Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2026 Aug 10.
Published in final edited form as: Environ Res Food Syst. 2026 Jul 23;3(3):032001. doi: 10.1088/2976-601x/ae854f

Climate-mediated food safety hazards of aquaculture

William D Fairfield 1,5, Nilendra K Nair 1,2,5, Dane Klinger 3, Christopher D Golden 1,2,4,*
PMCID: PMC13449243  NIHMSID: NIHMS2198455  PMID: 42569165

Abstract

Aquaculture has rapidly expanded as a critical source of global food production, contributing significantly to nutrition and livelihoods. However, climate change poses substantial challenges to aquaculture, particularly in terms of food safety. This review synthesizes the literature on the impact of climate-mediated environmental changes on food safety hazards in aquaculture, focusing on biological and chemical contaminants. Rising temperatures, altered salinity, and extreme weather are amplifying the proliferation of pathogens such as Vibrio spp., algal biotoxins, and chemical pollutants like heavy metals and microplastics. These changes jeopardize the safety and sustainability of aquaculture products, especially in climate-vulnerable regions. Our findings highlight the urgent need for adaptive strategies to mitigate these risks, including enhanced monitoring, climate-smart aquaculture practices, and regulatory interventions. By examining the intricate relationship between climate change and food safety, this review calls for a comprehensive approach to safeguard human health and ecosystem resilience, ensuring that aquaculture can meet the demands of a growing global population.

Keywords: aquaculture, climate change, food safety, pathogens, harmful algal blooms (HABs), heavy metals, planetary health

1. Introduction

Aquaculture is a diverse industry encompassing the production of finfish, crustaceans, mollusks, algae, aquatic plants and other organisms (FAO 2022). Globally, per capita consumption of aquatic food has more than doubled, rising from approximately 9.0 kg in 1961 to 20.7 kg in 2022 (Naylor et al 2021, FAO 2024). With a majority of global wild fish stocks fully exploited or depleted due to overfishing, the increasing demand for aquatic food from an expanding, wealthier global population has contributed to a rapid increase in aquaculture production. Between 2001 and 2020, global aquatic animal production increased by 169% to reach 122.6 million tons (Mt) in live weight, comprising 87.5 Mt of aquatic animals and 35.1 Mt of algae and aquatic plants in 2020 (FAO 2022). In 2022, this figure rose to 185 Mt, increasing another 4% from 2020. For the first time in 2022, aquaculture has passed capture fisheries, accounting for 51% of the production of aquatic animals (FAO 2024). Although the rapid proliferation of aquaculture has been touted as a means to alleviate global malnutrition (Golden et al 2021), there exists substantial variability in both the environmental performance and nutritional value of aquatic products.

Aquatic foods, the majority of which are farmed, are an important global food resource. They contribute approximately 20% to the daily animal protein intake of an estimated 3 billion people (Golden et al 2021) and serve as a rich source of income and micronutrients, especially for the world’s poorest populations (Short et al 2021). Seafood consumption is associated with a reduced risk of cardiovascular disease due to its low saturated fat content and abundance of polyunsaturated omega-3 fatty acids (Rimm et al 2018). Despite many nutritional benefits, aquatic foods also pose potential risks to human health. Aquatic foods are susceptible to contamination by biological agents, including naturally occurring pathogens such as various species of bacteria and viruses, as well as to the accumulation of heavy metals and agrochemical residues from pollution and anthropogenic activity (Buzina et al 1989, Anater et al 2016, Stentiford et al 2022).

Environmental factors such as precipitation, water temperature, salinity, and pH serve as drivers of water and foodborne contamination and illnesses. While these factors are not the direct source of contamination, they permit contamination to occur in greater quantities and in new regions, furthering food safety risk. Anthropogenic climate change impacts these factors, thereby posing a threat to both the growth of aquaculture and the safety of its products (Schiedek et al 2007). This threat to the sustainability, growth, and safety of aquaculture and seafood is particularly concerning for countries located in climate-vulnerable regions, including top-producing countries such as China, India, Indonesia, and Vietnam, which account for 36%, 8%, 7%, 5% of global aquaculture production, respectively (FAO 2024). There are many primary studies on the implications of climate change on the food safety risks of aquatic products. However, there is a lack of synthesis of this information to show larger trends that may affect the future of aquaculture.

In this review, we present a synthesis of the published research on how climate change and industrialization might alter the risks associated with the seafood safety of aquaculture products. Our findings underscore the intricate interplay among contaminants, climate change dynamics, and their repercussions on seafood safety, emphasizing the urgent need for mitigation strategies and vigilance in monitoring to safeguard both human health and aquatic ecosystems.

2. Methods

2.1. Literature search and screening

The methodology for this review included five key components: (1) identifying the research question, (2) parsimonious selection of keywords and descriptors to guide the literature review, (3) identifying relevant studies, (4) quality control and screening, and (5) collating and summarizing the results.

The initial retrospective search was implemented in August 2020 in the Web of Science (WoS) electronic database using key descriptors (supplementary information—S1). The search was structured around key ‘Title’ and ‘Descriptors’ to identify the corpus of relevant scientific literature. The WoS also included the world-renowned CAB Abstracts database search for relevant abstracts that had been tagged with the pre-selected descriptor keywords (supplementary information—S1). We also searched MEDLINE/PubMed and SciVerse Scopus (Elsevier) to identify any gray literature and hand-searched the references of pertinent primary studies for relevant publications.

The search criteria were constrained to primary articles published in English between 2000 and 2020, excluding duplicates, review articles, publications primarily about aquaculture feed contamination, veterinary articles regarding the health and disease of aquatic animals, articles providing experimental technological methods, articles published in dubious journals, and articles that reported on aquatic food products that are exclusively wild-caught. While review articles were excluded, we scanned their reference lists for relevant primary articles that met our inclusion criteria and may have been missed by our initial search. Follow-up searches were conducted in the WoS database in August 2021 and August 2025 to identify any additional publications after the initial search. A search of MEDLINE/PubMed and SciVerse Scopus was also conducted at this time, and the first 100 publications were screened for additional gray literature such as government, non-profit, and industry publications.

A total of 5070 publications were identified: 4868 through the WoS search in the CABI database, with an additional 202 identified through a hand search of gray literature (figure 1). A two-stage screening process was employed to assess the relevance of the identified publications. Initially, duplicates were removed, and then only the titles and abstracts were screened based on the minimum inclusion and exclusion criteria to prevent the waste of resources in procuring irrelevant publications. Following the initial screening, 918 full-text articles were then assessed for eligibility, and a grand total of 376 studies were included in the qualitative synthesis in this review.

Figure 1.

Figure 1.

Systematic literature review screening process. Identification and filtering of included records.

2.2. Data standardization, aquaculture-relevant species screening, and descriptive analysis

Species and taxon names reported in the included publications were extracted and standardized at the most specific taxonomic level possible using a multi-step cleaning and validation process. Reported names were normalized for formatting, abbreviated genus names were expanded where sufficient context existed, and apparent typographical errors, synonyms, or outdated scientific names were corrected using accepted nomenclature. When only a scientific name was reported, the corresponding common name was added. When only a broad common name was reported and species-level identification was unavailable, the entry was retained at the reported level, such as ‘Common Name (no species specified),’ rather than assigned to a presumed species. Standardized names were cross-referenced using taxonomic resources including FishBase, SeaLifeBase, and the World Register of Marine Species. Ambiguous, genus-only, or higher-level entries were retained as reported rather than over-resolved.

To support an aquaculture-focused species summary, standardized taxa were screened for aquaculture relevance. Species or commodity groups known to be primarily wild-caught and not commonly produced in aquaculture were excluded from the aquaculture-focused species and commodity-group analyses. For commodity groups that included both farmed and wild-caught species, including taxa initially retained in broader residual categories, we conducted an additional species-level review to identify taxa judged to be primarily wild-caught. These taxa were also excluded from the aquaculture-focused analysis. See supplementary information (S1), for the search terms used to filter out these records.

After the exclusion of primarily wild-caught taxa, in remaining records that were mixed or uncertain with respect to production method, the source publication was reviewed to determine whether the sampled product was identified as farmed, wild-caught, mixed, or not specified. Taxa known to occur in both farmed and wild-caught production systems were retained when the production method was identified as farmed, mixed, or not specified, but excluded when the source study identified them as wild-caught. For taxa whose aquaculture relevance remained uncertain, records were retained only when the source study supported aquaculture relevance, such as identifying the sample as farmed, cultured, or collected from aquaculture ponds, farms, cages, hatcheries, or mariculture sites. Uncertain taxa were excluded when production method was not specified and aquaculture relevance could not be confidently determined.

Remaining standardized taxa were retained for the aquaculture-focused analysis and were grouped into common aquatic food commodity categories for descriptive reporting. Commodity groups were defined pragmatically based on common seafood market names, recognizable food-system categories, taxonomic proximity where useful, and recurring high-frequency groups in the dataset. Terms used for allocation into commodity groups and for wild-caught exclusion are provided in supplementary information (S1).

For analysis, duplicate species entries within the same study were removed so that each study-species combination contributed only once. Descriptive summaries were generated for standardized species, commodity groups, contaminant categories, climate-related hazards, bacterial genera, and geographic region. Additional cross-tabulated summaries were produced to examine relationships among these categories, including interactions between contaminants, climate-related hazards, geography, and commodity groups. Analyses were conducted in R statistical software (R Core Team 2025), and a GitHub link to the complete set of summary tables and analysis script is provided in the supplementary information.

3. Results

Through our literature review and screening process, we identified 376 studies to include in this synthesis (see Methods). These studies, ranging from 2020–2025, incorporate analyses of samples from 64 countries and 8 bodies of water. The countries most frequently represented are China (75 studies), India (37), Spain (21), Italy (20) and South Korea (13). A full geographic summary can be found in supplementary data file (S2). Our review of the eligible and selected literature revealed two main categories of food risk related to both seafood safety and climate change: biological and chemical contaminants. The major biological contaminants include aquatic biotoxins (17 studies), and pathogens (137) which include bacteria, viruses, and parasites. The main chemical contaminants, originating from both human activities and natural sources, include heavy metals (104), persistent organic pollutants (POPs) (90), microplastics (30), and antimicrobials (9). In this synthesis, we have compiled the current understanding of the origins of these contaminants, their implications for human health, and their potential interactions with environmental factors amidst a changing climate (figure 2).

Figure 2.

Figure 2.

Climate change factors influence specific categories of food safety risk. This figure displays the susceptibility of environmental determinants of seafood safety to climate change and the categories of food safety risk we focused on in this review. The size of the circle corresponds to the frequency of interactions between the climate change factor and food safety risk. Additionally, the number of studies citing the interaction is included below the food safety risk. Pathogens refer to bacterial, viral, and parasitic agents.

3.1. Commodity group coverage

After cleaning and analyzing, the dataset included 1395 study-species occurrences representing 417 unique standardized taxa. Species-level frequencies were first calculated using standardized taxon names, with each species counted only once per study. Standardized species and frequencies can be found in the supplementary data (S2). The most frequently represented commodity groups were Clam/Cockle, Seabass/Sea Bream, Mussel, Cyprinids (Carp/Minnows), and Oyster appearing 242, 157, 125, 103, and 99 times across the review (table 1). Additional species-specific information can be found in the supplementary data (S2).

