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 801–900 of 1,002
Grassland Soil Organic Carbon Stocks: Status, Opportunities, Vulnerability
Conant, R. T. (2012) · Springer eBooks · doi:10.1007/978-94-007-4159-1_13 · Cited by 36
Flowering Plants in the Anthropocene: A Political Agenda
Negrutiu, I., Frohlich, M. W., & Hamant, O. (2020) · Trends in Plant Science · doi:10.1016/j.tplants.2019.12.008 · Cited by 34
Liu, H., Liu, S., Wang, F., Liu, Y., Han, Z., Wang, Q., Yu, L., Dong, Y., & Sun, J. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136448 · Cited by 33
Yu, M., Hao, Z., Zhang, Y., & Feng, S. (2023) · Atmospheric Research · doi:10.1016/j.atmosres.2023.107009 · Cited by 34
Meijaard, E., Virah‐Sawmy, M., Newing, H., Ingram, V. J., Holle, M. J. M., Pasmans, T., Omar, S., van den Hombergh, H., Unus, N., Fosch, A., et al. (2024) · doi:10.2305/kfja1910 · Cited by 41
Trends in habitat quality and habitat degradation in terrestrial protected areas
Zhao, J., Yu, L., Newbold, T., & Chen, X. (2024) · Conservation Biology · doi:10.1111/cobi.14348 · Cited by 35
“Agricultural expansion, which is the most common form of LULC change (IPBES, 2019), has greatly transformed natural vegetation worldwide (Ramankutty et al., 2008).”
Wilhelm, M., Davin, É. L., & Seneviratne, S. I. (2015) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd022293 · Cited by 37
The Impact of Globalization on Food and Agriculture: The Case of the Diet Convergence
Brunelle, T., Dumas, P., & Souty, F. (2014) · The Journal of Environment & Development · doi:10.1177/1070496513516467 · Cited by 34
Do Regional Aerosols Contribute to the Riverine Export of Dissolved Black Carbon?
Jones, M. W., Quine, T. A., de Rezende, C. E., Dittmar, T., Johnson, B. T. T., Manecki, M., Marques, J. S. J., & Aragão, L. E. O. C. (2017) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2017jg004126 · Cited by 33
“…information (Akagi et al., 2010; Amann et al., 2011; Boschetti et al., 2009; Draxler, 1997; National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce, 2009; Olson et al., 2001; Ramankutty et al., 2008; Textor et al., 2006; van Leeuwen et al., 2014).”
BackgroundMethodClimate change favors rice production at higher elevations in Colombia
Castro-Llanos, F., Hyman, G. G., Rubiano, J. E., Ramírez-Villegas, J., & Achicanoy, H. (2019) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-019-09852-x · Cited by 33
“A global crop production grid forms the basis for the data, available from the Earth Stat website (Ramankutty et al. 2008; http://www.earthstat.org/data-download).”
Pei, W., Xu, L., Pan, X., Hu, Q., Li, Q., Zhang, X., Shao, C., Wang, C., & Wang, X. (2019) · CATENA · doi:10.1016/j.catena.2019.104298 · Cited by 33
Li, M., Li, T., Zhu, L., Meadows, M. E., Zhu, W., & Zhang, S. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.652933 · Cited by 36
“…of gully erosion over time using remote sensing images, aerial photographs and GIS technology at relatively large spatial and temporal scales (Rysin et al., 2017) and dynamic monitoring of largescale (large area, long-term) and small-scale (small area, shortterm) gullies using multi-source,…”
MethodCassin‐Sackett, L., Cross, T. B., Jones, R. T., Johnson, W. C., Ballare, K. M., Ray, C., Collinge, S. K., & Martin, A. P. (2011) · Conservation Genetics · doi:10.1007/s10592-011-0293-y · Cited by 34
Observed trends in Earth System behavior
Steffen, W. (2010) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.36 · Cited by 33
Cold Season Southwest Asia Precipitation Sensitivity to El Niño–Southern Oscillation Events
Hoell, A., Barlow, M., Xu, T., & Zhang, T. (2018) · Journal of Climate · doi:10.1175/jcli-d-17-0456.1 · Cited by 36
“…an assessment of southwest Asia precipitation predictability because the failure or extreme excess of precipitation during the wet season severely impacts the region’s water resources and the rain-fed farming uponwhich the people of the region rely (e.g., Ramankutty et al. 2008; Ryan et al. 2012).”
