An integrated sustainability decision-support framework Part I: Problem structuring

One of the main goals in decision-making for sustainable development is to identify and choose the most sustainable option from among different alternatives. This process usually involves a large number of stakeholders with multiple, often conflicting, objectives. Facilitating and resolving such difficult decision situations can be complex, so that a more formal and systematic approach to decision-making may be necessary. This two-part paper proposes an integrated multiple criteria decision-support framework specifically developed to provide systematic, step-by-step guidance to decision-makers. The framework, which is suitable for both corporate and public policy-making in the context of sustainable development, comprises three steps: problem structuring, problem analysis and problem resolution. In this paper, the focus is on problem structuring while Part II concentrates on problem analysis and resolution. Problem structuring includes identification of stakeholders, sustainability issues and indicators relevant for a particular decision problem. Sustainability indicators are used as decision criteria for identifying and choosing the most sustainable option. In the problem analysis step, decision makers articulate their preferences for different decision criteria. A suitable Multiple Criteria Decision Analysis (MCDA) technique, such as multi-objective optimisation, goal programming, value-based and outranking approaches, is then used to model the preferences. These techniques are discussed in Part II, which also gives guidance on the choice of the most appropriate MCDA method. Based on the outcome of preference modelling, which estimates the overall 'value' of each alternative being considered, decision-makers can then choose the 'best' or most sustainable option. Such an integrated decision-support framework is useful for providing structure to the debate, ensuring dialogue among decision-makers and showing trade-offs between conflicting objectives. In this way, it may be possible to create shared understanding about the issues, generate a sense of common purpose, and often, resolve 'difficult' decision problems.     

An integrated sustainability decision-support framework Part II: Problem analysis

One of the main goals in decision-making for sustainable development is to identify and choose the most sustainable option among different alternatives. This process usually involves a large number of stakeholders with multiple, often conflicting objectives. Facilitating and resolving such difficult decision situations can be complex, so that a more formal and systematic approach to decision-making may be necessary. This paper proposes an integrated multiple criteria decision-support framework specifically developed to provide a systematic, step-by-step guidance to decision-makers. The framework, which is suitable for both corporate and public policy-making in the context of sustainable development, comprises three steps: problem structuring, problem analysis and problem resolution. This paper concentrates on problem analysis and resolution, where decision-makers articulate their preferences for different decision criteria. A suitable Multiple Criteria Decision Analysis (MCDA) technique, such as multi-objective optimisation, goal programming, value-based and outranking approaches, is then used to model the preferences. These techniques are discussed here in some detail, to provide guidance on the choice of the most appropriate MCDA method. Based on the outcome of preference modelling, which estimates the overall 'value' of each alternative being considered, decision-makers can then choose the 'best' or most sustainable option. Such an integrated decision-support framework is useful for providing structure to the debate, ensuring dialogue among decision-makers and showing trade-offs between conflicting objectives. In this way, it may be possible to create shared understanding about the issues, generate a sense of common purpose and, often, resolve 'difficult' decision problems.     

A GIS-based moving window analysis of landscape pattern in the Beijing metropolitan area,China

Quantifying landscape pattern and its change is essential for monitoring and assessment of ecological consequences of urbanization. Using the GIS-based land-use data for 2002, we combined moving window analysis along an urban-rural gradient and around the urban centre with landscape metrics to quantify the spatial pattern of urbanization in Beijing. The results of moving window analysis along the urban-rural gradient indicated that, for class-level metrics, the spatial pattern of urbanization could be quantified using landscape metrics, different land-use types exhibited distinctive spatial signatures, and, for landscape-level metrics, the increase in urbanization in the metropolitan Beijing region has resulted in dramatic increases in patch density (PD), edge density (ED), and patch and landscape shape complexity, and sharp decreases in the largest and mean patch size (MPS), agriculture land-use type, and landscape connectivity. The results of moving window analysis around the urban centre showed that the direction of urbanization could be quantified using the class-level metrics, and landscape-level metrics indicated similar results to gradient analysis. In general, moving window analysis showed that the increasingly urbanized landscape became compositionally more diverse, geometrically more complex, and ecologically more fragmented.     

Contrasting visions of food and farming sustainability: NGOs versus the UK Labour government

In a previous issue of the International Journal of Sustainable Development and World Ecology I described how competing visions of sustainable agriculture are currently battling for hegemonic status (Johnson 2006). One vision seeks to break the hegemony of productionism and the other seeks to continue down its path with a greater emphasis on biotechnology. In this paper, I wish to explore these visions further as they apply to actual existing strategies for sustainable farming and food in the UK. This paper uses discourse analysis to compare the UK government's vision for sustainable farming and food sectors with that of two NGOs: Friends of the Earth and Corporate Watch. The language and discourse in the government's and NGOs' strategy documents is examined for evidence indicating their ideological conception of agricultural sustainability. The paper concludes that, whilst the NGOs are pursuing a strong vision of sustainability, seeking to break productionism's hegemony, the UK government is pursuing an ideologically weak-tomoderate conceptualisation of sustainability, pursuing the high-technology modified version of agricultural productionism.     

Identification of agricultural factors for improving sustainable land resource management in northern Thailand: A case study in Chiang Mai Province

This paper aims to identify the land-use factors benefiting sustainable land management in terms of environmental conservation. For evaluating the impacts of land use on the environment, the following parameters were used: chemical fertiliser and pesticide use, land-use structure and diversity. The farmers' income, land tenure and farming scale were selected for their influence on agricultural sustainability. The analysis shows a rapid increase in use of chemical fertiliser and pesticide in the past 40 years, and an observable increase in land-use diversity. The amount of chemical fertiliser used per unit area in large-scale farming was lower than that at small scales, but large-scale farming consumes more pesticide than small-scale farming. A significant negative correlation was observed between the proportions of the holdings possessing land and the holdings using the chemical fertiliser. In order to achieve sustainable agriculture, it is necessary to manage crop systems and land use towards selecting new strains and varieties of crops and fruits with a lower demand for chemical fertiliser and a higher resistance to disease and pests, balancing large- and small-scale farming, and ensuring land tenure and economic incentives.     

