Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic Plains

Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic Plains

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 Indo-Gangetic Plains of northern India. These systems are not only meeting wood demand of wood-based industri...

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Bibliographic Details
Published in:Agroforestry systems Vol. 94; no. 6; pp. 2185 - 2197
Main Authors: Rizvi, R. H., Handa, A. K., Sridhar, K. B., Singh, R. K., Dhyani, S. K., Rizvi, Javed, Dongre, Gaurav
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01-12-2020
Springer Nature B.V
Subjects:
Agriculture
Agroforestry
Area
Biomass
Biomedical and Life Sciences
Carbon
Carbon dioxide
Climate change
Climate change mitigation
Forestry
Hardwoods
Image classification
Life Sciences
Mapping
Plantations
Poplar
Populus deltoides
Remote sensing
Spatial analysis
Spatial data
Spatial discrimination
Spatial resolution
Wood
India
Object-based image analysis (OBIA)
Indo-Gangetic Plains (IGP)
Carbon stock (CS)
Remote sensing (RS)
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Summary: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 Indo-Gangetic 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 CO 2 vis-à-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. CO 2 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 promising results as far as mapping of agroforestry systems/species is concerned.
ISSN:0167-4366
1572-9680
DOI:10.1007/s10457-020-00540-3