11. References - un-fao/gaezv5 GitHub Wiki
Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. 1998. Crop Evapotranspiration (guidelines for computing crop water requirements), Drainage and Irrigation Paper N 56. Rome, Italy, Food and Agriculture Organization of the United Nations.
Batjes, N.H., 2015. World soil property estimates for broad-scale modelling (WISE30sec), Report 2015/01. International Soil Reference and Information Centre (ISRIC).
BirdLife International. 2017. World Database of Key Biodiversity Areas [online]. [Cited 23 October 2017]. www.keybiodiversityareas.org
Boogaard, H., Schubert, J., De Wit, A., Lazebnik, J., Hutjes, R., Van der Grijn, G.v.d., 2020. Agrometeorological indicators from 1979 to present derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) 10 10.24381/cds.6c68c9bb.
Brammer, H., Antoine, J., Kassam, A.H. & van Velthuizen, H. 1988. Land Resources Appraisal of Bangladesh for Agricultural Development. Report 3, Land Resources Data Base, Volume II, Soil, Landform and Hydrological Data Base. http://www.fao.org/3/s7223e/s7223e.pdf
C3S, 2020. Agrometeorological indicators from 1979 to present derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Caglar, B., Becek, K., Mekik, C., Ozendi, M., 2018. On the vertical accuracy of the ALOS world 3D-30m digital elevation model. Remote Sensing Letters 9, 607-615
CEC. 1985. Explanatory text and map sheets of the 1: 1.000.000 soil map of the European Communities. Luxembourg, Directorate-General for Agriculture. Office for official publications of the European Communities.
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., 2015. Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing 103, 7-27 https://doi.org/10.1016/j.isprsjprs.2014.09.002.
Doorenbos, J. & Kassam, A.H. 1979. Yield response to water, Drainage and Irrigation Paper N 33. Rome, Italy, Food and Agriculture Organization of the United Nations. 203 pp.
Doorenbos, J. & Pruitt, W.O. 1977. Guidelines for predicting crop water requirements, FAO Irrigation and Drainage Paper N 24. FAO Irriga edition. Rome, Italy, Food and Agriculture Organization of the United Nations. 154 pp. (also available at http://www.fao.org/3/a-f2430e.Pdf).
EISD/SRI. 1999. Geo-spatial modeling for Agro-ecological Assessments and Decision Support for Development Planning; Land Suitability Analysis. Accra, Ghana.
FAO & Unesco. 1974. Soil Map of the World 1:5 Million Volume 1: Legend. Paris, France, The United Nations Educational, Scientific and Cultural Organization.
FAO & Unesco. undated. Soil Map of the World 1:5 Million. Volume I - X. Paris, France, The United Nations Educational, Scientific and Cultural Organization.
FAO, 2024. Land statistics 2001–2022 – Global, regional and country trends. , FAOSTAT Analytical Briefs, No. 88. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, p. 17.
FAO, Unesco & ISRIC. 1990. FAO/Unesco Soil Map of the World (Revised Legend). Reprint from FAO World Soil Resources Report nr 60. ISRIC Technical paper nr 20. Wageningen, The Netherlands, International Soil Reference and Information Centre.
FAO. 1976. A framework for land evaluation. FAO Soils edition. Rome, Italy, Food and Agriculture Organization of the United Nations. (also available at http://www.fao.org/3/x5310e/x5310e00.htm).
FAO. 1978. Report on the Agro-ecological Zones Project, Vol.4 Results for Southeast Asia. World Soil edition. Rome, Italy, Food and Agriculture Organization of the United Nations,. 74 pp. (also available at http://www.fao.org/3/a-bl893e.pdf).
FAO. 1980. Land Resources for Populations of the Future: Agro-climatic suitability classification for rain-fed crops: winter barley, upland rice, groundnut, sugar cane, banana/ plantain, and oil palm. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 1981. Report on the agro-ecological zones project (1978–1981), vol. 1: methodology and results for Africa, World soil resources report 48/1. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 1984. Land evaluation for development. Rome, Italy, Food and Agriculture Organization of the United Nations. (also available at http://www.fao.org/3/U1980E/u1980e00.htm).
