Showing papers in "Sustainability Science in 2014"
••
TL;DR: In this article, the authors explore the limitations of sustainability science research to move the field beyond the analysis of problems in coupled systems to interrogate the social, political and technological dimensions of linking knowledge and action.
Abstract: Over the last decade, sustainability science has been at the leading edge of widespread efforts from the social and natural sciences to produce use-inspired research. Yet, how knowledge generated by sustainability science and allied fields will contribute to transitions toward sustainability remains a critical theoretical and empirical question for basic and applied research. This article explores the limitations of sustainability science research to move the field beyond the analysis of problems in coupled systems to interrogate the social, political and technological dimensions of linking knowledge and action. Over the next decade, sustainability science can strengthen its empirical, theoretical and practical contributions by developing along four research pathways focused on the role of values in science and decision-making for sustainability: how communities at various scales envision and pursue sustainable futures; how socio-technical change can be fostered at multiple scales; the promotion of social and institutional learning for sustainable development.
421 citations
••
TL;DR: In this article, the authors establish an in-depth understanding of the activities and roles of researchers by specifying ideal-type roles that researchers take when dealing with key issues in creating and maintaining space for societal learning.
Abstract: In sustainability science, the tension between more descriptive–analytical and more process-oriented approaches is receiving increasing attention. The latter entails a number of roles for researchers, which have largely been neglected in the literature. Based on the rich tradition of action research and on a specific process-oriented approach to sustainability transitions (transition management), we establish an in-depth understanding of the activities and roles of researchers. This is done by specifying ideal-type roles that researchers take when dealing with key issues in creating and maintaining space for societal learning—a core activity in process-oriented approaches. These roles are change agent, knowledge broker, reflective scientist, self-reflexive scientist and process facilitator. To better understand these ideal-type roles, we use them as a heuristic to explore a case of transition management in Rotterdam. In the analysis, we discuss the implications of this set of ideal-type roles for the self-reflexivity of researchers, role conflicts and potentials, and for the changing role of the researcher and of science in general.
351 citations
••
TL;DR: In this article, a review of quality criteria for sustainability visions and guidelines on how to rigorously craft such visions are scattered over different strands of the literature and some are insufficiently developed.
Abstract: Envisioning how a desirable future might look is a long-standing effort in human evolution and social change. Utopian thought and visions provide direction for actions and behavior; more so, they create identity and community. Accordingly, the discourse on sustainability and sustainable development has recognized that positive visions about our societies’ future are an influential, if not indispensable, stimulus for change. Visioning is, thus, considered a key method in sustainability research and problem solving, for instance, in transformational sustainability science or in planning for urban sustainability. Yet, quality criteria for sustainability visions and guidelines on how to rigorously craft such visions are scattered over different strands of the literature and some are insufficiently developed. The goal of this article is to review and synthesize such quality criteria and design guidelines to inform sustainability visioning methodology. The review provides a concise reference framework for sustainability students, researchers, and professionals on how to enhance their sustainability visioning practices.
279 citations
••
TL;DR: In this paper, a literature survey of transdisciplinary research is used to identify the assumptions that underlie the positive relationship between transdisciplinarity and societal problem solving for sustainability, and the claim that in-depth participation of users and the integration of relevant knowledge from both practice and research in real-world problem contexts produce socially robust results that contribute to sustainability.
Abstract: Transdisciplinarity is often presented as a way to effectively use scientific research to contribute to societal problem solving for sustainability The aim of this paper is to critically explore this statement This is done in two ways First, a literature survey of transdisciplinary research is used to identify the assumptions that underlie the positive relationship between transdisciplinarity and societal problem solving for sustainability This mapping identifies the claim that in-depth participation of users and the integration of relevant knowledge from both practice and research in real-world problem contexts produce socially robust results that contribute to sustainability Second, the ability to live up to this claim is presented and discussed in five case study projects from Mistra Urban Futures, a transdisciplinary center in Goteborg, Sweden The conclusions show that transdisciplinary processes, which fulfill the above conditions, do produce different types of socially robust knowledge, but this does not necessarily result in the ability to influence change in a sustainable direction This instead creates a paradox in that the participation of stakeholders and the integration of knowledge from diverse sources require spaces that are both embedded in and insulated from practice and science proper Such spaces produce results that are not easily aligned with sector-based target groups and formal policy processes Institutionalizing transdisciplinarity in a boundary organization therefore solves some problems regarding participation and balanced problem ownership However, it also creates new, hybrid problems, regarding knowledge transfer and scalability, which bridge the boundaries and challenge the praxis of planning and policy making
151 citations
••
TL;DR: In this paper, the current status of sustainability research using citation and text analysis is analyzed and it is found that previously separated research clusters investigating discipline-focused issues are becoming integrated into those studying coupled systems.
Abstract: Sustainability science is a rapidly expanding field, particularly given the current ecological crises facing many parts of the globe today. To generate a snapshot of the state of sustainability science, we analyzed the current status of sustainability research using citation and text analysis. By reflecting social needs on sustainability science and the increasing number of publications in this field, the landscape is expected to change during the last decade. Our results indicate that previously separated research clusters investigating discipline-focused issues are becoming integrated into those studying coupled systems. We also found the existence of hub clusters bridging different clusters like socio-ecological systems and transition management. We also observed a variety of other emerging research clusters, especially in energy issues, technologies, and systems. Overall, our analysis suggests that sustainability science is a rapidly expanding and diversifying field, which has affected many disparate scientific disciplines and has the potential to feed scientific understanding on socio-ecological systems and to drive society toward transition for sustainability.
