Study on spatial pattern of land-use change in China during 1995—2000

Land-use/cover change has become an event being of paramount importance to the study of global environmental change[1,2]. Land-cover change is closely related to the terrestrial surface material cycles and life-support processes[3], i.e., the interaction …     

Multi-scale observation and cross-scale mechanistic modeling on terrestrial ecosystem carbon cycle

To predict global climate change and to implement the Kyoto Protocol for stabilizing atmospheric greenhouse gases concentrations require quantifying spatio-temporal variations in the terrestrial carbon sink accurately. During the past decade multi-scale ecological experiment and observation networks have been established using various new technologies (e.g. controlled environmental facilities, eddy covariance techniques and quantitative remote sensing), and have obtained a large amount of data about terrestrial ecosystem carbon cycle. However, uncertainties in the magnitude and spatio-temporal variations of the terrestrial carbon sink and in understanding the underlying mechanisms have not been reduced significantly. One of the major reasons is that the observations and experiments were conducted at individual scales independently, but it is the interactions of factors and processes at different scales that determine the dynamics of the terrestrial carbon sink. Since experiments and observations are always conducted at specific scales, to understand cross-scale interactions requires mechanistic analysis that is best to be achieved by mechanistic modeling. However, mechanistic ecosystem models are mainly based on data from single-scale experiments and observations and hence have no capacity to simulate mechanistic cross-scale interconnection and interactions of ecosystem processes. New-generation mechanistic ecosystem models based on new ecological theoretical framework are needed to quantify the mechanisms from micro-level fast eco-physiological responses to macro-level slow acclimation in the pattern and structure in disturbed ecosystems. Multi-scale data-model fusion is a recently emerging approach to assimilate multi-scale observational data into mechanistic, dynamic modeling, in which the structure and parameters of mechanistic models for simulating cross-scale interactions are optimized using multi-scale observational data. The models are validated and evaluated at different spatial and temporal scales and real-time observational data are assimilated continuously into dynamic modeling for predicting and forecasting ecosystem changes realistically. in summary, a breakthrough in terrestrial carbon sink research requires using approaches of multi-scale observations and cross-scale modeling to understand and quantify interconnections and interactions among ecosystem processes at different scales and their controls over ecosystem carbon cycle.     

热液喷口生物体对成矿作用的影响

深海热液喷口及相关生物群体的发现是近20年来全球海洋科学取得的最重要的科学成就之一。在海底黑烟囱周围高温、高压、黑暗、缺氧、含硫等极端环境中,生活着特殊的深海生物群落,它们的初级生产者嗜热细菌和古细菌在其自身的生活史中不仅影响了喷口周围矿物的沉积,而且直接和间接影响了矿物元素的溶解、吸附、萃取、转化,生成包括Fe,Mn...     

东天山阿拉塔格花岗岩体地球化学特征及其构造意义

位于中天山地块南缘大黑山地区的阿拉塔格花岗岩体,岩性主要由花岗闪长岩、二长花岗岩、似斑状花岗岩组成,岩石具有高硅(w（SiO₂）为66.29%~77.47%)、富碱(w（Na₂O+K₂O）为6.75%~9.93%)、高铝(w（Al₂O₃）为10.97%~14.40%)、低Sr(w（Sr）为（28.78~153.00）×10^-6,平均为99.23×10^-6)、低Ti（w（TiO₂）为0.09％~0.77％）的特征。岩石的A/CNK值为1.19~1.50,为钙碱性过铝质岩石;岩石Eu亏损（δEu＝0.19~0.51）、LREE富集(LREE/HREE= 6.80~8.45,(La/Yb)_N= 6.06~9.03),明显富集Rb、Th、K、Hf(Zr) 等大离子亲石元素(LILE),亏损Nb、Ta、P、Ti等高场强元素(HFSE);岩石的Ba含量较低,并具有明显的Sr负异常。结合区域地质特征,通过岩石的地球化学和Sr、Nd同位素综合分析,认为该花岗岩形成于后碰撞环境,且为壳幔混源的岩浆多期次侵位的复合岩体。     

北京郊区地表水中有机氯农药残留水平及特征

有机氯农药滴滴涕(DDT)、六六六(HCH)等化学性质非常稳定,很难生物降解,对环境及人类健康构成了严重威胁。尽管我国从1983年起已禁止使用,但现在的土壤、水等环境样品中仍有不同程度的检出。水资源是自然环境的主要组成要素,又是农业生产的重要自然资源。以往已有学者对北京部分河流地表水中有机氯农药残留进行过研究,发现存在不同程度水体污染。近年来,经过各方大力控制水体污染和环境治理,北京地区地表水中仍有有机氯农药残留,其残留现状是人们十分关心的重要问题。因此本文选择北京郊区为研究区域,采集了温榆河、北运河、延庆、房山、昌平、顺义等地区地表水,分析了水体中DDTs和HCHs污染物的含量以及分布情况,结果表明DDTs、HCHs在北京郊区地表水中均有不同程度的检出,DDTs含量为ND~1398 ng/L,HCHs含量为387~14642 ng/L。本文同时研究了DDT与其代谢产物DDE、DDD的组成比例以及HCH同分异构体的组成特征,对北京郊区地表水中DDTs和HCHs的污染来源进行了简要分析。     

Wind erosion hazard assessment of the Mongolian Plateau using FCM and GIS techniques