FAO. 1985. Guidelines: Land evaluation for irrigated agriculture - FAO soils bulletin 55. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 1990. Guidelines for Soil Profile Description (3rd edition). Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 1993. Guidelines for land-use planning. FAO Develo edition. Rome, Italy, Food and Agriculture Organization of the United Nations. (also available at http://www.fao.org/3/t0715e/t0715e00.htm).
FAO. 1995. Digital Soil Map of the World. Land and Water Digital Media Series # 1. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 1996. Agro Ecological Zoning Guidelines. Rome, Italy. (also available at http://www.fao.org/3/W2962E/w2962e00.htm#P-2).
FAO. 2005. UN Land Cover Classification System (LCCS) – Classification concepts and user manual for Software version 2. Environmen edition. A. Di Gregorio & L.J.M. Jansen, eds. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO. 2007a. Land evaluation, Towards a revised framework. Land and W edition. Rome, Italy, Food and Agriculture Organization of the United Nations (FAO). 124 pp.
FAO. 2007b. The Global Administrative Unit Layers (GAUL), Technical Aspects. GAUL/Doc 01, ESCG. Rome, Italy. (also available at http://www.fao.org/geonetwork).
FAO. 2011. World map of the major hydrological basins [online].
FAO. 2015. The Global Administrative Unit Layers. GAUL Release 2015. List of data and documentation. Rome, Italy, Food and Agriculture Organization of the United Nations. (also available at https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/home).
FAO/IIASA. 2000. Global Agro-Ecological Zones (GAEZ v1.0). CD-ROM Land and Water Media Series. Rome, Italy, Food and Agriculture Organization of the United Nations.
FAO/IIASA, 2001. Global Agro-Ecological Zones. CD-ROM: Land and Water Media Series 11, in:FAO (Ed.), CD-ROM. Land and Water Media Series 11, FAO, Rome; Laxenburg, Austria.
FAO/IIASA, 2012. Global Agro-ecological Zones–Model Documentation (GAEZ v. 3.0).International Institute of Applied Systems Analysis & Food and Agricultural Organization, Laxenburg, Austria & Rome, Italy
FAO/IIASA, 2021. Global Agro-Ecological Zones (GAEZ v5) - Data Portal user’s guide. FAO, Rome, p. 40.
FAO/IIASA, 2023. Harmonized World Soil Database version 2.0. FAO, Rome, Italy; Laxenburg, IIASA, p. 69.
FAO/IIASA, 2024. SoilFER Geospatial Platform, available at https://data.apps.fao.org/soilfer/, in: FAO (Ed.), Rome, Italy.
FAO/UNDP. 1982. Assessment of land resources for rain-fed crop production in Mozambique: Agro-climatic and agro-edaphic suitability classification for rain-fed crop production. Rome, Italy, Food and Agriculture Organization of the United Nations, United Nations Development Programme. (also available at https://library.wur.nl/isric/fulltext/ISRIC_7159.pdf).
FAO/UNEP. 1977. Assessing Soil Degradation. FAO Soils Bulletin N 34. Rome, Italy, Food and Agriculture Organization of the United Nations.
Fischer, G., Nachtergaele, F., van Velthuizen, H., Chiozza, F., Franceschini, G., Henry, M., Mochoney, D., Tramberend, S., 2021. Global Agro-Ecological Zones (GAEZ v5) Model Documentation. FAO & IIASA, Rome, Laxenburg, p. 306.
Fischer, G., Nachtergaele, F.O., Prieler, S., Teixeira, E., Toth, G., van Velthuizen, H., Verelst, L. & Wiberg, D. 2012. Global Agro‐Ecological Zones (Model documentation). Laxenburg, Austria, Rome, Italy, International Institute for Applied Systems Analysis, Food and Agriculture Organization of the United Nations. (also available at http://pure.iiasa.ac.at/id/eprint/13290/).
Fischer, G., Reeler, J., Tramberend, S., van Velthuizen, H., 2024. Sustainable Aviation Biofuels for South America: A systems analysis investigation into opportunities for current and future sustainable biofuel feedstock product. IIASA, Laxenburg, Austria.
