The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
The HYDE 3.1 spatially explicit database of human‐induced global land‐use change over the past 12,000 years
Abstract
Aim This paper presents a tool for long‐term global change studies; it is an update of the History Database of the Global Environment (HYDE) with estimates of some of the underlying demographic and agricultural driving factors. Methods Historical population, cropland and pasture statistics are combined with satellite information and specific allocation algorithms (which change over time) to create spatially explicit maps, which are fully consistent on a 5′ longitude/latitude grid resolution, and cover the period 10,000 bc to ad 2000. Results Cropland occupied roughly less than 1% of the global ice‐free land area for a long time until ad 1000, similar to the area used for pasture. In the centuries that followed, the share of global cropland increased to 2% in ad 1700 ( c . 3 million km 2 ) and 11% in ad 2000 (15 million km 2 ), while the share of pasture area grew from 2% in ad 1700 to 24% in ad 2000 (34 million km 2 ) These profound land‐use changes have had, and will continue to have, quite considerable consequences for global biogeochemical cycles, and subsequently global climate change. Main conclusions Some researchers suggest that humans have shifted from living in the Holocene (emergence of agriculture) into the Anthropocene (humans capable of changing the Earth's atmosphere) since the start of the Industrial Revolution. But in the light of the sheer size and magnitude of some historical land‐use changes (e.g. as result of the depopulation of Europe due to the Black Death in the 14th century and the aftermath of the colonization of the Americas in the 16th century) we believe that this point might have occurred earlier in time. While there are still many uncertainties and gaps in our knowledge about the importance of land use (change) in the global biogeochemical cycle, we hope that this database can help global (climate) change modellers to close parts of this gap.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Population size expanded dramatically with the advent of agriculture, beginning ∼10 kyr and grew exponentially from an estimated five million to over 100 million by 3000 years ago (Goldewijk et al., 2011).”
From When and Why Did Human Brains Decrease in Size? A New Change-Point Analysis and Insights From Brain Evolution in Ants (2021) · cites this paper as Goldewijk et al., 2011
In the citing paper
“HYDE, the first and most popular model (Figs. 1A and 2 A and C) (31), effectively omits land-use intensification by assuming that land-use per capita remained approximately constant over time, closely resembling the pattern in A.D. 1961”
From Used planet: a global history (2013) · cites this paper as [31]
In the citing paper
“Although showing some significant differences, global land-use reconstructions for the past 300 y tend toward similar regional and global trends (31).”
From Used planet: a global history (2013) · cites this paper as [31]
In the citing paper
“there are significant differences in the land-use definitions of different models, with HYDE focusing exclusively on cultivated, pasture, and urban areas, and KK10 on land use more generally, including shifting cultivation and forest harvest along with agricultural land use.”
From Used planet: a global history (2013) · cites this paper as [31]
In the citing paper
“Global land use and population datasets divided into five arc minute grid cells (spatial resolution ∼85 km2 at the equator) were obtained for the HYDE 3.1 (19, 31) and KK10 (4) global land-use models.”
