Prospering Revolution of Resource Efficiency in Northeast Industrial Area in China

Despite its strong advantages in resource, technology and human resource, China＇s Northeast Industrial Area is also experiencing problems of unreasonable industrial structure, environmental pollution, and the degradation of ecological condition, etc., which prevent this area from achieving a sustainable devel- opment. Through analyzing the resource problem, the present paper proposed a strategy of circular economy for the prosperity of this are, discussed the theories of circular economy and resource recycling, and finally concluded that improving resource productivity is at the core of circular economy.     

Response of tree growth to a changing climate in boreal central Canada: A comparison of empirical,process-based,and hybrid modelling approaches

The impact of 2 × CO₂ driven climate change on radial growth of boreal tree species Pinus banksiana Lamb., Populus tremuloides Michx. and Picea mariana (Mill.) BSP growing in the Duck Mountain Provincial Forest of Manitoba (DMPF), Canada, is simulated using empirical and process-based model approaches. First, empirical relationships between growth and climate are developed. Stepwise multiple-regression models are conducted between tree-ring growth increments (TRGI) and monthly drought, precipitation and temperature series. Predictive skills are tested using a calibration–verification scheme. The established relationships are then transferred to climates driven by 1× and 2 × CO₂ scenarios using outputs from the Canadian second-generation coupled global climate model. Second, empirical results are contrasted with process-based projections of net primary productivity allocated to stem development (NPP_s). At the finest scale, a leaf-level model of photosynthesis is used to simulate canopy properties per species and their interaction with the variability in radiation, temperature and vapour pressure deficit. Then, a top-down plot-level model of forest productivity is used to simulate landscape-level productivity by capturing the between-stand variability in forest cover. Results show that the predicted TRGI from the empirical models account for up to 56.3% of the variance in the observed TRGI over the period 1912–1999. Under a 2 × CO₂ scenario, the predicted impact of climate change is a radial growth decline for all three species under study. However, projections obtained from the process-based model suggest that an increasing growing season length in a changing climate could counteract and potentially overwhelm the negative influence of increased drought stress. The divergence between TRGI and NPP_s simulations likely resulted, among others, from assumptions about soil water holding capacity and from calibration of variables affecting gross primary productivity. An attempt was therefore made to bridge the gap between the two modelling approaches by using physiological variables as TRGI predictors. Results obtained in this manner are similar to those obtained using climate variables, and suggest that the positive effect of increasing growing season length would be counteracted by increasing summer temperatures. Notwithstanding uncertainties in these simulations (CO₂ fertilization effect, feedback from disturbance regimes, phenology of species, and uncertainties in future CO₂ emissions), a decrease in forest productivity with climate change should be considered as a plausible scenario in sustainable forest management planning of the DMPF.     

Modification of an ecosystem model for filling medium-sized gaps in tower-based estimates of net ecosystem productivity

Gap filling of flux data is necessary to assist with periodic interruptions in the measurement data stream. The gap-filling model (GFM), first described in Xing et al. [Xing, Z., Bourque, C.P.-A., Meng, F.-R., Zha, T.-S., Cox, R.M., Swift, E., 2007. A simple net ecosystem productivity model for gap filling of tower-based fluxes: an extension of Landsberg's equation with modifications to the light interception term. Ecol. Model. 206, 250–262], was modified to account for the day-to-day control of net ecosystem productivity (NEP) by incorporating air and soil temperature as new controlling variables in the calculation of NEP. To account for the multiple-phase influences of air and soil temperature on plant growth we model ecosystem respiration as a function of soil and canopy respiration. The paper presents model development in an incremental fashion in order to quantify the contribution of individual model enhancements to the prediction of NEP during periods when air and soil temperature variations are important.     

Aging and demographic plasticity in response to experimental age structures in honeybees (<Emphasis Type="Italic">Apis mellifera</Emphasis> L)

