Because of the concern to avoid loss of human lives and reduce economic damage caused by the increase and variability of disasters due to climate change, the document Transforming Our World: the 2030 Agenda for Sustainable Development (United Nations, 2015) considers actions to strengthen resilience through the construction of resistant infrastructures and make cities and human settlements inclusive, safe, resilient, and sustainable. In tune, to decrease damage and increase resilience to disturbances caused by disasters, the United Nations created the Sendai Framework for Disaster Risk Reduction 2015–2030 with four action priorities and seven global goals.
Today, hurricanes cause enormous damage to people, especially those who settle in coastal areas. Prevention measures against the effects of these phenomena are insufficient due to changes in intensity and frequency and their varying development, so there is a need for studies focused on unveiling actions to increase the resilience of the population to hurricanes.
Holt (2006) underpins that damage related to hurricanes are unpredictable and inevitable and cause different degrees of loss and damage; their spatial manifestation varies from a locality to large-scale massive catastrophes (Holt, 2006). These phenomena can cause millions of dollars in losses by destroying homes, damaging public transport infrastructure and hospitals, and limiting access to the resources necessary to survive, such as water, food, and health (Gruebner et al., 2015). Damage can be severe and seriously affect residents in impact areas (Pietrzak et al., 2012; Wang and Taylor, 2014). Despite increasing awareness of its effects, Gruebner et al. (2015) point out that it is impossible to determine and address all vulnerabilities and protect individuals, communities, and society.
After a disaster, the recovery will depend on the preparedness, mitigation, and responsiveness of stakeholders (Tokgoz & Gheorghe, 2013). To increase system resilience, planners should understand and incorporate into their assessments and planning processes, the perception and concerns of stakeholders (Becker et al., 2015), and the awareness and behavior of society (Leroy et al., 2016).
Resilience is considered a useful tool in designing strategies to reduce the damage caused by disasters. Although the literature on the topic is abundant, there are few studies focused on identifying factors that promote the system's resilience against damage caused by hurricane impacts. Furthermore, they are specialized studies that do not offer an overview of the phenomenon. There has been little research on the characteristics of hurricanes, the damage they cause, and the strategies and actions that can contribute to strengthening resilience in socio-ecological environments at risk; additionally, there is a lack of scientific evidence to understand the complexity of the phenomenon and the diversity of environmental, social, and economic impacts.
It is pertinent to carry out a review study to merge and evaluate up-to-date literature and to know the most widespread trends and ideas in the world, it may contribute to the awareness and strengthening of resilience in coastal areas affected by hurricanes. To achieve this goal, two research questions have been posed: (1) What are the most common definitions of resilience used in hurricane studies? and (2) How are the factors that contribute to strengthening resilience to hurricanes classified?
Research design and methodology
A qualitative methodological design based on content analysis of specialized journals on resilience with an emphasis on three aspects was followed: frequency of keywords in the summaries, definitions of resilience, and factors that promote it. The process was divided into two phases: (1) collection and organization of data; and (2) coding and categorization.
Collection and organization of data
The Science Direct and Scopus databases were used as search engines. The former is multidisciplinary and allowed consulting the production in scientific journals published by Elsevier Publishing House, while the latter allowed access to articles produced by different international publishers. The search was based on all open access articles published until 2019.
In Science Direct, the criterion “advanced search” was used; later, in the “find articles with these terms” section, the words “hurricane” and “resilience” were introduced. Search terms were limited to being contained in the title of the publication. Fourteen articles were found under these criteria in resilience to hurricanes field study. In the Scopus database, the articles taken into account were open access and included the terms “hurricane” and “resilience.” Thirteen documents coincided with these characteristics. In total, 27 articles were found in both databases (Table 1).
List of 27 articles on resilience to hurricanes
Title | Autor | Year | Engine |
---|---|---|---|
1. Resilience after Hurricane Katrina among pregnant and postpartum women | Harville et al. | 2010 | Science Direct |
2. Investigating the role of impoundment and forest structure on the resistance and resilience of mangrove forests to hurricanes | Vogt et al. | 2012 | Science Direct |
3. Multi-dimensional hurricane resilience assessment of electric power systems | Ouyang & Dueñas-Osorio | 2014 | Science Direct |
4. From vulnerability to resilience: An exploration of gender performance art and how it has enabled young women's empowerment in post-hurricane New Orleans | Overton, L. R-A. | 2014 | Science Direct |
5. Towards seaport resilience for climate change adaptation: Stakeholder perceptions of hurricane impacts in Gulfport (MS) and Providence (RI) | Becker et al. | 2015 | Science Direct |
6. Reflecting on resilience in Broward County, Florida: A newspaper content analysis about Hurricane Wilma recovery | Torres & Alsharif | 2016 | Science Direct |
7. Enhanced resilience and resistance assessment with virtual ecoenergy for a subtropical lake ecosystem under the intermittent impact of hurricanes and droughts | Chang & Wen | 2017 | Science Direct |
8. Resilience of soil nutrient availability and organic matter decomposition to hurricane impact in a tropical dry forest ecosystem | Gavito et al. | 2018 | Science Direct |
9. Resilience of tropical dry forest productivity to two hurricanes of different intensity in western Mexico | Martínez-Yrízar et al. | 2018 | Science Direct |