From Used planet: a global history (2013) · cites this paper as [31]
Citations
Cites
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Freshwater biodiversity: importance, threats, status and conservation challenges
Dudgeon, D., Arthington, A. H., Gessner, M. O., Kawabata, Z., Knowler, D. J., Lévêque, C., Naiman, R. J., Prieur‐Richard, A., Soto, D., Stiassny, M. L. J., et al. (2006) · Biological Reviews · doi:10.1017/s1464793105006950 · Cited by 8,489
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
Loveland, T. R., Reed, B. C., Brown, J. F., Ohlen, D. O., Zhu, Z., Yang, L., & Merchant, J. W. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210191 · Cited by 2,584
Maddison, A. (2001) · Development Centre studies · doi:10.1787/9789264189980-en · Cited by 2,197
Prentice, I. C., Crämer, W., Harrison, S. P., Leemans, R., Monserud, R. A., & Solomon, A. M. (1992) · Journal of Biogeography · doi:10.2307/2845499 · Cited by 2,106
Trends in the sources and sinks of carbon dioxide
Quéré, C. L., Raupach, M., Canadell, J. G., Marland, G., Bopp, L., Ciais, P., Conway, T. J., Doney, S. C., Feely, R. A., Foster, P., et al. (2009) · Nature Geoscience · doi:10.1038/ngeo689 · Cited by 2,096
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
Crämer, W., Bondeau, A., Woodward, F. I., Prentice, I. C., Betts, R., Brovkin, V. A., Cox, P. M., Fisher, V. A., Foley, J. A., Friend, A. D., et al. (2001) · Global Change Biology · doi:10.1046/j.1365-2486.2001.00383.x · Cited by 2,023
The Anthropogenic Greenhouse Era Began Thousands of Years Ago
Ruddiman, W. F. (2003) · Climatic Change · doi:10.1023/b:clim.0000004577.17928.fa · Cited by 1,658 · cited 2×
“Although estimates of historical CO 2 emissions from land use changes are uncertain (Ruddiman, 2003), most studies (DeFries et al., 1999; Houghton, 1999; McGuire et al., 2001; Pacala et al., 2001; Houghton, 2003) indicate that land use change is an important net for the 1990s, roughly one-fifth of…”
Background
Research works printed but not linked: 7
- Australian Surveying and Land Information Group (AUSLIG), 1990, Atlas of Australian resources: vegetation
- Bouwman A.F., 2006, Integrated modelling of global environmental change. An overview of IMAGE 2.4
- 10.1034/j.1600-0889.1999.00013.x · DOI · Paper page
- 10.1034/j.1600-0889.2003.01450.x · DOI
- Klein Goldewijk K., 2006, Integrated modelling of global environmental change. An overview of IMAGE 2.4, 93
- McEvedy C., 1978, World atlas of population history
- Tett S. Betts R. Crowley T.J. Jones A. Gregory J. Oestroem E. Roberts D.L.&Woodage M.J.(2005)Simulating the recent Holocene.85th AMS Annual Meeting American Meteorological Society – Combined Preprints pp.2021–2029 AMS San Diego CA.
Cited by
Sorted by citations
Items 701–800 of 1,000
Global extinction of Slender‐billed Curlew ( Numenius tenuirostris )
Buchanan, G. M., Chapple, B., Berryman, A. J., Crockford, N. J., Jansen, J. J. F. J., & Bond, A. L. (2024) · Ibis · doi:10.1111/ibi.13368 · Cited by 16
Shi, J., Li, M., Xu, Q., Li, Y., & Zhang, S. (2023) · CATENA · doi:10.1016/j.catena.2023.107623 · Cited by 16
The underestimated magnitude and decline trend in near‐surface wind over China
Jiang, Y. H., Xu, X., Liu, H., Dong, X., Wang, W., & Jia, G. (2017) · Atmospheric Science Letters · doi:10.1002/asl.791 · Cited by 16
