技术潜在效益认知与农业废弃物循环技术采纳行为——以桃枝废弃物循环为例

为推进农业废弃物循环技术采纳，提高资源利用效率，降低农业面源污染，以北京市平谷区大桃种植户的微观调研数据为样本，运用结构方程模型实证分析了技术潜在效益对桃枝废弃物循环技术采纳行为的影响。结果表明:1)社会效益认知、生态效益认知与采纳行为有正相关关系，作用机制生态效益认知>社会效益认知，经济效益与采纳行为呈负相关关系；2)社会效益认知对经济效益认知有正向影响，经济效益认知对生态效益认知有正向影响；3)促进农户对桃枝废弃物循环技术的采纳行为，将提高农户对该项技术的忠诚度。因此，本研究提出要发挥邻里带动作用，提高农户对技术效益的认知程度，通过制定差异化政策、加强产学研融合，促进农户对农业废弃物循环技术的采纳行为，推动绿色农业发展。     

基于最大熵（MaxEnt）模型对西北地区2种红砂属植物潜在适宜区预测分析

基于黄花红砂与五柱红砂的现有分布数据，利用地理信息系统（ArcGIS）技术与最大熵（MaxEnt）模型软件，对2种红砂属植物在3个时期的潜在适宜分布区进行模拟。结果表明:1）五柱红砂的潜在适宜分布区主要在青海地区、新疆南疆地区以及甘肃部分地区；黄花红砂的潜在适宜分布区主要集中在宁夏地区、内蒙古地区、甘肃地区以及新疆与青海部分地区。2种红砂属植物在3个时期的潜在适宜分布区有所增加。黄花红砂的潜在适宜区朝着东北方向移动，五柱红砂的潜在适宜区出现收缩现象。2种红砂属的低适宜区相比较高适宜区与较适宜区变化较大。2）黄花红砂与五柱红砂通过MaxEnt模型运算出的AUC值均>0.9，表明MaxEnt模型预测精度很高。可以用于2种红砂属植物的潜在适宜分布区的预测。3）控制黄花红砂潜在分布的关键环境变量为最湿月降水量、最暖季度降水量和最湿季度降水量，影响五柱红砂潜在分布的关键环境变量为海拔、等温性和温度季节性变化。上述研究结果对2种红砂属植物资源保护利用与未来分布趋势提供了重要的指导意义。     

资本禀赋、技术认知与农户耕地低碳利用意愿

耕地低碳利用对于减少农业温室气体排放,促进农业持续健康发展具有积极意义。建立资本禀赋、技术认知的理论分析模型和研究假说,利用湖北省347户农户的调研数据,在测度农户资本禀赋、耕地低碳利用技术认知的基础上,采用Logit模型、中介效应模型、调节效应检验方法,就资本禀赋、技术认知与农户耕地低碳利用意愿的关系进行实证研究。结果发现,资本禀赋不仅对农户耕地低碳利用意愿在1%水平上有显著的直接正向影响,还会通过技术认知这一中介变量在1%水平上产生显著的间接正向影响,环境素养在农户自我效能认知和耕地低碳利用意愿间发挥正向调节作用。据此,建议从经济资本、社会资本、文化资本3个角度提升农户的资本禀赋,通过多种渠道提升农户对耕地低碳利用的认知水平,提高农户环境素养。     

黄土丘陵区不同土地类型下土壤养分特征—基于生态化学计量学

为探讨黄土丘陵区不同土地类型下土壤有机碳（SOC）、全氮（TN）、全磷（TP）含量特征，本研究以黄土丘陵区典型小麦地、云杉林地、苜蓿地为对象，基于实测数据，采用方差、相关统计分析，研究不同土地类型、不同土层深度（0~10 cm、10~20 cm、20~40 cm、40~60 cm、60~80 cm、80~100 cm）土壤SOC、TN、TP含量及其化学计量比。结果表明：3种不同土地类型土壤SOC、TN和TP含量均随土层深度增加而降低，其平均含量分别为12.19、0.33和0.48 g·kg^-1，小麦地和苜蓿地土壤SOC、TN和TP空间变异性较云杉林地偏大。SOC、TN含量为云杉林地>小麦地>苜蓿地，TP含量为云杉林地>苜蓿地>小麦地。土壤SOC、TN和TP间均存在显著正相关关系。小麦地C/P显著（P<0.05）高出苜蓿地41.96%，N/P显著高出云杉林地、苜蓿地28.57%、36.19%。3种不同土地类型土壤化学计量比（C/N、C/P、N/P）均值分别为：39.61、31.53、0.83，且其C/N大于中国平均值（12.3），C/P、N/P较全国平均值（61.0、5.2）明显偏小，黄土丘陵区C/N较稳定。土地类型对土壤C、N、P含量及其化学计量比存在不同程度的影响，合理调整土地利用结构有助于土壤养分的存留，有利于土壤生态的恢复。     

The positive relationship between soil quality and crop production: A case study on the effect of farm compost application

