Global black soil distribution
Yuxin TONG, Marcos E. ANGELINI, Yusuf YIGINI, Isabel LUOTTO
Global black soil distribution
● Global black soil distribution map developed by using country-driven approach.
● Black soils are key to global food security and climate change mitigation and adaptation.
● Black soils form under various pedoenvironments at global level.
● Black soils predominantly occur in Eastern Europe, Central and Eastern Asia, and the northern and southern extremities of the Americas.
● Black soils hold a substantial global soil organic carbon stock, amounting to about 56 Gt.
Black soils, characterized by their thick, dark horizons enriched with organic matter, epitomize highly fertile soils. However, their fertility precipitates intense land use, engendering challenges such as soil erosion, nutrient depletion, pollution, compaction, salinization, and acidification. Notably, these soils are significant contributors to global greenhouse gas emissions, primarily due to substantial losses in soil organic carbon. Despite these challenges, black soils are pivotal for global food production. This paper delineates the implementation of digital soil mapping for the global cartography of black soils and human interference on these soils. Predominantly distributed in Eastern Europe, Central and Eastern Asia, and North and South America, black soils cover an approximate area of 725 Mha, with the Russian Federation, Kazakhstan, and China collectively have over half of this area. Agriculturally, these soils underpin significant proportions of global crop yields, producing 66% of sunflower, 30% of wheat, and 26% of potato outputs. The organic carbon content in the upper 30 cm of these soils is estimated at 56 Gt. Sustainable management of black soils is imperative for ensuring food security and addressing climate change on a global scale.
Black soils / distribution map / food security / soil organic carbon
[1] |
Food and Agriculture Organization of the United Nations (FAO). Black Soil Definition. Rome: FAO, 2019. Available at FAO website on November 21, 2019
|
[2] |
Food and Agriculture Organization of the United Nations (FAO), Intergovernmental Technical Panel on Soils (ITPS). Status of the World’s Soil Resources (SWSR)—Main Report. Rome: FAO, 2015. Available at FAO website on April 23, 2015
|
[3] |
Iutynskaya G A, Patyka V F. Soil Biology: Problems and Perspectives. Agricultural Chemistry and Soil Science. In: Proceedings of Soil Science Council 2010, 1, Zhitomir. Ukraine: Ruta Press, 2008 (in Ukrainian)
|
[4] |
Krupenikov I A. 1992. The Soil Layer of Moldova: Past, Present, Management, Forecast. Kishinev: Shtiintsa, 1992 (in Slovak)
|
[5] |
Ciolacu T . Current state of humus in arable chernozems of Moldova. Agronomy, 2017, 60: 57–60
|
[6] |
Agriculture and Agri-Food Canada. Prairie Soils: the Case for Conservation. Ottawa, Canada: Agriculture and Agri-Food Canada, 2003. Available at Agriculture and Agri-Food Canada website on September 15, 2020
|
[7] |
Duran A. An overview of South American Mollisols: Soil Formation, Classification, Suitability and Environmental Challenges. In: Proceedings of the International Symposium on Soil Quality and Management of World Mollisols 2010, Harbin. Harbin: Northeast Forestry University Press, 2010, 31–45
|
[8] |
Baethgen W, Morón A. Carbon Sequestration in Agricultural Production Systems of Uruguay: Data Observed and CENTURY Model Simulation Runs. Annals of the V Meeting of the Latin American Network of Conservation Agriculture, 2000
|
[9] |
Lal R. Managing Chernozem for Reducing Global Warming. In: Regenerative Agriculture: What’s Missing? What Do We Still Need to Know? Cham: Springer International Publishing, 2021, 81–93
|
[10] |
Food and Agriculture Organization of the United Nations (FAO). The 174th Session of FAO Council. Rome: FAO, 2023. Available at FAO website on December 4, 2023
|
[11] |
Food and Agriculture Organization of the United Nations (FAO), United Nations Environment Programme (UNEP). Global Assessment of Soil Pollution: Report. Rome: FAO, 2021. Available at FAO website on June 4, 2021
|
[12] |
Chaney N W, Wood E F, McBratney A B, Hempel J W, Nauman T W, Brungard C W, Odgers N P . POLARIS: a 30-meter probabilistic soil series map of the contiguous United States. Geoderma, 2016, 274(3): 54–67
CrossRef
Google scholar
|
[13] |
Holmes K W, Griffin E A, Odgers N P . Large-area spatial disaggregation of a mosaic of conventional soil maps: evaluation over Western Australia. Soil Research, 2015, 53(8): 865–880
CrossRef
Google scholar
|
[14] |
Nauman T W, Thompson J A . Semi-automated disaggregation of conventional soil maps using knowledge driven data mining and classification trees. Geoderma, 2014, 213(1−4): 385–399
CrossRef
Google scholar
|
[15] |
Bui E N, Moran C J . Disaggregation of polygons of surficial geology and soil maps using spatial modelling and legacy data. Geoderma, 2001, 103(1−2): 79–94
CrossRef
Google scholar
|
[16] |
Food and Agriculture Organization of the United Nations (FAO). Global Soil Organic Carbon Map. Rome: FAO, 2017. Available at FAO website on December 5, 2017