10. Habitat heterogeneity facilitates resilience of diurnal raptor communities to hurricane disturbance | Martínez-Ruiz & Renton | 2018 | Science Direct |
11. Understanding hurricane resistance and resilience in tropical dry forest trees: A functional traits approach | Paz et al. | 2018 | Science Direct |
12. Pre-hurricane optimal placement model of repair teams to improve distribution network resilience | Khomami & Sepasian | 2018 | Science Direct |
13. Resilience improvement planning of power-water distribution systems with multiple microgrids against hurricanes using clean strategies | Najafi et al. | 2019 | Science Direct |
14. Power distribution system improvement planning under hurricanes based on a new resilience index | Najafi et al. | 2018 | Science Direct |
15. Making a virtue out of a necessity: Hurricanes and the resilience of community organization | Holt, R. D. | 2006 | Scopus |
16. Short-term hurricane impacts on a neotropical community of marked birds and implications for early stage community resilience | Johnson & Winker | 2010 | Scopus |
17. Resilience in the face of disaster: Prevalence and longitudinal course of mental disorders following Hurricane Ike | Pietrzak et al. | 2012 | Scopus |
18. Resilience quantification and its application to a residential building subject to Hurricane Winds | Tokgoz & Gheorghe | 2013 | Scopus |
19. Quantifying human mobility perturbation and resilience in Hurricane Sandy | Wang & Taylor | 2014 | Scopus |
20. The geography of post-disaster mental health: Spatial patterning of psychological vulnerability and resilience factors in New York City after Hurricane Sandy | Gruebner et al. | 2015 | Scopus |
21. A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes | Leonardi et al. | 2016 | Scopus |
22. Psychological resilience after Hurricane Sandy: The influence of individual- and community-level factors on mental health after a large-scale natural disaster | Lowe et al. | 2015 | Scopus |
23. Building network-level resilience to resource disruption from flooding: Case studies from the Shetland Islands and Hurricane Sandy | Brown & Dawson | 2016 | Scopus |
24. Hurricane resilience indicators in Mexican Caribbean coastal cities | Frausto et al. | 2016 | Scopus |
25. Vulnerability and social resilience: Comparison of two neighborhoods in New Orleans after Hurricane Katrina | Leroy et al. | 2016 | Scopus |
26. Optimal hurricane overwash thickness for maximizing marsh resilience to sea level rise | Walters & Kirwan | 2016 | Scopus |
27. Spatial and temporal variations in resilience to tropical cyclones along the United States coastline as determined by the multi-hazard hurricane impact level model | Pilkington & Mahmoud | 2017 | Scopus |
Source: Science Direct and Scopus databases
Coding and categorization
Table 2 was designed to record information on each item. The data were stored in a hermeneutic unit of Atlas.ti program, where an identification number for each item was assigned, as well as a code for 15 sections. On this basis, to have an overview of the articles, four sections were created:
- (1)Information about publications to identify the title, year, journal name, keywords, and the number of citations.
- (2)Research context to obtain information from the object of study, hurricane type, knowledge area (or discipline), region, and country.
- (3)Referential framework to know resilience definitions, and to identify and classify factors that promote it by field of knowledge.
- (4)Final considerations and conclusions.
Literature review on resilience to hurricanes, 2006–2019
Sections | Subsections |
---|---|
Publication information | Author Year of publication Article title Magazine name Keywords Quotations number |
Research context | Study object Type of disaster (hurricane) Knowledge area Study zone Country |
Referential framework | Definition Factors that promote resilience |
Results and conclusions | Final considerations Conclusions |
Source: Authors
The word cloud technique allowed to know the most frequently used words in definitions of resilience and the summaries of all articles. Descriptive statistics were used to show the results of the review in frequencies and percentages.
The content analysis led to a classification of the data collected; they were organized by classes, which were named “factors that promote resilience”; each factor was subdivided into sets named “categories” and “subcategories.” This classification was submitted to the judgment and validation of this group of researchers.
Literature review
Global warming and climate change have caused natural disasters that occurred with great intensity in recent decades (Khomami & Sepasian, 2018). These phenomena can never be stopped, but it is possible to work on reducing their impact. This is why disaster planners must learn what characterizes resilient people, to encourage them to be prepared with a resistance system to ensure the rapid recovery in disaster areas (Harville et al., 2010; Ouyang & Dueñas-Osorio, 2014).
Actions to respond to shocks should carefully consider and evaluate how short-term benefits can affect long-term goals (Torres & Alsharif, 2016). Resilience seeks to obtain a better and safer state; the faster a system returns to a balanced state after an event, the more resistant it becomes (Leroy et al., 2016). After the occurrence of a natural disaster, the most important task of the system is the recovery in the shortest possible time (Khomami & Sepasian, 2018).
Traditional approaches to resilience are focused on risk management and threat control; they show a materialistic vision based on the logic of increasing the resistance of physical protection structures to avoid danger. However, these models have shown limitations and insufficiency in the face of intensifying disruptive events (Quenault, 2013; Reghezza-Zitt, 2013). Technical protection measures are not fully reliable, as demonstrated in recent disasters, like the one caused by Hurricane Katrina in 2005 (Leroy et al., 2016).
Specific topics focused on infrastructure, ecology, mental health, and sociology prevail in the literature on resilience to hurricane disasters. According to Khomami and Sepasian (2018), increasing resilience has become a priority due to the extreme dependence on other critical services, and Tokgoz and Gheorghe (2013) point out that after a disaster, infrastructure and buildings should return to normal operations as quickly as possible to minimize negative effects and incorporate resilience strategies before (preparation and mitigation) and after the event (response and recovery).
