This chapter takes stock of the challenges climate change represents for capture fisheries. It discusses how variations in ocean temperatures, changes in currents and acidification, and more frequent extreme weather events are all having significant and growing impacts on fish stocks and the livelihoods of fishers across the globe – creating a need for adaptation strategies. It also discusses how, at the same time, the sector needs to reduce its greenhouse gas emissions to contribute to national and international efforts to move towards net-zero emission economies, calling for mitigation strategies.
OECD Review of Fisheries 2025

4. Climate change and the future of fisheries
Copy link to 4. Climate change and the future of fisheriesAbstract
Key messages on climate change and the future of fisheries
Copy link to Key messages on climate change and the future of fisheriesClimate change presents major challenges for global capture fisheries. Increasing ocean temperatures, changes in currents and acidification, and more frequent extreme weather events are all having significant and growing impacts on wild fish stocks and the livelihoods of fishers across the globe.
Increasing sea surface temperature will lead to changes in where fish are found as well as their size, growth rates and survival: global fisheries catches are forecast to decrease by between 3.4% and 24.1% by the end of the century.
Climate-driven geographical redistribution of fish stocks will be uneven across the globe. Higher latitude regions are expected to see an increase in catch potential while tropical regions could see a decrease.
By 2030, almost one in four transboundary stocks are expected to move, shifting the distribution of fish stocks across maritime borders.
New research is needed to refine our understanding of the relationship between climate, ecosystems and fisheries as information on changes in local climate conditions and how they affect specific fisheries is still lacking for many stocks and fisheries.
Climate impacts, as well as uncertainty on impacts, will need to be factored in sustainable fisheries management both at domestic and multilateral levels (Chapter 5) and will create adaptation challenges that fisheries support policies may also need to address (Chapter 6)
Fish is a relatively low-carbon food. Fish from capture fisheries or aquaculture generally have a lower greenhouse gas (GHG) emissions intensity of production than other animal food products, both by live weight and by gramme of protein. The lowest emissions-intensive fish, such as small pelagics, are produced with emission intensities comparable to those of plant-based protein (and they are also a source of essential vitamins, minerals and fatty acids).
The fight against climate change means fisheries need to reduce their GHG emissions and contribute to economy-wide efforts toward net zero emissions.
At a global scale, fisheries’ GHG emissions are estimated to account for around 4% of all emissions from food production and 0.5% of total emissions.
Fuel use during fishing is the primary source of GHG emissions: it is estimated to account for between 60% and 90% of the sector’s emissions up to the point of landing.
Emissions vary widely both within and between fisheries, notably depending on the vessel and gear used, as well as the abundance and catchability of the fish species targeted (i.e. how far, deep and “findable” fish are).
Evidence-based dialogues between fisheries managers, scientists, and stakeholders would help the sector develop adequate adaptation and mitigation strategies. Further, both capture fisheries and aquaculture should feature in discussions around the impact of climate change on food production and low-carbon food systems as shifts in the balance of production across food sub-sectors could be part of both adaptation and mitigation strategies.
4.1. What’s the issue?
Copy link to 4.1. What’s the issue?Fisheries are at the forefront of climate change impacts as the resource base on which they rely is directly affected by climate-induced changes to the ocean such as warming and acidification. Understanding how fisheries are and will increasingly be impacted by climate change is fundamental for effective climate adaptation. At the same time, fisheries, like all economic sectors, are under pressure to reduce emissions from production and contribute to efforts to achieve net zero emissions at national and international levels.
This chapter explores the challenges that climate change adaptation and mitigation pose for the capture fisheries sector. It reviews what is known about the effects of climate change on fish stock health and their location in the ocean, and the climate footprint of the fisheries sector, while also underscoring where information is missing and flagging areas that need more research. This chapter builds on the findings of an expert workshop on climate and fisheries organised by the OECD Fisheries Committee in November 2023.1 Extending the analysis to fully capture implications on aquaculture will be a priority for future work.
4.2. Impacts on fisheries from climate change
Copy link to 4.2. Impacts on fisheries from climate changeFisheries are already, and will increasingly be, affected by climate change in a number of ways. In 2019, the Intergovernmental Panel on Climate Change (IPCC) forecasted that mean sea surface temperatures will increase by between 0.33°C and 1.29°C by 2050, relative to 1986-2005 averages, under scenarios designed to represent what were seen, at the time, as “best-case and worst-case scenarios” in terms of GHG concentration in the atmosphere (Box 4.1). They also predicted that such increases in sea surface temperatures will be associated with gradual changes in ocean currents and increasing acidification (that is, a decrease of ocean pH), leading to changes in where fish are found as well as their size, growth rates and survival, that is, the productivity of the stocks (IPCC, 2019[1]). In addition, climate change is leading to more frequent and more severe weather events, notably marine heatwaves, which have more immediate impacts on fishers’ incomes and the risks they take during fishing activities and pose specific challenges to fisheries managers.
The years 2023 and 2024 were the hottest on record for global sea surface temperatures (Figure 4.1), according to data from the European Union’s Copernicus Climate Change Service (Copernicus, 2025[2]), and 2023 was described as unprecedented and extraordinary by the World Meteorological Organization (WMO, 2023[3]).
Figure 4.1. Average sea surface temperature between 1970 and January 2025
Copy link to Figure 4.1. Average sea surface temperature between 1970 and January 2025
Note: Average daily sea surface temperature between 60° north (latitude of Oslo) and 60° south (edge of Antarctic continent).
