The DOI matches its Crossref record; 66 of the 68 references it cites were found in a registry or an index.
Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
Open accessAbstract
Agricultural activities have dramatically altered our planet's land surface. To understand the extent and spatial distribution of these changes, we have developed a new global data set of croplands and pastures circa 2000 by combining agricultural inventory data and satellite‐derived land cover data. The agricultural inventory data, with much greater spatial detail than previously available, is used to train a land cover classification data set obtained by merging two different satellite‐derived products (Boston University's MODIS‐derived land cover product and the GLC2000 data set). Our data are presented at 5 min (∼10 km) spatial resolution in longitude by longitude, have greater accuracy than previously available, and for the first time include statistical confidence intervals on the estimates. According to the data, there were 15.0 (90% confidence range of 12.2–17.1) million km 2 of cropland (12% of the Earth's ice‐free land surface) and 28.0 (90% confidence range of 23.6–30.0) million km 2 of pasture (22%) in the year 2000.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The extent of permanent pastures and meadows, the key category for which global statistical data are available (http://faostat.fao.org;any grazing land used for more than five consecutive years), spans 28 (33) to 34 Mkm², including extensively used natural grasslands (Section 2.2), intensively managed pastures and meadows established in natural grassland areas, as well as grassland that was estab”
From Restoring Degraded Lands (2021) · cites this paper as [33]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Self-citationFreshwater 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
Forecasting Agriculturally Driven Global Environmental Change
Tilman, D., Fargione, J., Wolff, B., D'Antonio, C., Dobson, A., Howarth, R., Schindler, D., Schlesinger, W. H., Simberloff, D., & Swackhamer, D. (2001) · Science · doi:10.1126/science.1057544 · Cited by 3,992
Global land cover mapping from MODIS: algorithms and early results
Friedl, M. A., McIver, D. K., Hodges, J. C. F., Xiaoyang Zhang, A., Muchoney, D. M., Strahler, A. H., Woodcock, C. E., Gopal, S., Schneider, A., Cooper, A. B., et al. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00078-0 · Cited by 2,686
Ecosystems and human well-being: current state and trends
Hassan, R., Scholes, R. J., & Ash, N. (2005) · Cited by 2,582
Farming and the Fate of Wild Nature
Green, R. E., Cornell, S. J., Scharlemann, J. P. W., & Balmford, A. (2005) · Science · doi:10.1126/science.1106049 · Cited by 2,238
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
Self-citationMonfreda, C., Ramankutty, N., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002947 · Cited by 1,895
Self-citationGLC2000: a new approach to global land cover mapping from Earth observation data
claude, B. E. M., & Belward, A. S. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160412331291297 · Cited by 1,799
Modelling the role of agriculture for the 20th century global terrestrial carbon balance
Bondeau, A., Smith, P. L., Zaehle, S., Schaphoff, S., Lucht, W., Crämer, W., Gerten, D., Lotze‐Campen, H., Müller, C., Reichstein, M., et al. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2006.01305.x · Cited by 1,333
Research works printed but not linked: 9
- Central Bureau of Statistics, 2001, Statistical Year Book of Nepal 2001
- Crook F., 1993, China International Agriculture and Trade Report, 33
- Forestry Management, Evaluation and Coordinating Unit (FORMECU), 1995, An Assessment of Land Use and Vegetation Changes in Nigeria Between 1978–1993
- 10.1034/j.1600-0889.2003.01450.x · DOI
- Latham J., 2001, AFRICOVER eastern Africa, LUCC Newsl, 7, 15
- Lopez‐Meisel D., 1996, 1991 Census of Agriculture of the Philippines
- 10.1175/1520-0442-16.10.1511 · DOI
- National Statistical Office of Mongolia, 2004, Mongolia in a Market System Statistical Yearbook: 1989–2002
- State Committee of the Russian Federation on Statistics, 1995, Sel'skoe khoziaistvo Rossii: Statisticheskii sbornik
Cited by
Sorted by citations
Items 601–700 of 1,002
Hoell, A., Funk, C. C., & Barlow, M. A. (2014) · Journal of Climate · doi:10.1175/jcli-d-14-00344.1 · Cited by 54
Davis, K. F., & D’Odorico, P. (2015) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2015.08.126 · Cited by 55
Congreves, K. A., Brown, S. E., Németh, D. D., Dunfield, K. E., & Wagner‐Riddle, C. (2016) · GCB Bioenergy · doi:10.1111/gcbb.12354 · Cited by 60
“Regions across mid-latitude and cold climates contain the greatest extent of global agricultural land cover (Foley et al., 2005; Ramankutty et al., 2008), character- ized by long winters when the soil is frozen or snow-covered for 5–6 months of the year.”
