Promoting smart agroforestry of sengon-based arrowroot and cardamom to support food security

Abstract

The forest land has great potential to provide food and also contributes to achieving Indonesia’s forest and other land uses (FOLU) Net Sink 2030, as a concrete contribution of the forestry sector to addressing national and global needs, which can be done by promoting smart agroforestry. This research aims to provide smart agroforestry model of sengon (Falcataria moluccana) with arrowroot and cardamom, to analyze the sengon growth, the arrowroot and cardamom biomass productivities under the agroforestry models. The split-plot design was employed with six cropping pattern as the main plot, in three agroforestry models (sengon-arrowroot; sengon-cardamom; sengon-arrowroot-cardamom) and three monoculture plots, and three levels of the dosage of manure as subplots (0; 250; 500 g). The results showed that higher growth of sengon was found in the three agroforestry models (3.0-3.5 m3.ha−1) compared to monoculture (2.1 m3.ha−1). The highest dry weight of leaf, stem, root, tuber, fruit bunch and total biomass of arrowroot and cardamom was produced in the monoculture. These agroforestry models have the potential to support food security and Indonesia’s FOLU Net Sink 2030, which will be prospective mainstreaming in implementing Social Forestry programs.