The most serious environmental problems of the Mongolian Plateau are land degradation and sand storms caused by wind erosion, but the evaluation of wind erosion at regional scales has been a difficult process in wind erosion research. In this study, fuzzy c-means clustering (FCM) was used to assess the spatial pattern of wind erosion hazard on the Mongolian Plateau. By fuzzy clustering four main wind erosion factors (vegetation cover, average degree of land surface relief, degree of soil dryness and intensity of wind energy), wind erosion hazard was classified into six grades. Results show that FCM can effectively integrate related information between wind erosion and environmental factors, which provides the basis for predictive mapping of wind erosion hazard. Spatial patterns of wind erosion hazard indicate a gradual trend of increasing hazard in the Mongolian Plateau from east to west. Similar patterns were also found in NDVI and soil dryness, indicating that soil moisture and vegetation are the most important factors in the formation of wind erosion hazard. In addition, the distribution of different levels of wind erosion hazard is basically consistent with the regional distribution of landscape vegetation types in the Mongolian Plateau.     

北京地区土地利用/覆被及其变化对气温升温的影响分析

利用北京地区13个气象台站1979～2005年的气温资料、NCEP再分析资料以及1990～2005年的三期1：10万土地利用/覆被数据,在分析气象站点3 km半径缓冲区内土地利用/覆被及变化特征的基础上,通过比较气温变化在不同下垫面状况下的差异,分析了北京地区3种主要土地利用/覆被类型对气温变化趋势的影响,得出以下结论：1）建设用地对气温升高的影响最显著（0.822°C/10 a）,林地、草地、耕地混合类型次之（0.296°C/10 a）,林地最小（0.197°C/10 a）;2）利用“观测减去再分析（OMR）”方法后,建设用地的OMR年均温升温趋势依然最大（0.527°C/10 a）,林地、草地、耕地混合类型次之（-0.012°C/10 a）,林地最小（-0.118°C/10 a）,表明建设用地对气温升高具有增强作用,而林地对气温升高具有抑制作用;3）当土地利用/覆被类型向城市建设用地类型转化时,转化的面积越大,气温变化量越大。     

基于小波分析的江河源区汛期和枯水期径流特征(英文)

By decomposing and reconstructing the runoff information from 1965 to 2007 of the hydrologic stations of Tuotuo River and Zhimenda in the source region of the Yangtze River, and Jimai and Tangnaihai in the source region of the Yellow River with db3 wavelet, runoff of different hydrologic stations tends to be declining in the seasons of spring flood, summer flood and dry ones except for that in Tuotuo River. The declining flood/dry seasons series was summer > spring > dry; while runoff of Tuotuo River was always increasing in different stages from 1965 to 2007 with a higher increase rate in summer flood seasons than that in spring ones. Complex Morlet wavelet was selected to detect runoff periodicity of the four hydrologic stations mentioned above. Over all seasons the periodicity was 11-12 years in the source region of the Yellow River. For the source region of the Yangtze River the periodicity was 4-6 years in the spring flood seasons and 13-14 years in the summer flood seasons. The differences of variations of flow periodicity between the upper catchment areas of the Yellow River and the Yangtze River and between seasons were considered in relation to glacial melt and annual snowfall and rainfall as providers of water for runoff.     

一种土壤属性制图的曲面建模方法(英文)

High accuracy surface modeling(HASM) is a method which can be applied to soil property interpolation.In this paper,we present a method of HASM combined geographic information for soil property interpolation(HASM-SP) to improve the accuracy.Based on soil types,land use types and parent rocks,HASM-SP was applied to interpolate soil available P,Li,pH,alkali-hydrolyzable N,total K and Cr in a typical red soil hilly region.To evaluate the performance of HASM-SP,we compared its performance with that of ordinary kriging(OK),ordinary kriging combined geographic information(OK-Geo) and stratified kriging(SK).The results showed that the methods combined with geographic information including HASM-SP and OK-Geo obtained a lower estimation bias.HASM-SP also showed less MAEs and RMSEs when it was compared with the other three methods(OK-Geo,OK and SK).Much more details were presented in the HASM-SP maps for soil properties due to the combination of different types of geographic information which gave abrupt boundary for the spatial varia-tion of soil properties.Therefore,HASM-SP can not only reduce prediction errors but also can be accordant with the distribution of geographic information,which make the spatial simula-tion of soil property more reasonable.HASM-SP has not only enriched the theory of high accuracy surface modeling of soil property,but also provided a scientific method for the ap-plication in resource management and environment planning.     

Households’ willingness to reduce pollution threats in the Poyang Lake region,southern China

Environmental threats to wetland ecosystems are increasing, and these ecosystems are becoming increasingly sensitive to human impacts, leading to deterioration of these already fragile ecosystems. Poyang Lake is the largest freshwater lake in China and one of the most important wetlands in the world. However, water pollution and related environmental changes have increasingly drawn the scientific community's attention. The goal of this paper is to provide insights into the environmental threats to the Poyang Lake region as perceived from the households’ perspective, and to investigate their willingness to pay for conservation of the lake's environment. We collected both primary and secondary data through a questionnaire delivered to 270 households and analysis of existing water monitoring data. The major threat confronting the Poyang lake region is water pollution; water quality, as represented by the total nitrogen (TN) and total phosphorus (TP) concentrations and by chemical oxygen demand (COD), suggests a moderate to severe degree of eutrophication. The situation has worsened in recent years, particularly due to high TN and TP in agricultural drainage water caused by increasingly intensive use of chemical fertilizers by local farmers. Most households were willing to pay to mitigate these threats, but the magnitude of the payment was related to a farmer's dependence on the lake for their production and daily life. The results of our analysis will help managers develop more effective environmental management policies.