Spatially Continuous Land-Cover Reconstructions Through the Holocene in Southern Sweden
O’Dwyer, R., Marquer, L., Trondman, A., & Jönsson, A. M. (2021) · Ecosystems · doi:10.1007/s10021-020-00594-5 · Cited by 16
From local measures to regional impacts: Modelling changes in nutrient loads to the Baltic Sea
Capell, R., Bartošová, A., Tonderski, K. S., Arheimer, B., Pedersen, S. M., & Zīlāns, A. (2021) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2021.100867 · Cited by 16
Zhao, C., He, F., Yang, F., & Li, S. (2022) · Quaternary International · doi:10.1016/j.quaint.2022.03.020 · Cited by 16
Immerzeel, B., Vermaat, J. E., Collentine, D., Juutinen, A., Kronvang, B., Skarbøvik, E., & Carstensen, M. V. (2023) · CATENA · doi:10.1016/j.catena.2022.106902 · Cited by 16
Yang, X., Guo, B., Jin, X., Long, Y., & Zhou, Y. (2015) · Chinese Geographical Science · doi:10.1007/s11769-015-0753-2 · Cited by 16
Li, Y., Ye, Y., Zhang, C., Li, J., & Fang, X. (2019) · Regional Environmental Change · doi:10.1007/s10113-019-01575-8 · Cited by 16
Urbanization and Human Population Favor Species Richness of Alien Birds
Lazarina, M., Tsianou, M. A., Boutsis, G., Andrikou‐Charitidou, A., Karadimou, E., & Kallimanis, A. S. (2020) · Diversity · doi:10.3390/d12020072 · Cited by 17
Yamada, T., & Yamada, H. (2021) · Journal of Development Economics · doi:10.1016/j.jdeveco.2020.102611 · Cited by 19
Lu, Y., Huang, Y., Zhuang, Q., Sun, W. B., Chen, S., & Lu, J. (2022) · Carbon Balance and Management · doi:10.1186/s13021-022-00215-9 · Cited by 15
Climate‐linked increasing vegetation fires in global high mountains
Xu, C., & You, C. (2022) · Ecography · doi:10.1111/ecog.06527 · Cited by 15
Country-level estimates of gross and net carbon fluxes from land use, land-use change and forestry
Obermeier, W. A., Schwingshackl, C., Bastos, A., Conchedda, G., Gasser, T., Grassi, G., Houghton, R. A., Tubiello, F. N., Sitch, S. A., & Pongratz, J. (2024) · Earth system science data · doi:10.5194/essd-16-605-2024 · Cited by 15
The Representation of Human-Environment Interactions in Land Change Research and Modelling
Verburg, P. H. (2014) · Springer eBooks · doi:10.1007/978-94-017-8959-2_8 · Cited by 15
Eliseev, A. V., Mokhov, I. I., & Chernokulsky, А. V. (2017) · Izvestiya Atmospheric and Oceanic Physics · doi:10.1134/s0001433817010054 · Cited by 15
Feng, G., Huang, X., Mao, L., Wang, N., Yang, X., & Wang, Y. (2020) · Avian Research · doi:10.1186/s40657-020-00203-y · Cited by 15
The bounty of the sea and long-run development
Dalgaard, C., Knudsen, A. S. B., & Selaya, P. (2020) · Journal of Economic Growth · doi:10.1007/s10887-020-09181-8 · Cited by 29
Threatened bird species are concentrated in regions with less historical human impacts
Yang, X., Li, S., Hughes, A. C., & Feng, G. (2021) · Biological Conservation · doi:10.1016/j.biocon.2021.108978 · Cited by 15
Thapa, A., Pradhan, P., Joshi, B. D., Mukherjee, T., Thakur, M. K., Chandra, K., & Sharma, L. K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255082 · Cited by 15
Haney, N. R., & Cohen, S. (2015) · Applied Geography · doi:10.1016/j.apgeog.2015.05.010 · Cited by 15
Climate interacts with anthropogenic drivers to determine extirpation dynamics
Comte, L., Hugueny, B., & Grenouillet, G. (2015) · Ecography · doi:10.1111/ecog.01871 · Cited by 15
Is the Anthropocene really worthy of a formal geologic definition?
