AN ANALYSIS ON THE INFLUENCE OF GLOBAL CLIMATIC CHANGE UPON NATURAL ZONES AND AGRICULTURAL POTENTIALPRODUCTIVITY IN CHINA

Problemofglobalwandnghasbecomethefocusoftheworld'sattention.NotoulysCidristsindiffererecoUnrieshavedonealotofresearChwork,butalsogovemmarshaveinvestedalottoorgnruzeanIntergovemrnentalPanelonClimateChanges(IPCC).IPCCconsistsofthreeworkinggrouPs;WorkingGrou…     

Microbial production and photobleaching of CDOM in an estuarine brackish lake on Chongming Island, Shanghai

Chromophoric dissolved organic matter （CDOM）, one of the important components in freshwater and seawater ecosystems, plays a role in underwater light absorption and primary productivity. The Lake Beihu was a part of the North Branch of the Yangtze （Changjiang） River estuary in the past, but now the Lake Beihu has become the biggest manmade brackish lake in East China. The lake is a unique brackish ecosystem, however, little study deals with the fate of CDOM in it and whether this type of lake ecosystem will face eutrophication problem. This paper focuses on the transformation of CDOM, and the impact of microbe and light in the Lake Beihu. Microbial production and natural photobleaching simulative experiment was done on water samples from the Lake Beihu, yielding the following results. Water samples were collected from the Lake Beihu in May 2006. The filtrates through Whatman GF/F filters and polycarbonate membranes （μm） were exposed to microbe and microbe plus light condition, respectively. Three-dimensional excitation emission matrix （3-DEEM） fluorescence spectra were analyzed. It was shown that the amount of CDOM increased with time in the microbe exposure experiment, which means that microbes may play an important role in the production of CDOM instead of degrading CDOM. The .productivity was enhanced with increasing temperature, e.g. the value of UV260 increased by 62.4% in 4.5 days at 30℃, 26.9% at 20℃, 5.0% at 10℃. In addition, photobleaching was observed in the study as other papers reported. With the impact of microbes, the fluorescence signal of fulvic acid became stronger as the time went by. At 30℃, the fulvic acid fluorescence, which was expressed by QSU, increased by 35%-39%.     

Carbon uptake and change in net primary productivity of oasis-desert ecosystem in arid western China with remote sensing technique

Arid and semi-arid ecosystems exhibit a spatially complex biogeophysical structure. According to arid western special climate-vegetation characters, the fractional cover of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV), bare soil and water are unmixed, using the remote sensing spectral mixture analysis. We try the method to unmix the canopy funation structure of arid land cover in order to avoid the differentiation of regional vegetation system and the disturbance of environmental background. We developed a modified production efficiency model NPP-PEM appropriate for the arid area at regional scale based on the concept of radiation use efficiency. This model refer to the GLO-PEM and CASA model was driven with remotely sensed observations, and calculates not just the conversion efficiency of absorbed photosynthetically active radiation but also the carbon fluxes that determine net primary productivity (NPP). We apply and validate the model in the Kaxger and Yarkant river basins in arid western China. The NPP of the study area in 1992 and 1998 was estimated based on the NPP-PEM model. The results show that the improved PEM model, considering the photosynthetical activation of heterogeneous functional vegetation, is in good agreement with field measurements and the existing literature. An accurate agreement (R2 = 0.85, P<0.001) between the estimates and the ground-based measurement was obtained. The spatial distribution of mountain-oasis-desert ecosystem shows an obvious heterogeneous carbon uptake. The results are applicable to arid ecosystem studies ranging from characterizing carbon cycle, carbon flux over arid areas to monitoring change in mountain-oasis-desert productivity, stress and management.     

