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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Spatial patterns of soil total nitrogen and soil total phosphorus across the entire Loess Plateau region of China.
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Spatial patterns of soil total nitrogen and soil total phosphorus across the entire Loess Plateau region of China.

机译:黄土高原地区土壤全氮和全磷的空间格局

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摘要

Soil total nitrogen (STN) and soil total phosphorus (STP), which vary spatially at different scales, play important roles in both agriculture and in the natural environment, especially those related to soil productivity and aquatic eutrophication. However, little information is available about the regional spatial availability of STN and STP and the influence of land use at the regional scale of the Loess Plateau (620,000 km2) of China. Therefore, 764 soil samples were collected from 382 sampling sites across the region in order to determine STN, STP and other related soil properties and to relate them to site characteristics. Classical statistics and geostatistics were used to analyze the current status and spatial pattern of STN and STP. Mean STN and STP concentrations ranged from 0.50 g kg-1 to 0.81 g kg-1 and from 0.46 g kg-1 to 0.61 g kg-1, respectively, under different land use types. Mean STN and STP densities ranged from 0.27 kg m-2 to 0.39 kg m-2 and from 0.27 kg m-2 to 0.38 kg m-2, respectively, under different land use types. The concentrations and densities of STN and STP under different land use types were all moderately variable. Land use, precipitation and temperature significantly affected both STN and STP (p<0.05). The results varied among different precipitation and temperature regions for different land use types. Generally, cropland had higher concentrations and densities of STN and STP than forestland and grassland, and regions with higher precipitation and temperatures had higher STN and STP densities. Significant correlations were found between STN and STP, with selected variables, i.e. soil organic carbon, precipitation, temperature, elevation, latitude, longitude, slope gradient, clay content, silt content and soil pH. The results were not consistent within either STN, or STP, or the land use types. Therefore, land-use specific linear models were derived that predicted STN and STP. Both STN and STP demonstrated moderate spatial dependence. The spatial range of STN and STP ranged from 374 km to 461 km and from 546 km to 664 km, respectively, which were much greater than our sampling intervals (30-50 km). Distribution maps of STN and STP densities, derived by kriging interpolation, showed similar patterns with a central area of low values surrounded by bands of higher values progressively increasing towards the region's boundaries. Stocks of STN and STP were estimated to be 0.217 Pg and 0.205 Pg in the upper 0-40 cm soil layers, which were about 5.4% and 7.3% of the total nitrogen and phosphorus stocks in China. Our study suggests that it is important to take land use into account when considering variations of STN and STP at the regional scale. The spatial data of STN and STP could serve as initial inputs in regional nitrogen and phosphorus models and could be combined with soil erosion data to assess the risks of nitrogen and phosphorus losses to aquatic systems.
机译:土壤总氮(STN)和土壤总磷(STP)在不同尺度上空间变化,在农业和自然环境中都起着重要作用,特别是那些与土壤生产力和水体富营养化有关的土壤。但是,关于STN和STP的区域空间可用性以及中国黄土高原区域规模(620,000 km 2 )的土地利用影响的信息很少。因此,从该地区的382个采样点采集了764个土壤样本,以确定STN,STP和其他相关的土壤特性并将它们与站点特征相关联。利用经典统计和地统计学方法来分析STN和STP的现状和空间格局。 STN和STP的平均浓度范围为0.50 g kg -1 至0.81 g kg -1 和0.46 g kg -1 至0.61 g kg -1 分别在不同的土地利用类型下。 STN和STP的平均密度介于0.27 kg m -2 至0.39 kg m -2 和0.27 kg m -2 至0.38 kg m -2 分别在不同的土地利用类型下。不同土地利用类型下STN和STP的浓度和密度均适度变化。土地利用,降水和温度均显着影响STN和STP(p <0.05)。对于不同的土地利用类型,结果在不同的降水和温度区域之间会有所不同。通常,农田中STN和STP的浓度和密度高于林地和草地,而降水和温度较高的地区STN和STP的密度较高。发现STN和STP之间存在显着的相关性,并具有选定的变量,即土壤有机碳,降水,温度,海拔,纬度,经度,坡度,粘土含量,淤泥含量和土壤pH值。在STN,STP或土地使用类型中,结果均不一致。因此,推导了预测STN和STP的土地利用特定线性模型。 STN和STP都表现出中等的空间依赖性。 STN和STP的空间范围分别为374 km至461 km和546 km至664 km,远大于我们的采样间隔(30-50 km)。通过克里金插值法得出的STN和STP密度分布图显示出相似的模式,其中低值的中心区域被较高值的带包围,并逐渐向该区域的边界增加。在0-40 cm的上部土壤层中,STN和STP的储量估计为0.217 Pg和0.205 Pg,分别约占中国氮磷总储量的5.4%和7.3%。我们的研究表明,在考虑区域范围内STN和STP的变化时,必须考虑土地使用。 STN和STP的空间数据可作为区域氮磷模型的初始输入,并可与土壤侵蚀数据结合以评估氮磷对水生系统的损失风险。

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