Article Per Year (5 Year)
p-Index From 2021 - 2026
1.819
P-Index
This Author published in this journals
All Journal Journal International Inspire Education Technology (JIIET) International Journal of Educational Narratives Sharia Oikonomia Law Journal Darussalam: Journal of Psychology and Educational International Journal of Research in Counseling Journal of Selvicoltura Asean Techno Agriculturae Studium of Research Journal of Humanities Research Sustainability Journal of Multidisciplinary Sustainability Asean
Lima, Lucas
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
ASSISTED NATURAL REGENERATION AS A CLIMATE-RESILIENT STRATEGY FOR RESTORING DEGRADED PEATLAND FORESTS IN CENTRAL KALIMANTAN Hakim, Dani Lukman; Lima, Lucas; Mendes, Clara
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i5.2538

Abstract

Tropical peatland forests in Central Kalimantan, critical global carbon stores, are severely degraded and now act as major greenhouse gas sources due to drainage and fires. This study aimed to evaluate the ecological effectiveness and climate resilience of Assisted Natural Regeneration (ANR) for restoring the hydrological functions and biodiversity of these degraded ecosystems. A field experiment was established across 100 hectares, where the ANR method involved canal blocking to rewet the peat and selective planting of native pioneer species, monitored against control plots over five years. The results showed significant and rapid recovery. Canal blocking successfully raised the water table by an average of 40 cm, drastically reducing fire risk. Furthermore, native tree species richness in ANR plots was over 200% higher than controls, with canopy closure reaching 60%. ANR is highly effective, cost-efficient, and climate-resilient, providing a scalable model that prioritizes rewetting and facilitates natural successional pathways to restore critical ecosystem functions and secure long-term carbon storage.
A Mini-Review of Digital Technologies (IoT, AI) for Enhancing Sustainability Monitoring in Indonesian Agriculture and Forestry Fahrati, Eny; Rocha, Thiago; Lima, Lucas
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i6.2777

Abstract

Background. The integration of digital technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) into agriculture and forestry holds great potential for enhancing sustainability monitoring, especially in Indonesia, where these sectors are crucial to the economy and environment. Purpose. The challenges of climate change, deforestation, and inefficient resource use have led to the need for advanced technologies to better manage natural resources and monitor sustainability in these sectors. This mini-review aims to assess the role of IoT and AI in improving sustainability monitoring in Indonesian agriculture and forestry, exploring the benefits, challenges, and future prospects. Method. A comprehensive review of existing literature, case studies, and reports was conducted to gather data on the applications of IoT and AI in agriculture and forestry in Indonesia. The research examines the current technologies being implemented, their impact on resource efficiency, and the potential for scalability and integration into existing systems. Results. The findings indicate that IoT-based sensors and AI-driven analytics have significantly improved data collection and decision-making processes, enabling better management of water, soil, and forest resources. However, challenges such as infrastructure limitations, data privacy concerns, and the need for skilled labor remain. Conclusion. In conclusion, digital technologies such as IoT and AI offer promising solutions for enhancing sustainability monitoring in Indonesia’s agriculture and forestry sectors. While progress is being made, there is a need for further investment in infrastructure, capacity building, and policy development to maximize the impact of these technologies.
Co-Authors Arahman, Zulfikar Ariyanti, Rini Ashri Ramadhan Cahya Munandar, Nilam Chai, Nong Costa, Tiago Eny Fahrati Handayani, Wiwik  Khan, Omar Mendes, Clara Muhammad Khairul Rijal Muhammad Nasir Rocha, Thiago Silva, Pedro Singgih Prastawa Sucipto, Bambang Sucipto, Purwo Agus Tan, Ethan Zaki, Amin