Deriving indicators of sustainable development

Assessments of current and future development paths require comprehensive sets of indicators covering all essential aspects. From a holistic systems point of view, most currently proposed indicator sets are incomplete and deficient. Assessments of sustainable development require a full representation of the satisfaction states of the “basic orientors” (=fundamental interests) of constituent sector systems, and of their contribution to basic orientor satisfaction of the total system. Basic orientors are value dimensions (existence, effectiveness, freedom of action, security, adaptability, coexistence) emerging from a self-organizing system's interaction with its environment, and its fundamental properties (normal environmental state, scarce resources, variety, variability, change, other systems). Basic orientors are also reflected in human emotions, societal punishment, psychological and social needs, life styles, and values emerging in self-organization of artificial life. The relative weight assigned to basic orientors of partner systems is a question of ethics. Based on these concepts, a general scheme for finding a “complete” set of indicators of viability and sustainability is derived, and it is applied to deriving a comprehensive set of indicators of sustainable development for society and its sector systems (infrastructure, economic system, social system, individual development, government, environment and resource system). The method can be applied at different levels of complexity and regional resolution. A full set of regional indicators for sustainable development is presented, a method for compact assessment of development paths using orientor stars is described, and the approach for application at the community level is outlined.     

The development of an ecological classification data management and analysis system for British Columbia

Since 1975, the British Columbia Ministry of Forests has been systematically developing an ecosystem classification of the province, an area covering 94 million hectares. This Biogeoclimatic Ecosystem Classification (BEC) system provides a framework for resource conservation and management. To date, approximately 250 person-years have been invested in the collection, analysis and synthesis of over 8000 ecological (vegetation and environmental data) plots, and in the production of ecological field guides.The development of a database and analysis system on the micro-computer platform to support a classification system of this magnitude was a complex procedure that required judicious planning and coordination. We have developed data-processing software that permits a user to select raw data from broad provincial or regional coverage to plot- and species-level summaries, and to export the data to a variety of output formats.This paper addresses key issues for handling ecological field data on the desktop computer with emphasis on standards, operator ease-of-use, and data access.     

New perspectives on sustainable development and barriers to relevant information

Sustainable development may mean different things to people with different worldviews. We sketch four worldviews, drawing on a schema developed by Bryan Norton. Of these four worldviews, i.e. exploitist, utilitist, integrist and inherentist, the third is the most consistent with the Brundtland Report (WCED 1987) and the Great Lakes Water Quality Agreement (GLWQA 1987).The integrist perspective combines analytic reductionistic study with comparative contextual study, with emphasis on the latter. This integrative approach moves from over-reliance on utilist information services such as impact assessment towards transactive study. Our own compromise emphasizes a stress-response approach to a partial understanding of complex cultural-natural interactions within ecosystems. Both cultural and natural attributes of ecosystems must be addressed.Currently the federal Canadian government tends toward an exploitist worldview; current government R&D funding and subsidies reflect this view. Old-fashioned scientists who rely on a monocular analytical vision of the world's minutiae may find contextual historical study offensive; these scientists hold sway on some advisory boards and hence research funding. Difficulty in finding funding for integrist information services should not be interpreted as a lack of need for this information; rather this difficulty results from resistance to a changing worldview.     

Land quality,sustainable development and environmental degradation in agricultural districts: A computational approach based on entropy indexes

Land Degradation (LD) in socio-environmental systems negatively impacts sustainable development paths. This study proposes a framework to LD evaluation based on indicators of diversification in the spatial distribution of sensitive land. We hypothesize that conditions for spatial heterogeneity in a composite index of land sensitivity are more frequently associated to areas prone to LD than spatial homogeneity. Spatial heterogeneity is supposed to be associated with degraded areas that act as hotspots for future degradation processes. A diachronic analysis (1960–2010) was performed at the Italian agricultural district scale to identify environmental factors associated with spatial heterogeneity in the degree of land sensitivity to degradation based on the Environmentally Sensitive Area Index (ESAI). In 1960, diversification in the level of land sensitivity measured using two common indexes of entropy (Shannon's diversity and Pielou's evenness) increased significantly with the ESAI, indicating a high level of land sensitivity to degradation. In 2010, surface area classified as “critical” to LD was the highest in districts with diversification in the spatial distribution of ESAI values, confirming the hypothesis formulated above. Entropy indexes, based on observed alignment with the concept of LD, constitute a valuable base to inform mitigation strategies against desertification.     

