Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Noor Mohamed, M. B.
- Wood Specific Gravity of Trees in Hot Semi-Arid Zone of India:Diversity among Species and Relationship between Stem and Branches
Abstract Views :264 |
PDF Views:78
Authors
Dipak Kumar Gupta
1,
R. K. Bhatt
2,
A. Keerthika
1,
A. K. Shukla
1,
M. B. Noor Mohamed
1,
B. L. Jangid
1
Affiliations
1 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-306 401, IN
2 ICAR-Central Arid Zone Research Institute, Jodhpur-342 003, IN
1 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-306 401, IN
2 ICAR-Central Arid Zone Research Institute, Jodhpur-342 003, IN
Source
Current Science, Vol 113, No 08 (2017), Pagination: 1597-1600Abstract
Wood specific gravity (WSG) is an important parameter in allometric equations for accurate estimation of C-sequestration and other functional properties of a tree. However, WSG of many tree species especially of arid and semi-arid regions is poorly reported. Further, identifying indirect methods for determination of stem WSG from branches may be rapid and relatively easy. The present study determined WSG of stem and branches of 21 tree species in the hot semi-arid region of Western India. Three individual trees from each species were randomly selected and sampled for determination of WSG of stem, primary and secondary branch. WSG varied significantly among the species (F = 42.83, P < 0.001) and sampling locations (stem and branches) (F = 29.43, P < 0.001). In stem (at DBH), it ranged from 0.42 ± 0.04 to 0.74 ± 0.03 among the species while within an individual tree it varied in order of stem > primary branch > secondary branch in most species. WSG of stem and branches showed linear relationship and branches were found a good predictor of stem WSG (R2 > 0.83).Keywords
Arid Region, Branch, Tree Biomass, Wood Specific Gravity.Full Text
References
- IPCC, Summary for Policymakers. In Climate Change 2014, Mitigation of Climate Change, Contribution of Working Group III to the Fifth Assessment Report. Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, USA, 2014.
- Chave, J. et al., Improved allometric models to estimate the aboveground biomass of tropical trees. Glo. Chang. Biol., 2014, 20, 3177–3190.
- Elias, M. and Potvin, C., Assessing inter and intraspecific variation in trunk carbon concentration for 32 neotropical tree species. Can. J. Forest. Res., 2003, 33(6), 1039–1045.
- Mangalassery, S., Dayal, D., Meena, S. L. and Ram, B., Carbon sequestration in agroforestry and pasture systems in arid northwestern India. Curr. Sci., 2014, 107(8), 1290–1293.
- Muller-Landau, H., Interspecific and inter-site variation in wood specific gravity of tropical trees. Biotropica, 2004, 36, 20–32.
- Fortunel, C., Ruelle, J., Beauchene, J., Fine, P. V. A. and Christopher Baraloto, Wood specific gravity and anatomy of branches and ischolar_mains in 113 Amazonian rainforest tree species across environmental gradients. New Phytol., 2014, 202, 79–94.
- Swenson, N. G. and Enquist, B. J., The relationship between stem and branch wood specific gravity and the ability of each measure to predict leaf area. Am. J. Bot., 2008, 95(4), 516–519.
- Henry, M. et al., Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa. Forest Ecol. Manag., 2010, 260, 1375–1388.
- Zhou, X., Brandle, J. R., Awada, T. N., Schoeneberger, M. M., Martin, D. L., Xin, Y. and Tang, Z., The use of forest-derived specific gravity for the conversion of volume to biomass for opengrown trees on agricultural land. Biomass Bioenergy, 2011, 35, 1721–1731.
- Cornelissen, J. H. C. et al., A handbook of protocols standardisation and easy measurement of plant functional traits worldwide. Aust. J. Bot., 2003, 51, 335–380.
- Williamson, G. B. and Wiemann, M. C., Measuring wood specific gravity … correctly. Am. J. Bot., 2010, 97(3), 519–524.
- Navarro, M., Moya, R., Chazdon, R., Ortiz, E. and Vilchez, B., Successional variation in carbon content and wood specific gravity of four tropical tree species. Bosque, 2013, 34(1), 33–43.
- Yeboah, D., Burton, W. J., Storer, A. J. and Opuni-Frimpong, E., Variation in wood density and carbon content of tropical plantation tree species from Ghana. New Forest., 2014, 45, 35–52.
