scholarly journals Increases in soil and woody biomass carbon stocks as a result of rangeland riparian restoration

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Virginia Matzek ◽  
David Lewis ◽  
Anthony O’Geen ◽  
Michael Lennox ◽  
Sean D. Hogan ◽  
...  
Keyword(s):  
Woody Biomass ◽  
Carbon Stocks ◽  
Biomass Carbon ◽  
Riparian Restoration

scholarly journals Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion

2020 ◽  
Vol 12 (15) ◽  
pp. 2380
Author(s):  
Pedro Rodríguez-Veiga ◽  
Joao Carreiras ◽  
Thomas Luke Smallman ◽  
Jean-François Exbrayat ◽  
Jamleck Ndambiri ◽  
...  
Keyword(s):  
Data Fusion ◽  
Forest Inventory ◽  
National Level ◽  
Woody Biomass ◽  
Carbon Stocks ◽  
Earth Observation ◽  
Climate Mitigation ◽  
Biomass Carbon ◽  
Model Data ◽  
Essential Information

The characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest inventory. Here we present the most detailed and rigorous national-scale assessment of aboveground woody biomass carbon stocks and dynamics for Kenya to date. A non-parametric random forest algorithm was trained to retrieve aboveground woody biomass carbon (AGBC) for the year 2014 ± 1 and forest disturbances for the 2014–2017 period using in situ forest inventory plot data and satellite Earth Observation (EO) data. The ecosystem carbon cycling of Kenya’s forests and wooded grassland were assessed using a model-data fusion framework, CARDAMOM, constrained by the woody biomass datasets from this study as well as time series information on leaf area, fire events and soil organic carbon. Our EO-derived AGBC stocks were estimated as 140 Mt C for forests and 199 Mt C for wooded grasslands. The total AGBC loss during the study period was estimated as 1.89 Mt C with a dispersion below 1%. The CARDAMOM analysis estimated woody productivity to be three times larger in forests (mean = 1.9 t C ha−1 yr−1) than wooded grasslands (0.6 t C ha−1 yr−1), and the mean residence time of woody C in forests (16 years) to be greater than in wooded grasslands (10 years). This study stresses the importance of carbon sequestration by forests in the international climate mitigation efforts under the Paris Agreement, but emphasizes the need to include non-forest ecosystems such as wooded grasslands in international greenhouse gas accounting frameworks.

scholarly journals Biomass and Soil Carbon Stocks in Wet Montane Forest, Monteverde Region, Costa Rica: Assessments and Challenges for Quantifying Accumulation Rates

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Lawrence H. Tanner ◽  
Megan T. Wilckens ◽  
Morgan A. Nivison ◽  
Katherine M. Johnson
Keyword(s):  
Costa Rica ◽  
Soil Carbon ◽  
Secondary Forest ◽  
Cloud Forest ◽  
Montane Forest ◽  
Carbon Stocks ◽  
Age Difference ◽  
Biomass Carbon ◽  
Mature Forest ◽  
Large Trees

We measured carbon stocks at two forest reserves in the cloud forest region of Monteverde, comparing cleared land, experimental secondary forest plots, and mature forest at each location to assess the effectiveness of reforestation in sequestering biomass and soil carbon. The biomass carbon stock measured in the mature forest at the Monteverde Institute is similar to other measurements of mature tropical montane forest biomass carbon in Costa Rica. Local historical records and the distribution of large trees suggest a mature forest age of greater than 80 years. The forest at La Calandria lacks historical documentation, and dendrochronological dating is not applicable. However, based on the differences in tree size, above-ground biomass carbon, and soil carbon between the Monteverde Institute and La Calandria sites, we estimate an age difference of at least 30 years of the mature forests. Experimental secondary forest plots at both sites have accumulated biomass at lower than expected rates, suggesting local limiting factors, such as nutrient limitation. We find that soil carbon content is primarily a function of time and that altitudinal differences between the study sites do not play a role.

scholarly journals Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1217
Author(s):  
Manan Bhan ◽  
Simone Gingrich ◽  
Sarah Matej ◽  
Steffen Fritz ◽  
Karl-Heinz Erb
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Management ◽  
Empirical Relationship ◽  
Carbon Stocks ◽  
Tree Cover ◽  
Ecosystem Structure ◽  
Biomass Carbon ◽  
Potential Vegetation

Tree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we quantify the empirical relationship between TC and CS and demonstrate the impacts of land use by combining spatially explicit estimates of TC and CS in actual and potential vegetation (i.e., in the hypothetical absence of land use) across the global tropics (~23.4° N to 23.4° S). We find that land use strongly alters both TC and CS, with stronger effects on CS than on TC across tropical biomes, especially in tropical moist forests. In comparison to the TC-CS correlation observed in the potential vegetation (biome-level R based on tropical ecozones = 0.56–0.90), land use strongly increases this correlation (biome-level R based on tropical ecozones = 0.87–0.94) in the actual vegetation. Increased correlations are not only the effects of land cover change. We additionally identify land management impacts in closed forests, which cause CS reductions. Our large-scale assessment of the TC-CS relationship can inform upcoming remote sensing efforts to map ecosystem structure in high spatio-temporal detail and highlights the need for an explicit focus on land management impacts in the tropics.

scholarly journals Brazilian Mangroves: Blue Carbon Hotspots of National and Global Relevance to Natural Climate Solutions

2022 ◽  
Vol 4 ◽  
Author(s):  
Andre S. Rovai ◽  
Robert R. Twilley ◽  
Thomas A. Worthington ◽  
Pablo Riul
Keyword(s):  
Carbon Sequestration ◽  
National Level ◽  
Cost Effective ◽  
Woody Biomass ◽  
Carbon Stocks ◽  
Blue Carbon ◽  
Carbon Accumulation ◽  
Amazon Forest ◽  
Nationally Determined Contributions ◽  
Natural Climate

