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Vulnerability of aquaculture-related livelihoods to changing climate at the global scale

Neil Handisyde, +2 more
- 01 May 2017 - 
- Vol. 18, Iss: 3, pp 466-488
TLDR
In this article, the distribution of vulnerability of aquaculture-related livelihoods to climate change was assessed at the global scale based on the concept of vulnerability as a function of sensitivity to climate changes, exposure and adaptive capacity.

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This is the peer reviewed version of the following article: Handisyde, N., Telfer,
T. C. and Ross, L. G. (2017), Vulnerability of aquaculture-related livelihoods to
changing climate at the global scale. Fish and Fisheries, 18: 466488, which
has been published in final form at https://doi.org/10.1111/faf.12186. This
article may be used for non-commercial purposes in accordance With Wiley
Terms and Conditions for self-archiving.

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VULNERABILITY OF AQUACULTURE RELATED LIVELIHOODS TO CHANGING
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CLIMATE AT THE GLOBAL SCALE
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Neil Handisyde, Trevor C Telfer, Lindsay G Ross
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Institute of aquaculture, University of Stirling, Stirling, UK
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Contact details:
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Professor Lindsay G Ross, Institute of Aquaculture, University of Stirling. Stirling FK9 4LA, UK.
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Tel: 01786 467882
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Fax: 01786 472133
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Email: l.g.ross@stir.ac.uk
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Running Title: Aquaculture and climate change
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Abstract:
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There is now a strong consensus that during the 20
th
century, and especially during recent
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decades, the earth has experienced a significant warming trend with projections suggesting
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additional further warming during the 21
st
century. Associated with this warming trend are
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changes in climate that are expected to show substantial spatial variability across the earth’s
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surface. Globally fish production has continued to increase during recent years at a rate
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exceeding that of human population growth. However the contribution from capture
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fisheries has remained largely static since the late 1980s with the increase in production
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being accounted for by dramatic growth in the aquaculture sector.In this study the
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distribution of vulnerability of aquaculture related livelihoods to climate change was
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assessed at the global scale based on the concept of vulnerability as a function of sensitivity
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to climate change, exposure to climate change, and adaptive capacity. Use was made of
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national level statistics along with gridded climate and population data. Climate change
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scenarios were supplied using the MAGICC/SCENGEN climate modelling tools. Analysis was
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conducted for aquaculture in freshwater, brackish, and marine environments with outputs
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represented as a series of raster images. A number of Asian countries (Vietnam, Bangladesh,
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Laos, and China) were indicated as most vulnerable to impacts on freshwater production.
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Vietnam, Thailand, Egypt and Ecuador stood out in terms of brackish water production.
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Norway and Chile were considered most vulnerable to impacts on marine production while
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a number of Asian countries (China, Vietnam, and the Philippines) also ranked highly.
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Key Words: Climate change, vulnerability, aquaculture, livelihoods, adaptability
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Table of Contents:
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Introduction
Materials and Methods
Study extent and data selection
Overview of model structure
Data standardisation
Sub-model construction
Sensitivity
Exposure
Adaptive capacity
Vulnerability assessment: model component
combination and weightings
Results
Discussion
Conclusion
References
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Introduction:
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Globally, fish production has increased steadily over the last five decades at a rate exceeding
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that of human population growth so that in 2012 mean World per capita fish consumption
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was estimated at 19.2kg compared with 9.9kg in the 1960s (FAO, 2014). This increase is
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generally seen as beneficial from a health perspective with fish consumption providing an
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important source of high quality protein, essential fatty acids and micronutrients
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(Kawarazuka, 2010). In many poorer regions where fish represents a significant portion of
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consumed animal protein, and where diet in general may lack diversity, the contribution of
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fish to overall nutrition may be especially significant (Belton et al., 2014, Thilsted, 2013).
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While total global fish production has continued to increase, the proportion supplied by
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capture fisheries has remained largely static since the late 80s onwards with increased
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production accounted for by the dramatic growth in the aquaculture sector which was
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estimated at 42.15% of total fisheries production in 2012 (FAO, 2014). Inland fish
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production represents an increasingly large proportion of total global fisheries production;
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33.86% in 2012 compared with 28.43% in 2007 (FAO, 2014). As with total global production
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the growth of the inland fishery sector is largely accounted for by a rapidly expanding
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aquaculture sector representing 78.32% of global inland fisheries production in 2012(FAO,
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2014), with pond culture of warm water fish species playing the largest role (Dugan et al.,
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2007).
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As well as providing an important source of food, aquaculture makes significant economic
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contributions in many regions and provides income and employment for an increasingly
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large number of people. It is estimated that around 16.5 million people are involved in
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aquaculture worldwide, with approximately 16 million of these in Asia (FAO, 2012). As well
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as those directly involved in aquaculture production there will be many more individuals
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whose livelihoods are at least partially connected to the aquaculture sector via the supply of
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goods and services such as: transportation, ice making, feed production and marketing.
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Overall, it is estimated that more than 100 million people depend on aquaculture for a
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living, either as employees in the production and support sectors or as their dependants
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(FAO, 2012).
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There is now a very strong consensus that the earth has experienced a significant warming
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trend during the 20th century, especially the second half, and continuing to the present
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time with an average global temperature increase in the region of 0.72°C for the period
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1951-2012 (IPCC, 2013). There is also strong agreement that this trend is at least partly a
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result of human driven increases in greenhouse gas concentrations (Cook et al., 2013, IPCC,
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2013). It is likely that we are committed to at least some further warming as a function of
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THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research

