Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000

Abstract

[1] Croplands cover $15 million km 2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover data sets from satellites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited. Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 min by 5 min ($10 km by 10 km) latitudelongitude grid. The resulting land use data sets depict circa the year 2000 the area (harvested) and yield of 175 distinct crops of the world. We aggregate these individual crop maps to produce novel maps of 11 major crop groups, crop net primary production, and four physiologically based crop types: annuals/perennials, herbaceous/shrubs/trees, C 3 /C 4 , and leguminous/nonleguminous.

The Global Impacts of Biofuel Mandates

“…Other land uses are assumed to be invariant to biofuels policies. The data base on harvested land cover and yields is from Monfreda et al (2008aMonfreda et al ( , 2008b. This has its origins in the AgroMaps data base project of FAO, IFPRI and SAGE, which assembled county-level data for all countries of the world and mapped these to 0.5 degree grid cells.…”

Modeling water requirements of major crops and their responses to climate change in the North China Plain

“…These data were used to predict CWR for the current climatic conditions. (Monfreda et al 2008). The SAGE dataset provides planting area of 175 primary crops in the year 2000 with spatial resolutions of 5 min.…”

An integrated assessment of two decades of air pollution policy making in Spain: Impacts, costs and improvements

“…To this respect, E R functions based on the daylight accumulated dose over a 40 ppb threshold (AOT 40 ) were obtained for the most important agricultural and horticultural crops that Spain produces, namely wheat (Triticum aestivum), maize (Zea mays), rice (Oryza sativa), potato (Solanum tuberosum), sunflower (Helianthus annuum), tomato (Solanum lycopersicum), grapes (Vitis vi nifera), tobacco (Nicotiana tabacum) and watermelon (Citrullus lanatus) (Mills et al, 2007;Mirasgedis et al, 2008;Van Dingenen et al, 2009). Spatial crop productions were derived as a function of harvested areas and gross crop production (NUTS 2 statistical level), incorporating spe cific geographic covers from EarthStat and CORINE Land Cover 2002 ac cording to Monfreda et al (2008). The general approach for the estimation of crop losses based on AOT 40 values has been previously analysed in de Andrés et al (2012) and Vedrenne et al (2014b) for wheat.…”