本研究通过84天的室内培养试验来揭示秸秆和养分(氮(N)、磷(P)和硫(S))联合供应下土壤新碳生成的潜在微生物机制。结果表明,与对照土壤相比,单独添加秸秆刺激微生物进行养分开采,这与C:N和C:P酶活的比例降低了8-16%相吻合。随着养分补充水平的增提高,公主岭土壤新碳生成量从1155.9增加到1722.4 mg kg-1,海伦土壤则从725.1增加到1067.5 mg kg-1。回归树分析表明β-葡萄糖苷酶(BG)、酸性磷酸酶(AP)、微生物量碳(MBC)和酸杆菌对公主岭新碳生成的相对影响分别为27.8、18.5、14.7和8.1%;对海伦新碳生成的相对影响分别为25.9、29.5、10.1和13.9%。路径分析表明酸杆菌通过调节BG、AP和MBC直接或间接对土壤新碳生成产生积极影响,其中MBC的获取更多受到AP的调节。海伦土壤的新碳生成强度低于公主岭土壤,并且海伦土壤的新碳生成与AP活性直接相关,表明土壤属性(例如SOC和pH值)对土壤新碳生成的重要性。综上,本研究揭示了添加秸秆的土壤中新碳生成与NPS养分补充的响应关系,且土壤新碳生成主要依赖于酸杆菌和变形菌的生长代谢及对BG和AP的调控。
了解磷组分特征和影响因素对提高土壤磷利用效率具有重要的意义。基于黑土、潮土和塿土的长期定位试验,选择了五种施肥方式并将其分为三组:无磷肥处理(CK/NK)、平衡施用无机肥处理(NPK/NPKS)和有机无机配施处理(NPKM)。对土壤无机磷组分和土壤性质进行了分析,研究了无机磷组分特征及无机磷组分与土壤性质的关系。结果表明,三种土壤中Ca10-P占总无机磷的比例最高,黑土、潮土和塿土分别为33.5%、48.8%、44.8%。长期施肥导致了土壤无机磷累积或耗竭的周期性变化。NPK/NPKS和NPKM处理下,黑土和潮土在施肥后期(10-20年)的磷累积量高于施肥早期(0-10年),而塿土正好相反。黑土中无机磷的累积发生在全部磷组分中,而潮土主要为Ca8-P、Fe-P和Ca10-P,塿土主要为Ca2-P、Ca8-P和O-P。CK/NK处理下,三种土壤的无机磷耗竭主要发生在施肥早期;除活性无机磷(Ca2-P)和中活性无机磷(Ca8-P、Fe-P、Al-P)外,黑土和潮土中的Ca10-P,塿土中的O-P也可被作物利用。冗余分析表明,土壤性质解释了每种土壤90%以上无机磷组分的变化,其中,土壤有机质的解释百分比在黑土、潮土和塿土中分别为43.6%、74.6%、38.2%。总之,在非酸性土壤中施用磷肥时,应考虑磷的累积速率和土壤性质驱动的无机磷组分的变化。
金融扶贫是2020年中国脱贫攻坚决胜战的重要举措,厘清以政府主导的正规金融对农户家庭收入的影响及其作用机制显得尤为重要。本文基于课题组2012年、2015年和2018年对中国西部贫困地区贵州、云南和陕西3省6个国家级贫困县592户农户家庭跟踪调查数据,评估了正规金融贷款对农户家庭收入及其作用机制做了深入研究。结果表明:第一,正规金融借贷能够显著提高西部贫困地区农户家庭收入。第二,正规金融借贷使得西部贫困地区农户家庭通过调整从事非农产业的劳动力资源配置和改变家庭“生产投资-消费”决策行为路径影响了农户收入水平和收入结构。第三,以政府为主导的正规金融贷款可能会拉大西部贫困地区农户内部的收入差距,农户本身的特征,如物质资本、人力资本和社会资本在内的资本禀赋状况是导致农户群体内部出现正规金融贷款引起增收差异的重要影响因素。本文研究结论为理解中国西部贫困地区金融扶贫效果与作用机制提供了理论依据,对中国政府完善相关政策提供了重要参考。
The concentration of soil Olsen-P is rapidly increasing in many parts of China, where P budget (P input minus P output) is the main factor influencing soil Olsen-P. Understanding the relationship between soil Olsen-P and P budget is useful in estimating soil Olsen-P content and conducting P management strategies. To address this, a long-term experiment (1991–2011) was performed on a fluvo-aquic soil in Beijing, China, where seven fertilization treatments were used to study the response of soil Olsen-P to P budget. The results showed that the relationship between the decrease in soil Olsen-P and P deficit could be simulated by a simple linear model. In treatments without P fertilization (CK, N, and NK), soil Olsen-P decreased by 2.4, 1.9, and 1.4 mg kg–1 for every 100 kg ha–1 of P deficit, respectively. Under conditions of P addition, the relationship between the increase in soil Olsen-P and P surplus could be divided into two stages. When P surplus was lower than the range of 729–884 kg ha–1, soil Olsen-P fluctuated over the course of the experimental period with chemical fertilizers (NP and NPK), and increased by 5.0 and 2.0 mg kg–1, respectively, when treated with chemical fertilizers combined with manure (NPKM and 1.5NPKM) for every 100 kg ha–1 of P surplus. When P surplus was higher than the range of 729–884 kg ha–1, soil Olsen-P increased by 49.0 and 37.0 mg kg–1 in NPKM and 1.5NPKM treatments, respectively, for every 100 kg ha–1 P surplus. The relationship between the increase in soil Olsen-P and P surplus could be simulated by two-segment linear models. The cumulative P budget at the turning point was defined as the “storage threshold” of a fluvo-aquic soil in Beijing, and the storage thresholds under NPKM and 1.5NPKM were 729 and 884 kg ha–1 P for more adsorption sites. According to the critical soil P values (CPVs) and the relationship between soil Olsen-P and P budget, the quantity of P fertilizers for winter wheat could be increased and that of summer maize could be decreased based on the results of treatments in chemical fertilization. Additionally, when chemical fertilizers are combined with manures (NPKM and 1.5NPKM), it could take approximately 9–11 years for soil Olsen-P to decrease to the critical soil P values of crops grown in the absence of P fertilizer.