珠江三角洲耕地土壤质量演化及其机制

通过对代表性区域的调查研究,探讨了珠江三角洲耕地土壤质量演化的趋势及其形成机制.结果表明,与第二次土壤普查时期(1980)比较,珠江三角洲耕地土壤有机质全氮稳中有降,土壤速效氮(NO_3~--N)、速效磷含量显著增加,已达丰富水平,土壤速效钾含量有所增加、但仍偏低,土壤有效镁、硼、钼仍严重缺乏,部分土壤有效硅、锰缺乏;伴随大量水田改种蔬菜、水果等经济作物而产生的耕作制度变化、利用强度增加以及相应的化学氮、磷肥料过量投入、蔬菜地施用石灰等管理措施等,是导致珠江三角洲耕地土壤有机质下降和产生新的养分非均衡化的主要影响因素.     

Coupling a land use model and an ecosystem model for a crop-pasture zone

This paper describes the development of a land use model coupling ecosystem processes. For a given land use pattern in a region, a built-in regional ecosystem model (TESim) simulates leaf physiology of plants, carbon and nitrogen dynamics, and hydrological processes including runoff generation and run-on re-absorption, as well as runoff-induced soil erosion and carbon and nitrogen loss from ecosystems. The simulation results for a certain period from 1976 to 1999 were then used to support land use decisions and to assess the impacts of land use changes on environment. In the coupling model, the land use type for a land unit was determined by optimization of a weighted suitability derived from expert knowledge about the ecosystem state and site conditions. The model was applied to the temperate crop-pasture band in northern China (CCPB) to analyze the interactions between land use and major ecosystem processes and functions and to indicate the added value of the feedbacks by comparing simulations with and without the coupling and feedbacks between land use module and ecosystem processes. The results indicated that the current land use in CCPB is neither economical nor ecologically judicious. The scenario with feedbacks increased NPP by 46.78 g C m⁻² a⁻¹, or 32.23% of the scenario without feedbacks, also decreased soil erosion by 0.65 kg m⁻² a⁻¹, or 23.13%. Without altering the regional land use structure (proportions of each land use type). The system developed in this study potentially benefits both land managers and researchers.     

Linking species- and ecosystem-level impacts of climate change in lakes with a complex and a minimal model

To study the interaction between species- and ecosystem-level impacts of climate change, we focus on the question of how climate-induced shifts in key species affect the positive feedback loops that lock shallow lakes either in a transparent, macrophyte-dominated state or, alternatively, in a turbid, phytoplankton-dominated state. We hypothesize that climate warming will weaken the resilience of the macrophyte-dominated clear state. For the turbid state, we hypothesize that climate warming and climate-induced eutrophication will increase the dominance of cyanobacteria. Climate change will also affect shallow lakes through a changing hydrology and through climate change-induced eutrophication. We study these phenomena using two models, the full ecosystem model PCLake and a minimal dynamic model of lake phosphorus dynamics. Quantitative predictions with the complex model show that changes in nutrient loading, hydraulic loading and climate warming can all lead to shifts in ecosystem state. The minimal model helped in interpreting the non-linear behaviour of the complex model. The main output parameters of interest for water quality managers are the critical nutrient loading at which the system will switch from clear to turbid and the much lower critical nutrient loading – due to hysteresis – at which the system switches back. Another important output parameter is the chlorophyll-a level in the turbid state. For each of these three output parameters we performed a sensitivity analysis to further understand the dynamics of the complex model PCLake. This analysis showed that our model results are most sensitive to changes in temperature-dependence of cyanobacteria, planktivorous fish and zooplankton. We argue that by combining models at various levels of complexity and looking at multiple aspects of climate changes simultaneously we can develop an integrated view of the potential impact of climate change on freshwater ecosystems.     

Combining a generic process-based productivity model and a statistical classification method to predict the presence and absence of tree species in the Pacific Northwest,U.S.A.

Although long-lived tree species experience considerable environmental variation over their life spans, their geographical distributions reflect sensitivity mainly to mean monthly climatic conditions. We introduce an approach that incorporates a physiologically based growth model to illustrate how a half-dozen tree species differ in their responses to monthly variation in four climatic-related variables: water availability, deviations from an optimum temperature, atmospheric humidity deficits, and the frequency of frost. Rather than use climatic data directly to correlate with a species’ distribution, we assess the relative constraints of each of the four variables as they affect predicted monthly photosynthesis for Douglas-fir, the most widely distributed species in the region. We apply an automated regression-tree analysis to create a suite of rules, which differentially rank the relative importance of the four climatic modifiers for each species, and provide a basis for predicting a species’ presence or absence on 3737 uniformly distributed U.S. Forest Services’ Forest Inventory and Analysis (FIA) field survey plots. Results of this generalized rule-based approach were encouraging, with weighted accuracy, which combines the correct prediction of both presence and absence on FIA survey plots, averaging 87%. A wider sampling of climatic conditions throughout the full range of a species’ distribution should improve the basis for creating rules and the possibility of predicting future shifts in the geographic distribution of species.     

