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Modelling Impacts on Fishery
Committed To Securing Livelihoods
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Quantifying The Impacts of Climate Change & Other Catastrophes On The Fishing Industry
Between 2004 and 2005, 665 natural disasters incurred with an estimated death toll of 336.500 lives lost and more than 300 million people being adversely impacted. Besides the Asian tsunami in December 2004 and the earthquake in Pakistan in October 2005, floods were the main cause of the disasters. The total costs of natural disasters in 2005, including the damage caused by Hurricane Katrina, have been estimated at over US$150 billion.
A disaster as severe soil erosion in a river catchment area, caused by deforestation or land degradation, may generate heavy soil sedimentation and result in flooding, storm surge or tsunami. The tsunami of 26 December 2004 is a prime example of how a geophysical disaster can severely impact coastal communities on several continents. Fishery and aquaculture in coastal communities, as well as livelihoods, were adversely impacted, notably in South East Asia. Over 200.000 lives were lost, although this is just a rough estimate. Millions of people in the region were economically debilitated, losing their livelihood, assets and sources of income. Apart from natural disasters there are also military conflicts, demand on water resources
and biological hazards such as disease outbreaks affecting in fish, shrimp, oysters, lobsters, crabs and shellfish farms. They are a variety of other diseases and toxins, as well as low oxygen conditions, that can cause losses in freshwater and marine cage finfish culture.
It is a full-blown conclusion that fishing industry is particularly vulnerable to hydrometeorological disasters, such as hurricanes and floods, because of relatively high exposure of the fishing industry, which takes place in coastal areas.
So clearly, disaster response cannot be limited to saving human lives alone. It must also protect and reinforce the livelihoods of the affected populations. Catastrophe risk management should also be expanded to protecting fisheries, fish farming and aquaculture, livelihoods, productive assets and tools. Lowering the vulnerability of the fishing industry increases its resilience by significantly reducing the impact of disasters on the coastal communities, which helps to accelerate rehabilitation and recovery time.














Fishery Catastrophe Models
Modelled Regions :
Click a region to see countries or islands where courage is available.
North America
Europe
Middle East
Central America & Caribbean
Asia & Pacific
Latin America
Africa
Australia
North America
Canada
United States
Mexico
Central America
Belize
Costa Rica
El Salvador
Honduras
Nicaragua
Panama
Caribbean
The Greater Antilles
Cuba
Puerto Rico
Jamaica
Cayman Islands
Hispaniola:
Haiti
Dominican Republic
Lucayan Archipelago
Bahamas
Turks and Caicos Islands
Lesser Antilles (Leeward Islands)
Anguilla (UK)
Saint Martin (Fr.)
Sint Maarten (Neth.)
Saint-Barthélemy (Fr.)
Saba (Neth.)
Sint Eustatius (Neth.)
Saint Kitts
Nevis
Antigua
Barbuda
Redonda
Bermuda
Montserrat (UK)
Guadeloupe (Fr.)
La Désirade (Fr.)
Marie-Galante (Fr.)
Les Saintes archipelago (Fr.)
St. Thomas (US VI)
St. John (US VI)
St. Croix (US VI)
Water Island (US VI)
Tortola (UK VI)
Virgin Gorda (UK VI)
Anegada (UK VI)
Jost Van Dyke (UK VI)
Aruba (Neth.)
Curaçao (Neth.)
Bonaire (Neth.)
La Orchila
La Tortuga
La Blanquilla
Margarita Island
Coche
Cubagua
Los Roques Archipelago
Lesser Antilles (Windward Islands)
Dominica
Martinique (Fr.)
Saint Lucia
Barbados
Saint Vincent
Grenadines
Carriacou
Petite Martinique
Grenada
Trinidad
Tobago
South America
Argentina
Bolivia
Chile
Cayman Islands
Colombia
Ecuador
Guyana
Guiana (Fr.)
Paraguay
Peru
Suriname
Uruguay
Venezuela
Europe
Andorra
Austria
Belgium
Bulgaria
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Italy
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Monaco
Netherlands
Norway
Poland
Russia
Spain
Sweden
Switzerland
Turkey
United Kingdom
Vatican City
Asia & Pacific
East Asia
China
Hong Kong (China)
Macau (China)
Japan
North Korea
South Korea
Taiwan
South Asia
Bangladesh
India
Maldives
Sri Lanka
South Asia
Brunei
Cambodia
Indonesia
Laos
Malaysia
Myanmar
Philippines
Singapore
Thailand
Timor-Leste
Vietnam
Australasia
Australia
New Zealand
Melanesia
Fiji
New Caledonia (Fr)
Papua New Guinea
Solomon Islands
Vanuatu
Micronesia
Guam (US)
Kiribati
Marshall Islands
Nauru
Northern Mariana Islands (US)
Wake Island (US)
Polynesia
American Samoa (US)
Cook Islands (NZ)
Easter Island (Ch)
French Polynesia (Fr)
Niue (NZ)
Norfolk Island (A)
Tonga
Tuvalu
Samoa
Wallis and Futuna (Fr)
Modelling Vulnerability, Exposure & Risk To Fishery



Accurate Data Driven Models
Fishery, fish farming and aquaculture contributes substantially to the global economy, human food security, employment, aquaculture production, etc. Natural and human-induced disasters can cause significant economic losses and impacts on the livelihoods of fish farmers. Losses in the fishing industry and fisheries associated activities can range from wealthy investors in capital-intensive production and processing companies to artisanal activities, who are not recorded in official statistics. In many developing countries, the fisheries sector often provides a kind of safety net for many low-income households when access to capital is limited. However, the economic repercussion of non-epidemic or epidemic disasters should not be disregarded. Natural and human-induced disasters such as, floods, earthquakes, tsunamis, cyclones, marine and industrial pollution, oil and chemical spills, environmental degradation, rising ocean temperatures as a result of global warming and climate change, etc. can all lead to epidemic disasters in the fishing industry with severe economic repercussions.
Quantifying Fishing Industry Losses
At Infinite Observations we can identify and assist in the quantification of cost-benefit analysis of interventions through our assessment, analytical, visualization, management and operational tools and help policy- and decision-makers mitigate the economic impact regarding fisheries, fish farming and aquaculture sectors. We can help develop risk control practices and alternative approaches. For example, estimating damages cause by localized, small-scale extensive disasters (low intensity and high frequency) that can be economically debilitating can be challenging as opposed to high-intensity and low-recurrence (intensive risk) disasters. The economic losses in the fishing industry can be determined implicitly or explicitly when reporting (direct or indirect) losses related to contents, inventory, business disruption. Spatial and temporal factors are crucial to mitigate losses resulting in fisheries, fish farming, and aquaculture sectors. Other factors, such as seasonality, uncertainty, regulation, and practices, should also be considered.





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