Table 1.

Commodity group representation across all studies.

Commodity group Total occurrences Unique standardized species
Clam/Cockle 242 80
Seabass/Sea Bream 157 39
Mussel 125 15
Cyprinids (Carp/Minnows) 103 26
Oyster 99 22
Salmon 94 12
Catfish 60 26
Scallop 58 18
Shrimp/Prawn 57 5
Mullet 49 15
Whelk/Abalone/Other Gastropods 48 25
Tilapia 46 10
Crab 43 12
Lobster/Crayfish 28 10
Perch/Sunfish 21 11
Seaweed/Algae 21 19
Sea cucumber/Urchin 16 10
Snakehead 13 6
Croaker/Drum 10 4
Jack/Scad 9 3
Cod 8 1
Flatfish 8 3
Trout 8 2
Pomfret 7 3
Snapper 7 3
Eel 6 3
Other or not otherwise grouped aquatic foods 52 34

3.2. Biological contaminants and seafood safety in a changing climate

Biological contaminants in seafood are naturally occurring pathogenic microorganisms capable of causing illness when consumed in contaminated seafood products. Contamination by biological agents can be attributed to biotoxins produced by harmful algal blooms (HABs), along with the infection and contamination of seafood by naturally occurring microbial, viral, and parasitic agents. The sections below examine the risks associated with consuming aquaculture products contaminated by these biological elements and explore the interactions between these pathogens and climate change factors.

3.2.1. Biotoxins

Out of 17 studies in our review that reported biotoxin contamination of aquatic food products, 4 reported links to human health risk. Biotoxins were co-reported along with multiple climate change factors, namely water pollution (5 studies), temperature (4), salinity (2), and acidification (1).

Aquatic biotoxins pose a significant threat to aquaculture and seafood safety. HABs involve the proliferation of toxic phytoplankton (e.g. diatoms and dinoflagellates) that produce phycotoxins (e.g. ciguatoxins) and cyanobacteria/blue-green algae which produce cyanotoxins (e.g. saxitoxins or lyngbyatoxin-a) in both freshwater and marine environments (Tamele et al 2019). These biotoxins, originating from microalgae, accumulate in shellfish and filter-feeding fish, subsequently transferring to organisms higher in the food chain (Mulvenna et al 2012). These HAB toxins are responsible for illnesses such as Ciguatera fish poisoning (caused by ciguatoxin), which is the most common seafood-related illness associated with HABs, although it remains rare in farmed fish (Grattan et al 2016). Other associated illnesses include various types of shellfish poisoning (e.g. paralytic, amnesic, azaspiracid, neurotoxic, and diarrhetic). Common acute symptoms resulting from the ingestion of seafood contaminated by biotoxins include nausea, vomiting, diarrhea, numbing or tingling of the mouth, face, and neck, short-term memory deficits, and gastroenteritis in humans (Glibert et al 2005).

HABs are a naturally occurring phenomenon. Nevertheless, the increased frequency, extended duration, and expanded geographical range of these blooms have largely been attributed to increased anthropogenic activities. Factors contributing to these increases include anthropogenic climate change and runoff from urban and agricultural areas, which contribute to nutrient enrichment and eutrophication (Glibert et al 2005) (table 2). Climate change has led to rises in temperature, increased nutrient loads, and a re-distribution of nutrient sources and sinks that lead to HAB proliferation (Glibert et al 2005) (table 2). In recent years, increasing amounts of evidence point toward how climate change may influence toxin production. Salinity (Osburn et al 2023, Shi et al 2024) and temperature (Farrell et al 2015, Liu et al 2025) both affect the metabolism of harmful algae.

Table 2.

Interactions of biological and chemical contaminants with climate change factors and aquaculture species affected.

Food safety risk (contaminant) Interaction with climate change factor Aquaculture species affected
Aquatic biotoxins (e.g. HABs, PSPs)
  1. Temperature—affects the growth rate of certain species (Glibert et al 2014, Gobler et al 2017, Griffith and Gobler 2016). Increasing temperature affects dissolved oxygen content, leading to hypoxia (Vaquer-Sunyer and Duarte 2011).

  2. Hypoxia—Hypoxia is also affected by eutrophication (Roman et al 2019, Wallace et al 2014).

  3. Extreme weather events—(run-off from adverse weather events)—increases nutrients (Bonilla et al 2023) in water column for HABs proliferation (Anderson 2012, Granéli and Turner 2006, O’Neil et al 2012). Under hypoxic conditions induced by HABs, causes increased microbial respiration, which leads to acidification (Hallegraeff and Bolch 2016).

  4. Acidification—due to increased CO2 production by microbial activity. It can also be enhanced by eutrophication (Byrne and Przeslawski 2013, Cai et al 2011, Tatters et al 2013, Wallace et al 2014).

Bacteria
  1. Temperature—affects growth and proliferation of pathogenic bacteria

  2. Salinity—affects proliferation dynamics of pathogenic bacteria.

  3. Acidification—affects vibrio spp. hosts. Lowering pH may also affect cutaneous bacteria more than enteric species (Sylvain et al 2016).

Finfish:Shellfish:
Parasites and viruses
  1. Temperature—affects the host’s immune response to viral infection (Groves et al 2023)

  2. Salinity—affects the survival and virality of certain viruses. Lower salinity (Garver and Hawley n.d., Tobback et al 2007) favors higher virality in some viruses (remain infectious longer) while higher salinity (Graham et al 2007) might increase the survival of other viruses.

  3. Extreme weather events—increased rainfall and consequent run-off may affect the increased survival and pathogen density (Coffey et al 2019; Colston et al 2022; Tornevi et al 2014).

Organic contaminants (e.g. POPs, pesticides, PAHs)
  1. Temperature and extreme weather events—affects global distillation

  2. Salinity—affects organisms’ ability to regulate toxicity (Noyes et al 2009)

  3. UV and precipitation—affects volatilization of POPs (Noyes et al 2009).

Antimicrobials (e.g. antibiotics, antifungals)
  1. Precipitation and extreme weather events—hydrological events and land runoff increase aquatic antibiotic loading (Gomes 2024)

  2. Temperature—higher temperatures exacerbate effects of antibiotics and promote antibiotic resistant genes (Zhao et al 2024)

  3. Salinity—salinity gradients change antibiotic distribution, microbial community composition, and ARG prevalence (Ohore et al 2022)

Heavy metals
  1. Temperature—increased water temperature enhances the toxicity of certain metals (Pfeifer et al 2005; Sokolova and Lannig 2008).

  2. Acidification—increased accumulation of certain heavy metals in culture species (Shi et al 2016).

  3. Extreme weather events—drought increases metal concentration in fish (Azevedo et al 2018), while increased precipitation coupled with run-off may increase the concentration of heavy metal contaminants in the aquatic environment (Lee et al 2023).

Microplastics
  1. Temperature, acidification, and UV—increased concentration of microplastics from increased degradation of plastic pollutants under higher UV and temperature stress (Issac and Kandasubramanian 2021).

3.2.2. Bacteria

Pathogen contamination of aquatic food products, including bacteria, viruses, and parasites, was reported 137 studies in our review. 33 studies reported links to human health risk while co-reports along with climate change factors include temperature (23 studies), water pollution (18), salinity (9), extreme weather (4), and acidification (2).

Contamination of aquaculture by microbial pathogens such as bacteria, viruses, and parasites can pose a pathogenic risk to humans when consuming aquatic food products. Bacterial pathogens can be categorized either as those that are naturally occurring in the aquaculture environment (e.g. members of the Vibrio spp) (Bonnin-Jusserand et al 2019) or as those introduced into the environment, usually through fecal contamination (e.g. E. coli, Salmonella spp.) (Amagliani et al 2012). 122 out of 376 studies included in this review reported bacterial contamination of aquatic food products. Of these, 57 studies reported members of the Vibrio genus as a specific risk factor. We also found notable accounts of Escherichia, Salmonella, Staphylococcus, and Listeria genera which are reported in 21, 20, 18, and 14 studies respectively. Summary of all bacterial genera can be found in the supplementary data (S2).

Outbreaks and infections caused by members of the Vibrio genus (V. cholerae, V. vulnificus, and V. parahaemolyticus) are among the most common and extensively studied foodborne infections, with symptoms ranging from gastroenteritis to more serious neurological and renal syndromes (Strom and Paranjpye 2000). Foodborne infection from Vibrio spp. rose from 0.7 cases per 100 000 people in 2016–2018 to 1.1 cases per 100 000 in 2023 (Shah et al 2024). While it is difficult to determine how many of these cases result from eating farmed organisms, this increasing trend and the rising contribution of aquaculture to global seafood consumption necessitates that vigilance is maintained toward Vibrio spp. outbreaks in aquaculture. Additionally, aquaculture is characterized as a hotbed for gene transfer (Watts et al 2017). With increasing incidence of antibiotic resistant genes (ARGs) in Vibrio spp., and their transfer to seafood (Dong et al 2025), it is important to understand Vibrio spp. and associated ARG dynamics in aquaculture contexts.

The ecology of Vibrio spp. is predominantly associated with coastal estuarine and marine environments, where proliferation dynamics are mainly influenced by seawater temperature and salinity levels (Randa et al 2004). Members of this pathogenic family generally thrive within temperatures ranging from 16 °C–33 °C and a salinity level of 5–20 ppt (Wetz et al 2014). The pathogen’s optimal habitat is defined by the salinity levels, while the temperature regulates its growth and abundance within these optimal habitats. Reports suggest that climate change has significantly increased the occurrence of Vibrio worldwide, with the pathogen being detected in unusual or previously rare areas (Baker-Austin et al 2010). Rise in temperature, along with a decrease in coastal water salinity, provides optimal environmental conditions for the growth and proliferation of Vibrio (table 2). Further climate changes are likely to lead to the proliferation of Vibrio beyond its usual geographical range (Sampaio et al 2022).

3.2.3. Viruses and parasites

Like bacterial agents, viruses and parasites are found in both farmed fish and seafood products, presenting potential health risks to consumers and leading to various foodborne illnesses and infections. Viral diseases pose a significant concern in aquaculture due to their capacity to cause mass mortalities and result in substantial economic losses. Among the most well-known viruses affecting farmed fish is the infectious salmon anemia virus (Nylund et al 2019), viral nervous necrosis virus in marine fish, and the infectious pancreatic necrosis virus found in both marine and freshwater fish species (Wallace et al 2008, Yang et al 2022). There are other viruses that can infect humans, leading to morbidity and mortality. For instance, consuming raw or undercooked shellfish can lead to norovirus and Hepatitis A (Jothikumar et al 2005). Infections caused by nematodes, trematodes, and cestodes are also caused by the consumption of raw or undercooked seafood. Anisakiasis, a parasitic infection caused by nematodes or roundworms of the Anisakis genus, arises from the consumption of infected aquatic food products and can result in invasion of the stomach wall and intestines.