Certini, G., & Scalenghe, R. (2014) · The Anthropocene Review · doi:10.1177/2053019614563840 · Cited by 15
Chaput, M. A., & Gajewski, K. (2018) · Botany · doi:10.1139/cjb-2017-0193 · Cited by 18
Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia
Wei, X., Widgren, M., Li, B., Ye, Y., Fang, X., Zhang, C., & Chen, T. (2021) · Earth system science data · doi:10.5194/essd-13-3035-2021 · Cited by 16
Comparison between reconstructions of global anthropogenic land cover change over past two millennia
Yan, M., Wang, Z., Kaplan, J. O., Liu, J., Min, S., & Wang, S. (2013) · Chinese Geographical Science · doi:10.1007/s11769-013-0596-7 · Cited by 15
Wind erosion response to past and future agro-pastoral trajectories in the Sahel (Niger)
Pierre, C., Hiernaux, P., Rajot, J., Kergoat, L., Webb, N., Touré, A., Marticorena, B., & Bouet, C. (2021) · Landscape Ecology · doi:10.1007/s10980-021-01359-8 · Cited by 13
Lo, E. L., Yeager, K. M., Bergier, I., Luz, L. D., Silva, A., & McGlue, M. M. (2022) · Frontiers in Earth Science · doi:10.3389/feart.2022.875919 · Cited by 16
Ye, Y., Li, J., Fang, X., Zhang, D., Zhao, Z., Wu, Z., Lu, Y., & Li, B. (2022) · Boreas · doi:10.1111/bor.12598 · Cited by 14
Mashhadi, N., & Algancı, U. (2022) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi11110573 · Cited by 14
Landscape Taphonomy Predictably Complicates Demographic Reconstruction
Contreras, D. A., & Codding, B. F. (2023) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-023-09634-5 · Cited by 15
Post, R. (2017) · History Compass · doi:10.1111/hic3.12392 · Cited by 14
Mammalian tolerance to humans is predicted by body mass: evidence from long‐term archives
Crees, J. J., Turvey, S. T., Freeman, R., & Carbone, C. (2019) · Ecology · doi:10.1002/ecy.2783 · Cited by 14
Steep topography buffers threatened gymnosperm species against anthropogenic pressures in China
Jensen, D. A., Ma, K., & Svenning, J. (2020) · Ecology and Evolution · doi:10.1002/ece3.5983 · Cited by 14
Zhao, Z., Fang, X., Ye, Y., Zhang, C., & Zhang, D. (2020) · Journal of Geographical Sciences · doi:10.1007/s11442-020-1783-y · Cited by 14
Findley, D. M., Bankoff, G., Barretto‐Tesoro, G., Hamilton, R. J., Kay, A. U., Acabado, S. B., Amano, N., Kaplan, J. O., & Roberts, P. (2022) · Frontiers in Earth Science · doi:10.3389/feart.2022.680926 · Cited by 14
System dynamics simulations for data-intensive applications
Neuwirth, C. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.06.017 · Cited by 14
Cao, M., Zhu, Y., Lü, G., Chen, M., & Qiao, W. (2019) · Sustainability · doi:10.3390/su11051242 · Cited by 14
Long-term transients help explain regime shifts in consumer-renewable resource systems
Eppinga, M. B., Siteur, K., Baudena, M., Reader, M. O., Veen, H. V. ’., Anderies, J. M., & Santos, M. J. (2021) · Communications Earth & Environment · doi:10.1038/s43247-021-00112-y · Cited by 14
The Heavy Plough and the Agricultural Revolution in Medieval EuropePreprint
Andersen, T. B., Jensen, P. S., & Skovsgaard, C. S. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2362894 · Cited by 14
Bastos, A., Peregon, A. M., Gani, É. A., Khudyaev, S. A., Yue, C., Li, W., Gouveia, C. M., & Ciais, P. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aac4d3 · Cited by 13
Agronomy in the temperate zone and threats or mitigation from climate change: A review
Dmuchowski, W., Baczewska-Dąbrowska, A. H., & Gworek, B. (2022) · CATENA · doi:10.1016/j.catena.2022.106089 · Cited by 13
Alexandra, J. (2022) · Sustainability · doi:10.3390/su14073952 · Cited by 13
Luja, V. H., Báez, D. J. G., González, O. N., & Vega‐Frutis, R. (2022) · Oryx · doi:10.1017/s0030605321001617 · Cited by 13
