Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia

Manuri, S.; Brack, Cristopher; Nugroho, Nunung Puji; Hergoualc’h, Kristell; Novita, Nisa; Dotzauer, Helmut; Verchot, Louis; Putra, Chandra Agung Septiadi; Widyasari, Eka

doi:10.1016/j.foreco.2014.08.031

Cited by 64 publications

(63 citation statements)

References 41 publications

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“…Because of the research study sites are also in Cambodia, it is assumed that the selection of allometric models which used the data sets from Cambodia was reasonable. Third, allometric models have been widely used and reported as authentic model for measuring tree biomass (Vieilledent et al, 2012;Fayolle, Doucet, Gillet, Bourland, & Lejeune, 2013;Manuri et al, 2014;Lambrick, Brown, Lawrence, & Bebber, 2014). AGB estimation using pan-tropical equations occasionally increased the bias when compared with the estimation of biomass using region-specific models (Basuki, van Laake, Skidmore, & Hussin, 2009).…”

Section: Allometric Equationsmentioning

confidence: 99%

“…AGB estimation using pan-tropical equations occasionally increased the bias when compared with the estimation of biomass using region-specific models (Basuki, van Laake, Skidmore, & Hussin, 2009). However, the pan-tropical allometric models developed by Chave et al (2005) perform equally well as region-specific equations (Vieilledent et al, 2012;Fayolle, Doucet, Gillet, Bourland, & Lejeune, 2013;Manuri et al, 2014). Therefore, the allometric models were decided as dependable models.…”

Section: Allometric Equationsmentioning

confidence: 99%

“…Therefore, a number of allometric models had been developed using only these three parameters (Chave et al, 2005;Vieilledent et al, 2012;Lima et al, 2012;Manuri et al, 2014). Because some forest inventories failed to measure tree height and/or wood specific density, allometric models had also been developed without these parameters (Chave et al, 2005;Vieilledent et al, 2012;Lima et al, 2012;Manuri et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…In many cases, researchers had assessed the errors of these allometric models during the process of model development (e.g. Chave et al, 2005;Manuri et al, 2014). Therefore, many studies had assessed the errors caused by these individual types of allometric models.…”

Section: Introductionmentioning

confidence: 99%

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The Importance of Tree Height in Estimating Individual Tree Biomass while Considering Errors in Measurements and Allometric Models

et al. 2018

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This study evaluated the uncertainty of individual tree biomass estimated by allometric models by both including and excluding tree height independently. Using two independent sets of measurements on the same trees, the errors in the measurement of diameter at breast height and tree height were quantified, and the uncertainty of individual tree biomass estimation caused by errors in measurement was calculated. For both allometric models, the uncertainties of the individual tree biomass estimation caused by the use of a specific allometric model were also calculated. Finally, the overall uncertainty of individual tree biomass by combining the two uncertainties was calculated. The allometric model including tree height was 6 % more accurate than that excluding tree height when the uncertainty caused by allometric models became the only consideration. However, in terms of the uncertainty caused by measurement, the allometric model excluding tree height was three times more accurate than allometric model including tree height. As a result, the allometric model excluding tree height was 5 % more accurate than the allometric model including tree height when both causes of uncertainty, the allometric model and measurement errors were considered. In conclusion, errors in tree height measurement have the potential to increase the error of aboveground biomass estimation.

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Section: Allometric Equationsmentioning

confidence: 99%

Section: Allometric Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Importance of Tree Height in Estimating Individual Tree Biomass while Considering Errors in Measurements and Allometric Models

et al. 2018

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“…Our validation efforts show that peat swamp forests have error departures of less than 20 %, while the allometric models from lowland dipterocarp forest have larger errors. This may be related to the extremely high variability of biomass in large trees (Manuri et al 2014). It is therefore important to select equations developed from a large sample size that covers a wide range of DBH.…”

