Assessment of Ecological Vulnerability under Oil Spill Stress

Cai, Ling; Yan, Li; Ni, Jialin; Wang, Cui

doi:10.3390/su71013073

Cited by 20 publications

(15 citation statements)

References 15 publications

(20 reference statements)

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“…Diversos são os trabalhos que questionam esta representação apenas geomorfológica do ISL, com destaque para Campo (2017), Castanedo et al (2009) e IPIECA-IOGP (2016). A abordagem de índice integrado, tal qual proposto neste artigo, onde as tradicionais variáveis geomorfológicas e hidrodinâmicas são relacionadas às variáveis biológicas, começou a ser colocada em prática na zona costeira de alguns países como Indonésia, no trabalho de Hernawan e Risdianto (2017), Nigéria, em Lawal e Oyegun (2017), Índia, no trabalho de Kankara et al (2016), Estados Unidos, em Nelson et al (2015), China, em Cai et al (2015) e França, em Fattal et al (2010).…”

Section: Introductionunclassified

Integração de parâmetros geomorfológicos e biológicos no desenvolvimento do Índice Integrado de Sensibilidade do Litoral (IISL) (Integration of geomorphological and biological parameters to develop a Coastal Integrated Sensitivity Index (CISI))

Marinho

Nicolodi

2019

Rev. Bras. Geog. Fis.

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No contexto da indústria petrolífera e suas relações com os ecossistemas enquadram-se os instrumentos de políticas públicas, desenvolvidos a fim de prevenir e minimizar os efeitos de acidentes com óleo e derivados, como as Cartas de Sensibilidade Ambiental ao Derramamento de Óleo (Cartas SAO). Dentre as principais informações contidas nas Cartas SAO está o Índice de Sensibilidade do Litoral (ISL). Este índice mede a sensibilidade dos diferentes ambientes costeiros ao contato com óleo de acordo com as características geomorfológicas da região: exposição às forçantes hidrodinâmicas, tipo de substrato e declividade do litoral. Nesse estudo foi desenvolvida uma metodologia específica que integrou dados geomorfológicos e biológicos no desenvolvimento de um Índice Integrado de Sensibilidade do Litoral (IISL). Tal metodologia desenvolveu previamente dois índices distintos, o Índice Geomorfológico de Sensibilidade (IG) e o Índice Biológico de Sensibilidade (IB), os quais tiveram suas variáveis bem definidas permitindo a integração para desenvolvimento do IISL. Três regiões da Bacia de Pelotas, sul do Brasil, foram escolhidas para a aplicação dessa metodologia. Os resultados indicaram alteração nos valores de sensibilidade ao óleo em seis trechos de linha de costa analisados, apurando o mapeamento destas áreas. Assim, o presente estudo buscou apresentar elementos que venham subsidiar o aprimoramento metodológico de mapeamento de sensibilidade ao óleo no país, contribuindo na gestão de incidentes e no gerenciamento costeiro. A B S T R A C TIn the context of oil industry and its relations with ecosystems the instruments of public policy are framed, which are developed to prevent and minimize the effects accidents involving oil and its derivatives, such as the Environmental Sensibility to Oil (ESO charts). The main information in the ESO charts is the Coastal Integrated Sensitivity Index (CISI), which measures the sensitivity of different coastal environments to contact with oil according to geomorphological characteristics, such as exposure to hydrodynamic forces, substrate type and coastal slope. The concept of sensibility used for the characterization of the coastline does not include in its methodological scope biological information, therefore, a new specific methodology was developed, which integrated geomorphological and biological data to develop a Coastal Integrated Sensitivity Index (CISI). This methodology previously developed two different indexes, the Geomorphological Sensitivity Index (GSI) and Biological Sensitivity Index (BSI), which had their well-defined variables allowing the integration of CISI. Three regions of the Pelotas Basin, south of Brazil, were chosen to test this methodology. The results indicated a change in sensibility values in six coastline segments analyzed, improving the mapping of these áreas. This way, the present study effectively contributed to upgrade the methodology for mapping the sensibility to oil spills, also contributing on the management of accidents involving oil and on coastal management.Keyword: Oil spill, ESO charts, coastal sensitivity, biological and geomorphological data.

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Section: Introductionunclassified

Integração de parâmetros geomorfológicos e biológicos no desenvolvimento do Índice Integrado de Sensibilidade do Litoral (IISL) (Integration of geomorphological and biological parameters to develop a Coastal Integrated Sensitivity Index (CISI))

Marinho

Nicolodi

2019

Rev. Bras. Geog. Fis.