BackgroundExploring sustainable aquaculture development using a nutrition-sensitive approach
Shepon, A., Gephart, J. A., Golden, C. D. W., Henriksson, P. J. G., Jones, R. C., Koehn, J. Z., & Eshel, G. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102285 · Cited by 32
Herbivore exclusion stabilizes alpine grassland biomass production across spatial scales
Zhu, J., Zhang, Y., Wu, J., Zhang, X., Yu, G., Shen, Z., Yang, X., He, Y., Jiang, L., & Hautier, Y. (2024) · Global Change Biology · doi:10.1111/gcb.17155 · Cited by 32
“Grasslands cover a significant portion of the Earth's terrestrial surface (Ramankutty et al., 2008 ) and provide essential functions and services for human societies (Cardinale et al., 2012; Herrero et al., 2013 ).”
Larger nations benefit more than smaller nations from the stabilizing effects of crop diversity
Meng, B., Yang, Q., Mehrabi, Z., & Wang, S. (2024) · Nature Food · doi:10.1038/s43016-024-00992-1 · Cited by 39
Hamed, Y., Ayadi, Y., Khalil, R., Al-Omran, A. M., Lebdi, F., & Dhaouadi, L. (2024) · Journal of the Saudi Society of Agricultural Sciences · doi:10.1016/j.jssas.2024.08.003 · Cited by 32
“The increasing global population growth places immense pressure on agriculture to meet escalating food demands (Foley et al., 2005; Ramankutty et al., 2008; Siebert et al., 2010).”
Sustainable high-yield farming is essential for bending the curve of biodiversity loss
Balmford, A. P., Bateman, I. J., Eyres, A., Swinfield, T., & Ball, T. (2025) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0216 · Cited by 32
“Farming already takes up roughly 50% of all habitable land [13–15] and is continuing to expand.”
How ecological feedbacks between human population and land cover influence sustainability
Henderson, K. A., & Loreau, M. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006389 · Cited by 32
Pixelating crop production: Consequences of methodological choices
Joglekar, A., Wood-Sichra, U., & Pardey, P. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212281 · Cited by 20
Farm Size, Technology Adoption and Agricultural Trade Reform: Evidence from Canada
Brown, W. M., Ferguson, S., & Viju‐Miljusevic, C. (2020) · Journal of Agricultural Economics · doi:10.1111/1477-9552.12372 · Cited by 38
“12We restrict the grid points to only those where crops are actually grown, using satellite data from Ramankutty et al. (2008).”
BackgroundMethodHalperin, S., Castro, A. A., Quintas‐Soriano, C., & Brandt, J. S. (2022) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2023.108435 · Cited by 36
Introduction to Edible Insects
Dunkel, F. V., & Payne, C. L. R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802856-8.00001-6 · Cited by 37
Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020
Qin, X., Wu, B.-F., Zeng, H., Zhang, M., & Tian, F. (2024) · Scientific Data · doi:10.1038/s41597-024-04248-2 · Cited by 38
“This may introduce uncertainties in the crop distribution for certain grids, consequently affecting our estimates of the harvested area and crop production 52 .”
Assessing temperature‐based adaptation limits to climate change of temperate perennial fruit crops
Meza, F., Darbyshire, R., Farrell, A., Lakso, A., Lawson, J., Meinke, H., Nelson, G. C., & Stöckle, C. (2023) · Global Change Biology · doi:10.1111/gcb.16601 · Cited by 31
“Recorded areas of cultivation for each crop for the early 21st century were compiled based on the FAO production areas averaged between 1997 and 2003 (Ramankutty et al., 2008).”
MethodScientific cognition and detection methods of modern human-earth system
Liu, Y., Liu, Y., & Ou, C. (2023) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2023-0379 · Cited by 31
Tan, J., Yang, P., Liu, Z., Wu, W., Zhang, L., Li, Z., You, L., Tang, H., & Li, Z. G. (2014) · Journal of Geographical Sciences · doi:10.1007/s11442-014-1096-0 · Cited by 31
More, R. S., Manjunath, K. R., Jain, N. K., Sushma Panigrahy, B., & Parihar, J. S. (2016) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2016.06.026 · Cited by 31
Luo, R., Hui, D., Miao, N., Liang, C., & Wells, N. (2017) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2016jg003722 · Cited by 33
“The data set is created by McGill University by combining agricultural inventory data and satellite-derived land cover data [Ramankutty et al., 2008].”