Climate change is significantly impacting aquaculture and seafood products by influencing the distribution and prevalence of viruses and parasites. Rising temperatures and changing environmental conditions are altering disease patterns, enhancing viral replication, and disrupting the life cycles of parasites. Elevated water temperatures due to climate change can lead to the emergence and spread of new and more virulent pathogens in aquaculture and seafood products (Lafferty et al 2015). Additionally, shifting ocean currents influence the prevalence and distribution of viruses and parasites in aquaculture settings (table 2). Warmer waters can accelerate the replication rates of certain viruses and parasites, thereby escalating disease transmission and fostering outbreaks (Lafferty et al 2015) (table 2). Moreover, certain pathogens may expand their range to new areas, affecting aquaculture facilities previously not exposed to such risks.

3.3. Chemical contaminants and seafood safety and the impact of climate change

A second major threat to seafood safety is posed by chemical contaminants present in the aquaculture environment. These contaminants consist of both organic and inorganic pollutants predominantly originating from anthropogenic activities over the past century. These include POPs, toxic metals, synthetic organic chemicals, and industrial pollutants. Here, we outline the evidence concerning the risks to seafood safety posed by chemical contaminants as well as the influence of climate change on the exposure risk to these pollutants in relation to aquaculture production and human health.

3.3.1. Persistent Organic Pollutants (POPs)

POP contamination of aquatic food products was reported 90 studies in our review. 31 of these reported links to human health risk and co-reports along with climate change factors include water pollution (24 studies), extreme weather (5), temperature (3), salinity (2), and acidification (1).

POPs constitute a broad class of halogenated, stable organic compounds that are resistant to environmental degradation. These compounds exhibit low decay rates and demonstrate resistance to photolytic and biological breakdown in aquatic environments, leading to increased concentrations of POPs and a higher potential for bioaccumulation (Latimer and Zheng 2003). Although some POPs can be attributed to natural sources, many of these contaminants arise from increased anthropogenic activities, entering aquatic environments through atmospheric deposition, discharge of industrial chemical waste and effluents into water sources, and pesticide runoff (Latimer and Zheng 2003, Guo et al 2019). POPs can lead to endocrine disruption, affecting normal hormone homeostasis and leading to cancer and other adverse health effects in both mammals and humans (Guo et al 2019).

Climate change factors such as increased temperatures and intensified storms and winds impact an important geochemical process called global distillation (Sadler and Connell 2012). This phenomenon, also known as the grasshopper effect, causes the transfer of POPs from warmer regions to cooler parts of the earth (Sadler and Connell 2012). In fact, despite the limited use of these compounds in polar regions such as the Arctic and the Antarctic, these areas bear a higher burden of POP exposure (de Wit et al 2022). Additionally, rising temperatures, ultraviolet (UV) radiation, and increased precipitation contribute to the enhanced volatilization of POPs from primary emission sources and the re-volatilization of these substances deposited in soil and sea-ice (de Wit et al 2022), increasing both the bioavailability and toxicity of these compounds to aquatic organisms (Noyes et al 2009) (table 2). The rise in salinity has the potential to affect either the contaminants themselves or the physiology of aquatic organisms and their ability to regulate toxicity (Noyes et al 2009).

3.3.2. Antimicrobial agents

Antimicrobial contamination of aquatic food products, which includes pollution from drugs used in the aquaculture environment, was reported 9 studies in our review. Only one of these reported links to human health risk while the co-reports along with climate change factors include water pollution (2 studies) and temperature (1).

The increase in bacterial pathogens due to the intensification of aquaculture practices has led to a surge in antimicrobial usage (Ibrahim et al 2020). Antimicrobial agents are usually introduced prophylactically to prevent infections, therapeutically to manage infectious outbreaks, or metaphylactically to promote growth of cultured animals (Schar et al 2020). In a recent evaluation of global trends in antimicrobial usage for humans, terrestrial food-producing animals, and aquaculture, Schar et al estimated a global antimicrobial consumption in the aquaculture industry of approximately 10 259 tons in 2017 with a projected increase of approximately 33% by 2030, reaching about 13 600 tons (Schar et al 2020). Although this future projection of antimicrobial use for aquatic food-producing animals would account for only 5.7% of the overall global consumption of medically important antimicrobials, its application in aquaculture carries the highest intensity per kilogram of biomass, approximately 164.6 mg kg−1 (Schar et al 2020). The diverse applications of antimicrobial agents have led to an increase in pharmaceutical contaminants in the aquatic environment, potentially contributing to the surge in antimicrobial resistance among bacterial strains in the water column, sediment, and cultured species (Cabello 2006, Cabello et al 2016, Okocha et al 2018).

Higher temperatures are known to induce stress and compromise the immune system of many aquatic species, rendering them susceptible to infection and leading to increased rates of mortality (Ashrafi et al 2018). As temperatures rise and other climatic and environmental factors shift, emerging infectious diseases are forecasted to increase due to increased pathogen growth and virulence (Cabello et al 2016, Ashrafi et al 2018) (table 2). In 2017, countries in the Asia-Pacific region, mainly China, India, Indonesia, and Vietnam, were the highest consumers of antimicrobials, concurrently holding the largest share of aquatic products (excluding mollusks) (Ibrahim et al 2020).

3.3.3. Heavy metals

Heavy metal contamination was represented substantially in our review with 104 studies reporting it. 36 of these reported links to human health risk, and co-reports along with climate change factors include water pollution (27 studies), salinity (5), temperature (4), extreme weather (1), and acidification (1).

Metals naturally occur in the environment due to processes such as weathering of rocks and volcanic eruptions (Bradl 2005). These metals are categorized as essential, non-essential, or toxic in relation to human health. Essential metals such as copper, iron, selenium, and zinc play crucial roles in metabolism, whereas toxic heavy metals such as lead, mercury, and arsenic can pose harmful effects on human health beyond certain thresholds (Mertz 2009). The ecotoxicology of heavy metals is a significant concern due to their non-biodegradable nature, ability to bioaccumulate, and inherent toxicity at high concentrations (Bradl 2005).

The presence and concentration of heavy metals in aquatic ecosystems, and consequent exposure to aquaculture species, are exacerbated by anthropogenic activities such as industrial pollution, agricultural intensification, and waste disposal (Bradl 2005). Aquaculture species are typically exposed to toxic heavy metals through contaminated feeds, metal reservoirs in aquatic sediment, and aquatic ecosystems. These metals eventually assimilate into the organism and, when the concentration of heavy metals surpasses the tolerable thresholds, they pose a serious risk to both aquatic and human health.

Climate-related variables have been reported to affect the transport, deposition, and transfer of metal contaminants in the marine environment (Iordache et al 2022). The bioavailability of metals is greatly affected by environmental levels, where reduced or lower salinity levels have been shown to increase metal uptake by crustaceans and mollusks. Higher temperatures were noted to increase metabolism and subsequent uptake of metal contaminants (Wijngaard et al 2017) (table 2). Broad investigations into the interactions between various abiotic environment factors and metals have highlighted the increased toxicity with rising temperatures (Heugens et al 2001). Additionally, changes in precipitation patterns, resulting in intense and frequent rainfall, are predicted to increase the runoff of heavy metals from soil, agricultural land, or landfills into water ecosystems. In parallel, adverse weather events, such as prolonged droughts, have also been observed to influence the bioaccumulation of metals in aquatic organisms (Wijngaard et al 2017), leading to upwards of 20% increases in the muscle tissue concentration of methylmercury under drought conditions compared to the previous year under normal conditions (Azevedo et al 2018) (table 2).

There is a paucity of literature that has adequately determined the bioavailability and potential toxicity resulting from consumption of metal-contaminated aquatic foods. Investigators have indicated that, on average, moderate to recommended intakes of seafood may not pose a concern; however, the potential adverse health risks for frequent consumers cannot be discounted (Djedjibegovic et al 2020). Documented cases of metal poisoning resulting from overconsumption of seafood products, such as methylmercury poisoning due to excessive consumption of tuna (Ahn et al 2018), have been reported. Shellfish have been well studied for their ability to bioaccumulate metals such as arsenic and cadmium (Olmedo et al 2013). Symptoms of acute metal ingestion usually include diarrhea, fatigue, nausea, vomiting, abdominal pain, confusion, and hallucinations, with neurotoxicity and carcinogenesis as extreme possibilities (Barchiesi et al 2020).

3.3.4. Microplastics

Microplastic contamination of aquatic food products was reported in 30 studies. Five of these reported links to human health risk, and co-reports along with climate change factors only included water pollution which was reported in 12 studies.

Microplastics have achieved an unprecedented ubiquity in our biophysical environment since their upscaled production in the early 1960s (Thompson et al 2004). The sources of microplastics are distinguished as being either primary or secondary in nature, depending on the scale at which they were manufactured. Primary microplastics usually originate from industrial cleaning products, the production of which has been banned in the US, EU, and Canada (Koehler et al 2015). In contrast, secondary microplastics result from the fragmentation and degradation of plastic litter by abiotic climate factors such as sunlight (UV), temperature, pH, and weathering by wave action (Koehler et al 2015). The degradation of whole plastics into micro- and nano-plastics releases endogenous chemical additives that were included as part of the plastics’ manufacturing process. The hydrophobic surface of microplastics is highly amenable to adsorbing and concentrating organic contaminants (especially POPs), as well as heavy metals (Rochman et al 2014), making them vectors for these pollutants, which are known to have adverse health effects (Vanden Bilcke 2002).

For both marine and freshwater aquaculture systems, microplastics are ubiquitous in almost every stage of the seafood farming process (Chen et al 2018). The development of mariculture and the use of mostly plastic fishing and farming gear increase the availability and consequent accumulation of offshore microplastics that are readily consumed by biota. These microplastics often transfer and accumulate through various trophic levels (through the food chain), across taxa (Setälä et al 2014). Additionally, microplastics are found in all levels of the water column to include surface water, subsurface water, and sediments (Jolaosho et al 2025). The presence of microplastics in nearly all areas of aquatic organisms’ habitat further increase its exposure beyond that encountered from the use of plastic fishing and farming gear. In lab-based studies mimicking coastal ecosystems, investigators demonstrated that microplastics were ingested by all the organisms they tested, with shellfish having the highest concentrations (Setälä et al 2014, 2016).

The relationship between climate change and microplastics is both dynamic and reciprocal. While climatic factors such as increased temperature, pH, weathering, and UV radiation intensity lead to further breakdown of microplastics, studies have also demonstrated that microplastics are exacerbating climate change by emitting greenhouse gases when exposed to solar radiation (Ford et al 2022) (table 2). Additionally, microplastics are affecting the marine carbon cycle and oceanic greenhouse gas sequestration by affecting the ability of microalgae and zooplankton to photosynthesize and capture CO2 at the ocean’s surface (Shen et al 2020).

While plastics are considered to be essentially inert substances, posing little to no spontaneous chemical reactivity, upon ingestion in appreciable amounts, they affect important biological pathways that can cause system-wide issues, ranging from chronic inflammation and oxidative stress to genotoxicity, apoptosis, and carcinogenesis (Vethaak and Legler 2021). This emphasizes the potential risk of chronic exposure and consistent consumption of seafood could have on human health.

4. Climate change and aquaculture production

Climate change has become a pressing global issue with far-reaching consequences in the aquaculture sector (figure 3). Long-term alterations in temperature, precipitation patterns, and extreme weather events can have a profound impact on aquatic environments, affecting water quality, habitat suitability, and the overall productivity of aquaculture systems. Rising temperatures can lead to changes in water chemistry, including increased acidity and decreased oxygen levels, adversely affecting the health and growth of aquatic organisms (Mugwanya et al 2022). In addition, alterations in precipitation patterns can result in changes in water availability and salinity levels, further impacting the viability of aquaculture operations. Extreme weather events, such as storms and hurricanes, can cause physical damage to aquaculture infrastructure, disrupt production cycles, and lead to the loss of valuable stock (Zolnikov 2019).

