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Assessing the Expectations Gap – Impact on Critical Infrastructure Service Providers’ and Consumers’ Preparedness, and Response

While community lifeline service providers and local emergency managers must maintain coordinated response and recovery plans, their timelines may not match expectations of local consumers of lifeline services. Indeed, it is quite likely consumers have unrealistic expectations about lifeline restoration, which could explain current inadequate levels of disaster preparedness. This hypothesized expectation gap has received little attention because engineering research typically addresses providers’ capacities, whereas disaster research addresses household and business preparedness. Our project will address this neglected issue by assessing consumers’ (households, business owners/managers, nonprofit managers) expectations about lifeline system performance, and comparing them to lifeline provider capacity in a post-hazard event scenario (following a Cascadia subduction zone earthquake of 9.0 magnitude or greater) in two communities—Kirkland and Shoreline, WA (likely to experience most shaking in this scenario).

Our research will assess the role of the expectations gap in influencing consumers’ and providers’ preparedness as well as response. First, we estimate the gap between consumers and providers expectations using an earthquake scenario in two case study communities. We posit that low consumer preparedness for lifeline disruption is in part a function of low expectations that lengthy disruption will occur. Next, we test the effect of providing consumers and providers with information about this gap. Our proposed sharing estimates of lifeline restoration times should change these beliefs if our assumption about this specific basis for low preparedness is correct and if our audiences attend to, process, and act upon this information. In our longitudinal research, consumers (households, businesses, and nonprofits) and lifeline providers will complete two questionnaires each. Besides lifeline provider surveys, we will collect information about lifeline providers’ capabilities and work with them to estimate restoration times using an expert elicitation-based estimation framework. We will address the following research questions:

  1. What do consumers think is the likely level of critical lifeline disruption from an earthquake and the timeline for restoration?
  2. What are consumers’ current levels of preparedness for lifeline interruption?
  3. What do lifeline providers and an independent engineering expert think are providers’ capabilities to maintain and restore lifeline services?
  4. How do consumers’ expectations compare with providers’ capabilities (expectations gap)?
  5. How will this study’s feedback about the expectations gap affect consumers’ and providers’ lifeline resilience expectations, as well as their mitigation and preparedness intentions?

A Global Horizon Scan for Urban Evolutionary Ecology

Verrelli, Brian C.; Alberti, Marina; Des Roches, Simone; Harris, Nyeema C.; Hendry, Andrew P.; Johnson, Marc T. J.; Savage, Amy M.; Charmantier, Anne; Gotanda, Kiyoko M.; Govaert, Lynn; Miles, Lindsay S.; Rivkin, L. Ruth; Winchell, Kristin M.; Brans, Kristien I.; Correa, Cristian; Diamond, Sarah E.; Fitzhugh, Ben; Grimm, Nancy B.; Hughes, Sara; Marzluff, John M.; Munshi-south, Jason; Rojas, Carolina; Santangelo, James S.; Schell, Christopher J.; Schweitzer, Jennifer A.; Szulkin, Marta; Urban, Mark C.; Zhou, Yuyu; Ziter, Carly. (2022). A Global Horizon Scan for Urban Evolutionary Ecology. Trends In Ecology & Evolution, 37(11), 1006-1019.

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Abstract

Research on the evolutionary ecology of urban areas reveals how human-induced evolutionary changes affect biodiversity and essential ecosystem services. In a rapidly urbanizing world imposing many selective pressures, a time-sensitive goal is to identify the emergent issues and research priorities that affect the ecology and evolution of species within cities. Here, we report the results of a horizon scan of research questions in urban evolutionary ecology submitted by 100 interdisciplinary scholars. We identified 30 top questions organized into six themes that highlight priorities for future research. These research questions will require methodological advances and interdisciplinary collaborations, with continued revision as the field of urban evolutionary ecology expands with the rapid growth of cities.

Keywords

Urban Ecology; Sustainability; Cities & Towns; Ecosystem Dynamics; Urban Growth; Ecosystem Services; Urban Research; Climate Change; Sociopolitical; Urban Evolution; Urbanization; Human Health; Biodiversity; Adaptation; Challenges; Dynamics; Management; Invasion; Science

Back to the Future: Reintegrating Biology to Understand How Past Eco-evolutionary Change Can Predict Future Outcomes

Thompson, Cynthia L.; Alberti, Marina; Barve, Sahas; Battistuzzi, Fabia U.; Drake, Jeana L.; Goncalves, Guilherme Casas; Govaert, Lynn; Partridge, Charlyn; Yang, Ya. (2022). Back to the Future: Reintegrating Biology to Understand How Past Eco-evolutionary Change Can Predict Future Outcomes. Integrative And Comparative Biology, 61(6), 2218-2232.