Section: Distribution Of the Equations With Respect To Different Forementioning

confidence: 99%

A review of forest and tree plantation biomass equations in Indonesia

Anitha

Verchot

Joseph

et al. 2015

Annals of Forest Science

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& Key message We compiled 2,458 biomass equations from 168 destructive sampling studies in Indonesia. Unpublished academic theses contributed the largest share of the biomass equations. The availability of the biomass equations was skewed to certain regions, forest types, and species. Further research is necessary to fill the data gaps in emission factors and to enhance the implementation of climate change mitigation projects and programs. & Context Locally derived allometric equations contribute to reducing the uncertainty in the estimation of biomass, which may be useful in the implementation of climate change mitigation projects and programs in the forestry sector. Many regional and global efforts are underway to compile allometric equations.& Aims The present study compiles the available allometric equations in Indonesia and evaluates their adequacy in estimating biomass in the different types of forest across the archipelago. & Methods A systematic survey of the scientific literature was conducted to compile the biomass equations, including ISI publications, national journals, conference proceedings, scientific reports, and academic theses. The data collected were overlaid on a land use/land cover map to assess the spatial distribution with respect to different regions and land cover types. The validation of the equations for selected forest types was carried out using independent destructive sampling data. & Results A total of 2,458 biomass equations from 168 destructive sampling studies were compiled. Unpublished academic theses contributed the majority of the biomass equations. Twenty-one habitat types and 65 species were studied in detail. Diameter was the most widely used single predictor in all allometric equations. The cumulative number of individual trees cut was 5,207. The islands of Java, Kalimantan, and Sumatra were the most studied, while other regions were underexplored or unexplored. More than half of the biomass equations were for just seven species. The majority of the studies were carried out in plantation forests and secondary forests, while primary forests remain largely understudied. Validation using independent data showed that the allometric models for peat swamp forest had lower error departure, while the models for lowland dipterocarp forest had higher error departure. & Conclusion Although biomass studies are a major research activity in Indonesia due to its high forest cover, the majority of such activities are limited to certain regions, forest types, and species. More research is required to cover underrepresented regions, forest types, particular growth forms, and very large tree diameter classes.

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Carbon Stocks from Peat Swamp Forest and Oil Palm Plantation in Central Kalimantan, Indonesia

et al. 2020

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Conserving high carbon density tropical peat forests is one of the most cost-efficient strategies for climate change mitigation at national and global levels. Over past decades, large areas of tropical peat forests have been converted to oil palm plantation in Indonesia resulting in significant carbon emissions into the atmosphere. Here, we quantified the ecosystem carbon stocks in a total of six sites: two primary peat swamp forest sites, one secondary peat swamp forest site, and three young oil palm plantation sites in Tanjung Puting, Central Kalimantan, Indonesia. We further determined potential carbon emissions from vegetation change due to peat swamp forest conversion to oil palm plantation. The mean total ecosystem carbon stock of primary and secondary peat swamp forests were 1770 ± 123 Mg C/ha and 533 ± 49 Mg C/ha, respectively. In contrast, the mean carbon stock of oil palm plantations was 759 ± 87 Mg C/ha or 42% of peat swamp forests. The ratio of the aboveground to belowground C stock was highest in secondary forest with an estimated value of 0.48, followed by primary forest at 0.19 and oil palm plantation at 0.04. Using a stock difference approach, we estimated potential carbon emissions from vegetation change resulting from the conversion of primary peat swamp forest to oil palm plantation of 640 ± 114 Mg CO2/ha. Finally, while restoring peatlands is important, avoiding peat conversion is imperative for Indonesia’s climate change mitigation effort.

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Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia

Cited by 64 publications

References 41 publications

The Importance of Tree Height in Estimating Individual Tree Biomass while Considering Errors in Measurements and Allometric Models

The Importance of Tree Height in Estimating Individual Tree Biomass while Considering Errors in Measurements and Allometric Models

A review of forest and tree plantation biomass equations in Indonesia

Carbon Stocks from Peat Swamp Forest and Oil Palm Plantation in Central Kalimantan, Indonesia

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