Figure 3.

Figure 3.

Positive and negative implications of climate-dependent environmental factors on aquaculture.

Alterations in temperature, salinity, acidification, and nutrient availability in aquatic environments also have the potential to affect the quality and safety of seafood. Variations in salinity levels resulting from climate change can influence the growth and survival of HABs, which produce toxins that can accumulate in seafood. Increased ocean acidification (OA) from high atmospheric CO2 also has widespread negative implications for aquatic organisms (Kroeker et al 2010). Bivalves, in particular, experience extreme impacts from OA on their survival, development, feeding rates, and calcification (Hu et al 2026). Furthermore, changes in nutrient availability may affect the composition of aquatic food webs, potentially leading to the bioaccumulation of contaminants in seafood, including in fishmeal and fish oil used in aquafeeds. These climate-induced changes pose significant challenges for aquaculture practices, jeopardizing the sustainability and resilience of the industry.

While climate change poses significant challenges to various sectors, it may bring about some positive impacts on aquaculture, offering opportunities for growth. Some investigations have spurred surprising results on potentially beneficial implications of climate change on aquaculture production (figure 3). One of these positive impacts is that increased water temperature can lead to enhanced growth rates in aquatic organisms. Warmer water temperatures can accelerate the metabolic rate of fish, resulting in faster growth and development as production is currently occurring in sub-optimal temperatures; however, production will slow after optimal temperatures are exceeded with climate change (Klinger et al 2017). This is particularly beneficial for aquaculture, as it allows for increased production and higher yields. Additionally, this study highlights that increased water temperature can also lead to improved feed conversion efficiency, as fish are able to utilize their food more effectively. This can contribute to reducing the overall environmental impact of aquaculture operations. Therefore, the positive impact of increased water temperature on growth rates in aquaculture holds great potential for meeting the increasing global demand for seafood in a sustainable and efficient manner (Besson et al 2016). Additionally, the expanded distribution of species and enhanced growth and productivity offer opportunities for the aquaculture industry to adapt and thrive in a changing environment. However, to harness these benefits sustainably, aquaculture stakeholders must prioritize the adoption of climate-resilient and environmentally friendly practices. By embracing these strategies, aquaculture can continue to contribute significantly to global food security and economic prosperity in the face of ongoing climate challenges.

However, it is crucial to acknowledge that these positive impacts should not overshadow the urgent need to address the more significant overall negative effects of climate change on the sector. Marine heatwaves and increasing temperatures have devastating effects on organism survival and ecosystem stability. Climate change also alters salinity and increases OA, both of which stress aquatic species and reduce growth and survival rates (Marium et al 2023). It also intensifies extreme weather events and promotes disease outbreaks and HABs that damage farms and stock. As a result, productivity, food security, and the livelihoods of communities that depend on aquaculture are increasingly at risk (Islam et al 2022).

5. Discussion

While the positive impacts of climate change on aquaculture present opportunities for growth and increasingly efficient productivity, it is crucial to acknowledge and address potential challenges that may arise with climate change. These challenges will likely lead to adaptations in techniques for culturing. And, as aquaculture practices evolve in response to climate change, existing food safety regulations will need updating. Enhanced monitoring ensures that new practices are compliant with safety standards and that any emerging risks are detected and managed effectively. Producers must adopt climate-smart aquaculture practices to ensure long-term benefits while mitigating negative consequences on the environment and consumers.

A formal risk assessment for each food safety issue under climate change would require two key components—1) detailed knowledge of the baseline risk and 2) science-based estimates of how the likelihood and severity of the risk might change with expected climate change and anthropogenic development (Karunasagar 2008). Unfortunately, a lack of robust data in the aquaculture sector has inhibited a detailed characterization of baseline risk for most food safety issues in aquaculture species, production systems, and geographies (Sapkota et al 2008). Despite a dearth of information on these issues, generic risk mitigation and adaptation strategies are available at the farm level, sector level, and regulatory level.

5.1. Farm level interventions

Farms can mitigate food safety risks by transitioning between production methods and species. By switching from open to closed production systems (e.g. from cages in open water systems to recirculating tanks on land), farms can reduce exposure to changing ambient environments and increased levels of pathogens and contaminants (Lawson 1995). Differences between the two main closed production systems, recirculating aquaculture systems (RAS) and flow-through systems (FTS), should also be considered. Compared with FTS, RAS has been shown to increase heavy metal accumulation in trout and associated consumption health risk (Barszcz and Sidoruk 2024). In addition to production method, farms can switch between species, including between fed and unfed species. Despite these options, structural changes to farms or changing species often require substantial investment and may be cost prohibitive (Leung et al 2007, Engle 2010).

Setting up effective HAB monitoring and early warning systems involves a multi-tiered approach to detect and respond to algal blooms promptly. First, deploying a network of monitoring stations equipped with sensors that measure key indicators such as chlorophyll-a levels, nutrient concentrations, and water temperature helps in real-time detection of conditions conducive to HAB formation (Seltenrich 2014, Moron-Lopez et al 2021). Complementing sensor data with regular sampling and analysis of water samples for the presence of specific algal species and toxins provides additional confirmation of HAB events. Additionally, integrating satellite remote sensing technology can enhance spatial coverage, offering broader and more frequent monitoring of algal blooms across larger areas (Zahir et al 2024). By establishing a centralized data management system and combining real-time monitoring, advanced remote sensing, and effective communication strategies, these systems can provide timely warnings and enable prompt response actions to mitigate the impact of HABs on aquaculture and public health.

Contaminant type, exposure pathway, and impact vary substantially by region, production environment, and aquatic food species. Farms may face different risks depending on local industrial or agricultural activity, wastewater management, contaminant patterns, and available monitoring systems. Accordingly, adaptive responses such as changing production sites, modifying production methods, shifting harvest timing, or transitioning to different species should be guided by regionally relevant contaminant data where available. An adaptation strategy that reduces exposure in one setting may not be appropriate or effective in another. Additionally, there are key differences in contaminant risk for aquaculture and wild-caught operations. This includes risks associated with heavy metals (Casanova-Martínez et al 2025), POPs (Foran et al 2005), and pathogens (Sharma et al 2021). Therefore, it is important for farmers to have a critical lens when reviewing literature to inform their decision making.

5.2. Sector level interventions

At the sectoral level, producers and supply chain companies can mitigate food safety risks by investing in and developing monitoring and management tools and protocols that benefit a majority of producers. This can include trade associations, industry groups, and pre-competitive platforms that coordinate between producers and with supply chain companies to address common food safety risks (Blasiak et al 2021). Strategies can include development of monitoring tools for rapid detection of pathogens and contaminants (Bavisetty et al 2018), and development of management platforms and protocols for effectively addressing food safety risks when they are detected. These can include development of best management practices, employee training regimens, and third-party certifications. Importantly, all of these innovations result in additional production costs, meaning food safety risk management would result in reduced profitability or increase prices borne on consumers. In general, when risk mitigation approaches are applied and enforced at the producer level, they reduce requirements for end-product testing (Boison and Turnipseed 2015), which can be disproportionately expensive and ineffective.

5.3. Regulatory level interventions

Food safety is often an important policy goal for national and regional aquaculture regulations (Naylor et al 2023). And, these regulations often occur at three levels: the source of the potential contaminant or pathogen, the site of production, and the point of processing, packaging, or marketing (Hammoudi et al 2009). Regulating sources of contaminants in aquaculture systems, especially in the context of climate change, involves a multifaceted approach. Implementing best management practices in agriculture, such as buffer zones and controlled use of fertilizers (e.g. precision agriculture), can help mitigate risk of runoff and eutrophication that can lead to HABs. Additionally, regular water quality testing for pathogens, heavy metals, and pollutants should be conducted to detect and address contamination early (Sapkota et al 2008). Enhancing biosecurity measures within aquaculture facilities—such as improved filtration systems and disease-resistant stock—can also reduce the risk of disease and pathogen introduction. This comprehensive approach helps safeguard the health of aquaculture systems and the safety of seafood products.

Marine spatial planning can significantly enhance the management of aquaculture systems by strategically allocating marine space to balance ecological, economic, and social objectives (Petrosillo et al 2023). By integrating climate change projections into marine spatial planning, planners can identify and mitigate areas at higher risk of contamination, such as those prone to HABs or pollution runoff. Such planning can help delineate zones for aquaculture that avoid regions with known contamination sources or high disease risk, thus minimizing exposure to harmful substances.

To effectively minimize contaminants and harmful exposures in aquaculture products, stringent regulatory frameworks must be established and enforced. This includes implementing comprehensive monitoring programs that routinely assess the presence of environmental contaminants, such as heavy metals, POPs, and pathogenic microorganisms, in both aquaculture systems and final products (Eguiraun et al 2015). Regular sampling and analysis of water, feed, and seafood should be mandated to ensure compliance with established safety standards. We propose that governments lead these monitoring programs. This top-down approach will standardize monitoring practice and reporting along with a reduction in the cost burden on producers and consumers. Additionally, aquaculture practices should be regulated to prevent contamination at the source. This involves enforcing stringent biosecurity measures to reduce the risk of disease and pathogen introduction, including the use of certified disease-free stock and maintaining controlled water quality conditions (Subasinghe et al 2023). Feed sources should be rigorously vetted for contaminants, and alternative feed ingredients should undergo thorough risk assessments before approval for use (Eguiraun et al 2015). Furthermore, the establishment of traceability systems is essential, allowing for the tracking of aquaculture products from farm to table, which facilitates prompt responses to contamination incidents and ensures accountability (El Sheikha and Xu 2017).

Incorporating Hazard Analysis and Critical Control Points (HACCP) improvements into the regulation of aquaculture products is essential for enhancing food safety (Reilly and Kaferstein 1997). HACCP systems should be regularly updated to address emerging risks and contaminants specific to aquaculture. This involves conducting thorough hazard analyses to identify and evaluate potential contamination sources, such as pathogens, chemical residues, and environmental pollutants. Critical control points in the production process should be rigorously monitored and controlled, with enhanced procedures for detecting and mitigating contamination at each stage, from feed formulation to harvest and processing. These improvements collectively strengthen the ability to prevent, detect, and respond to potential hazards, thereby ensuring the safety and quality of aquaculture products.

To minimize the risk of exposure to contaminants from aquaculture products, consumers should adopt several proactive measures. Firstly, they should stay informed about seafood sourcing and opt for products from reputable suppliers and brands that adhere to stringent safety standards and certifications. This includes checking for third-party certifications, such as those from the Marine Stewardship Council or the Aquaculture Stewardship Council, which indicate adherence to environmental and safety practices. Consumers should also practice safe food handling and preparation techniques, including thoroughly cooking seafood to recommended temperatures to kill potential pathogens and avoiding cross-contamination.

