Changes in soil organic carbon and nitrogen in an area of Andisol following afforestation with Japanese cedar and Hinoki cypress

Abstract

To determine the rates of increase in C and N stocks in the soil and organic layers following afforestation in Andisols, we measured C and N densities in the organic and soil layers at depths of 0–5, 5–15 and 15–30?cm, together with a chronosequence analysis of 4-year-old, 14-year-old and 23-year-old Japanese cedar (Cryptomeria japonica) and 4-year-old, 12-year-old and 25-year-old Hinoki cypress (Chamaecyparis obtusa) plantations. The short-term changes in C and N were confirmed by repeated sampling 5?years after the first sampling. Tree growth, biomass accumulation and organic layers were much greater in Japanese cedar than in Hinoki cypress plantations. Soil C density (kg?m^?3) increased and bulk density decreased with stand age in the surface layer (0–5?cm). The average soil C accumulation rate was 22.9?g?C?m^?2?year^?1 for Japanese cedar and 21.1?g?C?m^?2?year^?1 for Hinoki cypress. Repeated sampling showed that the rate of increase in C in the surface soil was relatively slow in young stands and that soil C density (kg?m^?3) in the subsurface soil did not change over a 5-year period. Although N accumulated in the tree biomass and organic layers, the soil N density (kg?m^?3) did not change after afforestation. Although the andic properties of the soil and differences in the planted species did not influence the rate of increase in soil C, soil C density was expected to increase to a concentration greater than 80?g?kg^?1, possibly because of the large C accumulation capacity of Andisols.     

Environmental Change and the Sustainability of European Forests

Summary

It is some years now since forest decline was a major public concern in Europe and was one of the principal environmental issues around which international research programs were focused. A number of internationally coordinated activities were initiated in the 1980s and 1990s and have continued until now; these contributed significantly to our current understanding of forestry and to the way in which forestry policies have developed. In short, the concept of sustainable development has had an increasing influence and is now of immeasurable value in forest policy, with sustainable forest management well established as its guiding principle. This sequence of events is examined here. The extent to which understanding has advanced is remarkable; much has changed. Arguably this period gave the first indication of the extent to which forests and ecosystems globally are threatened by environmental change. On the basis of the last 20 years, it is tempting to conclude that we now have an effective institutional framework and have made excellent progress. However, some of the recorded ecosystem responses seem anomalous; there are surprises in system responses, e.g., the linkage between sulphur and nitrogen depositions and forest growth. Even more importantly some specific pollutant problems remain and will intensify, and climate change has become an environmental issue of overwhelming importance.     

基于随机森林的高寒草地地上生物量高光谱估算

草地地上生物量（Aboveground biomass,AGB）是衡量草地生产力的关键因素,准确测定草地AGB具有重要意义。高光谱因具有时效性强、不破坏草地等特点被广泛用于草地生理生态指标的测定。本研究提取和计算了海北试验站高寒草地冠层的原始光谱（Original spectrum,OR）反射率、一阶微分光谱（First derivative spectrum,FD）反射率、光谱位置面积参数（Spectral parameters of spectral position and area,PA）和植被指数（Vegetation indices,VI）4种不同类型的特征变量,使用连续投影算法（Successive projections algorithm,SPA）和递归特征消除算法（Recursive feature elimination,RFE）进行特征选择,采用随机森林算法（Random forest,RF）构建草地AGB估测模型。结果表明：在由4种特征变量分别构建的草地AGB估测模型中,基于VI的RF模型精度最高（测试集R²=0.70,RMSE=557.87 kg·ha^-1）,实测AGB与估测AGB的线性R²达到0.72;不同类型特征变量组合构建的草地AGB估测模型中,PA+VI组合的RF模型精度最高（R²=0.71,RMSE=548.97 kg·ha^-1）,实测AGB和估测AGB的线性R²达到0.73。     