Mangroves are known for large carbon stocks and high sequestration rates in biomass and soils, making these intertidal wetlands a cost-effective strategy for some nations to compensate for a portion of their carbon dioxide (CO2) emissions. However, few countries have the national-level inventories required to support the inclusion of mangroves into national carbon credit markets. This is the case for Brazil, home of the second largest mangrove area in the world but lacking an integrated mangrove carbon inventory that captures the diversity of coastline types and climatic zones in which mangroves are present. Here we reviewed published datasets to derive the first integrated assessment of carbon stocks, carbon sequestration rates and potential CO2eq emissions across Brazilian mangroves. We found that Brazilian mangroves hold 8.5% of the global mangrove carbon stocks (biomass and soils combined). When compared to other Brazilian vegetated biomes, mangroves store up to 4.3 times more carbon in the top meter of soil and are second in biomass carbon stocks only to the Amazon forest. Moreover, organic carbon sequestration rates in Brazilian mangroves soils are 15–30% higher than recent global estimates; and integrated over the country’s area, they account for 13.5% of the carbon buried in world’s mangroves annually. Carbon sequestration in Brazilian mangroves woody biomass is 10% of carbon accumulation in mangrove woody biomass globally. Our study identifies Brazilian mangroves as a major global blue carbon hotspot and suggest that their loss could potentially release substantial amounts of CO2. This research provides a robust baseline for the consideration of mangroves into strategies to meet Brazil’s intended Nationally Determined Contributions.

scholarly journals Estimation of biomass, carbon stocks and leaf litter decomposition rate in teak Tectona grandis Linn plantations in city forest of Hasanuddin University, Makassar

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Slamet Santosa ◽  
Muhamad Ruslan Umar ◽  
Dody Priosambodo ◽  
Rizki Amalia Puji Santosa
Keyword(s):  
Leaf Litter ◽  
Litter Decomposition ◽  
Decomposition Rate ◽  
Tectona Grandis ◽  
Carbon Stocks ◽  
Leaf Litter Decomposition ◽  
Average Height ◽  
Biomass Carbon ◽  
Litter Decomposition Rate ◽  
Teak Plantations

Teak Tectona grandis Linn is still used as the main product in the form of wood, while other products, especially environmental services have not received much attention. This study analyzed biomass, carbon stocks and decomposition rate of leaf litter in teak plantations in city forest of Hasanuudin University, Makassar. The individual biomass of teak plants is calculated using the allometric equation, Y=0.11x ρ x D2.62. Carbon stocks were analyzed using a formulation, C=0.47xB. The leaf litter decomposition rate is expressed as the ratio of the remaining litter dry weight, with the formulation, X= (A-B)/A. The number of teak plants in 5 sample plots were 239 trees with an average stem diameter of 20.6cm and an average height of 9.02m. Total biomass in 5 sample plots was 51,712.61g. Carbon stock in 5 sample plots was 24,304.92g. Decomposition rate average of leaf litter of 24.4g during 60 days incubation. The existence of teak plantations is able to reduce CO2 in the atmosphere by as much as 89,199.06gCO2 and resulting in a decomposition rate of teak leaf litter 0.4g per day

scholarly journals Converting Riparian Restoration Waste to Energy: Testing Tamarisk (Tamarix spp.) Woody Biomass as Fuel for Downdraft Gasification

2011 ◽  
Vol 29 (3) ◽  
pp. 270-278 ◽  
Author(s):  
J. Nielsen ◽  
J. Diebold ◽  
T. Walton ◽  
M. Boyle ◽  
R. Walt
Keyword(s):  
Woody Biomass ◽  
Waste To Energy ◽  
Riparian Restoration ◽  
Tamarix Spp

scholarly journals Development of a Tree Growth Difference Equation and Its Application in Forecasting the Biomass Carbon Stocks of Chinese Forests in 2050

Forests ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 582 ◽  
Author(s):  
Hanyue Zhang ◽  
Zhongke Feng ◽  
Panpan Chen ◽  
Xiaofeng Chen
Keyword(s):  
Climate Change ◽  
Difference Equation ◽  
Tree Growth ◽  
Difference Equations ◽  
Land Surface ◽  
Carbon Stocks ◽  
Sufficient Information ◽  
Biomass Carbon ◽  
Growth Difference ◽  
The Relationship

Global climate change has raised concerns about the relationship between ecosystems and forests, which is a core component of the carbon cycle and a critical factor in understanding and mitigating the effects of climate change. Forest models and sufficient information for predictions are important for ensuring efficient afforestation activities and sustainable forest development. Based on the theory of difference equations and the general rules of tree growth, this study established a difference equation for the relationship between the ratio of tree diameter at breast height (DBH) to the tree height and age of age of China’s main arbor species. A comparison with equations that represent the traditional tree growth models, i.e., Logistic and Richards equations, showed that the difference equations exhibited higher precision for both fitting and verification data. Moreover, the biomass carbon stocks (BCS) of Chinese forests from 2013 to 2050 were predicted by combining the 8th Chinese Ministry of Forestry and partial continuous forest inventory (CFI) data sets. The results showed that the BCS of Chinese forests would increase from 7342 to 11,030 terra grams of carbon (Tg C) in 2013–2050, with an annual biomass C (carbon) sink of 99.68 Tg C year−1, and they indicated that the Chinese land-surface forest vegetation has an important carbon sequestration capability.

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