131 citations
••
TL;DR: A definition of integrative research as “research in the context of complexity, with an action imperative” is drawn, and four principles that can be used by researchers to guide the design and implementation of their projects are proposed: embrace uncertainty; engage stakeholders; be transdisciplinary; and have a learning orientation.
Abstract: The importance of taking an integrative approach to research has long been integral to sustainability science, and has recently been highlighted as fundamental to the co-design of research and co-production of knowledge. Just what this means, however, and how to implement such a broad notion has escaped effective methodological development. In order to become more than a generic descriptor, integrative research needs to be conceptualized and presented in ways that offer guidance to researchers designing and conducting integrative research projects, whilst remaining broad enough to be relevant to the breadth and depth of sustainability-related problems. Drawing on complexity theory and fundamental aspects of integrative research, I present a methodological framing that seeks to achieve this balance. Using a definition of integrative research as “research in the context of complexity, with an action imperative”, I draw from complexity theory that proposes minimal specifications, generative relationships, focusing on enablers and seeking diversity as core features of a complexity-based approach. On that basis I propose four principles that can be used by researchers to guide the design and implementation of their projects: embrace uncertainty; engage stakeholders; be transdisciplinary; and have a learning orientation. Each of these principles is explained, and their relationships to research design, methodological framing, choice of methods and project development are presented. Two integrative research project frameworks are presented as examples of how this principles-based approach can be implemented in research design. Using this approach offers a simple but powerful structure to guide integrative research for sustainability science at the project scale.
101 citations
••
TL;DR: In this article, a conceptual approach to scenario building aimed at transdisciplinary learning for sustainable water governance is presented and evaluated, which combines normative, explorative, and participatory scenario elements for adequate consideration of stakeholders' and scientists' systems, target, and transformation knowledge.
Abstract: Competing water demands for household consumption as well as the production of food, energy, and other uses pose challenges for water supply and sustainable development in many parts of the world. Designing creative strategies and learning processes for sustainable water governance is thus of prime importance. While this need is uncontested, suitable approaches still have to be found. In this article we present and evaluate a conceptual approach to scenario building aimed at transdisciplinary learning for sustainable water governance. The approach combines normative, explorative, and participatory scenario elements. This combination allows for adequate consideration of stakeholders’ and scientists’ systems, target, and transformation knowledge. Application of the approach in the MontanAqua project in the Swiss Alps confirmed its high potential for co-producing new knowledge and establishing a meaningful and deliberative dialogue between all actors involved. The iterative and combined approach ensured that stakeholders’ knowledge was adequately captured, fed into scientific analysis, and brought back to stakeholders in several cycles, thereby facilitating learning and co-production of new knowledge relevant for both stakeholders and scientists. However, the approach also revealed a number of constraints, including the enormous flexibility required of stakeholders and scientists in order for them to truly engage in the co-production of new knowledge. Overall, the study showed that shifts from strategic to communicative action are possible in an environment of mutual trust. This ultimately depends on creating conditions of interaction that place scientists’ and stakeholders’ knowledge on an equal footing.
90 citations
••
TL;DR: In this article, the authors explored the interaction between livestock and predators in the upper Mustang region of Nepal in terms of economic and ecological impacts, and suggested four approaches to mitigate human-carnivore conflict in the region: (a) introduce a livestock insurance policy, (b) promote the use of predator-proof livestock corrals and sheds, (c) involve local people in alternative income generating activities, and (d) increase conservation education in these regions.
Abstract: Human communities in the Trans-Himalayan region depend on the dynamics of the agro-pastoral system for survival. Humans, livestock and wild predators share common resources in the region, and this leads to human–wildlife interactions that have the potential to threaten the continued viability of this fragile ecosystem and impact the local economy. This study explored the interaction between livestock and predators in the upper Mustang region of Nepal in terms of economic and ecological impacts. A total of 1,347 km2 of pasture land were grazed by 30,217 livestock belonging to local people from six village development committees. It was found that the seasonal movement patterns of livestock, from higher to lower elevations (closer to villages), coincided with elevation movements of wild ungulate prey and snow leopards into this smaller land area. The number of livestock reported to have been killed by predators during the study period was 706, 75 % of which was attributed to snow leopards. An estimated US$ 44,213 was lost between October 2009 and June 2011 due to livestock predation. These losses of livestock to snow leopards and other carnivores provoked retaliatory killings by villagers, and this in turn may significantly affect the viability of predator populations in this region. We suggest four approaches to mitigate human–carnivore conflict in the region: (a) introduce a livestock insurance policy, (b) promote the use of predator-proof livestock corrals and sheds, (c) involve local people in alternative income generating activities, and (d) increase conservation education in these regions.
89 citations
••
TL;DR: In this paper, the authors examine the decision-making challenges facing internationally supported climate change adaptation projects, using the example of efforts to implement coastal protection measures (e.g. sea walls, mangrove planting) in Kiribati.
