循环经济理论思索

循环经济是对近现代人类社会长期、大规模、高强度、未善待大自然的开发活动导致自然资源和生态环境逼近其耐受极限而进行反思的产物.从经济-社会-科技-自然多元复合人工自组织系统角度,研究了循环经济的科学内涵,指出循环经济是建立在组织结构协同基础上的物质循环与能量梯级利用,是集约经济的高级形态和理想模式.针对循环经济包含的若干属性特征,论述了5个基本理论问题,包括守恒与平衡、循环与协调、互动整合与倍增效应、聚集经济与产业集群、生态学基本原理应用和生态系统服务.并就生态工业系统规划设计涉及的基本方法、关键环节、人力投入等给出了政策建议.      

长短桩复合地基承载力发挥系数取值研究

根据水泥土长短桩复合地基试验结果,得到了考虑荷载水平的水泥土长短桩复合地基承载力计算公式。然后,考虑复合地基中桩体、桩间土和复合地基沉降量之间的相互关系,利用现场载荷试验成果,对单桩复合地基和长短桩复合地基的桩间土承载力发挥系数和合理的s/b取值范围进行了对比研究,得到了长短桩复合地基桩间土承载力发挥系数的计算方法。结果表明:长短桩复合地基桩体先于桩间土出现破坏,桩体极限荷载点对应的复合地基s/b值为s/b的上限;当垫层模量Ec为100M Pa时,长短桩复合地基s/b上限为0.0034,对应的桩间土承载力发挥系数为0.29。     

Elevated CO2 changes the moderate shade tolerance of yellow birch seedlings

To demonstrate the existence of light thresholds in plant growth and to examine the effects of elevated CO2 on the shade tolerance of a tree species, an experiment consisting of a completely randomized design for a total of 96 yellow birch (Betula alleghaniensis Britton) seedlings was conducted with 3 light levels (2.9%, 7.7%, 26.1% of full sunlight)×2 CO2 levels (350 and 700±10 ppm) with 4 replications in a phytotron. The study proved that thresholds exist and they vary in different plant organs. In ambient CO2, the thresholds were 13.3%, 18.7%, 15.0%, 15.2%, and 15.6% of full sunlight for stem, leaf, root, total plant biomass, and the averaged value, respectively. In 700 ppm CO2, the corresponding thresholds were 16.7%, 21.3%, 18.1%, 21.7% and 19.5% for stem, leaf, root, total plant biomass, and the averaged value, respectively. The lowest threshold in the stem is an indicator of the minimal light intensity for regular growth for seedlings of this species. Below this threshold, light-stressful growth occurs. The result of a paired t-test indicated that the thresholds in elevated CO2 were significantly higher than in ambient CO2. This suggests that yellow birch will lose its moderate shade tolerance, evolutionally becoming a shade-intolerant species, and that it may become more difficult to naturally regenerate in the future.     

人工园林大面积种植区土地利用/覆被变化对生态系统服务价值影响

近10a来由于经济利益的驱动,橡胶、茶园、咖啡和桉树等人工园林在云南省西南部西盟县大规模种植,使土地利用结构和布局发生了较大变化,影响了种植区的生态系统服务价值。以西盟县为研究对象,基于2000年、2005年和2010年的遥感影像解译的土地利用/覆被数据,参照"中国生态系统单位面积生态服务价值当量",修订了西盟县生态系统单位面积服务价值,结合敏感度分析,探讨了土地利用/覆被变化及其对生态系统服务价值的影响。结果表明:(1)2000~2010年西盟县的耕地、园地、水域和乡镇用地面积增加,林地和草地面积减少,西南部的土地利用/覆盖类型相互转化主要表现在林地和耕地转化为园地,而东北部表现在林地转化为耕地;(2)从时间上看,生态系统服务价值呈减少趋势,10 a间净减少106.29×106元,林地的生态系统服务价值始终最高;(3)研究期内,只有食物生产服务有价值量的增加,其余生态系统服务的价值量均为不同程度的减少;(4)从空间上看,西盟县生态系统服务价值东北部和东南部高,西部、中部和东部低。力所乡生态系统服务价值有小幅度增加,其余乡镇均呈减少趋势。西盟县以经济利益为目的的发展模式给生态系统服务和可持续发展带来巨大压力,在一定程度上使区域整体生态效应下降。因此,西盟县的发展应该在保证生态系统稳定的前提下,适当发展园地,同时优化土地利用结构,在生态效益和经济利益之间,找到双赢的平衡点。     

黄河三角洲湿地主导生态服务功能价值估算

黄河兰角洲湿地是全球暖温带最典型的河口三角洲湿地,具有多种生态服务功能.本文依据每种生态功能的特点和作用机理,分别运用生态经济学、环境经济学或资源经济学的方法对各主导生态服务功能的价值进行了量化估算.结果表明:在黄河三角洲湿地10项主导生态服务功能中,蓄水调洪和降解污染物的功能价值最大;黄河三角洲湿地单位面积价值大约是全国湿地平均单位面积价值的10倍,其中自然湿地的单位面积价值远高于人工湿地的单位面积价值.本研究结果使人们直观地看到了湿地给人类带来的福利,为湿地生态资源的合理定价、有效补偿提供了科学依据.     

