scholarly journals Evaluation on Carbon Storage in Aboveground Biomass of Yang na at Plant Genetic Protection Area, Ubon Ratchathani Province

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Penprapa Phetcharaburanin ◽  
◽  
Nittaya Chakkamrun ◽  
Pimpisa Kulninworpaeng ◽  
◽  
...  
Keyword(s):  
Carbon Storage ◽  
Aboveground Biomass ◽  
Protection Area

scholarly journals Allometric Equation Development, Biomass, and Aboveground Productivity in Ponderosa Pine Forests, Black Hills, Wyoming

2010 ◽  
Vol 25 (3) ◽  
pp. 112-119 ◽  
Author(s):  
Daniel Tinker ◽  
Gail K. Stakes ◽  
Richard M. Arcano
Keyword(s):  
Carbon Storage ◽  
Ponderosa Pine ◽  
Aboveground Biomass ◽  
Carbon Allocation ◽  
Black Hills ◽  
Allometric Equations ◽  
Pine Forests ◽  
Mature Trees ◽  
Ponderosa Pine Forests ◽  
Aboveground Productivity

Abstract Temperate forest ecosystems continue to play an important role in the global carbon cycle, and the ability to accurately quantify carbon storage and allocation remains a critical tool for managers and researchers. This study was aimed at developing new allometric equations for predicting above- and belowground biomass of both mature trees and saplings of ponderosa pine trees in the Black Hills region of the western United States and at evaluating thinning effects on biomass pools and aboveground productivity. Study sites included three stands that had been commercially thinned and one unmanaged stand. Nine allometric equations were developed for mature trees, and six equations were developed for saplings; all models exhibited strong predictive power. The unmanaged stand contained more than twice as much total aboveground biomass as any of the thinned stands. Aboveground biomass allocation among tree compartments was similar among the three older stands but quite different from the young, even-aged stand. Stand-level aboveground net primary production was higher in the unmanaged and intensively managed stands, yet tree-level annual productivity was much lower in the unmanaged stands than in any of the managed forests, suggesting that thinning of some forest stands may increase their ability to sequester and store carbon. Our data also suggest that different management approaches did not have the same effect on carbon allocation as they did on total carbon storage capacity, but rather, stand age was the most important factor in predicting carbon allocation within individual trees and stands. Identification of the relationships between stand structure and forest management practices may help identify various management strategies that maximize rates of carbon storage in ponderosa pine forests.

scholarly journals Storage and Climatic Controlling Factors of Litter Standing Crop Carbon in the Shrublands of the Tibetan Plateau

Forests ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 987 ◽  
Author(s):  
Nie ◽  
Wang ◽  
Yang ◽  
Zhou
Keyword(s):  
Tibetan Plateau ◽  
Carbon Cycle ◽  
Carbon Storage ◽  
Aboveground Biomass ◽  
Standing Crop ◽  
Controlling Factors ◽  
The Tibetan Plateau ◽  
Terrestrial Carbon Cycle ◽  
Litter Standing Crop ◽  
Positive Effect

Litter is an important component of terrestrial ecosystems and plays a significant role in carbon cycles. Quantifying regional-scale patterns of litter standing crop distribution will improve our understanding of the mechanisms of the terrestrial carbon cycle, and thus enable accurate predictions of the responses of the terrestrial carbon cycle to future climate change. In this study, we aimed to estimate the storage and climatic controlling factors of litter standing crop carbon in the Tibetan Plateau shrublands. We investigated litter standing crop carbon storage and its controlling factors, using a litter survey at 65 shrublands sites across the Tibetan Plateau from 2011–2013. Ordinary least squares regression analyses were conducted to estimate the relationships between litter standing crop carbon, longitude, and latitude. Multiple linear regressions were used to evaluate relationships among litter standing crop carbon, mean annual temperature (MAT), mean annual precipitation (MAP), and aboveground biomass. The litter standing crop carbon storage was 10.93 Tg C, 7.40 Tg C, and 3.53 Tg C in desert shrublands and alpine shrublands, respectively. Litter standing crop carbon decreased with longitude, and was stable with increasing latitude. Most (80%) of the litter standing crop was stored in branches, with only 20% stored in foliage in the shrublands on the Tibetan Plateau. The conversion coefficient was 0.44 for litter standing crop to litter standing crop carbon, and 0.39 and 0.45 for foliage and branch litter standing crop to foliage and branch litter standing crop carbon, respectively. Aboveground biomass can accelerate more inputs of litter and has a positive effect on litter standing crop carbon. MAT had a positive effect on litter standing crop carbon due to stimulating more input of aboveground biomass. However, MAP had a negative relationship with litter standing crop carbon by enhancing litter decomposition.

Spatial patterns of tree and shrub biomass in a deciduous forest using leaf-off and leaf-on lidar

2018 ◽  
Vol 48 (9) ◽  
pp. 1020-1033 ◽  
Author(s):  
Kristen M. Brubaker ◽  
Quincey K. Johnson ◽  
Margot W. Kaye
Keyword(s):  
Carbon Storage ◽  
Spatial Patterns ◽  
Aboveground Biomass ◽  
Deciduous Forest ◽  
Abiotic Factors ◽  
Slope Position ◽  
Fine Scale ◽  
Shrub Biomass ◽  
Topographic Positions ◽  
Aboveground Carbon Storage