From sociology, patterns of social mobility in coastal areas could be examined with a hurricane approach to obtain a more effective evaluation and develop strategies and policies to reduce mortality, injuries, and economic loss (Wang & Taylor, 2014). To ensure community resilience, it is important to maintain the flow of food, materials, fuel, water, and other vital resources before, during, and after a flood (Brown & Dawson, 2016). Social resilience is about raising awareness of risk and improving the possibility to face the event rationally (Leroy et al., 2016). The literature on disaster mental health provides studies on mental disorders in individuals after a disaster, such as post-traumatic social disorders, general anxiety disorder, panic disorder depression, and suicidal tendencies (Pietrzak et al., 2012).
The issue of hurricane resilience has not been extensively examined (Harville et al., 2010). To provide useful elements for decision-making, an analysis of current and specialized literature was conducted, seeking to recognize factors that promote resilience to hurricanes of impacted areas before, during, and after the phenomenon. Until the completion of this study, there was no record of another proposal aimed to analyze these worrisome issues.
Conceptual approach
The concept of resilience has gained attention in disaster management, especially after the man-made disaster of the September 11, 2001 attacks and the 2005 natural disaster of Hurricane Katrina (Leroy et al., 2016; Tokgoz & Gheorghe, 2013). The concept of resilience has progressively gained momentum, the success of a system relies more and more on its capacity to react to sudden shocks in a positive and evolutionary perspective (Rota et al., 2020).
Today, resilience is the conceptual framework for disaster risk management; it is defined as the joint capacity of a system to resist (prevent and bear) multiple possible risks, absorb initial damage, and recover to normal operation (Ouyang & Dueñas-Osorio, 2014); it takes into account how the system reacts by itself through self-organization and how it will react in the future, depending on how it adapts and finds a more sustainable balanced state (Leroy et al., 2016). Although definitions of resilience vary, some scholars distinguish between two scales: specified resilience, addressing resistance to known shocks, and general resilience, addressing the ability of a system to cope with less predictable shocks (Torres & Alsharif, 2016).
Resilience links abilities of resistance, recovery, and transformation, with economic, social, infrastructure, and ecological aspects. The studies of Brigite Maguire and Patrick Hagan (2007) focused on the maximum pressure that the system can withstand without changing its function and structure; this includes three abilities: resistance, recovery, and creativity. Resistance relates to the efforts of a system to withstand a disaster and its consequences; recovery describes the function by which a system can return, after a certain period, to the previous state, the faster it takes place, the more resilient it becomes; and creativity is considered the ability of a system to adapt to the new situation, so the system is not only restored to its original level but reaches a higher one. This means that resilience is not related to the ability to return to a system's initial state but to get back to a balanced state, a better one whenever possible, even if it differs from the original one (Leroy et al., 2016). Taquechel and Lewis (2017) point out that resilience must go beyond the ability to return to a normal predisturbance state, adding that the system must benefit from disorder instead of suffering. It must evolve and exceed levels of performance prior to the alteration until finding a new balance, that is, reducing the fragility and increasing the antifragility of the system. The goal of antifragility is to benefit, thrive, and become even stronger after disturbance. In this sense, Alexander (2006) argues that systems would be more effective if they would place much greater emphasis on foreseeing and preparing for impacts rather than simply reacting to them.
An antifragile agent always maintains or improves its condition in the face of highly unlikely and unpredictable undesirable events, making sure to have all options covered if what will happen is not known (Fuller, 2013). While resilient systems are simply tough and remain unchanged, antifragile structures not only withstand stress but also benefit from it (Rota et al., 2020). Antifragility is a property that improves the responsiveness of the system when exposed to external disturbances, benefits from stress, strengthens, and prepares to overcome future adversities (Pineda et al., 2019).
To contribute with proposals to bring this concept from theory to practice, Susan L. Cutter et al. (2008) establish five components of resilience: (1) the social component links demographic attributes to social capacity; (2) the economic part, refers to a diversification of local economic base as a factor that strengthens resilience; (3) the institutional element, contains characteristics related to mitigation, planning and previous experience before the disaster; (4) infrastructure, refers to community response and resilience (shelter, availability of rental housing, health facilities, and housing infrastructure that may be vulnerable to damage and possible economic losses); and (5) the community component, highlights the relationships between individuals, neighborhoods, and communities. Identifying factors that promote resilience is crucial in disaster rapid recovery of hurricane-affected areas. This is why the system must not only be restored to its normal state and function but also be transformed to emerge stronger and better prepared to face future disasters.
Results
Publications information
Studies of resilience to hurricanes disasters are relatively recent. Of the 27 articles reviewed, 24 corresponded to the period of 2012–2019; out of them, 15 were issued between 2016 and 2019. The foregoing reflects the growing interest in researching on the exposed subject. The most cited article is about an analysis of the resilience of electric power systems to hurricanes (Ouyang & Dueñas-Osorio, 2014); the second with most citations is a study of mental health linked to traumatic events (Pietrzak et al., 2012); and in third place, the work of Sarah R. Lowe et al. (2015) discusses the influence of factors at the individual and collective levels to shape post-disaster psychological resilience. Table 3 shows the most cited articles.
