10
IRUS Total
Downloads
  Altmetric

Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning

File Description SizeFormat 
bg-15-3811-2018.pdfPublished version3.54 MBAdobe PDFView/Open
Title: Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning
Authors: Jucker, T
Asner, GP
Dalponte, M
Brodrick, PG
Philipson, CD
Vaughn, NR
Teh, YA
Brelsford, C
Burslem, DFRP
Deere, NJ
Ewers, RM
Kvasnica, J
Lewis, SL
Malhi, Y
Milne, S
Nilus, R
Pfeifer, M
Phillips, OL
Qie, L
Renneboog, N
Reynolds, G
Riutta, T
Struebig, MJ
Svatek, M
Turner, EC
Coomes, DA
Item Type: Journal Article
Abstract: Borneo contains some of the world's most biodiverse and carbon-dense tropical forest, but this 750 000 km2 island has lost 62 % of its old-growth forests within the last 40 years. Efforts to protect and restore the remaining forests of Borneo hinge on recognizing the ecosystem services they provide, including their ability to store and sequester carbon. Airborne laser scanning (ALS) is a remote sensing technology that allows forest structural properties to be captured in great detail across vast geographic areas. In recent years ALS has been integrated into statewide assessments of forest carbon in Neotropical and African regions, but not yet in Asia. For this to happen new regional models need to be developed for estimating carbon stocks from ALS in tropical Asia, as the forests of this region are structurally and compositionally distinct from those found elsewhere in the tropics. By combining ALS imagery with data from 173 permanent forest plots spanning the lowland rainforests of Sabah on the island of Borneo, we develop a simple yet general model for estimating forest carbon stocks using ALS-derived canopy height and canopy cover as input metrics. An advanced feature of this new model is the propagation of uncertainty in both ALS- and ground-based data, allowing uncertainty in hectare-scale estimates of carbon stocks to be quantified robustly. We show that the model effectively captures variation in aboveground carbon stocks across extreme disturbance gradients spanning tall dipterocarp forests and heavily logged regions and clearly outperforms existing ALS-based models calibrated for the tropics, as well as currently available satellite-derived products. Our model provides a simple, generalized and effective approach for mapping forest carbon stocks in Borneo and underpins ongoing efforts to safeguard and facilitate the restoration of its unique tropical forests.
Issue Date: 22-Jun-2018
Date of Acceptance: 8-Jun-2018
URI: http://hdl.handle.net/10044/1/60811
DOI: https://dx.doi.org/10.5194/bg-15-3811-2018
ISSN: 1726-4170
Publisher: COPERNICUS GESELLSCHAFT MBH
Start Page: 3811
End Page: 3830
Journal / Book Title: BIOGEOSCIENCES
Volume: 15
Issue: 12
Copyright Statement: © 2018 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Rainforest Research Sdn Bhd
Funder's Grant Number: LBEE_P34395
Keywords: Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Ecology
Geosciences, Multidisciplinary
Environmental Sciences & Ecology
Geology
LIDAR-ASSISTED ESTIMATION
SMALL-FOOTPRINT LIDAR
RAIN-FOREST
NEOTROPICAL FOREST
ALLOMETRIC MODELS
PLOT SIZE
BIOMASS
EMISSIONS
STOCKS
TREES
04 Earth Sciences
05 Environmental Sciences
06 Biological Sciences
Meteorology & Atmospheric Sciences
Publication Status: Published
Online Publication Date: 2018-06-22
Appears in Collections:Faculty of Natural Sciences