in the Drakensberg Mountains. These ecosystems have been reported to be rich in biological diversity and as centres of endemism with various rangerestricted species (Okullo et al, 2021 Dry land forests also act as sink and sources of carbon given their expansive nature and are reported to store about one third of global carbon budget (Leley et al, 2022). There is a wealthy body of literature on carbon stocks and storage potential of dry forests at both international and regional level but not to a commune level of Agoro-Agu CFR, considering the heterogenous vegetation communities of the area.…”

Section: Introductionmentioning

confidence: 99%

“…Carbon stock assessments in tropical forest landscapes is through either direct or indirect approaches. Direct approaches involve the use of destructive sampling techniques to develop plot level or speciesspeci c models to quantity biomass that is later converted into Carbon or tons of carbon dioxide equivalents (tCO 2 -eq), while indirect approaches employ developed allometric models or equations, tested form factors, area expansion factors and wood basic density (Leley et al, 2022). Each method has its pros and cons for example direct approach yields results with a high precision and reliability, it is costly in terms of time, with restrictions where a forest or a species is threatened with degradation and extinction respectively.…”

Section: Introductionmentioning

confidence: 99%

Carbon stock of Agoro Agu Central Forest Reserve, in Lamwo District, Northern Uganda

Birungi

Workeneh-Dejene

Mbogga

et al. 2022

Preprint

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Uganda has since not undertaken carbon stock inventories for these conservation areas, especially with dry Afromontane forests like Agoro-agu central forest reserve (CFR). This study was carried out to estimate carbon stock of Agoro-agu CFR, for its potential in climate change mitigation. A stratified sampling design was used, where 65 sample plots were established. Nested, fixed area circular sample plots with sub-plots of varying radii for tree height, diameter measurements and soil sampling. The mean total carbon stock of Agoro-agu CFR was estimated at 606.7 mg ha-1, for which 409, 72, 124 and 0.24 mg ha-1 was stored as above ground carbon, below ground carbon, soil organic carbon and carbon in litter herbs and grass respectively. The study illustrates the carbon sequestration potential of the forest for any results-based payment projects for climate change mitigation, which calls for multi-stakeholders’ collaboration from direct resource users to national level to enhance forest conservation and reduce forest degradation.

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Total Carbon Stock and Potential Carbon Sequestration Economic Value of Mukogodo Forest-Landscape Ecosystem in Drylands of Northern Kenya

Cited by 6 publications

References 58 publications

Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania

Volume and aboveground biomass models for a dry evergreen montane forest in Tanzania

Carbon sink and greenhouse gas emission of dryland vegetation cover in tourism villages in Flores Island, East Nusa Tenggara, Indonesia

Carbon stock of Agoro Agu Central Forest Reserve, in Lamwo District, Northern Uganda

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