Cited by 1,270Land Use and Ecosystem ServicesEnvironmental Changes in ChinaRemote Sensing in Agriculture

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The HYDE 3.1 spatially explicit database of human‐induced global land‐use change over the past 12,000 years

Klein Goldewijk, Kees, Beusen, Arthur, van Drecht, Gerard, de Vos, Martine·2011·Global Ecology and Biogeography

DOI 10.1111/j.1466-8238.2010.00587.x

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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.

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Climate change 2007 : the physical science basis : contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
Solomon, S. (2007) · Cited by 17,554
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
The World Economy
Maddison, A. (2001) · Development Centre studies · doi:10.1787/9789264189980-en · Cited by 2,197
Special Paper: A Global Biome Model Based on Plant Physiology and Dominance, Soil Properties and Climate
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
Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models
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…”
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Show all 72 references

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.

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Pandey, B., Zhang, Q., & Seto, K. C. (2018) · Journal of Land Use Science · doi:10.1080/1747423x.2018.1533042 · Cited by 28
Ecological resilience in tropical Andean lakes: A paleolimnological perspective
Benito, X., Luethje, M., Schneider, T., Fritz, S. C., Baker, P. A., Pedersen, E. J., Gaüzère, P., Nascimento, M. N., Bush, M. B., & Ruhí, A. (2021) · Limnology and Oceanography · doi:10.1002/lno.11747 · Cited by 28
Environmental Determinism vs. Social Dynamics: Prehistorical and Historical Examples
Sargentis, G.-F., Koutsoyiannis, D., Angelakιs, A. N., Christy, J. R., & Tsonis, A. A. (2022) · World · doi:10.3390/world3020020 · Cited by 30
Gridded pollen-based Holocene regional plant cover in temperate and northern subtropical China suitable for climate modelling
Li, F., Gaillard, M., Cao, X., Herzschuh, U., Sugita, S., Ni, J., Zhao, Y., An, C., Huang, X., Li, Y., et al. (2023) · Earth system science data · doi:10.5194/essd-15-95-2023 · Cited by 28
The legacy of past human land use in current patterns of mammal distribution
Polaina, E., González‐Suárez, M., & Revilla, E. (2019) · Ecography · doi:10.1111/ecog.04406 · Cited by 26
Geography and availability of natural habitat determine whether cropland intensification or expansion is more detrimental to biodiversity
Ceaușu, S., Leclère, D., & Newbold, T. (2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02691-x · Cited by 30
Responses of global terrestrial water use efficiency to climate change and rising atmospheric CO2concentration in the twenty-first century
Pan, S., Chen, G., Ren, W., Dangal, S. R. S., Banger, K., Yang, J., Tao, B., & Tian, H. (2017) · International Journal of Digital Earth · doi:10.1080/17538947.2017.1337818 · Cited by 28
Reconstructing the spatial pattern of historical forest land in China in the past 300 years
Yang, X., Jin, X., Xiang, X., Fan, Y., Shan, W., & Zhou, Y. (2018) · Global and Planetary Change · doi:10.1016/j.gloplacha.2018.03.015 · Cited by 27
Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model
Ruijsch, J., Verstegen, J. A., Sutanudjaja, E. H., & Karssenberg, D. (2021) · Advances in Water Resources · doi:10.1016/j.advwatres.2021.104013 · Cited by 27
Anthropogenic impacts on Holocene fluvial dynamics in the Chinese Loess Plateau, an evaluation based on landscape evolution modeling
Chen, H., Wang, X., Lu, H., & van Balen, R. T. (2021) · Geomorphology · doi:10.1016/j.geomorph.2021.107935 · Cited by 29
The Interplay Between Bioenergy Grass Production and Water Resources in the United States of America
Song, Y., Cervarich, M. C., Jain, A. K., Kheshgi, H. S., Landuyt, W., & Cai, X. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b05239 · Cited by 26
Reconstructing past arboreal cover based on modern and fossil pollen data: A statistical approach for the Gredos Range (Central Spain)
