Characterizing patterns of global land use: An analysis of global croplands data

Human activities have shaped significantly the state of terrestrial ecosystems throughout the world. One of the most direct manifestations of human activity within the biosphere has been the conversion of natural ecosystems to croplands. In this study, we present an analysis of the geographic distribution and spatial extent of permanent croplands. This analysis represents the area in permanent croplands during the early 1990s for each grid cell on a global 5 min (∼10 km) resolution latitude‐longitude grid. To create this data set, we have combined a satellite‐derived land cover data set with a variety of national and subnational agricultural inventory data. A simple calibration algorithm was used so that the spatial land cover data were generally consistent with nonspatial agricultural inventory data. The spatial distribution of croplands represented in this analysis presents a quantitative depiction of global agricultural geography. The regions of the world known to have intense cultivation (e.g., the North American corn belt, the European wheat‐corn belt, the Ganges floodplain, and eastern China) are clearly portrayed in this analysis. It also captures the less intensely cultivated regions of the world, usually surrounding the regions mentioned above, and regions characterized by subsistence agriculture (e.g., Sahelian Africa). Data generated from this kind of analysis can be used within global climate models and global ecosystem models to assess the importance of permanent croplands on environmental processes. In particular, these data, combined with models, could help evaluate the role of changing land cover on regional climate and carbon cycling. Future efforts will need to concentrate on other land use systems, including pastures and regions of shifting cultivation. Furthermore, land use and land cover data must be extended to include an historical dimension so as to evaluate the changing state of the biosphere over time. This article contains supplementary material.

[1]  J. R. Anderson.  A geography of agriculture , 1970 .

[2]  T. R. Tregear.  An economic geography of China , 1970 .

[3]  G. Likens,et al.  Carbon in the biota. , 1973, Brookhaven symposia in biology.

[4]  John E. Ross,et al.  The Institute for Environmental Studies , 1973 .

[5]  D. Grigg.  The Agricultural Systems of the World by D. B. Grigg , 1974 .

[6]  Helmut Lieth,et al.  Primary Production of the Major Vegetation Units of the World , 1975 .

[7]  J. Stewart,et al.  Cultivation Effects on the Amounts and Concentration of Carbon, Nitrogen, and Phosphorus in Grassland Soils1 , 1982 .

[8]  E. Matthews.  Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies , 1983 .

[9]  G. Woodwell,et al.  Changes in the Carbon Content of Terrestrial Biota and Soils between 1860 and 1980: A Net Release of CO"2 to the Atmosphere , 1983 .

[10]  J. Townshend,et al.  African Land-Cover Classification Using Satellite Data , 1985, Science.

[11]  Charles A. S. Hall,et al.  Land use change and carbon exchange in the tropics: I. Detailed estimates for Costa Rica, Panama, Peru, and Bolivia , 1985 .

[12]  William H. Schlesinger,et al.  Changes in Soil Carbon Storage and Associated Properties with Disturbance and Recovery , 1986 .

[13]  C. Justice,et al.  Characterization and classification of South American land cover types using satellite data , 1987 .

[14]  George M. Woodwell,et al.  The flux of carbon from terrestrial ecosystems to the atmosphere in 1980 due to changes in land use: geographic distribution of the global flux , 1987 .

[15]  B. Turner.  The Earth as Transformed by Human Action , 1988 .

[16]  Ann Henderson-Sellers,et al.  Modelling tropical deforestation: A study of GCM land-surface parametrizations , 1988 .

[17]  R. Houghton,et al.  Land-use change in the Soviet Union between 1850 and 1980: causes of a net release of CO2 to the atmosphere , 1988 .

[18]  J. Shukla,et al.  Amazon Deforestation and Climate Change , 1990, Science.

[19]  J. F. Richards,et al.  Historical analysis of changes in land use and carbon stock of vegetation in south and southeast Asia , 1991 .

[20]  Jesslyn F. Brown,et al.  Development of a land-cover characteristics database for the conterminous U.S. , 1991 .

[21]  Pekka E. Kauppi,et al.  Biomass and Carbon Budget of European Forests, 1971 to 1990 , 1992, Science.

[22]  Dale W. Johnson.  Effects of forest management on soil carbon storage , 1992 .

[23]  X. Zeng,et al.  Atmosphere-terrestrial ecosystem interactions: implications for coupled modeling , 1993 .

[24]  Thomas R. Loveland,et al.  USING MULTISOURCE DATA IN GLOBAL LAND-COVER CHARACTERIZATION: CONCEPTS, REQUIREMENTS, AND METHODS , 1993 .

[25]  Steven W. Running,et al.  A vegetation classification logic-based on remote-sensing for use in global biogeochemical models , 1994 .

[26]  A. Burger.  The Agriculture of the World , 1994 .

[27]  Richard A. Houghton,et al.  Land‐use change and the carbon cycle , 1995 .

[28]  I. C. Prentice,et al.  An integrated biosphere model of land surface processes , 1996 .

[29]  Paul R. Ehrlich,et al.  Human Appropriation of Renewable Fresh Water , 1996, Science.

[30]  Gordon B. Bonan,et al.  Effects of Land Use on the Climate of the United States , 1997 .

[31]  R. O'Neill,et al.  The value of the world's ecosystem services and natural capital , 1997, Nature.

[32]  A. Belward,et al.  The IGBP-DIS global 1km land cover data set, DISCover: First results , 1997 .

[33]  H. Mooney,et al.  Human Domination of Earth’s Ecosystems , 1997, Renewable Energy.

[34]  J. Townshend,et al.  Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers , 1998 .