Salim, W., & Faoziyah, U. (2022) · Journal of Regional and City Planning · doi:10.5614/jpwk.2022.33.1.3 · Cited by 13
Long-Term Urban and Population Trends in the Southern Mesopotamian Floodplains
Marchetti, N., Bortolini, E., Sartorio, J. C. M., Orrù, V., & Zaina, F. (2024) · Journal of Archaeological Research · doi:10.1007/s10814-024-09197-3 · Cited by 15
Liu, W., Zhang, X., Hong, X., Zhao, T., Wang, J., Li, Z., & Liu, L. (2024) · Remote Sensing · doi:10.3390/rs16060978 · Cited by 15
Causes of Regional Change—Land Cover
Gaillard, M., Kleinen, T., Samuelsson, P., Nielsen, A. B., Bergh, J., Kaplan, J. O., Poska, A., Sandström, C., Strandberg, G., Trondman, A., et al. (2015) · Regional climate studies · doi:10.1007/978-3-319-16006-1_25 · Cited by 13
Evaluating the reliability of global historical land use scenarios for forest data in China
Yang, F., He, F., Li, M., & Li, S. (2020) · Journal of Geographical Sciences · doi:10.1007/s11442-020-1771-2 · Cited by 13
Calle, L., Poulter, B., & Patra, P. K. (2019) · Atmospheric measurement techniques · doi:10.5194/amt-12-2611-2019 · Cited by 13
Impact of large reservoirs on simulated discharges of Brazilian rivers
Passaia, O. A., Siqueira, V. A., Brêda, J. P. L. F., Fleischmann, A. S., & de Paiva, R. C. D. (2020) · Revista Brasileira de Recursos Hídricos · doi:10.1590/2318-0331.252020190084 · Cited by 13
Yang, X., Jin, X., Xue, Q., & Zhou, Y. (2022) · Land Use Policy · doi:10.1016/j.landusepol.2021.105951 · Cited by 12
Guiot, J., Bernigaud, N., Bondeau, A., Bouby, L., & Crämer, W. (2023) · Climate of the past · doi:10.5194/cp-19-1219-2023 · Cited by 16
Stackpoole, S., Oelsner, G., Stets, E., Hecht, J., Johnson, Z. C., Tesoriero, A., Walvoord, M., Chanat, J. G., Dunne, K., Goodling, P. J., et al. (2023) · JAWRA Journal of the American Water Resources Association · doi:10.1111/1752-1688.13137 · Cited by 11
Zhang, M., Gao, Y.-H., Zhang, L., & Yang, K. (2024) · Climate Dynamics · doi:10.1007/s00382-023-07090-1 · Cited by 13
Reconciling ice core CO2 and land-use change following New World-Old World contact
King, A., Bauska, T., Brook, E. J., Kalk, M. L., Nehrbass‐Ahles, C., Wolff, E. W., Strawson, I., Rhodes, R. H., & Osman, M. (2024) · Nature Communications · doi:10.1038/s41467-024-45894-9 · Cited by 12
How to map biomes: Quantitative comparison and review of biome‐mapping methods
Champreux, A., Saltré, F., Traylor, W., Hickler, T., & Bradshaw, C. J. A. (2024) · Ecological Monographs · doi:10.1002/ecm.1615 · Cited by 16
Zhang, L., Jiang, L., & Zhang, X. (2017) · Journal of Geographical Sciences · doi:10.1007/s11442-017-1431-3 · Cited by 12
Global Land Temperature Prediction by Machine Learning Combo Approach
Himika, Kaur, S., & Randhawa, S. (2018) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt.2018.8494173 · Cited by 12
Yu, F., Sun, Y., Wang, T., Skidmore, A. K., Ding, C., & Ye, X. (2021) · Integrative Zoology · doi:10.1111/1749-4877.12581 · Cited by 12
IUCN, I. U. F. C. O. N. (2021) · doi:10.2305/iucn.ch.2021.02.en · Cited by 12
The local costs of global climate change: spatial GDP downscaling under different climate scenarios
Rizzati, M. C. P., Standardi, G., Guastella, G., Parrado, R., Bosello, F., & Pareglio, S. (2022) · Spatial Economic Analysis · doi:10.1080/17421772.2022.2096917 · Cited by 12
Alien parakeets as a potential threat to the common noctule Nyctalus noctula
Giuntini, S., Ancillotto, L., Falaschi, M., Viviano, A., Palagi, E., & Mori, E. (2022) · Biodiversity and Conservation · doi:10.1007/s10531-022-02476-9 · Cited by 12
Hoevers, R., Broothaerts, N., & Verstraeten, G. (2022) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2022.107832 · Cited by 12
