农业生态系统可持续性评价研究进展

在大量查阅国内外文献资料的基础上,阐述了国内外农业可持续性评价指标体系的选取标准与选取方法,在此基础上,综述了国内外农业可持续评价方法及评价尺度等研究进展情况。发现国内农业可持续性评价指标过多且以农业经济方面的指标为主,指标之间重叠现象严重,对生态环境、政策性和指导性指标重视不够,而且评价方法有待进一步完善。最后,针对农业可持续性评价中存在的问题提出了一些建议,以期对国内农业的可持续评价研究有所借鉴。     

基于雷电监测资料的南充市雷电灾害风险区划研究

选取闪电密度、雷暴日、经济损失风险、生命损失风险等作为各县(市、区)雷电灾害易损性评估指标;并在此基础上,建立雷电灾害评估体系,对各县(市、区)的雷灾易损性进行了综合评价,进行区划分析。基于南充市雷电监测数据和人文经济指标而制作的全市雷电灾害风险区划,可以为全市雷电灾害防御提供科学依据,能有效降低因雷电灾害带来的生命财产损失和社会影响,提高灾害天气预报、预警能力,提升气象防灾减灾能力。基于南充市雷电监测数据而统计出的闪电密度、雷暴日数更具客观性。     

场地韧性的概念及有关问题的讨论

在韧性城市和建筑抗震韧性等级评价中,需要对场地的韧性给出评价。场地韧性是一个新概念,场地韧性的概念和场地韧性等级评价在学术界还是空白。因此,对场地韧性的概念及有关问题开展讨论,对韧性城市和建筑抗震韧性评价具有重要的理论意义和工程应用价值。本文在分析韧性和场地概念的基础上,讨论了场地的稳定性和抗干扰问题;基于HOLLING建立的适应性循环理论,论述了建立场地韧性概念的理论基础;首次提出了场地韧性概念并解释了其内涵;考虑韧性城市和建筑抗震韧性评价的需求,初步讨论了与场地韧性等级评价有关的问题,提出了建立场地韧性等级评价指标体系的初步设想;建议了场地韧性等级评价的数学方法,为实现场地韧性等级评价提供了途径和方法。本文研究成果对从事韧性城市和建筑抗震韧性研究的科技工作者有一定的参考价值。     

河南省卢氏县张家山铁矿地质特征及成因浅析

通过对张家山铁矿床矿体与围岩的接触关系、蚀变特征、矿石的矿物组合、化学组分等地质特征及成因的分析研究,认为张家山铁矿床应属风化淋滤型铁矿床,其原生矿床为铁多金属硫化物矿床,并厘定了该地区铁矿的找矿标志。     

Quality mapping of the Ryytimaa dolomite in western Finland

The Ryytimaa dolomite formation in western Finland is mined for fertilizing purposes in agriculture. Ordinary kriging, indicator kriging, and indicator principal components simulation were used to map the dolomite quality. The fertilizing properties depend on the relative amounts of MgO and neutralizing CaO in dolomite. Based on the chemical composition the dolomite is divided into six quality classes according to the Finnish legislation. This quality classification is only partially in accordance with the three populations inferred from the distributions of the MgO, CaO, and neutralizing CaO contents. These populations probably represent compositionally different dolomite layers, now forming complicated fold interference structures that are visible on the kriged maps. The mapping of the quality, and thus, selective mining of the dolomite deposit is possible using the quality classification based on the three populations. In contrast, selective mining of the dolomite based on the legislation is difficult—at least with techniques used in this study.     

以土地利用/土地覆被变化为中心的土地科学研究进展

土地利用 /土地覆被变化已成为土地科学、地球系统科学、全球环境变化及可持续发展研究中的核心领域。其研究的根本目标是实现土地资源的有效管理与可持续利用 ,这不仅是解决资源与环境问题的根本立足点 ,也是经济增长与区域可持续发展过程的重要前提。针对国际土地科学研究中最为活跃的几个前沿领域 :土地利用 /土地覆被变化、土地资源系统分析与评价、土地质量指标体系、生态环境效应及持续土地利用 ,结合近年来国内外有关的主要研究计划和项目 ,本文对以土地利用 /土地覆被变化为中心的土地科学研究进展进行了综述。     

An index to assess maritime importance in the European Atlantic economy

Successive marine policies set by the European Union identify the maritime sectors as crucial drivers for growth and jobs in the EU economy. The design of marine policies and the assessment of the importance of the maritime economy need empirical support that provides the basic data to help the decision-making process. This paper proposes a metric, in the form of a synthetic index, to measure and compare the importance of the maritime sectors in the European Atlantic area. The index scores can be used to assess the position of each Atlantic region so that it is possible to compare its performance to the rest of the area. The results show the relative weight of the maritime sectors in the European Atlantic regions and the high heterogeneity among them. Analyzing the maritime economy with this index can provide guidance for the design of economic policies to identify and revitalize the regions with greater potential for Blue Growth in the Atlantic area. This may help to put into perspective the importance of the maritime economy and can serve to improve the socio-economic dimension of the use of marine waters.     