The most cited articles on resilience to hurricanes, 2006–2019
Year | Title | Authors | Magazine | Quotes | Database data |
---|---|---|---|---|---|
2014 | Multidimensional resilience evaluation of electric energy systems to hurricanes | Min Ouyang and Leonardo Dueñas-Osorio | Structural Safety | 144 | Elsevier |
2012 | Disaster resilience: Prevalence and longitudinal course of mental disorders after Hurricane Ikes | Robert H. Pietrzak, Melissa Tracy, Sandro Galea, Dean G. Kilpatrick, Kenneth J. Ruggiero, Jessica L. Hamblen, Steven M. Southwick, Fran H. Norris | PloS one | 92 | journals.plos.org |
2015 | Psychological resilience after Hurricane Sandy: The influence of individual and community factors on mental health after a large-scale natural disaster | Sarah R. Lowe, Laura Sampson, Oliver Gruebner, Sandro Galea | PloS one | 78 | journals.plos.org |
2016 | A linear relationship between wave power and erosion determines the resilience of marshes to violent storms and hurricanes | Nicoletta Leonardi, Neil K. Ganjub, and Sergio Fagherazzia | Proceedings of the National Acad Sciences (PNAS) | 76 | Pnas.org |
2014 | Quantification of the disturbance and resilience of human mobility in Hurricane Sandy | Qi Wang, John E. Taylor | PLoS one | 57 | journals.plos.org |
Source: Authors, based on the authors contained in the table
Research context
To know the conditions and realities in which the analyzed studies were carried out, five aspects were considered: object of study, hurricane name, knowledge area, study area, and country. From the total number of articles reviewed, nine (33%) were aimed at the resilience of an ecosystem (mangroves, lakes, soil nutrients, forests, marshes, raptors habitat, birds, and spiders communities); six (22%) were aimed at infrastructure (electrical power system, restoration of the electrical distribution system, micro-networks of energy and water, distribution networks of the energy system, residential buildings, and infrastructure and supply chains); seven (26%) were aimed at community resilience (seaport, human mobility, distribution of population´s mental health, lesbian community, gay, bisexual, transgender, and queer community); three (11%) were aimed at individual resilience (mental health, psychiatric and psychological disorders); one (4%) was aimed at urban resilience; and one (4%) was aimed at economic resilience.
Regarding the hurricanes studied, Table 4 shows that, of all the articles reviewed, four examined Hurricane Sandy, which impacted the eastern part of the United States in 2012. Four others studied the effects of Hurricanes Jova and Patricia of 2012, in the Chamela-Cuixmala Biosphere Reserve and in the communities of La Huerta and Tomatlán, in Jalisco State, Mexico. Three studies dealt with Hurricane Katrina that hit New Orleans, Louisiana, on the US East Coast in 2005. Two more studies correspond to Hurricane Ike of 2008, in Galveston and Chambers counties, in Texas. One article studied hurricanes France and Jeanne of 2004 in Indian River Lagoon, Florida. Another article examined hurricane Iris of 2001 in Southern Toledo District, Belize. Of the remaining ten articles that do not mention the hurricane studied, five were carried out in the United States, one in Mexico, and four did not specify name of hurricane, year, study area, state, or country.
The most studied hurricanes
Hurricane | Year | Study area | State/Region | Country | Frequency | % |
---|---|---|---|---|---|---|
Katrina | 2005 | New Orleans and Baton Rouge New Orleans (2) |
Louisiana Louisiana |
USA | 03 | 11.1 |
Sandy | 2012 | New York City (3) Shetland Islands and New York City |
NY UK-New York |
USA UK-USA |
04 | 14.8 |
Jova and Patricia | 2011 | Chamela Biosphere Reserve-Cuixmala (3) La Huerta and Tomatlán |
Jalisco Jalisco |
MEX MEX |
04 | 14.8 |
Ike | 2008 | Harris County Galveston and Chambers Counties |
Texas Texas |
USA USA | 02 | 7.4 |
Wilma | 2005 | Broward County | Florida | USA | 01 | 3.7 |
Francesy Jeanne | 2004 | Indian River Lagoon | Florida | USA | 01 | 3.7 |
Floyd | 1998 | Bahamas Islands | Baham Islands | BI | 01 | 3.7 |
Iris | 2001 | South Toledo District | Belize | Belize | 01 | 3.7 |
N/S* | N/S | Gulfport / Providence Lake Okeechobee South Florida Hog island East Coast and Gulf Playa del Carmen, Tulum and Chetumal |
Mississippi/ Rhode Island Florida Florida Virginia East Coast/Gulf Quintana Roo N/S |
USA USA USA USA USA MEX N/S |
10 | 37 |
Four: N/S |
Not Specified
The 27 articles found were distributed in different areas of knowledge and theoretical approaches: ecology (7), engineering (7), forestry (3), mental health (3), sociology (3), socio-ecological systems (2), psychology (1), and socioenvironmental systems (1) (Figure 1). By field of study, 34% of the articles were made on a regional scale; 19% in cities; 7% in counties, 7% in districts, 7% on islands, 7% in places occupied by small communities and some social groups, 4% at country level, 4% at lagoons, 4% in localities, and 7% not specified. By country, 55% of the articles correspond to research carried out in the United States, 18% in Mexico, 4% in the Bahamas, 4% in Belize, 4% in the United Kingdom and United States, and 15% did not specify.
Research flow on factors that promote resilience to hurricanes
Citation: Regions and Cohesion 11, 2; 10.3167/reco.2021.110203
Source: AuthorsWhat is resilience?
As a multidisciplinary concept, there is no consensus on resilience. Study fields and theoretical approaches have different emphases; their use has traditionally been addressed to the evaluation of natural hazards (Frausto et al., 2016). And programs in hazard mitigation tend to focus more on increasing the system's physical resistance to cope with disasters than on social resilience.
Different fields of knowledge have adopted a wide variety of terms; in this literature review alone, 126 different words were found in nine definitions. Coincidences were also found: all the definitions referred to the capacity or ability of the system; subsequently, terms such as absorb, resist, or recover were used (Table 5).
