"Real Belizean Food": Building Local Identity in the Transnational Caribbean

Food and cooking can be an avenue toward understanding complex issues of cultural change and transnational cultural flow. Using examples from Belize, I discuss the transformation from late colonial times to the present in terms of hierarchies of cuisine and changes in taste. In recent Belizean history, food has been used in personal and political contexts to create a sense of the nation at the same time that increased political and economic dependency has undercut national autonomy. I suggest several possible ways to conceptualize the complex and contradictory relationship between local and global culture, [consumption, cuisine, foodways, Belize, colonialism]     

An institutional mechanism for assortment in an ecology of games

Recent research has revived Long's "ecology of games" model to analyze how social actors cooperate in the context of multiple political and social games. However, there is still a paucity of theoretical work that considers the mechanisms by which large-scale cooperation can be promoted in a dynamic institutional landscape, in which actors can join new games and leave old ones. This paper develops an agent-based model of an ecology of games where agents participate in multiple public goods games. In addition to contribution decisions, the agents can leave and join different games, and these processes are de-coupled. We show that the payoff for cooperation is greater than for defection when limits to the number of actors per game ("capacity constraints") structure the population in ways that allow cooperators to cluster, independent of any complex individual-level mechanisms such as reputation or punishment. Our model suggests that capacity constraints are one effective mechanism for producing positive assortment and increasing cooperation in an ecology of games. The results suggest an important trade-off between the inclusiveness of policy processes and cooperation: Fully inclusive policy processes reduce the chances of cooperation.     

Ecological implications of behavioural syndromes

Interspecific trait variation has long served as a conceptual foundation for our understanding of ecological patterns and dynamics. In particular, ecologists recognise the important role that animal behaviour plays in shaping ecological processes. An emerging area of interest in animal behaviour, the study of behavioural syndromes (animal personalities) considers how limited behavioural plasticity, as well as behavioural correlations affects an individual's fitness in diverse ecological contexts. In this article we explore how insights from the concept and study of behavioural syndromes provide fresh understanding of major issues in population ecology. We identify several general mechanisms for how population ecology phenomena can be influenced by a species or population's average behavioural type, by within-species variation in behavioural type, or by behavioural correlations across time or across ecological contexts. We note, in particular, the importance of behavioural type-dependent dispersal in spatial ecology. We then review recent literature and provide new syntheses for how these general mechanisms produce novel insights on five major issues in population ecology: (1) limits to species' distribution and abundance; (2) species interactions; (3) population dynamics; (4) relative responses to human-induced rapid environmental change; and (5) ecological invasions.     

Cognizing "Cognized Models"

In his later work Rappaport acknowledged that his earlier efforts had overemphasized organic and ecological functions in the explanation of cultural phenomena. He then distanced himself from both idealism and reductive materialism and set out to understand the complexities of cultural understandings and ritual. Specifically, he shifted from functionalism to formalism in an effort to understand ritual and its language in relation to cultural norms. Ultimately his analysis was implicitly structural, understanding the part as a constituent of an overarching arrangement and in terms of what Althusser would have called "structural causality." Although his work benefited from this shift from function to structure, Rappaport did not use it to explore the political dimension. However, a holistic ecology such as the one Rappaport essayed must ultimately embrace both political ecology and historical ecology, [cognized models, ritual, political ecology, structural causality-]     

Complexity in Urban Development and Management

Systems dynamics, cellular automata, agent-based modeling, and network analyses have been used in population, land use, and transport planning models. An overview of complex systems science as applied to urban development is presented, and examples are given of where the problems of housing people and anticipating their movements have been addressed with complex approaches, sometimes in concert with deterministic, large-scale urban models. Planning for cities today has additional environmental and social priorities in common with many topics that concern industrial ecology. The research agenda suggested here is that this, too, can be enriched with complex systems thinking and models to complement the often static assessment of environmental performance and better inform decision processes.     

Redesigning the Industrial Ecology of the Automobile

This article explores the potential of industrial ecology to inform the redesign of an existing industry: that which is concerned with the production, sale, and support of automobiles. In so doing, it brings together the concepts embedded in industrial ecology with issues of economic scale, product design or technology, process technology, and the way in which new combinations of these features can result in an alternative structure for the automotive industry that has the potential to enhance sustainability performance. In so doing, the article advances the general argument that the economic, technical, and spatial organization of production and consumption are co-determined in a manner that collectively shapes the industrial ecology of an industry. In contradistinction to the prevailing industry, the article then advances the concept of micro factory retailing as an alternative framework for the industry that would result in significantly different performance in terms of industrial ecology.     

