近60 a来西秦岭及周边地区降水的分布格局

基于西秦岭及周边地区15个气象站点的降水、气温等月值、年值资料,采用相关统计分析及检验的方法,研究了1951年以来该区域近60 a干湿变化的时空特征。结果表明:西秦岭及周边地区1951年以来降水量呈下降趋势,秋季降水量减少趋势最明显,速率为-18.6 mm· (10 a)^-1;而近60 a年平均气温呈上升趋势,升温速率为0.28℃· (10 a)^-1。对比气温和降水要素,西秦岭及周边地区年平均温度每升高1℃,则年降水减少37 mm,表明该区近60 a由冷湿向暖干转变。同时将气候要素与Niño3.4指数进行相关分析,结果显示在厄尔尼诺事件发生当年该区降水少,气温高,容易发生干旱。利用改进的经验正交函数法分析西秦岭及其周边地区15个气象站点的气候要素,发现该区年降水距平百分率的第一模态解释方差为49.0%,整个区域呈同向变化,而年平均温度距平第一模态解释方差为78.8%,在整个区域内亦呈现同向变化。对比两个要素第一模态显示西秦岭近60 a东部地区与西部地区相比,呈现降水减少幅度大,气温升高速率小的分布格局。     

Lopingian (Late Permian) foraminiferal faunal succession of a Paleo-Tethyan mid-oceanic carbonate buildup: Shifodong Formation in the Changning–Menglian Belt, West Yunnan, Southwest China

This paper deals with a Lopingian (Late Permian) foraminiferal faunal succession of the Shifodong Formation in the Changning–Menglian Belt, West Yunnan, Southwest China, which has been geologically interpreted as one of the closed remnants in East Asia of the Paleo‐Tethys Ocean. The Shifodong Formation is the uppermost stratigraphic unit in thick Carboniferous–Permian carbonates of the belt. These carbonates rest upon bases consisting of oceanic island basalt and are widely accepted as having a Paleo‐Tethyan mid‐oceanic (seamount‐ or oceanic plateau‐top) origin. Sixteen taxa of fusuline foraminifers and 37 taxa of smaller (non‐fusuline) foraminifers are recognized from the type section of the Shifodong Formation located in the Gengma area of the northern part of the Changning–Menglian Belt. Based on their stratigraphic distribution, three fusuline zones can be established in this section: they are, in ascending order, the Codonofusiella cf. C. kwangsiana Zone, Palaeofusulina minima Zone, and Palaeofusulina sinensis Zone. These three biozones are respectively referable to the Wuchiapingian, early Changhsingian, and late Changhsingian, of which the Wuchiapingian is first recognized in this study in the Changning–Menglian mid‐oceanic carbonates. The present study clearly demonstrates that the foraminiferal fauna in a Paleo‐Tethyan pelagic shallow‐marine environment still maintained high faunal diversity throughout the almost entire Lopingian, although the very latest Permian fauna in the upper part of the Palaeofusulina sinensis Zone of the Shifodong section records a sudden decrease in both faunal diversity and abundance. Moreover, the Shifodong faunas are comparable in diversity with those observed in circum‐Tethyan shelves such as South China. The present Paleo‐Tethyan mid‐oceanic foraminiferal faunas are definitely more diversified than coeval mid‐oceanic Panthalassan faunas, which are typically represented by those from the Kamura Limestone in a Jurassic accretionary complex of Southwest Japan. It is suggestive that the Paleo‐Tethyan mid‐oceanic buildups presumably supplied a peculiarly hospitable habitat for foraminiferal faunal development in a pelagic paleo‐equatorial condition.     