Source: Generated using Copernicus Climate Change Service (C3S), implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF) (2025[2]).
Box 4.1. Intergovernmental Panel on Climate Change’s climate change scenarios
Copy link to Box 4.1. Intergovernmental Panel on Climate Change’s climate change scenariosThroughout its latest comprehensive report, the Intergovernmental Panel on Climate Change (IPCC) makes use of two main climate projection scenarios: the Representative Concentration Pathways (RCP) 2.6 and 8.5. These representative pathways are examples of emissions trajectories that would lead to a certain amount of change in warming potential in the atmosphere.
RCP 2.6 is the lowest emissions scenario (i.e. best-case scenario) used in the 2019 IPCC report on the oceans and has a two in three chance of limiting global warming to below 2°C by 2100 (Table 4.1). This scenario assumes net zero emissions are achieved by around 2050 and net negative emissions by 2100. RCP 8.5 is the highest emissions scenario (i.e. worst-case scenario) modelled and projects a scenario with no significant policies to combat climate change, leading to continued sustained growth in emissions (IPCC, 2019[1]). The IPCC report also includes two intermediate emissions pathways, RCP 4.5 and RCP 6.0.
Table 4.1. Projected global mean surface sea temperature increase relative to 1850-1900
Copy link to Table 4.1. Projected global mean surface sea temperature increase relative to 1850-1900
Scenario |
Near term 2031-2050 |
End of century 2081-2100 |
||
---|---|---|---|---|
Mean (°C) |
Likely range (°C) |
Mean (°C) |
Likely range (°C) |
|
RCP 2.6 |
0.64 |
0.33-0.96 |
0.73 |
0.2-1.27 |
RCP 8.5 |
0.95 |
0.6-1.29 |
2.58 |
1.64-3.51 |
Source: IPCC (2019[1]).
What follows discusses the impacts from climate change on fisheries starting with two of the main gradual impacts of climate change on fisheries, i.e. changes in the abundance of fish stocks and changes in where fish stocks are found, then turning to marine heatwaves, the aspect of climate change which has had the most noticeable impacts on commercial fisheries to date, and finishing with ocean acidification, which is one of the least documented aspects of climate change impacts.
4.2.1. Global abundance of fish stocks will decline on average
Almost all fishing regions are likely to experience reductions in the abundance of fish and sustainable capture fishing potential in the future due to climate change-driven influences, notably increases in ocean temperatures and ocean acidification (Hilmi et al., 2015[4]; IPCC, 2019[1]). The only exception is some higher latitude regions, where the abundance of commercially exploited fish may increase (Lotze et al., 2019[5]; Blanchard et al., 2012[6]). These predictions are notably guided by Cheung et al.’s (2010[7]) model forecasts, which estimate that tropical regions could see a decrease in abundance of around 40% while high latitude regions could see an increase between 30 and 70%. As a result of these trends, the IPCC estimates that global fisheries catches could decrease by between 3.4% and 24.1% by the end of the century under its best- and worst-case emissions scenarios.
The composition of species in capture production is also expected to change, with decreases in cold water species and increases in warm water species, and these trends are expected to be stronger in higher latitude regions (IPCC, 2019[1]). The sum of local species extinctions and expansions is known as species turnover and describes the rate at which species change in an ecosystem. Higher species turnover means ecosystems are changing faster, which may lead to decreased catches and fisheries closures for some species and increased catches and new fisheries for others, complicating the task facing fisheries managers and increasing the need for adaptive management. Under its worst-case emissions scenario, the IPCC predicts species turnover will increase by up to 39% in tropical waters and 48% in higher latitude regions by 2100 relative to 2019.
It remains difficult to predict the timing, magnitude and location of potential changes to fisheries production in the future. All forecast models are characterised by high degrees of uncertainty and there are multiple, sometimes contradictory, forecasts of the potential effects of climate change on fisheries. For example, under the lowest warming scenario, RCP 2.6, there is disagreement between different models as to whether overall catches will increase or decrease in regions that are important to OECD fisheries, such as the Mediterranean, the north-west Atlantic and the Southern Ocean.2 Under the highest warming scenario, the direction of forecast trends in catches are clearer; however, there is still some uncertainty in the Mediterranean and waters around New Zealand as to whether catches may increase or decrease as oceans warm. It also remains difficult to separate the effects of environmental change from the impacts of fishing pressure on stocks (IPCC, 2019[1]).
Finally, while global scale modelling can provide an overarching picture of trends, information is needed at a local level to inform management decisions for specific fisheries. This information on changes in local climate conditions and how they affect specific fisheries is still lacking for many stocks and fisheries and new research is needed to refine our understanding of the relationship between climate, ecosystems and fisheries.
4.2.2. The location of fish stocks will change
Some fish stocks are already moving as a result of climate change. However, as of 2023, most climate-driven range shifts3 have been small and slow. For example, Poloczanksa et al. (2013[8]) found that the marine species which had undergone range shifts between 1950 and 2009 had on average either expanded 72 km per decade or contracted by 15 km per decade.