Definition of resilience of the most cited articles
Article | Author | Cited definition | Cited author |
---|---|---|---|
Multidimensional assessment of the resilience of electric power systems to hurricanes | Ouyang and Dueñas-Osorio, 2014. 144 quotes |
Resilience is the capacity for joint recovery of distributed systems such as electric power systems, to resist (prevent and support) multiple potential risks, absorb the initial damage and recover their normal operation. | Ouyang y Dueñas-Osorio, 2012 |
Towards port resilience for climate change adaptation: Stakeholder perceptions of hurricane impacts in Gulfport (MS) and Providencia (RI) | Becker et al., 2015. 45 quotes |
Resilience is the ability of a system to absorb disturbances and still retain its basic function and structure. | Walker, Salt and Reid, 2006. Quoted by Becker, et al., 2015 |
Reflecting on the resilience County Broward, Florida: content analysis of a newspaper about the recovery of Hurricane Wilma | Torres and Alsharif, 2016. 10 quotes |
Resilience is the ability of structure, while maintaining social, economic, and environmental systems to cope with a dangerous event, trend, or disruption, responding or reorganizing in ways that maintain their essential function, identity, and adaptive, learning capacity and transformation. | IPCC, 2014. Quoted by Torres and Alsharif, 2016 |
Resilience nutrient availability and soil decomposition of organic matter l impact of hurricanes in a forest ecosystem tropical dry | Gavito et al., 2018. 03 quotes |
Resiliency is the ability of a system to maintain its function when it is exposed to disturbances, has two measurable components, the resistance (ability to withstand shocks without changing) and the recovery (ability to return to conditions predisturbio when the system does not resisted). Both components together represent resilience. | Hodgson et al. 2015, cited by Gavito et al., 2018 |
Source: Authors, based on the authors contained in the table
The most cited article defined resilience as the ability to prevent and resist multiple possible hazards, absorb initial damage, and recover to normal function (Ouyang & Dueñas-Osorio, 2014). Brian Walker et al. (2006, cited by Becker et al., 2015), authors of the second most cited article, refer to resilience as the ability of a system to absorb disturbances and preserve its basic function and structure. The third most cited article, the “International Panel on Climate Change” (2014, cited by Torres & Alsharif, 2016) explains it as the capacity of social, economic, and environmental systems to face a dangerous event, trend, or disturbance, by responding or reorganizing in a way that they can maintain their essential function, identity, and structure while retaining the ability to adapt, learn, and transform. Therefore, they show similarity in the approach to resilience as a system to resist, absorb, and recover its essential functions and structure. It should be noted that Mayra E. Gavito et al. (2018) highlight resistance and recovery capabilities as properties of resilience: resistance as the ability to remain unchanged, and recovery as the ability to return to normal conditions.
Figure 2 shows the most used terms in resilience definitions. The frequency allows them to be ordered as follows: first, those related to resilience; later those referred to the capacity or ability of the system, in a first phase of resisting, supporting, and maintaining; and in the end, those that correspond to the recovery phase, when the system did not resist and returned to the normal or original conditions and functions that the system had before the disturbance.
Word cloud found in resilience definitions of reviewed articles
Citation: Regions and Cohesion 11, 2; 10.3167/reco.2021.110203
In the summaries of a second analysis on word frequency, terms like hurricanes, resilience, and disasters were positioned as the central themes. Based on the this, hurricane resilience could be defined as the system's capacity for resistance, recovery, and transformation to emerge stronger against future disasters.
Factors that promote resilience to hurricanes
From the diversity of proposals and theoretical approaches that have studied resilience to hurricanes, it was possible to classify them into four groups: ecological, social, infrastructure, and mental health. Consequently, 19 categories and 61 subcategories were obtained.
Ecological
Vegetation, wildlife, water availability, and soil have been identified as the categories in which factors favoring resilience can be grouped (Table 6). In this fashion, an important relationship was found between water availability and soil nutrients for forest regeneration, which provides alternative habitats for wildlife recovery and, in general, for the entire ecosystem´s resilience.
Ecological factors that promote resilience in hurricane-affected areas
Category | Subcategory | Author |
---|---|---|
Vegetation | Diversity/heterogeinety | Gavito et al. (2018) |
Native vegetation | Vogt et al (2012) | |
Tree structure | Paz et al. (2018) | |
Wildlife | Mobility | Martínez-Ruíz and Renton (2018) |
Alternative habitats | ||
Migration | Johnson and Winker (2010) | |
Adaptability | ||
Water | Water availability | Martínez-Yrizaret al. (2018) |
Artificial floods | Vogt et al. (2012) | |
Soil | Nutrient availability | Gavito et al. (2018) |
Sediment deposition | Walters and Kirwan (2016) |
Source: Authors, based on the authors contained in the table
Vegetation
Characteristics that promote vegetation resilience are related to tree diversity and heterogeneity (Gavito et al., 2018). Also, native mangroves vegetation and smaller trees have shown greater resistance and speed recovery to hurricanes (Vogt et al., 2012). On the other hand, contrary to the notion that dense trees in dry tropical forests should better resist to hurricanes, such weather events may favor trees with reduced canopies, ductile wood, flexible leaves, and wide-stemmed logs, and rapid growth, because they are less susceptible to damage and tend to sprout vigorously (Paz et al., 2018).
Wildlife
Wildlife bird's resilience is strengthened by alternative habitats, high mobility, immigration, and adaptability. Maintaining landscape heterogeneity and native vegetation (mangroves) provides habitats that serve as a refuge for wildlife and facilitate their resilience. Birds of prey can be resilient to hurricanes due to their high mobility between different habitats (Martínez-Ruiz & Renton, 2018). Bird immigration and its adaptability to the relative frequency of hurricanes are resilience factors for repopulating impacted environments (Johnson & Winker, 2010).
