基于WSR框架的《开发区土地集约利用评价规程》指标体系分析

旨在剖析我国《开发区土地集约利用评价规程》中指标体系存在的问题并提出改进建议。在界定开发区土地集约利用内涵基础上,从要素特征(W维)、利用目标(R维)和评价过程(S维)等3个维度阐述了开发区土地集约利用评价的系统要求,构建关联分析矩阵,对《规程》中评价指标体系的特征差异化、层次完整性和目标关联性等3个方面进行了分析讨论。针对当前《规程》中存在的评价对象混杂、开发区类型需要细化、指标体系不完整、计算方法需修正等问题提出了相应修改建议。     

青岛即墨温泉盆地热水沉积指示物及其标识性意义

经野外取样和XRD测试技术,在即墨温泉盆地发现硅质沉淀物、盐华、石膏、自然硫等温泉热水沉积指示物.根据热水沉积指示物的空间分布和含量的变化,阐述温泉热水沉积指示物的标识性意义：（1） 热水沉积指示物是划分第四纪沉积物层系的依据;（2） 是温泉地下热储温度的指示剂;（3） 依据热水沉积指示物百分含量的空间变化,可圈定温泉地热中心,指导地热资源开发;（4） 是寻找地下盲温泉和古地热水活动的标志;（5） 温泉热水沉积模式对现代海底热水沉积作用、成矿作用环境的模拟研究具有重要参考作用.     

基于FY-4A卫星数据的短时强降水监测预警指标

选取2018—2021年汛期短时强降水天气过程,利用相关性分析、箱线图法和极值统计法,尝试研究FY-4A卫星产品在短时强降水天气过程中的监测预警指标。研究表明：(1)FY-4A卫星多通道数据可以作为短时强降水监测预警的定量化指标予以应用。(2)筛选出相关性较好的13项产品统计出短时强降水的监测预警指标,其中赋值类指标4项,数值判别类指标9项(含辅助指标3项);初步设定13项指标中有9项达标时,短时强降水会发生。(3)在评估基础上完善了指标,监测预警效果有所提高,TS评分提高5.4%,空报率降低2.7%,漏报率降低1.9%。     

基于参与式制图方法的景观服务评估与空间结构研究

景观服务评估核心是人与环境之间复杂的动态关系,基于利益相关者的参与式制图方法是建立景观服务分类体系和量化指标的有效途径。本文采用参与式制图方法,以九寨沟自然保护区为例,根据景观服务分类研究成果,并结合九寨沟自然资源特点和景观服务使用者半结构式访谈数据,提出了适用于九寨沟的景观服务指标体系。本研究方法以管理局工作人员、居民和游客等服务使用者作为参与式调研对象,分别就其需求和景观服务感知程度进行半结构式访谈,并利用GIS技术将数据空间位置和功能属性结合,得到九寨沟有3大类景观服务和17个相关指标,以及737个景观服务点。通过研究结果可知,当地村落建筑与众多景观服务指标（包括观鸟场所、野营旅游、民俗与节庆等13个指标）具有极强的空间关联性。同时,景观服务使用者感知的景观价值在空间上属于聚集分布形式,主要围绕着开放生态旅游的3条沟谷分布,并向外围扩散。其中景观服务的“高—高”空间聚集区主要分布在沟口等与人类需求密切联系的区域,而景观服务的“低—低”空间聚集区则主要分布在原始森林等与人类居住、活动相距较远的区域。综上,基于参与式制图方法建立的景观服务分类和空间分析,发现九寨沟景观服务的空间位置与使用者紧密相关,其景观价值的空间结构特征是服务使用者与环境长期互动的结果,该结果可以用来引导并进一步优化九寨沟的功能分区规划。     

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.