BackgroundSouty, F., Brunelle, T., Dumas, P., Dorin, B., Ciais, P., Crassous, R., Müller, C., & Bondeau, A. (2012) · Geoscientific model development · doi:10.5194/gmd-5-1297-2012 · Cited by 54
Estes, L., Chen, P., Debats, S., Evans, T., Ferreira, S., Kuemmerle, T., Ragazzo, G., Sheffield, J., Wolf, A., Wood, E., et al. (2018) · Global Change Biology · doi:10.1111/gcb.13904 · Cited by 60
“Of particular note is that harvested area maps are subject527 not only to this statistical constraint (that pixel-wise harvested area fractions sum to district to-528 tals), but cropland fractions are also adjusted to match district-level cropland area estimates (see529 Methods; Ramankutty et al., 2008).”
BackgroundMethodInfluentialFrei, B., Renard, D., Mitchell, M. G. E., Seufert, V., Chaplin‐Kramer, R., Rhemtulla, J. M., & Bennett, E. M. (2018) · Journal of Applied Ecology · doi:10.1111/1365-2664.13191 · Cited by 56
Rural-urban connectivity and agricultural land management across the Global South
Boudet, F., MacDonald, G. K., Robinson, B. E., & Samberg, L. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.101982 · Cited by 59
A process‐based investigation into the impact of the Congo basin deforestation on surface climate
Bell, J. P., Tompkins, A. M., Biona, C. B., & Sanda, I. S. (2015) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd022586 · Cited by 54
Taylor, L. L., Beerling, D. J., Quegan, S., & Banwart, S. A. (2017) · Biology Letters · doi:10.1098/rsbl.2016.0868 · Cited by 55
Toads phenotypically adjust their chemical defences to anthropogenic habitat change
Bókony, V., Üveges, B., Verebélyi, V., Ujhegyi, N., & Móricz, Á. (2019) · Scientific Reports · doi:10.1038/s41598-019-39587-3 · Cited by 44
Smil, V. (2021) · doi:10.1093/oso/9780190060664.001.0001 · Cited by 59
Salazar, D. F. U., Vaudour, E., Richer-De-Forges, A. C., Chen, S., Martelet, G., Baghdadi, N. N., & Arrouays, D. (2023) · Remote Sensing · doi:10.3390/rs15092410 · Cited by 54
Berg, A. R., Heald, C. L., Hartz, K. E. H., Hallar, A. G., Meddens, A. J. H., Hicke, J. A., Lamarque, J., & Tilmes, S. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-13-3149-2013 · Cited by 52
The basic characteristics and spatial patterns of global cultivated land change since the 1980s
Yao, Z., Zhang, L., Tang, S., Li, X., & Hao, T. (2017) · Journal of Geographical Sciences · doi:10.1007/s11442-017-1405-5 · Cited by 51
“The larger proportion of croplands was found in South and Southeast Asia, Europe, and the eastern part of the Mississippi River basin in the United States, while a smaller proportion of croplands was found in Canada and the northern part of South America (Ramankutty et al., 2008).”
BackgroundThe overlooked spatial dimension of climate‐smart agriculture
Prestele, R., & Verburg, P. H. (2019) · Global Change Biology · doi:10.1111/gcb.14940 · Cited by 52
Climate Change, Agriculture and Food Security
Yadav, S. S., Hegde, V. S., Habibi, A. B., Dia, M., & Verma, S. (2018) · doi:10.1002/9781119180661.ch1 · Cited by 53
Predicting pan-tropical climate change induced forest stock gains and losses – implications for REDD
Gumpenberger, M., Vohland, K., Heyder, U., Poulter, B., Macey, K., Rammig, A., Popp, A., & Cramer, W. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/1/014013 · Cited by 51
Ganjurjav, H., Gornish, E. S., Hu, G., Wu, J., Wan, Y., Li, Y., & Gao, Q. (2020) · Journal of Ecology · doi:10.1111/1365-2745.13531 · Cited by 51
“Grasslands cover 30%–40% of the earth's terrestrial surface (Ramankutty et al., 2008) and provide a variety of ecological goods and services (Havstad et al., 2007).”
