天山北麓山地-绿洲-荒漠生态系统净初级生产力空间分布格局及其季节变化

以天山北麓总面积达93 936 km~2的山地-绿洲-荒漠生态样带为例,利用生态-遥感光能利用率模型NPP-PEM,使用1 km分辨率SPOT/VEGETATION遥感等数据资料,估算了生态样带净初级生产力(NPP)空间分布及其季节变化.结果表明山地-绿洲-荒漠生态样带平均NPP为161.06 g C·m~(-2)·a~(-1),样带陆地生态系统年总碳吸收量或年总NPP累积量为15.081 Tg C(1Tg=10~(12)g),其中绿洲农田、山地草甸草原、平原荒漠草原和山地森林对的碳吸收贡献率分别为32.67%、28.16%、12.41%和9.15%.夏季是各类生态系统NPP增加量最大的季节,而沙漠由于早春短命植被覆盖而具有生长双峰现象.样带NPP空间分布及其季相变化特征是自然环境、地貌、气候以及人类生产活动长期共同作用和影响的结果,其中水热条件和基质是控制干旱区陆地生态系统NPP空间格局的决定因子.结果检验表明模拟效果较为合理,证明NPP-PEM模型在干旱生态系统的应用是可行的.研究为干旱区陆地生态系统碳循环研究开辟了途径,可为干旱区生态系统评估、监测和管理提供研究方法和参考依据.     

产业结构高度化对城市生产性空间的影响研究

以产业结构升级的主要途径--产业结构高度化为切入点,在分析产业结构高度化实现的两种方式,即产业结构横向高级化和产业结构纵向高级化的基础上,仅以空间经济为视角,运用阿隆索(W.Alonso)的竞标地租理论,分析了产业结构横向高级化、产业结构纵向高级化分别对城市工业和服务提供空间的影响,指出了城市生产性空间布局的演变有其内在规律性,以及违背产业发展规律而强行重组城市空间的危害性.只有根据产业结构高度化的实现方式并结合产业类型,有针对性地提供发展空间才有助于社会经济发展.     

浅谈可持续发展

前言 发展是人类一直热切追求的永恒主题,也是新世纪国际社会“和平与发展”共识的主要内容之一。随着人类社会的发展和社会生产力的进步,人类活动对自然生态系统的冲击日益强烈。人类在无止境地向自然攫取资源、追求满足自身奢侈需求的同时,使自然生态系统组成要素的特征发生变化（如气候变化）、结构和功能受损日甚,     

市场经济与区域经济布局

文章论述了社会主义市场经济体制下区域经济布局的作用、条件、主要内容及模式。认为，在社会主义市场经济条件下，区域经济发展是一个动态过程，处于不同发展阶段的不同区域，其布局模式也不尽相同，各地区应根据本区域的具体情况和特点，选择能促进本区域经济高速发展的模式。     

全力推进城镇低效用地再开发 促进土地资源节约集约利用

土地是人类生存、发展的基础和载体,土地是民生之本、发展之基。土地资源的有限性也使得城镇低效土地后备资源的稀缺问题越来越严重,土地资源的合理利用直接关系到社会经济的可持续发展。我国城镇化进程已经开展了十多年,并处在快速发展阶段,现阶段我国城镇用地低效问题已经呈现,现有城镇建设用地利用不合理、效率低下的问题也普遍存在,增加了经济社会对土地资源的消耗,制约了土地利用     

江苏省植物气候生产力时空演变特征

根据江苏省59站1960-2006年年平均气温、降水量资料,采用Thornthwaite Memo-riai模型计算了江苏植物气候生产力(TSPV),用EOF等统计方法分析了TSPV时空分布变化特征.结果表明:江苏省总体气候生产力水平呈南高北低的状态,随纬度增高而降低;北部气候生产力近年来不断增长,南部则较为平稳;EOF分析结果表明江苏的气候生产力主要有全省一致、苏南和苏北相反、江淮为中心等分布型.     

