Alternative Adaptation Strategies Research Articles

Dosimetric advantages of adaptive IMPT vs. Enhanced workload and treatment time – A need for automation

IntroductionIn head-and-neck IMPT, trigger-based offline plan adaptation (Offlinetrigger-based) is often used. Our goal was to compare this to four alternative adaptive strategies for dosimetry, workload and treatment time, considering also foreseen further technological advancements, including anticipated automation. Materials and methodsAlternative strategies included weekly offline re-planning (Offlineweekly), daily plan selection from a library (Librarystatic and Libraryprogsressive) and a fast, approximate daily online re-optimization approach (Onlinere-opt). Impact on CTV coverage and NTCPs was assessed by simulations based on repeat-CTs from 15 patients. Full daily re-planning was used as dosimetric benchmark. Increases in workload and treatment time were estimated. ResultsBoth for coverage and NTCPs, fast Onlinere-opt performed as well as full re-planning. Compared to current practice, Onlinere-opt showed enhanced probabilities for high coverage, and resulted in reductions in grade ≥ II NTCPs of 4.6 ± 1.7 %-point for xerostomia and 4.2 ± 2.3 %-point for dysphagia. Offlineweekly and library strategies did not show coverage enhancements and resulted in smaller NTCP improvements. Further automation can largely limit workload and treatment time increases. With anticipated further automation, adaptation-related workload of Offlineweekly, Librarystatic, Libraryprogressive, and Onlinere-opt was expected to increase by 3, 8, 21, and 66 h for 35 fraction treatment courses compared to Offlinetrigger-based. The corresponding adaptation-related prolonged treatment times were estimated to be 0, 4, 6, and 29 min/fraction. ConclusionOnline adaptive strategies could approach dosimetric quality of full re-planning at the cost of additional workload and prolonged treatment time compared to the current offline adaptive strategy. Automation needs to play a key role in making more complex adaptive approaches feasible.

The interplay of local adaptation and gene flow may lead to the formation of supergenes.

Supergenes are genetic architectures resulting in the segregation of alternative combinations of alleles underlying complex phenotypes. The co-segregation of alleles at linked loci is often facilitated by polymorphic chromosomal rearrangements suppressing recombination locally. Supergenes are involved in many complex polymorphisms, including sexual, colour or behavioural polymorphisms in numerous plants, fungi, mammals, fish, and insects. Despite a long history of empirical and theoretical research, the formation of supergenes remains poorly understood. Here, using a two-island population genetic model, we explore how gene flow and the evolution of overdominant chromosomal inversions may jointly lead to the formation of supergenes. We show that the evolution of inversions in differentiated populations, both under disruptive selection, leads to an increase in frequency of poorly adapted, immigrant haplotypes. Indeed, rare allelic combinations, such as immigrant haplotypes, are more frequently reshuffled by recombination than common allelic combinations, and therefore benefit from the recombination suppression generated by inversions. When an inversion capturing a locally adapted haplotype spreads but is associated with a fitness cost hampering its fixation (e.g. a recessive mutation load), the maintenance of a non-inverted haplotype in the population is enhanced; under certain conditions, the immigrant haplotype persists alongside the inverted local haplotype, while the standard local haplotype disappears. This establishes a stable, local polymorphism with two non-recombining haplotypes encoding alternative adaptive strategies, that is, a supergene. These results bring new light to the importance of local adaptation, overdominance, and gene flow in the formation of supergenes and inversion polymorphisms in general.

Psychrophilic enzymes: strategies for cold-adaptation.

Psychrophilic organisms thriving at near-zero temperatures synthesize cold-adapted enzymes to sustain cell metabolism. These enzymes have overcome the reduced molecular kinetic energy and increased viscosity inherent to their environment and maintained high catalytic rates by development of a diverse range of structural solutions. Most commonly, they are characterized by a high flexibility coupled with an intrinsic structural instability and reduced substrate affinity. However, this paradigm for cold-adaptation is not universal as some cold-active enzymes with high stability and/or high substrate affinity and/or even an unaltered flexibility have been reported, pointing to alternative adaptation strategies. Indeed, cold-adaptation can involve any of a number of a diverse range of structural modifications, or combinations of modifications, depending on the enzyme involved, its function, structure, stability, and evolutionary history. This paper presents the challenges, properties, and adaptation strategies of these enzymes.