- Sheikh, M. A., Kumar, M. and Bhat, J. A., Wood specific gravity of some tree species in the Garhwal Himalayas, India. For. Stud. China, 2011, 13(3), 225–230.
- Osuri, A. M., Kumar, V. S. and Sankaran, M., Altered stand structure and tree allometry reduce carbon storage in evergreen forest fragments in India’s Western Ghats. Forest Ecol. Manag., 2014, 329, 375–383.
- Espinoza, J. A., Within-tree density gradients in Gmelina arborea in Venezuela. New Forest., 2004, 28, 309–317.
- Carbon Sequestration Potential of Hardwickia Binata Roxb. Based Agroforestry in Hot Semi-Arid Environment of India: An Assessment of Tree Density Impact
Abstract Views :192 |
PDF Views:78
Authors
Dipak Kumar Gupta
1,
R. K. Bhatt
2,
A. Keerthika
1,
M. B. Noor Mohamed
1,
A. K. Shukla
1,
B. L. Jangid
1
Affiliations
1 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-Marwar - 306 401, IN
2 ICAR-Central Arid Zone Research Institute, Jodhpur - 342 003, IN
1 ICAR-Central Arid Zone Research Institute, Regional Research Station, Pali-Marwar - 306 401, IN
2 ICAR-Central Arid Zone Research Institute, Jodhpur - 342 003, IN
Source
Current Science, Vol 116, No 1 (2019), Pagination: 112-116Abstract
Agroforestry is one of the most promising options for climate change mitigation through carbon sequestration. However, carbon sequestered in agroforestry system depends on various factors like type of tree species, tree density, system age, soil and climate. One of the most important factors for enhancing carbon sequestration per unit land is tree density. Hardwickia binata Roxb. has been reported as suitable agroforestry tree species with multiple benefits in arid and semi-arid region, however, the role and impact of tree density in carbon sequestration is poorly reported. This study estimated impact of tree density (D1 = 333 tree ha-1 and D2 = 666 tree ha-1) on carbon sequestration potential of 30-year-old H. binata Roxb. + Cenchrus setigerus silvipasture system in hot semiarid region of Rajasthan. The carbon sequestered in tree biomass was estimated by reported allometric equations, whereas in soil it was determined by Walkley and Black method. Results showed significant impact of tree density on carbon sequestration per unit tree and per hectare land. The average biomass carbon sequestered by a tree was significantly more (44.5%) in low density (D1) compared to high density (D1) system. However, total biomass carbon sequestered per hectare land was significantly more (40.8%) in high density system (31.6 ± 12.6 Mg C ha-1. Carbon sequestered in soil organic matter was higher in both D1 and D1 systems compared to control (sole Cenchrus setigerus field). It ranged from 19.93 ± 0.31 Mg C ha-1 in control to 22.94 ± 0.65 Mg C ha-1 and 23.25 ± 0.78 Mg C ha-1 in D1 and D2 respectively. The total carbon sequestered (below and above ground tree biomass and soil organic carbon) was in the order D2 > D1 > control.Keywords
Agroforestry, Allometric Equation, Arid and Semiarid Regions, Silvipasture, C-Sequestration, Tree Density.Full Text
References
- Core Writing Team, Pachauri, R. K. and Meyer, L. A. (eds), IPCC Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, Geneva, Switzerland, 2014, p. 151.
- Verchot, L. V. et al., Climate changes: linking adaptation and mitigation through agroforestry. Mitig. Adapt. Strat. Gl. Change, 2007, 12, 901-910.
- Koohafkan, P., Altieri, A. M. and Gimenez, H. E., Green Agriculture: foundations for biodiverse, resilient and productive agricultural systems. Int. J. Agric. Sustain., 2012, 10, 61-75.
- Dhyani, S. K., Ram, A. and Dev, I., Potential of agroforestry systems in carbon sequestration in India. Indian J. Agric. Sci., 2016, 86, 1103-1112.
- Kaul, M., Mohren, G. M. J. and Dadhwal, V. K., Carbon storage and sequestration potential of selected tree species in India. Mitig. Adapt. Strat. Gl. Change, 2010, 15, 489-510.