ASSESSING THE SUITABILITY OF THE EPIC CROP MODEL FOR USE IN THE STUDY OF IMPACTS OF CLIMATE VARIABILITY AND CLIMATE CHANGE IN WEST AFRICA

The EPIC (Erosion Productivity Impact Calculator) crop model, developed by scientists of the United States Department of Agriculture (USDA), has been successfully applied to the study of erosion, water pollution, crop growth and production in the US but is yet to be introduced for serious research purposes in other countries or regions. This paper reports on the applicability of the EPIC 8120 crop model for the assessment of the potential impacts of climate variability and climate change on crop productivity in sub‐Saharan West Africa, using Nigeria as the case study. Among the crops whose productivity has been successfully simulated with this model are five of West Africa's staple food crops: maize, millet, sorghum (guinea corn), rice and cassava. Thus, using the model, the sensitivities of maize, sorghum and millet to seasonal rainfall were demonstrated with coefficients of correlation significant at over 98 per cent confidence limits. The validation tests were based on a comparison of the observed and the model‐generated yields of rice and maize. The main problems of validation relate to the multiplicity of crop varieties with contrasting performances under similar field conditions. There are also the difficulties in representing micro‐environments in the model. Thus, some gaps appear between the observed and the simulated yields, arising from data or model deficiencies, or both. Based on the results of the sensitivity and validation tests, the EPIC crop model could be satisfactorily employed in assessing the impacts of and adaptations to climate variability and climate change. Its use for the estimation of production and the assessment of vulnerabilities need to be pursued with further field surveys and field experimentation.     

中国西部山地发展的一般模式——以天山巴音布鲁克地区为例

中国西部山区是我国的水源地及生态屏障，它们的合理开发与保护是西部大开发的基本内容。研究归纳出山地发展的“巴音布鲁克模式”：（1）天鹅及其生境的绝对保护（核心）；（2）建立可持续牧业（主体）；（3）规范和发展旅游业（突破口）；（4）西蒙古土尔扈特传统文化的保护（文化多样性）。中国西部山区的发展模式都可以概括为一个核心（自然保护）三个圈层（与当地主要土地资源相适应的主导产业，与当地特有资源相联系的新兴产业，当地民族文化保护）。这种模式能够充分体现生态优先的思想，同时考虑到促进地区新老经济及文化的发展与保护，符合西部大开发的方针。     

Comparison of temperature extremes between Zhongshan Station and Great Wall Station in Antarctica

Although temperature extremes have led to more and more disasters, there are as yet few studies on the extremes and many disagreements on temperature changes in Antarctica. Based on daily minimum, maximum, and mean air temperatures(Tmin, Tmax, Tmean) at Great Wall Station(GW) and Zhongshan Station(ZS), we compared the temperature extremes and revealed a strong warming trend in Tmin, a slight warming trend in Tmean, cooling in Tmax, a decreasing trend in the daily temperature range, and the typical characteristic of coreless winter temperature. There are different seasonal variabilities, with the least in summer. The continentality index and seasonality show that the marine air mass has more effect on GW than ZS. Following the terminology of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change(IPCC AR5), we defined nine indices of temperature extremes, based on the Antarctic geographical environment. Extreme-warm days have decreased, while extreme-warm nights have shown a nonsignificant trend. The number of melting days has increased at GW, while little change at ZS. More importantly, we have found inverse variations in temperature patterns between the two stations, which need further investigation into the dynamics of climate change in Antarctica.     

西部地区资源实现可持续利用的道路初探

介绍了我国西部资源的国情，指出资源利用中存在的问题，其原因在于不正确的人与自然观导致了人们对资源的不合理利用；粗放型的经济增长方式；资源的管理体制不完善等等，提出了实现西部地区资源可持续利用的七大对策；转变经济增长方式；依靠科技进步；树立正确的资源观；制定一个系统有效的统一管理体制；全方位的资源综合利用，进行资源核算，实行资产化管理。     

Combining spatial data with survey data improves predictions of boundaries between settlements