江汉平原农地资源价值研究

农地价值的货币化计量为缓解我国农地流失形势。修订和完善农地分等定级成果、征地补偿制度，制定和实施农地生态管护政策提供理论与实践依据。在随机抽样调查的基础上．运用收益还原法及CVM对江汉平原不同类型农地资源的市场价值和非市场价值进行评估．研究表明：江汉平原包括耕地，圈地、林地及水域用地在内的农地资源的非市场价值现值达1246．82亿元，是农地资源价值构成中无法忽略的重要组成部分。其中．耕地资源整体价值达4563．28亿元，无法通过市场交易体现的非市场价值有545．30亿元．占耕地价值构成的11．95％；园地及水域用地的价值分别为623．09亿元和3210．06亿元，非市场价值所占比例份额分别为32．21％和8，57％；林地资源的非市场价值225．64亿元，折合非市场价值约85704元／hm^2。     

黄河上游玛曲生态系统服务价值的估算和生态环境管理的政策设计

黄河上游玛曲草地生态系统的保护对整个黄河流域的生态安全意义重大。本文参考Costanza等人提出的方法和谢高地等人的研究成果估算了玛曲的生态系统服务价值，结果为96.25亿元／年，远高于经济产品1.93亿元／年的现价。基于草地资源可持续利用和牧民生活水平不断改善的要求，提出了以改变超载过牧为目标、以生态补偿为核心内容的草地生态系统管理的政策设计，生态补偿的标准应不少于0.93亿元／年。生态环境管理的政策内容主要包括：产业开发和产业转型、生态移民和牧民定居、草场管理、技术推广以及控制人口过快增长和促进社会进步等。     

技术进步路径选择与中国制造业出口隐含碳排放强度

本文采用考虑反馈性出口隐含碳的MRIO模型,测算了2000—2011年中国14个制造业行业出口隐含碳排放强度;在此基础上,基于全球价值链(GVC)分工地位的视角,理论分析并实证检验了不同技术进步路径对中国制造业出口隐含碳排放强度的影响。研究发现:中间品进口、自主研发、模仿创新显著降低了中国制造业出口隐含碳排放强度,而国外技术引进和外商直接投资(FDI)对中国制造业出口隐含碳排放强度的影响不显著;提升中国制造业在GVC中的国际分工地位能够显著降低其出口隐含碳排放强度。进一步研究发现,不同技术进步路径对中国制造业出口隐含碳排放强度的作用效果受到制造业在GVC中的国际分工地位的影响,并表现出明显的门槛特征,即只有中国制造业在GVC中的分工地位越过门槛值后,技术进步路径才能显著降低中国制造业出口隐含碳排放强度。此外,将制造业分为知识密集型、资本密集型和劳动密集型三类,发现不同技术进步路径对中国制造业出口隐含碳排放强度还存在着显著的行业差异。因此,中国制造业应充分发挥中间品进口、自主研发、模仿创新在降低中国制造业出口隐含碳排放强度中的作用,在引进FDI和国外技术的过程中,优先考虑引进发达国家的先进低碳制造技术和清洁生产技术。同时,中国制造业还应积极培育自身竞争优势,构建自我主导的国内价值链和区域价值链体系,主动嵌入全球创新链,提升中国制造业在GVC中的国际分工地位。此外,政府应根据技术创新和引进政策在不同制造业行业中的执行效果,有所侧重地制定和实施相关政策。     

Carbon emission reduction and cost–benefit of methane digester systems on hog farms in China

Three different sizes of hog farms were selected to analyze the carbon emissions reduction and the cost–benefit of three methane digester systems. The sizes of the digesters are 2,200, 2,200 and 800 m³, respectively. The sales of slaughter hogs from them are 50,000, 35,000 and 10,000 head, respectively. The carbon emissions reductions were 5,237, 4,017, and 1,334 tons, respectively. The results show that while the methane digester systems have a significant effect on carbon emissions reduction, it is difficult to operate the systems sustainably. If the carbon emissions reduction can be traded at high enough prices in the carbon offset markets, then the systems will be profitable and sustainable. Newly established China's domestic carbon offset market could provide this possibility, but more government support is needed. In addition, this study shows that scale economies make the digester adoption relatively more profitable for larger farms than smaller ones.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.