Satellite-derived primary productivity and its spatial and temporal variability in the China seas

The spatial and temporal variability of primary productivity in the China seas from 2003 to 2005 was estimated using a size-fractionated primary productivity model. Primary productivity estimated from satellite-derived data showed spatial and temporal variability. Annual averaged primary productivity levels were 564.39, 363.08, 536.47, 413.88, 195.77, and 100.09 gCm-2a-1 in the Bohai Sea, northern Yellow Sea (YS), southern YS, northern East China Sea (ECS), southern ECS, and South China Sea (SCS), respectively. Peaks of primary productivity appeared in spring (April–June) and fall (October and November) in the northern YS, southern YS, and southern ECS, while a single peak (June) appeared in the Bohai Sea and northern ECS. The SCS had two peaks in primary productivity, but these peaks occurred in winter (January) and summer (August), with the winter peak far higher than the summer peak. Monthly averaged primary productivity values from 2003 to 2005 in the Bohai Sea and southern YS were higher than those in the other four seas during most months, while those in the southern ECS and SCS were the lowest. Primary productivity in spring (March–June in the southern ECS and April–July in the other five areas) contributed approximately 41% on average to the annual primary productivity in all the study seas except the SCS. The largest interannual variability also occurred in spring (average standard deviation = 6.68), according to the satellite-derived estimates. The contribution during fall (October–January in the southern ECS and August–November in the other five areas) was approximately 33% on average; the primary productivity during this period also showed interannual variability. However, in the SCS, the winter (December–March) contribution was the highest (about 42%), while the spring (April–July) contribution was the lowest (28%). The SCS did share a feature with the other five areas: the larger the contribution, the larger the interannual variability. Spatial and temporal variability of satellite-derived ocean primary productivity may be influenced by physicochemical environmental conditions, such as the chlorophyll-a concentration, sea surface temperature, photosynthetically available radiation, the seasonally reversed monsoon, river discharge, upwelling, and the Kuroshio and coastal currents.     

陆地总初级生产力遥感估算精度分析

准确估算陆地总初级生产力GPP(Gross Primary Productivity)数值对碳循环过程模拟有重要影响。本文介绍了多种基于植被指数以及基于光能利用率的遥感GPP算法,综述了不同算法在其研究区域的估算精度;并分析了MODIS/GPP以及BESS/GPP两种遥感GPP产品在不同植被类型的估算精度。通过对比全球碳通量站网络GPP数据表明,MODIS/GPP产品在全球估算结果具显著相关性(R2=0.59)及中等标准误差(RMSE=2.86 g C/m2/day),估算精度较高的植被类型有落叶阔叶林,草地等;估算精度较低类型包括常绿阔叶林,稀树草原等。本文对GPP产品中存在的不确定性进行分析,通过综述前人研究中发现的遥感估算GPP方法中存在的问题,指出可能的提高卫星遥感GPP产品估算精度的方法及发展趋势。     

砂岩扇形板状油藏产能预测新方法

本文基于渗流力学原理,综合运用保角变换与等值渗流阻力法推导出扇形板状油藏的产能公式,该公式可以考虑断层夹角、供给边界半径以及井在油藏中的位置等因素对产能的影响。通过与数值方法进行对比,验证了本文产能计算方法的准确性。为指导生产实践,采用本文方法对扇形油藏的产能进行敏感性分析,得到以下结论:产能指数随着供给边界半径的增大而减小,随着井到断层交点距离、断层夹角、井到断层交点连线与断层夹角的增大而增大,断层夹角对产能的影响最大,其次为井到断层交点距离、供给边界半径、井到断层交点连线与断层夹角。     

Comparison of the Application of Different Process-based Models in the Study of Spatio-temporal Patterns of Ecosystem Service Value

Quantitative assessments of ecosystem service value (ESV) are of great significance for rational allocation of environmental resources and making regional ecological protection decisions. The method of equivalence factor per unit area is widely used for this purpose because of its simple algorithm. However, ESV is also affected by biotic and environmental factors (e.g., net ecosystem productivity (NEP) or precipitation), which are difficult to obtain at the regional scale, leading to uncertainty in ESV estimations. In this study, according to the equivalent factor modified by precipitation and NEP from four state-of-the-art process-based productivity models, i.e., CLM4.0, LPJDGVM, LPJGUESS and ORCHIDEE, we explored the temporal and spatial patterns of ESV of 15 administrative regions in northern China. The results show that the simulation accuracy of different models varied among four representative ecosystem types, i.e., typical steppe in northern China, alpine steppe in northwest China, farmland ecosystem in central China, and forest in northeast China, implying that model-based ESV estimates are ecosystem-specific. The ESV tends to decline from northeast to southwest in northern China. Regions with dense vegetation usually had high ESV due to better hydrological and thermal conditions. Low vegetation coverage areas, such as Qinghai and Xinjiang, had higher ESV because of their large geographical areas. The central and eastern developed regions without abundant natural resources had lower ESV due to their lower NEP. For different categories of ecosystem services, the regulation services (mainly water flow regulation services and climate regulation services) contributed the most to ESV. For the temporal dynamics, the total ESV of the 15 provinces, autonomous regions and municipalities showed an insignificant downward trend over the years. The regions with increasing trends of ESV were distributed in northwestern China, while pixels with decreasing trends of ESV were concentrated in northeastern China. Land use cover change may be the most important factor controlling the temporal dynamics of ESV. Our results can provide support for the enaction of reasonable strategies for ecological protection and economic development in northern China.     

