scholarly journals Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand

2021 ◽  
Vol 13 (16) ◽  
pp. 9344
Author(s):  
John Nyandansobi Simon ◽  
Narissara Nuthammachot ◽  
Teerawet Titseesang ◽  
Kingsley Ezechukwu Okpara ◽  
Kuaanan Techato
Keyword(s):  
Value Chain ◽  
Net Primary Productivity ◽  
Carbon Sink ◽  
Rubber Tree ◽  
Biomass Accumulation ◽  
Mean Value ◽  
Generic Model ◽  
Above Ground Biomass ◽  
Value Chain Analysis ◽  
Ground Biomass

Currently, Songkhla Province of Thailand has been recognized as a convenient hub of rubber industry development, accompanied by an attendant abundance of rubber tree plantations. A spatialized assessment of the rubber tree was carried out to estimate its aboveground biomass potentials using remote sensing techniques and ecosystem modeling procedures. Moderate Resolution Imaging Spectroradiometer satellite-based estimations of the net primary productivity were derived and complemented with a calculated generic model, to quantify the respective above ground biomass potentials para rubber. Above ground biomass assessment findings revealed a mean value of 82.1 tonnes C ha−1 and an aggregate of 31. 9 million tonnes C ha−1 which is the theoretical potential, this is segregated into energy usable, and other economic purpose biomass potentials, with corresponding value ranges of 1624.1 to 6,041,531.2 million tonnes C ha−1 and 85.5 to 317,975.6 thousand tonnes C ha−1 respectively. Besides the theoretical above ground biomass potential (entire biomass accumulation ratio) commonly evaluated, the other potentials, which include naturally obtainable biomass usable for energy generation and the remaining share of the feedstock for non-energy uses, have been brought to light. Songkhla province has the potential for good carbon sink and sustainable supply of different pools of feedstock from the rubber tree that reinforces each other in providing a comprehensive view of biomass in energy and non-energy opportunities. The socioeconomic production and value chain analysis of the identified biomass pools needs to be evaluated; this will consequently guide policy toward a comprehensive rubber sector sustainable development.

Above-ground biomass accumulation and nitrogen fixation of broom (Cytisus scoparius L.) growing with juvenile Pinus radiata on a dryland site

2003 ◽  
Vol 184 (1-3) ◽  
pp. 93-104 ◽  
Author(s):  
Michael S. Watt ◽  
Peter W. Clinton ◽  
David Whitehead ◽  
Brian Richardson ◽  
Euan G. Mason ◽  
...  
Keyword(s):  
Nitrogen Fixation ◽  
Pinus Radiata ◽  
Biomass Accumulation ◽  
Cytisus Scoparius ◽  
Above Ground Biomass ◽  
Ground Biomass

Effect of thinning on above-ground biomass accumulation in a Douglas-fir plantation in southern Italy

2016 ◽  
Vol 27 (6) ◽  
pp. 1313-1320 ◽  
Author(s):  
Vittoria Coletta ◽  
Giuliano Menguzzato ◽  
Gaetano Pellicone ◽  
Antonella Veltri ◽  
Pasquale Antonio Marziliano
Keyword(s):  
Southern Italy ◽  
Biomass Accumulation ◽  
Douglas Fir ◽  
Above Ground Biomass ◽  
Ground Biomass

scholarly journals Diversity, Population Structure, and Above Ground Biomass in Woody Species on Ngomakurira Mountain, Domboshawa, Zimbabwe

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Clemence Zimudzi ◽  
Christopher Chapano
Keyword(s):  
Small Diameter ◽  
Basal Area ◽  
Woody Species ◽  
Distribution Patterns ◽  
Wiener Index ◽  
Mean Value ◽  
Stem Density ◽  
Above Ground Biomass ◽  
Systematic Random Sampling ◽  
Ground Biomass

The diversity, structure, species composition, and above ground biomass of woody plants on Ngomakurira mountain in Zimbabwe were studied. A systematic random sampling approach was adopted to establish 52 sampling plots measuring 10 × 10 m across 3 study strata in the 1266 ha study area. Woody species occurring in each plot were identified and the circumferences of trees with diameters >8.0 cm at 1.3 m height were measured. A total of 91 species belonging to 74 genera and 39 families were identified in the sample plots. A Shannon-Wiener index mean value of 3.12 was obtained indicating high species diversity on the mountain. The DBH size class distribution showed inverse J distribution patterns across the three study strata, but with only 3 individual plants with DBH > 30 cm. Mean basal area was 15.21 m2 ha−1 with U. kirkiana and J. globiflora contributing approximately 30% of the basal area. The estimated above ground biomass ranged from 34.5 to 65.1 t ha−1. Kruskal-Wallis-H test showed no significant differences in species richness, stem density, basal area, above ground biomass, and evenness, across the study strata (p<0.05). Ngomakurira woodland has potential to regenerate due to the presence of many stems in the small diameter size classes.

scholarly journals Estimating above-ground biomass of subtropical forest using airborne LiDAR in Hong Kong

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Evian Pui Yan Chan ◽  
Tung Fung ◽  
Frankie Kwan Kit Wong
Keyword(s):  
Hong Kong ◽  
Point Cloud ◽  
Carbon Sink ◽  
Subtropical Forest ◽  
Airborne Lidar ◽  
Above Ground Biomass ◽  
Forest Protection ◽  
Subtropical Forests ◽  
Plot Size ◽  
Ground Biomass

