This volume provides a fascinating glimpse into the complex language ecologies of Southeast Asia. Adopting a relational perspective, it considers their significance for the region, its peoples, the policy and practice of language teaching, learning and assessment and the fate of local languages. It gives particular prominence to the relationship between English and Chinese, it's likely transformation at a time of significant global change and the impact that these two languages and their synergy will have on the place of other languages and dialects. Dynamic Ecologies: A Relational Perspective on Languages Education in the Asia-Pacific Region draws on the research and insights of key scholars in the field and provides case studies that illustrate the impact of relevant language policy in countries including Singapore, Malaysia, Hong Kong, South Korea and Australia.

This book introduces readers to a set of powerful and extremely flexible modeling techniques, starting at "square one" and continuing with carefully chosen applications. Some of these applications of methodology include insect oviposition behavior, overwinter survival of birds and fish, avian migration, resource management, conservation biology, agroecology, and human behavior. This book also explains how to construct, test, and use dynamic state variable models in a wide range of contexts in evolutionary ecology, and its complete and up-to-date coverage allows readers to immediately begin using the described techniques. Dynamic State Variable Models in Ecology is designed for self-instruction or for use in upper division undergraduate or graduate courses. It is ideal for students and scientists interested in behavior, ecology, anthropology, conservation biology, and related fields.

This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.

Dynamic Food Webs challenges us to rethink what factors may determine ecological and evolutionary pathways of food web development. It touches upon the intriguing idea that trophic interactions drive patterns and dynamics at different levels of biological organization: dynamics in species composition, dynamics in population life-history parameters and abundances, and dynamics in individual growth, size and behavior. These dynamics are shown to be strongly interrelated governing food web structure and stability and the role of populations and communities play in ecosystem functioning. Dynamic Food Webs not only offers over 100 illustrations, but also contains 8 riveting sections devoted to an understanding of how to manage the effects of environmental change, the protection of biological diversity and the sustainable use of natural resources. Dynamic Food Webs is a volume in the Theoretical Ecology series. - Relates dynamics on different levels of biological organization: individuals, populations, and communities - Deals with empirical and theoretical approaches - Discusses the role of community food webs in ecosystem functioning - Proposes methods to assess the effects of environmental change on the structure of biological communities and ecosystem functioning - Offers an analyses of the relationship between complexity and stability in food webs

Research papers from the end of twentieth-century have been assembled, alongside expert commentary, for the first collected volume on complexity-based ecology.

Population Dynamics and Laboratory Ecology highlights the contributions laboratory studies are making to our understanding of the dynamics of ecological and evolutionary systems. Chapters address the scientific rationale for laboratory ecology, its historical role within the broader discipline, and recent advances in research. The book presents results from a wide range of laboratory systems including insects, mites, plankton, protists, and microbes. A common theme throughout the book is the value of microcosm studies in advancing our knowledge of ecological and evolutionary principles. Each chapter is authored by scientists who are leading experts in their fields. The book addresses fundamental questions that are of interest to biologists whether they work in the laboratory or field or whether they are primarily empiricists or theorists. Details a scientific rationale for laboratory systems in ecological and evolutionary studies Offers a view on historical role of laboratory studies Includes examples of recent research advances in ecology and evolution using laboratory systems, ranging from insects to microbes Integrates mathematics, statistics and experimental studies

Language plays a central role in human life. However, the term ‘language’ as defined in the language sciences of the 20th century and the traditions these have drawn on, have arguably, limited our thinking about what language is and does. The two inter-linked volumes of Thibault’s study articulate crucially important aspects of an emerging new perspective shift on language - the Distributed Language view – that is now receiving more and more attention internationally. Rejecting the classical view that the fundamental architecture of language can be localized as a number of inter-related levels of formal linguistic organization that function as the coded inputs and outputs to each other, the distributed language view argues that languaging behaviour is a bio-cultural organisation of process that is embodied, multimodal, and integrated across multiple space-time scales. Thibault argues that we need to think of human languaging as the distinctively human mode of our becoming and being selves in the extended human ecology and the kinds of experiencing that this makes possible. Paradoxically, this also means thinking about language in non-linguistic ways that break the grip of the conventional meta-languages for thinking about human languaging. Thibault’s book grounds languaging in process theory: languaging and the forms of experience it actualizes is always an event, not a thing that we ‘use’. In taking a distinctively interdisciplinary approach, the book relates dialogical theories of human sense-making to the distributed view of human cognition, to recent thinking about distributed language, to ecological psychology, and to languaging as inter-individual affective dynamics grounded in the subjective lives of selves. In taking this approach, the book considers the coordination of selves in social encounters, the emergent forms of self-reflexivity that characterise these encounters, and the implications for how we think of and live our human sociality, not as something that is mediated by over-arching codes and systems, but as emerging from the endogenous subjectivities of selves when they seek to coordinate with other selves and with the situations, artefacts, social institutions, and technologies that populate the extended human ecology. The two volumes aim to bring our understanding of human languaging closer to human embodiment, experience, and feeling while also showing how languaging enables humans to transcend local circumstances and thus to dialogue with cultural tradition. Volume 1 focuses on the shorter timescales of bodily dynamics in languaging activity. Volume II integrates the shorter timescales of body dynamics to the longer cultural-historical timescales of the linguistic and cultural norms and patterns to which bodily dynamics are integrated.

Ecologists are aware of the importance of natural dynamics in ecosystems. Historically, the focus has been on the development in succession of equilibrium communities, which has generated an understanding of the composition and functioning of ecosystems. Recently, many have focused on the processes of disturbances and the evolutionary significance of such events. This shifted emphasis has inspired studies in diverse systems. The phrase "patch dynamics" (Thompson, 1978) describes their common focus. The Ecology of Natural Disturbance and Patch Dynamics brings together the findings and ideas of those studying varied systems, presenting a synthesis of diverse individual contributions.

With the world in a state of emergency due to the Coronavirus pandemic, almost the entire scientific community and all governmental/intergovernmental agencies are focused on defining the most effective disease control and forecasting. However, is disease control the only or most crucial element to consider? In this Research Topic, we intend to highlight crucially important topics about Coronavirus related to its environmental dependencies, biological diversity and stability, and socio-economic outcomes, considering also information, modeling and technological aspects of the pandemic. The objective of the Research Topic is to bring together spatio-temporal biological, ecological, environmental and social aspects of Coronavirus to better understand its dynamics, shifts, systemic impacts on health and socio-economic effects. Studies via models that link Coronavirus to other viruses are welcome, in order to properly characterize the biology, ecology and environmental niche or universality of Coronavirus dynamics. We also seek prospective studies that investigate potential future spillovers of Coronavirus-like viruses by indicating risk hotspots in relation to socio-environmental determinants. Other issues focused on public health and medical aspects are welcome; however, these studies need to explicitly address the virus’ connection with the environment in order to gain insight into its ecology and evolution. Studies addressing data and modeling challenges as well as different model approaches (from machine learning to phenomenological and process-based models) have a lot of interest. Lastly, we highly encourage studies that quantitatively explore the coupled evolution of population perceptions and the associated infodemic (for instance, inferred from social media), behavior and systemic health outcomes.