"13766","7","archive","353",,,"disk0/00/01/37/66","2016-08-25 06:47:54","2021-08-27 17:41:35","2016-08-25 06:47:54","article",,,"show","","","1",,,"Liu","W.","","",,"","",,,,,"","","Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations","pub","","","prog_esm",,,"Agricultural application of reactive nitrogen (N) for fertilization is a cause of massive negative environmental problems on a global scale. However, spatially explicit and crop-specific information on global N losses into the environment and knowledge of trade-offs between N losses and crop yields are largely lacking. We use a crop growth model, Python-based Environmental Policy Integrated Climate (PEPIC), to determine global N losses from three major food crops: maize, rice, and wheat. Simulated total N losses into the environment (including water and atmosphere) are 44 Tg N yr− 1. Two thirds of these, or 29 Tg N yr− 1, are losses to water alone. Rice accounts for the highest N losses, followed by wheat and maize. The N loss intensity (NLI), defined as N losses per unit of yield, is used to address trade-offs between N losses and crop yields. The NLI presents high variation among different countries, indicating diverse N losses to produce the same amount of yields. Simulations of mitigation scenarios indicate that redistributing global N inputs and improving N management could significantly abate N losses and at the same time even increase yields without any additional total N inputs","2016-12-01","published","Elsevier","10.1016/j.scitotenv.2016.08.093",,,,,,"",,,,,"",,,,,"",,,,,"","",,"",,,,,,,"21","none",,,,"Science of The Total Environment","572",,,"526-537",,,,,,,,,,,"TRUE",,"00489697",,,,,,"","","","",,"","",,,,,,,"",,,,,"FALSE","no",,"info:eu-repo/semantics/article",
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"13766",,,,,,,,,,,,,,,,,,,"Liu","J.","","",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"13766",,,,,,,,,,,,,,,,,,,"Azevedo","L.B.","","","8735",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"13766",,,,,,,,,,,,,,,,,,,"Wang","X.","","",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"13766",,,,,,,,,,,,,,,,,,,"Xu","Z.","","",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"13766",,,,,,,,,,,,,,,,,,,"Abbaspour","K.C.","","",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"13766",,,,,,,,,,,,,,,,,,,"Schulin","R.","","",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