TL;DR: The Coupled Model Intercomparison Project (CMIP3) dataset as discussed by the authors is the largest and most comprehensive international coupled climate model experiment and multimodel analysis effort ever attempted.
Journal ArticleDOI

A high-resolution data set of surface climate over global land areas

TL;DR: In this paper, the construction of a 10' latitude/longitude data set of mean monthly sur-face climate over global land areas, excluding Antarctica, was described, which includes 8 climate conditions: precipitation, wet-day frequency, temperature, diurnal temperature range, relative humid-ity, sunshine duration, ground frost frequency and windspeed.
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The International Best Track Archive for Climate Stewardship (IBTrACS)Unifying Tropical Cyclone Data

TL;DR: The International Best Track Archive for Climate Stewardship (IBTrACS) project as discussed by the authors collects the historical tropical cyclone best-track data from all available Regional Specialized Meteorological Centers (RSMCs) and other agencies, combine the disparate datasets into one product, and disseminate in formats used by the tropicalcyclone community.
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Mapping vulnerability to multiple stressors: climate change and globalization in India

TL;DR: In this article, the authors present a methodology for investigating regional vulnerability to climate change in combination with other global stressors, which relies on both vulnerability mapping and local-level case studies, and can serve as a basis for targeting policy interventions.
Journal ArticleDOI

Vulnerability of national economies to the impacts of climate change on fisheries

TL;DR: In this paper, the authors compared the vulnerability of 132 national economies to potential climate change impacts on their capture fisheries using an indicator-based approach and found that countries in Central and Western Africa (e.g. Malawi, Guinea, Senegal, and Uganda), Peru and Colombia in north-western South America, and four tropical Asian countries (Bangladesh, Cambodia, Pakistan, and Yemen) were identified as most vulnerable.
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Frequently Asked Questions (12)
Q1. What is the key advantage of using the MAGICC/SCENGEN package?

The key 286 advantage of using the MAGICC/SCENGEN package in the current studyis that it removes the 287 influence that differences in sensitivity between Atmosphere-Ocean General Circulation 288 Models (AOGCM) would have when constructing patterns of change. 

In view of this indicators relating 172 to temperature, water availability and the potential impacts of extreme events were 173 considered most appropriate. 

For tropical areas of central and south-east Asia where much aquaculture takes place 500 projected warming over land is in line with or only slightly above the global average with 501 greater increases projected as one extends further north into China. 

Climate related drivers of change 98 for aquaculture systems can largely be considered as: changes in temperature of inland 99 water or sea surface waters(Hanson and Peterson, 2014, Ficke et al., 2007), changes in 100 oceanographic variables such as currents and waves, changing sea levels and associated 101 inland salination (Nguyen et al., 2014), changes in solar radiation, changes in the availability 102 of fresh water(Hanson and Peterson, 2014), and changes in the frequency and / or intensity 103 of extreme events (Handisyde et al., 2006, De Silva and Soto, 2009). 

East Africa is expected to see increased 542 precipitation while a decrease is projected for the Mediterranean, North Africa and 543 Southern Europe. 

The third priority when selecting indicators of exposure 170 to climate change for the current assessment was choosing those likely to be generally 171 applicable across a broad range of aquaculture practices. 

As with total global production 66 the growth of the inland fishery sector is largely accounted for by a rapidly expanding 67 aquaculture sector representing 78.32% of global inland fisheries production in 2012(FAO, 68 2014), with pond culture of warm water fish species playing the largest role (Dugan et al., 69 2007). 

655 To date the potential interactions of changing climate with the aquaculture sector have 656 been significantly under-researched. 

Global 165 indices of vulnerability have received criticism for lacking such focus (Füssel, 2010, Gall, 166 2007) and while use of a large number of broad ranging indicators may seem attractive in 167 terms of inclusivity and give the impression of a more ‘sophisticated’ modelling process, it is 168 worth considering that as the number and scope of indicators is increased their individual 169 power and focus is typically reduced. 

Aquaculture’s contribution to the economy will 239 not only be dependent on the scale of aquaculture production within a country in terms of 240 physical quantity but also on the relative value of aquaculture products being produced and 241 the overall size of the national economy. 

It is likely that in many cases 149 community level studies will probably be needed to unpick the pathways involved (Handisyde et 150 al., 2006). 

In the case of Handisyde et al. 322 (2006) some areas with little aquaculture production were indicated as vulnerable due to 323scoring highly in terms of exposure and adaptive capacity indicators.