基于边际效应理论的中部板块协调发展分析

边际效应理论及其增值效应是现代生态科学很重要的一个原理.我国是典型的经济发展不平衡的国家,长期的区域非均衡战略在全国范围内形成了四大区域板块.面对着东部的开放崛起,西部大开发和东北老工业基地的改造,"谨防中部凹陷,促进中部崛起"作为一个区域协调发展的重大命题,被提到了国家层面上.中部板块由于地理区位与经济发展水平均居于我国的中间位置,因此具有明显的过渡性.作者试图通过运用生态学上的边际效应理论,分析中部区域板块内部以及板块之间的区域经济协调发展机制,来促进中部区域板块经济的协调发展.     

湖北省1981年以来不同时间尺度气温的变化

详细分析全省７１站１９８１￣１９９４年与前２０年不同时间尺度平均气温差值的时空分布特征后发现，８０年代以来我省各地年均气温变化小，但相对地降温范围广，幅度大，且四季及逐月、甸格局发生重大调整，区域差异明显，其特点是冬久暖，夏久凉，春季前冷后暖，秋季反之、其中以夏凉春热最显著；鄂西山区四季均为负变温。     

Gini Index for Cities: A Preliminary Study on Regional Differences of Chinese City Size Distribution

City size distribution is of interest because of a number of key stylized facts, including notably Zipf's law for cities and the importance of urban primacy. But a new and more efficient method Gini index can be used for calculating regional city size distribution. This paper begins by developing a calculation method for the Gini index, dividing the whole country into 26 areas and then calculating each area's Gini index value. Based on these calculation results, this paper gives a preliminary study on regional differences of its city size distribution and the dynamics.     

区域历史地理研究与国土规划

人口与资源和环境之间的相互关系是一个历史过程。从发生学观点研究特写区域这种关系及其变化规律是区域历史地理研究的核心内容，探索历史上人口与资源和环境之间相互关系的规律及其演化机制，可为区域国土规划与整治中人口、资源与环境发展提供必要的历史借鉴和客观依据。同时，国土规划与整治的现实任务亦为区域历史地理研究提供了发展机遇。     

我国三大地带经济发展不平衡性动态分析

本文采用人均GDP指标,对1978-2002年我国三大地带经济发展的不平衡性及驱动机制进行了动态时序分析,剖析了三大地带经济差距产生的原因.结果表明:近20多年来无论是绝对差距、相对差距还是综合差距，三大地带经济区域差异均呈现扩大趋势，尤其是以20世纪90年代初期最为显著。究其原因，除了自然环境和历史背景的影响外，产业结构、所有制结构，投资强度，对外开放程度和社会文化环境等因素均具有重要影响。为缩小三大地带的经济差距，除加强对中西部的投资建设外，应加快对中西部改革开放的步伐，增强了中西部的自我发展能力。     

MULTIPLICATIVE,SEASONAL ARIMA MODELS FOR LAKE ERIE AND LAKE ONTARIO WATER LEVELS1

ABSTRACT: Federal agencies in the U.S. and Canada continuously examine methods to improve understanding and forecasting of Great Lakes water level dynamics in an effort to reduce the negative impacts of fluctuating levels incurred by interests using the lakes. The short term, seasonal and long term water level dynamics of lakes Erie and Ontario are discussed. Multiplicative, seasonal ARIMA models are developed for lakes Erie and Ontario using standardized, monthly mean level data for the period 1900 to 1986. The most appropriate model identified for each lake had the general form: (1 0 1)(0 1 1)₁₂. The data for each lake were subdivided by time periods (1900 to 1942;1 943 to 1986) and the model coefficients estimated for the subdivided data were similar, indicating general model stability for the entire period of record. The models estimated for the full data sets were used to forecast levels 1,2,3, and 6 months ahead for a period of high levels (1984 to 1986). The average absolute forecast error for Lake Erie was 0.049m, 0.076m, 0.091 m and 0.128m for the 1, 2,3, and 6 month forecasts, respectively. The average absolute forecast error for Lake Ontario was 0.058m, 0.095m, 0.120m and 0.136m for the 1,2,3, and 6 month forecasts, respectively. The ARIMA models provide additional information on water level time series structure and dynamics. The models also could be coordinated with current forecasting methods, possibly improving forecasting accuracy.     