Abstract: International aid is increasingly focused on adaptation to climate change. At recent meetings of the parties to the United Nations Framework Convention on Climate Change, the developed world agreed to rapidly increase international assistance to help the developing world respond to the impacts of climate change. In this paper, we examine the decision-making challenges facing internationally supported climate change adaptation projects, using the example of efforts to implement coastal protection measures (e.g. sea walls, mangrove planting) in Kiribati. The central equatorial Pacific country is home to the Kiribati Adaptation Project, the first national-level climate change adaptation project supported by the World Bank. Drawing on interview and document research conducted over an 8-year period, we trace the forces influencing decisions about coastal protection measures, starting from the variability and uncertainty in climate change projections, through the trade-offs between different measures, to the social, political, and economic context in which decisions are finally made. We then discuss how sub-optimal adaptation measures may be implemented despite years of planning, consultation, and technical studies. This qualitative analysis of the real-world process of climate change adaptation reveals that embracing a culturally appropriate and short-term (~20 years) planning horizon, while not ignoring the longer-term future, may reduce the influence of scientific uncertainty on decisions and provide opportunities to learn from mistakes, reassess the science, and adjust suboptimal investments. The limiting element in this approach to adaptation is likely to be the availability of consistent, long-term financing.
88 citations
••
TL;DR: In this article, a logistic regression model for the adoption of sustainable agricultural practices (SAPs) by investigating the relative importance of a set of multidimensional factors in the Malaysian vegetable production sector is presented.
Abstract: This study develops the understanding of the adoption of sustainable agricultural practices (SAPs) by investigating the relative importance of a set of multidimensional factors in the Malaysian vegetable production sector. A factor approach is deployed to identify explanatory indicators within an integrative framework that is synthesized from the theory of interpersonal behavior and the theory of diffusion of innovation. We achieved this by analyzing a logistic regression model for the adoption of six individual SAPs (conservation tillage, intercropping, cover crops/mulches, crop rotation, organic fertilizers/composts, and integrated pest management). The findings indicate that adoption depends on a range of socio-economic, agro-ecological, institutional, informational, and psychological factors, as well as the perceived attributes of SAPs. Fundamental policy understanding of the issue should, therefore, be multidisciplinary. In addition, standardized coefficients reveal that the impact of statistically significant factors on adoption is unequal. In general, the most influential factor is the asymmetric distribution of resources across geographical locations. This is followed by financial capital and a number of factors, including the workforce size, the usefulness of information, Chinese ethnicity, and the perceived relative advantage of SAPs. Guided by this prioritization understanding, future SAPs promotion now has a better opportunity to target the more important areas. Similar research effort should be made to steer sustainable agriculture internationally.
87 citations
••
TL;DR: In this article, the authors assess the potential as well as the limitations of innovative theatre-based participatory tools and methods aimed at supporting sustainability learning and agent transformation, and assess to what extent these new approaches can be of relevance in environmental action research and sustainability science, practice and learning.
Abstract: Coping with global environmental change demands new forms of civic engagement and interaction able to transform passive audiences attending to the drama of unsustainability into committed actors for sustainability. This entails linking diverse sources of scientific knowledge with personal experiences, emotion and ethical judgments. In this paper, we assess the potential as well as the limitations of innovative theatre-based participatory tools and methods aimed at supporting sustainability learning and agent transformation. To this aim, we first review a series of experiences using theatrical performance and introduce the notion of performative methods. Second, we assess to what extent these new approaches can be of relevance in environmental action research and sustainability science, practice and learning. Finally, we list a series of key research questions to further guide methodological innovation in this promising area of sustainability science and practice. Our findings show a growing and successful use of such methodologies worldwide, both in academia and in implementation-oriented approaches. An increasing number of topics and complexity is being embraced by these methods, offering a fertile ground for innovation in participatory sustainability science.
••
TL;DR: In this article, the effect of changing the planting date on the dry season rice yield was simulated by using the software Decision Support System for Agrotechnology Transfer (DSSAT 4.5) for four rice varieties grown in Kurunegala district, Sri Lanka under expected climate change.
Abstract: The effect of changing the planting date on the dry season rice yield was simulated by using the software Decision Support System for Agrotechnology Transfer (DSSAT 4.5) for four rice varieties grown in Kurunegala district, Sri Lanka under expected climate change. Daily weather data up to the year 2090 were downscaled to the district from Global Climate Model outputs under the emission scenarios A2 and B2 published by the Intergovernmental Panel on Climate Change using the Statistical Downscaling Model (SDSM 4.2). The DSSAT model was applied to simulate future rice yields from four rice varieties grown in the district under three different planting dates: (1) planting in May—the base condition; (2) advancing the planting date by 1 month, i.e., to June; and (3) planting 1 month earlier, i.e., in April. Results show that the seasonally averaged dry season rice yield would increase compared to the base condition when the planting date is advanced by 1 month and, on the other hand, the seasonally averaged rice yield would decrease compared to the base condition when the planting date is delayed by 1 month for all four varieties under both A2 and B2 scenarios. Advancing the rice planting date by 1 month for all four rice varieties can be identified as a non-cost climate change adaptation strategy for rice production in Kurunegala district.
••
TL;DR: In this paper, the authors present a composite methodology for obtaining spatial and temporal projections of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the associated spatio-temporal impacts on peak household electrical load.