Blettler, D. C., Manresa, J. A. B., & Fagúndez, G. A. (2022) · Spanish Journal of Agricultural Research · doi:10.5424/sjar/2022204-19516 · Cited by 12
Serrano, A. R., Musumeci, A., Li, J., Serrano, M. R., & Barquín, C. S. (2024) · Environment Development and Sustainability · doi:10.1007/s10668-024-04470-3 · Cited by 18
McCleery, R. A., Holdorf, A. R., Hubbard, L. L., & Peer, B. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120375 · Cited by 12
Recent changes in the global and regional carbon cycle: analysis of first-order diagnostics
Rayner, P. J., Stavert, A. R., Scholze, M., Ahlström, A., Allison, C. E., & Law, R. M. (2015) · Biogeosciences · doi:10.5194/bg-12-835-2015 · Cited by 12
Wei, X., Ye, Y., Zhang, Q., & Fang, X. (2015) · Applied Geography · doi:10.1016/j.apgeog.2015.11.002 · Cited by 12
Temperatures, food riots, and adaptation: A long-term historical analysis of England
de Juan, A., & Wegenast, T. (2020) · Journal of Peace Research · doi:10.1177/0022343319863474 · Cited by 11
Improving carbon sequestration estimation through accounting carbon stored in grassland soil
Ricard, M. F., & Viglizzo, E. F. (2019) · MethodsX · doi:10.1016/j.mex.2019.12.003 · Cited by 12
Exploring Spatiotemporal Pattern of Grassland Cover in Western China from 1661 to 1996
Yang, F., He, F., Li, S., & Li, M. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16173160 · Cited by 12
Using provenance analysis in an Anthropocene natural laboratory
Sickmann, Z. T., Chheda, T. D., Capaldi, T., Thomson, K. D., Paull, C. K., & Graham, S. A. (2019) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2019.105890 · Cited by 12
Puttick, J. R., Hoffman, M. T., & O'Connor, T. G. (2022) · African Journal of Range and Forage Science · doi:10.2989/10220119.2022.2033322 · Cited by 13
Reconstruction of cropland areas for South Asia from AD 640 to 2016
Liu, X., Li, S., He, F., & Hua, L. (2022) · Regional Environmental Change · doi:10.1007/s10113-022-01911-5 · Cited by 11
War and Welfare in Colonial Algeria
Koehler‐Derrick, G., & Lee, M. M. (2023) · International Organization · doi:10.1017/s0020818322000376 · Cited by 11
An approach to spatially explicit reconstruction of historical forest in Northeast China
Li, S., He, F., & Zhang, X. (2014) · Journal of Geographical Sciences · doi:10.1007/s11442-014-1135-x · Cited by 11
Land Use in Australia: Past, Present and Future
Thackway, R. (2018) · ANU Press eBooks · doi:10.22459/lua.02.2018 · Cited by 11
Yang, Y., & Zhang, S. (2018) · Sustainability · doi:10.3390/su10113940 · Cited by 11
MICHAUX, J. R., Hürner, H., Kryštufek, B., Sarà, M., Ribas, A., Ruch, T., Vekhnik, V. A., & Renaud, S. (2018) · Biological Journal of the Linnean Society · doi:10.1093/biolinnean/bly176 · Cited by 11
Pearman-Gillman, S. B., Duveneck, M. J., Murdoch, J. D., & Donovan, T. M. (2020) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2020.00164 · Cited by 11
How Old Are Marshes on the East Coast, USA? Complex Patterns in Wetland Age Within and Among Regions
Braswell, A., Heffernan, J. B., & Kirwan, M. L. (2020) · Geophysical Research Letters · doi:10.1029/2020gl089415 · Cited by 11
Bhattarai, K., & Conway, D. (2020) · Advances in Asian human-environmental research · doi:10.1007/978-3-030-50168-6_5 · Cited by 12
Environmental stress and agricultural landownership in Africa
Linke, A. M., & Tollefsen, A. F. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102237 · Cited by 11
Su, Y., Chu, G., Liu, Q., Jiang, Z., Gao, X., & Torsten Haberzettl, A. (2015) · Geochemistry Geophysics Geosystems · doi:10.1002/2015gc005880 · Cited by 11
Quantification of human–environment interactions in the past