Honeybee colonies are highly integrated functional units characterized by a pronounced division of labor. Division of labor among workers is mainly age-based, with younger individuals focusing on in-hive tasks and older workers performing the more hazardous foraging activities. Thus, experimental disruption of the age composition of the worker hive population is expected to have profound consequences for colony function. Adaptive demography theory predicts that the natural hive age composition represents a colony-level adaptation and thus results in optimal hive performance. Alternatively, the hive age composition may be an epiphenomenon, resulting from individual life history optimization. We addressed these predictions by comparing individual worker longevity and brood production in hives that were composed of a single-age cohort, two distinct age cohorts, and hives that had a continuous, natural age distribution. Four experimental replicates showed that colonies with a natural age composition did not consistently have a higher life expectancy and/or brood production than the single-cohort or double-cohort hives. Instead, a complex interplay of age structure, environmental conditions, colony size, brood production, and individual mortality emerged. A general tradeoff between worker life expectancy and colony productivity was apparent, and the transition from in-hive tasks to foraging was the most significant predictor of worker lifespan irrespective of the colony age structure. We conclude that the natural age structure of honeybee hives is not a colony-level adaptation. Furthermore, our results show that honeybees exhibit pronounced demographic plasticity in addition to behavioral plasticity to react to demographic disturbances of their societies.     

2000~2010年中国资源产出率测算

在中国实际管理需求的基础上,构建了中国经济系统物质流分析(Chinese Economy-wide Material Flow Analysis - CEW-MFA)模型,对传统经济系统物质流分析工具进行了补充和拓展.在该模型的基础上将中国的RP定义为一组4个指标:直接物质投入(DMI)/GDP、本地物质消耗(DMC)/GDP、物质总循环量(CR)/(CR+DMI)与CR/固体废物总产生量(TG).测算了2000~2010年时间段的物质流及RP指标,并对其中的资源经济产出效率进行了国际比较.结果表明,中国现阶段的物质代谢总量高,2010年国家的DMI接近120亿t,DMC超过107亿t.中国资源的经济产出效率与主要发达国家相比仍有较大差距.2010年的GDP/DMI与GDP/DMC分别为2260,2512元/t.循环物质总量有较大幅度的增长,综合利用率CRR(1)与CRR(2)总体保持上升趋势.CRR(1)从2000年的16%升至2010年的23%,CRR(2)由46.8%升至54.1%.     

我国城镇污水处理厂运行效率评价

污水处理厂运行效率的定量评价是当前污水处理行业管理需要解决的问题,效率研究将有助于政府制订合理政策以促进污水处理厂的发展. 基于全要素生产框架,采用DEA(数据包络分析)方法构建了污水处理厂运行效率评价模型,以固定资产总额、年运行费用、污水处理人员数和年耗电量为投入变量,以污水年处理量、BOD₅和氨氮削减量为产出变量,对2013年我国74座排放标准为一级A且处理工艺相同的城镇污水处理厂作为样本进行效率评价,基于评价结果,对运行效率和污水厂处理规模之间的关系进行检验,并对样本的投入冗余和产出不足情况进行定量分析. 结果显示:有20个样本的运行效率达到相对最优,可以成为其余效率不足样本今后改进的标杆;有10个样本纯技术效率有效但规模效率无效,需要改进其规模;85.2%的DEA无效样本规模报酬为递增状态,表明我国污水处理行业整体上处于规模收益递增的发展阶段;通过KW(Kruskal-Wallis)检验发现,样本污水处理厂具有规模效应,规模越大的运行效率越高;54个DEA无效样本存在不同程度的投入冗余和产出不足,冗余率或不足率较高的样本是今后进行效率改进的重点对象.      

Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China

The dynamics of agricultural and forestry biomass are highly sensitive to climate change, particularly in high latitude regions. Heilongjiang Province was selected as research area in North-east China. We explored the trend of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial relationship between climate factors and biomass resources. Net primary productivity (NPP) is one of the key indicators of vegetation productivity, and was simulated as base data to calculate the distribution of agricultural and forestry biomass. The results show that temperatures rose by up to 0.37°C/10a from 1961 to 2013. Spatially, the variation of agricultural biomass per unit area changed from -1.93 to 5.85 t·km^–2·a^–1 during 2000–2013. More than 85% of farmland areas showed a positive relationship between agricultural biomass and precipitation. The results suggest that precipitation exerts an overwhelming climate influence on agricultural biomass. The mean density of forestry biomass varied from 10 to 30 t·km^–2. Temperature had a significant negative effect on forestry biomass in Lesser Khingan and northern Changbai Mountain, because increased temperature leads to decreased Rubisco activity and increased respiration in these areas. Precipitation had a significant positive relationship with forestry biomass in south-western Changbai Mountain, because this area had a warmer climate and stress from insufficient precipitation may induce xylem cavitation. Understanding the effects of climate factors on regional biomass resources is of great significance in improving environmental management and promoting sustainable development of further biomass resource use.