Water availability
Angelina Martínez-Yrízar et al. (2018) state that an ecosystem´s resilience of dry tropical forests to extreme hydrometeorological events seems to be strongly linked to water availability after the hurricane. Water is the key to ecosystem processes, especially in dry tropical forest biomes, where spatial and temporal variance in liquid availability is high. On the other hand, water availability through artificial floods also influences forest regeneration of small plants after the destruction caused by hurricanes (Vogt et al., 2012).
Soil
Two soil factors that promote ecological resilience were found. Gavito et al. (2018) revealed that nutrient availability, leaf litter quality, and decomposition were resilient to hurricane due to the diversity and heterogeneity of tree cover in the region. According to Walters and Kirwan (2016), resilience to sea-level rise in coastal ecosystems, such as swamps and barrier islands, is benefited by sediment deposition (1.96 to 5.9 in) during low-intensity storms by increasing the elevation of the ground and vegetation productivity. On the other hand, they also highlight that a greater increase in sediment accumulation can reduce growth and increase mortality of swamp vegetation, which paradoxically can lead to a decrease in resilience.
Infrastructure
The articles reviewed highlight the recovery capacity importance of electricity, water, and supply distribution networks to reduce the interruption of vital resources for the population damaged by hurricanes. The restoration of electrical energy is a priority factor, and for that reason, it is identified as the main element on which the operation of other systems depends. The speed at which it recovers will directly affect the repair of hospitals, water treatment plants, and other public services. The ability to build distribution networks to maintain the flow of food, water, fuel, and other elements necessary to meet the immediate population's basic needs is another key element to consider to strengthen resilience. Some aspects that favor resilience of infrastructures are synthesized in factors aimed at strengthening the system´s capacity of resistance to the event, and the recovery ability to restore the system once it is broken (Table 7).
Infrastructure factors that promote resilience in hurricane-affected areas
Category | Subcategory | Author |
---|---|---|
Resistance | Recognition of the occurrence of hurricanes | Pilkington and Mahmoud (2017) |
Building codes | ||
Better-prepared residents | ||
Quality of infrastructure | ||
Knowledge and experience | ||
Delimitation of exposed areas | Tokgoz and Gheorge (2013) | |
Stock reserve and bulk deliveries | Brown and Dawson (2016) | |
Incorporation of micro networks | Najafi et al. (2019) | |
Hardening of lines in the energy network | ||
Energy storage | ||
Water storage | ||
Decreased dependency between systems | Najafi et al. (2018 ) | |
Automation | ||
Optimal placement of repair teams | Khomami and Sepasian (2018) | |
Predictive planning | ||
Recovery | Maintain the flow of vital supplies | Brown and Dawson (2016) |
Increase and mobilization of resources | Ouyang and Dueñas Osorio (2014) | |
Repair of substations and transmission lines | ||
Repair of local distribution circuits | ||
Placement of generators | Najafi et al. (2018) | |
Redundancy | Minimize the use of just-in-time supply chains | Brown and Dawson (2016) |
Avoid spatial grouping of industries | ||
Diversify suppliers and supply routes | ||
Protection of industries with greater connectivity | ||
Stock reserves (vital supplies) |
Source: Authors, based on the authors mentioned in the table
Resistance capacity
Resistance is the predictive and preventive planning phase in resilience processes and aims to withstand hurricanes’ impact, focusing on the physical resistance of infrastructures with technological or engineering solutions. The resistance capacity is increased by the development of predictive strategies. Predictive planning and optimal equipment placement are effective actions to reduce time and cost in infrastructure repair, including electricity distribution networks (Khomami & Sepasian, 2018). In the same way, Stephanie Pilkington and Hussam Mahmoud (2017) indicate actions that contribute to maintaining the resistance of coastal communities to the spatial and temporal variations of the impacts of hurricanes: (a) a better quality of physical infrastructure, (b) the increase in knowledge and experience, (c) recognition of the occurrence of hurricanes, (d) respect for stricter building codes, and (e) better preparation of residents. They argue that natural defenses are more suitable for community protection than artificial solutions and that the increase of population in correspondence with an increase in infrastructure and wealth diminishes these natural protections and endangers more population.
Planning is key to anticipate and mitigate possible damage from hurricane impact. To improve the resilience of energy and water distribution networks, Javad Najafi et al. (2019) proposed a micro-grid plan, with three solutions: (1) hardening the power distribution network; (2) updating the size of energy storage (battery size) in micro-networks to restore loads and water pumps; and (3) improve water tank size in the distribution network to reduce dependence on the operation of the energy distribution network. Infrastructures such as water distribution networks are interrupted due to its dependence on the power grid; this situation causes cities or regions to experience critical conditions, so it is suggested to quickly restore the service of the distribution system and decrease the dependence of the water network on electricity. The same authors add that the partial or total automation of energy distribution improves resilience.
Resilience calculation can be used to evaluate and compare mitigation and preparedness strategies to better organize response and recovery actions. Delimitation of exposed areas through the use of color representation of resilience of different types of buildings against different hurricane intensities is a factor that helps strengthen them (Tokgoz & Gheorghe, 2013). Another problem that occurs after the impact of a hurricane is the interruption of distribution networks of supplies such as water and food. To improve this situation, Shaun Brown and Richard Dawson (2016) presented strategies to avoid the collapse caused by floods; among them, they indicate that reserves and bulk delivery can increase the resilience of the system and delay the impacts of any interruption.