Only a few large-scale range shifts have been observed because temperatures have not yet increased to the point of driving large, sustained changes in species ranges but also due to a lack of data on climate-driven shifts (Fiechter et al., 2021[9]; Chang et al., 2021[10]; Palacios‐Abrantes et al., 2022[11]; IPCC, 2019[1]). One example of a more significant observed change in range driven by climate change is the expansion in the range of short- and long-finned squid4 in the North Sea by around 500 km² over the last 35 years due, in part, to warmer waters in winter (Kooij, Engelhard and Righton, 2016[12]).5
Mechanisms for monitoring the impacts of changing ocean temperatures on the location of fish are fragmented and unevenly distributed globally. However, regional initiatives are developing. For example, the Distribution Mapping and Analysis Portal (DisMAP) project is a collaboration between the United States National Oceanic and Atmospheric Administration, Rutgers University, and Fisheries and Oceans Canada and aims to track long-term movements in the range and depth profile of species over several decades.6
Shifts in the ranges of marine species are expected to continue at a rate of between tens and hundreds of kilometres per decade for affected species, with faster range shifts expected under higher emissions scenarios (Jones and Cheung, 2014[13]; IPCC, 2019[1]). Further, by 2030, 23% of transboundary stocks are expected to shift, impacting 75% of the world’s economic exclusive zones (Palacios‐Abrantes et al., 2022[11]). This could undermine fisheries’ sustainability by reducing the effectiveness of existing management measures and create a need for new co-management arrangements.
Climate-driven shifts in species ranges have, in fact, already led to significant changes to both regional and international management arrangements for the OECD Member fisheries. As commercial species continue to move due to warming waters, fisheries managers will need to ensure they have mechanisms in place to accommodate future changes, as lack of adaptation in co-operation arrangements could lead to overfishing and detrimental impacts on fishing communities (see Chapter 5 for more details).
4.2.3. Marine heatwaves will increasingly affect fisheries
Marine heatwaves, which consist of extreme and short-lived episodes of increased sea temperature, are mostly caused by climate change.7 Frölicher, Fischer and Gruber (2018[14]) estimate that 87% of heatwaves observed today can be attributed to human-induced climate change. They have occurred in most ocean regions in the last two decades (Figure 4.2) and are expected to become more frequent and longer lasting. Studies estimate that annual marine heatwave days doubled between 1982 and 2016, with increases in both the frequency and duration (Oliver et al., 2018[15]; Frölicher, Fischer and Gruber, 2018[14]). The IPCC forecasts that this trend will continue, with the global average number of marine heatwave days increasing to 4-12 times current levels by 2100. The largest increases are expected in Arctic and tropical waters (IPCC, 2019[1]).
Figure 4.2. Occurrence of major marine heatwaves between 2000 and 2021
Copy link to Figure 4.2. Occurrence of major marine heatwaves between 2000 and 2021Source: European Union, Copernicus Marine Service Information (2023[16]) adapted from: Oliver et al.. (2021[17]), Marine Heatwaves.
Marine heatwaves are already altering ecosystems and impacting fisheries in ways that over a matter of days or weeks can generate significant and long-lasting adverse impacts for the welfare of fishers and dependent communities. Major marine heatwaves have been documented as having led to shifts in species range, destruction of habitat and even the collapse of commercial fisheries in recent years (Smith et al., 2021[18]; Sen Gupta et al., 2020[19]; Oliver et al., 2021[17]). As a result, governments have spent millions supporting those affected (Holbrook et al., 2020[20]; Oliver et al., 2021[17]).
Examples of documented economic losses from marine heatwaves include an estimated loss of USD 3 million linked to the closure of the swimmer crab fishery off the west coast of Australia for 18 months during a 2011 heatwave (Smith et al., 2021[18]); and the USD 141 million in government support to compensate fishers for losses related to the 2014-16 heatwave that hit the west coast of North America (Free et al., 2023[21]). The latter example was extensively studied and provides an illustration of the range impacts marine heatwaves can have on fisheries (Box 4.2).
Marine heatwaves are expected to be one of the main drivers of climate change impacts on fisheries in the short and medium terms. The IPCC (2019[1]), for example, notes that the impacts of marine heatwaves will be more important for fisheries than the slow rise in average sea temperature over the next 10-30 years. Because they can develop quickly and be hard to anticipate, marine heatwaves pose specific challenges for fisheries managers and may require specific policy responses, highlighting the importance of addressing them in climate change adaptation strategies for fisheries.
Box 4.2. “The Blob” heatwave, North-east Pacific, 2015
Copy link to Box 4.2. “The Blob” heatwave, North-east Pacific, 2015Between 2014 and 2016, “the Blob” heatwave developed offshore and spread to coastal waters stretching from Mexico to Alaska. It peaked in 2015/16 and resulted in an increased range for some species and destruction of habitat and the collapse of fisheries for others. The consequences of “the Blob” heatwave for the fishing sector included:
Increased squid range and a fivefold increase in abundance along the US west coast, persisting after the heatwave. This led to new management arrangements for squid in Oregon, where abundance increased almost 40-fold following the heatwave (Chasco et al., 2022[22]).
Reduced abundance of salmon in the Gulf of Alaska due to lower recruitment and increased mortality, resulting in USD 56.3 million in disaster relief payments to commercial fishers (Free et al., 2023[21]; NOAA Fisheries, 2023[23]).
Loss of kelp forests. This reduced red urchin and abalone catches, which have still not entirely recovered. The value of the recreational abalone fishery alone to the local economy in California and Oregon was estimated at around USD 24-44 million annually. This fishery has not recovered and was still closed in 2023 (Free et al., 2023[21]; NOAA Fisheries, 2023[23]).
Closure of the Californian crab fishery for six months, with catches reduced by 50% for the following season due to algal blooms. The government allocated USD 28.5 million to compensate fishers for lost revenue (Free et al., 2023[21]; NOAA Fisheries, 2023[23]).
