Temporal variation in tree biomass and carbon stocks of Pinus roxburghii Sargent forests of Rajouri forest division in Jammu & Kashmir State

2017 ◽  
Vol 18 (3) ◽  
pp. 123-133
Author(s):  
Rajeshwar Singh Jasrotia ◽  
◽  
Anil K. Raina ◽  
2021 ◽  
pp. 1-15
Author(s):  
Ferdinand Handavu ◽  
Stephen Syampungani ◽  
Gudeta W. Sileshi ◽  
Paxie W. C. Chirwa

2018 ◽  
Vol 6 ◽  
pp. 61-67
Author(s):  
Karishma Gubhaju ◽  
Dipesh Raj Pant ◽  
Ramesh Prasad Sapkota

Forests store significant amount of atmospheric carbon in the form of above and below ground biomass and the amount of carbon stored in forests differs along spatial continuum which provides important information regarding forest quality. This study was carried out to estimate the carbon stock of Shree Rabutar Forest of Gaurishankar Conservation Area, Dolakha, Nepal. In total, 20 circular sampling plots with an area 250 m2 were randomly laid in the study area. Ten tree species were observed in the sampling plots laid in the forest. The higher values of density, frequency, abundance and basal area were observed for Rhododendron arboreum, Alnus nepalensis, Pinus roxburghii and Pinus wallichiana. On the basis of Important Value Index, the dominant tree in the forest was Alnus nepalensis followed by Rhododendron arboreum and Pinus roxburghii. Shannon Index of general diversity of trees in the forest was 0.74 with equal value of Evenness Index, whereas the index of dominance was low (0.22) in the forest. Mean biomass of the forest was 464.01±66.71 tonha-1 contributed by above ground tree biomass (384.44 tonha-1), leaf litter, herbs and grasses biomass (2.69±0.196 tonha-1) and below ground tree biomass (76.88±11.13 tonha-1). Mean carbon stock was 262.77±30.79 tonha-1 including soil carbon stock 44.69±2.25 tonha-1. Individuals of trees with 20-30 cm DBH class were observed in maximum number, which shows that the forest has high potential to sequester carbon over time. Carbon stock estimation and forest management can be one of the potential strategies for climate change mitigation especially through carbon dioxide absorption by the forests.


Author(s):  
Maheswarappa V. ◽  
R. Vasudeva ◽  
Ramakrishna Hegde ◽  
Guddappa M. Devagiri ◽  
Javaregowda ◽  
...  

2008 ◽  
Vol 8 (2) ◽  
pp. 21-29 ◽  
Author(s):  
Simone Aparecida Vieira ◽  
Luciana Ferreira Alves ◽  
Marcos Aidar ◽  
Luciana Spinelli Araújo ◽  
Tim Baker ◽  
...  

The main objective of this paper is to present and discuss the best methods to estimate live above ground biomass in the Atlantic Forest. The methods presented and conclusions are the products of a workshop entitled "Estimation of Biomass and Carbon Stocks: the Case of Atlantic Rain Forest". Aboveground biomass (AGB) in tropical forests is mainly contained in trees. Tree biomass is a function of wood volume, obtained from the diameter and height, architecture and wood density (dry weight per unit volume of fresh wood). It can be quantified by the direct (destructive) or indirect method where the biomass quantification is estimated using mathematical models. The allometric model can be site specific when elaborated to a particular ecosystem or general that can be used in different sites. For the Atlantic Forest, despite the importance of it, there are only two direct measurements of tree biomass, resulting in allometric models specific for this ecosystem. To select one or other of the available models in the literature to estimate AGB it is necessary take into account what is the main question to be answered and the ease with which it is possible to measure the independent variables in the model. Models that present more accurate estimates should be preferred. However, more simple models (those with one independent variable, usually DBH) can be used when the focus is monitoring the variation in carbon storage through the time. Our observations in the Atlantic Forest suggest that pan-tropical relations proposed by Chave et al. (2005) can be confidently used to estimated tree biomass across biomes as long as tree diameter (DBH), height, and wood density are accounted for in the model. In Atlantic Forest, we recommend the quantification of biomass of lianas, bamboo, palms, tree ferns and epiphytes, which are an important component in this ecosystem. This paper is an outcome of the workshop entitled "Estimation of Biomass and Carbon Stocks: the Case of Atlantic Rain Forest", that was conducted at Ubatuba, São Paulo, Brazil, between 4 and 8 December 2006 as part of the Brazilian project "Ombrophylus Dense Forest floristic composition, structure and function at the Núcleos Picinguaba and Santa Virginia of the Serra do Mar State Park", BIOTA Gradiente.


2016 ◽  
Vol 29 (2) ◽  
pp. 188 ◽  
Author(s):  
Dedi Hermon

This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling technique was stratified purposive composite sampling which used plot technique. The estimate of tree biomass used allometric equation. The estimate of carbon stocks in each land cover in 1990 was measured based on the total of carbon stocks in 2014 which was conversed with the areas of each land cover in 1990. Spatial model of land cover changes in LEA in 1990-2014 showed the changes of area in each land cover which caused the changes of carbon stocks in each land cover as well.


2012 ◽  
Vol 26 (1) ◽  
pp. 45
Author(s):  
Dedi Hermon

The purpose of this study was to analyse the dynamics of carbon stocks changes from land cover into land settlement in the Padang City, West Sumatra. Method to formulate the change of land cover into land settlement in the Padang City is the analysis of Landsat Imagery 5+TM 1988, Landsat 7+ETM Image of 1998 and Landsat 7+ETM Image of 2008. Stratified Sampling Technique was Purpose Composite plot refers to the technique, but in this study carried out modification to the size of the plot which is then converted to the extend of each hectare of land cover. Estimating tree biomass using the equation according Kattering allometric, (2001). The result of the research conducted found that the dynamics of carbon stocks always decline from 1988, 1998 and 2008. This is caused by a reduction in forest area, shrubs, gardens, and fields are consistently due to the increased amount of land used for settlement.


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