Abstract: This paper presents a composite methodology for obtaining spatial and temporal projections of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the associated spatio-temporal impacts on peak household electrical load. The methodology comprises a suite of models of future EV uptake, travel by households, household electricity demand and recharge/discharge of EVs at their home locations. The analysis is disaggregated to hourly time-steps over a full year, and spatially to mesh blocks comprising around 250 houses per block. The modelling suite is applied to an analysis of peak household load impacts across the state of Victoria, Australia, under nine different combinations of EV uptake and charging/discharging behaviour. The projected increase in peak household electrical loads under expected penetration rates and charging demands is less than 10 % on most high-demand days, but can be up to 15 % on a handful of days and geographic locations. Peak-load impacts under off-peak charging are mostly less than 5 %. With judicious EV discharging strategies, there is potential to shave peak loads on the highest demand days by up to 5 %.
••
TL;DR: It is argued that sustainability is a vague, emergent system property of often wicked complexity that arises out of more fundamental elements and processes that can help to frame meaningful discussions, from which actions might emerge.
Abstract: Concepts of agricultural sustainability and possible roles of simulation modelling for characterising sustainability were explored by conducting, and reflecting on, a sustainability assessment of rain-fed wheat-based systems in the Middle East and North Africa region. We designed a goal-oriented, model-based framework using the cropping systems model Agricultural Production Systems sIMulator (APSIM). For the assessment, valid (rather than true or false) sustainability goals and indicators were identified for the target system. System-specific vagueness was depicted in sustainability polygons—a system property derived from highly quantitative data—and denoted using descriptive quantifiers. Diagnostic evaluations of alternative tillage practices demonstrated the utility of the framework to quantify key bio-physical and chemical constraints to sustainability. Here, we argue that sustainability is a vague, emergent system property of often wicked complexity that arises out of more fundamental elements and processes. A ‘wicked concept of sustainability’ acknowledges the breadth of the human experience of sustainability, which cannot be internalised in a model. To achieve socially desirable sustainability goals, our model-based approach can inform reflective evaluation processes that connect with the needs and values of agricultural decision-makers. Hence, it can help to frame meaningful discussions, from which actions might emerge.
••
TL;DR: In this article, a content analysis was conducted on 329 CSR/sustainability reports from 50 leading European companies from Euro Stoxx 50 that were published between the beginning of online CSR and sustainability reporting in 1998 and 2010.
Abstract: This paper empirically examines the terminology used in the titles of corporate social responsibility (CSR)/sustainability reports in Europe. Our data supports the claim of the rise of the sustainability concept in corporate communication in comparison to other concepts. In detail this research analysed CSR/sustainability reports to support Matten and Moon’s [Acad Manage Rev 33(2):404–424, 2008] hypothesis regarding a recent European trend towards a more voluntary and explicit CSR practice. The second and main objective of the research was to describe statistically significant trends in the use of terms and concepts in CSR/sustainability reporting to better understand how European companies interpret CSR and sustainability and how they communicate it to their stakeholders. To this end, a content analysis was conducted on 329 CSR/sustainability reports from 50 leading European companies from Euro Stoxx 50 that were published between the beginning of online CSR/sustainability reporting in 1998 and 2010. Our data analysis clearly indicates that the use of social and environment-related terms occurred more frequently in the past and demonstrates the establishment of sustainability in corporate non-financial reporting. Based on the results of our empirical research, the final discussion explores the development and diffusion of the sustainability concept in both the academic and business fields and examines economic, environmental, and social implications. Different propositions are presented to explain the recent rise of the sustainability concept in European CSR/sustainability reporting, adding to the formation of sustainability as a concept and as a science.
••
TL;DR: In this paper, the authors assessed rice farming sustainability in Bangladesh by developing a composite indicator under the four pillars of sustainability and examines the main determining factors, including human capital development, increasing land productivity, use of resource conserving practices and technologies, and information availability and accessibility.
Abstract: Farming sustainability is primordial to long-term socioeconomic development. This study assesses rice farming sustainability in Bangladesh by developing a composite indicator (CI) under the four pillars of sustainability and examines the main determining factors. The assemblage of top-down and bottom-up approaches were applied to generate an essential set of indicators and data were collected through a household survey from 15 villages of three major rice growing ecosystems. The results revealed that less than half of the rice growers were sustainable in terms of economical viability, ecological benefits, and quality of life. By category, Boro rice farming was found to be the most sustainable, followed by Aman and Aus rice farming. Human capital development, increasing land productivity, use of resource conserving practices and technologies, and information availability and accessibility were the main factors promoting rice farming sustainability. The findings indicated that the construction of CI by employing several methodologies such as normalisation provide straightforward and clear-cut policy inputs. The major policy implications that emerged from the findings of the study are outlined to actualise rice farming sustainability, which contributes to sustainable development in Bangladesh.
••
TL;DR: The capacity of a concentrating solar thermal power (CSP) plant can be considered flexible and firm, just like that of a conventional steam cycle power station as discussed by the authors, enabling a CSP plant to deliver power on demand at any time.
Abstract: The capacity of a concentrating solar thermal power (CSP) plant can be considered flexible and firm, just like that of a conventional steam cycle power station. Periods without sunshine can be bridged by thermal energy storage or fuel, enabling a CSP plant to deliver power on demand at any time. To this technical quality is added the economic quality of electricity costs that will be stable for a lifetime because they are mainly composed of capital costs, spare parts and personnel. CSP is competitive with power from fuel oil and moving to break even in costs with natural gas by around 2020 and steam coal by around 2025. Carbon dioxide emissions of 10–40 tons/GWh, land use of 250–550 m²/GWh and water consumption of 250 m³/GWh (using dry cooling) compare favorably with other energy sources. Environmental benefits, the technical imperative of firm and at the same time flexible power supply, and the economic targets of affordability and cost stability are the main reasons for a significant role for CSP in a sustainable future electricity mix. Two case studies show the different roles CSP can play north and south of the Mediterranean Sea, in one case importing CSP to Germany for flexible power and in the second case using CSP in Jordan to provide firm and at the same time renewable power capacity for the quickly growing electricity demand.