5.4. Research interventions

Innovative and practical research initiatives are a critical component in aquaculture’s adaptation to climate change. As local conditions are impacted by climate change, it can be difficult for farmers to adjust practices to meet shifting demands. Research aimed at identifying existing species that thrive in various aquatic environments will allow farmers to optimally select species suited to their specific environments. Additionally, novel climate-resilient species may play a pivotal role under future conditions, and efforts should focus on developing such species. Genomic approaches have already begun to identify disease-resistant loci and to establish foundations of selective breeding programs targeting more resilient species (Nguyen 2024). Similar innovations that incorporate adaptation to climate stressors will further strengthen aquaculture systems.

Research that seeks to enhance real-time hazard monitoring strategies should also be a priority. Developments in HAB monitoring will allow for longer-term and more informed decision-making by affected aquaculture operations (Stoner et al 2024). Additionally, recent advancements have brought real-time, low cost water quality monitoring to aquaculture farms (Nuangpirom et al 2025). More effective, affordable, and accessible tools will improve decision making across sectors. These research directions will be vital in addressing the complex relationship between climate change and aquaculture food safety.

Supplementary Material

Supplementary Information S1
Supplementary Information S2

Supplementary material for this article is available online

Acknowledgments

We are grateful for the financial support of the John and Katie Hansen Family Foundation (awarded to CDG), the National Institutes of Health Fogarty International Center (Grant Number 1P20TW013028-01 awarded to CDG), and Conservation International.

Data availability statement

We are including a list of all publicly accessible articles that have been used in this review along with our data analysis script for readers to replicate our research process.

The data that supports the findings of this study are openly available in the supplementary files of this article.

Supplementary information (S1) available at: https://doi.org/10.1088/2976-601X/ae854f/data1.

Supplementary data (S2) available at: https://doi.org/10.1088/2976-601X/ae854f/data2.

Data analysis script available at: https://github.com/wfairfield/Climate-mediated-food-safety-hazards-of-aquaculture.

