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Unexpectedly large impact of forest management and grazing on global vegetation biomass
Open accessAbstract
Carbon stocks in vegetation have a key role in the climate system. However, the magnitude, patterns and uncertainties of carbon stocks and the effect of land use on the stocks remain poorly quantified. Here we show, using state-of-the-art datasets, that vegetation currently stores around 450 petagrams of carbon. In the hypothetical absence of land use, potential vegetation would store around 916 petagrams of carbon, under current climate conditions. This difference highlights the massive effect of land use on biomass stocks. Deforestation and other land-cover changes are responsible for 53-58% of the difference between current and potential biomass stocks. Land management effects (the biomass stock changes induced by land use within the same land cover) contribute 42-47%, but have been underestimated in the literature. Therefore, avoiding deforestation is necessary but not sufficient for mitigation of climate change. Our results imply that trade-offs exist between conserving carbon stocks on managed land and raising the contribution of biomass to raw material and energy supply for the mitigation of climate change. Efforts to raise biomass stocks are currently verifiable only in temperate forests, where their potential is limited. By contrast, large uncertainties hinder verification in the tropical forest, where the largest potential is located, pointing to challenges for the upcoming stocktaking exercises under the Paris agreement.
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“The biomass of the world ' s vegetation ( 25 ) has halved over human history”
From Pervasive human-driven decline of life on Earth points to the need for transformative change (2019) · cites this paper as [25]
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“The total biomass of crops cultivated by humans is estimated at ≈10 Gt C, which accounts for only ≈2% of the extant total plant biomass (17).”
From The biomass distribution on Earth (2018) · cites this paper as [17]
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“Combining data from independent sources such as these enables a robust assessment of the total plant biomass (17).”
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“The latter is estimated at 11.3 Mkm 2 in 2000 (9)”
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“Approximately 450 Gt of C is bound up in terrestrial biota, primarily in plants (86), while only ~6 Gt of C is found in ocean biota (87).”
From Earth beyond six of nine planetary boundaries (2023) · cites this paper as [86]
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“Land conversions (i.e., replacement of forests with cropland and pastures) and land management [i.e., harvesting of timber from managed forests or removal of herbaceous biomass through grazing (9)] almost equally cause these differences.”
From Restoring Degraded Lands (2021) · cites this paper as [9]
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“Converted grassland holds biomass stocks that are less than 10% of the potential biomass stock (9).”
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Cites
Terrestrial ecoregions of the world: a new map of life on Earth
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2 · Cited by 8,488
A large and persistent carbon sink in the world’s forests
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., et al. (2011) · Science · doi:10.1126/science.1201609 · Cited by 8,458
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H. (., et al. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.001 · Cited by 7,763
Jansen, E. H., Overpeck, J. T., Briffa, K., Duplessy, J., Joos, F., Masson-Delmotte, Olago, D., Otto‐Bliesner, B. L., Peltier, W. R., Rahmstorf, S., et al. (2007) · UEA Digital Repository (University of East Anglia) · Cited by 4,577
The Oceanic Sink for Anthropogenic CO 2
Sabine, C. L., Feely, R. A., Gruber, N., Key, R. M., Lee, K., Bullister, J. L., Wanninkhof, R., Wong, C. S., Wallace, D. W. R., Tilbrook, B., et al. (2004) · Science · doi:10.1126/science.1097403 · Cited by 4,035
Benchmark map of forest carbon stocks in tropical regions across three continents
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M. A., Mitchard, E. T. A., Salas, W., Zutta, B. R., Buermann, W., Lewis, S. L., Hagen, S. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019576108 · Cited by 2,504
The Human Footprint and the Last of the Wild
Sanderson, E. W., Jaiteh, M., Levy, M. A., Redford, K. H., Wannebo, A., & Woolmer, G. (2002) · BioScience · doi:10.1641/0006-3568(2002)052[0891:thfatl]2.0.co;2 · Cited by 2,472
Canadell, J. G., Le Quéré, C., Raupach, M. R., Field, C. B., Buitenhuis, E. T., Ciais, P., Conway, T. J., Gillett, N. P., Houghton, R. A., & Marland, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702737104 · Cited by 2,136
Estimating historical changes in global land cover: Croplands from 1700 to 1992
Ramankutty, N., & Foley, J. A. (1999) · Global Biogeochemical Cycles · doi:10.1029/1999gb900046 · Cited by 2,074
Monfreda, C., Ramankutty, N., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002947 · Cited by 1,895 · cited 1×
“Information on cropland types 32 was used to identify permanent crops, other trees within cropland 33 are not included in the cropland layer, complying with FAO definitions 31 .”