Recovery capacity
At the moment of impact, resilience is understood as the ability to resist shock; if the system does not resist, resilience depends on the resilience of strategic functions to return to normal (Reghezza-Zitt, 2013). Aspects that promote resilience are linked, on the one hand, to the implementation of strategies to maintain the flow of vital supplies, such as food, water, fuels, and other resources before, during, and after a hurricane (Brown & Dawson, 2016); and on the other hand, to the increase and mobilization of resources, restoration sequence, repair of local distribution circuits, and placement of electric power generators.
Hurricanes can simultaneously cause extensive failures in power systems components and lead to cascade failures in other services; this is indicated by Min Ouyang and Leonardo Dueñas-Osorio (2014), and they say that measures to improve the resilience of the electric power system and reduce economic losses strictly obey three factors. The first one deals with increasing and mobilizing restoration resources for repair teams, including crew, vehicles, equipment, and replacement components. The second one refers to the restoration sequence by priority: transmission substations; transmission lines; and vital facilities for public safety, health, and well-being, such as hospitals, water treatment plants, and public services. The third one consists of repairing local distribution circuits and delivering power from distribution nodes to individual users; the greater the number of users served by a local distribution circuit, the higher the repair priority should be. Another action consists in placing electric power generators of different capacities to meet the population immediate needs (Najafi et al., 2018).
Redundancy
Another important aspect that strengthens resilience is the ability to take advantage of previous experiences. Redundancy implies the development of resource management strategies to minimize the use of just-in-time supply chains; avoid spatial grouping of industry; diversify providers and routes; increase investment in the protection of industries with greater connectivity to the broader network of resources; have supply reserves, both locally and regionally; and increase the capacity to handle bulk deliveries of vital supplies (Brown & Dawson, 2016).
Mental health
Mental health is one of the most explored fields of knowledge in hurricane resilience research; this factor highlights the elements that help the recovery of individuals due to trauma suffered by the effects of a hurricane. Factors that promote resilience (Table 8) are associated with social support (Harville et al., 2010), which is obtained through favorable living arrangements such as being married, cohabiting with someone or being parents, and having employment or have high socioeconomic status (Gruebner et al., 2015). Previous experience of people who have been exposed more frequently to hurricane effects enables them to be better prepared to face major disasters, and long term, they become more resilient to mental health difficulties (Pietrzak et al., 2012).
Mental health factors that promote resilience in hurricane-affected areas.
Category | Subcategory | Author |
---|---|---|
Social support | Favorable life arrangements | Harville et al. (2010) Gruebner et al. (2015) |
Being married or cohabiting with someone | ||
Be parents | ||
Have a job | ||
Have high socioeconomic status | ||
Experience | Previous experience | Pietrzak et al. (2012) |
Financing | For home repair | Lowe et al. (2015) |
For the restoration of water, energy services |
Source: Authors, based on the authors mentioned in the table
Some actions that promote mental health are the existence of financing through federal funds for housing recovery, infrastructure repair for rapid restoration of energy, water, and other immediate needs of the population, and investment in resilience measures to withstand future natural disasters (Lowe et al., 2015).
Social
Traditionally, hurricane resilience studies have focused on technical, physical, or material aspects, however, the capacity for social reaction plays a key role in the system's recovery. In the social component, the population's ability to organize to actively participate in decision-making fosters resilience. Social cohesion, culture, and communication are aspects indicated as keys to the organization. Planning and designing social resilience programs should take advantage of local knowledge, learning from previous experiences, and scientific research (Table 9).
Social factors that promote resilience in hurricane-affected areas
Category | Subcategory | Author |
---|---|---|
Organization | Solid and historical roots | Leroy et al. (2016) |
Links | Community social links | |
Cohesion | Community cohesion | |
Culture | Adaptive culture | |
Reorganization | Network restructuring | Overton (2014) |
Mobility | Evacuation strategies | Wang and Taylor (2014) |
Planning | Coordination | Becker et al. (2015) |
Inclusion | ||
Diversity | ||
Responsibility | ||
Commitment | ||
Program design | Vulnerability profile | Torres and Alsharif (2016) |
Social investigation | ||
Local knowledge | ||
Distribution of risks and benefits | ||
Memories and experiences | ||
Indicator system | Monitoring | Frausto et al. (2016) |
Source: Authors, based on the authors mentioned in the table
Social organization
Community social organization can be a key aspect of resilience; its efficiency is strengthened by the presence of solid and historical roots of residents. If they live in the same neighborhood and believe in the same religion, the creation of social ties and relationships is facilitated. The recovery capacity is increased due to community ties and cohesion, culture adaptation, and communication to inform social aspects such as risk awareness of risk, social bond, and community culture (Leroy et al., 2016).
Reorganization
Reorganization capacity after a hurricane allows recovering normality and creates opportunities for the empowerment of vulnerable groups by restructuring networks of small groups with little representation to become community organizations (Overton, 2014).
Human mobility
Mobility data of individuals before, during, and after a hurricane help predict patterns that improve response capacity through the development of evacuation strategies (Wang & Taylor, 2014), revealing an important correlation between the center of mass and radius of gyration of each movement during states of disturbance and stability. Data collected in stable states can help predict disturbance states and human mobility patterns during extreme events and develop strategies to improve evacuation actions and response speed, minimizing human suffering, economic damage, and loss of life.
