Evolution of Global Food Trade Patterns and Its Implications for Food Security Based on Complex Network Analysis

Wang, Jieyong; Dai, Chun

doi:10.3390/foods10112657

Cited by 28 publications

(27 citation statements)

References 35 publications

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“…Our approach provides intriguing results, albeit requiring future investigation in a large class of other ecological networks. While structural evolution is obligatory across networks of diverse origin, such as biogeochemical networks [52], food-trade networks [53], and other socio-economic networks [54,55], further work along this direction can provide practical mitigation policies towards a sustainable future.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Effects of time-varying habitat connectivity on metacommunity persistence

Bhandary,

Biswas,

Banerjee

et al. 2022

Preprint

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Network structure or connectivity pattern is critical in determining collective dynamics among interacting species in ecosystems. Conventional research on species persistence in spatial populations has focused on static network structure, though most real network structures change in time, forming time-varying networks. This raises the question, in metacommunities, how does the pattern of synchrony vary with temporal evolution in the network structure. The synchronous dynamics among species are known to reduce metacommunity persistence. Here, we consider a time-varying metacommunity small-world network consisting of a chaotic three-species food chain oscillator in each patch/node. The rate of change in the network connectivity is determined by the natural frequency or its subharmonics of the constituent oscillator to allow sufficient time for the evolution of species in between successive rewirings. We find that over a range of coupling strengths and rewiring periods, even higher rewiring probabilities drive a network from asynchrony towards synchrony. Moreover, in networks with a small rewiring period, an increase in average degree (more connected networks) pushes the asynchronous dynamics to synchrony. On the contrary, in networks with a low average degree, a higher rewiring period drives the synchronous dynamics to asynchrony resulting in increased species persistence. Our results also follow the calculation of synchronization time and robust across other ecosystem models. Overall, our study opens the possibility of developing temporal connectivity strategies to increase species persistence in ecological networks.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Effects of time-varying habitat connectivity on metacommunity persistence

Bhandary,

Biswas,

Banerjee

et al. 2022

Preprint

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“…Animals and animal products are the main sources of known NTS outbreaks [10], and some serovars are associated with specific animal sources, such as Salmonella Enteritidis and poultry products; for other serovars, the association is restricted to certain countries, such as a link between S. Sofia and poultry in Australia [11]. Typical diets vary between countries around the world and are continually changing [12], as are food supply trading partners [13], altering the types and sources of foods with which humans interact. In addition, there is evidence of Salmonella transmission between humans [14].…”

Section: Introductionmentioning

confidence: 99%

“…Sofia and poultry in Australia [11]. Typical diets vary between countries around the world and are continually changing [12], as are food supply trading partners [13], altering the types and sources of foods with which humans interact. In addition, there is evidence of Salmonella transmission between humans [14].…”

Section: Introductionmentioning

confidence: 99%

Genomic diversity and epidemiological significance of non-typhoidal Salmonella found in retail food collected in Norfolk, UK

et al. 2023

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Non-typhoidal Salmonella (NTS) is a major cause of bacterial gastroenteritis. Although many countries have implemented whole genome sequencing (WGS) of NTS, there is limited knowledge on NTS diversity on food and its contribution to human disease. In this study, the aim was to characterise the NTS genomes from retail foods in a particular region of the UK and assess the contribution to human NTS infections. Raw food samples were collected at retail in a repeated cross-sectional design in Norfolk, UK, including chicken (n=311), leafy green (n=311), pork (n=311), prawn (n=279) and salmon (n=157) samples. Up to eight presumptive NTS isolates per positive sample underwent WGS and were compared to publicly available NTS genomes from UK human cases. NTS was isolated from chicken (9.6 %), prawn (2.9 %) and pork (1.3 %) samples and included 14 serovars, of which Salmonella Infantis and Salmonella Enteritidis were the most common. The S. Enteritidis isolates were only isolated from imported chicken. No antimicrobial resistance determinants were found in prawn isolates, whilst 5.1 % of chicken and 0.64 % of pork samples contained multi-drug resistant NTS. The maximum number of pairwise core non-recombinant single nucleotide polymorphisms (SNPs) amongst isolates from the same sample was used to measure diversity and most samples had a median of two SNPs (range: 0–251). NTS isolates that were within five SNPs to clinical UK isolates belonged to specific serovars: S. Enteritidis and S. Infantis (chicken), and S. I 4,[5],12:i- (pork and chicken). Most NTS isolates that were closely related to human-derived isolates were obtained from imported chicken, but further epidemiological data are required to assess definitively the probable source of the human cases. Continued WGS surveillance of Salmonella on retail food involving multiple isolates from each sample is necessary to capture the diversity of Salmonella and determine the relative importance of different sources of human disease.

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“…Though grain trade is an effective way to ensure the global grain supply [ 27 ], it also increases the risk of external interference [ 28 ]. When grain trade is dominated by only a few countries, it will greatly amplify the vulnerability of the national food system towards external shocks such as global weather disasters and political instability, and thereby, affect the national food security [ 29 ]. Therefore, how will China’s barley import change?…”

Section: Introductionmentioning

confidence: 99%

Impact of Extreme Weather Disasters on China’s Barley Industry under the Background of Trade Friction—Based on the Partial Equilibrium Model

Liu

2022

Foods

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The world has entered a compound risk era with multiple crises, and the adverse impact of trade friction and extreme weather disasters on China’s barley import has become increasingly prominent. In this context, this study uses superimposed epoch analysis and partial equilibrium model to evaluate the impact of extreme weather disasters in China’s major barley-exporting countries on China’s barley industry in the course of China–Australia trade friction. The results show that: (1) extreme weather disaster caused barley production in France and Canada to decrease by 7.95% and 18.36% respectively; (2) when the two external shocks occur at the same time, China’s barley import volume tends to decline compared with the basic scenario, the import price rises sharply, there are certain trade-diverting effects in barley import, and China’s imports from countries not affected by extreme weather disasters will increase to a certain extent; (3) China’s barley production remains at a low rate of growth and is vulnerable to external shocks, facing certain import risks. This study provides important policy implications for preventing import risks and ensuring the sufficient supply of domestic barley.

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Evolution of Global Food Trade Patterns and Its Implications for Food Security Based on Complex Network Analysis

Cited by 28 publications

References 35 publications

Effects of time-varying habitat connectivity on metacommunity persistence

Effects of time-varying habitat connectivity on metacommunity persistence

Genomic diversity and epidemiological significance of non-typhoidal Salmonella found in retail food collected in Norfolk, UK

Impact of Extreme Weather Disasters on China’s Barley Industry under the Background of Trade Friction—Based on the Partial Equilibrium Model

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