Novel Rap-Landslide Method for Assessing Agroforestry Sustainability in Landslide-Prone Areas

Abstract

Landslides are becoming increasingly frequent, intensified by extreme rainfall and human activities, and threaten ecosystems and livelihoods. In Nyomplong, West Java, they have displaced residents and damaged land, which is now repurposed for agroforestry. Sustainable agroforestry management is crucial for reducing landslide risks and enhancing farmer livelihoods, and a comprehensive assessment is required. This study presents Rapid Appraisal for Landslide (Rap-Landslide), a novel method for assessing agroforestry sustainability. Multidimensional Scaling evaluates economic, environmental, social, technological, and institutional dimensions, focusing on key factors in landslide mitigation, land conservation, and productivity enhancement. The approach includes data collection, sustainability evaluation, leverage factor analysis, and validity testing. This study indicates that the sustainability index of agroforestry in Nyomplong ranges from 40.66% to 62.82%, with an average of 56.16%, classifying it as moderately sustainable. Monte Carlo analysis confirms that this study maintains a stable sustainability status with high confidence. Furthermore, Rap-Landslide leverage analysis identifies 15 key attributes significantly influencing sustainability. Key strategies for improvement include more substantial government support in agroforestry policies, farmer group empowerment, the adoption of conservation technologies such as terracing and soil biotechnology, the use of organic fertilizers, appropriate crop selection, and improved market access. Rap-Landslide can be applied to other landslide-prone areas, offering a systematic approach to evaluating sustainability and guiding effective land management strategies.