|
[17] |
Hengl T, Wheeler I, MacMillan R A. LandGIS: Global Soil and Vegetation Mapping Using Legacy Field Observations and State-of-the-Art Machine Learning (v0.1), Zenodo, 2019
|
[18] |
Elith J, Leathwick J R . Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 2009, 40(1): 677–697
CrossRef
Google scholar
|
[19] |
Hijmans R J, Elith J. Species Distribution Modeling with R. R CRAN Project, 2020
|
[20] |
Breiman L . Random forests. Machine Learning, 2001, 45(1): 5–32
CrossRef
Google scholar
|
[21] |
Amani M, Ghorbanian A, Ahmadi S A, Kakooei M, Moghimi A, Mirmazloumi S M, Moghaddam S H A, Mahdavi S, Ghahremanloo M, Parsian S, Wu Q, Brisco B . Google Earth Engine cloud computing platform for remote sensing big data applications: a comprehensive review. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 5326–5350
CrossRef
Google scholar
|
[22] |
Tadono T, Takaku J, Tsutsui K, Oda F, Nagai H. Status of “ALOS World 3D (AW3D)” global DSM generation. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Milan: IEEE, 2015: 3822–3825
|
[23] |
Center for International Earth Science Information Network (CIESIN). Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. New York: NASA, 2022. Available at NASA website on March 31, 2022
|
[24] |
Zanaga D, Van De Kerchove R, De Keersmaecker W, Souverijns N, Brockmann C, Quast R, Wevers J. ESA WorldCover 10 m 2020 v100. Available at European Space Agency website on October 20, 2021
|
[25] |
Hansen M C, Potapov P V, Moore R, Hancher M, Turubanova S A, Tyukavina A, Thau D, Stehman S V, Goetz S J, Loveland T R, Kommareddy A, Egorov A, Chini L, Justice C O, Townshend J R . High-resolution global maps of 21st-century forest cover change. Science, 2013, 342(6160): 850–853
CrossRef
Google scholar
|
[26] |
Food and Agriculture Organization of the United Nations (FAO). Global Map of Black Soils. Rome: FAO, 2022. Available at FAO website on May 27, 2022
|
[27] |
Food and Agriculture Organization of the United Nations (FAO). Global Soil Organic Carbon Sequestration Potential Map—SOCseq v.1.1. Technical report. Rome: FAO, 2022. Available at FAO website on April 20, 2022
|
[28] |
Bockheim J G, Hartemink A E. Soil-forming factors. The soils of Wisconsin, 2017, 23–54
|
[29] |
SRubio G, Lavado R S, Pereyra F X. The Soils of Argentina. Madison: Springer International Publishing, 2019
|
[30] |
Wang Z, Mao D, Li L, Jia M, Dong Z, Miao Z, Ren C, Song C . Quantifying changes in multiple ecosystem services during 1992–2012 in the Sanjiang Plain of China. Science of the Total Environment, 2015, 514(C): 119–130
CrossRef
Google scholar
|
[31] |
Krasilnikov P, Martí J I, Arnold R, Shoba S. A Handbook of Soil Terminology, Correlation and Classification. London: Sterling, 2009
|
[32] |
Sedov S, Solleiro R E, Morales P P, Arias H A, Vallejo G E, Jasso C C. Mineral and organic components of the buried paleosols of the Nevado de Toluca, Central Mexico as indicators of paleoenvironments and soil evolution. Quaternary International, 2003, 106−107(2): 169−184
|
[33] |
IUSS Working Group WRB. World reference Base for Soil Resources 2014, update 2015. Rome: FAO, 2015. Available at FAO website on January 4, 2016
|
[34] |
Liu X B, Lee B C, Kravchenko Y S, Duran A, Huffman T, Morras H, Studdert G, Zhang X Y, Cruse R M, Yuan X H . Overview of Mollisols in the world: distribution, land use and management. Canadian Journal of Soil Science, 2012, 92(3): 383–402
CrossRef
Google scholar
|
[35] |
Tong Y, Liu J, Li X, Sun J, Herzberger A, Wei D, Zhang W, Dou Z, Zhang F . Cropping system conversion led to organic carbon change in China’s Mollisols regions. Scientific Reports, 2017, 7(1): 18064
CrossRef
Google scholar
|
[36] |
Polupan N I. Soils of Ukraine and Increase of Their Fertility: Vol. 1. Ecology, Regimes and Processes, Classification and Genetic and Production Aspects. Kiev: Urogaj, 1988 (In Russian)
|
[37] |
Durán A, Morrás H, Studdert G, Liu X B . Distribution, properties, land use and management of Mollisols in South America. Chinese Geographical Science, 2011, 21(5): 511–530
CrossRef
Google scholar
|
[38] |
United States Department of Agriculture (USDA). Keys to Soil Taxonomy. 12th ed. United States Department of Agriculture, Natural Resources Conservation Service. Washington: USDA, 2014. Available at USDA website on September 26, 2014
|
[39] |
Takata Y, Kawahigashi M, Kida K, Tani M, Kinoshita R, Ito T, Shibata M, Takahashi T, Fujii K, Imaya A, Obara H, Maejima Y, Kohyama K, Kato T. Major Soil Types. In: Hatano R, Shinjo H, Takata Y, eds. The Soil of Japan, 2021: 69–134
|
[40] |
Shoji S, Nanzyo M, Dahlgren R A. Volcanic Ash Soils-Genesis, Properties and Utilization. Developments in Soil Science 21. Amsterdam: Elsevier, 1994
|
[41] |
Pape J C . Plaggen soils in the Netherlands. Geoderma, 1970, 4(3): 229–255
CrossRef
Google scholar
|
[42] |
Standing Committee of 13th National People’s Congress. National Law of the Black Soil Protection. Beijing: The Government of the People’s Republic of China, 2022. Available at The government of the People’s Republic of China website on August 1, 2022
|
/
〈 | 〉 |