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准确计算农田土壤磷储量对农业可持续发展和面源污染治理具有重要意义,但以往的磷储量研究并没有考虑不同土壤数据源和制图尺度造成的估算误差.本文以江苏北部29个县(市)约393×10~4hm~2旱地为例,分析了我国《县级土种志》、《地级市土种志》、《省级土种志》和《中国土种志》中记录土壤剖面资料分别建立的1∶5万、1∶25万、1∶50万、1∶100万、1∶400万和1∶1000万数据库对土壤全磷储量估算的影响.结果表明:与数据最详细、记录有983个土壤剖面的《县级土种志》1∶5万尺度全磷密度和储量相比,其他不同土壤数据源建立的各个尺度土壤数据库估算的全磷密度和储量相对偏差分别在4.8%~48.9%和1.6%~48.4%.大部分《县级土种志》和《地级市土种志》土壤数据源建立的不同尺度全磷密度与《县级土种志》1∶5万尺度之间存在极显著或显著差异,《省级土种志》和《中国土种志》土壤数据源建立的不同尺度全磷密度与《县级土种志》1∶5万尺度之间均存在极显著差异,说明在旱地磷储量估算的研究中,选择适宜的制图尺度和土壤数据源是非常必要的.
Accurately calculating the amount of P stored in farmland is of great importance to the sustainable development of agriculture and the control of non-point source pollution, but the previous study of P reserves did not take into account the estimation error caused by different soil data sources and mapping scales.In this paper, 29 counties ) About 393 × 10 ~ 4hm ~ 2 dryland as an example, this paper analyzes the records of soil in the records of “county soil soil type”, “prefecture-level soil type”, “provincial soil type” and “ The data of 1: 50000, 1: 25000, 1: 50000, 1: 1000000, 1: 400000 and 1: 10000000 databases respectively established in this study were used to estimate the soil total phosphorus reserves.The results showed that the data In detail, 983 soil profiles were recorded at 1: 50,000 scales of total phosphorus at the county level and compared with the reserves. The relative total deviations of estimated total phosphorus and relative reserves at different scales of soil database established by different soil sources were In the range of 4.8% -48.9% and 1.6% -48.4% .There was a significant correlation between total phosphorus at different scales established by the soil data source of ” : There are very significant or significant differences between the scale of 50,000, “provincial soil type” and There was a significant difference between the total phosphorus density of different scales and the scale of 1: 50000 in “soil-type soil records” established by “soil soil type” soil data source, indicating that in the research of estimating phosphorus reserves in dry land, Mapping scales and soil data sources are essential.