{"id":"817e20c1-2184-4eda-b129-c8aa6584f5c5","title":"Bottom-up estimates of reactive nitrogen loss from Chinese wheat production in 2014","title_en":null,"serial":"","user_limit":"To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.","instructions":"EF1: EF of NO; EF2: EF of N2O; EF3: EF of NH3; EF4: EF of NO3- leaching; EF5: EF of Nr runoff; \nN_rate: N application rate in each grid;\nL1: the amount of NO emission; L2: the amount of N2O emission: L3: the amount of NH3 emission; L4: the amount of NO3- leaching; L5: the amount of Nr runoff; Total_L: the amount of total Nr loss","description":"The excessive use of synthetic nitrogen (N) for Chinese wheat production results in high loss of reactive N (Nr; all forms of N except N2) into the environment, causing serious environmental issues. Quantifying Nr loss and spatial variations therein is vital to optimize N management and mitigate losses. However, accurate, high spatial resolution estimations of Nr loss from wheat production are lacking due to the limitations of data generation and estimation methods. Here, we applied the random forest (RF) algorithm to bottom-up N application rate data, obtained through a survey of millions of farmers, to estimate the Nr loss from wheat production in 2014. The results showed that the average total Nr loss was 52.5 kg N ha-1 (range: 4.6–157.8 kg N ha-1), which accounts for 26.1% of the total N applied. The hotspots for high Nr loss are the same as those for high applied N, including northwestern Xinjiang, central-southern Hebei, Shandong, central-northern Jiangsu, and Hubei. Our database could guide regional N management and be used in conjunction with biogeochemical models.","doi":"10.11888/HumanNat.tpdc.272007","projection":"Albers","language":"en","share_type":"online","east":135.08,"west":73.55,"south":3.58,"north":53.55,"scale":null,"crs":null,"filesize":8.7,"share_policy":"a","ts_created":"2022-01-15T09:25:33.302901+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-02-16T15:00:33.284443+08:00","time_description":"","datas_group":2,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"817e20c1-2184-4eda-b129-c8aa6584f5c5","three_pole":null,"third_pole":null},"username":"tianxingshuai","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":112}