Multi-scale sustainability evaluation of natural resource management systems: Quantifying indicators for different scales of analysis and their trade-offs using linear programming

The purposes of this paper are: (a) to describe a framework designed for multi-scale sustainability evaluation of Natural Resource Management Systems (NRMS), and (b) to illustrate its application for quantitative analysis using linear programming. The framework described here is intended to contribute to the operationalisation of the concept of sustainability by supporting the processes of design, evaluation and implementation of alternative NRMS at different scales. In this paper, Linear Programming is used for the quantitative analysis of indicators and their trade-offs; using a schematised example, the basic characteristics of the Multi-scale Multiple Goal Linear Programming (M-MGLP) method are described. In M-MGLP, indicators pertaining to different scales of analysis can be set as objectives or constraints for the optimisation. In this way, stakeholders interacting in a specific region can be made aware of the consequences of alternative NRMS in terms of the different indicators at the same scale and/or for indicators at other scales of analysis. The paper ends with a discussion of the main strengths and limitations of the framework and, specifically, of linear programming.     

Under the shadow of Asian Brown Clouds: Unbalanced regional productivities in China and environmental concerns

China has seen rapid economic growth over the past two decades, but severe environmental problems have accompanied this, such as the looming danger of Asian Brown Clouds. This paper analyzes the regional development of China by examining economic performance and environmental factors. Technical efficiency and productivity changes in 31 regions of China are computed for the period 1997–2001. In the case of regional GDP, the fast-developing eastern (coastal) regions experience higher technical efficiency and productivity growth than the inland central and western regions. When environmental factors are incorporated, the eastern regions still perform better than inland regions, both from static and dynamic analysis. This phenomenon is termed the 'double deterioration' of the inland areas in China. Double deterioration is attributed to the lack of economic resources to replace highly-polluting production equipment and technology in those less developed regions.     

Socio-environmental co-evolution: some ideas for an analytical approach

A number of scholars, mainly in ecological economics, have been attracted to the concept of co-evolution for the analysis of socio-environmental change. Yet none has adopted and developed an applied analytical approach using an explicitly evolutionary framework. This paper discusses how other scholars in economics, technological studies, organization and political science have been using evolutionary explanations and draws some lessons for ecological economics. Evolutionary is a mode of explanation based on the selective retention of renewable variation. It accounts for phenomena of structural fit and change in a variety of domains. A co-evolutionary explanation, by extension, entails two or more evolving systems whose interaction affects their evolution. Socio-environmental co-evolution involves human systems (material practices and non-material ideas and values) and non-human systems (living and physical). The challenge then is how to develop case-specific, empirical applications that define and elaborate the variants that co-evolve and specify the processes of mutual selection. Applications could benefit from existing classifications and causal propositions in the natural and social sciences. Co-evolution is part of a larger analytical toolkit for looking at complex socio-environmental problems. Although distinct, there are strong synergies, complementarities and potential for combined uses between co-evolutionary, co-dynamic and complexity-based explanations.     

Theoretical foundations of learning processes for sustainable development

Social-ecological systems are co-evolving systems. Of particular relevance are here: (1) co-evolution of the environment and governance, (2) co-evolution of technology and governance, and (3) co-evolution of human behaviour and culture. The co-evolutionary perspective has helped to understand the processes which led to the present unsustainable situation. This paper highlights different types of learning processes which occur in co-evolving systems and explores learning processes on the macro-, meso- and micro-levels for moving onto more sustainable paths. While the literature in environmental management, ecological economics or sustainability science often refers to the need for learning processes, the conceptualisation of learning and the link to learning theories is weak. This paper draws on learning theories from psychology, social psychology, education, evolutionary economics and political science and offers a first step toward theoretical foundations of learning processes for sustainable development. An improved understanding of these learning processes will provide important clues for policy recommendations on multiple scales.     

Designing for nature and sustainability

Humankind is now using natural resources more rapidly than natural systems can replace them and has been doing so for approximately two and a half decades. Moreover, both natural capital and the ecosystem services it provides are being diminished at an unprecedented rate. Finally, the human population is expected to increase by three billion by 2050. This situation is clearly unsustainable, but it can be made less so by redesigning societal wastes so that they benefit the biospheric life-support system. Nature initiates and maintains a system of energy and nutrient cycling and, if the system integrity is maintained, provides alternative and redundant means that help stabilize functional capacity. The system is composed of opportunistic individuals that compete with other individuals to acquire the resources essential to their survival. The interrelationships within this aggregation of individuals (i.e. system components) are based on energy flow. This self-organizing and self-maintaining system is increasingly stressed by human activities. Humans are a part of, not apart from, this system and are governed by the same laws of nature. In short, an ecologically-based economic system is essential to sustainable use of the planet. The planet's life-support system has been a superb model of sustainability, which humans should emulate and become a part of more than they now are. When the biospheric life-support system is stressed to the point of disequilibrium, the results are disastrous for societies, individuals and ecosystems. Evolutionary processes have produced replacement systems following the five great biological extinctions. However, the probability is high that the next replacement system will not be as suitable for humankind as the present system. Sustainable practices are intended to prevent biospheric disequilibrium and maintain the present environmental conditions so favorable to humankind, including posterity.