Carbon Stock and Mitigation Potentials of Zeghie Natural Forest for Climate Change Disaster Reduction, Blue Nile Basin, Ethiopia

Yirga, Andargachew; Addisu, Solomon; Mekuriaw, Asnake

doi:10.1007/s41748-019-00135-8

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Selective harvesting of tree species of desirable traits for timber and fuelwood purpose (e.g., P. adolfi-friedericii), leave the non-preferred species and pioneer/transition species to contribute more to AGB. In addition, the high contribution of A. gummifera to the AGB of large diameter trees is in line with [5,[78][79][80] for East Africa (Ethiopia, Kenya and Mount Kilimanjaro) and that of [81] for S. guineense in a woodland of Central Africa. A. gummifera is native to Kenya and grows at altitudes (600-2300 m) that fall within forest patches in the Taita Hills.…”

Section: Most Important Tree Species Contributing To Aboveground Biomasssupporting

confidence: 65%

Contribution of Tree Size and Species on Aboveground Biomass across Land Cover Types in the Taita Hills, Southern Kenya

Amara

Adhikari

Mwamodenyi

et al. 2023

Forests

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Tropical landscapes comprise a variety of land cover (LC) types with characteristic canopy structure and tree species. Depending on the LC type, large-diameter trees and certain tree species can contribute disproportionately to aboveground biomass (AGB), and these patterns are not described at landscape-level in LC type specific studies. Therefore, we investigated the impact of large trees and tree species on AGB across a range of LC types in Taita Hills, Kenya. Data included 239 field plots from seven LC types: Montane forest, Plantation forest, Mixed forest, Riverine forest, Bushland, Grassland, and Cropland and homestead. Our results show that the contribution of large trees (DBH > 60 cm) on AGB was greatest in Riverine forest, Montane forest and Mixed forest (34–87%). Large trees were also common in Plantation forests and Cropland and homestead. Small trees (DBH < 20 cm) covered less than 10% of the total AGB in all forest types. In Grassland, and Cropland and homestead, smaller DBH classes made a greater contribution. Bushland differed from other classes as large trees were rare. Furthermore, the results show that each LC type had characteristic species with high AGB. In the Montane and Mixed forest, Albizia gummifera contributed 21.1% and 18.3% to AGB, respectively. Eucalyptus spp., exotic species planted in the area, were important in Mixed and Plantation forests. Newtonia hildebrandtii was the most important species in Riverine forests. In Bushland, Acacia mearnsii, species with invasive character, was abundant among trees with DBH < 30 cm. Vachellia tortillis, a common species in savannahs of East Africa, made the largest contribution in Grassland. Finally, in Cropland and homestead, Grevillea robusta was the most important species (>25% of AGB). Our results highlight the importance of conserving large trees and certain species to retain AGB stocks in the landscape. Furthermore, the results demonstrate that exotic tree species, even though invasive, can have large contribution to AGB.

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Section: Most Important Tree Species Contributing To Aboveground Biomasssupporting

confidence: 65%

Contribution of Tree Size and Species on Aboveground Biomass across Land Cover Types in the Taita Hills, Southern Kenya

Amara

Adhikari

Mwamodenyi

et al. 2023

Forests

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show abstract

“…In Ethiopia, different studies assessed the total organic carbon stock (above-and belowground organic carbon) (Bajigo et al, 2015;Belay et al, 2018a;Betemariyam et al, 2020;De Beenhouwer et al, 2016;Girmay et al, 2008;Lehtonen et al, 2020;Vanderhaegen et al, 2015;Yirga et al, 2020) stored in the ecosystem. Furthermore, several studies attempted to quantify the carbon stored in the aboveground biomass in different areas of Ethiopia, especially in forests, plantations or agroforestry systems (Amsalu and Mengaw, 2014;Denu et al, 2016;Moges et al, 2010;Solomon et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The advantages and limitations of global datasets to assess carbon stocks as proxy for land degradation in an Ethiopian case study

Cerretelli

Poggio

Yakob³

et al. 2021

Geoderma

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“…They are widely distributed in tropical and subtropical regions of the world between 30 • N and 30 • S latitude [1]. Mangrove forests can sequestrate carbon, mitigate climate change, maintain marine and land biodiversity, purify water, protect coastlines and coastal infrastructure and export economic products, thus providing important social, ecological and economic services for surrounding areas [2][3][4][5][6][7][8][9][10]. Mangrove forests are constantly threatened due to natural and anthropogenic factors such as extreme weather events, sea-level rise, aquaculture and urban development, making them one of the most endangered ecosystems in the world [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Simulation of Mangrove Forests under Different Scenarios: A Case Study of Mangrove Protected Areas, Hainan Island, China

2021

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Mangrove forests are important woody plant communities that grow in the intertidal zone between land and sea. They provide important social, ecological and economic services to coastal areas. In recent years, the growth environment of mangrove forests has been threatened. Mangrove forests have become one of the most endangered ecosystems in the world. To better protect mangrove forests, effective monitoring methods are essential. In this study, a spatio-temporal simulation method for mangrove forests was proposed in the mangrove protected areas of Hainan Island, China. This method compared the simulation accuracy of different models in terms of spatial characteristics, evaluated the applicability of driving factors in mangrove simulation and predicted the future spatio-temporal distribution and change trends of mangrove forests under different scenarios. The simulation results of different models showed that AutoRF (random forest with spatial autocorrelation) performs best in spatial characteristic simulation. Driving factors such as the Enhanced Vegetation Index (EVI), various location indices and the spatial autocorrelation factor can significantly improve the accuracy of mangrove simulations. The prediction results for Hainan Island showed that the mangrove area increased slowly under a natural growth scenario (NGS), decreased significantly under an economic development scenario (EDS) and increased significantly under a mangrove protection scenario (MPS) with 4460, 2704 and 5456 ha respectively by 2037. The contraction of mangrove forests is closely related to the expansion of aquaculture ponds, building land and cultivated land. Mangrove contraction is more severe in marginal or fragmented areas. The expansion of mangrove forests is due to the contraction of aquaculture ponds, cultivated land and other forests. The areas around existing mangrove forests and on both sides of the riverbank are typical areas prone to mangrove expansion. The MPS should be the most suitable development direction for the future, as it can reasonably balance economic development with mangrove protection.

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Carbon Stock and Mitigation Potentials of Zeghie Natural Forest for Climate Change Disaster Reduction, Blue Nile Basin, Ethiopia

Cited by 7 publications

References 12 publications

Contribution of Tree Size and Species on Aboveground Biomass across Land Cover Types in the Taita Hills, Southern Kenya

Contribution of Tree Size and Species on Aboveground Biomass across Land Cover Types in the Taita Hills, Southern Kenya

The advantages and limitations of global datasets to assess carbon stocks as proxy for land degradation in an Ethiopian case study

Spatio-Temporal Simulation of Mangrove Forests under Different Scenarios: A Case Study of Mangrove Protected Areas, Hainan Island, China

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