Collapse of Alaskan cod fishery due to increased adult mortality and decreased prey availability. This fishery, which recorded annual catches of around 70 000 tonnes before the heatwave, saw reduced abundance and falling catches, ultimately leading to the full closure of the fishery in 2020. The fishery has since reopened, but catches are still less than one-third of what they were prior to the heatwave. The US government provided USD 17.8 million in compensation to support cod-fishing businesses (Alaska Department of Fish and Game, 2023[24]; 2023[25]; Free et al., 2023[21]; Hulson et al., 2022[26]).
4.2.4. Ocean acidification
As well as increasing in temperature, the ocean is becoming more acidic as it absorbs CO2 from the atmosphere (OECD, 2021[27]), with potentially negative consequences for fisheries. This trend will continue into the future (Table 4.2). The effects of ocean acidification will vary between regions, with ocean currents and local geography leading to faster increases in acidity in some areas than in others. Hilmi et al. (2015[4]) note that increased ocean acidity will negatively impact the ability of certain plankton and molluscs to build their shells and other structures, especially during juvenile stages. This will, in turn, affect finfish through reduced availability of plankton as food. However, the extent of these flow-on impacts remains somewhat uncertain due to difficulties in predicting how organisms and food webs may adapt to any changes. Finfish growth and survival are also likely to be directly affected by the changing water chemistry. Finally, the negative effects of acidification are also exacerbated by other stressors such as increased water temperatures due to climate change. The overall effects of acidification on fisheries remain uncertain and depend on both the capacity of species to adapt to changing pH levels and the role of affected species in the food chain. More research is required to better understand the potential impacts of acidification on fisheries (Hilmi et al., 2015[4]).
Table 4.2. Projected global mean surface pH change relative to 1850-1900
Copy link to Table 4.2. Projected global mean surface pH change relative to 1850-1900
Near term (2031-50) |
End of century (2081-2100) |
|||
---|---|---|---|---|
Scenario |
Mean (units) |
Likely range (units) |
Mean (units) |
Likely range (units) |
RCP 2.6 |
-0.072 |
-0.072 to -0.072 |
-0.065 |
-0.065 to -0.066 |
RCP 8.5 |
-0.108 |
-0.106 to -0.110 |
-0.315 |
-0.313 to -0.317 |
Source: IPCC (2019[1]).
4.3. Greenhouse gas emissions in fish production
Copy link to 4.3. Greenhouse gas emissions in fish production4.3.1. Fish are a relatively low emissions food source
In general, fish from wild catch or aquaculture have a lower GHG emissions intensity of production than other animal products, both by live weight and by gramme of protein (Figure 4.3). Although there has been a global increase in capture fisheries’ emissions intensity in recent decades (the extent of which is detailed below), average emissions from fish production (both from capture fisheries and aquaculture) are lower than for most other animal protein sources (IPCC, 2023[28]).8
From a nutritional perspective, while plant-based proteins are less emissions-intensive (in CO2‑eq/kg of protein) than almost all animal products, the lowest emissions-intensive fish, such as small pelagics, are comparable to the emissions intensity of plant-based protein. Aside from protein, fish is also an important source of essential vitamins, minerals and fatty acids. Some recent studies – such as Hallström (2019[29]) – compare fisheries emissions based on an overall nutrition rating.9 This decreases the relative emissions intensity of some highly nutritious species, such as small pelagic fish and oysters, while increasing it for some finfish species with very high salt content. Finally, if emissions are considered on the basis of landed value rather than production weight (e.g. CO2-eq/USD), crustaceans are less emissions-intensive than land‑based animal products in most cases (Parker and Tyedmers, 2014[30]; Parker et al., 2015[31]).
Figure 4.3. Greenhouse gas emissions intensity of protein production
Copy link to Figure 4.3. Greenhouse gas emissions intensity of protein production
Note: Ranges of greenhouse gas intensities [kgCO2-eq per 100 g protein, 10–90th percentile] in protein-rich foods, quantified via a meta-analysis of attributional lifecycle assessment studies using economic allocation. Aggregation of CO2, CH4, and N2O emissions in Poore and Nemecek (2018[32]) updated to use AR6 100-year GWP. Data for capture fish, crustaceans, and cephalopods from Parker et al. (2018[33]), with post-farm data from Poore and Nemecek (2018[32]), where the ranges represent differences across species groups. CH4 emissions include emissions from manure management, enteric fermentation, and flooded rice only.
a. Grains are not generally classed as protein-rich, but they provide about 41% of global protein intake. Here grains are a weighted average of wheat, maize, oats, and rice by global protein intake.
b. Conversion of annual to perennial crops can lead to carbon sequestration in woody biomass and soil, shown as negative emissions intensity.
GHG = greenhouse gas.
Source: IPCC (2023[28]).
Indicators of GHG emissions intensity and food life-cycle carbon emissions assessments, however, are highly influenced by methodological choices, so standardisations across products compared are needed. For example, Gephart et al. (2021[34]) provide a harmonised comparison of fish and chicken, which confirms that many fed aquaculture groups outperform industrial chicken, the most efficient major terrestrial animal-source food. They find that capture fisheries vary widely in their GHG emissions, with some species having a higher GHG emissions intensity than chicken, notably demersal flatfish and crustaceans, which can have relatively high emissions because of the fuel-intensive fishing methods used (namely bottom trawling and boats using pots and traps) and some lower.
