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Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique

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posted on 2024-08-01, 13:33 authored by Betsabé de la Barreda-Bautista, Martha J Ledger, Sofie Sjögersten, David Gee, Andrew Sowter, Beth Cole, Susan E Page, David J Large, Chris D Evans, Kevin TanseyKevin Tansey, Stephanie Evers, Doreen S Boyd
Tropical peatlands in Southeast Asia have experienced widespread subsidence due to forest clearance and drainage for agriculture, oil palm and pulp wood production, causing concerns about their function as a long-term carbon store. Peatland drainage leads to subsidence (lowering of peatland surface), an indicator of degraded peatlands, while stability/uplift indicates peatland accumulation and ecosystem health. We used the Advanced Pixel System using the Intermittent SBAS (ASPIS-DInSAR) technique with biophysical and geographical data to investigate the impact of peatland drainage and agriculture on spatial patterns of subsidence in Selangor, Malaysia. Results showed pronounced subsidence in areas subjected to drainage for agricultural and oil palm plantations, while stable areas were associated with intact forests. The most powerful predictors of subsidence rates were the distance from the drainage canal or peat boundary; however, other drivers such as soil properties and water table levels were also important. The maximum subsidence rate detected was lower than that documented by ground-based methods. Therefore, whilst the APSIS-DInSAR technique may underestimate absolute subsidence rates, it gives valuable information on the direction of motion and spatial variability of subsidence. The study confirms widespread and severe peatland degradation in Selangor, highlighting the value of DInSAR for identifying priority zones for restoration and emphasising the need for conservation and restoration efforts to preserve Selangor peatlands and prevent further environmental impacts.

Funding

STARS CDT - Soils Training And Research Studentships Centre for Doctoral Training

Natural Environment Research Council

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History

Author affiliation

College of Science & Engineering Geography, Geology & Environment

Version

  • VoR (Version of Record)

Published in

Remote Sensing

Volume

16

Issue

12

Pagination

2249

Publisher

MDPI AG

eissn

2072-4292

Copyright date

2024

Available date

2024-08-01

Language

en

Deposited by

Professor Kevin Tansey

Deposit date

2024-07-30

Data Access Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

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