Exploration of sustainable development by applying green economy indicators

Following the global trend of sustainable development, development of green economy is the best way of slowing the negative ecological and environmental impact. This research establishes the Taiwan's green economic indicators based on the ecological footprint and energy analysis. The results are as follows: Taiwan's ecological footprint in 2008 intensity index was at 4.364; ecological overshoot index was at 3.364, showing that Taiwan's ecological system is in overload state. Moreover, this study utilizes energy analysis model to study the sustainable development of Taiwan. Findings showed that total energy use in 2008 was 3.14 × 10(23)?sej (solar energy joule, sej), energy of renewable resources was 1.30 × 10(22)?sej, energy of nonrenewable resources was 2.26 × 10(23)?sej, energy of products from renewable resources was 1.30 × 10(22)sej, energy of currency flow was 8.02 × 10(22)?sej and energy of wastes flow was 6.55 × 10(22)?sej. Taiwan's energy per capita and the utilization rate of energy is lower while the environmental loading rate is significantly higher comparing to some other countries. The foregoing findings indicate that Taiwan currently belongs to an economic development pattern based on high resource consumption. The economic development is mainly established on the exploitation and utilization of nonrenewable resources. Therefore, Taiwan should change the development pattern, regulate the industrial structure, promote the utilization rate of resources, develop green pollution-free products, and enhance the sustainable development of ecological economic system.     

Monitoring the condition of the Canadian forest environment: The relevance of the concept of ‘ecological indicators’

The Canadian forest environment is characterized by high spatial and temporal variability, especially in the west. Our forests vary according to climate, landform, and surficial geology, and according to the type, intensity, extent of, and the time since the last disturbance. Most Canadian forests have had a history of repeated acute, episodic disturbance from fire, insects, wind, diseases and/or logging, with a frequency of disturbance varying from a few decades to many centuries. These sources of variability have resulted in a complex and continually changing mosaic of forest conditions and stages of successional development.Monitoring the quality of this dynamic forested landscape mosaic is extremely difficult, and in most cases the concept of a relatively simple index of forest ecosystem quality or condition (i.e. an ecological indicator) is probably inappropriate. Such ecological indicators are better suited for monitoring chronic anthropogenically induced disturbances that are continuous in their effect (e.g. acid rain, heavy metal pollution, air pollution, and the greenhouse effect) in ecosystems that, in the absence of such chronic disturbance, exhibit very slow directional change (e.g. lakes, higher order streams and rivers). Monitoring the effects of a chronic anthropogenic disturbance to forest ecosystems to determine if it is resulting in a sustained, directional alteration of environmental quality will require a definition of the expected pattern of episodic disturbance and recovery therefrom (i.e. patterns of secondary succession in the absence of the chronic disturbance). Only when we have such a temporal fingerprint of forest ecosystem condition for normal patterns of disturbance and recovery can we determine if the ecosystem condition is being degraded by chronic human-induced alteration of the environment. Thus, degradation is assessed in terms of deviations from the expected temporal pattern of conditions rather than in terms of an instantaneous assessment of any particular condition. The concept of ecological rotation (the time for a given ecosystem to recover from a given disturbance back to some defined successional condition) is useful in the definition of these temporal fingerprints. This requires information on the intensity of disturbance, the frequency of disturbance, and the rate of successional recovery. Only when all three of these are known or estimated can statements be made as to whether the ecosystem is in a longterm sustainable condition or not.The somewhat overwhelming complexity of this task has led forest ecologists to use ecosystem-level computer simulation models. Appropriately structured and calibrated models of this type can provide predictions of the overall temporal patterns of ecosystem structure and functions that can be expected to accompany a given frequency and character of episodic disturbance. Such models can also be used to examine the long-term consequences of chronic disturbances such as acid rain and climatic change. Predictive ecosystem-level models should be used in conjunction with some method of stratifying the inherent spatial biophysical variability of the forest environment, such as the biogeoclimatic classification system of British Columbia.     