MethodSeo, H., & Kim, Y. (2019) · Geoscientific model development · doi:10.5194/gmd-12-457-2019 · Cited by 33
Increasing Concurrent Drought Probability in Global Main Crop Production Countries
Qi, W., Feng, L., Yang, H., & Liu, J. (2022) · Geophysical Research Letters · doi:10.1029/2021gl097060 · Cited by 36
Dependency of parameter values of a crop model on the spatial scale of simulation
Iizumi, T., Tanaka, Y., Sakurai, G., Ishigooka, Y., & Yokozawa, M. (2014) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2014ms000311 · Cited by 31
The Andes basins: biophysical and developmental diversity in a climate of change
Mulligan, M. P., Rubiano, J. E., Hyman, G. G., White, D. S., García, J., Saravia, M., Leon, J. G., Selvaraj, J. J., Guttierez, T., & Saenz-Cruz, L. L. (2010) · Water International · doi:10.1080/02508060.2010.516330 · Cited by 31
Global cropland monthly gross primary production in the year 2000
Chen, T., van der Werf, G. R., Gobron, N., Moors, E. J., & Dolman, A. J. (2014) · Biogeosciences · doi:10.5194/bg-11-3871-2014 · Cited by 31
Heller, E., Rhemtulla, J. M., Lélé, S. M., Kalácska, M., Badiger, S., Sengupta, R., & Ramankutty, N. (2012) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.78.8.815 · Cited by 31
Self-citationRótolo, G. C., Montico, S., Francis, C. A., & Ulgiati, S. (2015) · Agricultural Systems · doi:10.1016/j.agsy.2015.08.005 · Cited by 31
Sweeney, S. P., Ruseva, T. B., Estes, L. D., & Evans, T. P. (2015) · Remote Sensing · doi:10.3390/rs71115295 · Cited by 31
Better late than never: a synthesis of strategic land retirement and restoration in California
Lortie, C. J., Filazzola, A., Kelsey, R., Hart, A. K., & Butterfield, H. S. (2018) · Ecosphere · doi:10.1002/ecs2.2367 · Cited by 31
Land‐sharing potential of large carnivores in human‐modified landscapes of western India
Majgaonkar, I., Vaidyanathan, S., Srivathsa, A., Shivakumar, S., Limaye, S., & Athreya, V. (2019) · Conservation Science and Practice · doi:10.1111/csp2.34 · Cited by 32
The biophysical link between climate, water, and vegetation in bioenergy agro-ecosystems
Bagley, J. E., Davis, S. C., Georgescu, M., Hussain, M. Z., Miller, J. N., Nesbitt, S. W., VanLoocke, A. D., & Bernacchi, C. J. (2014) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2014.10.007 · Cited by 32
Tchuenté, A. T. K., de Jong, S. M., Roujean, J., Favier, C., & Méring, C. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.09.015 · Cited by 30
Distinct responses of antagonistic and mutualistic networks to agricultural intensification
Morrison, B. M. L., & Dirzo, R. (2020) · Ecology · doi:10.1002/ecy.3116 · Cited by 32
Mora, A. M., Marull, J., Tello, E., Cattaneo, C., Coll, F., Pons, M., Infante‐Amate, J., Urrego-Mesa, A., Fernández-Landa, A., & Vargas, M. (2021) · Regional Environmental Change · doi:10.1007/s10113-021-01767-1 · Cited by 36
“The world crop area reached 15 million km2 in 2000 (12% of terrestrial ice-free surface), and pastureland reached 28million km2 (20%; Ramankutty et al. 2008).”
BackgroundStewart, G. J., Nelson, B. S., Acton, W. J. F., Vaughan, A., Hopkins, J. R., Yunus, S. S. M., HEWITT, C. N., Wild, O., Nemitz, E., Gadi, R., et al. (2021) · Atmospheric Environment X · doi:10.1016/j.aeaoa.2021.100115 · Cited by 31
Impacts of management at a local and landscape scale on pollinators in semi‐natural grasslands
Larkin, M., & Stanley, D. A. (2021) · Journal of Applied Ecology · doi:10.1111/1365-2664.13990 · Cited by 30
“Approximately 40% of global terrestrial land surface is used for agriculture (Ramankutty et al., 2008), and thus, pollinator conserva - tion must occur in these areas with the added benefit of delivery of crop pollination services.”