Evaluation of an Adaptation Strategy for Flood Damage Mitigation Under Climate Change Through the Use of Irrigation Reservoirs in Japan

AbstractThis study performed flood analysis, considering the water storage of irrigation reservoirs, to realize flood control by reservoirs, which are traditional irrigation facilities. The effect on flood control was determined through flood analysis performed by varying the reservoir storage rates. Based on the flood analysis results, Japan’s flood damage costs were estimated. Using three Shared Socioeconomic Pathways (SSPs) (SSP1-2.6, SSP2-4.5, and SSP5-8.5), we evaluated the flood control potential of reservoirs under future climate conditions. When the reservoirs were empty, the damage cost reduction rate resulting from the use of reservoirs across Japan was small, ranging from 1.1% to 2.3%, but as the damage cost reduction rate did not change under all future scenarios, reductions in flood damage were not affected by changes in rainfall under future climate conditions. Moreover, some prefectures showed high damage cost reduction effects. In northern part of Japan and numerous prefectures in western Japan, the potential to reduce damage through flood control by irrigation reservoirs was high. Some prefectures experienced similar reduction levels as those under alternative adaptation strategies. In the Kanto region, flood control by irrigation reservoirs had low potential for reducing damages. Even among prefectures with low water storage capacities of irrigation reservoirs, the potential to mitigate the effect of damage was high.

Robust management strategies promoting ecological resilience and economic efficiency of a mixed conifer-broadleaf forest in Southwest Germany under the risk of severe drought

Robust decision-making in forestry seeks solutions that reduce the risk of environmental damage and economic losses, which matters for designing forest adaptation measures. We propose a state-of-the-art methodology to identify robust drought adaptive strategies. First, we used a process-based model with an ensemble of climate change scenarios to simulate managed forest dynamics. Second, we quantified the ecological resilience and financial return as net present value (NPV), applying business-as-usual (BAU) and alternative adaptation strategies to regenerate the overstorey layer (trees ≥ 30 cm dbh) of the forest (e.g., “active”, “reactive”, and “do-nothing”). Afterward, we analyzed robustness by searching for the strategy with minimum worst-case losses of ecological and economic signposts. Our analysis found a reduced forest drought resilience under BAU and “do-nothing” strategies, determining a high probability of economic failure (∼ −49% and ∼ −67% loss in NPV respectively). While, an early “active” strategy would increase the NPV (∼ +10%), and a highly-intense “reactive” strategy would have minimal losses (∼ −2%). Finally, we found that local conditions influence the signpost performance magnitude but do not vary the robust solution. We conclude that our methodology facilitates applying a robustness analysis in forestry, and drought adaptation should occur rather sooner than later, considering constant revision.

Variation in gene expression along an elevation gradient of Rhododendron sanguineum var. haemaleum assessed in a comparative transcriptomic analysis.

Selection along environmental gradients may play a vital role in driving adaptive evolution. Nevertheless, genomic variation and genetic adaptation along environmental clines remains largely unknown in plants in alpine ecosystems. To close this knowledge gap, we assayed transcriptomic profiles of late flower bud and early leaf bud of Rhododendron sanguineum var. haemaleum from four different elevational belts between 3,000 m and 3,800 m in the Gaoligong Mountains. By comparing differences in gene expression of these samples, a gene co-expression network (WGCNA) was constructed to identify candidate genes related to elevation. We found that the overall gene expression patterns are organ-specific for the flower and leaf. Differentially expressed unigenes were identified in these organs. In flowers, these were mainly related to terpenoid metabolism (RsHMGR, RsTPS), while in leaves mainly related to anthocyanin biosynthesis (RsCHS, RsF3'5'H). Terpenoids are the main components of flower scent (fragrance) likely attracting insects for pollination. In response to fewer pollinators at higher elevation zone, it seems relatively less scent is produced in flower organs to reduce energy consumption. Secondary metabolites in leaves such as anthocyanins determine the plants' alternative adaptive strategy to extreme environments, such as selective pressures of insect herbivory from environmental changes and substrate competition in biosynthesis pathways at high elevations. Our findings indicated that the gene expression profiles generated from flower and leaf organs showed parallel expression shifts but with different functionality, suggesting the existence of flexibility in response strategies of plants exposed to heterogeneous environments across elevational gradients. The genes identified here are likely to be involved in the adaptation of the plants to these varying mountainous environments. This study thus contributes to our understanding of the molecular mechanisms of adaptation in response to environmental change.

