Cited by 69Peatlands and Wetlands EcologyWetland Management and ConservationCoastal wetland ecosystem dynamics

Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions

Open access
Dadap, Nathan C., Hoyt, Alison M., Cobb, Alexander R., Oner, Doruk, Kozinski, Mateusz, Fua, Pascal V., Rao, Krishna, Harvey, Charles F. +1 more·2021·AGU Advances

Published version of a preprint

Abstract

Drainage canals associated with logging and agriculture dry out organic soils in tropical peatlands, thereby threatening the viability of long‐term carbon stores due to increased emissions from decomposition, fire, and fluvial transport. In Southeast Asian peatlands, which have experienced decades of land use change, the exact extent and spatial distribution of drainage canals are unknown. This has prevented regional‐scale investigation of the relationships between drainage, land use, and carbon emissions. Here, we create the first regional map of drainage canals using high resolution satellite imagery and a convolutional neural network. We find that drainage is widespread—occurring in at least 65% of peatlands and across all land use types. Although previous estimates of peatland carbon emissions have relied on land use as a proxy for drainage, our maps show substantial variation in drainage density within land use types. Subsidence rates are 3.2 times larger in intensively drained areas than in non‐drained areas, highlighting the central role of drainage in mediating peat subsidence. Accounting for drainage canals was found to improve a subsidence prediction model by 30%, suggesting that canals contain information about subsidence not captured by land use alone. Thus, our data set can be used to improve subsidence and associated carbon emissions predictions in peatlands, and to target areas for hydrologic restoration.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1029/2020av000321

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dadap, N. C., Hoyt, A. M., Cobb, A. R., Oner, D., Kozinski, M., Fua, P. V., Rao, K., Harvey, C. F., & Konings, A. G.
Affiliations
  • Stanford University (US)
  • Lawrence Berkeley National Laboratory (US)
  • Center for Environmental Sensing and Modeling Singapore‐MIT Alliance for Research and Technology Singapore Singapore
  • École Polytechnique Fédérale de Lausanne Lausanne Switzerland
  • École Polytechnique Fédérale de Lausanne (CH)
  • Massachusetts Institute of Technology (US)
Corresponding author
Dadap, Nathan C.
Venue
AGU Advances
Published
2021-03
Volume
2
Issue
1
ISSN
2576-604X (ISSN-L)
OpenAlex
W3139266941
Cited by
69
References
2
Citations by year
2026: 24 · 2025: 15 · 2024: 10 · 2023: 5 · 2022: 10 · 2021: 5
FWCI
3.98
Type
journal article
Language
en
Open access
Locations
  • AGU Advances (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Funders
  • National Aeronautics and Space Administration (80NSSC18K1341)
  • National Science Foundation (EAR‐1923478)
  • National Research Foundation Singapore (NRF2016‐ITCOO1‐021)
Topics
  • Physical Sciences › Environmental Science › Ecology › Peatlands and Wetlands Ecology
  • Physical Sciences › Engineering › Ocean Engineering › Wetland Management and Conservation
  • Physical Sciences › Environmental Science › Ecology › Coastal wetland ecosystem dynamics
Keywords
drainage channels, peatlands, CO2 emissions, peat subsidence, land use change, logging, organic soils, drainage mapping, convolutional neural networks, subsidence prediction, hydrological restoration, Southeast Asia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review