Don't forget to look down – collaborative approaches to predator conservation

Finding effective ways of conserving large carnivores is widely recognised as a priority in conservation. However, there is disagreement about the most effective way to do this, with some favouring top‐down ‘command and control’ approaches and others favouring collaboration. Arguments for coercive top‐down approaches have been presented elsewhere; here we present arguments for collaboration. In many parts of the developed world, flexibility of approach is built into the legislation, so that conservation objectives are balanced with other legitimate goals. In the developing world, limited resources, poverty and weak governance mean that collaborative approaches are likely to play a particularly important part in carnivore conservation. In general, coercive policies may lead to the deterioration of political legitimacy and potentially to non‐compliance issues such as illegal killing, whereas collaborative approaches may lead to psychological ownership, enhanced trust, learning, and better social outcomes. Sustainable hunting/trapping plays a crucial part in the conservation and management of many large carnivores. There are many different models for how to conserve carnivores effectively across the world, research is now required to reduce uncertainty and examine the effectiveness of these approaches in different contexts.     

中国产业生态学发展的回顾与展望

作为一门探讨产业发展与生态环境之间相互关系的学科,产业生态学需要对我国生态化转型重大战略选择做出贡献。本文回顾与评述了产业生态学在我国的发展,指出产业生态学在我国的起源具有多源性,既有着中国传统哲学的传承,也有着多种工程学科的经验升华,还有着前苏联经验的烙印。在进入新世纪后,我国产业生态学的发展开始深受西方学术的影响,逐渐建立起较为系统的教育、研究和组织体系。这些成果体现在课程开设、学科建设、机构成立和研究发表等方面。本专栏评述了其中的代表性领域并收录了相关成果,例如生命周期评价和产业共生等。在探讨产业生态学学科发展的现实性、理论性及政治性基础上,提出了需要进一步观察、总结和提炼过去的发展实践,需要关注中国根本性和战略性的核心问题,需要建构产业生态学的中国学派,需要加速建设产业生态学的教育和学科发展体系,并接受生态文明转型这一历史使命的挑战,为中国乃至世界产业生态学发展以及产业生态化做出贡献。     

Does population ecology have general laws?

There is a widespread opinion among ecologists that ecology lacks general laws. In this paper I argue that this opinion is mistaken. Taking the case of population dynamics, I point out that there are several very general law-like propositions that provide the theoretical basis for most population dynamics models that were developed to address specific issues. Some of these foundational principles, like the law of exponential growth, are logically very similar to certain laws of physics (Newton's law of inertia, for example, is almost a direct analogue of exponential growth). I discuss two other principles (population self-limitation and resource-consumer oscillations), as well as the more elementary postulates that underlie them. None of the "laws" that I propose for population ecology are new. Collectively ecologists have been using these general principles in guiding development of their models and experiments since the days of Lotka, Volterra, and Gause.     

Historical links between settlement,ecology, and politics in the mountains of west Nepal

The paper presents a study of settlement processes in western Nepal. It emphasizes the linkages between settlement history, cultural ecology, and political economy as these relate to resources, marginality, and territory. Regional settlement trends are examined in accordance with land occupancy and tenure arrangements. Village settlement strategies are analyzed within a micro-processual framework that incorporates political economic perspectives on village land use and resource distributions. The past, present, and future roles of settlement in the human adaptation process of west Nepal's mountain populations is critically examined in the contexts of historical land policies and current rural political and environmental systems.     

Does population ecology have general laws?

There is a widespread opinion among ecologists that ecology lacks general laws. In this paper the author argues that this opinion is mistaken. Taking the case of population dynamics, the author points out that there are several very general law-like propositions that provide the theoretical basis for most population dynamics models that were developed to address specific issues. Some of these foundational principles, like the law of exponential growth, are logically very similar to certain law of physics (Newton's law of intertia, for example, is almost a direct analogue of exponential growth). The author discusses two other principles (population self-limitation and resource-consumer oscillations), as well as the more elementary postulates that underlie them. None of the "laws" that the author proposes for population ecology are new. Collectively ecologists have been using these general principles in guiding development of their models and experiments since the days of Lotka, Volterra, and Gause.     