陆地生态系统模拟研究中IBIS模型开发应用的回顾和展望

全球动态植被模型(DGVM)是研究生态系统复杂过程和全球变化的强有力工具。本文基于过去20多年全球已发表的文献,对得到广泛关注和应用的DGVM之一——集成生物圈模拟器(Integrated Biosphere Simulator,IBIS)的开发、改进、发展及应用进行了总结。IBIS是一个在全球变化等多领域中有着广泛应用的模型。自1996年诞生以来,IBIS在陆地生态系统的碳、氮、水循环,植被动态、陆气耦合、水域系统耦合和气候变化影响等多个方面取得了验证和应用。本文较为系统地阐述了IBIS模型在V2.5版本后的不同发展方向,主要针对IBIS模型在水文过程(蒸散、土壤水分、地下水、径流)、植被动态(植被功能型、土地覆盖变化)、植被生理过程(植被物候、光合作用、植被生长、碳分配)、土壤生物地球化学过程(土壤碳氮循环及反馈、温室气体排放等)以及包括土地利用变化、干扰与管理等人类活动过程等方面的改进与发展进行了全面的综述;在此基础上,对模型在生态系统生产力、碳水收支、水分利用效率、温室气体排放、自然干扰(干旱、火灾、虫害)和人类活动(土地利用变化、农业经营)等方面的应用,以及模型的技术性改进方面进行了回顾;最后对模型的前景和进一步发展提出了一些见解。     

草鱼不同混养系统中细菌生产力的初步研究

利用陆基实验围隔,采用原位培养法,对比研究5种草鱼(Ctenopharyngodon idellus)混养系统中细菌生产力的状况。结果表明,细菌生产力波动在(85.22±9.68)~(899.24±29.67)μg C·L-1·d-1,平均为(442.33±210.51)μg C·L-1·d-1。总体上,各处理组细菌生产力随时间呈现先升高后降低的趋势,在8月份达到最高值。其中,草鱼、鲢鱼和鲤鱼的三元混养模式中的细菌生产力显著高于其它处理组(P0.05)。细菌生产力总体上与水体初级生产力、溶解有机碳(DOC)和颗粒有机碳(POC)含量及水温均呈显著正相关,与水体磷酸盐含量呈显著负相关。通过主成分分析(PCA)发现,养殖前期水体无机氮(DIN)、DOC和POC含量对细菌生产力的贡献率高达44.058%,养殖中期DOC和POC含量对细菌生产力贡献率降为32.693%,而养殖后期DIN、DOC和POC含量对细菌生产力的贡献率为45.921%。研究表明,在养殖前期,DIN、DOC、POC是细菌生产力的关键因素;DOC、POC的重要作用使得养殖中期细菌生产力处在较高水平,但PO4-P含量成为限制因素;低温限制了浮游植物的初级生产力,使得养殖后期较高的营养元素含量只能维持细菌较低的生产力。     

Creative industries agglomeration,regional innovation and productivity growth in China

This paper falls into the broad area of economic geography and economics of creativity,and it presents an alternative approach to explain why total factor productivity(TFP)growth is different across China′s regions.It establishes an empirical model to estimate the spatial agglomeration effects of creative industries on regional TFP growth,using China′s provincial panel data during the period of 2003 to 2010.We found that the creative industries agglomeration(CIA)has significant and positive impact on regional TFP growth.The result also implies that the CIA can facilitate regional TFP growth through promoting regional innovation instead of improving regional efficiency.Therefore,we argue that policy makers should take some measures to retain and establish more creative zones.