BackgroundUtilities of Artificial Intelligence in Poverty Prediction: A Review
Usmanova, A., Aziz, A., Rakhmonov, D. A., & Osamy, W. (2022) · Sustainability · doi:10.3390/su142114238 · Cited by 51
Rurbanity: a concept for the interdisciplinary study of rural–urban transformation
Hoffmann, E. M., Schareika, N., Dittrich, C., Schlecht, E., Sauer, D., & Buerkert, A. (2023) · Sustainability Science · doi:10.1007/s11625-023-01331-2 · Cited by 69
Wolf, B., Chen, W., Brüggemann, N., Zheng, X., Pumpanen, J., & Butterbach‐Bahl, K. (2010) · Journal of Plant Nutrition and Soil Science · doi:10.1002/jpln.201000150 · Cited by 51
Henderson, A. E., Reed, M. G., & Davis, S. K. (2014) · Human Dimensions of Wildlife · doi:10.1080/10871209.2013.819595 · Cited by 51
Houspanossian, J., Giménez, R., Jobbagy, E. G., & Nosetto, M. D. (2016) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2016.08.015 · Cited by 50
Boyer, D., & Ramaswami, A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b03176 · Cited by 51
Changes in soil phosphorus pool induced by pastureland intensification and diversification in Brazil
Damian, J. M., Firmano, R. F., Cherubin, M. R., Pavinato, P. S., Soares, T. D. M., Paustian, K. H., & Cerri, C. E. P. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135463 · Cited by 55
Protein-rich legume and pseudo-cereal crop suitability under present and future European climates
Manners, R., Varela‐Ortega, C., & van Etten, J. (2019) · European Journal of Agronomy · doi:10.1016/j.eja.2019.125974 · Cited by 50
Desing, H., Widmer, R., Beloin‐Saint‐Pierre, D., Hischier, R., & Wäger, P. A. (2019) · Energies · doi:10.3390/en12244723 · Cited by 49
Wallin, M. B., Audet, J., Peacock, M., Sahlée, E., & Winterdahl, M. (2020) · Biogeosciences · doi:10.5194/bg-17-2487-2020 · Cited by 49
Virtual water trade and development in Africa
Konar, M., & Caylor, K. K. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-3969-2013 · Cited by 50
Mekuria, W., & Noble, A. (2013) · Applied and Environmental Soil Science · doi:10.1155/2013/354965 · Cited by 49
Baeza, S., & Paruelo, J. M. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.07.014 · Cited by 55
Societal breakdown as an emergent property of large-scale behavioural models of land use change
Brown, C., Seo, B., & Rounsevell, M. (2019) · Earth System Dynamics · doi:10.5194/esd-10-809-2019 · Cited by 50
Consistent cooling benefits of silvopasture in the tropics
Zeppetello, L. R. V., Cook‐Patton, S. C., Parsons, L. A., Wolff, N. H., Kroeger, T., Battisti, D. S., Bettles, J., Spector, J. T., Balakumar, A., & Masuda, Y. J. (2022) · Nature Communications · doi:10.1038/s41467-022-28388-4 · Cited by 54
A platform for crowdsourcing the creation of representative, accurate landcover maps
Estes, L., McRitchie, D., Choi, J., Debats, S., Evans, T., Guthe, W., Luo, D., Ragazzo, G., Zempleni, R., & Caylor, K. K. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.01.011 · Cited by 54
Wedow, J. M., Yendrek, C. R., Mello, T. R. P., Creste, S., Martínez, C. A., & Ainsworth, E. A. (2019) · Metabolomics · doi:10.1007/s11306-019-1511-8 · Cited by 49
Hurst, Z. M., McCleery, R. A., Collier, B. A., Fletcher, R. J., Silvy, N. J., Taylor, P. J., & Monadjem, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074520 · Cited by 49
Li, Z., Liu, S., Tan, Z., Bliss, N. B., Young, C. J., West, T. O., & Ogle, S. M. (2014) · Ecological Modelling · doi:10.1016/j.ecolmodel.2014.01.012 · Cited by 49
Global agronomy, a new field of research. A review