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“…A disturbance or shock could have consequences of similar severity for an ecosystem as an enduring or increasing stress perceived as nearing a threshold or tipping point (Redman 2014). Examples in our literature sample of these exposures were effects of climate change (e.g., Moe et al 2013;Okey et al 2015), land use changes like deforestation or urbanization (e.g., Ventura and Lana 2014), invasive species (e.g., Arianoutsou et al 2013;Olden et al 2011), and effects from pesticides (van Gestel 2012), oil spill (Cai et al 2015) or other toxicants (e.g., Vigneron et al 2015). According to Ippolito et al (2010), the different stressors should be addressed by single and separate vulnerability assessments as long as the combining effects and interrelations are not yet fully understood.…”

Section: Exposure Of Ecosystemsmentioning

confidence: 99%

“…Still, this entails difficult choices about the selection, standardization, weighting, and aggregation of indicators (Barnett et al 2008). Possibly, the application of an analytical hierarchy process helps to create a weighted set of indicators in the GIS overlay procedure (e.g., Cai et al 2015;Wang et al 2015).…”

Section: Operationalization Of Ecosystem Vulnerability Assessmentsmentioning

confidence: 99%

Ecosystem Vulnerability Review: Proposal of an Interdisciplinary Ecosystem Assessment Approach

Weißhuhn

Müller

Wiggering

2018

Environmental Management

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To safeguard the sustainable use of ecosystems and their services, early detection of potentially damaging changes in functional capabilities is needed. To support a proper ecosystem management, the analysis of an ecosystem's vulnerability provide information on its weaknesses as well as on its capacity to recover after suffering an impact. However, the application of the vulnerability concept to ecosystems is still an emerging topic. After providing background on the vulnerability concept, we summarize existing ecosystem vulnerability research on the basis of a systematic literature review with a special focus on ecosystem type, disciplinary background, and more detailed definition of the ecosystem vulnerability components. Using the Web of Science TM Core Collection, we overviewed the literature from 1991 onwards but used the 5 years from 2011 to 2015 for an in-depth analysis, including 129 articles. We found that ecosystem vulnerability analysis has been applied most notably in conservation biology, climate change research, and ecological risk assessments, pinpointing a limited spreading across the environmental sciences. It occurred primarily within marine and freshwater ecosystems. To avoid confusion, we recommend using the unambiguous term ecosystem vulnerability rather than ecological, environmental, population, or community vulnerability. Further, common ground has been identified, on which to define the ecosystem vulnerability components exposure, sensitivity, and adaptive capacity. We propose a framework for ecosystem assessments that coherently connects the concepts of vulnerability, resilience, and adaptability as different ecosystem responses. A short outlook on the possible operationalization of the concept by ecosystem vulnerabilty indices, and a conclusion section complete the review.

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“…Increasing the exploration and transport of crude oil carries the risk of increasing the probability of oil spillage, especially on routes used by ships transporting crude oil and its products [1,2]. The countries of the Baltic Sea Region are focused on preventing oil spills, but attention should also be paid to the planning and coordination of oil pollution action, so that it can proceed as quickly and efficiently as possible when necessary.…”

Section: Introductionmentioning

confidence: 99%

The Model of Optimal Allocation of Maritime Oil Spill Combat Ships

2018

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Abstract:The paper describes a two-stage method for optimizing the location of marine oil spill combat forces and assessing the costs related to this action at the sea. An optimization problem relates to positioning the oil pollution combat ships in ports in such a way that they are able combat the anticipated number of oil spills in certain positions in the Polish coast of the Baltic Sea area in the shortest possible time. The problem was classified as NP-hard; therefore, in the first stage, an evolutionary algorithm was applied. The main output of the model based on the evolutionary algorithm is the time of arrival of combat ships from the port to the oil spill area, as well as the costs of such operation; this is defined as the aim function. The first stage of the model does not simulate combat pollution action; therefore, the results obtained were treated as approximate. In the second stage, the several best allocations of oil spill response resources obtained in the first stage were used as input to a detailed simulation model of combat action. For each chosen allocation, a number of oil combat action simulations were carried out. The model can be used to create and verify oil pollution contingency plans, and finally increase the sustainability of sea and coastal areas.

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Assessment of Ecological Vulnerability under Oil Spill Stress

Cited by 20 publications

References 15 publications

Integração de parâmetros geomorfológicos e biológicos no desenvolvimento do Índice Integrado de Sensibilidade do Litoral (IISL) (Integration of geomorphological and biological parameters to develop a Coastal Integrated Sensitivity Index (CISI))

Integração de parâmetros geomorfológicos e biológicos no desenvolvimento do Índice Integrado de Sensibilidade do Litoral (IISL) (Integration of geomorphological and biological parameters to develop a Coastal Integrated Sensitivity Index (CISI))

Ecosystem Vulnerability Review: Proposal of an Interdisciplinary Ecosystem Assessment Approach

The Model of Optimal Allocation of Maritime Oil Spill Combat Ships

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