Fischer, G., Tramberend, S., van Velhuizen, H., Bole-Rentel, T., Reeler, J., 2019. Sustainable aviation biofuel potential in sub-Saharan Africa. A systems analysis investigation into the current and future potential for biofuel feedstock production. IIASA and WWF, p. 158.
Fischer, G., van Velthuizen, H., Shah, M. & Nachtergaele, F.O. 2002. Global Agro-Ecological Assessment for Agriculture in the 21st Century: Methodology and Results. IIASA RR-02-02. Laxenburg, Austria, International Institute for Applied Systems Analysis.
Fischer, G., van Velthuizen, H.T., Nachtergaele, F.O., 2000. Global agro-ecological zones assessment: methodology and results.
Geiger, R. 1954. Landolt-B ̈ornstein – Zahlenwerte und Funktionen aus Physik, Chemie, Astronomie, Geophysik und Technik. Ch. Klassifikation der Klimate nach W. K ̈oppen, pp. 603–607. Berlin, Springer.
Geiger, R. 1961. Uberarbeitete Neuausgabe von Geiger, R.: K ̈oppen-Geiger/Klima der Erde. (Wandkarte 1:16 Mill.). Klett-Perthes, Gotha.
Gilbert, M., Nicolas, G., Cinardi, G., Van Boeckel, T.P., Vanwambeke, S.O., Wint, G., Robinson, T.P., 2018. Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010. Scientific data 5, 1-11 10.1038/sdata.2018.227.
Gumbricht, T., Román-Cuesta, R., Verchot, L., Herold, M., Wittmann, F., Householder, E., Herold, N., Murdiyarso, D., 2017. Tropical and Subtropical Wetlands Distribution version 2.
Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., Tavoni, M., 2017. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global environmental change 42, 153-168 10.1016/j.gloenvcha.2016.05.009.
Harris, I., Jones, P.D., Osborn, T.J. & Lister, D.H. 2014. Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset. International Journal of Climatology, 34(3): 623–642. https://doi.org/https://doi.org/10.1002/joc.3711
Hempel, S., Frieler, K., Warszawski, L., Schewe, J. & Piontek, F. 2013. A trend-preserving bias correction – the ISI-MIP approach. Earth System Dynamics, 4(2): 219–236. https://doi.org/10.5194/esd-4-219–2013
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., 2020. The ERA5 global reanalysis. Quarterly journal of the royal meteorological society 146, 1999-2049 https://doi.org/10.1002/qj.3803.
Higgins, G.M., Kassam, A.H., Kowal, J.M., Sarraf, S., Arnoldusse, H.J.M., Frere, M., Hrabozszki, J., Van Velhuizen, H., 1978. Report on the Agro-ecological zones project. Vol.1 Methodology and results for Africa. , World soil resources report No 48. FAO, Rome, Italy.
International Institute of Applied Systems Analysis & Food and Agricultural Organization, Laxenburg, Austria & Rome, Italy, International, B., 2022. World Database of Key Biodiversity Areas [online]. https://www.keybiodiversityareas.org/.
IPCC, 2023. Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change., Cambridge, p. 2409.
ISRIC & FAO. 2006. Harmonized Continental SOTER-derived database (SOTWIS). Wageningen, The Netherlands, International Soil Reference and Information Centre.
IUCN, 2016. A global standard for the identificaiton of Key Biodiverstiy Areas, Version 1.0. First edition. nternational Union for Conservation of Nature (IUCN), p. 46.
IUCN. 2019. Guidelines for using A Global Standard for the Identification of Key Biodiversity Areas. Version 1.1. KBA Standards and Appeals Committee of the IUCN Species Survival Commission and IUCN World Commission on Protected Areas, ed. Gland, Switzerland, International Union for Conservation of Nature and Natural Resources (IUCN). 148 pp. (also available at https://portals.iucn.org/library/sites/library/files/documents/2019–001.pdf).
Karra, K., Kontgis, C., Statman-Weil, Z., Mazzariello, J.C., Mathis, M., Brumby, S.P., 2021. Global land use/land cover with Sentinel 2 and deep learning, 2021 IEEE international geoscience and remote sensing symposium IGARSS. IEEE, pp. 4704-4707.