Makowski, D., Nesme, T., Papy, F., & Doré, T. (2013) · Agronomy for Sustainable Development · doi:10.1007/s13593-013-0179-0 · Cited by 50
Anthropogenic land cover changes in a GCM with surface albedo changes based on MODIS data
Kvalevåg, M. M., Myhre, G., Bonan, G. B., & Levis, S. (2009) · International Journal of Climatology · doi:10.1002/joc.2012 · Cited by 49
Johnston, M., Licker, R., Foley, J. A., Holloway, T., Mueller, N. D., Barford, C. C., & Kucharik, C. J. (2011) · Environmental Research Letters · doi:10.1088/1748-9326/6/3/034028 · Cited by 49
Self-citationRuane, A., Teichmann, C., Arnell, N., Carter, T. R., Ebi, K., Frieler, K., Goodess, C., Hewitson, B., Horton, R., Kovats, R., et al. (2016) · Geoscientific model development · doi:10.5194/gmd-9-3493-2016 · Cited by 46
Zhu, L., Radeloff, V. C., & Ives, A. R. (2017) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2017.01.012 · Cited by 49
In-Field Habitat Management to Optimize Pest Control of Novel Soil Communities in Agroecosystems
Pearsons, K. A., & Tooker, J. F. (2017) · Insects · doi:10.3390/insects8030082 · Cited by 50
“Because agronomic soils account for 40% of land area, it is unsustainable to assume the remaining 60% of land can overprovide necessary biogeochemical services [32]; thus, it is necessary to optimize the services provided by the novel soil communities in agronomic soils.”
BackgroundMayer, M., Ullmann, W., Sunde, P., Fischer, C., & Blaum, N. (2018) · Ecology and Evolution · doi:10.1002/ece3.4613 · Cited by 52
Feng, S., & Hao, Z. (2021) · Atmospheric Research · doi:10.1016/j.atmosres.2021.105695 · Cited by 52
Land-use intensity mediates ecosystem service tradeoffs across regional social-ecological systems
Qiu, J., Queiroz, C., Bennett, E. M., Cord, A. F., Crouzat, É., Lavorel, S., Maes, J., Meacham, M., Norström, A. V., Peterson, G., et al. (2021) · Ecosystems and People · doi:10.1080/26395916.2021.1925743 · Cited by 48
“Humans have long managed our landscapes to produce desirable goods and services, such as food, fiber and timber products, to fulfil basic material needs (Imhoff et al. 2004; Ramankutty et al. 2008; Seppelt et al. 2014).”
BackgroundSpiker, M. L., Reinhardt, S., & Bruening, M. M. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2020.05.010 · Cited by 55
Long-term annual soil nitrogen surplus across Europe (1850–2019)
Batool, M., Sarrazin, F., Attinger, S., Basu, N., Meter, K. V. V., & Kumar, R. (2022) · Scientific Data · doi:10.1038/s41597-022-01693-9 · Cited by 46
1.5°C Hotspots: Climate Hazards, Vulnerabilities, and Impacts
Schleussner, C.-F., Deryng, D., D'haen, S., Hare, W., Lissner, T., Ly, M., Nauels, A., Noblet, M., Pfleiderer, P., Pringle, P., et al. (2018) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-102017-025835 · Cited by 45
Mapping global cropping system: challenges, opportunities and future perspectives
You, L., & Sun, Z.-L. (2022) · Crop and Environment · doi:10.1016/j.crope.2022.03.006 · Cited by 44
Achieving good environmental status in the Black Sea: scale mismatches in environmental management
O’Higgins, T., Farmer, A., Daskalov, G. M., Knudsen, S., & Mee, L. (2014) · Ecology and Society · doi:10.5751/es-06707-190354 · Cited by 48
Xu, Y., Yu, L., Zhao, Y., Feng, D., Cheng, Y., Cai, X., & Gong, P. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1323285 · Cited by 48
“It is also believed that there is great uncertainty among the global cropland products, estimated to be between 1.11 and 3.62 Bha (Ramankutty et al. 2008).”
BackgroundInfluentialQuantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau
Ma, Q., Chai, L., Hou, F., Chang, S., Ma, Y., Tsunekawa, A., & Cheng, Y. (2019) · Sustainability · doi:10.3390/su11020417 · Cited by 48
Hanasaki, N., Matsuda, H., Fujiwara, M., Hirabayashi, Y., Seto, S., Kanae, S., & Oki, T. (2022) · Hydrology and earth system sciences · doi:10.5194/hess-26-1953-2022 · Cited by 51
Soil nutrients increase long‐term soil carbon gains threefold on retired farmland
Seabloom, E. W., Borer, E. T., Hobbie, S. E., & MacDougall, A. S. (2021) · Global Change Biology · doi:10.1111/gcb.15778 · Cited by 49
“Approximately 20% of Earth's grasslands have been converted to cultivated crops (Ramankutty et al., 2008), and these agricultural lands are often highly depleted in soil carbon (C) as a result of longterm tillage, with C levels 20%– 30% lower than native grasslands (Lal, 2002; Le Quere et al.,…”
BackgroundHow does bioenergy compare with other land-based renewable energy sources globally?
Pogson, M., Hastings, A., & Smith, P. (2012) · GCB Bioenergy · doi:10.1111/gcbb.12013 · Cited by 48
Asgarian, A., Soffianian, A., Pourmanafi, S., & Bodaghabadi, M. B. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.07.023 · Cited by 47
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
“Furthermore, the FAO dataset is characterized by considerable inconsistencies (see Erb et al 2007, 2016b, Ramankutty et al 2008, Fetzel et al 2017b).”
MethodPérez-Hoyos, A., Udías, Á., & Rembold, F. (2020) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2020.102064 · Cited by 47
Aridity trends in the Middle East and adjacent areas
Sahour, H., Vazifedan, M., & Alshehri, F. (2020) · Theoretical and Applied Climatology · doi:10.1007/s00704-020-03370-6 · Cited by 47
Global extent and change in human modification of terrestrial ecosystems from 1990 to 2022
Theobald, D. M., Oakleaf, J. R., Moncrieff, G. R., Voigt, M., Kiesecker, J., & Kennedy, C. M. (2025) · Scientific Data · doi:10.1038/s41597-025-04892-2 · Cited by 59
“Also, some threats may be removed that are less relevant to movement, such as air pollution, or ones with base data layers that cause artificial or abrupt differences in connectivity modeling outputs such as pasture maps with sharply contrasting values at administrative boundaries 19 .”
InfluentialKuipers, K., May, R. F., & Verones, F. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149737 · Cited by 47
Scaling smallholder tree cover restoration across the tropics
Shyamsundar, P., Cohen, F., Boucher, T. M., Kroeger, T., Erbaugh, J. T., Waterfield, G., Clarke, C., Cook‐Patton, S. C., Garcia, É., Juma, K. N., et al. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102591 · Cited by 53
Biofuels – for better or worse?
Walker, D. A. (2010) · Annals of Applied Biology · doi:10.1111/j.1744-7348.2010.00404.x · Cited by 46
Núñez, M., Pfister, S., Roux, P., & Antón, A. (2013) · Environmental Science & Technology · doi:10.1021/es403159t · Cited by 46
Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000-2012
Conrad, C., Schönbrodt-Stitt, S., Löw, F., Sorokin, D., & Paeth, H. (2016) · Remote Sensing · doi:10.3390/rs8080630 · Cited by 46
“, [21,24,25]) in their studies on global and continental CI.”