Monitoring the recovery of a previously exploited surf-zone fish community in the St Lucia Marine Reserve,South Africa,using a no-take sanctuary area as a benchmark

Limiting accessibility to a fishing area can reduce fishing effort effectively and may therefore promote local recovery of depleted stocks. In January 2002, beach driving was banned in South Africa, thereby reducing angler access to large areas of the coastline, particularly in less-developed areas. In November 2001 a project had been established in the St Lucia Marine Reserve, on the east coast of South Africa, to compare surf-zone fish populations inside a no-take sanctuary zone with those in an adjacent exploited area. Subsequent to the ban, the aim of the project was adapted such that surf-zone fish populations were monitored for potential recovery in what had been the exploited area, located to the north of Cape Vidal, which anglers could no longer access easily, because of the prohibition on beach driving. Standardised research fishing was conducted at two sites in the previously exploited area and two sites in the no-take sanctuary. Conventional stock-status indicators showed evidence of recovery in the four most common species caught in the previously exploited area, in terms of both abundance and biomass. Generalised additive mixed models were used to account for the influence of targeting specific species; however, subtle differences in habitat between the sampling sites, improved angling skill over time, variability in recruitment, and differential species-specific responses complicated interpretation of results. The implications of the findings are discussed in terms of the future monitoring and management of marine protected areas both within the St Lucia Marine Reserve and farther afield.     

Structure and dynamics of demersal fish assemblages over three decades (1985–2012) of increasing fishing pressure in Guinea

In a context of growing fishing pressures and recommendations for an ecosystem approach to fisheries, there is a need to monitor changes in fish communities over time. In this study, we analysed data from scientific trawl surveys carried out on the continental shelf off Guinea between 1985 and 2012. We performed factorial analyses and calculated biodiversity indices to characterise the changes in the structure and composition of fish communities that occurred over the 28-year period in this area, particularly given intensive fishing activities. We show that, over the study period, fish communities on the Guinean shelf were structured primarily according to spatial factors, with temporal changes being less pronounced than expected. However, a temporal analysis of biodiversity indices and species dominance showed that the intensification of fishing had significant effects on the general ecological features of the fish assemblages under study. There was a decrease in fish density and in mean trophic level. In addition, there were changes in species dominance, whereby large, slow-growing species with high commercial value were gradually replaced by smaller, fast-growing species of lesser commercial interest. These results from field observations are in line with some conclusions from previous modelling studies in the same geographical area, and provide further support for the hypothesis of a progressive ‘ecosystem effect of fishing’ occurring in Guinean waters.     

Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors

Land degradation is believed to be one of the most severe and widespread environmental problems. In South Africa, large areas of land have been identified as degraded, as shown by the lower vegetation cover. One of the major causes of grassland degradation is change in plant species composition that leads to presence of unpalatable grass species. Some grass species have been successfully used as indicators of different levels of grassland degradation in the country. This paper, therefore explores the possibility of mapping grassland degradation in Cathedral Peak, South Africa, using indicators of grass species and edaphic factors. Multispectral SPOT 5 data were used to produce a grassland degradation map based on the spatial distribution of decreaser (Themeda triandra) and increaser (Hyparrhenia hirta) species. To improve mapping accuracy, soil samples were collected from each species site and analysed for nutrient content. A t-test and machine learning random forest classification algorithm were applied for variable selection and classification using SPOT 5 data and edaphic variables. Results indicated that the decreaser and increaser grass species can be mapped with modest accuracy using SPOT 5 data (overall accuracy of 75.30%, quantity disagreement = 2 and allocation disagreement = 23). The classification accuracy was improved to 88.60%, 1 and 11 for overall accuracy, quantity and allocation disagreements, respectively, when SPOT 5 bands and edaphic factors were combined. The study demonstrated that an approach based on the integration of multispectral data and edaphic variables, which increased the overall classification accuracy by about 13%, is a suitable when adopting remote sensing to monitor grassland degradation.