Climate change and modernization drive structural realignments in European grain production
Pinke, Z., Decsi, B., Jámbor, A., Kardos, M. K., Kern, Z., Kozma, Z., & Ács, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-10670-6 · Cited by 34
The Global Land Squeeze: Managing the Growing Competition for Land
Searchinger, T., Peng, L., Zionts, J., & Waite, R. (2023) · doi:10.46830/wrirpt.20.00042 · Cited by 35
Saunders, W. C., & Fausch, K. D. (2012) · Freshwater Biology · doi:10.1111/j.1365-2427.2012.02804.x · Cited by 30
Henderson, A. E., & Davis, S. K. (2014) · Rangeland Ecology & Management · doi:10.2111/rem-d-12-00140.1 · Cited by 30
Esnault, L., Gleeson, T., Wada, Y., Heinke, J., Gerten, D., Flanary, E. A., Bierkens, M. F. P., & van Beek, R. (2014) · Water Resources Research · doi:10.1002/2013wr014792 · Cited by 30
Baxter, R. E., & Calvert, K. E. (2017) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1298985 · Cited by 32
“A map of cropland distribution as of 2000, based on the remote sensing–derived land cover classification from Ramankutty et al. (2008), is used to represent the spatial distribution of cropland, which is assumed to represent historical patterns as well.”
Canova, M. A., Lapola, D. M., Pinho, P. F., Dick, J., Patricio, G. B., & Priess, J. A. (2018) · Ecosystem Services · doi:10.1016/j.ecoser.2018.10.005 · Cited by 33
Global Agricultural Land Use Data for Climate Change Analysis
Monfreda, C., Ramankutty, N., & Hertel, T. W. (2008) · GTAP working paper series · doi:10.21642/gtap.wp40 · Cited by 31
Self-citationZhang, L., Wang, W., Ma, Q., Hu, Y., Ma, H., & Zhao, Y. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.108672 · Cited by 32
Nutrient recycling potential of excreta for global crop and grassland production
Devault, M., Woolf, D., & Lehmann, J. C. (2024) · Nature Sustainability · doi:10.1038/s41893-024-01467-8 · Cited by 32
Ferreira, A., Cyrino, J. E. P., Duarte‐Neto, P. J., & Martinelli, L. A. (2012) · Marine and Freshwater Research · doi:10.1071/mf12092 · Cited by 29
Geospatial knowledge-based verification and improvement of GlobeLand30
Zhang, W. W., Chen, J., Liao, A., Han, G., Chen, X., Chen, L., Shu, P., Wu, H., & Zhang, J. (2016) · Science China Earth Sciences · doi:10.1007/s11430-016-5318-4 · Cited by 29
“In addition, verification can be conducted with the help of land-cover related census data or inventory statistics, such as the global statistical data for forest, cultivated land and wetland (Ramankutty et al., 2008; Whigham, 2009).”
BackgroundHuang, Y., Hickman, J. E., & Wu, S. (2018) · Atmospheric Environment · doi:10.1016/j.atmosenv.2018.02.040 · Cited by 33
Trivellone, V., Wei, W., Filippin, L., & Dietrich, C. H. (2021) · Ecology and Evolution · doi:10.1002/ece3.7502 · Cited by 29
“…were intentionally obtained from natural areas or patches of native vegetation within more anthropogenic landscapes, we evaluated the land cover of a larger area including each sampling site using the raster layer Cropland and Pasture area (resolution 10 × 10 km; Ramankutty et al., 2008).”
