Central Agroforestry Research Institute

Jhānsi, India

Central Agroforestry Research Institute

Jhānsi, India
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Chavan S.B.,Central Agroforestry Research Institute | Rao G.R.,Indian Central Research Institute for Dryland Agriculture | Keerthika A.,Indian Central Arid Zone Research Institute
Indian Journal of Ecology | Year: 2015

Studies on measuring CO2, CH4, and N2O fluxes from five agroforestry systems viz., teak, jatropha, pongamia, simaruba and leucaena were conducted at CRIDA, Hyderabad during June-August, 2013 in semi-arid alfisols. The fluxes were measured at weekly interval using closed static chamber technique and gas chromatography method. The highest mean soil CO2 emission observed in jatropha (5644.11 kg ha-1yr-1). teak (4422.90 kg ha-1yr-1) and simamba (4673.58 kg ha-1yr-1), whereas, lower values were recorded in pongamia (4575.28 kg ha-1yr-1) followed by leucaena (2556.94 kg ha-1yr-1). Observations regarding mean uptake in methane showed that in jatropha (8.57 kg ha-1yr-1) and Simaruba (7.37 kg ha-1yr-1) recorded higher values than pongamia (4.02 kg ha-1yr-1) and Teak (3.40 kg ha-1yr-1). The leucaena system (3.50 kg ha-1yr-1) was net emitter of methane as compared with other systems. Highest N2O fluxes during measurement period were observed in simaruba (140.62 kg ha-1yr-1), leucaena (123.96 kg ha-1yr-1) and pongamia (76.26 kg ha-1yr-1). In present study, temperature was most limiting factors than soil moisture among ail the agroforestry systems and produced better fit polynomial models with fluxes of gases. This study gives an idea of successive potential values of GHGs in agroforestry systems to compare with carbon sequestration abilities of these systems.


Chavan S.B.,Central Agroforestry Research Institute | Chauhan D.S.,Institute of Environment and Development Studies | Keerthika A.,Indian Central Arid Zone Research Institute | Uthappa A.R.,Central Agroforestry Research Institute | And 2 more authors.
Ecology, Environment and Conservation | Year: 2016

Domestic biomass energy demand and crisis is negative relationship with the countries forest area. However, the huge tract of wasteland and degraded forest must be planted with trees of suitable firewood properties to reduce the degradation of forest. To enable choice of species for such energy plantations in the Central India, a study was conducted to evaluate different fuelwood properties viz. moisture, density, ash, volatile matter, calorific value, heat value and fuel value index (FVI). Out of various laboratory tests, the FVI emerged as tool for screening desirable tree species for future energy plantation program to fulfill the increasing demand of fuelwood. Based on this study, Acacia catechu, Acacia Senegal, Anogeissus pendula and Prosopis juliflora possess superior fuelwood characteristics and they may be considered for inclusion in energy plantation programme in the region. Copyright © EM International.


Rizvi R.H.,Central Agroforestry Research Institute | Newaj R.,Central Agroforestry Research Institute | Karmakar P.S.,Central Agroforestry Research Institute | Saxena A.,Central Agroforestry Research Institute | Dhyani S.K.,Central Agroforestry Research Institute
Journal of the Indian Society of Remote Sensing | Year: 2016

Agroforestry is a land use where trees are deliberately grown with agricultural crops either within the field or on the bunds/ boundary. There are innumerable examples of this traditional land use practices in many parts of the world and has long tradition in India too. In the state of Punjab, farmers prefer to grow tree species like Eucalyptus and Populus on their fields with agricultural crops. Reason for adopting these species by the farmers is their fast growth and use of wood in paper and plywood industries. These agroforestry systems are not only remunerative to the farmers but also improve soil fertility of agricultural fields. Area under agroforestry in Bathinda and Patiala districts has been assessed by applying pixel and sub-pixel classifiers on medium resolution LISS III data. In case of pixel based classification, area under agroforestry was estimated to be 7.09 and 4.95 % in the two districts, respectively. Whereas, area under agroforestry come out to be 14.76 and 13.25 %, respectively in case of sub-pixel based classification. Improved results were obtained in case of sub-pixel classifier with more than 85 % accuracy. Hence, sub-pixel classifier may be used with medium resolutions data for accurate assessment of area under agroforestry. © 2016 Indian Society of Remote Sensing

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