陕西粮食供需平衡的思考

粮食安全是确保国民经济健康、稳定、快速发展的基础。通过陕西1980年以来粮食总产与夏、秋粮单产分析。并计算陕西粮食实际生产力和光能生产潜力。对陕西粮食生产与消费总量平衡对比分析、粮食消费水平逐年变化和粮食供需平衡关系对比分析。得出陕西粮食单产目前已属较高水平，粮食增长有潜力。但短期内增长幅度有限。陕西今后粮食缺口将扩大。并将持续一段时期。     

The Soil Moisture and Net Primary Production Affected by CO_2 and Climate Change Using a Coupled Model

In this paper, a coupled model was used to estimate the responses of soil moisture and net primary production of vegetation （NPP） to increasing atmospheric CO2 concentration and climate change. The analysis uses three experiments simulated by the second-generation Earth System Model （CanESM2） of the Canadian Centre for Climate Modelling and Analysis （CCCma）, which are part of the phase 5 of the Coupled Model Intercomparison Project （CMIP5）. The authors focus on the magnitude and evolution of responses in soil moisture and NPP using simulations modeled by CanESM, in which the individual effects of increasing CO2 concentration and climate change and their combined effect are separately accounted for. When considering only the single effect of climate change, the soil moisture and NPP have a linear trend of 0.03 kg m^-2 yr^-1 and-0.14 gC m^- 2 yr^-2, respec- tively. However, such a reduction in the global NPP results from the decrease of NPP at lower latitudes and in the Southern Hemisphere, although increased NPP has been shown in high northern latitudes. The largest negative trend is located in the Amazon basin at -1.79 gC m^-2 yr^-2. For the individual effect of increasing CO2 concentration, both soil moisture and NPP show increases, with an elevated linear trend of 0.02 kg m^-2 yr^-1 and 0.84 gC m^-2 yr^-2, respectively. Most regions show an increasing NPP, except Alaska. For the combined effect of increasing atmospheric CO2 and climate change, the increased soil moisture and NPP exhibit a linear trend of 0.04 kg m^2 yr^-1 and 0.83 gC m^2 yr^-2 at a global scale. In the Amazon basin, the higher reduction in soil moisture is illustrated by the model, with a linear trend of-0.39 kg m^-2 yr^-1, for the combined effect. Such a change in soil moisture is caused by a weakened Walker circulation simulated by this coupled model, compared with the single effect of increasing CO2 concentration （experiment M2）, and a consequence of the reduction in NPP is also shown in this area, with a linear trend of-     

Influence of the Asian-Pacific Oscillation on Spring Precipitation over Central Eastern China

The linkage between the Asian-Pacific oscillation(APO)and the precipitation over central eastern China in spring is preliminarily addressed by use of the observed data.Results show that they correlate very well,with the positive(negative)phase of APO tending to increase(decrease)the precipitation over central eastern China.Such a relationship can be explained by the atmospheric circulation changes over Asia and the North Pacific in association with the anomalous APO.A positive phase of APO,characterized by a positive anomaly over Asia and a negative anomaly over the North Pacific in the upper-tropospheric temperature,corresponds to decreased low-level geopotential height(H)and increased high-level H over Asia,and these effects are concurrent with increased low-level H and decreased high-level H over the North Pacific.Meanwhile,an anticyclonic circulation anomaly in the upper troposphere and a cyclonic circulation anomaly in the lower troposphere are introduced in East Asia,and the low-level southerly wind is strengthened over central eastern China.These changes provide advantageous conditions for enhanced precipitation over central eastern China.The situation is reversed in the negative phase of APO,leading to reduced precipitation in this region.     

空间分辨率对总初级生产力模拟结果差异的影响

利用模型分析气候变化对陆地生态系统功能的影响,是当前全球变化生态学的研究热点,然而模型模拟不确定性来源之一就是空间异质性的问题。空间异质性是尺度的函数,基于气象和遥感数据驱动的生态系统过程模型（BEPS模型）,分别模拟2003-2005年中国生态系统通量观测与研究网络（ChinaFLUX）长白山站、千烟洲站、海北站及当雄站在1 km和8 km空间分辨率下的总初级生产力（GPP）的时间动态变化,并结合土地覆盖类型及叶面积指数(LAI)的差异,探讨两种空间分辨率输入数据对GPP模拟结果的影响。结果表明：① 差异性主要是由于8 km范围内混合像元导致LAI的不同,4个站点月均差异值分别为0.85、1.60、0.13及0.04;② 两种空间分辨率均能较好地反映各站点GPP的季节动态变化,与GPP观测值的相关性R²为0.79~0.97 (1 km)、0.69~0.97(8 km),月均差异值为11.46~29.65 gC/m²/month (1 km)、11.87~24.81 gC/m²/month (8 km);③ 4个通量站点在两种空间分辨率下的GPP月均差异值分别为14.43,12.05,4.79,3.22 gC/m²/month,不同空间分辨率的模拟结果在森林站的差异大于草地站,且生长季的差异大于非生长季。因此,模型在模拟大尺度、长时间序列GPP时,为了提高模型模拟效率,适度降低空间分辨率是可行的,但应尽量减小低空间分辨率对于森林生态系统以及生长季GPP模拟上的误差。