Estimation of above-ground biomass and carbon stock of an invasive woody shrub in the subtropical deciduous forests of Doon Valley, western Himalaya, India

2015 ◽  
Vol 26 (2) ◽  
pp. 291-305 ◽  
Author(s):  
Gautam Mandal ◽  
S. P. Joshi
Keyword(s):  
Carbon Stock ◽  
Western Himalaya ◽  
Deciduous Forests ◽  
Above Ground Biomass ◽  
Doon Valley ◽  
Ground Biomass

scholarly journals Comparison of Capability of SAR and Optical Data in Mapping Forest above Ground Biomass Based on Machine Learning

2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Negar Tavasoli ◽  
Hossein Arefi
Keyword(s):  
Machine Learning ◽  
Carbon Stock ◽  
Vegetation Indices ◽  
Forest Biomass ◽  
Principal Component ◽  
Optical Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Texture Characteristics ◽  
Sentinel 2

Assessment of forest above ground biomass (AGB) is critical for managing forest and understanding the role of forest as source of carbon fluxes. Recently, satellite remote sensing products offer the chance to map forest biomass and carbon stock. The present study focuses on comparing the potential use of combination of ALOSPALSAR and Sentinel-1 SAR data, with Sentinel-2 optical data to estimate above ground biomass and carbon stock using Genetic-Random forest machine learning (GA-RF) algorithm. Polarimetric decompositions, texture characteristics and backscatter coefficients of ALOSPALSAR and Sentinel-1, and vegetation indices, tasseled cap, texture parameters and principal component analysis (PCA) of Sentinel-2 based on measured AGB samples were used to estimate biomass. The overall coefficient (R2) of AGB modelling using combination of ALOSPALSAR and Sentinel-1 data, and Sentinel-2 data were respectively 0.70 and 0.62. The result showed that Combining ALOSPALSAR and Sentinel-1 data to predict AGB by using GA-RF model performed better than Sentinel-2 data.

Carbon stock assessment through above-ground biomass of trees at different forest composition in Mt. Malindawag, Lubilan, Naawan, Misamis Oriental, Philippines

2021 ◽  
Vol 11 (01) ◽  
pp. 100-113
Author(s):  
M. G. Origenes ◽  
R. L. Lapitan
Keyword(s):  
Carbon Stock ◽  
Diversity Index ◽  
Stock Assessment ◽  
Mixed Forest ◽  
Forest Composition ◽  
Above Ground Biomass ◽  
Plantation Forest ◽  
Species Diversity Index ◽  
Ground Biomass ◽  
Number Of Individuals

It is documented that the amounts of carbon stored and its level of degradation in different forests compositions and different types of forest is mostly unknown, Philippines is no exemption as little was done in some places of this country. This study was conducted to assess carbon stock through above ground biomass of trees at different forest composition in Mt. Malindawag. There were three (3) 20m x 20m sample plots (quadrats) (400m2 equivalent to 0.04 ha) established as replicate plots provided with 50m intervals. Forest composition such as the Agroforestry area, mixed forest area and the Plantation forest were assessed in terms of the number of individuals, number of species, diameter, and height to calculate the biomass, tree biomass density as well as the carbon stock. Based on the results of the study conducted in different forest compositions of Mt. Malindawag, plantation forest has the highest carbon stocking rate. However, these results were not significantly different from the other forest composition. This was associated with a higher accumulated diameter, which resulted in higher biomass and eventually carbon stock. Species found in this forest composition are productive and have lesser number of individuals; therefore, there is lesser competition for resources such as light. Such a mechanism might contribute to the higher biomass and carbon stock. However, the result may not be right to other areas due to uncontrollable factors, anthropogenic and environmental factors. Hence, it is recommended to have further studies on areas where trees have similar age, species diversity index as well as stand development and site productivity for a more accurate and quantifiable carbon stock.

scholarly journals Vegetation cover and carbon pool loss assessment due to extreme weather induced disaster in Mandakini valley, Western Himalaya

2020 ◽  
Vol 21 (1&2) ◽  
pp. 49-62
Author(s):  
Yogesh Kumar ◽  
Sanjay Babu ◽  
Sarnam Singh
Keyword(s):  
Forest Cover ◽  
Western Himalaya ◽  
Flash Floods ◽  
Extreme Weather ◽  
Carbon Pool ◽  
Coefficient Of Determination ◽  
Above Ground Biomass ◽  
Loss Assessment ◽  
Subtropical Forests ◽  
Ground Biomass

