scholarly journals Rooting behaviour and soil properties in different bamboo species of Western Himalayan Foothills, India

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
R. Kaushal ◽  
Indra Singh ◽  
S. D. Thapliyal ◽  
A. K. Gupta ◽  
D. Mandal ◽  
...  
2021 ◽  
Vol 193 (8) ◽  
Author(s):  
Rajesh Kaushal ◽  
Ambrish Kumar ◽  
N. M. Alam ◽  
I. Singh ◽  
D. Mandal ◽  
...  

2020 ◽  
Vol 27 (1) ◽  
pp. 33-38
Author(s):  
Manmohan Singh Kanwal ◽  
◽  
Rajesh Kaushal ◽  
Salil Kumar Tewari ◽  
Ratan Lal Banik ◽  
...  

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.


2021 ◽  
Author(s):  
R. Kaushal ◽  
S. Islam ◽  
Salil Tewari ◽  
J. M.S. Tomar ◽  
S. Thapliyal ◽  
...  

Abstract The rapid growth rate, high biomass production, and annual harvesting, makes bamboo as suitable species for commercial production. Allometric equations for many broadleaf and conifer tree species are available. However, knowledge on biomass production and allometric equations of bamboos are limited. This study aims at developing species specific allometric models for predicting biomass and synthetic height values as a proxy variable for seven bamboo species in Himalayan foothills. Two power form based allometric models were used to predict above ground and culm biomass using Diameter at breast height (D) alone and D in combination with culm height (H) as independent variable. This study also extended to establishing H-D allometric model that can be used to generate synthetic H values as proxy to missing H. In the seven bamboo species studied, among three major biomass component (culm, branch and foliage), culm is the most important component with highest share (69.56 to 78.71%).Distribution of percentage (%) share of culm, branch and foliage to above ground fresh weight varies significantly between different bamboo species. D. hamiltonii has highest productivity for above ground biomass components. Ratio of dry to fresh weight of seven bamboo species was estimated for culm, branch, foliage and above ground biomass to convert fresh weight to dry weight.


Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
MT Grombone-Guaratini ◽  
LM Brandão Torres ◽  
DA Faria ◽  
CM José

2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.


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