Energy storage selection for sustainable energy development: The multi-criteria utility analysis based on the ideal solutions and integer geometric programming for coordination degree

The choice of the energy storage technology involves multiple criteria that need to be simultaneously considered in the energy planning process. The development of sustainable energy system requires to take into account not only technical characteristics of storage technologies but also to pursue sustainability issues. The paper aims to perform not-site-specific sustainability assessment of the main types of energy storage technologies (mechanical, chemical, electrochemical and thermal) based on the developed advanced multi-criteria technique. The paper follows the vein of the coordinated Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and extends it to the interval environment. A geometric integer programming model is introduced to identify the interval for the degree of coordination. The proposed method is, therefore, able to handle uncertainty and coordinate performance of the alternatives with respect to multiple criteria. Sustainability assessment of energy storage technologies is performed based on the most important technological, economic, environmental and social criteria. The results showed that the most sustainable energy storage technologies are mechanical and thermal ones (utility scores range in between 1 and 0.75). The remaining technologies exhibit utility scores of 0.69 at most. The least appealing options are electrochemical storage technologies.     

The mutualism of strategic environmental assessment and sustainable development goals

The Sustainable Development Goals (SDGs) set a universal agenda intended to stimulate social, economic and environmental action. Strategic Environmental Assessment (SEA) has the potential to assist in the implementation of actions supporting the SDGs by providing a systematic framework to incorporate them into policies, plans and programmes; and the SDGs in turn, could substantiate SEA's contribution to sustainable development. Therefore, the partnering of both policy instruments fosters a mutualistic relationship, benefiting both. In this paper, we review current engagement of SEA with the SDGs both in the academic literature and in practice. The findings reveal a recognisable subtle shift towards the adoption of a new paradigm in plan-making, particularly supported by governments' growingly proactive embracement of SDGs, albeit through different approaches, initiatives and commitments. This sets a robust foundation for spatial planning and, by extension, a reference framework for SEA. Nevertheless, operationalising the SDGs is difficult. The extent to which SDG objectives and targets are embedded in SEA and, indeed, integrated into plans/programmes seems to be hampered by the broad scope of both sustainability and SEA, and a general lack of awareness and know-how. This suggest a need to clarify SEA's mandate for engaging with the SDGs, as well as to provide training for a more proactive integration of the objectives and targets. Through initiatives such as these, there are opportunities to optimise mutual gains for both policy instruments.     

Studies of the effect of simulated acid rain on the ecological equilibrium of the soil system

Introduction to the problem of environmental pollution caused by acid depositions. Presentation of principles of the six-year field experiment with simulated acid rain. Short characteristics of particular parts of the series of papers.     

A DSS for sustainable development and environmental protection of agricultural regions

This paper presents a decision support system (DSS) for sustainable development and environmental protection of agricultural regions developed in the framework of the Interreg-Archimed project entitled WaterMap (development and utilization of vulnerability maps for the monitoring and management of groundwater resources in the ARCHIMED areas). Its aim is to optimize the production plan of an agricultural region taking in account the available resources, the environmental parameters, and the vulnerability map of the region. The DSS is based on an optimization multicriteria model. The spatial integration of vulnerability maps in the DSS enables regional authorities to design policies for optimal agricultural development and groundwater protection from the agricultural land uses. The DSS can further be used to simulate different scenarios and policies by the local stakeholders due to changes on different social, economic, and environmental parameters. In this way, they can achieve alternative production plans and agricultural land uses as well as to estimate economic, social, and environmental impacts of different policies. The DSS is computerized and supported by a set of relational databases. The corresponding software has been developed in a Microsoft Windows XP platform, using Microsoft Visual Basic, Microsoft Access, and the LINDO library. For demonstration reasons, the paper includes an application of the DSS in a region of Northern Greece.     