Revisiting the Holy Grail: using plant functional traits to understand ecological processes

One of ecology's grand challenges is developing general rules to explain and predict highly complex systems. Understanding and predicting ecological processes from species' traits has been considered a ‘Holy Grail’ in ecology. Plant functional traits are increasingly being used to develop mechanistic models that can predict how ecological communities will respond to abiotic and biotic perturbations and how species will affect ecosystem function and services in a rapidly changing world; however, significant challenges remain. In this review, we highlight recent work and outstanding questions in three areas: (i) selecting relevant traits; (ii) describing intraspecific trait variation and incorporating this variation into models; and (iii) scaling trait data to community‐ and ecosystem‐level processes. Over the past decade, there have been significant advances in the characterization of plant strategies based on traits and trait relationships, and the integration of traits into multivariate indices and models of community and ecosystem function. However, the utility of trait‐based approaches in ecology will benefit from efforts that demonstrate how these traits and indices influence organismal, community, and ecosystem processes across vegetation types, which may be achieved through meta‐analysis and enhancement of trait databases. Additionally, intraspecific trait variation and species interactions need to be incorporated into predictive models using tools such as Bayesian hierarchical modelling. Finally, existing models linking traits to community and ecosystem processes need to be empirically tested for their applicability to be realized.     

Steric hindrance effects on surface reactions: applications to BIAcore

Because surface-volume reactions occur in many biological and industrial processes, understanding the rate of such reactions is important. The BIAcore surface plasmon resonance (SPR) biosensor for measuring rate constants has such a geometry. Though several models of the BIAcore have been presented, few take into account that large ligand molecules can block multiple receptor sites, thus skewing the sensogram data. In this paper some general mathematical principles are stated for handling this phenomenon, and a surface-reaction model is presented explicitly. An integro-partial differential equation results, which can be simplified greatly using perturbation techniques, yielding linear and nonlinear integrodifferential equations. Explicit and asymptotic solutions are constructed for cases motivated by experimental design. The general analysis can provide insight into surface-volume reactions occurring in various contexts. In particular, the steric hindrance effect can be quantified with a single dimensionless parameter. This work was supported in part by NIGMS Grant 1R01GM067244-01.     

TOWARD A GENDER-SENSITIVE ASSISTED REPRODUCTION POLICY

The recent case of the UK woman who lost her legal struggle to be impregnated with her own frozen embryos, raises critical issues about the meaning of reproductive autonomy and the scope of regulatory practices. I revisit this case within the context of contemporary debate about the moral and legal dimensions of assisted reproduction. I argue that the gender neutral context that frames discussion of regulatory practices is unjust unless it gives appropriate consideration to the different positions women and men occupy in relation to reproductive processes and their options for autonomous choice. First, I consider relevant legal rulings, media debate, and scholarly commentary. Then I discuss the concept of reproductive autonomy imbedded in this debate. I argue that this concept conflates informed consent and reproductive autonomy, thereby providing an excessively narrow reading of autonomy that fails to give due regard to relations among individuals or the social, political and economic environment that shapes their options. I contrast this notion of autonomy with feminist formulations that seek to preserve respect for the agency of individuals without severing them from the conditions of their embodiment, their surrounding social relationships, or the political contexts that shape their options. Taking these considerations into account I weigh the advantages of regulation over the commercial market arrangement that prevails in some countries and suggest general guidelines for a regulatory policy that would more equitably resolve conflicting claims to reproductive autonomy.     

Embedding values: how science and society jointly valence a concept—the case of ADHD

Many successful sciences both serve and shape human ends. Conversely, the societies in which these sciences are practiced support the research and provide interpretive context. These mutual influences may result in a positive feedback loop that reinforces constitutive and contextual values, embedding them in scientific concepts: the ADHD concept is a case in point. In an ongoing process, social considerations fuel investigational choices and contexts for evaluating data. Scientific study forwards the feedback loop through the influence of investigative trends, by directly and indirectly embedding values in data interpretation, and by core methodologies that heighten the contrast between ‘ADHD’ and ‘normal’. The resulting scientific conclusions embed value valences in the ADHD concept; social uptake of that valenced concept begins another round of interest in its implications and support of the science. The processes at work in the ADHD case are very general, so we should expect to see similar processes and results in other fields.     

Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks

Models of eco‐industrial parks (EIPs) might help us transform our production systems by fostering the emergence of sustainable EIPs since such models have the potential to support the decision‐making processes of cooperative companies that participate and to decrease operational uncertainties. In this article, a conceptual framework for modeling the operation of EIPs is presented. The framework is underpinned by complex adaptive systems theory, industrial ecology, and an analysis of the experiences of existing EIPs. The proposed framework draws on the observed strengths of two types of industrial symbiosis models—planned eco‐industrial parks (PEIPs) and EIPs that developed through self‐organizing symbiosis (SOS)—as well as their observed weaknesses and the features of complex adaptive systems. From this analysis, five key properties to be modeled are deduced: functionality, reliability, life span, theoretical knowledge, and adaptability. It is proposed that the properties of functionality and theoretical knowledge are determined by the goals of the EIP and its member companies, while the property of adaptability is determined by the understanding that the companies in an EIP have of the environment surrounding the EIP, while the properties of reliability and life span are determined by the internal and external relationships of the companies that make up an EIP.     