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- Ajtay, G. L., Ketner, P. & Duvigneaud, P. in The Global Carbon Cycle, SCOPE Report 13 129–182 (John Wiley & Sons, 1979)
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Items 101–200 of 726
Obermeier, W. A., Nabel, J. E. M. S., Loughran, T. F., Hartung, K., Bastos, A., Havermann, F., Anthoni, P. M., Arneth, A., Goll, D. S., Lienert, S., et al. (2021) · Earth System Dynamics · doi:10.5194/esd-12-635-2021 · Cited by 96
Self-citationProcess-oriented analysis of dominant sources of uncertainty in the land carbon sink
O’Sullivan, M., Friedlingstein, P., Sitch, S. A., Anthoni, P. M., Arneth, A., Arora, V. K., Bastrikov, V., Delire, C., Goll, D. S., Jain, A. K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32416-8 · Cited by 104
Self-citationKästner, T., Matej, S., Forrest, M., Gingrich, S., Haberl, H., Hickler, T., Krausmann, F., Lasslop, G., Niedertscheider, M., Plutzar, C., et al. (2021) · Global Change Biology · doi:10.1111/gcb.15932 · Cited by 90
Self-citationMeeting GHG reduction targets requires accounting for all forest sector emissions
Hudiburg, T. W., Law, B. E., Moomaw, W. R., Harmon, M. E., & Stenzel, J. E. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab28bb · Cited by 78
Carbon mitigation in agriculture: Pioneering technologies for a sustainable food system
Thamarai, P., Deivayanai, V. C., Saravanan, A., Vickram, A. S., & Yaashikaa, P. R. (2024) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2024.104477 · Cited by 84
Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem
Du, L., Zeng, Y., Ma, L., Qiao, C., Wu, H., Su, Z., & Bao, G. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108339 · Cited by 80
Integrating forest structural diversity measurement into ecological research
Atkins, J. W., Bhatt, P., Carrasco, L., Francis, E. J., Garabedian, J. E., Hakkenberg, C. R., Hardiman, B. S., Jung, J., Koirala, A., LaRue, E. A., et al. (2023) · Ecosphere · doi:10.1002/ecs2.4633 · Cited by 79
A guide to assess and value ecosystem services of grasslands
Richter, F. J., Jan, P., Benni, N. E., LÜSCHER, A., Buchmann, N., & Klaus, V. H. (2021) · Ecosystem Services · doi:10.1016/j.ecoser.2021.101376 · Cited by 79
Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity
Zhuang, Q., Shao, Z., Li, D., Huang, X., Li, Y., Altan, O., & Wu, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163074 · Cited by 80
Three flaws in defining a formal ‘Anthropocene’
Ruddiman, W. F. (2018) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133318783142 · Cited by 77
Keith, H., Vardon, M., Stein, J., & Lindenmayer, D. B. (2018) · Environmental Science & Policy · doi:10.1016/j.envsci.2018.11.001 · Cited by 77
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Oehmcke, S., Li, L., Trepekli, K., Revenga, J. C., Nord‐Larsen, T., Gieseke, F. C., & Igel, C. (2024) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113968 · Cited by 90
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Santopuoli, G., Temperli, C., Alberdi, I., Barbeito, I., Bošeľa, M., Bottero, A., Klopčić, M., Lesiński, J., Panzacchi, P., & Tognetti, R. (2020) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2020-0166 · Cited by 77
Change, I. P. O. C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009157988.008 · Cited by 78
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Bowring, S., Jones, M. W., Ciais, P., Guenet, B., & Abiven, S. (2022) · Nature Geoscience · doi:10.1038/s41561-021-00892-0 · Cited by 72