豫西丘陵地区果牧结合立体生态园设计的探讨

根据豫西丘陵地区生态、经济、社会条件以及目前农牧业生产中存在的突出问题，提出果牧结合立体生态园建设是该地区生态农业发展的重要途径。并在调查和初步研究基础上设计了“畜（禽）—果”、“畜（禽）—沼—果”等果牧结合模式，分析了生态园建设研究中要探讨的具体内容。     

小麦随机多交后代中抗条锈(Puccinia striiformis)性的选择

本试验用16个被认为可能具有水平抗性的小麦品种为基础材料,采用乙烯利化学杀雄或太谷核不育为手段进行随机多交,以相对抗病性综合指数(RRCI)表示抗病性强度,研究了小麦条锈病水平抗性的遗传力及人工选择下的遗传进度,结果指出:1)随机多交的后代系统中,出现了一些抗条锈性显著高于优良亲本的系统。2)抗条锈性的遗传力较高:化     

拖拉机－挂车机组非线性系统随机响应分析

推导了随机激励下参数频变系统的统计线性化方法。利用该方法对铁牛－６５４拖拉机挂车机组非线性系统进行了平稳激励下随机振动响应的计算，计算结果表明，把拖拉机挂车机组作为非线性系统来处理可显著地提高振动分析的精度。     

基于随机森林回归算法的小麦叶片SPAD值遥感估算

使用机器学习中的随机森林(RF)回归算法构建小麦叶片SPAD值遥感反演模型。以2010—2013年江苏地区试验点稻茬小麦3个生育期(拔节、孕穗、开花)的叶片为材料,结合我国自主研发的环境减灾卫星HJ-1对研究区域进行同步监测,分析了各生育期叶片SPAD值与8种植被指数间的相关性;以0.01水平下显著相关的植被指数作为输入参数,使用RF回归算法构建了每个生育期的小麦SPAD反演算法模型,即RF-SPAD模型,以支持向量回归(SVR)和反向传播(BP)神经网络算法构建的SVR-SPAD模型和BP-SPAD模型作为比较模型,以R2和均方根误差(RMSE)为指标,分析了每个生育期3个模型的学习能力和回归预测能力,结果表明:RF-SPAD模型在3个生育期都表现出最强的学习能力,R2和RMSE在拔节期分别为0.89和1.54,孕穗期分别为0.85和1.49,开花期分别为0.80和1.71;RF-SPAD模型在3个生育期的回归预测能力都高于BP-SPAD模型,高于或接近于SVR-SPAD模型,R2和RMSE在拔节期分别为0.55和2.11,孕穗期分别为0.72和2.20,开花期分别为0.60和3.16。     

拖拉机驾驶室可靠性疲劳试验研究

分析了拖拉机驾驶室的振动环境，提出了一种用定频正弦振动等效模拟窄带随机振动的试验方法，编制了拖拉机驾驶室的室内可靠性疲劳试验载荷谱，达到以较少的试验投入实现拖拉机驾驶室振动环境室内疲劳模拟试验的目的。     

随机变量多重Weibull统计模型及参数最优估计

利用Weibull分布函数兼容性好的特点,采用混合Weibull分布模型来描述复杂随机变量分布,并按照最小二乘法原则,对统计模型参数进行最优化估计,建立复杂随机变量分布的统计模型。对某汽车发动机工作转矩统计模型的建立示例表明,多重Weibull分布适合用来表达一些复杂随机变量的统计特性,参数估计的最优化模型适用,参数优化估计过程能可靠收敛。     

拖拉机机体振动分析方法及其应用

介绍了一些拖拉机振动试验方法。通过理论分析,对拖拉机机体的竖向振动特性进行了系统的研究,建立了一套新的、较完整的振动分析方法,并通过了大量振动试验验证,提供了许多轮式拖拉机的振动数据,为驾驶座的动态设计提供了有效实用的根据。针对拖拉机的特点,建立了双输入输出线性系统力学模型,由此推导出该系统的凝聚函数,并用于定量分析多输入输出系统中各输入于输出之间的相关性。还提供了许多应用实例。