To dam or not to dam? Actionable socio-hydrology modeling to inform robust adaptation to water scarcity and water extremes

The contribution of this paper is twofold: 1) it develops a replicable socio-hydrology-inspired model that elicits agents’ preferences while accounting for the two-way feedbacks between complex human and water systems; and 2) it integrates the resultant socio-hydrology model into robustness-based frameworks to inform the adoption of policies that show a satisfactory performance under most plausible futures. The socio-hydrology model is used to produce a database representing multiple plausible futures that quantifies uncertainty regarding scenario assumptions under alternative adaptation strategies. Using a robust decision-making framework, the mechanistic outputs from the database of plausible futures are combined with heuristic methods through experts’ knowledge and opinion to co-design scenarios, identify vulnerabilities and quantify tradeoffs of proposed strategies, and subjectively propose new scenarios and choose the preferred adaptation strategy. Methods are illustrated with an application to the Cega Catchment in central Spain, one of the few major catchments in central Spain that remains non-regulated, and where the construction of a major dam has been projected. Following a robust decision-making process informed by our socio-hydrology model and involving all key parties to the decision, the status quo strategy (no dam construction) was revealed preferred.

Climate change, human health, and resilience in the Holocene

Climate change is an indisputable threat to human health, especially for societies already confronted with rising social inequality, political and economic uncertainty, and a cascade of concurrent environmental challenges. Archaeological data about past climate and environment provide an important source of evidence about the potential challenges humans face and the long-term outcomes of alternative short-term adaptive strategies. Evidence from well-dated archaeological human skeletons and mummified remains speaks directly to patterns of human health over time through changing circumstances. Here, we describe variation in human epidemiological patterns in the context of past rapid climate change (RCC) events and other periods of past environmental change. Case studies confirm that human communities responded to environmental changes in diverse ways depending on historical, sociocultural, and biological contingencies. Certain factors, such as social inequality and disproportionate access to resources in large, complex societies may influence the probability of major sociopolitical disruptions and reorganizations—commonly known as “collapse.” This survey of Holocene human–environmental relations demonstrates how flexibility, variation, and maintenance of Indigenous knowledge can be mitigating factors in the face of environmental challenges. Although contemporary climate change is more rapid and of greater magnitude than the RCC events and other environmental changes we discuss here, these lessons from the past provide clarity about potential priorities for equitable, sustainable development and the constraints of modernity we must address.

Practicing urban resilience to electricity service disruption in Accra, Ghana

Electricity is essential for the functioning of contemporary cities. However, despite its overarching criticality, residents of Southern cities like Accra are challenged by splintered access and limited reliability of electricity services. To maintain access, and creatively maneuver blackout situations, residents in Southern cities employ many alternative socio-technical configurations and adaptive strategies. Using the lenses of urban resilience, vulnerability, and social practice theory, we explore the everyday energy practices of residents and businesses in different settlements across Accra, particularly in response to electricity service disruptions. Here, we interrogate electricity as an enabler of practices as well as the consequences of electricity disruption, and the technologies and adaptive strategies employed to maintain those practices. Our goal is to assess the potential for ensuring urban resilience in the face of electricity blackouts through adaptive energy access and user practices. Empirically, we employ primary data gathered from expert interviews with utility providers and local government officials, neighborhood visits, observations, interviews with urban residents and businesses, and document analyses. By examining the everyday energy practices of urban residents, we argue that we can better understand urban/critical infrastructure resilience and the alternative pathways to it. We further contend that the relationship between resilience and practices is predicated on—and necessitated by—systemic socio-economic and socio-spatial inequalities. We therefore advocate for a stronger engagement with electricity user perspectives and everyday energy practices in mainstream resilience and vulnerability discourses related to critical infrastructure disruption.