References

  1. Ahn J, Kang KW, Kang W, Lim H, Cho S, Moon J and Park W 2018. Mercury poisoning in a fisherman working on a pelagic fishing vessel due to excessive tuna consumption J. Occup. Health 60 89–93 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Amagliani G, Brandi G and Schiavano GF 2012. Incidence and role of Salmonella in seafood safety Food Res. Int. 45 780–8 [Google Scholar]
  3. Anater A, Manyes L, Meca G, Ferrer E, Luciano FB, Pimpao CT and Font G 2016. Mycotoxins and their consequences in aquaculture: a review Aquaculture 451 1–10 [Google Scholar]
  4. Anderson D 2012. HABs in a Changing World: A Perspective on Harmful Algal Blooms, Their Impacts, and Research and Management in a Dynamic Era of Climactic and Environmental Change (Harmful Algae) [PMC free article] [PubMed] [Google Scholar]
  5. Angthong P, Uengwetwanit T, Arayamethakorn S, Chaitongsakul P, Karoonuthaisiri N and Rungrassamee W 2020. Bacterial analysis in the early developmental stages of the black tiger shrimp (Penaeus monodon) Sci. Rep. 10 4896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Ashrafi R, Bruneaux M, Sundberg L-R, Pulkkinen K, Valkonen J and Ketola T 2018. Broad thermal tolerance is negatively correlated with virulence in an opportunistic bacterial pathogen Evol. Appl. 11 1700–14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Aydin A, Sudagidan M, Mamatova Z, Yurt MNZ, Ozalp VC, Zornu J, Tavornpanich S and Brun E 2023. Bacterial skin microbiota of seabass from aegean fish farms and antibiotic susceptibility of psychrotrophic pseudomonas Foods 12 1956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Azevedo LS, Pestana IA, Rocha ARM, Meneguelli-souza AC, Lima CAI, Almeida MG, Bastos WR and Souza CMM 2018. Drought promotes increases in total mercury and methylmercury concentrations in fish from the lower Paraíba do Sul River, southeastern Brazil Chemosphere 202 483–90 [DOI] [PubMed] [Google Scholar]
  9. Baker-Austin C, Stockley L, Rangdale R and Martinez-urtaza J 2010. Environmental occurrence and clinical impact of Vibrio vulnificus and Vibrio parahaemolyticus: a European perspective: V. vulnificus and V. parahaemolyticus in Europe Environ. Microbiol. Rep. 2 7–18 [DOI] [PubMed] [Google Scholar]
  10. Balbi T, Auguste M, Cortese K, Montagna M, Borello A, Pruzzo C, Vezzulli L and Canesi L 2019. Responses of mytilus galloprovincialis to challenge with the emerging marine pathogen vibrio coralliilyticus Fish Shellfish Immunol. 84 352–60 [DOI] [PubMed] [Google Scholar]
  11. Balbi T, Camisassi G, Montagna M, Fabbri R, Franzellitti S, Carbone C, Dawson K and Canesi L 2017. Impact of cationic polystyrene nanoparticles (PS-NH2) on early embryo development of Mytilus galloprovincialis: effects on shell formation Chemosphere 186 1–9 [DOI] [PubMed] [Google Scholar]
  12. Barchiesi F, Branciari R, Latini M, Roila R, Lediani G, Filippini G, Scortichini G, Piersanti A, Rocchegiani E and Ranucci D 2020. Heavy metals contamination in shellfish: benefit-risk evaluation in central Italy Foods 9 1720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Barszcz AA and Sidoruk M 2024. Impacts of water management in aquaculture on heavy metal accumulation in Rainbow trout muscles and associated health risks from consumption Food Control 164 110617 [Google Scholar]
  14. Basti L, Endo M and Segawa S 2011. Physiological, pathological, and defense alterations in Manila clams (short-neck clams), Ruditapes philippinarum, induced by Heterocapsa circularisquama J. Shellfish Res. 30 829–44 [Google Scholar]
  15. Bauer J, Teitge F, Neffe L, Adamek M, Jung A, Peppler C, Steinhagen D and Jung-schroers V 2021. Impact of a reduced water salinity on the composition of Vibrio spp. in recirculating aquaculture systems for Pacific white shrimp (Litopenaeus vannamei) and its possible risks for shrimp health and food safety J. Fish Dis. 44 89–105 [DOI] [PubMed] [Google Scholar]
  16. Bavisetty SCB, Vu HTK, Benjakul S and Vongkamjan K 2018. Rapid pathogen detection tools in seafood safety Curr. Opin. Food Sci. 20 92–99 [Google Scholar]
  17. Ben Cheikh Y, Travers M-A and Le Foll F 2017. Infection dynamics of a V. splendidus strain pathogenic to Mytilus edulis: in vivo and in vitro interactions with hemocytes Fish Shellfish Immunol. 70 515–23 [DOI] [PubMed] [Google Scholar]
  18. Ben Cheikh Y, Travers M-A, Morga B, Godfrin Y, Rioult D and Le Foll F 2016. First evidence for a Vibrio strain pathogenic to Mytilus edulis altering hemocyte immune capacities Dev. Comp. Immunol. 57 107–19 [DOI] [PubMed] [Google Scholar]
  19. Besson M, Vandeputte M, Van arendonk JAM, Aubin J, De Boer IJM, Quillet E and Komen H 2016. Influence of water temperature on the economic value of growth rate in fish farming: the case of sea bass (Dicentrarchus labrax) cage farming in the Mediterranean Aquaculture 462 47–55 [Google Scholar]
  20. Blasiak R et al. 2021. Evolving perspectives of stewardship in the seafood industry Front. Mar. Sci. 8 671837 [Google Scholar]
  21. Boison JO and Turnipseed SB 2015. A review of aquaculture practices and their impacts on chemical food safety from a regulatory perspective J. AOAC Int. 98 541–9 [DOI] [PubMed] [Google Scholar]
  22. Bonilla S. et al. Nutrients and not temperature are the key drivers for cyanobacterial biomass in the Americas. Harmful Algae. 2023;121:102367. doi: 10.1016/j.hal.2022.102367. [DOI] [PubMed] [Google Scholar]
  23. Bonnin-Jusserand M, Copin S, Bris CL, Brauge T, Gay M, Brisabois A, Grard T and Midelet-bourdin G 2019. Vibrio species involved in seafood-borne outbreaks (Vibrio cholerae, V. parahaemolyticus and V. vulnificus): review of microbiological versus recent molecular detection methods in seafood products Crit. Rev. Food Sci. Nutr. 59 597–610 [DOI] [PubMed] [Google Scholar]
  24. Bradl HB 2005. Sources and origins of heavy metals Interface Science and Technology (Elsevier; ) pp 1–27 [Google Scholar]
  25. Buzina R, Suboticanec K, Vukusic J, Sapunar J, Antonic K and Zorica M 1989. Effect of industrial pollution on seafood content and dietary intake of total and methylmercury Sci. Total Environ. 78 45–57 [DOI] [PubMed] [Google Scholar]
  26. Byrne M and Przeslawski R 2013. Multistressor impacts of warming and acidification of the ocean on marine invertebrates’ life histories Integr. Comp. Biol. 53 582–96 [DOI] [PubMed] [Google Scholar]
  27. Cabello FC 2006. Heavy use of prophylactic antibiotics in aquaculture: a growing problem for human and animal health and for the environment Environ. Microbiol. 8 1137–44 [DOI] [PubMed] [Google Scholar]
  28. Cabello FC, Godfrey HP, Buschmann AH and Dölz HJ 2016. Aquaculture as yet another environmental gateway to the development and globalisation of antimicrobial resistance Lancet Infect. Dis. 16 e127–e33 [DOI] [PubMed] [Google Scholar]
  29. Cai W-J et al. 2011. Acidification of subsurface coastal waters enhanced by eutrophication Nat. Geosci. 4 766–70 [Google Scholar]
  30. Casanova-Martínez I, Hernández-lópez E, Signes-pastor AJ, Sendra E, Carbonell-barrachina ÁA and Cano-lamadrid M 2025. Abiotic pollutant concentrations in fish: a comparative review of wild-caught and aquaculture sources Food Control 174 111220 [Google Scholar]
  31. Chen M, Jin M, Tao P, Wang Z, Xie W, Yu X and Wang K 2018. Assessment of microplastics derived from mariculture in Xiangshan Bay, China Environ. Pollut. 242 1146–56 [DOI] [PubMed] [Google Scholar]
  32. Coffey R, Paul MJ, Stamp J, Hamilton A and Johnson T 2019. A review of water quality responses to air temperature and precipitation changes 2: nutrients, algal blooms, sediment, pathogens JAWRA J. Am. Water Resour. Assoc. 55 844–68 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Colston JM et al. 2022. Associations between eight earth observation-derived climate variables and enteropathogen infection: an independent participant data meta-analysis of surveillance studies with broad spectrum nucleic acid diagnostics GeoHealth 6 e2021GH000452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Conaty S, Bird P, Bell G, Kraa E, Grohmann G and McANULTY JM 2000. Hepatitis A in New South Wales, Australia, from consumption of oysters: the first reported outbreak Epidemiol. Infect. 124 121–30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Curren E, Leaw CP, Lim PT and Leong SCY 2020. Evidence of marine microplastics in commercially harvested seafood Front. Bioeng. Biotechnol. 8 562760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Daniel DB, Ashraf PM, Thomas SN and Thomson KT 2021. Microplastics in the edible tissues of shellfishes sold for human consumption Chemosphere 264 128554. [DOI] [PubMed] [Google Scholar]
  37. de Wit CA, Vorkamp K and Muir D 2022. Influence of climate change on persistent organic pollutants and chemicals of emerging concern in the Arctic: state of knowledge and recommendations for future research Environ. Sci. Process. Impacts 24 1530–43 [DOI] [PubMed] [Google Scholar]
  38. Delegrange A, Vincent D, Courcot L and Amara R 2015. Testing the vulnerability of juvenile sea bass (Dicentrarchus labrax) exposed to the harmful algal bloom (HAB) species Pseudo-nitzschia delicatissima Aquaculture 437 167–74 [Google Scholar]
  39. Djedjibegovic J, Marjanovic A, Tahirovic D, Caklovica K, Turalic A, Lugusic A, Omeragic E, Sober M and Caklovica F 2020. Heavy metals in commercial fish and seafood products and risk assessment in adult population in Bosnia and Herzegovina Sci. Rep. 10 13238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Domeneghetti S et al. 2014. Mortality occurrence and pathogen detection in Crassostrea gigas and Mytilus galloprovincialis close-growing in shallow waters (Goro lagoon, Italy) Fish Shellfish Immunol. 41 37–44 [DOI] [PubMed] [Google Scholar]
  41. Dong Y, Liu H and Habimana O 2025. High risk of Vibrio pathogen and antibiotic resistance transfer in live seafood wet markets of Shantou, China Int. J. Food Microbiol. 432 111098. [DOI] [PubMed] [Google Scholar]
  42. Eguiraun H, Izagirre U and Martinez I 2015. A paradigm shift in safe seafood production: from contaminant detection to fish monitoring—application of biological warning systems to aquaculture Trends Food Sci. Technol. 43 104–13 [Google Scholar]
  43. El Sheikha AF and Xu J (Jp) 2017. Traceability as a key of seafood safety: reassessment and possible applications Rev. Fish. Sci. Aquac. 25 158–70 [Google Scholar]
  44. Emmenegger E, Moon C, Hershberger P and Kurath G 2013. Virulence of viral hemorrhagic septicemia virus (VHSV) genotypes Ia, IVa, IVb, and IVc in five fish species Dis. Aquat. Organ 107 99–111 [DOI] [PubMed] [Google Scholar]
  45. Engle CR 2010. Aquaculture Economics and Financing: Management and Analysis 1st edn (Wiley; ) ( 10.1002/9780813814346) [DOI] [Google Scholar]
  46. FAO 2022. The State of World Fisheries and Aquaculture 2022 (FAO; ) ( 10.4060/cc0461en) [DOI] [Google Scholar]
  47. FAO 2024. The State of World Fisheries and Aquaculture 2024 (FAO; ) ( 10.4060/cd0683en) [DOI] [Google Scholar]
  48. Farrell H, Seebacher F, O’connor W, Zammit A, Harwood DT and Murray S 2015. Warm temperature acclimation impacts metabolism of paralytic shellfish toxins from Alexandrium minutum in commercial oysters Glob. Change Biol. 21 3402–13 [DOI] [PubMed] [Google Scholar]
  49. Foran JA, Carpenter DO, Hamilton MC, Knuth BA and Schwager SJ 2005. Risk-based consumption advice for farmed Atlantic and wild pacific salmon contaminated with dioxins and dioxin-like compounds Environ. Health Perspect. 113 552–6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Ford HV, Jones NH, Davies AJ, Godley BJ, Jambeck JR, Napper IE, Suckling CC, Williams GJ, Woodall LC and Koldewey HJ 2022. The fundamental links between climate change and marine plastic pollution Sci. Total Environ. 806 150392. [DOI] [PubMed] [Google Scholar]
  51. Garver KA and Hawley LM, n.d. Characterization of viral haemorrhagic septicaemia virus (VHSV) to inform pathogen transfer risk assessments in British Columbia
  52. Glibert PM, Icarus Allen J, Artioli Y, Beusen A, Bouwman L, Harle J, Holmes R and Holt J 2014. Vulnerability of coastal ecosystems to changes in harmful algal bloom distribution in response to climate change: projections based on model analysis Glob. Change Biol. 20 3845–58 [DOI] [PubMed] [Google Scholar]
  53. Glibert P, Anderson D, Gentien P, Granéli E and Sellner K 2005. The global, complex phenomena of harmful algal blooms Oceanography 18 136–47 [Google Scholar]
  54. Gobler CJ, Doherty OM, Hattenrath-lehmann TK, Griffith AW, Kang Y and Litaker RW 2017. Ocean warming since 1982 has expanded the niche of toxic algal blooms in the North Atlantic and North Pacific oceans Proc. Natl Acad. Sci. USA 114 4975–80 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Golden CD et al. 2021. Aquatic foods to nourish nations Nature 598 315–20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Gomes MP. The convergence of antibiotic contamination, resistance, and climate dynamics in freshwater ecosystems. Water. 2024;16:2606. [Google Scholar]
