Beraud J, Fine P, Yermiyahu U, Keinan M, Rosenberg R, Hadas A, Bar-Tal A
Department of Soil Chemistry and Plant Nutrition, Institute of Soil, Water and Environmental Sciences, The Volcani Center, Agricultural Research Organization, P.O.B. 6, Bet Dagan 50250, Israel.
J Environ Qual. 2005 Mar-Apr;34(2):664-75. doi: 10.2134/jeq2005.0664.
Environmentally sound management of the use of composts in agriculture relies on matching the rate of release of available N from compost-amended soils to the crop demand. To develop such management it is necessary to (i) characterize the properties of composts that control their rates of decomposition and release of N and (ii) determine the optimal amount of composts that should be applied annually to wheat (Triticum aestivum L.). Carbon and N mineralization were measured under controlled conditions to determine compost decomposition rate parameters, and the NCSOIL model was used to derive the organic wastes parameters that control the rates of N and C transformations in the soil. We also characterized the effect of a drying period to estimate the effects of the dry season on C and N dynamics in the soil. The optimized compost parameters were then used to predict mineral N concentration dynamics in a soil-wheat system after successive annual applications of compost. Sewage sludge compost (SSC) and cattle manure compost (CMC) mineralization characteristics showed similar partitioning into two components of differing ease of decomposition. The labile component accounted for 16 to 20% of total C and 11 to 14% of total N, and it decomposed at a rate of 2.4 x 10(-2) d(-1), whereas the resistant pool had a decomposition rate constant of 1.2 to 1.4 x 10(-4) d(-1). The main differences between the two composts resulted from their total C and N and inorganic N contents, which were determined analytically. The long-term effect of a drying period on C and N mineralization was negligible. Use of these optimization results in a simulation of compost mineralization under a wheat crop, with a modified plant-effect version of the NCSOIL model, enabled us to evaluate the effects of the following factors on the C and N dynamics in soil: (i) soil temperature, (ii) mineral N uptake by plants, and (iii) release of very labile organic C in root exudates. This labile organic C enhanced N immobilization following application, and so decreased the N available for uptake by plants.
农业中堆肥使用的环境友好型管理依赖于使堆肥改良土壤中有效氮的释放速率与作物需求相匹配。为制定这样的管理方法,有必要:(i)描述控制堆肥分解速率和氮释放速率的特性;(ii)确定每年应施用于小麦(Triticum aestivum L.)的堆肥最佳用量。在受控条件下测量碳和氮矿化以确定堆肥分解速率参数,并使用NCSOIL模型推导控制土壤中氮和碳转化速率的有机废物参数。我们还描述了干燥期的影响,以估计旱季对土壤中碳和氮动态的影响。然后,将优化后的堆肥参数用于预测连续每年施用堆肥后土壤 - 小麦系统中矿质氮浓度动态。污水污泥堆肥(SSC)和牛粪堆肥(CMC)的矿化特性显示出类似的划分,分为两种分解难易程度不同的组分。易分解组分占总碳的16%至20%和总氮的11%至14%,其分解速率为2.4×10⁻² d⁻¹,而难分解库的分解速率常数为1.2至1.4×10⁻⁴ d⁻¹。两种堆肥之间的主要差异源于通过分析测定的它们的总碳、总氮和无机氮含量。干燥期对碳和氮矿化的长期影响可忽略不计。利用这些优化结果,通过NCSOIL模型的改良植物效应版本模拟小麦作物下的堆肥矿化,使我们能够评估以下因素对土壤中碳和氮动态的影响:(i)土壤温度;(ii)植物对矿质氮的吸收;(iii)根系分泌物中非常易分解有机碳的释放。这种易分解有机碳在施用后增强了氮的固定,从而减少了植物可吸收的氮。