Together, these findings suggest that both capture fisheries and aquaculture should feature in discussions on low-carbon food systems as shifts in the balance of production across food sub-sectors could be part of mitigation strategies by consumers, food actors or governments.
4.3.2. Emissions have increased
Overall, the emissions intensity of capture fisheries has increased in recent decades. Parker et al. (2018[33]) estimated that global fisheries emissions increased by 1.2% annually between 1990 and 2011, while catches remained steady.
The increase in emissions is explained by changes in the nature of fishing activities, notably:
higher catches in fuel-intensive crustacean fisheries
increased fuel use per kilogramme (kg) of landed catch in large pelagic fisheries, primarily tuna10
increased fuel use per kg of landed catch in bottom trawl fisheries (Parker et al., 2018[33])11
growing motorisation of the global fleet (Greer et al., 2019[35]).
Despite the overall increase in emissions from fisheries, since 1990 some individual fisheries have experienced a substantial decline in emissions intensity and total emissions, largely due to increased fuel efficiency from improved technology or healthier stocks, highlighting the potential of sustainable management to also reduce emissions intensity. Consequently, fishers have been able to catch the same amount of fish with less fishing effort, and therefore with lower GHG emissions (Parker and Tyedmers, 2014[30]).
4.3.3. Fuel use during fishing is the main source of emissions
Fuel use during fishing is the main source of emissions from capture fisheries. It is estimated to account for 60-90% of emissions up to the point of landing (Parker et al., 2018[33]; Tyedmers, 2004[36]; FAO, 2015[37]).12 Further, several studies estimate that up to the point of retail sale, fishing activities altogether account for 75-95% of overall GHG emissions, with transport, processing and storage accounting for the rest (Ziegler et al., 2016[38]). Fuel costs are also significant for many fishers, typically accounting for 5-45% of operating costs (STECF, 2022[39]; Parker et al., 2015[31]; Greer et al., 2019[35]).
A number of factors influence fuel-use intensity, measured in litres of fuel used per kilogramme of catch. The most important of these are vessel and gear type; the characteristics of target species, with some fish more “catchable” than others – which itself is influenced by the stock abundance and management system. As a result, emissions intensity varies widely across fisheries. Noting these differences, and understanding how policies can influence them, can help fisheries managers to prioritise policy and management effort to achieve GHG emissions reduction objectives.
Bottom trawl fisheries and pot/trap fisheries have some of the highest emissions intensities (measured by GHG emissions per kg of captured fish). The picture is different if emissions intensity is measured relative to value, not weight. However, even by this measure, higher value trawl-caught flatfish and pot and trawl-caught crustaceans still have the highest emissions intensity, although the difference is smaller (Parker and Tyedmers, 2014[30]). Bottom trawl fishing is emissions-intensive due to the resistance of dragging nets through the water, while pot and trap fishing is highly emissions-intensive due to the long distances travelled between crustacean pots and traps compared to the relatively low weight of catches (Bastardie et al., 2022[40]). These gear types also account for a large share of fishing emissions globally (Parker and Tyedmers, 2014[30]). Together, pot and trawl fisheries for crustaceans are estimated to account for around 6% of global catches but 22% of emissions (Parker et al., 2018[33]). Purse seine, gillnet and pelagic trawl fisheries, on the other hand, are significantly less emissions-intensive. As a comparison, purse seine and pelagic trawl fisheries targeting small pelagics account for around 20% of global catches but only 2% of emissions.
4.3.4. Some variation in emissions intensity can be explained by the context in which fishing takes place
There are important local differences in the emissions intensity of different gear types, even within and between fisheries using the same gear. These differences are driven by a variety of factors, including species characteristics, fishing practices or management measures that influence fishing practices (Table 4.3) (Ziegler and Hornborg, 2014[41]; Waldo and Paulrud, 2016[42]; Driscoll and Tyedmers, 2010[43]; CEFAS, 2022[44]; Parker et al., 2015[31]; Bastardie et al., 2022[40]). As a result, it is possible for the emissions intensity of production for one fisher to be double that of another despite using the same gear and targeting the same species (Table 4.4).13 Where differences are explained by factors that can be influenced by management measures, such as stock abundance, vessel type or fishing style, fisheries managers have an opportunity to bring down emissions.
Table 4.3. Factors influencing variations in emissions between similar fisheries
Copy link to Table 4.3. Factors influencing variations in emissions between similar fisheries
Factors |
Examples |
---|---|
Species characteristics |
Abundance and catchability can influence the efficiency of fishing operations and their emissions intensity. |
Fishing practices |
Vessel choice, fishing gear and distance to fishing grounds all impact emissions intensity. |
Management measures |
Management measures can decrease efficiency for example by mandating vessel size or fishing days, or it can increase it by improving allocation of fish such as through total allowable catches, reducing inefficient competition for fish between fishers. |
Sources: Ziegler and Hornborg (2014[41]); Waldo and Paulrud (2016[42]); Driscoll and Tyedmers (2010[43]); CEFAS (2022[44]); Parker et al. (2015[31]); Bastardie et al. (2022[40]).
