Acacia Catechu Trees in Rice Fields: A Traditional Agroforestry System of Northern Bangladesh

Md. Alamgir Kabir, K.M. Masum Billah, Md. Masud Parvez

Abstract


Growing Acacia catechu trees on rice fields is one traditional crop-land Agroforestry system of Rajshahi region in Bangladesh. Farming system was explored with detailed information on farm operations and cropping calendar including system outputs. System dynamics was also evaluated. PRA exercises were conducted for a biophysical assessment. The information was collected on informant wise and cross-checked. Best growth of trees observed under rain-fed conditions. Higher density of trees found in un-irrigated fields. Trees were better managed in small plots. In general, density of khoir trees was found higher in small holdings (less than 2 ha) with secured land tenure. Trees on farms were of uneven age indicating the khoir + rice system biologically sustainable. The ease of establishment of Khoir seedlings, the low cost of its maintenance, and less vulnerability to any serious pest or disease, easy marketability of products rated high in the farmer’s preference for khoir. They appreciate the versatility of the wood for a variety of farm uses though its prime economic use to them is for production of lali for katha. They also get pitch khoir as by product of katha (red dyestuff for textiles and paper) production. The multiple products and services offered and the ease of managing the trees on crop fields without causing any immediate or long-term reduction in crop yield seemed to be the most important factors that encourage the farmers to continue this traditional practice. If farmers could be motivated to follow appropriately the silvicultural practices, production could further be increased.

Keywords


Acacia catechu; farming-systems analysis; indigenous systems; Participatory Rural Appraisal; Pitch Khoir

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DOI: http://dx.doi.org/10.20956/ijas.v4i2.685

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IJAS (ISSN Online: 2580-6815 | ISSN Print: 2337-9782) by http://pasca.unhas.ac.id/ojs/index.php/ijas is licensed under a Creative Commons Attribution-ShareyAlike 4.0 International License.

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