Sun, Z., Scherer, L., Zhang, Q., & Behrens, P. (2022) · Nature Food · doi:10.1038/s43016-022-00634-4 · Cited by 70
Semenov, V. M., Паутова, Н. Б., Lebedeva, T. N., Хромычкина, Д. П., Semenova, N. A., & de Gerenyu, V. О. L. (2019) · Eurasian Soil Science · doi:10.1134/s1064229319100119 · Cited by 69
Comparison of uncertainties in land-use change fluxes from bookkeeping model parameterisation
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Self-citationIto, A. (2019) · Earth System Dynamics · doi:10.5194/esd-10-685-2019 · Cited by 80
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Guo, Q., Xi, X., Yang, S., & Cai, M. (2022) · International Journal of Minerals Metallurgy and Materials · doi:10.1007/s12613-021-2374-3 · Cited by 66
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Cooper, D. L. M., Lewis, S. L., Sullivan, M. J. P., Prado, P. I., ter Steege, H., Barbier, N., Slik, F. J. W., Sonké, B., Ewango, C. E. N., Adu‐Bredu, S., et al. (2024) · Nature · doi:10.1038/s41586-023-06820-z · Cited by 75
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Wen, X., Zhai, Y., Zhang, L., Chen, Y., Zhu, Z., Chen, G., Wang, K., & Zhu, Y. (2022) · Science China Life Sciences · doi:10.1007/s11427-022-2083-9 · Cited by 65
Kalt, G., Mayer, A., Theurl, M. C., Lauk, C., Erb, K., & Haberl, H. (2019) · GCB Bioenergy · doi:10.1111/gcbb.12626 · Cited by 67
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Tian, Y., Yang, H., Wu, S., Yan, J., Cen, K., Luo, T., Xiong, G., Hou, Y., Bo, Z., & Ostrikov, K. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.104125 · Cited by 62
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Du, L., Gong, F., Zeng, Y., Ma, L., Qiao, C., & Wu, H. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106971 · Cited by 60
Albrich, K., Seidl, R., Rammer, W., & Thom, D. (2022) · Forestry An International Journal of Forest Research · doi:10.1093/forestry/cpac022 · Cited by 62
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Pinagé, E. R., Keller, M., Duffy, P. A., Longo, M., dos-Santos, M. N., & Morton, D. C. (2019) · Remote Sensing · doi:10.3390/rs11060709 · Cited by 57
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Song, Z., Wu, Y., Yang, Y., Zhang, X., ZWIETEN, L. V., Bolan, N. S., Li, Z., Liu, H., Hao, Q., Yu, C., et al. (2022) · Global Change Biology · doi:10.1111/gcb.16092 · Cited by 56
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Lorenz, K. E., & Lal, R. (2018) · Springer eBooks · doi:10.1007/978-3-319-92318-5_4 · Cited by 59
Kalliokoski, T., Bäck, J. K., Boy, M. H., Kulmala, M., Kuusinen, N., Mäkelä, A., Minkkinen, K., Minunno, F., Paasonen, P., Peltoniemi, M., et al. (2020) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2020.562044 · Cited by 69
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Fernández, P. D., Kuemmerle, T., Baumann, M., Grau, H. R., Nasca, J., Radrizzani, A., & Gasparri, I. (2020) · Journal of Land Use Science · doi:10.1080/1747423x.2020.1720843 · Cited by 55
Hill, M. J., & Guerschman, J. P. (2021) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2021.107719 · Cited by 60
Closing an open balance: The impact of increased tree harvest on forest carbon
Soimakallio, S., Böttcher, H., Niemi, J., Mosley, F., Turunen, S., Hennenberg, K., Reise, J., & Fehrenbach, H. (2022) · GCB Bioenergy · doi:10.1111/gcbb.12981 · Cited by 55