BackgroundKnapp, S., Schweiger, O., Kraberg, A. C., Asmus, H., Asmus, R. M., Brey, T., Frickenhaus, S., Gutt, J., Kühn, I., Liess, M., et al. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.09.002 · Cited by 46
Neigh, C. S. R., Carroll, M., Wooten, M., McCarty, J. L., Powell, B., Husak, G. J., Enenkel, M., & Hain, C. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.04.025 · Cited by 46
Detected global agricultural greening from satellite data
Gao, X., Liang, S., & He, B. (2019) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2019.107652 · Cited by 50
Wang, L., Tai, A. P. K., Tam, C., Sadiq, M., Wang, P., & Cheung, K. K. W. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-11349-2020 · Cited by 50
Food security assessment in rural areas: evidence from Iran
Dehrashid, A. A., Bijani, M., Valizadeh, N., Dehrashid, H. A., Nasrollahizadeh, B., & Mohammadi, A. (2021) · Agriculture & Food Security · doi:10.1186/s40066-021-00291-z · Cited by 46
Estimating Global Impacts to Agriculture from Climate Change Accounting for AdaptationPreprint
Hultgren, A., Carleton, T. A., Delgado, M., Gergel, D. R., Greenstone, M., Houser, T., Hsiang, S., Jina, A., Kopp, R. E., Malevich, S. B., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4222020 · Cited by 46
Individual US diets show wide variation in water scarcity footprints
Heller, M. C., Willits-Smith, A. M., Mahon, T., Keoleian, G. A., & Rose, D. D. (2021) · Nature Food · doi:10.1038/s43016-021-00256-2 · Cited by 47
Wang, J., & Dai, C. (2022) · Foods · doi:10.3390/foods11213494 · Cited by 45
Global gradients in the distribution of animal polyploids
David, K. T. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214070119 · Cited by 45
“For this hypothesis, I utilized the human footprint index provided by Sanderson et al. (82), as well as agricultural land use datasets from NASA’s Socioeconomic Data and Applications Center (83).”
Reader, M. O., Eppinga, M. B., de Boer, H. J., Damm, A., Petchey, O. L., & Santos, M. J. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102612 · Cited by 52
Changes in soil microbial diversity under present land degradation scenario
Dixit, M., Ghoshal, D., Meena, A. L., Ghasal, P. C., Rai, A. K., Choudhary, J., & Dutta, D. (2024) · Total Environment Advances · doi:10.1016/j.teadva.2024.200104 · Cited by 46
Diaconescu, E., Gachon, P., Laprise, R., & Scinocca, J. (2016) · ATMOSPHERE-OCEAN · doi:10.1080/07055900.2016.1185005 · Cited by 38
Mitchell, M. G. E., Bennett, E. M., Gonzalez, A., Lechowicz, M. J., Rhemtulla, J. M., Cardille, J. A., Vanderheyden, K., Poirier-Ghys, G., Renard, D., Delmotte, S., et al. (2015) · Ecology and Society · doi:10.5751/es-07927-200415 · Cited by 50
Boone, A. A., Xue, Y., de Sales, F., Comer, R. E., Hagos, S., Mahanama, S., Schiro, K. A., Song, G., Wang, G., Li, S.-J., et al. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3252-y · Cited by 45
“It was developed for CLM by Lawrence and Chase (2007) and it uses MODIS-based data for trees, and IGBP data for shrubs and grasses, and data from Ramankutty et al. (2008) for crops.”
MethodModeling large-scale human alteration of land surface hydrology and climate
POKHREL, Y. N., Felfelani, F., Shin, S., YAMADA, T. J., & Satoh, Y. (2017) · Geoscience Letters · doi:10.1186/s40562-017-0076-5 · Cited by 48
Xie, H., & Ringler, C. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa8148 · Cited by 39
“The fertilizer use data developed byMueller et al (2012) provide crop-specific estimates of N and P fertilizer application rates, whose development is based on Ramankutty et al (2008) and Monfreda et al (2008) M3 global cropland and pasture land data.”