Kassam, A.., Van Velthuizen, H., Fischer, G. & Shah, M.M. 1991a. Agro-ecological Land Resources Assessment for Agricultural Development Planning. World Soil edition. Rome, Italy, Food and Agriculture Organization of the United Nations, International Institute for Applied Systems Analysis.
Kassam, A.H. 1977. Net Biomass Production and Yield of Crops with Provisional Results for Tropical Africa. Rome, Italy, Food and Agriculture Organization of the United Nations, Soil Resources, Management and Conservation Service, Land and Water Development Division. 60 pp.
Kassam, A.H., van Velthuizen, H., Fischer, G.W. & Shah, M.M. 1991b. Agro-ecological land Resources Assessment for agricultural Development Planning - A case Study of Kenya-Technical Annex 3, Agro-climatic and Agro-edaphic Suitabilities for Barley, Oat, Cowpea, Green Gram and Pigeonpea, World Soil Resources Report 71/3. Rome, Italy, Food and Agriculture Organization of the United Nations, International Institute for Applied Systems Analysis. http://www.fao.org/3/t0741e/T0741E00.htm
Kassam, A.H., van Velthuizen, H., Higgins, G.M., Christoforides, A., Voortman, R.L. & Spiers, B. 1983. Assessment of Land Resources for Crop Production in Mozambique. (6 Volumes). Rome, Italy, Food and Agriculture Organization of the United Nations, United Nations Development Programme, Ministry of Agriculture.
Köppen, W. 1900. Versuch einer Klassifikation der Klimate, vorzugsweise nach ihren Beziehungen zur Pflanzenwelt. Geogr. Zeitschr., 6: 593–611, 657–679. Kowal, J. & Kassam, A.H. 1978. Agricultural Ecology of Savanna. Oxford, United Kingdom, Clarendon Press.
Lange, S., 2019. Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1. 0). Geoscientific Model Development 12, 3055-3070
Lange, S., 2021a. ISIMIP3b bias adjustment fact sheet, Inter-Sectoral Impact Model Intercomparison Project. Potsdam institute for climate impact research (PIK), Potsdam, Germany.
Lange, S., 2021b. ISIMIP3BASD v2.5.0, https://doi.org/10.5281/zenodo.4686991. zenodo.
Latham, J., Cumani, R., Rosati, I. & Bloise, M. 2014. Global Land Cover SHARE (GLC-Share) database Beta-Release Version 1.0. Rome, Italy, Food and Agriculture Organization of the United Nations. 40 pp. (also available at http://www.fao.org/uploads/media/glc-share-doc.pdf).
Lehner, B. & Döll, P. 2004a. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology, 296(1): 1–22. https://doi.org/https://doi.org/10.1016/j.jhydrol.2004.03.028
Lehner, B. & Döll, P. 2004b. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology, 296(1): 1–22. https://doi.org/https://doi.org/10.1016/j.jhydrol.2004.03.028
Lehner, B., Döll, P., 2004. Global Lakes and Wetlands Database GLWD. GLWD Documentation
Mehta, P., Siebert, S., Kummu, M., Deng, Q., Ali, T., Marston, L., Xie, W., Davis, K.F., 2024. Half of twenty-first century global irrigation expansion has been in water-stressed regions. Nature Water 2, 254-261
Monfreda, C., Ramankutty, N. & Foley, J.A. 2008. Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22(1). https://doi.org/https://doi.org/10.1029/2007GB002947
Monteith, J.L. 1965. Evapotranspiration and the environment. The State and Movement of Water in Living Organisms. XIXth Symposium. Society for Xp. Biology, Swansea. pp. 205–234. Paper presented at, 1965, Cambridge, UK.
Monteith, J.L. 1981. Evapotranspiration and surface temperature. Quarterly Journal Royal Meteorological Society, 107: 1–27.
Moss, R.H., Edmonds, J.A., Hibbard, K.A., Manning, M.R., Rose, S.K., van Vuuren, D.P., Carter, T.R., Emori, S., Kainuma, M., Kram, T., Meehl, G.A., Mitchell, J.F.B., Nakicenovic, N., Riahi, K., Smith, S.J., Stouffer, R.J., Thomson, A.M., Weyant, J.P. & Wilbanks, T.J. 2010. The next generation of scenarios for climate change research and assessment. Nature, 463(7282): 747–756. https://doi.org/10.1038/nature08823
Nachtergaele, F.O. & Bruggeman, H.. 1986. Methodology for regional analysis of physical potential for crop production. Annex 2: Climate, soil and topography requirements for major crops in Southeast Asia. Rome, Italy, Food and Agriculture Organization of the United Nations.
