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Demand-Supply gap analysis of trees outside forests - a case study in Ballia District of Eastern Uttar Pradesh, India

Author Affiliations

  • 1Forest Research Centre for Eco-rehabilitation, Prayagraj, UP, India
  • 2Forest Research Centre for Eco-rehabilitation, Prayagraj, UP, India
  • 3Forest Research Centre for Eco-rehabilitation, Prayagraj, UP, India
  • 4Forest Research Centre for Eco-rehabilitation, Prayagraj, UP, India

Res. J. Agriculture & Forestry Sci., Volume 8, Issue (4), Pages 14-19, October,8 (2020)


The trees have a significant role in fulfilling daily needs of people. As per latest report of FSI, 2019, only 9.20% (6.15% forest and 3.05% Tree cover outside forests) area is covered with trees in the state of Uttar Pradesh,. Thus, sustainable availability of trees in the region of Eastern UP, especially in Gangetic plain region is a challenging task, as status of agroforestry is still in primitive stage there. The district Ballia is last district of the region bordering the state of Bihar. As per report only 0.74% forest is in the district including tree cover. Thus, with a view to find out deficit species in different developmental blocks of the district, a study has been conducted in the year 2019 to assess demand supply gap of important trees of timber value for recommending in afforestation programmes of the district. It is clear from results that for most of the studied species, highest demand supply gap was found in Pandah, Dubhad and Belhari developmental blocks. The lowest demand supply gap was found in Navanagar block. It is clear that highest overall annual demand supply gap for wood of all selected species exists in Pandah block (545180qt) followed by Belhari (458160qt) whereas lowest gap was found in Navanagar (49599qt) followed by Bairia ( 55150qt ). The demand supply gap for studied species in the district was highest for Mango (1166062qt) followed by Mahua (548406qt), Shisham (451866qt) and Teak (356037qt). Thus, massive plantations of desi variety of Mango, Shisham, Mahua and Teak are urgent need of time. The results indicated that suitable species may be selected in afforestation programmes of respective developmental blocks in the district for sustainable availability of species in future.


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