Evaluation of potential total carbon stock under various agroforestry types in Senaru Forest Area-North Lombok, Indonesia

Abstract

The different agroforestry management can perform different potentials for carbon sequestration. The study aimed to estimate the potential of carbon stocks in various types of agroforestry in the last 20 years in Senaru area, the sub district of Bayan, Northern Lombok. The study was conducted from June to August 2022. Different types of agroforestry managed on entisols include mahogany based agroforestry (Swietenia mahagoni), Cacao-based agroforestry (Theobroma cacao), Coffee-based agroforestry (Robusta Coffee), Sengon based- agroforestry (Albizia chinensis), and Porang-based agroforestry (Amorphophallus muelleri). Samples for measuring above ground biomass at each agroforestry were carried out on plot area of 20 m x 20 m. Samples for soil organic carbon (SOC) was carried out by collecting 4 composite soil samples at each type of agroforestry at soil depth of 0-5 cm and 5-10 cm. In addition to the soil organic-C, measurements were also made on soil bulk density, total porosity, and soil texture. The results of the study showed that the total carbon stocks varied under different types of agroforestry. Mahogany based agroforestry produced the highest total carbon stocks, 440.64 ton.ha−1, and subsequently, it was followed by sengon-based agroforestry, coffee, cocoa and porang with values of 371.54 ton ha−1, 305.33 ton ha−1, 166.15 ton ha−1 and 153.93 ton ha−1 respectively. Thus, to support sustainable agroforestry management in this area, it is important to consider the timber tree stands that potentially produce high biomass as well as the need to improve the diversity of high biomass vegetation in areas with low vegetation density.

Effect of biophysical conditions on standing and soil carbon storage in various land uses in Gunung Mas, Central Kalimantan, Indonesia

“…Likewise, AG-SSB experiences comparable effects with biophysical conditions influencing AGC, SOC, and total carbon storage at 53.80%, 50.50%, and 51.10%, respectively. These findings align harmoniously with previous research, which stated that the potential for carbon storage is influenced by several factors, such as topography consisting of height and slope, stand density, stand age, soil fertility, compositional and structural attributes of vegetation (Oliver and Morecroft 2014;van der Sande et al 2018;Bayat et al 2021;Shiferaw et al 2022;Sukartono et al 2023). A variable's significant effect on carbon storage is established when the p-value is less than 0.05 (Nangin et al 2020).…”

“…Based on the Kruskal Wallis test, the AGB values between each land use were significantly different (P=0.00). Variations in AGB values occur due to differences in the vegetation composition quantity, diameter, and stand density (Sukartono et al 2023). POP constitutes monoculture land exclusively composed of palm oil vegetation (Elaeis guineensis Jacq.…”

“…This variation in potential arises due to the spatial distribution of these land uses, leading to differences in biophysical conditions. Furthermore, carbon storage potential is influenced by various factors, such as topography encompassing elevation and slope, stand density, stand age, composition, and vegetation structure (Oliver and Morecroft 2014;Bayat et al 2021;Shiferaw et al 2022;Sukartono et al 2023). Another contributing factor to carbon storage potential is soil fertility.…”