Table 4.4. Variations in fuel intensity within fisheries
Copy link to Table 4.4. Variations in fuel intensity within fisheriesLitres/tonne of catch
Fishery |
Minimum |
Mean |
Maximum |
---|---|---|---|
Crustacean bottom trawls Oceania |
1 165 |
4 125 |
10 886 |
Crustacean bottom trawls Europe |
377 |
3 083 |
17 300 |
Crustacean pots and traps Oceania |
846 |
3 803 |
9 474 |
Crustacean pots and traps Europe |
334 |
834 |
2 156 |
Flatfish bottom trawls Europe |
631 |
2 851 |
4 062 |
Flatfish bottom trawls North America |
957 |
1 084 |
1 338 |
Finfish surrounding nets Europe |
104 |
466 |
659 |
Finfish surrounding nets Oceania |
62 |
346 |
497 |
Small pelagics surrounding nets North America |
20 |
42 |
160 |
Small pelagics surrounding nets Europe |
8 |
84 |
506 |
Small pelagics surrounding nets Oceania |
29 |
89 |
217 |
Large pelagics hook and line Oceania |
937 |
1 676 |
3 300 |
Large pelagics hook and line Europe |
570 |
1 745 |
3 478 |
Large pelagics hook and line North America |
385 |
1 495 |
2 678 |
Source: Parker and Tyedmers (2014[30]).
In addition to emissions from fuel use, bottom trawling fisheries also release CO2 from sediments on the sea floor (Sala et al., 2021[45]). While some authors have estimated these emissions to be of a similar scale to all other emissions from fishing, further data and research are needed before drawing conclusions. Indeed, the magnitude of these releases, and the fraction released into the atmosphere, remain subject to debate because of uncertainties around the theoretical assumptions underpinning the estimates (Hiddink et al., 2023[46]; Atwood et al., 2023[47]). Epstein et al. (2022[48]) compare various studies on emissions released from sediments during trawling, with some showing emissions increases, others showing decreases, and still others showing no change, depending on the location and study methods.
4.4. Further reflections
Copy link to 4.4. Further reflectionsThere is a large body of evidence for the impacts that climate change is having and will have on fisheries globally. However, there is often a gap between the scale at which predictions are made (e.g. regional and global) and the scale at which impacts are felt (e.g. individual fisheries and fishers). Consequently, it is difficult for policymakers to know what specific challenges the sector will face in each fishery, making it difficult to plan for the future. With climate change, fisheries management systems will come under increasing pressure in both the short and long term. It is therefore important to ensure these systems are able to both adapt to the challenges in the short and long terms while supporting the sector as it tries to reduce emissions.
Finally, to further increase the contribution of fisheries and aquaculture to development of low-carbon, sustainable and resilient food systems more investment is required. Specifically, investing in better understanding the implications of climate change on key fisheries, and aquaculture production systems and the relative carbon-efficiency of different fish production systems is important to clarify the role that they can play in climate mitigation strategies.
References
[25] Alaska Department of Fish and Game (2023), 2020 Gulf of Alaska Pacific Cod Fishery Disaster Relief Fund Final Spend Plan, Alaska Department of Fish and Game, https://www.adfg.alaska.gov/index.cfm?adfg=fishing.2020_goa_pcod_disaster_relief_fund.
[24] Alaska Department of Fish and Game (2023), Final Spend Plan for Funds Appropriated to Address the 2020 Gulf of Alaska Pacific Cod Fishery, Alaska Department of Fish and Game, https://www.adfg.alaska.gov/static/fishing/pdfs/2020_goa_pcod_final_spend_plan.pdf.
[47] Atwood, T. et al. (2023), “Reply to: Quantifying the carbon benefits of ending bottom trawling”, Nature, Vol. 617/7960, pp. E3-E5, https://doi.org/10.1038/s41586-023-06015-6.
[40] Bastardie, F. et al. (2022), “Reducing the fuel use intensity of fisheries: Through efficient fishing techniques and recovered fish stocks”, Frontiers in Marine Science, Vol. 9, https://doi.org/10.3389/fmars.2022.817335.
[6] Blanchard, J. et al. (2012), “Potential consequences of climate change for primary production and fish production in large marine ecosystems”, Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 367/1605, pp. 2979-2989, https://doi.org/10.1098/rstb.2012.0231.
[44] CEFAS (2022), Carbon Emissions in UK Fisheries: Recent Trends, Current Levels, and Pathways to Net Zero, Centre for Environment, Fisheries and Aquaculture Science, https://www.cefas.co.uk/media/x2wh5q45/final-report-zero-carbon-fisheries-final.pdf?e=v3pgcZ.
[10] Chang, Y. et al. (2021), “Evaluation of the impacts of climate change on albacore distribution in the South Pacific Ocean by using ensemble forecast”, Frontiers in Marine Science, Vol. 8, https://doi.org/10.3389/fmars.2021.731950.
[22] Chasco, B. et al. (2022), “Evidence of temperature-driven shifts in market squid doryteuthis opalescens densities and distribution in the California current ecosystem”, Marine and Coastal Fisheries, Vol. 14/1, https://doi.org/10.1002/mcf2.10190.
[7] Cheung, W. et al. (2010), “Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change”, Global Change Biology, Vol. 16/1, pp. 24-35, https://doi.org/10.1111/j.1365-2486.2009.01995.x.
[2] Copernicus (2025), “The Copernicus Climate Change Service (C3S), implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF)”, https://pulse.climate.copernicus.eu/.
[43] Driscoll, J. and P. Tyedmers (2010), “Fuel use and greenhouse gas emission implications of fisheries management: The case of the New England Atlantic herring fishery”, Marine Policy, Vol. 34/3, pp. 353-359, https://doi.org/10.1016/j.marpol.2009.08.005.
[48] Epstein, G. et al. (2022), “The impact of mobile demersal fishing on carbon storage in seabed sediments”, Global Change Biology, Vol. 28/9, pp. 2875-2894, https://doi.org/10.1111/gcb.16105.