Sendai Framework for 2015-2030 emphasises on the damage and loss assessment needs and its ecosystem level impacts. We have assessed the loss of forest cover and phytomass/carbon pool in the natural forest ecosystems lost due to extreme weather conditions leading flash floods and landslides during Kedarnath tragedy on June 17, 2013 in Mandakini Valley, Uttarakhand in Western Himalaya. We used high resolution satellite IRS LISS IV (5.8 m spatial resolution) of pre-disaster (2012) & post-disaster (2013). Since lost vegetation cannot be ground inventoried, a new approach was developed wherein we used pre-disaster spectral characteristics to identify  sample locations in nearby and adjacent to affected areas. We laid 45 geotagged sample plots in May 2014 on both side of the 37 landslide affected areas within a distance of 2 km from river-bed for primary data collection. Above ground biomass and Carbon was estimated using standard protocols and used species-specific volumetric equations and wood density. Above ground biomass varied from 18.05t/ha in Alpine Scrub to 252.95 t/ha in Subtropical forests. Assuming that the biomass increment and spectral properties would not change significantly, we applied several vegetation indices to get best regression model with biomass.  We found NDVI (2014) with coefficient of determination (R2) of 0.893, SE± 0.038 with linear function as the best for geospatial modelling of the biomass for pre-flood 2013 and post-flood 2014 situations. Coefficient of determination (R²) between estimated vis-à-vis modelled biomass was 0.8643. It is found that there is a net loss of 52,055.80 tonnes of forest biomass and 24,466.14 tonnes of carbon due to landslides and flash floods. The maximum biomass/carbon was lost in the sub-tropical forests. The loss of forest cover was maximum in subtropical forests.

scholarly journals Estimation of carbon stock in seagrass communities in Central Tapanuli

2021 ◽  
Vol 944 (1) ◽  
pp. 012064
Author(s):  
Z A Harahap ◽  
Khairunnisa ◽  
I E Susetya ◽  
Y P Rahayu
Keyword(s):  
Carbon Stock ◽  
Standing Stock ◽  
Seagrass Beds ◽  
Biomass Carbon ◽  
Above Ground Biomass ◽  
Loss On Ignition ◽  
Ground Biomass ◽  
Seagrass Ecosystem ◽  
Seagrass Biomass ◽  
Below Ground

Abstract This study aims to determine the carbon stock in seagrass communities in Central Tapanuli, North Sumatera, Indonesia. The research was conducted from July to August 2020 in the coastal areas of Hajoran and Jago Jago. The parameters measured in this study were density, coverage, biomass, carbon content, and carbon stock in seagrass. Biomass analysis and carbon measurement are divided into the top (above-ground biomass) and the bottom substrate (below-ground biomass). Carbon measurements are conducted using the loss on ignition (LOI) approach. The results showed that the seagrass ecosystem on the coast of Central Tapanuli Regency, which was covered by monospecies Enhalus acoroides, was in a less healthy condition with a cover percentage of 30.3-33.3% and a density of 59-67 shoots/m2. Above-ground and below-ground seagrass biomass reached 140.19-188.72 g/m2 and 368.13-423.69 g/m2 respectively, while carbon stock reached 70.57-94.86 g Corg/m2 and 18731-19603 g Corg/m2 and total standing stock range 257.87-290.90 g Corg/m2. The data obtained from this research can be used as a database to see the potential of seagrass beds as storage of CO2 and as an effort to mitigate and adapt to climate change.

scholarly journals Mangrove Above-Ground Biomass and Carbon Stock in the Karimunjawa-Kemujan Islands Estimated from Unmanned Aerial Vehicle-Imagery

2022 ◽  
Vol 14 (2) ◽  
pp. 706
Author(s):  
Anindya Wirasatriya ◽  
Rudhi Pribadi ◽  
Sigit Bayhu Iryanthony ◽  
Lilik Maslukah ◽  
Denny Nugroho Sugianto ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Carbon Stock ◽  
Digital Terrain Model ◽  
Satellite System ◽  
Allometric Equation ◽  
Surface Model ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Carbon Biomass ◽  
Aerial Vehicle

Blue carbon ecosystems in the Karimunjawa Islands may play a vital role in absorbing and storing the releasing carbon from the Java Sea. The present study investigated mangrove above-ground biomass (AGB) and carbon stock in the Karimunjawa-Kemujan Islands, the largest mangrove area in the Karimunjawa Islands. Taking the aerial photos from an Unmanned Aerial Vehicle combined with Global Navigation Satellite System (GNSS) measurements, we generated Digital Surface Model (DSM) and Digital Terrain Model (DTM) with high accuracy. We calculated mangrove canopy height by subtracting DSM from DTM and then converted it into Lorey’s height. The highest mangrove canopy is located along the coastline facing the sea, ranging from 8 m to 15 m. Stunted mangroves 1 m to 8 m in height are detected mainly in the inner areas. AGBs were calculated using an allometric equation destined for the Southeast and East Asia region. Above-ground carbon biomass is half of AGB. The AGB and carbon biomass of mangroves in the Karimunjawa-Kemujan Islands range from 8 Mg/ha to 328 Mg/ha, and from 4 MgC/ha to 164 MgC/ha, respectively. With a total area of 238.98 ha, the potential above-ground carbon stored in the study area is estimated as 16,555.46 Mg.