Global climate change and regional sustainable development: the case of Mackenzie Basin in Canada

Cohen et al. [16] suggest that in order to explore ways to bring climate change (CC) and sustainable development (SD) research together, it is necessary to develop more heuristic tools that can involve resource users and other stakeholders. In this respect, this paper focuses on methodological development in research to study climate change impacts and regional sustainable development (RSD). It starts with an introduction of an integrated land assessment framework (ILAF) which is part of the integrated phase of the Mackenzie Basin Impact Study (MBIS) in Canada. The paper then provides some articulation on how the integrated approach was applied in the Mackenzie Basin to show implications of climate change for RSD.     

Applying the grey assessment to the evaluation system of ecological green space on greening projects in Taiwan

This study is designed to develop an alternative evaluation method for ecological green space. It offers criteria for identifying ecological green space on building sites. The grey decision-making method is applied to assess the greening project at the first step. The evaluation items are rebuilt by the analytic hierarchy process (AHP) method at the second step. The range of standard values and the weighting values are also obtained by AHP. Grey classes are identified using the whitening weight function of the grey number. The evaluation system of the ecological green space is framed by grey clusters. We considered the factors of building environment and the scale of building sites in the ecological greenery of green building sites.This study proposes a new model to solve the problems hard to be quantified. Especially for those ecological benefits are too close to decide. Architects and landscape architects can input the engineering data and the design information into the ecological greenery assessment system. The identification and assessment system of green space is fit for Taiwan area. We will obtain the best greening project by the maximum value of absolute degree of grey incidence (max{varepsilon ( ij )}) in grey-decision making. The maximum value of synthetic clustering coefficient (max{sigma ( k )}) in grey clustering assessment reflects the quality and variation of green space.     

The ecological impact assessment of a proposed road development (the Slovak approach)

The construction of roads is one of the most widespread forms of natural landscape modification. Over the last 20 years, dozens of road constructions have been assessed in Slovakia, which makes it possible to talk about methodological positives and negatives. A special feature of Slovakia is that many planned or renovated roads are located in protected areas or are in contact with them (including Natura 2000 sites). Therefore, it is important to understand the scope of the roads' ecological impacts and find ways for their appropriate evaluation and incorporation into the Environmental Impact Assessment process. For this reason, the Ecological Impact Assessment methodology can be used as a basis for our research, which consists of three stages. In the first stage (scoping), a buffer circumventing the proposed road is created to determine the area for impact prediction and evaluation. Subsequently, the landscape structure and baseline landscape conditions are discussed, a map of current landscape structure is created and the current ecological status of the affected area is calculated. In the second stage (the evaluation of ecological resources), important ecological parts of the landscape are delineated. This step is based on the importance of previous information and its vulnerability, and leads to the mapping of the road ecological impact zone. In the third stage (impact assessment), important ecological parts are spatially correlated with the proposed road construction. Finally, the significance of ecological impacts of the activity is evaluated by applying specific criteria (duration, reversibility, magnitude, size and road ecological impact zone significance). A scale is proposed for each criterion to evaluate the total significance of impacts. In this way, detailed significant ecological impacts can be found which will help lead to proposed correct mitigation measures and a post-project analysis.     

Landscape ecological security assessment based on projection pursuit in Pearl River Delta