[16] European Union, Copernicus Marine Service Information (2023), “Marine heatwaves”, Mercator Ocean, https://marine.copernicus.eu/explainers/phenomena-threats/heatwaves.
[37] FAO (2015), Fuel and Energy Use in the Fisheries Sector: Approaches, Inventories and Strategic Implications, Food and Agriculture Organization, Rome, https://www.fao.org/3/i5092e/i5092e.pdf.
[9] Fiechter, J. et al. (2021), “Projected shifts in 21st century sardine distribution and catch in the California current”, Frontiers in Marine Science, Vol. 8, https://doi.org/10.3389/fmars.2021.685241.
[21] Free, C. et al. (2023), “Impact of the 2014-2016 marine heatwave on US and Canada west coast fisheries: Surprises and lessons from key case studies”, Fish and Fisheries, Vol. 24/4, pp. 652-674, https://doi.org/10.1111/faf.12753.
[14] Frölicher, T., E. Fischer and N. Gruber (2018), “Marine heatwaves under global warming”, Nature, Vol. 560/7718, pp. 360-364, https://doi.org/10.1038/s41586-018-0383-9.
[34] Gephart, J. et al. (2021), “Environmental performance of blue foods”, Nature, Vol. 597/7876, pp. 360-365, https://doi.org/10.1038/s41586-021-03889-2.
[35] Greer, K. et al. (2019), “Global trends in carbon dioxide (CO2) emissions from fuel combustion in marine fisheries from 1950 to 2016”, Marine Policy, Vol. 107, p. 103382, https://doi.org/10.1016/j.marpol.2018.12.001.
[29] Hallström, E. et al. (2019), “Combined climate and nutritional performance of seafoods”, Journal of Cleaner Production, Vol. 230, pp. 402-411, https://doi.org/10.1016/j.jclepro.2019.04.229.
[46] Hiddink, J. et al. (2023), “Quantifying the carbon benefits of ending bottom trawling”, Nature, Vol. 617/7960, pp. E1-E2, https://doi.org/10.1038/s41586-023-06014-7.
[4] Hilmi, N. et al. (eds.) (2015), Bridging the Gap Between Ocean Acidification Impacts and Economic Valuation: Regional Impacts of Ocean Acidification on Fisheries and Aquaculture, International Union for Conservation of Nature, Gland, Switzerland, https://doi.org/10.2305/IUCN.CH.2015.03.en.
[20] Holbrook, N. et al. (2020), “Keeping pace with marine heatwaves”, Nature Reviews Earth & Environment, Vol. 1/9, pp. 482-493, https://doi.org/10.1038/s43017-020-0068-4.
[26] Hulson, P. et al. (2022), “Chapter 2: Assessment of the Pacific cod stock in the Gulf of Alaska”, https://apps-afsc.fisheries.noaa.gov/Plan_Team/2022/GOApcod.pdf.
[28] IPCC (2023), “Cross-sectoral Perspectives”, in Climate Change 2022: Mitigation of Climate Change, Cambridge University Press, https://doi.org/10.1017/9781009157926.001.
[1] IPCC (2019), IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, Pörtner et al. (eds.), Intergovernmental Panel on Climate Change, https://www.ipcc.ch/site/assets/uploads/sites/3/2019/12/SROCC_FullReport_FINAL.pdf.
[13] Jones, M. and W. Cheung (2014), “Multi-model ensemble projections of climate change effects on global marine biodiversity”, ICES Journal of Marine Science, Vol. 72/3, pp. 741-752, https://doi.org/10.1093/icesjms/fsu172.
[12] Kooij, J., G. Engelhard and D. Righton (2016), “Climate change and squid range expansion in the North Sea”, Journal of Biogeography, Vol. 43/11, pp. 2285-2298, https://doi.org/10.1111/jbi.12847.
[5] Lotze, H. et al. (2019), “Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change”, Proceedings of the National Academy of Sciences, Vol. 116/26, pp. 12907-12912, https://doi.org/10.1073/pnas.1900194116.
[23] NOAA Fisheries (2023), “Looking back at the Blob: Record warming drives unprecedented ocean change”, news, https://www.fisheries.noaa.gov/feature-story/looking-back-blob-record-warming-drives-unprecedented-ocean-change.
[27] OECD (2021), “Adapting to a changing climate in the management of coastal zones”, OECD Environment Policy Papers, No. 24, OECD Publishing, Paris, https://doi.org/10.1787/b21083c5-en.
[17] Oliver, E. et al. (2021), “Marine heatwaves”, Annual Review of Marine Science, Vol. 13/1, pp. 313-342, https://doi.org/10.1146/annurev-marine-032720-095144.
[15] Oliver, E. et al. (2018), “Longer and more frequent marine heatwaves over the past century”, Nature Communications, Vol. 9/1324, https://doi.org/10.1038/s41467-018-03732-9.
[11] Palacios‐Abrantes, J. et al. (2022), “Timing and magnitude of climate‐driven range shifts in transboundary fish stocks challenge their management”, Global Change Biology, Vol. 28/7, pp. 2312-2326, https://doi.org/10.1111/gcb.16058.
[33] Parker, R. et al. (2018), “Fuel use and greenhouse gas emissions of world fisheries”, Nature Climate Change, Vol. 8/4, pp. 333-337, https://doi.org/10.1038/s41558-018-0117-x.
