NDLI: A review of forest and tree plantation biomass equations in Indonesia

Content Provider	Springer Nature Link
Author	Anitha, Kamalakumari Verchot, Louis V. Joseph, Shijo Herold, Martin Manuri, Solichin Avitabile, Valerio
Copyright Year	2015
Abstract	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 Unpublished academic theses contributed the largest share of the biomass equations.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. 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.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.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.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 Unpublished academic theses contributed the majority of the biomass equations.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.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.
Starting Page	981
Ending Page	997
Page Count	17
File Format	PDF
ISSN	12864560
Journal	Annals of Forest Science
Volume Number	72
Issue Number	8
e-ISSN	1297966X
Language	English
Publisher	Springer Paris
Publisher Date	2015-10-12
Publisher Institution	Institut National de la Recherche Agronomique (INRA)
Publisher Place	Paris
Access Restriction	Subscribed
Subject Keyword	Allometric equations Aboveground biomass Forest inventory REDD+ Indonesia Forestry Wood Science & Technology Forestry Management Tree Biology Environment
Content Type	Text
Resource Type	Article
Subject	Ecology Forestry

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A review of forest and tree plantation biomass equations in Indonesia

Overcoming obstacles to sharing data on tree allometric equations

Intra-specific differences in allometric equations for aboveground biomass of eastern Mediterranean Pinus brutia

Database of 478 allometric equations to estimate biomass for Mexican trees and forests

Reducing the error in biomass estimates strongly depends on model selection

Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments

Aboveground biomass equations for sustainable production of fuelwood in a native dry tropical afro-montane forest of Ethiopia

Overcoming obstacles to sharing data on tree allometric equations

Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China

A review of forest and tree plantation biomass equations in Indonesia

Similar Documents

A review of forest and tree plantation biomass equations in Indonesia

Overcoming obstacles to sharing data on tree allometric equations

Intra-specific differences in allometric equations for aboveground biomass of eastern Mediterranean Pinus brutia

Database of 478 allometric equations to estimate biomass for Mexican trees and forests

Reducing the error in biomass estimates strongly depends on model selection

Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments

Aboveground biomass equations for sustainable production of fuelwood in a native dry tropical afro-montane forest of Ethiopia

Overcoming obstacles to sharing data on tree allometric equations

Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China

A review of forest and tree plantation biomass equations in Indonesia