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The contrast between ecology in cities and ecology of cities has emphasized the increasing scope of urban ecosystem research. Ecology in focuses on terrestrial and aquatic patches within cities, suburbs, and exurbs as analogs of non-urban habitats. Urban fabric outside analog patches is considered to be inhospitable matrix. Ecology of the city differs from ecology in by treating entire urban mosaics as social-ecological systems. Ecology of urban ecosystems incorporates biological, social, and built components. Originally posed as a metaphor to visualize disciplinary evolution, this paper suggests that the contrast has conceptual, empirical, and methodological contents. That is, the contrast constitutes a disciplinary or \"local\" paradigm shift. The paradigm change between ecology in and ecology of represents increased complexity, moving from focus on biotic communities to holistic social-ecological systems. A third paradigm, ecology for the city, has emerged due to concern for urban sustainability. While ecology for includes the knowledge generated by both ecology in and ecology of, it considers researchers as a part of the system, and acknowledges that they may help envision and advance the social goals of urban sustainability. Using urban heterogeneity as a key urban feature, the three paradigms are shown to contrast in five important ways: disciplinary focus, the relevant theory of spatial heterogeneity, the technology for representing spatial structure, the resulting classification of urban mosaics, and the nature of application to sustainability. Ecology for the city encourages ecologists to engage with other specialists and urban dwellers to shape a more sustainable urban future.

It is no longer possible nor desirable to address the dual challenges of equity and sustainability separately. Instead, they require new thinking and approaches which recognize their interlinkages, as well as the multiple perspectives and dimensions involved. We illustrate how equity and sustainability are intertwined, and how a complex social–ecological systems lens brings together advances from across the social and natural sciences to show how (in)equity and (un)sustainability are produced by the interactions and dynamics of coupled social–ecological systems. This should help understand which possible pathways could lead to sustainable and fair futures. There is remarkably little work on the interlinkages between sustainability and equity. This paper proposes an interdisciplinary conceptual framework addressing these twin challenges in the context of the Anthropocene. It shows that both equity and sustainability need to be understood as multi-dimensional and from diverse perspectives, with acceptable standards in all defining a desirable and acceptable life support zone. It proposes a shift in focus from individual elements and interactions, to system level dynamics and behaviour, advancing a social–ecological systems perspective through which both equity and sustainability are understood as intertwined drivers and outcomes of coupled systems dynamics. Over time, such dynamics become part of pathways which may move outside, or potentially be steered within, a desirable zone of ‘equitable sustainability’. Ten sets of ‘interaction dynamics’, involving different dimensions of equity and sustainability, are illustrated, along with a provisional categorization of their interrelationships and potential intervention points. The paper discusses their roles in transformational pathways towards equitable sustainability, highlighting the importance of cross-scale change shaped by politics and power. Further conceptual, empirical and transdisciplinary effort is now needed to enrich this framework and address a range of implied research and practice questions critical to shaping fair and sustainable futures.

Conservation practice requires an understanding of complex social‐ecological processes of a system and the different meanings and values that people attach to them. Mental models research offers a suite of methods that can be used to reveal these understandings and how they might affect conservation outcomes. Mental models are representations in people's minds of how parts of the world work. We seek to demonstrate their value to conservation and assist practitioners and researchers in navigating the choices of methods available to elicit them. We begin by explaining some of the dominant applications of mental models in conservation: revealing individual assumptions about a system, developing a stakeholder‐based model of the system, and creating a shared pathway to conservation. We then provide a framework to “walk through” the stepwise decisions in mental models research, with a focus on diagram‐based methods. Finally, we discuss some of the limitations of mental models research and application that are important to consider. This work extends the use of mental models research in improving our ability to understand social‐ecological systems, creating a powerful set of tools to inform and shape conservation initiatives.

Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social–ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 with a social–ecological system model yield overall greater emissions than simple extrapolations in official climate action planning. The most pronounced difference in emissions (39% higher) from energy use single-residence buildings resulting from urban sprawl. And this difference is not accounted for in the simple extrapolations. Scenario results indicate that a zoning policy, restricting urban development in certain areas, can mitigate 72% of the total emission effects of the model-projected urban sprawl. The study outcomes include a decision support interface for communicating results and policy implications with policymakers.

Due to recent outbreaks of native bark beetles, forest ecosystems have experienced substantial changes in landscape structure and function, which also affect nearby human populations. As a result, land managers have been tasked with sustaining ecosystem services in impacted areas by considering the best available science, public perceptions, and monitoring data to develop strategies to suppress bark beetle epidemics, and in some cases to restore affected lands and ecosystem services. The effects of bark beetle outbreaks are often detrimental to the provision of ecosystem services, including degraded landscape aesthetics and diminished air and water quality. However, there have been instances where bark beetle outbreaks have benefited communities by, for example, improving habitat for grazing animals and enhancing real-estate values. As a consequence of the interaction of a warming climate and susceptible forest stand conditions, the frequency, severity, and extent of bark beetle outbreaks are expected to increase and therefore will continue to challenge many social–ecological systems. We synthesize experiences from recent outbreaks to encourage knowledge transfer from previously impacted communities to potentially vulnerable locations that may be at risk from future bark beetle epidemics.

