Dr BETSABE DE LA BARREDA BAUTISTA BETSABE.DELABARREDA@NOTTINGHAM.AC.UK
RESEARCH FELLOW FOR UK SPACE AGENCY PASSES PROJECT
Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique
de la Barreda-Bautista, Betsabé; Ledger, Martha J.; Sjögersten, Sofie; Gee, David; Sowter, Andrew; Cole, Beth; Page, Susan E.; Large, David J.; Evans, Chris D.; Tansey, Kevin J.; Evers, Stephanie; Boyd, Doreen S.
Authors
Martha J. Ledger
Professor SOFIE SJOGERSTEN Sofie.Sjogersten@nottingham.ac.uk
PROFESSOR OF ENVIRONMENTAL SCIENCE
David Gee
Andrew Sowter
Beth Cole
Susan E. Page
Professor David Large[Chemeng] David.Large@nottingham.ac.uk
ABBOTT PROFESSOR OF GEOSCIENCE
Chris D. Evans
Kevin J. Tansey
Stephanie Evers
Professor DOREEN BOYD doreen.boyd@nottingham.ac.uk
PROFESSOR OF EARTH OBSERVATION
Abstract
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.
Citation
de la Barreda-Bautista, B., Ledger, M. J., Sjögersten, S., Gee, D., Sowter, A., Cole, B., Page, S. E., Large, D. J., Evans, C. D., Tansey, K. J., Evers, S., & Boyd, D. S. (2024). Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique. Remote Sensing, 16(12), Article 2249. https://doi.org/10.3390/rs16122249
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 17, 2024 |
Online Publication Date | Jun 20, 2024 |
Publication Date | 2024-06 |
Deposit Date | Jul 5, 2024 |
Publicly Available Date | Jul 5, 2024 |
Journal | Remote Sensing |
Electronic ISSN | 2072-4292 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 16 |
Issue | 12 |
Article Number | 2249 |
DOI | https://doi.org/10.3390/rs16122249 |
Public URL | https://nottingham-repository.worktribe.com/output/36306834 |
Publisher URL | https://www.mdpi.com/2072-4292/16/12/2249 |
Files
remotesensing-16-02249
(1.4 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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