••
TL;DR: Kauffman et al. as discussed by the authors explored the need for and ways to promote greater integration and cooperation in fulfilling the sustainability science mandate, and pointed out that a higher level of knowledge integration and greater (tighter) cooperation between the generators and users of such knowledge are needed to overcome barriers to meeting these challenges.
Abstract: Since this journal was launched in 2006 to provide a platform for the pioneers of sustainability science (Komiyama and Takeuchi 2006), the science has matured in the development of theory and methodologies to address the potentially devastating consequences of the present development paradigm. The gains in research, however, do not mean that sustainability science in its present state will fulfill its promise of transformational change (Van der Leeuw et al. 2012). Hurdles remain, including insufficient engagement with stakeholder groups (Wiek et al. 2012), lack of robust communication and entrepreneurial skills on the part of scientists generally (Baron 2010; Brownell et al. 2013), the need for better support (structural and intellectual) within the academy to attract and maintain committed scholars to the field, and enhanced qualitative and quantitative meta-studies to make better use of experiences and evidence emerging from sustainability science research (Wiek et al. 2012). In sum, these challenges are symptomatic of a disconnect between the nascent science and society. If sustainability scientists are going to contribute to transformative change to achieve sustainable development, they must accept roles that go beyond traditional reflective scientist modes and that are outside of their professional comfort zones. It is clear that a higher level of knowledge integration and greater (tighter) cooperation between the generators and users of such knowledge are needed to overcome barriers to meeting these challenges. (Frodeman et al. 2010; Wiek et al. 2012; Komiyama 2014). Recognizing this, sustainability science has called for this special issue to explore the need for and ways to promote greater integration and cooperation in fulfilling the sustainability science mandate. As Kates (2010) points out ‘‘the distinctive knowledge created by sustainability science is use-inspired and, at its best, provides solutions to real-world problems encountered for the needs of a sustainability transition’’, which Wiek et al. (2012) have called ‘‘transformational change’’. The problems sustainability science is meant to address have not diminished in the twentieth century. The 2014 report of Working Group II of the Intergovernmental Panel on Climate Change (IPCC 2014) is sobering in its predictions, yet hopeful with regard to our capacity to change. The Rio?20 Conference on Sustainable Development similarly agreed that it was possible to overcome the hurdles to sustainable development by the Millennium Development Goals (MDGs) of 2000. In spite of limited progress in meeting those goals (United Nations and Millennium Development Goals Report 2011), delegates to Rio?20 launched an inclusive intergovernmental process to develop a set of sustainable development goals (SDGs), which will converge with the Post-2015 Millennium Development Goals to arrive at one global agenda, with sustainable development at its center. In this political arena, sustainability science, with its problem-focused and solution-oriented transdisciplinary approach, provides a useful tool, methodology and basis for dealing with interconnected problems and integrating knowledge from all disciplines to develop this new global agenda. But to realize this goal, sustainability science must itself break J. Kauffman (&) Integrated Research System for Sustainability Science (IR3S), The University of Tokyo, and Massachusetts Institute of Technology (retired), Le Clavet, 83670, Fox Amphoux, France e-mail: Kauffman@alum.mit.edu
••
TL;DR: In this article, the authors provide a review and analysis of the concept of urban sustainability and propose the development of a holistic framework through integration of environmental, economic, social, and governance dimensions of sustainability.
Abstract: Global urban development is increasingly becoming an aspect of focus as nations fight sustainability challenges. A review of the current literature on urban sustainability suggests that research on development of cities, in both developed and developing countries, is growing fast, with an emphasis on sustainable development. However, very little of this research contains an integrated framework to systematically identify and examine the various dimensions of urban sustainability and to measure and evaluate them appropriately. Cities are more than the sum of their sectors, and are complex and interdependent systems on whose dynamics the quality of life of millions of human beings and a good part of the economy depend. Environmental, economic, social and governance problems can create formidable barriers to urban sustainability. Governance remains a critically important dimension of urban sustainability, especially when discussing urbanization in developing countries, given rapid population movements and imbalances in socio-economic development. Understanding how cities function is fundamental to resolving these imbalances. The aim of this paper is to provide a review and analysis of the concept of urban sustainability and to propose the development of a holistic framework through integration of environmental, economic, social, and governance dimensions of sustainability. Such a review would make it possible to understand the complex dynamics of the four dimensions and to assess the progress and challenges in moving towards urban sustainability, taking the case of Nairobi, Kenya, as an example. The paper argues that, for urban sustainability in developing countries, more emphasis should be placed on the governance dimension, because this is where the biggest challenge exists, with increasing needs for immediate management of rapid urbanization.
••
TL;DR: In this article, the authors argue that risk communication has fundamentally important contributions to make to sustainability science's mission to create use-inspired, "actionable science" that can lead to solutions.