Planification
Reducing vulnerability and increasing resilience has become a focus of research in disaster planning and in the creation of public policies. The participation of all stakeholders is essential in planning processes. Five aspects that favorably affect hurricane resilience have been identified: (1) coordination indicates that master planning is a way to ensure that individual strategies complement each other and progress toward coordinated resilience; (2) inclusion is about incorporating stakeholders in resilience planning; (3) diversity implies that research and academic organizations serve as neutral facilitators, allowing a diversity of actors to freely share information and plan for results with mutual benefits; (4) responsibility stipulates that leadership helps to build resilience; and (5) commitment benefits efforts for resilience planning (Becker et al., 2015).
Programs design
Programs design refers to factors that must be considered in the design of hurricane recovery planning programs. Five factors were identified in this group: (1) vulnerability profile underlines the importance of developing an updated profile of vulnerable population, and that it be integrated into emergency management or recovery plans, with special consideration to socially marginalized groups; (2) social research consists of rethinking and clarifying the objectives of the register of vulnerable populations, based on research in social sciences to find out how vulnerable groups self-identify; (3) local knowledge points out the importance of creating and promoting opportunities for community members to share local knowledge and past experiences, highlighting innovative solutions; (4) distribution of risks and benefits enhance the need to review existing programs to determine the spatial and temporal distribution of risks and benefits of policies or programs among the population; and (5) experience shows that people´s memories and experiences contribute to the preparation of predictable disasters (Torres & Alsharif, 2016).
Indicator system
Oscar Frausto et al. (2016) developed a system of urban resilience indicators for coastal cities in the Mexican Caribbean. They point out that the system represents a novel tool in climate change and resilience studies. This system allows for monitoring the progress of the community's well-being. It consists of four categories: (1) living conditions of individuals, groups, society, or community; (2) history of adverse events and behavior and learning experiences in response to these events; (3) the destruction and negative impact of main dangers; and (4) the actions taken to face adversities.
Conclusions
Resilience studies require a radical change, moving from a technical paradigm to a systemic one that includes a social focus on issues such as solidarity and human development, linked to the isolation, inequality, social segregation, and fragmentation of most urban areas.
The multidisciplinary nature of the resilience approach, and the diversity of theoretical approaches have made it difficult to develop a transversal definition. Therefore, a consensus between different fields of study and theoretical approaches has not been possible. The persistence of the traditional approach focused on increasing resistance by building physical infrastructure to avoid danger is recognized.
The paradigm shift toward the inclusion of a social approach begins to be glimpsed. The studies reviewed here present conceptualizations, strategies, actions, and recommendations focalized on specific objects. Finally, no comprehensive or holistic model includes the most socialized components of the system (economic, social, institutional, infrastructure, ecological).
The content analysis allowed the identification and categorization of the information obtained in four groups of factors: ecological, social, infrastructure, and mental health, evidencing the close relationship between the elements of the system to achieve its rapid recovery from the disaster caused by a hurricane. The study reinforces current research on the operation of resilience through different spatial and temporal scales, reflecting the factors that promote the resistance and recovery capacity of the system in the face of the negative effects caused by hurricanes. The analysis of the concept development allows defining resilience as the capacity of the system to resist, recover, and transform in face of a disturbance, and emerge stronger to face future adversities. The lack of clarity of the concept of resilience in the literature leads to a critical analysis and identify what remains to be done in the future.
The commitment of scientific research focused on resilience is to create consensus for its conceptualization and operationalization to facilitate its transition to practice. Studies are fragmented, even within the same field of study. Future research should analyze hurricane resilience as a complex, dynamic, and circular system that includes all the elements that interact in the recovery process.
The literature review contributed to concentrating dispersed and fragmented information in a single document, allowing an overview of the approach to hurricane resilience among different areas of knowledge. The classification by categories made it possible to recognize the factors that promote resilience in the different components from a systemic approach.
The need for qualitative studies, based on social research, that integrate the knowledge of the population for planning and decision-making is emphasized. In this sense, it is a priority to determine strategies and take on the recommendations to strengthen disaster recovery capacity. There is a need for a holistic approach that leads appropriate actions to avoid economic and social crises, but especially the loss of human lives. The factors that promote resilience to the hurricanes identified in this review present a broad view of the subject and also provide signals that can help develop programs to increase resilience and decrease the damage caused by these phenomena.
While the results of literature review do not show a global scenario of resilience to hydrometeorological phenomena, they do recognize a group of factors that promote resilience to the damage caused by the impact of hurricanes.
The literature review was based on all open access articles available up to 2019 on the Science Direct and Scopus search engines. Restricted access articles were not considered, only articles that contained the words “resilience” and “hurricanes” in the title.
Due to the small number of articles published under the search criteria used in both databases, all were included in the content analysis; as a result, the selection made it possible to classify and group the data by areas of knowledge and by components of resilience. For future research, it will be necessary to expand and diversify the literature with search criteria other than the word “hurricanes” and include terms associated with hydrometeorological phenomena such as “typhoons,” “tropical storms,” and “cyclones.” It will also be necessary to include critical views on the use of the concept of resilience, especially from social sciences.
Acknowledgments
This study is part of a PhD in environmental sciences at the Center of Regional Development Sciences of the Autonomous University of Guerrero, Mexico, registered in the National Program of Quality Graduate Studies. The development of this work was possible thanks to the support provided by the National Scholarships program of the National Council of Science and Technology of the Mexican government, with scholarship number 589495, and by the mixed scholarship carried out in the Laboratory of Space Observation and Research Division of Sustainable Development, University of Quintana Roo, Mexico. This article follows from the doctoral thesis “Factors that strengthen resilience to hurricanes in coastal areas.”
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