  57. Goulden EF, Hall MR, Bourne DG, Pereg LL and Høj L 2012. Pathogenicity and infection cycle of vibrio owensii in larviculture of the ornate spiny lobster (Panulirus ornatus) Appl. Environ. Microbiol. 78 2841–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Gradoville MR, Crump BC, Häse CC and White AE 2018. Environmental controls of oyster-pathogenic vibrio spp. in oregon estuaries and a shellfish hatchery Appl. Environ. Microbiol. 84 e02156–17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Graham DA, Cherry K, Wilson CJ and Rowley HM 2007. Susceptibility of salmonid alphavirus to a range of chemical disinfectants J. Fish Dis. 30 269–77 [DOI] [PubMed] [Google Scholar]
  60. Granéli E and Turner JT (Eds) 2006. Ecology of Harmful Algae: 15 Tables, Ecological Studies (Springer; ) [Google Scholar]
  61. Grattan LM, Holobaugh S and Morris JG 2016. Harmful algal blooms and public health Harmful Algae 57 2–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Griffith AW, Shumway SE and Gobler CJ 2019. Differential mortality of north Atlantic bivalve molluscs during harmful algal blooms caused by the dinoflagellate, cochlodinium (a.k.a. margalefidinium) polykrikoides Estuaries Coasts 42 190–203 [Google Scholar]
  63. Griffith A and Gobler C 2016. Temperature controls the toxicity of the ichthyotoxic dinoflagellate Cochlodinium polykrikoides Mar. Ecol. Prog. Ser. 545 63–76 [Google Scholar]
  64. Groves L, Whyte S, Purcell S, Michaud D, Cai W, Garber A and Fast M 2023. Temperature impacts Atlantic salmon’s (Salmo salar) immunological response to infectious salmon anemia virus (ISAv) Fish Shellfish Immunol. Rep. 4 100099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Guidi LR, Santos FA, Ribeiro ACSR, Fernandes C, Silva LHM and Gloria MBA 2018. Quinolones and tetracyclines in aquaculture fish by a simple and rapid LC-MS/MS method Food Chem. 245 1232–8 [DOI] [PubMed] [Google Scholar]
  66. Guo W, Pan B, Sakkiah S, Yavas G, Ge W, Zou W, Tong W and Hong H 2019. Persistent organic pollutants in food: contamination sources, health effects and detection methods Int. J. Environ. Res. Public. Health 16 4361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Haenen OLM et al. 2023. Bacterial diseases of tilapia, their zoonotic potential and risk of antimicrobial resistance Rev. Aquac. 15 154–85 [Google Scholar]
  68. Hallegraeff G and Bolch C 2016. Unprecedented toxic algal blooms impact on Tasmanian seafood industry Microbiol. Aust. 37 143–4 [Google Scholar]
  69. Hammoudi A, Hoffmann R and Surry Y 2009. Food safety standards and agri-food supply chains: an introductory overview Eur. Rev. Agric. Econ. 36 469–78 [Google Scholar]
  70. Heugens EHW, Hendriks AJ, Dekker T, Straalen NMV and Admiraal W 2001. A review of the effects of multiple stressors on aquatic organisms and analysis of uncertainty factors for use in risk assessment Crit. Rev. Toxicol 31 247–84 [DOI] [PubMed] [Google Scholar]
  71. Hu N, Wang Z and Sun J 2026. A global meta-analysis reveals consistently negative effects of ocean acidification on marine cultured bivalves: implications for future bivalve aquaculture Rev. Fish Biol. Fish 36 10 [Google Scholar]
  72. Ibrahim M et al. 2020. Current trends of antimicrobials used in food animals and aquaculture Antibiotics and Antimicrobial Resistance Genes in the Environment (Elsevier; ) pp 39–69 [Google Scholar]
  73. Iordache AM, Nechita C, Voica C, Pluháček T and Schug KA 2022. Climate change extreme and seasonal toxic metal occurrence in Romanian freshwaters in the last two decades—case study and critical review npj Clean Water 5 2 [Google Scholar]
  74. Islam MJ, Kunzmann A and Slater MJ 2022. Responses of aquaculture fish to climate change-induced extreme temperatures: a review J. World Aquac. Soc. 53 314–66 [Google Scholar]
  75. Issac MN and Kandasubramanian B 2021. Effect of microplastics in water and aquatic systems Environ. Sci. Pollut. Res. 28 19544–62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Jolaosho TL, Rasaq MF, Omotoye EV, Araomo OV, Adekoya OS, Abolaji OY and Hungbo JJ 2025. Microplastics in freshwater and marine ecosystems: occurrence, characterization, sources, distribution dynamics, fate, transport processes, potential mitigation strategies, and policy interventions Ecotoxicol. Environ. Saf. 294 118036. [DOI] [PubMed] [Google Scholar]
  77. Jones TO, Whyte JNC, Ginther NG, Townsend LD and Iwama GK 1995. Haemocyte changes in the pacific oyster, crassostrea gigas, caused by exposure to domoic acid in the diatom pseudonitzschia pungens f. multiseries Toxicon 33 347–53 [DOI] [PubMed] [Google Scholar]
  78. Jothikumar N, Lowther JA, Henshilwood K, Lees DN, Hill VR and Vinjé J 2005. Rapid and sensitive detection of noroviruses by using taqman-based one-step reverse transcription-pcr assays and application to naturally contaminated shellfish samples Appl. Environ. Microbiol. 71 1870–5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Kahla-Nakbi AB, Besbes A, Bakhrouf A and Alcaide E, n.d. Characterisation and virulence properties of Vibrio isolates from diseased gilthead sea bream (Sparus aurata) cultured in Tunisia
  80. Karunasagar I 2008. Food safety and public health risks associated with products of aquaculture FAO Fisheries and Aquaculture Technical Paper ed Bondad-reantaso MG, Arthur JR and Subasinghe RP (Food and Agriculture Organization of the United Nations (FAO)) pp 9–25 [Google Scholar]
  81. Klinger DH, Levin SA and Watson JR 2017. The growth of finfish in global open-ocean aquaculture under climate change Proc. R. Soc. B 284 20170834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Koehler A et al. 2015. Sources, Fate and Effects of Microplastics in the Marine Environment: Part Two of a Global Assessment (International Maritime Organization; ) [Google Scholar]
  83. Kroeker KJ, Kordas RL, Crim RN and Singh GG 2010. Meta-analysis reveals negative yet variable effects of ocean acidification on marine organisms Ecol. Lett. 13 1419–34 [DOI] [PubMed] [Google Scholar]
  84. Lafferty KD, Harvell CD, Conrad JM, Friedman CS, Kent ML, Kuris AM, Powell EN, Rondeau D and Saksida SM 2015. Infectious diseases affect marine fisheries and aquaculture economics Annu. Rev. Mar. Sci. 7 471–96 [DOI] [PubMed] [Google Scholar]
  85. Latimer JS and Zheng J 2003. The sources, transport, and fate of pahs in the marine environment Ecological and Environmental Toxicology Series Douben PET ed (Wiley; ) pp 7–33 [Google Scholar]
  86. Lawson TB 1995. Fundamentals of Aquacultural Engineering (Springer US; ) ( 10.1007/978-1-4613-0479-1) [DOI] [Google Scholar]
  87. Lee S-J, Mamun M, Atique U and An K-G 2023. Fish tissue contamination with organic pollutants and heavy metals: link between land use and ecological health Water 15 1845 [Google Scholar]
  88. Leung P, Lee C and O’bryen PJ (Eds.) 2007. Species and System Selection for Sustainable Aquaculture 1st ed edn (Wiley; ) [Google Scholar]
  89. Liu L, Ge M, Zheng X, Tao Z, Zhou S and Wang G 2016. Investigation of Vibrio alginolyticus, V. harveyi, and V. parahaemolyticus in large yellow croaker, Pseudosciaena crocea (Richardson) reared in Xiangshan Bay, China Aquac. Rep. 3 220–4 [Google Scholar]
  90. Liu W, Semmouri I, Bulckaert S, Janssen C and Asselman J 2025. Temperature and salinity affect growth and toxin content of cyanobacterium Microcystis aeruginosa (PCC 7806) in estuarine environments Harmful Algae 146 102871. [DOI] [PubMed] [Google Scholar]
  91. Lopez-Joven C et al. 2018. Oyster farming, temperature, and plankton influence the dynamics of pathogenic vibrios in the thau lagoon Front. Microbiol. 9 2530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Lundebye A-K et al. 2017. Lower levels of Persistent Organic Pollutants, metals and the marine omega 3-fatty acid DHA in farmed compared to wild Atlantic salmon (Salmo salar) Environ. Res. 155 49–59 [DOI] [PubMed] [Google Scholar]
  93. MacKenzie LA, Smith KF, Rhodes LL, Brown A, Langi V, Edgar M, Lovell G and Preece M 2011. Mortalities of sea-cage salmon (Oncorhynchus tshawytscha) due to a bloom of Pseudochattonella verruculosa (Dictyochophyceae) in Queen Charlotte Sound, New Zealand Harmful Algae 11 45–53 [Google Scholar]
  94. Maia ML, Delerue-matos C, Calhau C and Domingues VF 2021. Validation and Evaluation of Selected Organic Pollutants in Shrimp and Seawater Samples from the NW Portuguese Coast Molecules 26 5774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Marium A, Chatha AMM, Naz S, Khan MF, Safdar W and Ashraf I 2023. Effect of temperature, pH, salinity and dissolved oxygen on fishes J. Zool. Syst. 1 1–12 [Google Scholar]
  96. Marsden ID, Contreras AM, MacKenzie L and Munro MHG 2016. A comparison of the physiological responses, behaviour and biotransformation of paralytic shellfish poisoning toxins in a surf-clam (Paphies donacina) and the green-lipped mussel (Perna canaliculus) Mar. Freshw. Res. 67 1163 [Google Scholar]
  97. Mazurais D et al. 2015. Evaluation of the impact of polyethylene microbeads ingestion in European sea bass (Dicentrarchus labrax) larvae Mar. Environ. Res. 112 78–85 [DOI] [PubMed] [Google Scholar]
  98. Mertz W 2009. Essential trace metals: new definitions based on new paradigms Nutr. Rev. 51 287–95 [DOI] [PubMed] [Google Scholar]
  99. Moron-Lopez J, Rodriguez-sanchez MC, Carreno F, Vaquero J, Pompa-pernia AG, Mateos-fernandez M and Pascual Aguilar JA 2021. Implementation of smart buoys and satellite-based systems for the remote monitoring of harmful algae bloom in inland waters IEEE Sens. J. 21 6990–7 [Google Scholar]
  100. Mugwanya M, Dawood MAO, Kimera F and Sewilam H 2022. Anthropogenic temperature fluctuations and their effect on aquaculture: a comprehensive review Aquac. Fish 7 223–43 [Google Scholar]
  101. Mulvenna V, Dale K, Priestly B, Mueller U, Humpage A, Shaw G, Allinson G and Falconer I 2012. Health risk assessment for cyanobacterial toxins in seafood Int. J. Environ. Res. Public. Health 9 807–20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Nalbone L, Cincotta F, Giarratana F, Ziino G and Panebianco A 2021. Microplastics in fresh and processed mussels sampled from fish shops and large retail chains in Italy Food Control 125 108003 [Google Scholar]
  103. Naylor RL et al. 2021. Blue food demand across geographic and temporal scales Nat. Commun. 12 5413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Naylor R, Fang S and Fanzo J 2023. A global view of aquaculture policy Food Policy 116 102422 [Google Scholar]
  105. Nguyen NH. Genetics and genomics of infectious diseases in key aquaculture species. Biology. 2024;13:29. doi: 10.3390/biology13010029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Noyes PD, McElwee MK, Miller HD, Clark BW, Van Tiem LA, Walcott KC, Erwin KN and Levin ED 2009. The toxicology of climate change: environmental contaminants in a warming world Environ. Int. 35 971–86 [DOI] [PubMed] [Google Scholar]
  107. Nuangpirom P, Pitjamit S, Jaikampan V, Peerakam C, Nakkiew W and Jewpanya P 2025. Machine learning on low-cost edge devices for real-time water quality prediction in tilapia aquaculture Sensors 25 6159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Nylund A, Brattespe J, Plarre H, Kambestad M and Karlsen M 2019. Wild and farmed salmon (Salmo salar) as reservoirs for infectious salmon anaemia virus, and the importance of horizontal- and vertical transmission PLoS One 14 e0215478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. O’Neil JM, Davis TW, Burford MA and Gobler CJ 2012. The rise of harmful cyanobacteria blooms: the potential roles of eutrophication and climate change Harmful Algae 14 313–34 [Google Scholar]
  110. Ohore OE, Wei Y, Wang Y, Nwankwegu AS and Wang Z 2022. Tracking the influence of antibiotics, antibiotic resistomes, and salinity gradient in modulating microbial community assemblage of surface water and the ecological consequences Chemosphere 305 135428. [DOI] [PubMed] [Google Scholar]
  111. Okocha RC, Olatoye IO and Adedeji OB 2018. Food safety impacts of antimicrobial use and their residues in aquaculture Public Health Rev. 39 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Olmedo P, Pla A, Hernández AF, Barbier F, Ayouni L and Gil F 2013. Determination of toxic elements (mercury, cadmium, lead, tin and arsenic) in fish and shellfish samples. Risk assessment for the consumers Environ. Int. 59 63–72 [DOI] [PubMed] [Google Scholar]
  113. Osburn FS, Wagner ND, Taylor RB, Chambliss CK, Brooks BW and Scott JT 2023. The effects of salinity and N : p on N-rich toxins by both an N-fixing and non-N-fixing cyanobacteria Limnol. Oceanogr. Lett. 8 162–72 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Petrosillo I et al. 2023. Towards sustainable marine spatial planning of aquaculture Ecol. Indic. 154 110542 [Google Scholar]
  115. Pfeifer S, Schiedek D and Dippner JW 2005. Effect of temperature and salinity on acetylcholinesterase activity, a common pollution biomarker, in Mytilus sp. from the south-western Baltic Sea J. Exp. Mar. Biol. Ecol. 320 93–103 [Google Scholar]
  116. Potasman I, Paz A and Odeh M 2002. Infectious outbreaks associated with bivalve shellfish consumption: a worldwide perspective Clin. Infect. Dis. 35 921–8 [DOI] [PubMed] [Google Scholar]
  117. R Core Team 2025. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, Austria: ) [Google Scholar]