MethodVeach, V., Moilanen, A., & Minin, E. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188397 · Cited by 48
Modeling the spatial distribution of grazing intensity in Kazakhstan
Hankerson, B., Schierhorn, F., Prishchepov, A. V., Dong, C., Eisfelder, C., & Müller, D. (2019) · PLoS ONE · doi:10.1371/journal.pone.0210051 · Cited by 45
Change, I. P. O. C. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009157988.005 · Cited by 65
A hybrid model to predict nitrogen concentration in heterogeneous grassland using field spectroscopy
Dehghan-Shoar, M. H., Orsi, A. A., Pullanagari, R. R., & Yule, I. J. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2022.113385 · Cited by 45
Remote sensing technology and land use analysis in food security assessment
Brown, M. E. (2016) · Journal of Land Use Science · doi:10.1080/1747423x.2016.1195455 · Cited by 44
Meissle, M., Álvarez‐Alfageme, F., Malone, L. A., & Romeis, J. (2012) · EFSA Supporting Publications · doi:10.2903/sp.efsa.2012.en-334 · Cited by 44
Rahmann, G., Grimm, D., Kuenz, A., & Hessel, E. F. (2019) · Organic Agriculture · doi:10.1007/s13165-019-00247-5 · Cited by 45
Carino, S., McCartan, J., & Barbour, L. R. (2019) · Journal of Hunger & Environmental Nutrition · doi:10.1080/19320248.2019.1583621 · Cited by 44
Recent Patterns in Maize Yield and Harvest Area across Africa
Epule, T. E., Chehbouni, A., & Dhiba, D. (2022) · Agronomy · doi:10.3390/agronomy12020374 · Cited by 36
Kazemi, F., & Hosseinpour, N. (2022) · Land Use Policy · doi:10.1016/j.landusepol.2022.106426 · Cited by 44
Interdisciplinary progress in food production, food security and environment research
Acevedo, M. F. (2011) · Environmental Conservation · doi:10.1017/s0376892911000257 · Cited by 45
Biofuels for all? Understanding the Global Impacts of Multinational Mandates
Hertel, T. W., Tyner, W., & Birur, D. (2008) · GTAP working paper series · doi:10.21642/gtap.wp51 · Cited by 44
Parente, L., Sloat, L., Mesquita, V. V., Consoli, D., Stanimirova, R., Tomislav Hengl, A., Bonannella, C., Teles, N. M., Wheeler, I., Hunter, M. O., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-04139-6 · Cited by 58
“9 ; when looking more closely, it seems that the previous products miss some smaller patches where we are certain they can be classified as pastures, but were probably difficult to distinguish from other cropland similar to them or were just too small for resolution of 1 km.”
InfluentialLin, H., Yufang Jin, A., Giglio, L., Foley, J. A., & Randerson, J. T. (2012) · Ecological Applications · doi:10.1890/10-2362.1 · Cited by 43
Self-citationFeinberg, A. I., Moustapha, M., Stenke, A., Sudret, B., Peter, T., & Winkel, L. H. E. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-1363-2020 · Cited by 42
Leung, F., Sitch, S., Tai, A. P. K., Wiltshire, A., Gornall, J., Folberth, G., & Unger, N. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac7246 · Cited by 33
Vanham, D., Brückner, M., Schwarzmueller, F., Schyns, J. F., & Kästner, T. (2023) · Nature Food · doi:10.1038/s43016-023-00797-8 · Cited by 48
Grazing reverses climate-induced soil carbon gains on the Tibetan Plateau
Ren, S., Wang, T., Ji, X., Wei, L., Wei, J., Cao, Y., & Ding, J. (2025) · Nature Communications · doi:10.1038/s41467-025-62332-6 · Cited by 50
“In this framework, net primary productivity (NPP) derived from ESMs was used as a model input, while the output - soil carbon turnover time - was adjusted based on projected climate changes.”
Metadata
- Authors
- Ramankutty, N., Evan, A. T., Monfreda, C., & Foley, J. A.
- Affiliations
- McGill University (CA)
- University of Wisconsin–Madison (US)
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-01-17
- Volume
- 22
- Issue
- 1
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W1838764073
- Cited by
- 1,942
- References
- 68
- Citations by year
- 2026: 55 · 2025: 79 · 2024: 142 · 2023: 123 · 2022: 119 · 2021: 173 · 2020: 149 · 2019: 141 · 2018: 142 · 2017: 119 · 2016: 145 · 2015: 86 · 2014: 104 · 2013: 87 · 2012: 88
- FWCI
- 55.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Global Biogeochemical Cycles (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- Wageningen University and Research
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Social Sciences › Development › Agriculture, Land Use, Rural Development
- Keywords
- cropland extent, land cover classification, MODIS land cover, GLC2000, land surface change, confidence intervals
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
