Open AccessThe patterns of agroforestry: the implementation and its impact on local community income and carbon stock in Sesaot Forest, Lombok, Indonesia
Author(s) -
Markum,
Andi Chairil Ichsan,
Maiser Saputra,
Anggun Lestari,
G Anugrah
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/917/1/012043
Subject(s) - carbon stock , agroforestry , dominance (genetics) , stock (firearms) , geography , forestry , ecology , environmental science , climate change , biochemistry , chemistry , archaeology , biology , gene
This article aims to explore the implementation of agroforestry patterns in the Sesaot forest area and the impacts on the local community income and the carbon stocks. It is written based on descriptive research, data are collected through observation, interviews, and FGDs to 42 respondents, and measuring carbon stocks in 18 locations. The analysis in this study is divided into three: 1) clustering based on plant dominance to identify existing agroforestry patterns, 2) allometric equations to measure the amount of carbon stock, and 3) using scoring to analyze the identified agroforestry patterns to find out the most optimal. This study finds that there are four agroforestry patterns in this area: candlenut dominant, mahogany dominant, mixed agroforestry, and simple agroforestry. From these patterns, mixed agroforestry seems to be the best practice in this area since it has complied with the principles of sustainable forest management both from the perspective of economic and the environment.