MethodEcodesigning for ecological sustainability
Khan, N. H., Nafees, M., Rahman, A. U., & Saeed, T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90943-3.00019-5 · Cited by 34
Association between the socio-economic status of households and a more sustainable diet
Eini-Zinab, H., Shoaibinobarian, N., Ranjbar, G., Ostad, A. N., & Sobhani, S. R. (2021) · Public Health Nutrition · doi:10.1017/s136898002100402x · Cited by 29
Historic Changes in Terrestrial Carbon Storage
Houghton, R. A. (2012) · Springer eBooks · doi:10.1007/978-94-007-4159-1_4 · Cited by 29
Global Changes and Drivers of the Water Footprint of Food Consumption: A Historical Analysis
Yang, C., & Cui, X. (2014) · Water · doi:10.3390/w6051435 · Cited by 29
Chen, X., Lin, Y. Q., Zhang, M., Yu, L., Hao-chuan, L. I., & Bai, Y. (2017) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(16)61442-9 · Cited by 29
Friedl, M. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-409548-9.10379-3 · Cited by 29
Tobin, D., Jones, K., & Thiede, B. C. (2019) · Population and environment · doi:10.1007/s11111-019-00327-4 · Cited by 26
Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways
Das, S., & Jain, M. K. (2023) · CATENA · doi:10.1016/j.catena.2023.107417 · Cited by 28
Contribution of Mangrove Ecosystem Services to Local Livelihoods in the Indian Sundarbans
Sarkar, P. K., Banerjee, S., Biswas, S., Saha, S., Pal, D., Naskar, M. K., Srivastava, S. K., Barman, D., Kar, G., & Mukul, S. A. (2024) · Sustainability · doi:10.3390/su16166804 · Cited by 28
“With the advancement of civilization, humans have tried to rely on nature for the provision of goods like food, timber, fuel wood, fiber, etc. [14].”
BackgroundConservation of undisturbed natural forests and economic impacts on agriculture
Krause, M. M., Lotze‐Campen, H., Popp, A., Dietrich, J. P., & Bonsch, M. (2012) · Land Use Policy · doi:10.1016/j.landusepol.2012.03.020 · Cited by 35
Uncertainty of land surface model and land use data on WRF model simulations over China
Yan, Y., Tang, J., Wang, S., Niu, X., & Wang, L. (2021) · Climate Dynamics · doi:10.1007/s00382-021-05778-w · Cited by 30
Romaguera, M., Krol, M. S., Salama, M. S., Hoekstra, A. Y., & Su, Z. (2012) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.78.8.861 · Cited by 28
Bird communities in sun and shade coffee farms in Kenya
Smith, C., Barton, D. C., Johnson, M. D., Wendt, C., Milligan, M. C., Njoroge, P., & Gichuki, P. (2015) · Global Ecology and Conservation · doi:10.1016/j.gecco.2015.09.004 · Cited by 28
Role of Turbulent Heat Fluxes over Land in the Monsoon over East Asia
Lee, E., Barford, C. C., Kucharik, C. J., Felzer, B. S., & Foley, J. A. (2011) · International Journal of Geosciences · doi:10.4236/ijg.2011.24046 · Cited by 28
Self-citationChamberlain, S. D., Groffman, P. M., Boughton, E. H., Gomez‐Casanovas, N., DeLucia, E. H., Bernacchi, C. J., & Sparks, J. P. (2017) · Ecological Applications · doi:10.1002/eap.1514 · Cited by 28
“However, pastures are developed on all inhabited continents across a diversity of biomes (Ramankutty et al. 2008), so their GHG budgets are likely variable across climate and soil types.”
BackgroundInfluentialGiling, D. P., Grace, M., Thomson, J. R., Nally, R. M., & Thompson, R. M. (2013) · Ecosystems · doi:10.1007/s10021-013-9708-6 · Cited by 29
A Comparative Analysis of Global Cropping Systems Models and MapsPreprint
Anderson, W., You, L., Wood, S., Wood‐Sichra, U., & Wu, W. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2405699 · Cited by 28
Consistent ecosystem service bundles emerge across global mountain, island and delta systems
Reader, M. O., Eppinga, M. B., de Boer, H. J., Petchey, O. L., & Santos, M. J. (2024) · Ecosystem Services · doi:10.1016/j.ecoser.2023.101593 · Cited by 27
Ceaușu, S., Leclère, D., & Newbold, T. (2025) · Nature Ecology & Evolution · doi:10.1038/s41559-025-02691-x · Cited by 30
“The need for such a baseline is explained on lines 625 - 632.”
Water runoff and economic activity: The impact of water supply shocks on growth
Russ, J. D. (2020) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2020.102322 · Cited by 30
Notenbaert, A. M. O., Herrero, M., Groote, H. D., You, L., Gonzalez‐Estrada, E., & Blümmel, M. (2012) · Land Use Policy · doi:10.1016/j.landusepol.2012.06.016 · Cited by 27
Evaluating the dependence of vegetation on climate in an improved dynamic global vegetation model
Zeng, X. (2010) · Advances in Atmospheric Sciences · doi:10.1007/s00376-009-9186-0 · Cited by 27
What are the contemporary sources of sediment in the Mississippi River?
