%0 Dataset
%T History of Human Land Transformation in South America (HISLAND-SA) Annual 1-kilometer Resolution Crop specific Grid Data (1950-2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/b931e053-b183-49e5-adc2-faf60cfe2218
%W NCDC
%R 10.5281/zenodo.14002960
%A Tian Hanqin
%K South America;crop map;corn
%X This data integrates multiple sources of data, including high-resolution remote sensing data, model simulation data, and historical agricultural census data. Using 1950 to 2020 as the time scale and a spatial resolution of 1 kilometer by 1 kilometer, it reconstructs the historical dynamics of four major economic crops in South America, namely soybean, corn, wheat, and rice. The research results indicate that over the past 70 years, the farmland area in South America has rapidly expanded by encroaching on other vegetation. Specifically, soybean is one of the most significantly expanding crops, with its planting area increasing from almost zero in 1950 to 48.8 million hectares in 2020, resulting in a total reduction of 23.92 million hectares in other vegetation (i.e. forests, pastures/grasslands, and unmanaged grasslands/shrubs). In addition, the planting area of corn increased by 2.1 times from 12.7 million hectares in 1950 to 26.9 million hectares in 2020, while the planting area of rice and wheat remained relatively stable. The newly developed crop type data provides important insights for evaluating the impact of agricultural land expansion in South America on crop yield, greenhouse gas emissions, and carbon and nitrogen cycling. In addition, these data are crucial for formulating national policies, sustainable trade, investment, and development strategies aimed at ensuring food supply in South America and other regions, as well as achieving other human and environmental goals