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Abstract

During the last few decades, biologists have made remarkable progress in understanding the fundamental processes that shape life. But despite the unprecedented level of knowledge now available, large gaps still remain in our understanding of the complex interplay of eco-evolutionary mechanisms across scales of life. Rapidly changing environments on Earth provide a pressing need to understand the potential implications of eco-evolutionary dynamics, which can be achieved by improving existing eco-evolutionary models and fostering convergence among the sub-fields of biology. We propose a new, data-driven approach that harnesses our knowledge of the functioning of biological systems to expand current conceptual frameworks and develop corresponding models that can more accurately represent and predict future eco-evolutionary outcomes. We suggest a roadmap toward achieving this goal. This long-term vision will move biology in a direction that can wield these predictive models for scientific applications that benefit humanity and increase the resilience of natural biological systems. We identify short, medium, and long-term key objectives to connect our current state of knowledge to this long-term vision, iteratively progressing across three stages: (1) utilizing knowledge of biological systems to better inform eco-evolutionary models, (2) generating models with more accurate predictions, and (3) applying predictive models to benefit the biosphere. Within each stage, we outline avenues of investigation and scientific applications related to the timescales over which evolution occurs, the parameter space of eco-evolutionary processes, and the dynamic interactions between these mechanisms. The ability to accurately model, monitor, and anticipate eco-evolutionary changes would be transformational to humanity's interaction with the global environment, providing novel tools to benefit human health, protect the natural world, and manage our planet's biosphere.

Keywords

Rapid Evolution; Ecological Interactions; Niche Construction; Climate-change; Phenotype; Community; Selection; Fitness; Consequences; Variability

Eco-Evolutionary Dynamics in an Urbanizing Planet

Alberti, Marina. (2015). Eco-Evolutionary Dynamics in an Urbanizing Planet. Trends In Ecology & Evolution, 30(2), 114 – 126.

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Abstract

A great challenge for ecology in the coming decades is to understand the role humans play in eco-evolutionary dynamics. If, as emerging evidence shows, rapid evolutionary change affects ecosystem functioning and stability, current rapid environmental change and its evolutionary effects might have significant implications for ecological and human wellbeing on a relatively short time scale. Humans are major selective agents with potential for unprecedented evolutionary consequences for Earth's ecosystems, especially as cities expand rapidly. In this review, I identify emerging hypotheses on how urbanization drives eco-evolutionary dynamics. Studying how human-driven micro-evolutionary changes interact with ecological processes offers us the chance to advance our understanding of eco-evolutionary feedbacks and will provide new insights for maintaining biodiversity and ecosystem function over the long term.

Keywords

Biological Evolution; Urbanization; Climate Change; Ecosystems; Well-being; Co-evolution; Eco-evolutionary Dynamics; Ecosystem Function; Urban Ecosystems; Ecological Consequences; Phenotypic Plasticity; Rapid Evolution; Regime Shifts; Elevated Co2; Biodiversity; Selection; Community; Patterns

A Roadmap for Urban Evolutionary Ecology

Rivkin, L. Ruth; Santangelo, James S.; Alberti, Marina; Aronson, Myla F. J.; De Keyzer, Charlotte W.; Diamond, Sarah E.; Fortin, Marie-josee; Frazee, Lauren J.; Gorton, Amanda J.; Hendry, Andrew P.; Liu, Yang; Losos, Jonathan B.; Macivor, J. Scott; Martin, Ryan A.; Mcdonnell, Mark J.; Miles, Lindsay S.; Munshi-south, Jason; Ness, Robert W.; Newman, Amy E. M.; Stothart, Mason R.; Theodorou, Panagiotis; Thompson, Ken A.; Verrelli, Brian C.; Whitehead, Andrew; Winchell, Kristin M.; Johnson, Marc T. J. (2019). A Roadmap for Urban Evolutionary Ecology. Evolutionary Applications, 12(3), 384 – 398.

