HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1 km gridded data for soybean, maize, wheat, and rice (1950–2020)
Binyuan Xu,Hanqin Tian,Shufen Pan,Xiaoyong Li,Ran Meng,Óscar Melo,Anne McDonald,María de los Ángeles Picone,Xiao-Peng Song,Edson Severnini,Katharine G. Young,and Feng Zhao
Binyuan Xu
Center for Earth System Science and Global Sustainability (CES), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA 02467, USA
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430000, China
Center for Earth System Science and Global Sustainability (CES), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA 02467, USA
Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA 02467, USA
Shufen Pan
Center for Earth System Science and Global Sustainability (CES), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA 02467, USA
Department of Engineering, Boston College, Chestnut Hill, MA 02467, USA
Center for Earth System Science and Global Sustainability (CES), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA 02467, USA
School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
Center for Earth System Science and Global Sustainability (CES), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, MA 02467, USA
Department of Economics, Boston College, Chestnut Hill, MA 02467, USA
Key Laboratory of Sustainable Forest Ecosystem Management – Ministry of Education, College of Forestry, Northeast Forestry University, Harbin 150040, China
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Total article views: 3,277 (including HTML, PDF, and XML)
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Total article views: 1,804 (including HTML, PDF, and XML)
Thereof 1,800 with geography defined
and 4 with unknown origin.
Total article views: 1,473 (including HTML, PDF, and XML)
Thereof 1,473 with geography defined
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This study reconstructed the spatial and temporal patterns of four major crops (soybean, maize, wheat, and rice) in South America from 1950 to 2020 by integrating multiple data sources. The results reveal a significant expansion in cropland, particularly for soybean, leading to a substantial reduction in natural vegetation such as forests and grasslands. The datasets can be used to assess the impacts of cropland expansion on water, carbon, and nitrogen cycles in South America.
This study reconstructed the spatial and temporal patterns of four major crops (soybean, maize,...