Common Property Models of Sea Tenure: A Case Study from the Roviana and Vonavona Lagoons, New Georgia, Solomon Islands

In recent decades, Pacific Region indigenous sea tenure regimes have received considerable attention from social scientists who believe thatmarine-localized common entitlements and fishing practices can aid modern littoral fisheries management. The endorsement of sea tenure institutions as managerial tools, however, has proceeded without adequate consideration of their vulnerability to social and economic changes. The general view held by researchers is that Pacific Island sea tenure regimes are generally undermined by the influence of exogenous forces resulting in an open-access commons. In this article, it is argued that the contemporary transformation of sea tenure regimes emerges not only from exogenous agency, but from a complex set of autochthonous processes. A case study from New Georgia, Solomon Islands, is presented to show how sea tenure regimes can vary within an ethnically and culturally homogeneous region. Three tenure models are presented to show how different pre- and post-European contact regional settlement patterns, localized processes of political expansion and contraction, and dynamic indigenous sociocultural principles have resulted in institutional differences between each sea tenure model. The effect of the market economy on the organizational structure and managerial outcomes of each model also is discussed.     

The Structure, Function, and Evolution of a Regional Industrial Ecosystem

A framework has been developed to assess the structure, function, and evolution of a regional industrial ecosystem that integrates insights from industrial ecology and economic geography dimensions with complex systems theory. The framework highlights the multilayered landscape of natural ecosystem functions, economic transactions, policy contexts, and social interactions in which interfirm collaboration evolves. Its application to a single case study on the island of Puerto Rico revealed changes in the system's institutional context, its resource flows, and the composition of its industrial community. It illustrated that external forces and interactions among actors at multiple levels can cause permanent changes—but not necessarily system collapse—as policy choices and interfirm cooperation can be used to organize resources in ways that retain system functionality.     

Learning from clinical medicine to improve the use of surrogates in ecology

Surrogates are used widely in ecology to detect or monitor changes in the environment that are too difficult or costly to assess directly. Yet most work on surrogates to date has been correlative, with little work on their predictive capacity or the circumstances under which they work. Our suggestion is to revisit and learn from research in the clinical medical sciences, including the causal statistical frameworks available to validate relationships between treatments, surrogate variables, and the outcome of interest. We adapt this medical thinking to ecology by providing a new framework that involves specification of the surrogate model, statistical validation, and subsequent evaluation in a range of spatial and temporal contexts. An inter‐disciplinary surrogate concept will allow for a more rigorous approach to validating and evaluating proxy variables, thus advancing the selection and application of surrogates in ecology. Synthesis We draw together ideas from the medical sciences to define an explicit surrogate concept that has not previously been used in ecology. We present a new framework for specifying surrogate models involving validation using a causal framework, and subsequent re‐evaluation in different spatial and temporal contexts – an approach closely aligned with that used by researchers in the clinical medical sciences. This rigorous method can advance the science underpinning the application of surrogates in ecology by shifting the focus away from correlative understanding to one that focuses instead on causation and prediction. An improved use of surrogates is imperative if we are to meet the challenge of properly measuring and understanding the multifarious and complex problems in contemporary ecology.     

Exploring the Synergy Between Industrial Ecology and System of Systems to Understand Complexity

Two objectives are pursued in this article. First, from a methodological perspective, we explore the relationships among the constructs of complex adaptive systems, systems of systems, and industrial ecology. Through examination of central traits of each, we find that industrial ecology and system of systems present complementary frameworks for posing systemic problems in the context of sociotechnical applications. Furthermore, we contend that complexity science (the basis for the study of complex adaptive systems) provides a natural and necessary foundation and set of tools to analyze mechanisms such as evolution, emergence, and regulation in these applications. The second objective of the article is to illustrate the use of two tools from complexity sciences to address a network transition problem in air transportation framed from the system-of-systems viewpoint and shaped by an industrial ecology perspective. A stochastic simulation consisting of network theory analysis combined with agent-based modeling to study the evolution of an air transport network is presented. Patterns in agent behavior that lead to preferred outcomes across two scenarios are observed, and the implications of these results for decision makers are described. Furthermore, we highlight the necessity for future efforts to combine the merits of both system of systems and industrial ecology in tackling the issues of complexity in such large-scale, sociotechnical problems.