  118. Randa MA, Polz MF and Lim E 2004. Effects of temperature and salinity on vibrio vulnificus population dynamics as assessed by quantitative PCR Appl. Environ. Microbiol. 70 5469–76 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Rehman S, Gora A, Kizhakudan J, Ilamparuthi S, Anbarasu M, Sanil NK and Laxmilatha P 2022. Identification, characterization and infection dynamics of Vibrio strains in phyllosoma of Thenus unimaculatus J. Appl. Animal Res. 50 177–86 [Google Scholar]
  120. Reilly A and Kaferstein F 1997. Food safety hazards and the application of the principles of the hazard analysis and critical control point (HACCP) system for their control in aquaculture production Aquac. Res. 28 735–52 [Google Scholar]
  121. Resma NS, Meaze AKMMH, Hossain S, Khandaker MU, Kamal M and Deb N 2020. The presence of toxic metals in popular farmed fish species and estimation of health risks through their consumption Phys. Open 5 100052 [Google Scholar]
  122. Rimm EB, Appel LJ, Chiuve SE, Djoussé L, Engler MB, Kris-etherton PM, Mozaffarian D, Siscovick DS and Lichtenstein AH 2018 On behalf of the American heart association nutrition committee of the council on lifestyle and cardiometabolic health; council on epidemiology and prevention; council on cardiovascular disease in the young; council on cardiovascular and stroke nursing; and council on clinical cardiology, 2018. seafood long-chain n-3 polyunsaturated fatty acids and cardiovascular disease: a science advisory from the American heart association Circulation 138 e35–47 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Rochman CM, Hentschel BT and Teh SJ 2014. Long-term sorption of metals is similar among plastic types: implications for plastic debris in aquatic environments PLoS One 9 e85433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Roman MR, Brandt SB, Houde ED and Pierson JJ 2019. Interactive effects of hypoxia and temperature on coastal pelagic zooplankton and fish Front. Mar. Sci. 6 139 [Google Scholar]
  125. Rosado D, Xavier R, Cable J, Severino R, Tarroso P and Pérez-losada M 2021. Longitudinal sampling of external mucosae in farmed European seabass reveals the impact of water temperature on bacterial dynamics ISME Commun 1 28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Sadler R and Connell D 2012. Global Distillation in an Era of Climate Change ed Puzyn T Organic Pollutants Ten Years after the Stockholm Convention—Environmental and Analytical Update (In Tech; ) ( 10.5772/38761) [DOI] [Google Scholar]
  127. Samdal I and Edvardsen B 2020. Massive salmon mortalities during a Chrysochromulina leadbeateri bloom in Northern Norway Harmful Algae News 64 4–5 (available at: https://unesdoc.unesco.org/ark:/48223/pf0000373644?posInSet=1&queryId=226d46e1-2a40-420f-a5ac-972c42007617) [Google Scholar]
  128. Sampaio A, Silva V, Poeta P and Aonofriesei F 2022. Vibrio spp.: life strategies, ecology, and risks in a changing environment Diversity 14 97 [Google Scholar]
  129. Santos L, Soares B, Rosa J, Freitas A, Leston S, Barbosa J and Ramos F 2016. Detection and quantification of 41 antibiotic residues in gilthead sea bream (sparus aurata) from aquaculture origin, using a multiclass and multi-residue UHPLC-MS/MS Method Food Anal. Methods 9 2749–53 [Google Scholar]
  130. Sapkota A, Sapkota AR, Kucharski M, Burke J, McKenzie S, Walker P and Lawrence R 2008. Aquaculture practices and potential human health risks: current knowledge and future priorities Environ. Int. 34 1215–26 [DOI] [PubMed] [Google Scholar]
  131. Schar D, Klein EY, Laxminarayan R, Gilbert M and Van Boeckel TP 2020. Global trends in antimicrobial use in aquaculture Sci. Rep. 10 21878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Schiedek D, Sundelin B, Readman JW and Macdonald RW 2007. Interactions between climate change and contaminants Mar. Pollut. Bull 54 1845–56 [DOI] [PubMed] [Google Scholar]
  133. Seltenrich N 2014. Keeping tabs on HABs: new tools for detecting, monitoring, and preventing harmful algal blooms Environ. Health Perspect. 122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Setälä O, Fleming-lehtinen V and Lehtiniemi M 2014. Ingestion and transfer of microplastics in the planktonic food web Environ. Pollut. 185 77–83 [DOI] [PubMed] [Google Scholar]
  135. Setälä O, Norkko J and Lehtiniemi M 2016. Feeding type affects microplastic ingestion in a coastal invertebrate community Mar. Pollut. Bull 102 95–101 [DOI] [PubMed] [Google Scholar]
  136. Shah HJ et al. 2024. Reported incidence of infections caused by pathogens transmitted commonly through food: impact of increased use of culture-independent diagnostic tests—foodborne diseases active surveillance network, 1996–2023 MMWR Morb. Mortal. Wkly. Rep. 73 584–93 [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Sharma L, Nagpal R, Jackson CR, Patel D and Singh P 2021. Antibiotic-resistant bacteria and gut microbiome communities associated with wild-caught shrimp from the United States versus imported farm-raised retail shrimp Sci. Rep. 11 3356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Shen M, Ye S, Zeng G, Zhang Y, Xing L, Tang W, Wen X and Liu S 2020. Can microplastics pose a threat to ocean carbon sequestration? Mar. Pollut. Bull 150 110712. [DOI] [PubMed] [Google Scholar]
  139. Shi W, Zhao X, Han Y, Che Z, Chai X and Liu G 2016. Ocean acidification increases cadmium accumulation in marine bivalves: a potential threat to seafood safety Sci. Rep. 6 20197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Shi X, Zou Y, Zhang Y, Ding G, Xiao Y, Lin S and Chen J 2024. Salinity decline promotes growth and harmful blooms of a toxic alga by diverting carbon flow Glob. Change Biol. 30 e17348. [DOI] [PubMed] [Google Scholar]
  141. Short RE et al. 2021. Harnessing the diversity of small-scale actors is key to the future of aquatic food systems Nat. Food 2 733–41 [DOI] [PubMed] [Google Scholar]
  142. Simukoko CK, Mwakalapa EB, Bwalya P, Muzandu K, Berg V, Mutoloki S, Polder A and Lyche JL 2022. Assessment of heavy metals in wild and farmed tilapia (Oreochromis niloticus) on Lake Kariba, Zambia: implications for human and fish health Food Addit. Contam. A 39 74–91 [DOI] [PubMed] [Google Scholar]
  143. Sokolova I and Lannig G 2008. Interactive effects of metal pollution and temperature on metabolism in aquatic ectotherms: implications of global climate change Clim. Res. 37 181–201 [Google Scholar]
  144. Stentiford GD et al. 2022. A seafood risk tool for assessing and mitigating chemical and pathogen hazards in the aquaculture supply chain Nat. Food 3 169–78 [DOI] [PubMed] [Google Scholar]
  145. Stoner O, Economou T and Brown AR 2024. Seasonal early warning of impacts of harmful algal blooms on farmed shellfish in coastal waters of scotland Water Resour. Res. 60 e2023WR034889 [Google Scholar]
  146. Strom MS and Paranjpye RN 2000. Epidemiology and pathogenesis of Vibrio vulnificus Microbes Infect. 2 177–88 [DOI] [PubMed] [Google Scholar]
  147. Subasinghe R, Alday-sanz V, Bondad-reantaso MG, Jie H, Shinn AP and Sorgeloos P 2023. Biosecurity: reducing the burden of disease J. World Aquac. Soc. 54 397–426 [Google Scholar]
  148. Sylvain F-É,Cheaib B, Llewellyn M, Gabriel Correia T, Barros Fagundes D, Luis Val A and Derome N 2016. pH drop impacts differentially skin and gut microbiota of the Amazonian fish tambaqui (Colossoma macropomum) Sci. Rep. 6 32032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Talmage S and Gobler C 2012. Effects of CO2 and the harmful alga Aureococcus anophagefferens on growth and survival of oyster and scallop larvae Mar. Ecol. Prog. Ser. 464 121–34 [Google Scholar]
  150. Tamele IJ, Silva M and Vasconcelos V 2019. The incidence of marine toxins and the associated seafood poisoning episodes in the African countries of the Indian Ocean and the Red Sea Toxins 11 58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Tang Y, Rong J, Guan X, Zha S, Shi W, Han Y, Du X, Wu F, Huang W and Liu G 2020. Immunotoxicity of microplastics and two persistent organic pollutants alone or in combination to a bivalve species Environ. Pollut. 258 113845. [DOI] [PubMed] [Google Scholar]
  152. Tatters AO, Roleda MY, Schnetzer A, Fu F, Hurd CL, Boyd PW, Caron DA, Lie AAY, Hoffmann LJ and Hutchins DA 2013. Short- and long-term conditioning of a temperate marine diatom community to acidification and warming Philos. Trans. R. Soc. B 368 20120437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Thompson RC, Olsen Y, Mitchell RP, Davis A, Rowland SJ, John AWG, McGonigle D and Russell AE 2004. Lost at Sea: where Is All the Plastic? Science 304 838. [DOI] [PubMed] [Google Scholar]
  154. Tobback E, Decostere A, Hermans K, Haesebrouck F and Chiers K 2007. Yersinia ruckeri infections in salmonid fish J. Fish Dis. 30 257–68 [DOI] [PubMed] [Google Scholar]
  155. Tornevi A, Bergstedt O and Forsberg B 2014. Precipitation effects on microbial pollution in a river: lag structures and seasonal effect modification PLoS One 9 e98546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Unuofin JO and Igwaran A 2023. Microplastics in seafood: implications for food security, safety, and human health J. Sea Res. 194 102410 [Google Scholar]
  157. Van Leeuwen SPJ, Van Velzen MJM, Swart CP, Van Der Veen I, Traag WA and De Boer J 2009. Halogenated contaminants in farmed salmon, trout, tilapia, pangasius, and shrimp Environ. Sci. Technol. 43 4009–15 [DOI] [PubMed] [Google Scholar]
  158. Vanden Bilcke C 2002. The stockholm convention on persistent organic pollutants Rev. Eur. Community Int. Environ. Law 11 328–42 [Google Scholar]
  159. Vaquer-Sunyer R and Duarte CM 2011. Temperature effects on oxygen thresholds for hypoxia in marine benthic organisms: EFFECTS OF TEMPERATURE IN HYPOXIA THRESHOLDS Glob. Change Biol. 17 1788–97 [Google Scholar]
  160. Vethaak AD and Legler J 2021. Microplastics and human health Science 371 672–4 [DOI] [PubMed] [Google Scholar]
  161. Wallace IS, Gregory A, Murray AG, Munro ES and Raynard RS 2008. Distribution of infectious pancreatic necrosis virus (IPNV) in wild marine fish from Scottish waters with respect to clinically infected aquaculture sites producing Atlantic salmon, Salmo salar L J. Fish Dis. 31 177–86 [DOI] [PubMed] [Google Scholar]
  162. Wallace RB, Baumann H, Grear JS, Aller RC and Gobler CJ 2014. Coastal ocean acidification: the other eutrophication problem Estuar. Coast. Shelf Sci. 148 1–13 [Google Scholar]
  163. Watts J, Schreier H, Lanska L and Hale M 2017. The rising tide of antimicrobial resistance in aquaculture: sources, sinks and solutions Mar. Drugs 15 158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Wetz JJ, Blackwood AD, Fries JS, Williams ZF and Noble RT 2014. Quantification of Vibrio vulnificus in an Estuarine Environment: a Multi-Year Analysis Using QPCR Estuaries Coasts 37 421–35 [Google Scholar]
  165. Wijngaard RR, van der Perk M, van der Grift B, de Nijs TCM and Bierkens MFP 2017. The impact of climate change on metal transport in a lowland catchment Water. Air. Soil Pollut. 228 107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Wu F, Kong H, Shang Y, Zhou Z, Gul Y, Liu Q and Hu M 2017. Histopathological alterations in triangle sail mussel (Hyriopsis cumingii) exposed to toxic cyanobacteria (Microcystis aeruginosa) under hypoxia Aquaculture 467 182–9 [Google Scholar]
  167. Yang Z, Yue GH and Wong S-M 2022. VNN disease and status of breeding for resistance to NNV in aquaculture Aquac. Fish 7 147–57 [Google Scholar]
  168. Yap CK, Jusoh A, Leong WJ, Karami A and Ong GH 2015. Potential human health risk assessment of heavy metals via the consumption of tilapia Oreochromis mossambicus collected from contaminated and uncontaminated ponds Environ. Monit. Assess. 187 584. [DOI] [PubMed] [Google Scholar]
  169. Zahir M, Su Y, Shahzad MI, Ayub G, Rahman SU and Ijaz J 2024. A review on monitoring, forecasting, and early warning of harmful algal bloom Aquaculture 593 741351 [Google Scholar]
  170. Zhang B-Z, Ni H-G, Guan Y-F and Zeng E 2009. Occurrence, bioaccumulation and potential sources of polybrominated diphenyl ethers in typical freshwater cultured fish ponds of South China Environ. Pollut. 158 1876–82 [DOI] [PubMed] [Google Scholar]
  171. Zhang X-J, Bai X-S, Yan B-L, Bi K-R and Qin L 2014. Vibrio harveyi as a causative agent of mass mortalities of megalopa in the seed production of swimming crab Portunus trituberculatus Aquac. Int. 22 661–72 [Google Scholar]
  172. Zhao W, Ye C, Li J and Yu X 2024. Increased risk of antibiotic resistance in surface water due to global warming Environ. Res. 263 120149. [DOI] [PubMed] [Google Scholar]
  173. Zolnikov TR (ed) 2019. Global Adaptation and Resilience to Climate Change, Palgrave Studies in Climate Resilient Societies (Springer; ) ( 10.1007/978-3-030-01213-7) [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information S1
Supplementary Information S2

Data Availability Statement

We are including a list of all publicly accessible articles that have been used in this review along with our data analysis script for readers to replicate our research process.

The data that supports the findings of this study are openly available in the supplementary files of this article.

Supplementary information (S1) available at: https://doi.org/10.1088/2976-601X/ae854f/data1.

Supplementary data (S2) available at: https://doi.org/10.1088/2976-601X/ae854f/data2.

Data analysis script available at: https://github.com/wfairfield/Climate-mediated-food-safety-hazards-of-aquaculture.

RESOURCES