[31] Parker, R. et al. (2015), “Environmental and economic dimensions of fuel use in Australian fisheries”, Journal of Cleaner Production, Vol. 87, pp. 78-86, https://doi.org/10.1016/j.jclepro.2014.09.081.
[30] Parker, R. and P. Tyedmers (2014), “Fuel consumption of global fishing fleets: Current understanding and knowledge gaps”, Fish and Fisheries, Vol. 16/4, pp. 684-696, https://doi.org/10.1111/faf.12087.
[49] Parker, R., I. Vázquez-Rowe and P. Tyedmers (2015), “Fuel performance and carbon footprint of the global purse seine tuna fleet”, Journal of Cleaner Production, Vol. 103, pp. 517-524, https://doi.org/10.1016/j.jclepro.2014.05.017.
[8] Poloczanska, E. et al. (2013), “Global imprint of climate change on marine life”, Nature Climate Change, Vol. 3/10, pp. 919-925, https://doi.org/10.1038/nclimate1958.
[32] Poore, J. and T. Nemecek (2018), “Reducing food’s environmental impacts through producers and consumers”, Science, Vol. 360/6392, pp. 987-992, https://doi.org/10.1126/science.aaq0216.
[45] Sala, E. et al. (2021), “Protecting the global ocean for biodiversity, food and climate”, Nature, Vol. 592/7854, pp. 397-402, https://doi.org/10.1038/s41586-021-03371-z.
[19] Sen Gupta, A. et al. (2020), “Drivers and impacts of the most extreme marine heatwave events”, Scientific Reports, Vol. 10/1, https://doi.org/10.1038/s41598-020-75445-3.
[18] Smith, K. et al. (2021), “Socioeconomic impacts of marine heatwaves: Global issues and opportunities”, Science, Vol. 374/6566, https://doi.org/10.1126/science.abj3593.
[39] STECF (2022), 2022 Annual Economic Report on the EU Fishing Fleet (STECF 22-06), Publications Office of the European Union, https://data.europa.eu/doi/10.2760/120462.
[36] Tyedmers, P. (2004), “Fisheries and energy use”, in Encyclopedia of Energy, Elsevier, https://doi.org/10.1016/b0-12-176480-x/00204-7.
[42] Waldo, S. and A. Paulrud (2016), “Reducing greenhouse gas emissions in fisheries: The case of multiple regulatory instruments in Sweden”, Environmental and Resource Economics, Vol. 68/2, pp. 275-295, https://doi.org/10.1007/s10640-016-0018-2.
[3] WMO (2023), “Air and sea surface temperatures hit new records”, news, https://wmo.int/media/news/air-and-sea-surface-temperatures-hit-new-records.
[41] Ziegler, F. and S. Hornborg (2014), “Stock size matters more than vessel size: The fuel efficiency of Swedish demersal trawl fisheries 2002-2010”, Marine Policy, Vol. 44, pp. 72-81, https://doi.org/10.1016/j.marpol.2013.06.015.
[38] Ziegler, F. et al. (2016), “Expanding the concept of sustainable seafood using life cycle assessment”, Fish and Fisheries, Vol. 17/4, pp. 1073-1093, https://doi.org/10.1111/faf.12159.
Notes
Copy link to Notes← 1. The OECD Secretariat thanks all experts having participated in the workshop and having provided feedback on the background notes that served as a basis for this chapter.
← 2. As fish consumed in the OECD is largely imported, it should be noted that from a consumer and trade perspective, other Ocean areas are also key.
← 3. Defined as change in the geographical distribution of species boundaries from previously known boundaries for any or all of the developmental stages, events and/or seasons.
← 4. Loglio forbesii and Alloteuthis subulata.
← 5. This range shift coincided with increased catch rates and total landings. However, it is difficult to distinguish the effects of increased abundance from changes in fishing effort (Kooij, Engelhard and Righton, 2016[12]).
← 6. The data available through DisMAP show that most species ranges vary over time, and that slow, long-term range shifts have been observed for many species. Currently, most of the range shifts observed by DisMAP are relatively small (NOAA Fisheries, 2023[23]).
← 7. A marine heatwave is typically defined as a period during which the local sea surface temperature exceeds the historic 99th percentile from 1982 to 2016, or a period during which the local surface temperature exceeds the 90th percentile for 5 days or more (IPCC, 2019[1]).
← 8. For example, Gephart et al. (2021[34]) provide a harmonised comparison of fish and chicken, which confirms that many fed aquaculture groups outperform industrial chicken, the most efficient major terrestrial animal-source food. They find that capture fisheries vary widely in their GHG emissions (with some species having a higher GHG emissions intensity than chicken, and some lower; see Figure 4.5).
← 9. The overall nutrition rating can compare positive elements such as vitamins, minerals, proteins and fatty acids against negative elements such as excessive salt and unhealthy fats. Nutrition scores can vary depending on the weightings given to different factors.
← 10. Fuel use has increased on average in global tuna fisheries; however, it is unclear what has driven this overall change. It has likely been affected by changes to fishing methods, distance travelled by fleets, types of vessels and abundance of stocks, but these effects will be different across different fisheries (Parker, Vázquez-Rowe and Tyedmers, 2015[49]).
← 11. An increase in fuel use in trawl fisheries could be due to decreased abundance; however, other factors such as fishing restrictions to protect stocks can also increase fuel use in the short term (Ziegler and Hornborg, 2014[41]).
← 12. This, therefore, does not include emissions from international trade of fish products.
← 13. It is important to note that some of these differences may be attributable to different data collection methods or quality.