MIGRATION AS AN ADAPTATION STRATEGY: A BIBLIOMETRIC ANALYSIS

Considering the capability approach of Amartya Sen, in many instances, migration is an adaption strategy that is no longer freedom of choice; rather, people are forced to choose it. Specifically, people often choose migration for adaptation due to climate and environmental vulnerabilities. This Bibliometric analysis aims to provide a detailed overview of how migration is considered an adaptation strategy using the Scopus database. The search query includes 'migration,’ 'adaptation', 'vulnerability', and 'climate change' as the keywords. A total of 7,335 scientific documents, including books, book chapters, articles, and review papers for 2011-2021, were analyzed using VOSviewer software. The lexical network analysis suggests a strong connection between migration and adaptation. Moreover, the spatial network analysis suggests that the migration-related research works are primarily concentrated in the USA, the UK, and Australia. The findings of an intensive review of 38 Scopus index migration literature suggest that migration is the ultimate effect of climate change, and the researchers termed this an 'adaptation strategy'. Although numerous dimensions of migration and adaptation strategy have been explored in the literature, however, future research options are still available in the field of migration-adaptation comparing circular and permanent migration, gendered dimension from the left-behind perspective, cultural diaspora between the migrants and receiving country, policies on alternative adaptation strategies, adaptation due to freedom of choice and forced migration from the wellbeing perspective. Moreover, heightened research collaboration is strongly suggested among the top migrant-sending and receiving countries to get more insights and policy formulation.

Social Capital and Food Security amongst Women in Smallholder Farming in the Face of Climate Change in Bikita, Zimbabwe

Food insecurity is a devastating setback for vulnerable women in smallholder farming in Zimbabwe. Women’s low or limited adaptive capacity is caused by diverse factors, including , which include poverty, an unstable economy, political crisis and climate change. Adaptive strategies that differ from the conventional national and civic interventions to circumvent these factors have yielded subtle food security outcomes. As a result, there are growing calls for the adoption of social capital as an alternative grassroots-based adaptive strategy. This study examined the potential for and challenges faced by women who use social capital in adapting to food insecurity. Using in-depth interviews, focus group discussions and key informant interviews it revealed that women in smallholder farming were utilising bonding, bridging and linking capital as a means of adaptation. These three types of capital were operationalised in four projects: Food For Assets (FFA), community gardening, the Boer goat project and Fushai. It emerged that three of the projects performed better in some wards but did not do well in others. Despite its potential, the Boer goat project was riddled with challenges, which emanated from the absence of bonding capital. I therefore conclude and recommend that social capital is critical for women in food insecurity adaptation. However, it needs to be buttressed by a harmonious relationship between the three forms of social capital and all stakeholders for sustainability to be realised.

Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech

The prediction of valence from speech is an important, but challenging problem. The expression of valence in speech has speaker-dependent cues, which contribute to performances that are often significantly lower than the prediction of other emotional attributes such as arousal and dominance. A practical approach to improve valence prediction from speech is to adapt the models to the target speakers in the test set. Adapting a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">speech emotion recognition</i> (SER) system to a particular speaker is a hard problem, especially with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">deep neural networks</i> (DNNs), since it requires optimizing millions of parameters. This study proposes an unsupervised approach to address this problem by searching for speakers in the train set with similar acoustic patterns as the speaker in the test set. Speech samples from the selected speakers are used to create the adaptation set. This approach leverages transfer learning using pre-trained models, which are adapted with these speech samples. We propose three alternative adaptation strategies: unique speaker, oversampling and weighting approaches. These methods differ on the use of the adaptation set in the personalization of the valence models. The results demonstrate that a valence prediction model can be efficiently personalized with these unsupervised approaches, leading to relative improvements as high as 13.52%.

Genomic signatures for drylands adaptation at gene-rich regions in African zebu cattle

BackgroundIndigenous Sudanese cattle are mainly indicine/zebu (humped) type. They thrive in the harshest dryland environments characterised by high temperatures, long seasonal dry periods, nutritional shortages, and vector disease challenges. Here, we sequenced 60 indigenous Sudanese cattle from six indigenous breeds and analysed the data using three genomic scan approaches to unravel cattle adaptation to the African dryland region. ResultsWe identified a set of gene-rich selective sweep regions, detected mostly on chromosomes 5, 7 and 19, shared across African and Gir zebu. These include genes involved in immune response, body size and conformation, and heat stress response. We also identified selective sweep regions unique to Sudanese zebu. Of these, a 250 kb selective sweep on chromosome 16 spans seven genes, including PLCH2, PEX10, PRKCZ, and SKI, which are involved in alternative adaptive metabolic strategies of insulin signalling, glucose homeostasis, and fat metabolism. ConclusionsOur results suggest that environmental adaptation may involve recent and ancient selection at gene-rich regions, which might be under a common regulatory genetic control, in zebu cattle.