In order to ensure sustainable agriculture, and for evaluating the effects of management practices on soil processes, tools for assessing soil quality are required. The development and use of a multiparameter index, which includes a wide range of soil properties, have been tested and found useful by several studies. However, soil quality measurements are ‘stand-alone’ tools unless they are either linked to important soil functions, used to characterize (agro)ecosystems or used to predict sustainability or productivity. In our study, the relationship between crop production and soil quality was assessed in a six year old field experiment studying the effect of farm compost (FC) amendment in a crop rotation of potato, fodder beet, forage maize and Brussels sprouts. To justify the hypothesis that repeated FC amendment results in both improved soil quality and consequently higher crop yields, a wide range of chemical, biological and physical soil properties were measured and integrated into a soil quality index (SQI). Next, crop yields were used as a functional goal to verify the causal relationship between SQI and crop production. Our results showed that there were significant changes in chemical, physical and biological soil quality as a result of repeated FC amendment. This was evidenced for example by a remarkable increase in both soil organic carbon (SOC) and total N content. Microbial biomass, the relative amount of bacterivorous nematodes and earthworm number were significantly increased as well and, together with SOC and total N, indicated as the dominant factors in assessing soil quality. The integration of these key indicators into the SQI revealed higher SQI values when FC was applied. In addition, crop yields were increased in all FC treated plots by which SOC was pointed out as the most important indicator influencing crop production. Finally, a causal relationship was observed between soil quality and the yield of potato and fodder beet. We conclude that our SQI may be a promising and useful tool to compare different (soil) management practices in relation to a strategic, regional goal, e.g., sustainable high yields. Before generalizing, we recommend a thorough validation of our SQI in other long-term field experiments.     

The importance of sub‐peat carbon storage as shown by data from Dartmoor,UK

Peatlands are highly valued for their range of ecosystem services, including distinctive biodiversity, agricultural uses, recreational amenities, water provision, river flow regulation and their capacity to store carbon. There have been a range of estimates of carbon stored in peatlands in the United Kingdom, but uncertainties remain, in particular with regard to depth and bulk density of peat. In addition, very few studies consider the full profile with depth in carbon auditing. The importance of sub‐peat soils within peatland carbon stores has been recognized, but remains poorly understood and is included rarely within peatland carbon audits. This study examines the importance of the carbon store based on a study of blanket peat on Dartmoor, UK, by estimating peat depths in a 4 × 1 km survey area using ground penetrating radar (GPR), extraction of 43 cores across a range of peat depth, and estimation of carbon densities based on measures of loss‐on‐ignition and bulk density. Comparison of GPR estimates of peat depth with core depths shows excellent agreement, to provide the basis for a detailed understanding of the distribution of peat depths within the survey area. Carbon densities of the sub‐peat soils are on average 78 and 53 kg C/m³ for the overlying blanket peat. There is considerable spatial variability in the estimates of total carbon from each core across the survey area, with values ranging between 56.5 kg C/m² (1.01 m total depth of peat and soil) and 524 kg C/m² (6.63 m total depth). Sub‐peat soil carbon represents between 4 and 28 per cent (mean 13.5) of the total carbon stored, with greater values for shallower peat. The results indicate a significant and previously unaccounted store of carbon within blanket peat regions which should be included in future calculations of overall carbon storage. It is argued that this store needs to be considered in carbon audits.     

Bioavailability of dissolved organic carbon across a hillslope chronosequence in the Kuparuk River region,Alaska

Dissolved organic matter (DOM) represents an important component of carbon and nutrient cycling in arctic ecosystems. In northern Alaska, DOM production and microbial activity differ among landscapes with varied glaciation histories with lower rates on younger landscapes. In addition, within the region, soil DOM concentrations vary at the scale of hillslope toposequences, with higher concentrations in upslope than streamside positions. However, it is unknown whether variation in DOM production quality among and within landscapes linked to patterns in DOM quality. To answer this question, we conducted a study of DOM biodegradability within and among hillslopes of different landscape age. We examined rates of DOM decomposition and several indices of the quality of water-extracted DOM collected from soils in the summer. A variety of methods indicated that DOM quality generally was consistent across hillslope positions and among landscape ages. For example, DOM fluorescence index, an index of quality for chromophoric DOM, did not vary significantly across all hillslope positions or landscape ages. There were no significant differences among landscape ages or hillslope positions in DOM specific UV absorbance, in rates of DOM mineralization, or in DOM decomposition, indicating that DOM quality was consistent regardless of its source or position along hillslope flow paths. This suggests that despite many potential sources of variation within and among arctic hillslopes linked to differences in vegetation, hydrology, microclimate, and microbial activity, there is little variation in growing-season soil DOM quality. Microbial processing of DOM within arctic hillslopes may lead to a convergence in growing season DOM quality resulting in little spatial variation. Approximately 10–20% of the growing season DOM is labile in tundra soils, slightly higher that the proportion that is labile in arctic rivers during the summer.