Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana stat
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Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic Plains R. H. Rizvi . A. K. Handa . K. B. Sridhar . R. K. Singh . S. K. Dhyani . Javed Rizvi . Gaurav Dongre
Received: 19 February 2020 / Accepted: 4 September 2020 Ó Springer Nature B.V. 2020
Abstract Various agroforestry systems are prevalent in different agro-climatic regions of India and occupy sizeable area. Populus deltoides (poplar) based agroforestry systems are very predominant in IndoGangetic Plains of northern India. These systems are not only meeting wood demand of wood-based industries but also contributing significantly in generating employment, reducing atmospheric CO2 vis-a`vis mitigating climate change. The present study aimed at estimating area under poplar plantations and assessment of biomass production and carbon stock at district level for selected districts of Punjab and Haryana states. High resolution multispectral remote sensing data (LISS-IV, spatial resolution- 5.8 m) have been used for mapping poplar area in these districts. Growth data (tree density, diameter at breast height)
from farmers’ fields were collected for assessment of aboveground and total biomass. Poplar area in Hoshiarpur, Rupnagar, Ludhiana, Shahid Bhagat Singh Nagar, Yamunanagar, Kurukshetra and Karnal districts accounted for 3.19, 4.09, 1.02, 0.43, 7.25, 1.58 and 0.97%, respectively, of their geographical area. As percentage of agroforestry area, poplar area occupied 43.8% in four districts of Punjab and 53.4% in three districts of Haryana. Estimated carbon stock in total biomass of poplar plantations was 0.931, 0.481, 0.287, 0.040, 0.949, 0.256 and 0.229 million tonnes, respectively. CO2 equivalent C in aboveground and total biomass was estimated to be 7.854 and 9.946 million t, respectively, in all these seven districts. The proposed methodology based on object-oriented image classification showed promis-
R. H. Rizvi (&) A. K. Handa ICAR-Central Agroforestry Research Institute, Jhansi, India e-mail: [email protected]
S. K. Dhyani e-mail: [email protected]
A. K. Handa e-mail: [email protected] K. B. Sridhar ICAR-Central Research Institute on Dryland Agriculture, Hyderabad, India e-mail: [email protected]
J. Rizvi e-mail: [email protected] G. Dongre ICAR-Indian Institute of Farming Systems Research, Modipuram, India e-mail: [email protected]
R. K. Singh S. K. Dhyani J. Rizvi ICRAF South Asia Regional Program, World Agroforestry Centre, New Delhi, India e-mail: [email protected]
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Agroforest Syst
ing results as far as mapping of agroforestry systems/ species is concerned. Keywords Carbon stock (CS) Indo-Gangetic Plains (IGP) Object-based image analysis (OBIA) Populus deltoides Remote sensing (RS)
Introduction Agroforestry in India received well deserved attention from different stake holders particularly policy planners and implementing agencies with the adoption of National Agroforestry P
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