Mapping and Analysis of Peatland Subsidence Using GIS: A Case Study of Karya Tani Village, Indonesia

Authors

  • Salsabilla Civil Engineering Department, Universitas Riau, Indonesia Author
  • Sigit Sutikno Center for Peatland and Disaster Studies (CPDS), Universitas Riau, Kampus Bina Widya KM 12.5 Pekanbaru 28293, Indonesia Author
  • Muhammad Yusa Center for Peatland and Disaster Studies (CPDS), Universitas Riau, Kampus Bina Widya KM 12.5 Pekanbaru 28293, Indonesia Author
  • Randhi Saily Center for Peatland and Disaster Studies (CPDS), Universitas Riau, Kampus Bina Widya KM 12.5 Pekanbaru 28293, Indonesia Author

Keywords:

Mapping, Subsidence, Peatland, Geographic Information System

Abstract

This study was conducted in Karya Tani Village, Kempas District, Indragiri Hilir Regency, an area where signs of peatland subsidence have become increasingly evident. Surface subsidence of peat is notably observable through the exposure of root systems in perennial vegetation, particularly on community-managed lands. Subsidence represents a serious environmental threat, serving as a key indicator of peatland degradation. Though gradual, this process can result in extensive ecological damage and, in extreme cases, the irreversible loss of land. Accordingly, mapping and analyzing subsidence rates using Geographic Information Systems (GIS) is crucial for assessing the spatial extent and severity of this phenomenon. Field observations were conducted to document subsidence indicators, which were primarily identified through mature coconut trees exhibiting exposed root systems above the soil surface. Data collection was carried out over a 30-day period, from October 27 to November 27, 2022, in Karya Tani Village. Subsidence rate mapping was performed using ArcGIS software, employing the Topo to Raster interpolation method for spatial analysis. The results indicate that subsidence rates in the study area range from 2.75 to 6.50 cm/year, with an average rate of 4.45 cm/year.

References

[1] Melton J, Chan E, Millard K, Fortier M, Winton R, Martín-López J, et al. A Map of Global Peatland Extent Created Using Machine Learning (Peat-ML). Geosci Model Dev 2022.

[2] Edi H, Barus B, Dwi Putro Tejo Baskoro D, Program Studi Mitigasi Bencana dan Kerusakan Lahan A, Pascasarjana IPB S, Meranti Kampus J. Mapping of Peatland Subsidence in Peat Hydrology Unit Jangkang River-Liong River in Bengkalis Island. J Il Tan Lingk 2017;19:13–8.

[3] Oleszczuk R, Łachacz A, Kalisz B. Measurements versus Estimates of Soil Subsidence and Mineralization Rates at Peatland over 50 Years (1966–2016). Sustainability 2022.

[4] Hoyt A, Chaussard E, Seppalainen S, Harvey C. Widespread Subsidence and Carbon Emissions Across Southeast Asian Peatlands. Nat Geosci 2020;13:435–40.

[5] Miyaji N, Kohyama K, Otsuka H. Evaluation of Peatland in Northern Japan in Terms of Land Subsidence. Jarq-Japan Agric Res Q 1995;29:95–102.

[6] De La Barreda-Bautista B, Ledger M, Sjögersten S, Gee D, Sowter A, Cole B, et al. Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique. Remote Sens 2024;16:2249.

[7] Evans C, Irawan D, Suardiwerianto Y, Kurnianto S, Deshmukh C, Asyhari A, et al. Long-Term Trajectory and Temporal Dynamics of Tropical Peat Subsidence in Relation to Plantation Management and Climate. Geoderma 2022.

[8] Anshari G, Gusmayanti E, Novita N. The Use of Subsidence to Estimate Carbon Loss from Deforested and Drained Tropical Peatlands in Indonesia. Forests 2021;12:732.

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Published

2025-05-30

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Articles