Abstract: Sustainability science aims to help societies across the globe address the increased environmental and health crises and risks that range from poverty to climate change to health pandemics. With the increased magnitude and frequency of these large-scale risks to different societies, scientists and institutions have increasingly recognized the need for improved communication and collaboration among researchers, governments, businesses, and communities. This article argues that risk communication has fundamentally important contributions to make to sustainability science’s mission to create use-inspired, “actionable science” that can lead to solutions. Risk communication research can advance the mission of sustainability science to engage a wide range of stakeholders. This kind of engagement is especially important in the context of addressing sustainability problems that are characterized by high levels of uncertainty and complexity. We introduce three core tenets of risk communication research that are fundamental to advancing sustainability science. Risk communication specifically offers an increased understanding of how system feedbacks, human perceptions, and levels of uncertainty influence the study and design of solutions within social ecological systems.
••
TL;DR: In this article, the authors describe and discuss how they combined multicriteria decision analysis and system analysis as a unified approach to sustainability assessment, which is transparent, practical, flexible, and reproducible; it also facilitates the development of recommendations for enhancing sustainability.
Abstract: Transparency and reproducibility remain challenges for sustainability assessment, particularly in developing world contexts where formal scientific information is often limited. We posit that even in such contexts, sustainability assessment can be productive and informative if the underlying assumptions about sustainability are made transparent. Thus, the process of assessment can be as instructive as the results, if not more so. In this article, we describe and discuss how we combined multicriteria decision analysis and system analysis as a unified approach to sustainability assessment. This approach is transparent, practical, flexible, and reproducible; it also facilitates the development of recommendations for enhancing sustainability. We illustrate the approach with examples from a recent environmental sustainability assessment of irrigated commercial maize production in Sinaloa, Mexico.
••
TL;DR: In this paper, the authors argue that building resilience in the affected area requires a transformation to sustainable agriculture, forestry and fisheries and describe how the links between satoyama and satoumi, traditional rural territorial and coastal landscapes in Japan, can contribute to this revitalization and to strengthening the relationship between local residents and the landscape of the affected communities.
Abstract: In the wake of the catastrophic earthquake and tsunami that devastated part of northeastern Japan in March 2011, proposals for reconstruction and rehabilitation are still subjects of debate. The claim by many climate scientists that large-scale extreme events can be expected in the future, with similar catastrophic effects in coastal areas, suggests the need for long-term planning that aims at building resilience, the ability for socio-ecological systems to withstand and recover quickly from natural disasters, and continue to develop. We hypothesize that ecosystems and socio-economic resilience will provide affected communities with flexible barriers against future disasters and greater protection in the long run than will hard/engineering solutions such as high seawalls aimed at ensuring only physical security. Building social/ecological resilience in the Tohoku region will increase general security and is anticipated also to contribute to an enhanced quality of life now and for generations to come. This paper argues that building resilience in the affected area requires a transformation to sustainable agriculture, forestry and fisheries and we describe how the links between satoyama and satoumi, traditional rural territorial and coastal landscapes in Japan, can contribute to this revitalization and to strengthening the relationship between local residents and the landscape in the affected communities. Decision makers at local, regional and national levels need to take a holistic approach based on sustainability science to understand the inter-relationships between these landscapes and ecosystems to develop a robust rebuilding plan for the affected communities. Moreover, this paper suggests that building resilient communities in Japan that demonstrate the strategic benefits of satoyama and satoumi linkages can be a model for building resilient rural and urban communities throughout the world.
••
TL;DR: The present paper discusses the initial design process for constructing an ontology on SS from the aspect of a knowledge-sharing tool to support co-deliberation and proposes an incremental process.
Abstract: Implementation of the sustainability science (SS) approach is often difficult because of poor communication between experts from different academic fields. We focused on ontology engineering as a method of knowledge structuring that supports the co-deliberation process. However, SS is too broad for a few experts to construct an ontology because SS targets and covers almost all existing research fields from the viewpoint of problem-solving. The N-iteration process is required for completing an SS ontology. In the present paper, we discuss the initial design process for constructing an ontology on SS from the aspect of a knowledge-sharing tool to support co-deliberation. First, we identified the SS ontology by referring to the existing literature. Second, we traced the structuring process of the SS ontology, which is independent of the existing research domain. Third, we compared the SS ontology with existing ontologies or concept structures on SS. Fourth, we assessed the SS ontology produced in the initial process in terms of relevance and coverage and addressed areas for improvement in order to facilitate co-deliberation among researchers from different domains. As a result of developing the SS ontology and applying it to the mapping tool that we developed based on the ontology, we found the following three points: the SS ontology enables us to define concepts relevant to SS without overlapping by distinguishing part-of and attribute-of relationships at the upper level of the ontology; the SS-based mapping tool successfully represents the potential countermeasures required by the targeted problem for all scientific fields except experimental engineering; however, the SS ontology requires further improvement in order to represent the conceptual linkage arising from compound and secondary problems and the fulfillment of classes at the lower hierarchy of Shortage problem, and requires slots for the entire hierarchy. In addition, based on the discussion of the areas for improvement, we found that missing slots and classes should be added in the process in which we use or improve tools corresponding to a variety of requirements for supporting co-deliberation. In this way, we are able to propose an incremental process for constructing the SS ontology from the aspect of a knowledge-sharing tool to support co-deliberation.