Migration among Farmers in Delta State, Nigeria: Is it a Climate Change Adaptation Strategy?

Objective: The study has the purpose of evaluating the nexus between climate change and migration of farmers in Delta State, Nigeria. The influence exerted by cognitive situations and climate – driven stress on farmers’ decisions to migrate and the socioeconomic attributes of migrating and non-migrating farm families are examined. The emphasis is the function of migration in accessing climate and agricultural extension services as well as the contribution made by migration to promote farmers’ climate change coping capacity. Methodology: Survey was articulated using farming households in three agricultural zones of Delta State, Nigeria. Perceptions of farmers about alterations in climate were examined with the use of mental map technique. Binary logistic regression model was applied to assess the function of socioeconomic attributes of farm families while descriptive statistics was employed in evaluating the adaptive capacities of the migrating farming households. Findings: Climate – driven livelihood variables form part of the main propellers of migration among farmers. Migration as well as the socioeconomic attributes is influenced by perception of farmers about climate change. There appears significant difference between migrating and non-migrating farm families with respect to utilization of information, technology and knowledge emanating from agricultural and climate extension services. The gains from remittances, knowledge and social networks from host communities or zones raise migrating farm families capacity to adapt to climate change. Theoretical Implications: This paper contributes to the progressively dynamic body of knowledge by pointing out migration as an alternative climate change adaptation strategy to promote agriculture food security in any part of the world. Originality/Value: Micro – evidence is offered by this study with respect to contribution made by migration to adaptive capacity of farmers and their ability to have access to agricultural and climate extension services. This will be useful in the analysis of climate – driven migration in other nations that are agricultural economies. Insight is also offered regarding policy needs for the scaling down of farmers’ vulnerability to climate change.

Integrating ecosystem benefits for sustainable water allocation in hydroeconomic modeling.

The increasing concern about the degradation of water-dependent ecosystems calls for considering ecosystems benefits in water management decision-making. Sustainable water management requires adequate economic and biophysical information on water systems supporting both human activities and natural ecosystems. This information is essential for assessing the impact on social welfare of water allocation options. This paper evaluates various alternative water management policies by including the spatial and sectoral interrelationships between the economic and environmental uses of water. A hydroeconomic model is developed to analyze water management policies for adaptation to reduced water availability in the Ebro Basin of Spain. The originality in our contribution is the integration of environmental benefits across the basin, by using endemic biophysical information that relates stream flows and ecosystem status in the Ebro Basin. The results show the enhancement of social welfare that can be achieved by protecting environmental flows, and the tradeoffs between economic and environmental benefits under alternative adaptation strategies. The introduction of water markets is a policy that maximizes the private benefits of economic activities, but disregards environmental benefits. The results show that the current institutional policy where stakeholders cooperate inside the water authority, provides lower private benefits but higher environmental benefits compared to those obtained under water markets, especially under severe droughts. However, the water authority is not allocating enough environmental flows to optimize social welfare. This study informs strategies for protection of environmental flows in the Ebro Basin, which is a compelling decision under the imminent climate change impacts on water availability in coming decades.

Adaptive Immunity in Reptiles: Conventional Components but Unconventional Strategies.

Recent studies have established that the innate immune system of reptiles is broad and robust, but the question remains: What role does the reptilian adaptive immune system play? Conventionally, adaptive immunity is described as involving T and B lymphocytes that display variable receptors, is highly specific, improves over the course of the response, and produces a memory response. While reptiles do have B and T lymphocytes that utilize variable receptors, their adaptive response is relatively non-specific, generates a prolonged antibody response, and does not produce a typical memory response. This alternative adaptive strategy may allow reptiles to produce a broad adaptive response that complements a strong innate system. Further studies into reptile adaptive immunity cannot only clarify outstanding questions on the reptilian immune system but can shed light on a number of important immunological concepts, including the evolution of the immune system and adaptive immune responses that take place outside of germinal centers.