Regional landscape ecological security is an important issue for ecological security, and has a great influence on national security and social sustainable development. The Pearl River Delta (PRD) in southern China has experienced rapid economic development and intensive human activities in recent years. This study, based on landscape analysis, provides a method to discover the alteration of character among different landscape types and to understand the landscape ecological security status. Based on remotely sensed products of the Landsat 5 TM images in 1990 and the Landsat 7 ETM+ images in 2005, landscape classification maps of nine cities in the PRD were compiled by implementing Remote Sensing and Geographic Information System technology. Several indices, including aggregation, crush index, landscape shape index, Shannon’s diversity index, landscape fragile index, and landscape security adjacent index, were applied to analyze spatial–temporal characteristics of landscape patterns in the PRD. A landscape ecological security index based on these outcomes was calculated by projection pursuit using genetic algorithm. The landscape ecological security of nine cities in the PRD was thus evaluated. The main results of this research are listed as follows: (1) from 1990 to 2005, the aggregation index, crush index, landscape shape index, and Shannon’s diversity index of nine cities changed little in the PRD, while the landscape fragile index and landscape security adjacent index changed obviously. The landscape fragile index of nine cities showed a decreasing trend; however, the landscape security adjacent index has been increasing; (2) from 1990 to 2005, landscape ecology of the cities of Zhuhai and Huizhou maintained a good security situation. However, there was a relatively low value of ecological security in the cities of Dongguan and Foshan. Except for Foshan and Guangzhou, whose landscape ecological security situation were slightly improved, the cities had reduced values in landscape ecological security, with the most decreased number 0.52 in Zhaoqing. Results of this study offer important information for regional eco-construction and natural resource exploitation.     

Monoc programme: Scientific substantiation of the integrated global ocean ecological monitoring system

Man's exploitation of the World Ocean continues to increase both productively, i.e., utilization of fisheries and natural resources, and counterproductively, i.e., increased pollutant loading. This paper presents a scientific rationale for a global ecological monitoring programme which will address open as well as coastal waters.     

大连市近三十年大气环境变化及可持续发展对策

介绍了近三十年来大连市在经济快速发展 ,能源不断增加的情况下 ,空气质量得到明显改善 ,同时针对目前仍然存在的由能源结构不合理、机动车尾气、工业废气及二次扬尘等污染问题提出了发展循环经济、进行结构和布局调整、推进清洁生产、深化环境综合整治及加强立法执法和全民参与等可持续发展对策     

A study of assessment indicators for environmental sustainable development of science parks in Taiwan

This study adopted the ecological footprint calculation structure to calculate the ecological footprints of the three major science parks in Taiwan from 2008 to 2010. The result shows that the ecological footprints of the Hsinchu Science Park, the Central Taiwan Science Park, and the Southern Taiwan Science Park were about 3.964, 2.970, and 4.165 ha per capita. The ecological footprint (EF) of the Central Taiwan Science Park was the lowest, meaning that the influence of the daily operations in the Central Taiwan Science Park on the environment was rather low. Secondly, the population density was relatively high, and the EF was not the highest of the Hsinchu Science Park, meaning that, while consuming ecological resources, the environmental management done was effective. In addition, the population density in Southern Taiwan Science Park is 82.8 units, lower than that of Hsinchu Science Park, but its ecological footprint per capita is 0.201 units, higher than Hsinchu, implying its indicator management has space for improvement. According to the analysis result above, in the science parks, the percentages of high-energy-consuming industries were rather high. It was necessary to encourage development of green industries with low energy consumption and low pollution through industry transformation.     

基于NDVI指数的骆马湖水生植被分级研究

基于典型时段骆马湖LandsatTM遥感影像,利用归一化植被指数（NDVI）法对骆马湖水生植被进行分级研究.采用标准差分级方法,将骆马湖水生植被分为5个等级.研究结果表明,利用这种分级方法处理的图像能够较准确地反映骆马湖水生植被区域分布和等级分区,能够更准确地给出采砂区和生态保护区域的位置,增强湖区水生态环境保护工作的有效性和针对性.     

城市环境信息综合查询分析系统开发与应用实践

主要介绍了城市环境信息综合查询分析系统的建设目标、体系结构、数据组织、系统模块的功能、关键技术等.应用实践表明,开放的体系结构、通用的GIS平台,一体编码的数据库管理技术,规范标准的信息维护与评价体系等可为开发其它城市的环境信息系统提供借鉴.     

基于RS、GIS的城市绿地生态效益评价与预测模型

以遥感(RS)信息作为主要的数据来源,结合其他实地监测和统计数据,采用GIS技术进行数据分析和处理,建立城市绿地生态效益评价与预测模型,为城市绿地规划、改善城市生态环境提供定量化的科学依据。