Nachtergaele, F.O. 1988. Methodology for Regional Analysis of Physical Potential for Crop Production. AG:GCP/RAF/230/JPN, Field Document 1, KILIMO, Dar es Salaam. Microfilm. Rome, Italy, Food and Agriculture Organization of the United Nations.
Nachtergaele, F.O., van Velthuizen, H., Verelst, L. & Wiberg, D. 2012. Harmonized World Soil Database (version 1.2). Rome, Italy, Food and Agriculture Organization of the United Nations (FAO), International Institute for Applied Systems Analysis (IIASA),ISRIC-World Soil Information, Institute of Soil Science – Chinese Academy of Sciences (ISSCAS), Joint Research Centre of the Europe. 50 pp. (also available at http://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/).
Neye, P.H. & und Greenland, D.J. 1960. The soil under shifting cultivation. Technical Communication No. 51. Commonwealth Bureau of Soils. Harpenden, 156 S. (also available at https://onlinelibrary.wiley.com/doi/abs/10.1002/jpln.19610950215).
O’Neill, B.C., Kriegler, E., Ebi, K.L., Kemp-Benedict, E., Riahi, K., Rothman, D.S., van Ruijven, B.J., van Vuuren, D.P., Birkmann, J., Kok, K., Levy, M. & Solecki, W. 2017. The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change, 42: 169–180. https://doi.org/https://doi.org/10.1016/j.gloenvcha.2015.01.004
Oak Ridge National Laboratory. 2013. LandScan 2012 Global Population Database. In: Oak Ridge National Laboratory, UT-Battelle, LLC. [online]. https://purl.stanford.edu/dd452vk1873
Portmann, F., Siebert, S., Bauer, C. & Döll, P. 2008. Global data set of monthly growing areas of 26 irrigated crops. Frankfurt Hydrology Paper 06. Frankfurt am Main, Germany, Institute of Physical Geography, University of Frankfurt.
Portmann, F.T., Siebert, S. & Döll, P. 2010. MIRCA2000—Global monthly irrigated and rain-fed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. Global Biogeochemical Cycles, 24(1). https://doi.org/https://doi.org/10.1029/2008GB003435
Potapov, P., Turubanova, S., Hansen, M.C., Tyukavina, A., Zalles, V., Khan, A., Song, X.-P., Pickens, A., Shen, Q., Cortez, J., 2022. Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food 3, 19-28
Pradhan, P., Fischer, G., van Velthuizen, H., Reusser, D.E. & Kropp, J.P. 2015. Closing Yield Gaps: How Sustainable Can We Be? PLOS ONE, 10(6): e0129487. (also available at https://doi.org/10.1371/journal.pone.0129487).
Riahi, K., Van Vuuren, D.P., Kriegler, E., Edmonds, J., O’neill, B.C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J.C., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenoder, F., Da Silva, L.A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Robinson, T.P., Wint, G.R.W., Conchedda, G., Van Boeckel, T.P., Ercoli, V., Palamara, E., Cinardi, G., D’Aietti, L., Hay, S.I. & Gilbert, M. 2014. Mapping the global distribution of livestock. PloS one, 9(5): e96084. https://doi.org/10.1371/journal.pone.0096084
Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Rudolf, B. & Ziese, M. 2011. GPCC Full Data Reanalysis Version 6.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V6_050
Shi, X., Yu, D., Warner, E.D., Pan, X., Petersen, G.W., Gong, Z.G. & Weindorf, D.C. 2004. Soil Database of 1:1,000,000 Digital Soil Survey and Reference System of the Chinese Genetic Soil Classification System. (also available at https://acsess.onlinelibrary.wiley.com/doi/abs/10.2136/sh2004.4.0129).
Siebert, S., Henrich, V., Frenken, K. & Burke, J. 2013. Update of the Global Map of Irrigation Areas to version 5. Rome, Italy, Food and Agriculture Organization of the United Nations. 178 pp. (also available at http://www.fao.org/3/I9261EN/i9261en.pdf).