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Abstract

Urban ecosystems are rapidly expanding throughout the world, but how urban growth affects the evolutionary ecology of species living in urban areas remains largely unknown. Urban ecology has advanced our understanding of how the development of cities and towns change environmental conditions and alter ecological processes and patterns. However, despite decades of research in urban ecology, the extent to which urbanization influences evolutionary and eco-evolutionary change has received little attention. The nascent field of urban evolutionary ecology seeks to understand how urbanization affects the evolution of populations, and how those evolutionary changes in turn influence the ecological dynamics of populations, communities, and ecosystems. Following a brief history of this emerging field, this Perspective article provides a research agenda and roadmap for future research aimed at advancing our understanding of the interplay between ecology and evolution of urban-dwelling organisms. We identify six key questions that, if addressed, would significantly increase our understanding of how urbanization influences evolutionary processes. These questions consider how urbanization affects nonadaptive evolution, natural selection, and convergent evolution, in addition to the role of urban environmental heterogeneity on species evolution, and the roles of phenotypic plasticity versus adaptation on species' abundance in cities. Our final question examines the impact of urbanization on evolutionary diversification. For each of these six questions, we suggest avenues for future research that will help advance the field of urban evolutionary ecology. Lastly, we highlight the importance of integrating urban evolutionary ecology into urban planning, conservation practice, pest management, and public engagement.

Keywords

Urban Ecology (biology); Climate Change; Urban Growth; Species Diversity; Urbanization; Citizen Science; Community Engagement; Eco-evolutionary Feedback; Gene Flow; Landscape Genetics; Urban Evolution; Urban Socioecology; Mouse Peromyscus-leucopus; Rapid Evolution; Population Genomics; Selection; Habitat; Differentiation; Framework; Environments; Biodiversity; Eco-evolutionary Feedback

Integrating Solutions to Adapt Cities for Climate Change

Lin, Brenda B.; Ossola, Alessandro; Alberti, Marina; Andersson, Erik; Bai, Xuemei; Dobbs, Cynnamon; Elmqvist, Thomas; Evans, Karl L.; Frantzeskaki, Niki; Fuller, Richard A.; Gaston, Kevin J.; Haase, Dagmar; Jim, Chi Yung; Konijnendijk, Cecil; Nagendra, Harini; Niemela, Jari; Mcphearson, Timon; Moomaw, William R.; Parnell, Susan; Pataki, Diane; Ripple, William J.; Tan, Puay Yok. (2021). Integrating Solutions to Adapt Cities for Climate Change. Lancet Planetary Health, 5(7), E479 – E486.

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Abstract

Record climate extremes are reducing urban liveability, compounding inequality, and threatening infrastructure. Adaptation measures that integrate technological, nature-based, and social solutions can provide multiple co-benefits to address complex socioecological issues in cities while increasing resilience to potential impacts. However, there remain many challenges to developing and implementing integrated solutions. In this Viewpoint, we consider the value of integrating across the three solution sets, the challenges and potential enablers for integrating solution sets, and present examples of challenges and adopted solutions in three cities with different urban contexts and climates (Freiburg, Germany; Durban, South Africa; and Singapore). We conclude with a discussion of research directions and provide a road map to identify the actions that enable successful implementation of integrated climate solutions. We highlight the need for more systematic research that targets enabling environments for integration; achieving integrated solutions in different contexts to avoid maladaptation; simultaneously improving liveability, sustainability, and equality; and replicating via transfer and scale-up of local solutions. Cities in systematically disadvantaged countries (sometimes referred to as the Global South) are central to future urban development and must be prioritised. Helping decision makers and communities understand the potential opportunities associated with integrated solutions for climate change will encourage urgent and deliberate strides towards adapting cities to the dynamic climate reality.

Keywords

Urban; Resilience; Energy; Water; Transformations; Sustainability; Opportunities; Challenges; Mitigation; Knowledge

Periurbanization and the Politics of Development-as-City-Building in China

Abramson, Daniel Benjamin. (2016). Periurbanization and the Politics of Development-as-City-Building in China. Cities, 53, 156 – 162.

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Abstract

China stands out among recently urbanized societies for the planned physicality of its rural-urban transformation the extensive marshaling of labor, capital and material resources to remake its cities and to transform rural land and communities into new, formal urban space. In China, the rural and the urban are distinguished in deeply dichotomous institutions of government, and peri-urbanization, defined as the disorderly spaces, processes and conditions of becoming urban, would appear to be a temporary stage of transition between an old rural socio-spatial order to a new urban socio-spatial order. The actual contested politics of development as-urbanization suggests otherwise, however, both on a national scale and on a community scale. The definition of development itself is at stake, and emerges unpredictably from peri-urban experience. A view of periurbanization as a process of socio-ecological adaptation is better suited to societies that have evolved in long settled, densely populated anthropogenic agrarian landscapes. (C) 2015 Published by Elsevier Ltd.

Keywords

Urban-growth; Chengdu; Urbanization; Adaptation; Resilience; Alternative Development; Socialist New Countryside Construction; New Rural Reconstruction

Urban Systems Design: A Conceptual Framework for Planning Smart Communities

Tobey, Michael B.; Binder, Robert B.; Chang, Soowon; Yoshida, Takahiro; Yamagata, Yoshiki; Yang, Perry P. J. (2019). Urban Systems Design: A Conceptual Framework for Planning Smart Communities. Smart Cities, 2(4), 522 – 537.