Studies of land-use change often require the combination of socioeconomic survey data with spatially continuous maps of land-cover change. One approach is to define maps of land ownership, assuming that all land-use change can be attributed to the owners or managers of each parcel of land. Unfortunately, records of administrative boundaries between towns and villages are commonly unavailable in developing countries and prohibitively costly or time consuming to map for individual projects. However, point locations of the settlements themselves can be obtained easily from existing maps or remotely-sensed imagery. In this paper we compare three methods – circular buffers, unweighted Voronoi polygons (sometimes referred to as Thiessen polygons) and multiplicatively weighted Voronoi polygons – for estimating boundaries between villages in an agricultural landscape in West Africa. The benefits and limitations of each approach are discussed, and their accuracy assessed using 98 independently collected GPS coordinates of village boundaries. We present a novel method for generating and optimising weights for multiplicatively weighted Voronoi polygons using survey data of village sizes from a subset of villages. By using both spatial information and survey data from villages, we show that multiplicatively weighted Voronoi polygons outperform other methods of predicting village boundaries, and increase the correlation coefficient between surveyed village area and mapped areas from 0.18 to 0.68 compared with more commonly used unweighted Voronoi polygons. Our method of weighting Voronoi polygons can be implemented with data and software commonly available to researchers and non-governmental organisations.     

我国西部生态退化的社会经济分析--以川西为例

导致川西生态退化主要原因是经济发展水平低，人口超过环境容量，农村生产方式和生活方式落后，以柴、粪为薪、天然放牧，陡坡垦殖，砍伐森林等导致植被破坏，草场退化，水土流失，据此，对川西的区域资源优势，川西较低密度人口，川西资源开发和支柱产业选择应重新评价和定位。进行川西生态建设，实施可持续发展战略，必须营造开放的社会－经济－自然复合系统的耗散结构，构造社会、经济发展与生态建设协调的有序结构和机制。同时，较彻底地改造农林牧生态系统，开创与生态协调的农业结构，生产模式，种植模式和管理模式，进行农牧区社区建设，根除刀耕火种，陡坡垦殖，游牧的社会基础。     

中国西部干旱区生态环境演变过程

根据湖沼沉积、黄土沉积和冰积等地质记录，运用地理信息系统、遥感、生态景观学等方法．从万年、千年和百年及百年以下四个时间尺度对中国西部干旱区生态环境演变过程进行研究。结果表明，全新世以来，中国西部干旱区的气候变化经历了多次的相对暖干和相对冷湿交替变化，变化历程较为复杂。早全新世、中全新世、晚全新世气候特点因地因时而异，但总体特征以干旱化为主，280～350a来，降水量有明显的减少趋势，并表现出显著的周期性。但在近半个世纪以来，中国天山地区的气候变化特征表现为气温升高，降水量增加。总的来说，从20世纪80年代以来，新疆的气候趋于好转，植被覆盖状况改善明显，山地森林、草甸、人工绿洲的面积均呈增加趋势。研究结果还表明，在一定尺度的气候背景条件下，地表的植被覆盖对调节绿洲区域气候有着积极的作用，可增加局部地区的降水。     

基于MODIS NDVI的西辽河流域主要粮食作物时空分布格局

研究以西辽河流域为案例区,以MODIS遥感数据为基础,选取2000、2005和2010年时间点,利用NDVI时间序列信息,结合西辽河流域不同作物物候历,运用决策树提取模型,获取西辽河流域春玉米、春小麦和大豆等主要作物的空间分布信息,定量揭示了10年间西辽河流域主要粮食作物的时空分布特征。研究表明：（1）2010年西辽河流域主要粮食作物播种面积为11 965.08 km2,其中春玉米播种面积约占流域主要粮食作物的92.28%,集中在西辽河流域下游地区;春小麦播种面积占比3.14%,以西辽河流域中游面积最大;大豆播种面积占比4.58%,以西辽河上游流域面积最大。（2）2000-2005年西辽河流域主要粮食作物播种面积大幅增加,涨幅达29.77%,集中在西辽河流域下游地区。其中,春玉米播种面积增长38.99%,春小麦播种面积减少39.04%,大豆播种面积增长21.27%。（3）2005-2010年西辽河流域主要粮食作物播种面积增长缓慢,涨幅为5.18%,集中在西辽河流域下游地区。春玉米播种面积呈现增加趋势,春小麦呈现减少趋势,大豆呈减少趋势。