Smith, M. 1992. CROPWAT- A computer program for irrigation planning and management. FAO Irriga edition. Rome, Italy, Food and Agriculture Organization of the United Nations. 126 pp.
Sys, C. & Riquier, J. 1980. Ratings of FAO/Unesco soil units for specific crop production. Rome, Italy, Food and Agriculture Organization of the United Nations.
Sys, C., van Ranst, E. & Debaveye, J. 1991. Land Evaluation – Part I, Agricultural Publications No. 7. Brussels, Belgium, University of Ghent, General Administration for Development Cooperation, International Training Centre for Post-Graduate Soil Scientists (ITC).
Sys, C., van Ranst, E., Debaveye, J. & Beernaert, F. 1993. Land Evaluation – Parts I, II and III. International Training Centre for Post-Graduate Soil Scientists (ITC), University of Ghent, Agricultural Publications No. 7. Brussels, Belgium, General Administration for Development Cooperation.
Taylor, K.E., Stouffer, R.J. & Meehl, G.A. undated. An Overview of CMIP5 and the Experiment Design. Bulletin of the American Meteorological Society, 93(4): 485–498. https://doi.org/10.1175/BAMS-D-11–00094.1
Tubiello, F.N., Conchedda, G., Casse, L., Pengyu, H., Zhongxin, C., De Santis, G., Fritz, S., Muchoney, D., 2023. Measuring the world’s cropland area. Nature Food 4, 30-32
Uchijima, Z. & Seino, H. 1988. An agroclimatic method of estimating net primary productivity of natural vegetation. Japan Agricultural ResearchxQuarterly, 21(4): 244–250. (also available at https://www.jircas.go.jp/sites/default/files/publication/jarq/21–4-244-250_0.pdf).
UNDP/SSTC/FAO/SLA. 1994. China, Land Resources, Use and Productivity Assesment. Main Report. Technical Report of Project CPR/87/029. Rome, Italy, Benjing, China, Food and Agriculture Organization of the United Nations, China International Center For Economic And Technical Exchanges, United Nations Development Programme.
UNEP-WCMC & IUCN. 2017. World Database on Protected Areas (WDPA) [online]. https://www.iucn.org/theme/protected-areas/our-work/quality-and-effectiveness/world-database-protected-areas-wdpa
USDA & NCRS. 1967. Part 652 Irrigation Guide. National Engineering Handbook. Washington DC, USA, United States Department of Agriculture, Natural Resources Conservation Service.
Van Vuuren, D.P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G.C., Kram, T., Krey, V., Lamarque, J.-F., 2011. The representative concentration pathways: an overview. Climatic Change 109, 5
Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., Schewe, J., 2014. The inter-sectoral impact model intercomparison project (ISI–MIP): project framework. Proceedings of the National Academy of Sciences 111, 3228-3232
Weedon, G.P., Gomes, S., Viterbo, P., Shuttleworth, W.J., Blyth, E., Österle, H., Adam, J.C., Bellouin, N., Boucher, O. & Best, M. 2011. Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. Journal of Hydrometeorology, 12(5): 823–848. https://doi.org/10.1175/2011JHM1369.1
Young, A. & Wright, C. 1980. Rest period requirements of tropical and subtropical soils. Pages 197 – 268. Report on the second FAO/UNFPA expert consultation on land resources for populations of the future. Rome, Italy, Food and Agriculture Organization of the United Nations.
Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, L., Tsendbazar, N.-E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. Zenodo.
Zhang, X. & Zhou, G. 1995. A New NPP Model. China Contribution to Global Change Studies. In Y.D. and L. Hai., ed. China Global Change Report No. 2., p. Beijing China, Science Press.
Zhang, X., Liu, L., Chen, X., Gao, Y., Xie, S., Mi, J., 2021. GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery. Earth System Science Data 13, 2753–2776 10.5194/essd-13-2753-2021.
Zhao, J., Yu, L., Liu, H., Huang, H., Wang, J., Gong, P., 2021. Towards an open and synergistic framework for mapping global land cover. PeerJ 9, e11877