••
Abstract: Land-use change is one of the major factors that alter local and regional hydrology. For areas experiencing fast expansion of urban and agriculture areas, land-use changes often adversely affect stream flow and water resources at the local and watershed scale. The Sekong, Sesan, and Srepok (3S) Sub-basins are a part of the Lower Mekong River Basin and include land in Cambodia, Lao People’s Democratic Republic (Laos), and Viet Nam. The region is experiencing a dynamic land-use transition because of rapid changes in its economy, society, and environment. Major land-use changes include deforestation of native rain forest, expansion of agricultural and urban areas, and expansion of commercial plantation such as rubber trees. These land-use alterations have affected local and regional hydrologic processes, resulting in stream flow shortages during the dry season and flash flooding due to deforestation. In this research, deforestation in the 3S Sub-basins over the period 1993–1997 was analyzed using multi-logistic regression. The regression analysis indicated that density of agricultural cells within a 5-km radius from each forest cell and slope strongly affected the deforestation process. A land-use forecast model to simulate deforestation and urbanization sites was developed in GIS based on local land-use change trends. The model was applied to 2003 land use to forecast 2033 land use and future water demand, which was further compared with present stream flow measurements during the dry season at various places in the region. The entire approach from the land-use forecast to its impact assessment on stream flow could help local stakeholders understand watershed-wide future water resources risks and develop future water resources plans. With the 3S Sub-basins being used as a case study area, this article presents a land-use forecast tool; simulated 2033 land-use and water demand; and the estimation of the impact of the forecasted future water demand on the local stream flow.
••
Pontifical Catholic University of Rio de Janeiro1, International Institute of Minnesota2, University of East Anglia3, Opole University of Technology4, Central European University5, United Nations Environment Programme6, Microsoft7, University of Sussex8, Federal Fluminense University9, European Southern Observatory10, Federal University of Rio de Janeiro11
TL;DR: In this article, the authors examined biophysical suitability and a novel integrated index of economic pressure on land (EPL) to explain land cover in the year 2000, and estimated the likelihood of future land-cover change through 2050, including protected area effectiveness.
Abstract: There has been a concerted effort by the international scientific community to understand the multiple causes and patterns of land-cover change to support sustainable land management. Here, we examined biophysical suitability, and a novel integrated index of “Economic Pressure on Land” (EPL) to explain land cover in the year 2000, and estimated the likelihood of future land-cover change through 2050, including protected area effectiveness. Biophysical suitability and EPL explained almost half of the global pattern of land cover (R
2 = 0.45), increasing to almost two-thirds in areas where a long-term equilibrium is likely to have been reached (e.g. R
2 = 0.64 in Europe). We identify a high likelihood of future land-cover change in vast areas with relatively lower current and past deforestation (e.g. the Congo Basin). Further, we simulated emissions arising from a “business as usual” and two reducing emissions from deforestation and forest degradation (REDD) scenarios by incorporating data on biomass carbon. As our model incorporates all biome types, it highlights a crucial aspect of the ongoing REDD + debate: if restricted to forests, “cross-biome leakage” would severely reduce REDD + effectiveness for climate change mitigation. If forests were protected from deforestation yet without measures to tackle the drivers of land-cover change, REDD + would only reduce 30 % of total emissions from land-cover change. Fifty-five percent of emissions reductions from forests would be compensated by increased emissions in other biomes. These results suggest that, although REDD + remains a very promising mitigation tool, implementation of complementary measures to reduce land demand is necessary to prevent this leakage.
••
TL;DR: In this paper, the authors presented a statistical model to predict electricity consumption in the residential sector at the Census Collection District (CCD) level over the state of New South Wales, Australia, based on spatial building and household characteristics.
Abstract: Electricity network investment and asset management require accurate estimation of future demand in energy consumption within specified service areas. For this purpose, simple models are typically developed to predict future trends in electricity consumption using various methods and assumptions. This paper presents a statistical model to predict electricity consumption in the residential sector at the Census Collection District (CCD) level over the state of New South Wales, Australia, based on spatial building and household characteristics. Residential household demographic and building data from the Australian Bureau of Statistics (ABS) and actual electricity consumption data from electricity companies are merged for 74 % of the 12,000 CCDs in the state. Eighty percent of the merged dataset is randomly set aside to establish the model using regression analysis, and the remaining 20 % is used to independently test the accuracy of model prediction against actual consumption. In 90 % of the cases, the predicted consumption is shown to be within 5 kWh per dwelling per day from actual values, with an overall state accuracy of −1.15 %. Given a future scenario with a shift in climate zone and a growth in population, the model is used to identify the geographical or service areas that are most likely to have increased electricity consumption. Such geographical representation can be of great benefit when assessing alternatives to the centralised generation of energy; having such a model gives a quantifiable method to selecting the ‘most’ appropriate system when a review or upgrade of the network infrastructure is required.
••
TL;DR: In this paper, the authors present a methodology for assessing sustainability as a function of dynamic changes in significant characteristics of urban systems using statistical methods, and present a strategy for comparatively assessing the impact of social and economic characteristics on system stability at geographic scales.