Agri-food social-ecological systems (AFSES) embrace complex interactions and processes of food production, processing, and commercialization that are subject to constant changes. This study develops a heuristic approach using the adaptive cycle (AC) and a transformation potential measure to identify the historical trajectory of a coffee AFSES at a watershed scale in Copalita, Mexico, over 40 years from 1980 to 2020. Primary information was collected through semistructured interviews. The results show that the system interactions depend on economic, social, and environmental stressors and shocks affecting different temporal and spatial scales. The cumulative effects of driving forces and adaptive strategies have influenced the system to not complete the AC phases. Additionally, the results show that some adaptive strategies can become new stressors with time. Driving forces, adaptive strategies, tipping points, trade-offs and interactions within the AFSES could be identified as the main aspects defining system resilience.

Successful conservation depends as much on people working together as it does on sound science and good governance. Research on cooperation in businesses, economics, psychology, and natural resource management has identified shared social and social‐ecological dynamics, reviewed and categorized in this article that can create unwanted surprises and problems for conservation efforts. Cooperation may fail when: (1) individual and group benefits are in conflict (social dilemmas) or (2) social‐ecological systems become caught in problem‐causing and problem‐enhancing feedbacks (SES traps). Knowing about and recognizing these dynamics can help decision makers to understand and change key elements of problems and learn from the experiences of others. Social dilemmas have winners and losers, and involve give‐some or take‐some choices; SES traps are lose‐lose situations. Solutions to problems of cooperation in conservation contexts involve identifying the conservation objective and context, diagnosing systemic social dilemmas and SES traps, and developing practical solutions that work with group processes and individuals toward shared and positively reinforcing goals, goal structures, and expectations. Research on cooperation in conservation has largely ignored problems of scale, scaling, and group heterogeneity. The field would benefit from a shift from a probabilistic, empirical approach to a stronger theory‐driven, mechanistic, and more diagnostic approach.

The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis.

In complex Social-Ecological Systems (SES), the interplay between ecological and social components shapes trajectories that impact human well-being and ecosystem services. While SES dynamics have been studied in static conditions, there has been less attention to how said systems respond to shocks and stressors over time and space. This special issue presents a collection of articles that use diverse methodologies—ranging from system dynamics modeling to participatory approaches—to analyze past SES changes and discuss future scenarios. Case studies from regions including Brazil, Colombia, Mexico, Honduras, Chile, Ethiopia and Mongolia illustrate key variables influencing social–ecological transitions and provide insights into potential policy strategies to support sustainable SES. The studies underscore the need for multi-scalar approaches to SES research that explicitly theorize and empirically assess trajectories across space and time.

Reintroducing locally extinct/extirpated species has been considered as an approach for restoring ecosystems. Although such projects share the same goals of rebuilding previously affected ecosystems, the overall impacts that such reintroductions generate on both ecosystems and human society, i.e., on the social-ecological system, are difficult to measure. We propose a system dynamics approach, a platform on which both natural and social scientists could collaborate to identify the social-ecological impacts of species reintroduction as well as factors that affect such decision making. We use cases in Japan to demonstrate the potential applicability of system dynamics in terms of (1) understanding the impacts of a previously reintroduced species, the Oriental Stork (Ciconia boyciana), and (2) predicting the impacts of reintroduction of wolves (Canis lupus). We present a causal loop diagram of the social and ecological effects of Oriental Stork reintroduction, and we discuss how the relationships between factors could be articulated based on empirical data and ongoing projects in Japan. The model demonstrates how local residents began to appreciate the rich biodiversity, including the Oriental Stork, following its reintroduction, and how public support toward such reintroduction enhanced further projects to reintroduce these species in different parts of Japan. A similar diagram, created to illustrate the social and ecological effects of the potential reintroduction of wolves to Japan, demonstrates how social factors such as environmental education and public attitudes could affect decision making as well as ecological factors such as predator-prey dynamics and overall biodiversity. Further, human-wolf conflicts could negatively affect the overall loop. Creating causal loop diagrams can help managers and stakeholders understand that species reintroduction projects need to be considered via an interdisciplinary approach. The models illustrate that these problems are dynamic and that the factors affecting or affected by such projects change over time, implying the importance of both the spatial and temporal scales in managing reintroduction projects.