Broothaerts, N., Robles‐López, S., Abel‐Schaad, D., Díaz, S. P., Alba‐Sánchez, F., Luelmo-Lautenschlaeger, R., Glais, A., & Sáez, J. A. L. (2018) · Review of Palaeobotany and Palynology · doi:10.1016/j.revpalbo.2018.04.007 · Cited by 27
Concluding Remarks: The Organic Anthropocene
Brooke, J. L., & Otter, C. (2016) · Eighteenth-Century Studies · doi:10.1353/ecs.2016.0010 · Cited by 26
Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels
Alton, P. B. (2020) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2020.108017 · Cited by 26
Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use
Rolinski, S., Prishchepov, A. V., Guggenberger, G., Bischoff, N., Kurganova, I. N., Schierhorn, F., Müller, D., & Müller, C. (2021) · Regional Environmental Change · doi:10.1007/s10113-021-01799-7 · Cited by 35
Global Rangeland Primary Production and Its Consumption by Livestock in 2000–2010
Wolf, J. E., Chen, M., & Asrar, G. (2021) · Remote Sensing · doi:10.3390/rs13173430 · Cited by 26
More than agriculture: Analysing time-cumulative human impact on European land-cover of second half of the Holocene
Zapolska, A., Serge, M. A., Mazier, F., Quiquet, A., Renssen, H., Vrac, M., Fyfe, R., & Roche, D. M. (2023) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2023.108227 · Cited by 27
The spatial and temporal change of cropland in the Scandinavian Peninsula during 1875–1999
Li, B., Jansson, U., Ye, Y., & Widgren, M. (2013) · Regional Environmental Change · doi:10.1007/s10113-013-0457-z · Cited by 28
Morphometric and genetic structure of the edible dormouse (Glis glis): a consequence of forest fragmentation in Turkey
Helvacı, Z., Renaud, S., Ledevin, R., Adriaens, D., MICHAUX, J. R., Çolak, R., Kankılıç, T., Kandemi̇r, İ., Yiğit, N., & Çolak, E. (2012) · Biological Journal of the Linnean Society · doi:10.1111/j.1095-8312.2012.01952.x · Cited by 26
Re-orienting technological development for a more sustainable human–environmental relationship
Wei, Y., Wu, S., & Tesemma, Z. K. (2018) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2018.05.022 · Cited by 25
Environmental factors drive language density more in food-producing than in hunter–gatherer populations
Derungs, C., Köhl, M., Weibel, R., & Bickel, B. (2018) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.2851 · Cited by 26
Mediterranean land use systems from prehistory to antiquity: a case study from Peloponnese (Greece)
Weiberg, E., Hughes, R., Finné, M., Bonnier, A., & Kaplan, J. (2019) · Journal of Land Use Science · doi:10.1080/1747423x.2019.1639836 · Cited by 25
Salinity Is a Key Determinant for the Microeukaryotic Community in Lake Ecosystems of the Inner Mongolia Plateau, China
Liu, C., Wu, F., Jiang, X., Hu, Y., Shao, K., Tang, X., Qin, B., & Gao, G. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.841686 · Cited by 25
Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models
Tompkins, A. M., & Caporaso, L. (2016) · Geospatial health · doi:10.4081/gh.2016.380 · Cited by 29
Inconsistent Responses of Hot Extremes to Historical Land Use and Cover Change Among the Selected CMIP5 Models
Li, X., Chen, H., Wei, J., Hua, W., Sun, S., Ma, H., Li, X., & Li, J. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd028161 · Cited by 25
Multiple trajectories of grassland fragmentation, degradation, and recovery in Russia's steppes
Prishchepov, A. V., Mjachina, K. V., Kamp, J., Smelansky, I. E., Dubrovskaya, S., Васильевич, Р. Р., Grudinin, D. A., Yakovlev, I. G., & Urazaliyev, R. (2021) · Land Degradation and Development · doi:10.1002/ldr.3976 · Cited by 25
Childhood mania: insights into diagnostic and treatment issues.
Wozniak, J. R., & Biederman, J. (1997) · PubMed · Cited by 24

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
DOI: 10.1111/j.1466-8238.2010.00587.x
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
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

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The HYDE 3.1 spatially explicit database of human‐induced global land‐use change over the past 12,000 years

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