Harnessing Spatial and Multi‐Criteria Decision Analysis ( MCDA ) to Optimize Land Suitability for Kenaf Cultivation in Kelantan: Pathways for Sustainable Economic Development

IF 4 2区农林科学 Q2 ENVIRONMENTAL SCIENCES

Land Degradation & Development Pub Date : 2026-08-18 DOI:10.1002/ldr.70843

Nur Afiqah Ariffin, Zainol Jamil, Yaniza Shaira Zakaria, Nur Ain Che Mat Ali, Azizul Ahmad

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引用次数: 0

Abstract

In Kelantan, entrenched land degradation and extensive idling of agricultural lands exacerbate rural poverty. Current top‐down planning often overlooks local geographic and social constraints, despite state initiatives to convert idle lands and strengthen rural livelihoods. To address this, an integrated GIS–MCDA framework (using AHP) was developed to identify ecologically and socioeconomically optimal land for kenaf cultivation. Eight weighted criteria (land use, soil fertility and series, slope, elevation, geology, and proximity to rivers and roads) were combined via AHP in GIS, a well‐established land‐suitability method. The resulting suitability map was validated against the 2024 Agricultural Census and overlaid with e‐Kasih poverty data. The analysis identifies highly suitable kenaf zones in Kelantan's inland districts (overlapping areas of acute poverty), a distribution notably misaligned with official coastal development zones. Overlaying suitability with vulnerability data highlights gaps in current zoning and reveals opportunities for targeted agricultural diversification. By integrating land potential with socioeconomic vulnerability, the framework informs evidence‐based land rehabilitation and rural development strategies. Ultimately, this GIS–MCDA approach supports sustainable, inclusive land use planning and offers evidence‐based guidance for Malaysia to rehabilitate degraded lands and boost rural incomes. These outcomes contribute directly to SDG 1 (no poverty) and SDG 15 (life on land), and provide a replicable model for sustainable agricultural planning under global development agendas.

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利用空间和多准则决策分析（MCDA）优化吉兰丹红麻种植的土地适宜性：经济可持续发展的途径

在吉兰丹，根深蒂固的土地退化和农业用地大面积闲置加剧了农村贫困。目前自上而下的规划往往忽视了当地的地理和社会限制，尽管国家采取了改造闲置土地和改善农村生计的举措。为了解决这个问题，开发了一个综合GIS-MCDA框架（使用AHP）来确定生态和社会经济上最适合红麻种植的土地。八项加权标准（土地利用、土壤肥力和土壤系列、坡度、海拔、地质、靠近河流和道路）通过GIS中的AHP组合在一起，这是一种成熟的土地适宜性方法。根据2024年农业普查验证了结果的适用性图，并覆盖了e - Kasih贫困数据。分析确定了吉兰丹内陆地区（重叠的严重贫困地区）非常适合的红麻区，这种分布与官方的沿海开发区明显不一致。将适宜性与脆弱性数据叠加，突出了当前区划的差距，并揭示了有针对性的农业多样化的机会。通过将土地潜力与社会经济脆弱性相结合，该框架为基于证据的土地恢复和农村发展战略提供信息。最终，这种GIS-MCDA方法支持可持续的、包容性的土地利用规划，并为马来西亚恢复退化土地和提高农村收入提供基于证据的指导。这些成果直接有助于实现可持续发展目标1（消除贫困）和可持续发展目标15（陆地上的生命），并为全球发展议程下的可持续农业规划提供了可复制的模式。

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来源期刊

Land Degradation & Development 农林科学-环境科学

CiteScore

7.70

自引率

8.50%

发文量

379

审稿时长

5.5 months

期刊介绍： Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.