Hassan, M. A., Roberge, L., Church, M. A., More, M., Donner, S. D., Leach, J. A., & Ali, K. F. (2017) · Geophysical Research Letters · doi:10.1002/2017gl074046 · Cited by 26
Environmental Controls on the Riverine Export of Dissolved Black Carbon
Jones, M. W., Aragão, L. E. O. C., Dittmar, T., de Rezende, C. E., de Almeida, M. G., Johnson, B. T. T., Marques, J. S. J., Niggemann, J., Rangel, T. P., & Quine, T. A. (2019) · Global Biogeochemical Cycles · doi:10.1029/2018gb006140 · Cited by 30
“…model setup and interpolation procedure is provided in supporting information Text S4 (Akagi et al., 2010; Diehl et al., 2012; Granier et al., 2011; Jones et al., 2017; Lamarque et al., 2010; Olson et al., 2001; Ramankutty et al., 2008; van der Werf et al., 2010; van Leeuwen et al., 2014).”
MethodPartnering with cattle ranchers for forest landscape restoration
Calle, A. (2019) · AMBIO · doi:10.1007/s13280-019-01224-8 · Cited by 26
Disjointed Times in “Climate-Smart” Amazonia
Rojas, D. (2022) · Environmental Humanities · doi:10.1215/22011919-9712401 · Cited by 27
Including tropical croplands in a terrestrial biosphere model: application to West Africa
Berg, A., Sultan, B., & de Noblet‐Ducoudré, N. (2010) · Climatic Change · doi:10.1007/s10584-010-9874-x · Cited by 25
Analyzing Future Water Scarcity in Computable General Equilibrium Models
Liu, J., Hertel, T., & Taheripour, F. (2016) · Water Economics and Policy · doi:10.1142/s2382624x16500065 · Cited by 26
Awoye, H., Pollinger, F., Agbossou, E. K., & Paeth, H. (2016) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2016.12.010 · Cited by 27
Oliveira, J. D. C., Campbell, E. E., Lamparelli, R. A. C., Figueiredo, G. K. D. A., Soares, J. R., Jaiswal, D., Monteiro, L. A., Vianna, M. D. S., Lynd, L. R., & Sheehan, J. (2020) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2020.102205 · Cited by 26
Gonzalez, C. A., Bonet, C., de Pablo, M., Sánchez, M., Salamanca‐Fernández, E., Dorronsoro, M., Amiano, P., Huerta, J. M., Chirlaque, M. D., Ardanáz, E., et al. (2020) · European Journal of Public Health · doi:10.1093/eurpub/ckaa167 · Cited by 28
Li, F., Li, W., Li, F., Long, Y., Guo, S., Li, X., Lin, C., & Li, J. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2021.105983 · Cited by 26
Hirwa, H., Zhang, Q.-Y., Li, F.-D., Qiao, Y.-F., Measho, S., Muhirwa, F., Xu, N., Tian, C., Cheng, H.-F., Chen, G., et al. (2022) · Agronomy · doi:10.3390/agronomy12040818 · Cited by 24
A comparison of the herbicide tolerances of rare and common plants in an agricultural landscape
Egan, J. F., Graham, I., & Mortensen, D. A. (2014) · Environmental Toxicology and Chemistry · doi:10.1002/etc.2491 · Cited by 26
A history of ecological studies of birds in rice fields
Elphick, C. S. (2015) · Journal für Ornithologie · doi:10.1007/s10336-015-1194-5 · Cited by 26
Reducing emissions from deforestation and forest degradation implementation in northern Pakistan
Munawar, S., Khokhar, M. F., & Atif, S. (2015) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2015.02.027 · Cited by 26
The Impact of Climate, CO2 and Population on Regional Food and Water Resources in the 2050s
Wiltshire, A. J., Kay, G., Gornall, J. L., & Betts, R. (2013) · Sustainability · doi:10.3390/su5052129 · Cited by 27
Potential feedback of recent vegetation changes on summer rainfall in the Sahel
Lee, E., He, Y., Zhou, M., & Liang, J. (2015) · Physical Geography · doi:10.1080/02723646.2015.1120139 · Cited by 26
Umair, M., Kim, D., & Choi, M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.244 · Cited by 28
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