Yang, H., Ciais, P., Santoro, M., Huang, Y., Li, W., Wang, Y., Bastos, A., Goll, D. S., Arneth, A., Anthoni, P. M., et al. (2020) · Global Change Biology · doi:10.1111/gcb.15117 · Cited by 59
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Ito, G., Romanou, A., Kiang, N. Y.-L., Faluvegi, G., Aleinov, I., Ruedy, R. A., Russell, G. L., Lerner, P. E., Kelley, M., & Lo, K. K. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms002030 · Cited by 60
Qin, Y., Yi, S., Ding, Y., Qin, Y., Zhang, W., Sun, Y., Hou, X., Yu, H., Meng, B., Zhang, H., et al. (2020) · Plant and Soil · doi:10.1007/s11104-020-04489-1 · Cited by 54
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Löw, M., & Koukal, T. (2020) · Remote Sensing · doi:10.3390/rs12244191 · Cited by 56
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Iwasaki, Y., Sawada, R., Saitoh, E., & Ishida, M. (2021) · Communications Materials · doi:10.1038/s43246-021-00135-0 · Cited by 56
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Chiarucci, A., & Piovesan, G. (2019) · Conservation Biology · doi:10.1111/cobi.13408 · Cited by 53
Effect of northern boreal forest fires on PAH fluctuations across the arctic
Luo, J., Han, Y., Zhao, Y., Huang, Y., Liu, X., Tao, S., Liu, J., Huang, T., Wang, L., Chen, K., et al. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114186 · Cited by 54
Feng, H., Wang, S., Zou, B., Nie, Y., Ye, S., Ding, Y., & Zhu, S. (2022) · Advances in Space Research · doi:10.1016/j.asr.2022.09.054 · Cited by 52
The role of high-biodiversity regions in preserving Nature’s Contributions to People
Cimatti, M., Chaplin‐Kramer, R., & Marco, M. D. (2023) · Nature Sustainability · doi:10.1038/s41893-023-01179-5 · Cited by 54
Collalti, A., THORNTON, P. E., Cescatti, A., Rita, A., Borghetti, M., Nolè, A., Trotta, C., Ciais, P., & Matteucci, G. (2018) · Ecological Applications · doi:10.1002/eap.1837 · Cited by 51
Li, M., Wu, J., Feng, Y., Niu, B., He, Y., & Zhang, X. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.631024 · Cited by 52
Oliver, R. J., Mercado, L. M., Clark, D. B., Huntingford, C., Taylor, C. M., Vidale, P. L., McGuire, P. C., Todt, M., Folwell, S. S., Semeena, V. S., et al. (2022) · Geoscientific model development · doi:10.5194/gmd-15-5567-2022 · Cited by 50
Qi, A., Holland, R. A., Taylor, G., & Richter, G. M. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.03.395 · Cited by 50
Longo, M., Knox, R., Levine, N. M., Swann, A. L. S., Medvigy, D., Dietze, M. C., Kim, Y., Zhang, K., Bonal, D., Burban, B., et al. (2019) · Geoscientific model development · doi:10.5194/gmd-12-4347-2019 · Cited by 51
Noë, J. L., Erb, K., Matej, S., Magerl, A., Bhan, M., & Gingrich, S. (2021) · Nature Communications · doi:10.1038/s41467-021-26398-2 · Cited by 54
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Kalt, G., Lauk, C., Mayer, A., Theurl, M. C., Kaltenegger, K., Winiwarter, W., Erb, K., Matej, S., & Haberl, H. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab6c2e · Cited by 51
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Lazić, D., Geßner, C., Liepe, K. J., Lesur, I., Mäder, M., Blanc-Jolivet, C., Gömöry, D., Liesebach, M., González‐Martínez, S. C., Fladung, M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52933-y · Cited by 53
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Tamme, R., Pärtel, M., Kõljalg, U., Laanisto, L., Liira, J., Mander, Ü., Moora, M., Niinemets, Ü., Öpik, M., Ostonen, I., et al. (2020) · Global Ecology and Biogeography · doi:10.1111/geb.13236 · Cited by 42