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菌根类型对森林树木净初级生产力的影响

菌根是土壤真菌与植物根系形成的共生体,存在于绝大多数植物（90%）的根系和生境中。菌根共有7种类型,在生态系统的过程和功能方面都扮演着十分重要的角色。为了增强对菌根在森林生态系统中重要功能的理解,文章基于全球森林数据库,在全球尺度上研究了不同菌根类型对森林树木净初级生产力（NPP）的影响。结果表明,森林树木NPP随菌根类型的不同而不同,AM类型菌根森林的NPP[679.49 g.m-2.a-1（以C计）]要显著高于含ECM类型菌根的森林[479.00 g.m-2.a-1（以C计）];菌根类型的不同对森林树木地上和地下及其各组分NPP的影响和贡献也存在着显著的不同,AM类型菌根对地下NPP的贡献要高于ECM菌根,而ECM菌根对地上NPP的贡献则较大。菌根类型对地上、地下NPP组分的影响分析则表明,AM类型的菌根对树叶和细根NPP的贡献较大,而ECM类型菌根则对树木主干和枝NPP的贡献较大。可见,森林树木总体NPP及其各组分NPP都随着菌根类型的不同而存在显著的差异。     

区域能源碳足迹计算模型比较研究——以湖北省为例

能源消费排放是最主要的碳排放来源,研究能源碳足迹重要理论和现实意义。如何准确计算和表征能源碳足迹的大小成为该研究领域的重要问题。在文献回顾的基础上,文章总结了3种目前应用较广泛的计算区域能源消费碳足迹的方法和模型,它们分别是碳汇法、净初级生产力改进模型和净生态系统生产力改进模型。分别介绍了其计算公式、输入参数和计算过程。以湖北省1998-2009年能源消费碳足迹的计算为例,分别用这几种方法计算了能源消费碳足迹的总量和人均碳足迹。得到的主要结论有：研究区域能源消费碳排放量增长较快,3种方法和模型计算得到的碳足迹总量和人均量从时间序列上看,整体变化趋势一致,碳足迹亦呈现快速增长。但3种模型计算出的碳足迹大小差异较大,碳汇法模型足迹最大,净生态系统生产力改进模型次之,净初级生产力改进模型结果最小,并且碳汇法的计算结果明显大于其他两种模型。计算结果差异的原因在于,传统碳汇法模型只考虑林地的碳吸收能力,忽略了区域其他用地类型的碳吸收能力。净初级生产力改进模型考虑了各种用地类型的吸收能力,但从生态系统来说忽略了异氧呼吸的碳释放,高估了区域的碳吸收能力。几种模型都运用了固定值或者平均统计量,未能考虑地域差异,同时未考虑各统计量随时间和气候等变化而变化的可能,存在一定的不合理性,这也是今后研究值得深人研究的方向。     

中国土地生产力变化的情景分析

中国土地生产力变化态势是当前国内外学术界、决策界关注的焦点问题之一.介绍了土地生产力估算系统(ESLP)的原理与功能模块并利用该系统研究了中国土地生产力的变化态势.ESLP是在气温、降水、辐射水平、土壤质地等自然因素控制下,受土地利用方向与强度影响的,考虑土地系统不同的投入水平和管理措施的区域土地生产力估算系统.ESLP关注土地生产力变化的时空动态,能表达出不同投入管理水平下土地生产力的时空变化.文章应用ESLP研究了1988年和2000年中国土地生产力变化及其空间分异特征,将估算结果与1988年和2000年全国分县粮食产量数据的比较与验证表明,基于ESLP估算的各县土地生产力与各县粮食总产量具有很高的相关性,在一定程度上反映一个区域的粮食生产能力.在此基础上,应用ESLP预测了2010与2020年在气候变化情景下土地生产力的变化,预测结果显示,虽然局部地区土地生产力有小幅减少趋势,但从全国来看,土地生产力增长趋势明显.平均来看,2010年比2000年增长4.4%,而到2020年,土地生产力的增长幅度达到10.7%.不过在各个农业生态分区上,不同年份土地生产力变化差异较大,在2010年和2020年长江中下游区土地生产力均呈一定幅度的下降,而甘新区和西藏区只在2010年土地生产力有小幅下降.该研究结论对我国编制土地利用规划与粮食生产方面的决策具有重要的参考价值.