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Modernism's Inhuman Worlds explores the centrality of ecological precarity, species indeterminacy, planetary change, and the specter of extinction to modernist and contemporary metamodernist literatures. Modernist ecologies, Rasheed Tazudeen argues, emerge in response to the enigma of how to imagine inhuman being-including soils, forests, oceans, and the earth itself-through languages and epistemologies that have only ever been humanist. How might (meta)modernist aesthetics help us to imagine (with) inhuman worlds, including the worlds still to be made on the other side of mass extinction? Through innovative readings of canonical and emergent modernist and metamodernist works, Tazudeen theorizes inhuman modernism as a call toward further receptivity to the worlds, beings, and relations that tend to go unthought within Western humanist epistemologies. Modernist engagements with the figures of enigma, riddle, and metaphor, according to the book's central argument, offer a means toward what Franz Kafka calls an \"otherwise\" speaking, based on language's obliqueness to inhuman and planetary being. Drawing on ecocriticism, decolonial and feminist science studies, postcolonial theory, inhuman geography, and sound studies, Tazudeen analyzes an inhuman modernist lineage-spanning from Darwin, Carroll, and Flaubert, through Joyce, Kafka, and Woolf, to contemporary poetic works-as both part of a collaborative rethinking of modernism's planetary and inhuman aesthetics, as well as occasions for imagining new modes of livingness for the extinctions to come.

The aging transformation of digital health services faces issues of how to distinguish influencing factors, redesign services, and effectively promote measures and policies. In this study, in-depth interviews were conducted, and grounded theory applied to open coding, main axis coding, and selective coding to form concepts and categories. Trajectory equifinality modeling clarified the evolution logic of digital transformation. Based on the theory of service ecology, a digital health service aging model was constructed from the “macro–medium–micro” stages and includes governance, service, and technology transformation paths. The macro stage relies on organizational elements to promote the institutionalization of management and guide the transformation of governance for value realization, including the construction of three categories: mechanism, indemnification, and decision-making. The meso stage relies on service elements to promote service design and realize service transformation that is suitable for aging design, including the construction of three categories: organization, resources, and processes. The micro stage relies on technical elements to practice experiencing humanization, including the construction of three categories: target, methods, and evaluation. These results deepen the understanding of the main behaviors and roles of macro-organizational, meso-service, and micro-technical elements in digital transformation practice and have positive significance for health administrative agencies to implement action strategies.

Detecting and understanding disturbance is a challenge in ecology that has grown more critical with global environmental change and the emergence of research on social–ecological systems. We identify three areas of research need: developing a flexible framework that incorporates feedback loops between social and ecological systems, anticipating whether a disturbance will change vulnerability to other environmental drivers, and incorporating changes in system sensitivity to disturbance in the face of global changes in environmental drivers. In the present article, we review how discoveries from the US Long Term Ecological Research (LTER) Network have influenced theoretical paradigms in disturbance ecology, and we refine a framework for describing social–ecological disturbance that addresses these three challenges. By operationalizing this framework for seven LTER sites spanning distinct biomes, we show how disturbance can maintain or alter ecosystem state, drive spatial patterns at landscape scales, influence social–ecological interactions, and cause divergent outcomes depending on other environmental changes.

Objective:The aim of this study was to investigate the social and environmental factors involved in the food decision-making processes of families living on lower incomes on the Island of Ireland.Design:A qualitative design was employed for this study, using photovoice and creative mapping methods. Parents were requested to take photos and draw maps of their food environments. Interviews were then conducted with parents, using the materials produced by parents as a cue to discuss their food environments, influences and decision-making processes around food choices.Setting:The participants were interviewed online via Microsoft Teams.Participants:The participants were parents or guardians of children between the ages of 2 and 18 who self-defined as ‘living on a tight budget’.Results:Twenty-eight participants were recruited and interviewed for this study, including twelve parents in Northern Ireland and sixteen in the Republic of Ireland. The findings were mapped on to Bronfenbrenner’s Ecological Systems Theory and showed that multiple, overlapping and intersecting factors at the individual, micro-, meso-, exo-, macro- and chrono-system were implicated in family food choices. Upstream factors in particular, including structural, policy and commercial determinants, appear to be significant drivers of behaviour.Conclusions:While the findings suggest that a complex range of factors are involved in family food choices, it is clear that policy measures and regulations are needed to stave off the impacts of rising social inequality and food poverty. Health promoters should strive to find non-stigmatising interventions to bridge the nutritional divide experienced by lower-income families.

Ecological forecasting provides a powerful set of methods for predicting short‐ and long‐term change in living systems. Forecasts are now widely produced, enabling proactive management for many applied ecological problems. However, despite numerous calls for an increased emphasis on prediction in ecology, the potential for forecasting to accelerate ecological theory development remains underrealized. Here, we provide a conceptual framework describing how ecological forecasts can energize and advance ecological theory. We emphasize the many opportunities for future progress in this area through increased forecast development, comparison and synthesis. Our framework describes how a forecasting approach can shed new light on existing ecological theories while also allowing researchers to address novel questions. Through rigorous and repeated testing of hypotheses, forecasting can help to refine theories and understand their generality across systems. Meanwhile, synthesizing across forecasts allows for the development of novel theory about the relative predictability of ecological variables across forecast horizons and scales. We envision a future where forecasting is integrated as part of the toolset used in fundamental ecology. By outlining the relevance of forecasting methods to ecological theory, we aim to decrease barriers to entry and broaden the community of researchers using forecasting for fundamental ecological insight.