Island biogeographical theory: Can it be used to predict lotic recovery rates?

Classic island biogeographic theory predicts that equilibrium will be reached when immigration and extinction rates are equal. These rates are modified by number of species in source area, number of intermediate islands, distance to recipient island, and size of intermediate islands. This general model has been variously modified and proposed to be a stochastic process with minimal competitive interaction or heavily deterministic. Predictive models of recovery (regardless of the end point chosen) have been based on the appropriateness of the MacArthur-Wilson models. Because disturbance frequency, severity, and intensity vary in their effect on community dynamics, we propose that disturbance levels should first be defined before evaluating the applicability of island biogeographical theory. Thus, we suggest a classification system of four disturbance levels based on recovery patterns by primary and secondary succession and faunal organization by primary (invasion of vacant areas) and secondary (remnant of previous community remains) processes. Level 1A disturbances completely destroy communities with no upstream or downstream sources of colonizers, while some component of near surface interstitial or hyporheic flora and fauna survive level 1B disturbances. Recovery has been reported to take from five years to longer than 25 years, when most invading colonists do not have an aerial form. Level 2 disturbances destroy the communities but leave upstream and downstream colonization sources (level 2A) and, sometimes, a hyporheic pool of colonizers (level 2B). Recovery studies have indicated primary succession and faunal structuring patterns (2A) with recovery times of 90–400 days or secondary succession and faunal structuring patterns (2B) with recovery times of 40–250 days. Level 3 disturbances result in reduction in species abundance and diversity along a stream reach; level 4 disturbances result in reduction of abundance and diversity in discrete patches. Both disturbance types lead to secondary succession and secondary faunal organization. Recovery rates can be quite rapid, varying from less than 10 days to 100 or more days. We suggest that island biogeographical models seem appropriate to recovery by secondary processes after level 3 and 4 disturbances, where competition may be an important organizing factor, while models of numerical abundance and resource tracking are probably of better use where community development is by primary succession (levels 1 and 2). Development of predictive recovery models requires research that addresses a number of fundamental questions. These include the role of hydrologic patterns on colonization dynamics, the role of nonaerial colonizers in recovery from level 1 disturbances, and assessment of the impact of changes in the order of invasion by colonizers of varying energetic efficiencies. Finally, we must be able to assemble these data and determine whether information that guides community organization at one level of disturbance can provide insights into colonization dynamics at other levels.     

Integrating forage,wildlife, water,and fish projections with timber projections at the regional level: A case study in southern United States

The impact of timber management and land-use change on forage production, turkey and deer abundance, red-cockaded woodpecker colonies, water yield, and trout abundance was projected as part of a policy study focusing on the southern United States. The multiresource modeling framework used in this study linked extant timber management and land-area policy models with newly developed models for forage, wildlife, fish, and water. Resource production was integrated through a commonly defined land base that could be geographically partitioned according to individual resource needs. Resources were responsive to changes in land use, particularly human-related, and timber management, particularly the harvest of older stands, and the conversion to planted pine.     

西藏措勤地区年波组岩石地球化学特征

林子宗群年波组为始新世火山岩地层,岩性主要为一套中-酸性火山熔岩、火山碎屑岩,局部夹淡水灰岩.野外地质调查和室内岩石学、岩石地球化学等综合研究成果显示这些岩石属钙碱性系列岩石,不相容元素K、Rb、Ba、Th强烈富集和Nb、Sr、P、Ti等元素明显亏损等特征,且明显受区域断裂构造控制,与区域构造演化有密切的内在联系.研究这一地史时期的火山岩的分布、产状、岩石学、岩石地球化学和同位素年代学,对于进一步认识青藏高原的形成和隆升不仅具有重要的科学意义,而且将为探寻与火山活动有关的矿产资源提供基础地质资料.