Understanding patterns of aboveground carbon storage across forest types is increasingly important as managers adapt to threats of global change. We combined field measures of aboveground biomass with lidar to model fine-scale biomass in deciduous forests located in two watersheds; one watershed was underlain by sandstone and the other by shale. We measured tree and shrub biomass across three topographic positions for both watersheds and analyzed biomass using mixed models. The watershed underlain by shale had 60% more aboveground biomass than the sandstone watershed. Although spatial patterns of biomass were different across watersheds, both had higher (between about 40% and 55%) biomass values at the toe-slope position than at the ridge-top position. To model fine-scale spatial patterns of biomass, we tested the effectiveness of leaf-on and leaf-off lidar combined with topographic metrics to develop a spatially explicit random forest model of tree and shrub biomass across both watersheds. Leaf-on variables were more important for modeling shrub biomass, while leaf-off variables were more effective at modeling tree biomass. Our model of tree and shrub biomass reflects the distribution of biomass across both watersheds at a fine scale and highlights the potential of abiotic factors such as topography and bedrock to affect carbon storage.

scholarly journals Vegetation structure, aboveground biomass, and carbon storage of wono¸ a local forest management in Gunungkidul, Yogyakarta, Indonesia, across three geomorphological zones

2021 ◽  
Vol 22 (8) ◽  
Author(s):  
Tohirin Tohirin ◽  
Priyono Suryanto ◽  
Ronggo Sadono
Keyword(s):  
Forest Management ◽  
Carbon Storage ◽  
Aboveground Biomass ◽  
Vegetation Structure ◽  
Carbon Dioxide Emissions ◽  
Local Community ◽  
Renewable Energy Sources ◽  
Biomass Estimation ◽  
Important Species ◽  
20 M 10

Abstract. Tohirin, Suryanto P, Sadono R. 2021. Vegetation structure, aboveground biomass, and carbon storage of wono¸ local forest management in Gunungkidul, Yogyakarta, Indonesia, across three geomorphological zones. Biodiversitas 22: 3207-3218. Wono is local community-based forest management in Gunungkidul District, Yogyakarta. This land use has the potential to reduce carbon dioxide emissions through their carbon sequestration capacity as well as to produce renewable energy sources through wood biomass for charcoal and wood pellet. Since Gunungkidul is unique in terms of geomorphological characteristics, study on the vegetation structure, biomass estimation, and carbon storage of wono across geomorphological zones are important. Therefore, this study describes the vegetation structure of wono in three geomorphological zones of Gunungkidul District, as well as estimates the aboveground living biomass (AGB) and aboveground living carbon storage (AGC). The quadratic sampling technique was used to collect data for vegetation analysis with the size of the plots were 20 m x 20 m, 10 m x 10 m, 5 m x 5 m, and 2 m x 2 m for trees, poles, saplings, and seedlings, respectively. A total of 32 plots were established, consisting of 18 plots in Nglanggeran Village, 12 plots in Dengok Village, and six plots in Girisekar Village, each village representing geomorphological zones of Batur Agung, Ledok Wonosari, and Pegunungan Seribu, respectively. The AGB was performed non-destructively and estimated using referenced allometric equations. Furthermore, the AGC was calculated using a conversion factor of 0.47 from the obtained AGB. The results showed that the identified species at wono in Batur Agung, Ledok Wonosari, and Pegunungan Seribu zones were 13, 7, and 8, respectively. Swietenia macrophylla had the highest important value index (IVI) of 185.22% in the Batur Agung zone, while Tectona grandis was the most important species in both the Ledok Wonosari and Pegunungan Seribu zones with IVI= 238.27% and 178.60%, respectively. The biodiversity in these three zones was very low in terms of species diversity (H' < 2) and species richness (R1 < 3.4). The estimated AGB and calculated AGC in the Batur Agung, Ledok Wonosari, and Pegunungan Seribu zones were 210.96 ton ha-1 and 99.15 ton C ha-1, 73.58 ton ha-1 and 34.58 ton C ha-1, and 57.92 ton ha-1 and 27.22 ton C ha-1, respectively.

scholarly journals Carbon Storage in Beech Stands on the Chřiby Uplands

2015 ◽  
Vol 34 (1) ◽  
Author(s):  
Jiří Schneider ◽  
Kateřina Holušová ◽  
Jan Rychtář ◽  
Ilja Vyskot ◽  
Ivana Lampartová
Keyword(s):  
Forest Soil ◽  
Carbon Storage ◽  
Aboveground Biomass ◽  
Woody Debris ◽  
European Beech ◽  
Belowground Biomass ◽  
Total Carbon ◽  
Fagus Sylvatica L ◽  
Quantitative Results ◽  
Scientific Statement

AbstractThe submitted scientific statement is a contribution to solutions of monitoring the storage of carbon in the woods and its emissions. Four permanent research plots were established in the area of the Chřiby uplands in the Czech Republic. The plots are made of forest stands with nearly 100% of European beech (Fagus sylvatica L.). The stands form simple spatial structures of about the same age (about 180 years). They represent, however, varying site conditions (dwarf acid beech stands, herb-rich beech stands and transitions between them). For quantification of carbon storage, standard dendrometric methods and the Field-Map technology were used. The total amount of carbon was established as the sum of further documented carbon storages in the aboveground biomass, the belowground biomass, woody debris and the forest soil. Determination of total amount of carbon was addressed in a version manner. In the first version, the estimate of the total amount of carbon was established based on Wutzler et al. (2008) equations for the aboveground biomass (AGB) and the belowground biomass (BB). In the second version, the AGB was calculated according to Joosten et al. (2004), the BB according to Wirth et al. (2003), the values of storages were consistent with Mund (2004) for woody debris, and with Mackù in Kolektiv (2007) for forest soil. Total carbon storage per hectare of stand is in average 370.2 t. Obtained outcomes support the quantitative results of latest research related to carbon in the woods.

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