泥炭沼泽土壤酶活性对水热条件变化的响应及其与CO_2释放通量的关系——以小兴安岭地区为例

采用实验室培养的方法,研究了小兴安岭地区两类典型的泥炭沼泽:苔草型泥炭沼泽和泥炭藓型泥炭沼泽中几种水解酶活性(β-葡萄糖苷酶、酚氧化酶)对不同温度和水位变化的响应,以及与CO_2释放通量的相瓦关系.结果表明:β-葡萄糖苷酶活性在两类泥炭沼泽中受多种因素制约,在一定湿度范围内受水位控制较明显,当土壤湿度降低到一定程度时,温度对土壤酶活性影响增强.酚氧化酶活性与温度密切相关,但对温度变化的响应存在明显的季节性差异.相对而言,苔草型泥炭沼泽中β-葡萄糖苷酶和酚氧化酶活性显著高于相同培养条件下泥炭藓型泥炭沼泽.总体上,苔草型泥炭沼泽中水解酶活性较泥炭藓型泥炭沼泽中高,但是其CO_2释放通量却低于泥炭鲜型泥炭沼泽,表明与有机碳分解有关的水解酶的活性高低不能作为解释泥炭沼泽CO_2释放通量大小的唯一指标.     

大气颗粒物“二重源解析”技术的误差分析

"二重源解析"模型计算结果的误差是采样误差、样品处理误差、化学组分分析误差、数据处理误差以及数学模型误差等所有误差的积累。提出了"二重源解析"解析结果的相对误差和标准偏差表达式,并用之计算了某市利用"二重源解析"模型计算的源贡献值的相对误差和标准偏差,还针对从源排放出来的初始态颗粒物在传输过程中发生的扬尘态变化提出了扬尘转化率的概念和计算方法。     

IMPACTS OF CLIMATE CHANGE ON MISSOURI RWER BASIN WATER YIELD1

ABSTRACT: Water from the Missouri River Basin is used for multiple purposes. The climatic change of doubling the atmospheric carbon dioxide may produce dramatic water yield changes across the basin. Estimated changes in basin water yield from doubled CO₂ climate were simulated using a Regional Climate Model (RegCM) and a physically based rainfall‐runoff model. RegCM output from a five‐year, equilibrium climate simulation at twice present CO₂ levels was compared to a similar present‐day climate run to extract monthly changes in meteorologic variables needed by the hydrologic model. These changes, simulated on a 50‐km grid, were matched at a commensurate scale to the 310 subbasin in the rainfall‐runoff model climate change impact analysis. The Soil and Water Assessment Tool (SWAT) rainfall‐runoff model was used in this study. The climate changes were applied to the 1965 to 1989 historic period. Overall water yield at the mouth of the Basin decreased by 10 to 20 percent during spring and summer months, but increased during fall and winter. Yields generally decreased in the southern portions of the basin but increased in the northern reaches. Northern subbasin yields increased up to 80 percent: equivalent to 1.3 cm of runoff on an annual basis.     

区域农村土地市场发育的农户行为响应与农业土地利用变化——以江苏省苏州市、南京市、扬州市村庄及农户调查为例

在江苏省苏州市、南京市、扬州市各自选择了2个村的基础上,运用对240个农户的抽样调查资料,建立了区域农业土地利用变化分析的数量经济模型,较为深入地分析了农村土地流转市场引导下的农户行为对于农业土地利用变化的影响。研究结果表明,在农户决策行为起主导作用的前提下,农业土地利用正在逐步由传统的大田作物向效益更高的经济作物和水产养殖等地类转化;农户家庭非农就业水平的提高有效地推进了这一转化;同时,农户受教育水平的高低以及政府行为都在一定程度上影响着农业土地利用变化。最后从区域非农产业和城镇化发展、深化农村土地产权的物权化改革、农村社会保障制度的完善、建立农村土地流转中介机制、进一步规范政府行为及积极推进农村户籍制度改革等方面提出了一些政策性建议。     

近15年科尔沁沙地及其周围地区土地利用变化分析

利用2期土地利用图形数据对科尔沁沙地及其周围地区的土地利用变化进行分析发现:1985～2000年该地区耕地增加15.34%,林地增加2.48%,草地减少6.28%,水域减少7.72%,城乡工矿居民用地增加1.99%,未利用地减少4.04%;其中草地向耕地转化的面积最大,为4932.00km²,占全区土地利用变化总面积的63.85%,转化的空间分布呈现出向科尔沁沙地边沿及其外围扩展的态势。经相关分析及文献调研得知,人口增长和经济发展是研究地区耕地增加、进而导致系列土地利用变化的根本原因;此外,土地开发和生态环境保护等宏观政策也是影响区域土地利用变的重要人文驱动力。     

A COMPARISON OF DELTA CHANGE AND DOWNSCALED GCM SCENARIOS FOR THREE MOUNTAINOUS BASINS IN THE UNITED STATES1

ABSTRACT: Simulated daily precipitation, temperature, and runoff time series were compared in three mountainous basins in the United States: (1) the Animas River basin in Colorado, (2) the East Fork of the Carson River basin in Nevada and California, and (3) the Cle Elum River basin in Washington State. Two methods of climate scenario generation were compared: delta change and statistical downscaling. The delta change method uses differences between simulated current and future climate conditions from the Hadley Centre for Climate Prediction and Research (HadCM2) General Circulation Model (GCM) added to observed time series of climate variables. A statistical downscaling (SDS) model was developed for each basin using station data and output from the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEPINCAR) reanalysis regridded to the scale of HadCM2. The SDS model was then used to simulate local climate variables using HadCM2 output for current and future conditions. Surface climate variables from each scenario were used in a precipitation‐runoff model. Results from this study show that, in the basins tested, a precipitation‐runoff model can simulate realistic runoff series for current conditions using statistically down‐scaled NCEP output. But, use of downscaled HadCM2 output for current or future climate assessments are questionable because the GCM does not produce accurate estimates of the surface variables needed for runoff in these regions. Given the uncertainties in the GCMs ability to simulate current conditions based on either the delta change or downscaling approaches, future climate assessments based on either of these approaches must be treated with caution.