Savari, M., Damaneh, H. E., & Damaneh, H. E. (2022) · Journal for Nature Conservation · doi:10.1016/j.jnc.2022.126153 · Cited by 42
Law, B. E., Moomaw, W. R., Hudiburg, T. W., Schlesinger, W. H., Sterman, J. D., & Woodwell, G. M. (2022) · Land · doi:10.3390/land11050721 · Cited by 42
Amara, E., Adhikari, H., Heiskanen, J., Siljander, M., Munyao, M., Omondi, P., & Pellikka, P. (2020) · Land · doi:10.3390/land9100381 · Cited by 41
Dong, L., & Huang, Z. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.139667 · Cited by 46
Jayathunga, S., Owari, T., & Tsuyuki, S. (2019) · Remote Sensing · doi:10.3390/rs11030338 · Cited by 41
Duveneck, M. J., & Thompson, J. R. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.01.009 · Cited by 43
Mechanism for Diffusion through Secondary Cell Walls in Lignocellulosic Biomass
Jakes, J. E. (2019) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.9b01430 · Cited by 41
Hertog, S. J. D., Havermann, F., Vanderkelen, I., Guo, S., Luo, F., Manola, I., Coumou, D., Davin, É. L., Duveiller, G., Lejeune, Q., et al. (2023) · Earth System Dynamics · doi:10.5194/esd-14-629-2023 · Cited by 41
Self-citationWang, C., Zhao, W., & Zhang, Y. (2022) · Remote Sensing · doi:10.3390/rs14164046 · Cited by 39
Grazing decreases carbon storage in the Qinghai-Tibet Plateau grasslands
Huang, X., Liu, X., Liao, L., Li, J., Luo, G., Li, B., Ma, Z., & Wang, Z. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02162-y · Cited by 39
Endsley, K. A., Zhao, M., Kimball, J. S., & Devadiga, S. (2023) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2023jg007457 · Cited by 41
Keith, H., Kun, Z., Hugh, S., Svoboda, M., Mikoláš, M., Adam, D., Bernatski, D., Blujdea, V. N. B., Bohn, F. J., Camarero, J. J., et al. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01416-5 · Cited by 46
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Lauri, P., Forsell, N., Gusti, M. I., Korosuo, A., Havlík, P., & Obersteiner, M. H. (2019) · Journal of Forest Economics · doi:10.1561/112.00000504 · Cited by 40
Mountrakis, G., & Heydari, S. S. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.05.005 · Cited by 37
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Morel, A., Sasu, M. A., Adu‐Bredu, S., Quaye, M., Moore, C., Asare, R. A., Mason, J., Hirons, M. A., McDermott, C. L., ROBINSON, E. J. Z., et al. (2019) · Global Change Biology · doi:10.1111/gcb.14661 · Cited by 38
Renewable absorbents for CO 2 capture: from biomass to nature
He, Q., Shi, M., Liang, F., Xu, L., Ji, L., & Yan, S. (2019) · Greenhouse Gases Science and Technology · doi:10.1002/ghg.1902 · Cited by 37
Shevliakova, E., Malyshev, S. L., Martínez, I., Milly, P. C. D., Pacala, S. W., Ginoux, P. A., Dunne, K. A., Dunne, J. P. P., Dupuis, C., Findell, K. L., et al. (2024) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2023ms003922 · Cited by 36
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Zhang, Y., Goll, D. S., Bastos, A., Balkanski, Y. J., Boucher, O., Cescatti, A., Collier, M. A., Gasser, T., Ghattas, J., Li, L., et al. (2019) · Global Biogeochemical Cycles · doi:10.1029/2018gb006051 · Cited by 36
Goodman, R. C., Aramburu, M. H., Gopalakrishna, T., Putz, F. E., Gutiérrez, N., Mena, J. L., Aguilar‐Amuchastegui, N., & Ellis, P. W. (2019) · Forest Ecology and Management · doi:10.1016/j.foreco.2019.02.037 · Cited by 42