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Abstract

Urban systems design arises from disparate current planning approaches (urban design, Planning Support Systems, and community engagement), compounded by the reemergence of rational planning methods from new technology (Internet of Things (IoT), metric based analysis, and big data). The proposed methods join social considerations (Human Well-Being), environmental needs (Sustainability), climate change and disaster mitigation (Resilience), and prosperity (Economics) as the four foundational pillars. Urban systems design integrates planning methodologies to systematically tackle urban challenges, using IoT and rational methods, while human beings form the core of all analysis and objectives. Our approach utilizes an iterative three-phase development loop to contextualize, evaluate, plan and design scenarios for the specific needs of communities. An equal emphasis is placed on feedback loops through analysis and design, to achieve the end goal of building smart communities.

Keywords

Urban Design; Planning Support System; Resilience; Sustainability; Economics; Human Factors; Big Data

The Benefits and Limits of Urban Tree Planting for Environmental and Human Health

Pataki, Diane E.; Alberti, Marina; Cadenasso, Mary L.; Felson, Alexander J.; McDonnell, Mark J.; Pincetl, Stephanie; Pouyat, Richard V.; Setala, Heikki; Whitlow, Thomas H. (2021). The Benefits and Limits of Urban Tree Planting for Environmental and Human Health. Frontiers In Ecology And Evolution, 9.

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Abstract

Many of the world's major cities have implemented tree planting programs based on assumed environmental and social benefits of urban forests. Recent studies have increasingly tested these assumptions and provide empirical evidence for the contributions of tree planting programs, as well as their feasibility and limits, for solving or mitigating urban environmental and social issues. We propose that current evidence supports local cooling, stormwater absorption, and health benefits of urban trees for local residents. However, the potential for urban trees to appreciably mitigate greenhouse gas emissions and air pollution over a wide array of sites and environmental conditions is limited. Consequently, urban trees appear to be more promising for climate and pollution adaptation strategies than mitigation strategies. In large part, this is due to space constraints limiting the extent of urban tree canopies relative to the current magnitude of emissions. The most promising environmental and health impacts of urban trees are those that can be realized with well-stewarded tree planting and localized design interventions at site to municipal scales. Tree planting at these scales has documented benefits on local climate and health, which can be maximized through targeted site design followed by monitoring, adaptive management, and studies of long-term eco-evolutionary dynamics.

Keywords

Outdoor Thermal Comfort; Improved Public-health; Carbon Storage; Ecosystem Services; Air-quality; Rainfall Interception; Vegetation; Cover; Design; Impact; Urban Ecology; Forestry; Sustainability; Policy; Climate Mitigation; Climate Adaptation; Ecosystem Disservices

Perceptions And Expected Immediate Reactions To Tornado Warning Polygons

Lindell, Michael K.; Huang, Shih-kai; Wei, Hung-lung; Samuelson, Charles D. (2016). Perceptions And Expected Immediate Reactions To Tornado Warning Polygons. Natural Hazards, 80(1), 683 – 707.

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Abstract

To provide people with more specific information about tornado threats, the National Weather Service has replaced its county-wide warnings with smaller warning polygons that more specifically indicate the risk area. However, tornado warning polygons do not have a standardized definition regarding tornado strike probabilities (p (s)) so it is unclear how warning recipients interpret them. To better understand this issue, 155 participants responded to 15 hypothetical warning polygons. After viewing each polygon, they rated the likelihood of a tornado striking their location and the likelihood that they would take nine different response actions ranging from continuing normal activities to getting in a car and driving somewhere safer. The results showed participants inferred that the p (s) was highest at the polygon's centroid, lower just inside the edges of the polygon, still lower (but not zero) just outside the edges of the polygon, and lowest in locations beyond that. Moreover, higher p (s) values were associated with lower expectations of continuing normal activities and higher expectations of seeking information from social sources (but not environmental cues) and higher expectations of seeking shelter (but not evacuating in their cars). These results indicate that most people make some errors in their p (s) judgments but are likely to respond appropriately to the p (s) they infer from the warning polygons. Overall, the findings from this study and other research can help meteorologists to better understand how people interpret the uncertainty associated with warning polygons and, thus, improve tornado warning systems.

Keywords

Interrater Agreement; Protective Action; Decision-making; Evacuation; Risk; Uncertainty; Residents; Disaster; Probabilities; Preparedness; Tornado Warning Polygons; Risk Perceptions; Protective Actions