Evaluation of different Bamboo species in Tarai region of Himalayan Foothills: Growth, Biomass, Carbon storage and soil properties

2020 ◽  
Vol 27 (1) ◽  
pp. 33-38
Author(s):  
Manmohan Singh Kanwal ◽  
◽  
Rajesh Kaushal ◽  
Salil Kumar Tewari ◽  
Ratan Lal Banik ◽  
...  
Keyword(s):  
Carbon Storage ◽  
Carbon Stock ◽  
Soil Health ◽  
Bamboo Species ◽  
Above Ground Biomass ◽  
Growth Behaviour ◽  
Ground Biomass ◽  
Northern India ◽  
Himalayan Foothills ◽  
Dendrocalamus Asper

Majority of the bamboo production in Northern India is accounted from forests where productivity is very low. Efforts are therefore required for enhancing the productivity of bamboos by undertaking organized cultivation outside the forest areas. The present study was undertaken for screening eight different bamboo species viz. Bambusa balcooa, B. bambos, B. nutans, B. tulda, B. vulgaris, Dendrocalamus asper, D. hamiltonii, D. strictus in terms of growth behaviour, biomass production, carbon storage potential and soil health. After six years of plantation, maximum clump height (10.67 m) and clump girth (5.93 m) was observed for B. nutans whereas minimum clump height and girth was observed for D. asper. Highest culm diameter was observed in B. vulgaris (6.23 cm). Total above ground biomass and carbon stock were maximum for D. hamiltonii (144.5 t ha-1 and 64.63 t ha-1 respectively) whereas minimum above ground biomass (14.34 t ha-1) and carbon stock (6.39 t ha-1) were accumulated by D. asper. D. hamiltonii was found to mitigate highest 237.2 t ha-1 CO2. Oxygen released from different species ranged from 17.1-172.6 t ha–1 during the six year of study. Soil health was significantly improved under all the bamboo species as compared to control. Among all bamboo species, D. hamiltonii was better species for its effect on soil health.

Organic carbon storage in the biomass and soils of hedgerows

2020 ◽  
Author(s):  
Sophie Drexler ◽  
Axel Don
Keyword(s):  
Organic Carbon ◽  
Carbon Storage ◽  
Carbon Stock ◽  
Meta Analysis ◽  
Agricultural Landscapes ◽  
Soil Protection ◽  
Biomass Carbon ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Below Ground

<p>The establishment of hedgerows as traditional form of agroforestry in Europe is a promising strategy to promote carbon sinks in the context of climate change mitigation. However, only few studies quantified the potential of hedgerows to sequester and store carbon. We therefore conducted a meta-analysis to gain a quantitative overview about the carbon storage in the above- and below-ground biomass and soils of hedgerows.</p><p>Soil organic carbon (SOC) data of hedgerows and adjacent agricultural fields of nine studies with 83 hedgerow sites was compiled. On average, the establishment of hedgerows on cropland increased SOC by 32%. No significant differences were found between the SOC storage of hedgerows and that of grassland. The literature survey on the biomass carbon stocks of hedgerows resulted in 23 sampled hedgerows, which were supplemented by own biomass data of 49 hedgerows from northern Germany. Biomass stocks increased with time since last coppicing and hedgerow height. The mean (± SD) above-ground biomass carbon stock of the analysed hedgerows was 48 ± 29 Mg C ha<sup>-1</sup>. Below-ground biomass values seemed mostly underestimated, as they were calculated from above-ground biomass via fixed assumed root:shoot ratios not specific for hedgerows. Only one study reported measured root biomass under hedgerows with a root:shoot ratio of 0.94:1 ± 0.084. With this shoot:root ratio an average below-ground biomass carbon stock of 45 ± 28 Mg C ha<sup>-1 </sup>was estimated, but with high uncertainty.</p><p>Thus, the establishment of hedgerows on cropland could lead to a SOC sequestration of 1.0 Mg C ha<sup>-1</sup> year<sup>-1</sup> over a 20-year period. Additionally, up to 9.4 Mg C ha<sup>-1</sup> year<sup>-1</sup> could be sequestered in the hedgerow biomass over a 10 year period. In total, hedgerows store 106 ± 41 Mg C ha<sup>-1</sup> more C than croplands. Our results indicate that organic carbon stored in hedgerows is similar high as in forests. We discuss how the establishment of hedgerows, especially on cropland, can thus be an effective option for C sequestration in agricultural landscapes, meanwhile enhance biodiversity, and soil protection.</p>

Sign in / Sign up

Export Citation Format

Share Document