AbstractSeventy-percent of the terrestrial area of Hong Kong is covered by vegetation and 40% is protected as the Country Park. The above-ground biomass (AGB) acts as reliable source of carbon sink and while Hong Kong has recognized the importance of carbon sink in forest and urged for forest protection in the latest strategic plan, yet no study has been conducted on assessing the baseline of terrestrial AGB and its carbon storage. This study compared and estimated the AGB by the traditional allometric modeling and the Light Detection and Ranging (LiDAR) plot metrics at plot-level in a subtropical forest of Hong Kong. The study has tested five allometric models which were developed from pantropical regions, subtropical areas and locally. The best model was then selected as the dependent variable to develop the LiDAR-derived AGB model. The raw LiDAR point cloud was pre-processed to normalized height point cloud and hence generating the LiDAR metric as independent variables for the model development. Regression models were used to estimate AGB at various plot sizes (i.e., in 10-m, 5-m and 2.5-m radius). The models were then evaluated statistically and validated by bootstrapping and leave-one-out cross validation (LOOCV). The results indicated the LiDAR metric derived from larger plot size outperformed the smaller plot size, with model R2 of 0.864 and root-mean-square-error (RMSE) of 37.75 kg/ha. It also found that pantropical model was comparable to a site-specific model when including the bioclimatic variable in subtropical forests. This study provides the approach for delineating the baseline of terrestrial above-ground biomass and carbon stock in subtropical forests upon an appropriate plot size is being deployed.

scholarly journals Structure and biomass accumulation of natural mangrove forest at Gazi Bay, Kenya

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
JAMES G. KAIRO ◽  
MICHAEL NJOROGE GITHAIGA ◽  
KIPLAGAT KOTUT ◽  
FRANCIS KARIUKI
Keyword(s):  
Forest Structure ◽  
Mangrove Forest ◽  
Biomass Accumulation ◽  
Shoot Biomass ◽  
Total Biomass ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Significant Difference ◽  
Below Ground ◽  
Gazi Bay

Abstract. Githaiga MN, Kotut K, Kariuki F, Kairo JG. 2019. Structure and biomass accumulation of natural mangrove forest at Gazi Bay, Kenya. Bonorowo Wetlands 9: 18-32. The goal of this study was to determine the forest structure and estimate biomass accumulation above and below ground in the mangrove forest of Gazi Bay. The western, middle, and eastern forest blocks of the Gazi Bay mangrove forest were investigated for forest structure, whereas the western forest block was determined for biomass accumulation. To calculate below-ground biomass accumulation, in-growth cores of 80 cm long, 20 cm broad, and 60 cm deep were employed. Above-ground biomass accumulation was calculated using data on tree height and stem diameter at breast height (DBH-130). Leaf phenology was observed by tagging shoots. At the start, environmental variables were measured every four months for a year across four mangrove species zones. The linear regeneration sampling approach was used to determine the composition and distribution pattern of natural regeneration (LRS). Salinity revealed a strong negative connection with above-ground biomass accumulation among the soil environment characteristics studied. Sonneratia alba had the highest biomass accretion rate of 10.5 1.9 t ha-1 yr-1 among the four forest zones. Rhizophora mucronata (8.5 0.8 t ha-1 yr-1), Avicennia marina (5.2 1.8 t ha-1 yr-1), and Ceriops tagal (2.6 1.5 t ha-1 yr-1) were the next most abundant species. Above-ground and below-ground biomass accumulation differed significantly among zones (F (3, 8) = 5.42, p = 0.025) and (F (3, 8) = 16.03, p = 0 001), respectively. There was a significant difference in total biomass accumulation across zones (F (3, 8) =15.56, p = 0.001). For the entire forest, a root : shoot biomass accumulation ratio of 2 : 5 was calculated. This study's findings provide more accurate estimates of mangrove carbon capture and storage, which can be used in carbon credit discussions in the emerging carbon market.

scholarly journals MICROBIC DRUGS IN TECHNOLOGIES OF FLAX CULTIVATION

2008 ◽  
Vol 7 ◽  
pp. 109-114
Author(s):  
O.Y. Lokot ◽  
Y.P. Кornuta
Keyword(s):  
Biomass Accumulation ◽  
Morphological Features ◽  
Above Ground Biomass ◽  
Complex Action ◽  
Biometric Parameters ◽  
Ground Biomass ◽  
Presowing Treatment ◽  
Agricultural Method

The presowing treatment of flax with the microbic drug of complex action microgumin provides essential increase of productivity of culture. Such agricultural method promotes dynamics of above-ground biomass accumulation, improvement of biometric parameters of sowings and morphological features of plants.

Modelling above ground biomass accumulation of mangrove plantations in Vietnam

2019 ◽  
Vol 432 ◽  
pp. 376-386 ◽  
Author(s):  
Sang Minh Phan ◽  
Huong Thuy Thi Nguyen ◽  
Trung Kim Nguyen ◽  
Catherine Lovelock
Keyword(s):  
Biomass Accumulation ◽  
Above Ground Biomass ◽  
Ground Biomass
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