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Finlayson, C., Roopsind, A., Griscom, B. W., Edwards, D. P., & Freckleton, R. P. (2022) · Ecology and Evolution · doi:10.1002/ece3.8758 · Cited by 34
Wang, X., Wang, R., & Gao, J. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.996313 · Cited by 35
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Shi, H., Tian, H., Pan, N., Reyer, C., Ciais, P., Chang, J., Forrest, M., Frieler, K., Fu, B., Gädeke, A., et al. (2021) · Global Biogeochemical Cycles · doi:10.1029/2020gb006800 · Cited by 35
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Bai, X., Zhang, S., Smith, P., Li, C., Xiong, L., Du, C., Xue, Y., Li, Z., Long, M., Li, M., et al. (2024) · Science China Earth Sciences · doi:10.1007/s11430-024-1391-0 · Cited by 34
A scalable model of vegetation transitions using deep neural networks
Rammer, W., & Seidl, R. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13171 · Cited by 34
Effects of forest management on biomass stocks in Romanian beech forests
Bouriaud, O., Don, A., Janssens, I. A., Marin, G., & Schulze, E. (2019) · Forest Ecosystems · doi:10.1186/s40663-019-0180-4 · Cited by 35
A comprehensive data-based assessment of forest ecosystem carbon stocks in the US 1907–2012
Magerl, A., Noë, J. L., Erb, K., Bhan, M., & Gingrich, S. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab5cb6 · Cited by 36
Self-citationMackey, B., Moomaw, W. R., Lindenmayer, D. B., & Keith, H. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac661b · Cited by 34
Ganoderma Lucidum-derived erythrocyte-like sustainable materials
Cui, J., Liu, J., Chen, X., Meng, J., Wei, S., Wu, T., Wang, Y., Xie, Y., Lu, C., & Zhang, X. (2022) · Carbon · doi:10.1016/j.carbon.2022.04.034 · Cited by 34
Metadata
- Authors
- Erb, K.-H., Kastner, T., Plutzar, C., Bais, A. L. S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., & Luyssaert, S.
- Affiliations
- University of Klagenfurt (AT)
- University of Vienna (AT)
- Max Planck Institute for Biogeochemistry (DE)
- Max Planck Institute for Meteorology (DE)
- Stockholm University (SE)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Erb, Karl-Heinz
- ORCID
- Venue
- Nature
- Published
- 2017-12-20
- Volume
- 553
- Issue
- 7686
- Pages
- 73-76
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5756473
- OpenAlex
- W2780388729
- Cited by
- 727
- References
- 79
- Citations by year
- 2026: 56 · 2025: 77 · 2024: 111 · 2023: 101 · 2022: 131 · 2021: 78 · 2020: 80 · 2019: 61 · 2018: 31
- FWCI
- 32.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Space Agency
- European Commission (640176, H2020, 263522, UID/AMB/04085/2013)
- Vetenskapsrådet (621‐2014‐4266)
- Horizon 2020 Framework Programme (640176)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest Management and Policy
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest ecology and management
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- terrestrial carbon stocks, plant biomass, land use change, deforestation, forest management, grazing, carbon loss, climate change mitigation, biomass energy, tropical forests, temperate forests, carbon verification
- MeSH terms
- Animals, Animal Husbandry, Carbon, Conservation of Natural Resources, Human Activities, Plants, Trees, Tropical Climate, Forestry, Biomass, Uncertainty, Internationality, Global Warming, Carbon Sequestration, Forests
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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.
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