Verstraeten, G. (2014) · Anthropocene · doi:10.1016/j.ancene.2015.06.002 · Cited by 11
Reconstructing the historical spatial land use pattern for Jiangsu Province in mid-Qing Dynasty
Jin, X., Pan, Q., Yang, X., Bai, Q., & Zhou, Y. (2016) · Journal of Geographical Sciences · doi:10.1007/s11442-016-1353-5 · Cited by 11
The Literary Inquisition: The Persecution of Intellectuals and Human Capital Accumulation in ChinaPreprint
Koyama, M., & Xue, M. M. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2563609 · Cited by 11
Population Diversity, Division of Labor and the Emergence of Trade and StatePreprint
Depetris-Chauvín, E., & Özak, Ö. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2679382 · Cited by 12
The Protestant Legacy: Missions and Human Capital in IndiaPreprint
Calvi, R., Mantovanelli, F. G., & Hoehn‐Velasco, L. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3354891 · Cited by 12
Spatial patterns of communal violence in sub-Saharan Africa
Döring, S., & Mustasilta, K. (2023) · Journal of Peace Research · doi:10.1177/00223433231168187 · Cited by 12
Niu, H., Sun, Y., Wang, J., Marquer, L., Vessies, J., Sack, D., Chambers, F. M., & Jie, D. (2024) · Journal of Archaeological Science · doi:10.1016/j.jas.2024.105938 · Cited by 11
Richards, D. R., Etherington, T. R., Herzig, A., & Lavorel, S. (2024) · Land · doi:10.3390/land13040460 · Cited by 10
Land use change impacts on climate extremes over the historical period
Zhang, M., Gao, Y.-H., Wang, A.-H., Zhang, L., & Yang, K. (2024) · Climate Dynamics · doi:10.1007/s00382-024-07375-z · Cited by 10
Opportunities for carbon sequestration from removing or intensifying pasture-based beef production
Hayek, M., Piipponen, J., Kummu, M., Sahlin, K. R., McClelland, S. C., & Carlson, K. M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405758121 · Cited by 13
Banger, K., Tian, H., & Tao, B. (2013) · Journal of Land Use Science · doi:10.1080/1747423x.2013.858786 · Cited by 10
Wietzke, F. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108982672 · Cited by 10
Zhang, L., Jiang, L., & Zhang, X. (2015) · Journal of Geographical Sciences · doi:10.1007/s11442-015-1189-4 · Cited by 10
Liu, T., Zhang, S., Tang, J., & Li, T. (2012) · Chinese Geographical Science · doi:10.1007/s11769-012-0576-3 · Cited by 10
Estimating global cropland production from 1961 to 2010
Han, P., Zeng, N., Zhao, F., & Lin, X.-H. (2017) · Earth System Dynamics · doi:10.5194/esd-8-875-2017 · Cited by 8
Metadata
- Authors
- Klein Goldewijk, K., Beusen, A., van Drecht, G., & de Vos, M.
- Affiliations
- Netherlands Environmental Assessment Agency (NL)
- ORCID
- Beusen, Arthur
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2010-09-11
- Volume
- 20
- Issue
- 1
- Pages
- 73-86
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W1895518694
- Cited by
- 1,270
- References
- 72
- Citations by year
- 2026: 32 · 2025: 67 · 2024: 75 · 2023: 85 · 2022: 100 · 2021: 109 · 2020: 93 · 2019: 106 · 2018: 118 · 2017: 110 · 2016: 96 · 2015: 90 · 2014: 71 · 2013: 58 · 2012: 33
- FWCI
- 33.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Global Ecology and Biogeography (publishedVersion)
- Funders
- Planbureau voor de Leefomgeving
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Global and Planetary Change › Environmental Changes in China
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- land use change, cropland expansion, pasture expansion, historical population, agricultural expansion, Anthropocene, Holocene, global biogeochemical cycles, climate change modeling, Black Death, colonization of the Americas
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review