Abstract: The development of a comprehensive sustainability analysis tool for evaluating regional urban systems would present researchers, planners, and policy makers with a powerful tool to study and manage systems, with the goal of encouraging optimum social and economic trends, while maintaining long-term environmental protection that leads to sustainability. This article intends to aid in this effort by presenting a versatile methodology for assessing sustainability as a function of dynamic changes in significant characteristics of urban systems. Using statistical methods, this work presents a strategy for comparatively assessing the impact of social and economic characteristics on system stability at geographic scales which are critical to policy and management. Specifically, it employs the Fisher Information index as a measure of sustainability, in order to distinguish periods of stability. As an application of the approach, six Metropolitan Statistical Areas (MSAs) in Ohio (Cincinnati, Dayton, Cleveland, Akron, Columbus, and Toledo) were evaluated for a regional sustainability assessment. Results from the multiyear analysis suggest two distinct periods in these MSAs: one characterized by 30 years of socio-economic growth (1970–1999) and another (2000–2009) denoting a change in the trajectory of each system found to be related to economic recession. Columbus was identified as the most stable and sustainable of the MSAs during the study period. In contrast, Toledo exhibited the largest changes in economic trends, as distinguished by excessive increases in the growth rate of vacant housing units, unemployed civilian labor force, and inhabitants below the poverty level (2000–2009). Since such conditions are not desirable for urban systems, they are indicative of movement towards an unsustainable future.
••
TL;DR: In this paper, the authors explored alternative dairy feeding systems under semi-arid conditions, using Jordan as an example, and evaluated them against three criteria: their nutritional value, their impact on the cost of milk production, and their GHG mitigation potential.
Abstract: Dairy feeding systems in many semi-arid countries are based on imported concentrates and forages. This has economic and ecological implications given the increase in global feed prices and greenhouse gas (GHG) emissions from land use change. This paper aims to explore alternative dairy feeding systems under semi-arid conditions, using Jordan as an example. The feedings systems under investigation vary in their share of food industry by-products (replacing concentrates in the diet) and are compared against the current concentrate-based feeding systems. The systems are evaluated against three criteria: their nutritional value, their impact on the cost of milk production, and their GHG mitigation potential. Feed samples from eleven food industry by-products and ten conventional feeds were collected from food factories and from three typical dairy farms, representing the typical large-, medium- and small-scale farm types, respectively. Feed samples were analysed for their chemical composition and metabolisable energy contents. In addition, economic and production farm data were collected and entered into a model for GHGs calculation and economic evaluation. The results suggest that inclusion of locally available food industry by-products in the rations of milk cows in semi-arid production systems can be instrumental in reducing production costs and mitigating GHG emissions. Cost of milk production in the model farms can be lowered by up to 14 %; mitigation of CO2 eq. emission ranged between 70 and 290 g CO2 eq./kg milk. The degree to which these benefits can be reaped is positively related to the level of inclusion of by-product feeds in lactating cows’ diets.
••
TL;DR: In this paper, the authors present a qualitative in-depth empirical analysis of the underlying sustainability understanding of research projects, and identify crucial characteristics of the ways researchers deal with the respective normative goals.
Abstract: Sustainability-oriented undertakings employ a multitude of different definitions and understandings of the term sustainable development. Against this background, the question of which sustainability goals to refer to at project level must be posed. This article discusses this question using the example of research on land use issues. It presents a qualitative in-depth empirical analysis of the underlying sustainability understanding of research projects, and identifies crucial characteristics of the ways researchers deal with the respective normative goals. The notions of sustainable development advanced by such projects featured different foci with respect to the overall meaning of the concept and were influenced by diverse actor and stakeholder perspectives. Further, the identified sustainability conceptions were deliberated on to different extents, and also differed with respect to whether they were explicit or contextualized. Most importantly, the projects differed in how they broached the issue of sustainability goals as part of research. The findings were used to develop a set of guidelines that clarifies how research can be related successfully to the societal vision of sustainable development. The guidelines draw conceptually on general requirements for appropriate sustainability conceptions derived from the Brundtland definition. They offer a tool for reflecting on one’s assumptions with respect to sustainability goals at any stage of research, which is crucial for advancing the seminal field of sustainability science.
••
TL;DR: In this article, a new approach was developed based on time series analysis, and on the Theil-Sen estimator of slope, which proved its suitability for quantifying the progress of irrigated schemes towards sustainability development.
Abstract: Agriculture, especially
the irrigated sector, is the mainstay of Sudan’s economy as it accounts for 40 % of gross domestic product (GDP) and employs 70 % of the workforce. The economic viability of irrigated schemes is dependent on three factors: crop yield, water management and cropped area. The research question of this study was whether or not the current status of these factors can be sustained in order to maintain the economic viability of irrigation systems? To answer this question, a new (to the best of the author’s knowledge) approach was developed based on time series analysis, and on the Theil–Sen estimator of slope. The study defined sustainability conceptually as “the ability of an irrigation system to sustain crop yields using the optimum cropped area and water consumption to realize the economic viability of the irrigation system without a decline in soil quality and environment”. Time series datasets of crop yields, cropped area and irrigation water consumption are collected routinely by statistical departments. Any abrupt years in the development of trends were detected and related to their driving forces/causes, of which climatic conditions and marketing policies were found to be the most important. The simple approach developed proved its suitability for quantifying the progress of irrigated schemes’ towards sustainability development as tested under the conditions of Gezira irrigated scheme in Sudan—the largest singly managed irrigation scheme in the world. The scheme was found to be sustainable under the condition that the crop yield is considered as the top priority; otherwise, the sustainability of the scheme is jeopardized.