We propose an adaptation of Urie Bronfenbrenner’s bioecological theory, neo-ecological theory . As bioecological theory was developed in the 20 th century, it requires significant modifications to reflect some of the most ubiquitous contexts in which adolescents learn, play, and grow—the technological and virtual ones. Although several scholars have developed laudable theories related to youth development in virtual contexts, the field lacks an overarching theory to address the intersection of development and technology. In developing neo-ecological theory, we hold true to the tenets of bioecological theory, but suggest key modifications to reflect our technologized world. We delineate a key alteration to the microsystem, namely the existence of two types of microsystems—physical and virtual. In addition, we emphasize the importance of macrosystemic influences (i.e., the influences of culture and within-society subcultural variation) in understanding development in the digital age. The implications of these modifications cascade across the Process-Person-Context-Time (PPCT) model; proximal processes, person characteristics, context, and time are all reexamined. In the digital age, virtual microsystems are central contexts in which youth engage in proximal processes. As such, we believe that all scholars of development, regardless of their specific research interests, should consider the ways digital contexts influence their outcomes of interest. Without it, practitioners, policy makers, parents, and technologists will be in the dark about how best to support adolescents.

Range dynamics causes mismatches between a species' geographical distribution and the set of suitable environments in which population growth is positive (the Hutchinsonian niche). This is because source—sink population dynamics cause species to occupy unsuitable environments, and because environmental change creates non-equilibrium situations in which species may be absent from suitable environments (due to migration limitation) or present in unsuitable environments that were previously suitable (due to time-delayed extinction). Because correlative species distribution models do not account for these processes, they are likely to produce biased niche estimates and biased forecasts of future range dynamics. Recently developed dynamic range models (DRMs) overcome this problem: they statistically estimate both range dynamics and the underlying environmental response of demographic rates from species distribution data. This process-based statistical approach qualitatively advances biogeographical analyses. Yet, the application of DRMs to a broad range of species and study systems requires substantial research efforts in statistical modelling, empirical data collection and ecological theory. Here we review current and potential contributions of these fields to a demographic understanding of niches and range dynamics. Our review serves to formulate a demographic research agenda that entails: (1) advances in incorporating process-based models of demographic responses and range dynamics into a statistical framework, (2) systematic collection of data on temporal changes in distribution and abundance and on the response of demographic rates to environmental variation, and (3) improved theoretical understanding of the scaling of demographic rates and the dynamics of spatially coupled populations. This demographic research agenda is challenging but necessary for improved comprehension and quantification of niches and range dynamics. It also forms the basis for understanding how niches and range dynamics are shaped by evolutionary dynamics and biotic interactions. Ultimately, the demographic research agenda should lead to deeper integration of biogeography with empirical and theoretical ecology.

Color preference is an important aspect of visual experience, but little is known about why people in general like some colors more than others. Previous research suggested explanations based on biological adaptations [Hurlbert AC, Ling YL (2007) Curr Biol 17:623-625] and color-emotions [Ou L-C, Luo MR, Woodcock A, Wright A (2004) Color Res Appl 29:381-389]. In this article we articulate an ecological valence theory in which color preferences arise from people's average affective responses to color-associated objects. An empirical test provides strong support for this theory: People like colors strongly associated with objects they like (e.g., blues with clear skies and clean water) and dislike colors strongly associated with objects they dislike (e.g., browns with feces and rotten food). Relative to alternative theories, the ecological valence theory both fits the data better (even with fewer free parameters) and provides a more plausible, comprehensive causal explanation of color preferences.

Scholars agree that understanding of family is incomplete without attention to context. Research and theory establish that neighborhoods are a proximal context for family life. However, research on the connections between neighborhoods and family processes remains limited in several ways. The overarching goal of this paper is to advance on existing knowledge of neighborhoods and families to elucidate key issues for future research. This paper begins with a brief review of existing theory and research on the connections between neighborhoods and families. Building on prior work, this paper then introduces a set of conceptually and methodologically driven questions that address limitations in: (1) how neighborhood qualities, as they relate to family wellbeing, are currently defined and measured, (2) how neighborhood effects are transmitted and if there are mutual influences between neighborhood and family processes, and (3) how transmission between neighborhoods and families varies according to sociocultural characteristics. These questions outline initial steps in clarifying and synthesizing previous conceptualizations and empirical study of neighborhoods and family dynamics. In addition, these ideas bring attention to understudied factors in research on neighborhoods and families and offer suggestions for future investigations.

Lianas constitute a diverse polyphyletic plant group that is advancing our understanding of ecological theory. Specifically, lianas are providing newinsights into the mechanisms that control plant distribution and diversity maintenance. For example, there is now evidence that a single, scalable mechanism may explain local, regional, and pan-tropical distribution of lianas, as well as the maintenance of liana species diversity. The ability to outcompete trees under dry, stressful conditions in seasonal forests provides lianas a growth advantage that, over time, results in relatively high abundance in seasonal forests and low abundance in aseasonal forests. Lianas may also gain a similar growth advantage following disturbance, thus explaining why liana density and diversity peak following disturbance at the local, forest scale. The study of ecology, however, is more than the effect of the environment on organisms; it also includes the effects of organisms on the environment. Considerable empirical evidence now indicates that lianas substantially alter their environment by consuming resources, suppressing tree performance, and influencing emergent properties of forests, such as ecosystem functioning, plant and animal diversity, and community composition. These recent studies using lianas are transcending classical tropical ecology research and are now providing novel insights into fundamental ecological theory.