Land Management of Tidal Swamp Type B with Surjan System as Climate Change Anticipation

Authors

  • Ani Susilawati a:1:{s:5:"en_US";s:68:"Indonesian Swampland Instrument Standard Testing Institute (ISWASTI)";}
  • Lutfi Izhar Indonesian Swampland Instrument Standard Testing Institute (ISWASTI), Banjarbaru, South Kalimantan 70712
  • Achmad Adi Surya Sustama

DOI:

https://doi.org/10.29244/j.agromet.39.1.8-20

Keywords:

adaptive cropping, food security, resilience, sustainable agriculture, water management

Abstract

Agriculture is one of the most vulnerable sectors to climate change, which can significantly impact national food security. In addition to climate change, agricultural development faces challenges, including the conversion of agricultural land for non-agricultural purposes. As a result, agricultural extensification has expanded into marginal lands, such as tidal swamplands. This paper presents a literature review on the characteristics of tidal swamplands, the principles of the surjan system, and its relevance in addressing climate change, particularly in the context of food security and ecosystem sustainability. Various literature sources were analyzed to assess the advantages, challenges, and sustainable management strategies of tidal swamplands. The review highlights the importance of effective land management to create suitable soil conditions for optimal plant growth and increased productivity. The surjan system, a land management approach practiced by tidal swampland farmers, demonstrates high adaptability in mitigating the impacts of climate change. This system integrates cultural, ecological, and economic perspectives by combining local knowledge with technological advancements. Key components of the surjan system include a one-way water management system with flap-gates and stoplogs, as well as the use of climate-adaptive crop varieties on tidal swamplands.

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Published

2025-05-05

Issue

Section

Articles

How to Cite

Land Management of Tidal Swamp Type B with Surjan System as Climate Change Anticipation . (2025). Agromet, 39(1), 8-20. https://doi.org/10.29244/j.agromet.39.1.8-20