- Shanker, A. K., Newaj, R., Rai, P., Solanki, K. R., Kareemulla, K., Tiwari, R. and Ajit, Microclimate modifications, growth and yield of intercrops under Hardwickia binata Roxb. based agroforestry system. Arch. Agron. Soil Sci., 2005, 51, 253-268.
- Singh, G. and Rathod, T. R., Tree and crop growth and soil resource availability in Hardwickia binata Roxb agroforestry systems in the Indian desert. Arid Land Res. Manage., 2007, 21, 193- 210.
- Newaj, R., Chavan, S. B., Alam, B. and Dhyani, S. K., Biomass and carbon storage in trees grown under different agroforestry systems in semi-arid region of Central India. Indian Forester, 2016, 142, 642-648.
- Rai, P., Solanki, K. R. and Singh, U. P., Growth and biomass production of multipurpose tree species in natural grass land under semi-arid condition. Indian J. Agroforest., 2000, 2, 101-103.
- Misra, K. K., Rai, P. N. and Jaiswal, H. R., Effect of spacing and plant density on the growth of poplar (Populus deltoides Bartr. Ex Marsh). Indian Forester, 1996, 122, 65-68.
- Silva, P. S. L. et al., Biomass of tree species as a response to planting density and interspecific competition. Revista Árvore, 2014, 38, 319-329.
- Singh, G., Mutha, S. and Bala, N., Effect of tree density on productivity of a Prosopis cineraria agroforestry system in North Western India. J. Arid Environ., 2007, 70, 152-163.
- Chave, J. et al., Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biol., 2014, 20, 3177-3190.
- Singh, G. and Singh, B., Rooting pattern and equations for estimating biomasses of Hardwickia binata and Colophospermum mopane trees in agroforestry system in Indian desert. Research and reviews. J. Bot. Sci., 2015, 4, 30-40.
- Walkley, A. and Black, I. A., An examination of the Degtjareff method for determining soil organic matter, and proposed modification of the chromic acid titration method. Soil Sci., 1934, 37, 29-38.
- Black, C. A., Methods of Soil Analysis Part 1, American Society of Agronomy, Madison, Wisconsin, USA, 1965.
- Dhyani, A. S. K. et al., Estimating carbon sequestration potential of existing agroforestry systems in India. Agroforest. Syst., 2017, 91, 1101-1118.
- Mangalassery, S., Dayal, D., Meena, S. L. and Ram, B., Carbon sequestration in agroforestry and pasture systems in arid north western India. Curr. Sci., 2014, 107(8), 1290-1293.
- Saha, S. K., Nair, P. K. R., Nair, V. D. and Kumar, B. M., Soil carbon stock in relation to plant diversity of homegardens in Kerala, India. Agroforest. Syst., 2009, 76, 53-65.
- Beckert, M. R., Smith, P., Lilly, A. and Chapman, S. J., Soil and tree biomass carbon sequestration potential of silvopastoral and woodland-pasture systems in North East Scotland. Agroforest. Syst., 2016, 90, 371-383.
- Mansor, P. R., Vieira, H. D., Rangel, O. J. P., Partelli, F. L. and Gravina, G. A., Chemistry, nitrogen and carbon stocks in different land-use systems in a tropical environment. Afr. J. Agric. Res., 10(7), 660-667.
- Sharma, G., Sharma, R. and Sharma, E., Impact of stand age on soil C, N and P dynamics in a 40-year chronosequence of aldercardamom agroforestry stands of the Sikkim Himalaya. Pedobiologia, 2009, 52, 401-414.
- Shreenivas, B. V., Hebbara, M., Yeledhalli, N. A. and Ravi, M. V., Long-term effects of trees on soil properties in the saltaffected vertisol. J. Indian Soc. Soil Sci., 2010, 58, 413-417.
- Lenka, N. K., Dass, A., Susama, S. and Patnaik, U. S., Soil carbon sequestration and erosion control potential of hedgerows and grass filter strips in sloping agricultural lands of eastern India. Agric. Ecosyst. Environ., 2012, 158, 31-40.
- Paul, K. I., Polglase, P. J., Nyakuengama, J. G. and Khanna, P. K., Change in soil carbon following afforestation. For. Ecol. Manage., 2002, 168, 241-257.