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Description

This data set provides global forest area, forest growing stock, and forest biomass data at 1-degree resolution for the period 1950-2010. The data set is based on a compilation of forest area and growing stock data reported in international assessments performed by FAO, MCPFE (now Forest Europe), and UNECE. Data of different assessments are to the extent possible harmonized to reflect both forest area and other wooded land, to be comparable between countries and assessments.

Product Summary

Platforms
MAPS
Projects
Vegetation
Spatial Extent

N: 70 S: -70 E: 180 W: -180

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1950-01-01 to 2010-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2763367695-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
1
Processing Level
3
Published
Updated
Science Keywords
Forest Yields ,
Biomass ,
Carbon ,
Forests

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Hengeveld, G. M., Gunia, K., Didion, M., Zudin, S., Clerkx, A. P. P. M., & Schelhaas, M. J. (2015). Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1296 Date Accessed: 2026-10-03

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Land carbon sink distribution in Northern Eurasia is driven by climate change
  • Melnikova, I., Yokohata, T., Schepaschenko, D., Sitch, S., Maksyutov, S.
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  • Gorain, Subrata, Dutta, Suman, Balo, Sumana, Malakar, Ayushman, Roy Choudhury, Malini, Das, Sumanta
Dynamics of China's forest carbon storage: the first 30 m annual
  • Cai, Yaotong, Zhu, Peng, Li, Xing, Liu, Xiaoping, Chen, Yuhe, Shen, Qianhui, Xu, Xiaocong, Zhang, Honghui, Nie, Sheng, Wang, Cheng, Wang, Jia, Li, Bingjie, Wu, Changjiang, Zhuang, Haoming
Quantifying Forest Cover Loss during the COVID-19 Pandemic in the Lubumbashi Charcoal Production Basin (DR Congo) through Remote Sensing and Landscape Analysis
  • Useni Sikuzani, Yannick, Mpanda Mukenza, Medard, Mwenya, Ildephonse Kipili, Muteya, Heritier Khoji, Nghonda, Dieu-donne Ntambwe, Mukendi, Nathan Kasanda, Malaisse, Francois, Kaj, Francoise Malonga, Mwembu, Donatien Dibwe Dia, Bogaert, Jan
Climate changes have alleviated constraints on forest carbon storage
  • Wu, Fang, Jia, Junwen, Li, Cheng, Cao, Yun, Zhao, Junfang, Yan, Xiaodong, Cui, Xuefeng
Emergent constraints on future Amazon climate change-induced carbon loss using past global warming trends
  • Melnikova, Irina, Yokohata, Tokuta, Ito, Akihiko, Nishina, Kazuya, Tachiiri, Kaoru, Shiogama, Hideo
Arctic Basin Pollution
  • Varotsos, Costas A., Krapivin, Vladimir F., Mkrtchyan, Ferdenant A., Xue, Yong
Global Water Balance and Pollution of Water Reservoirs
  • Varotsos, Costas A., Krapivin, Vladimir F., Mkrtchyan, Ferdenant A., Xue, Yong
Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
  • Varotsos, Costas A., Krapivin, Vladimir F., Mkrtchyan, Ferdenant A., Xue, Yong
Demonstrating environmental impacts on the sound structure of languages: Challenges and solutions
  • Maddieson, Ian, Benedict, Karl
Optical Tools for Water Quality Monitoring
  • Varotsos, Costas A., Krapivin, Vladimir F., Mkrtchyan, Ferdenant A., Xue, Yong
Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v. 1.0)
  • Weng, Ensheng, Aleinov, Igor, Singh, Ram, Puma, Michael J., McDermid, Sonali S., Kiang, Nancy Y., Kelley, Maxwell, Wilcox, Kevin, Dybzinski, Ray, Farrior, Caroline E., Pacala, Stephen W., Cook, Benjamin I.
ALLOMETRIC MODELS FOR ESTIMATING ABOVEGROUND BIOMASS AND CARBON STOCK IN PLANTED AQUILARIA MALACCENSIS STAND
  • Abd-Majid, J, Hazandy, AH, Nor-Azah, MA, Johar, M
Global analysis reveals an environmentally driven latitudinal pattern in
  • Bassler, Claus, Brandl, Roland, Muller, Jorg, Krah, Franz S., Reinelt, Arthur, Halbwachs, Hans
Comparisons of the spatial extent of eastern US tree species between expert-drawn Little's range map and Forest Inventory and Analysis
  • Baker, Bradley W., Kwon, Youngsang
The review of the internet open spatial resources on earths vegetation cover
Fusion of Multiple Gridded Biomass Datasets for Generating a Global
  • Zhang, Yuzhen, Liang, Shunlin
Global-scale daily riverine DOC fluxes from lands to the oceans with a generic model
  • Fabre, C., Sauvage, S., Probst, J.-L., Sanchez-Perez, J.M.
A Review of Regional and Global Gridded Forest Biomass Datasets
  • Zhang, Yuzhen, Liang, Shunlin, Yang, Lu
Contrasting diversity patterns of breeding Anatidae in the Northern and
  • Zeng, Qing, Reid, Julian, Saintilan, Neil, Colloff, Matthew J., Lei, Guangchun, Wen, Li
Allometric relationships of stem volume and stand level carbon stocks at varying stand density in Swietenia macrophylla King plantations, Bangladesh
  • Khan, Md. Nabiul Islam, Shil, Mithun Chandra, Azad, Md. Salim, Sadath, Md. Nazmus, Feroz, S.M., Mollick, Abdus Subhan
A new big data approach based on geoecological information-modeling system
  • Varotsos, Costas A., Krapivin, Vladimir F.
Classification of global land development phases by forest and GDP changes for appropriate land management in the mid-latitude
  • Song, Cholho, Kim, Sea, Moon, Jooyeon, Lee, Soo, Lee, Wona, Kim, Nahui, Wang, Sonam, Lee, Woo-Kyun
Assessing the influence of historic net and gross land changes on the carbon fluxes of Europe
  • Fuchs, Richard, Schulp, Catharina J. E., Hengeveld, Geerten M., Verburg, Peter H., Clevers, Jan G. P. W., Schelhaas, MartJan, Herold, Martin
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