How do farmers cope with climate change? An analysis of alternative adaptation strategies in drought-hit areas of Khyber Pakhtunkhwa—Pakistan

How do farmers cope with climate change? An analysis of alternative adaptation strategies in drought-hit areas of Khyber Pakhtunkhwa—Pakistan

Risk-based flood adaptation assessment for large-scale buildings in coastal cities using cloud computing

• A risk-based flood adaptation model was developed and investigated in the cloud computing system • Both global and local sensitivity analysis were conducted to show sensitivity of model parameters • Adaptation scenarios were designed to incorporate life-cycle cost and benefits of adaptation, social vulnerability, and public adaptation policies • Public adaptation with seawall and enforced building elevation policy within flood zones could substantially reduce building damages Flood risk management (FRM) in coastal cities is a challenging task due to uncertain climate hazards under sea-level rise (SLR) and large-scale vulnerable buildings within in the floodplain. This study presents a building-level adaptation framework to evaluate alternative community adaptation strategies relying on cloud computing. We incorporated multiple sources of model uncertainties and randomly generated storm surges in each year of simulation using the extreme value distribution (GEV) theory. Based on a case study in Miami-Dade County, Florida, four adaptation scenarios were designed to evaluate their effectiveness in adaptation. Our sensitivity analysis suggested a positive linear relationship between community flood risk reduction and total community adaptation costs in the life-cycle cost-benefit (LCCB) model. Our results showed that uncertainties of the total community damage based on the LCCB model ranges from $ 221 million to $ 2.75 billion. However, when considering social vulnerability, the total community damage increased substantially, ranging from $ 244 million to $ 3.44 billion. Nevertheless, a 6ft public seawall based on the upper bound of the GEV distribution with the enforced building elevation policy in flood zones could substantially reduce community flood damage under uncertain sea-level rises.

Stepping Up versus Stepping Out: On the outcomes and drivers of two alternative climate change adaptation strategies of smallholders

Which of the two climate change adaptation strategies – adjusting or improving farming (defined as Stepping Up) versus reducing or exiting farming (defined as Stepping Out) – provides better developmental outcomes for smallholder farmers? Are the drivers of these two strategies different? Do the outcomes and drivers vary according to farmland holding size? We investigated these unanswered questions, inspired primarily by a widespread but unverified suggestion that stepping out of farming can be a better option for smallholders. We utilised recent survey data from over eight hundred smallholder households located in climatic hazard-prone areas in Bangladesh. We applied a holistic Driver-Strategy-Outcome analytical framework and rigorous statistical methods, including index-based data aggregation, and Structural Equation Modelling with ‘mediation’ and ‘moderation’ analyses. Contrary to widespread speculations, we found that Stepping Out had a large negative effect on smallholders’ livelihood Outcomes; while Stepping Up had a moderate, but positive effect. The natural-environmental Drivers of Stepping Up and Stepping Out were similar; however, the psychological-institutional Drivers of each differed, with the same factor acting as a driver for one strategy whilst as a deterrent for the other. We found significant ‘mediatory’ effects of both the adaptation Strategies on Outcomes as well as significant ‘moderation’ effects of farmland holding size on the Drivers and Outcomes, with the positive effect of Stepping Up observed for smallholders owing lands of <2.5 acres only. We call for relevant policies and interventions to exercise caution in promoting smallholders’ exit from agriculture, and to adopt appropriate mitigating measures to manage such a transition. Moreover, smallholder agricultural development initiatives should not discount even the ‘smallest of smallholders’ and support them through ‘diverse and complementary innovations’ as well as ‘tailored’ institutional support services, especially for those living in proximity to hazard hotspots.

Agent-based Modeling to Evaluate Human-Environment Interactions in Community Flood Risk Mitigation.

This article deals with household-level flood risk mitigation. We present an agent-based modeling framework to simulate the mechanism of natural hazard and human interactions, to allow evaluation of community flood risk, and to predict various adaptation outcomes. The framework considers each household as an autonomous, yet socially connected, agent. A Beta-Bernoulli Bayesian learning model is first applied to measure changes of agents' risk perceptions in response to stochastic storm surges. Then the risk appraisal behaviors of agents, as a function of willingness-to-pay for flood insurance, are measured. Using Miami-Dade County, Florida as a case study, we simulated four scenarios to evaluate the outcomes of alternative adaptation strategies. Results show that community damage decreases significantly after a few years when agents become cognizant of flood risks. Compared to insurance policies with pre-Flood Insurance Rate Maps subsidies, risk-based insurance policies are more effective in promoting community resilience, but it will decrease motivations to purchase flood insurance, especially for households outside of high-risk areas. We evaluated vital model parameters using a local sensitivity analysis. Simulation results demonstrate the importance of an integrated adaptation strategy in community flood risk management.