Mapping potential areas for finfish mariculture,particularly high-yield regions,is crucial for the proper utilization of marine space and global food security.Physiological models(growth performance models)that consid...Mapping potential areas for finfish mariculture,particularly high-yield regions,is crucial for the proper utilization of marine space and global food security.Physiological models(growth performance models)that consider the spatiotemporal heterogeneity of the marine environment are a potentially effective approach to achieving this goal.In the present study,we developed an integrated model that combines the thermal performance curve and spatiotemporal heterogeneity of the marine environment to map the global high-yield potential mariculture areas for 27 commercial finfish species.Our results showed that the current sizes of the potentially suitable areas(achieving 50% of the maximum growth rate for at least six months annually)and high-yield areas(achieving 75% of the maximum growth rate throughout a year)are(8.00±0.30)×10^(6) and(5.96±0.13)×10^(6) km^(2),respectively.Currently,the sizes of suitable and high-yield areas for warm-water mariculture fish are larger than those for other species.The growth potential of suitable mariculture areas is higher at mid and low latitudes than at high latitudes.Under the two shared socioeconomic pathway scenarios(SSP1-2.6 and SSP5-8.5),the sizes of both suitable and high-yield areas will increase by 2050.However,there is the potential for finfish mariculture to respond differently to climate change among species and regions,and cold-water fish may benefit from global warming.Overall,the global potential for suitable high-yield mariculture areas continues to increase,making finfish mariculture an important contributor to global food security.展开更多
Evaluating species composition and dynamic shifts within fouling communities is essential for developing effective strate-gies to manage biofouling in marine fish aquaculture.The coastal area in the Yellow Sea is a ke...Evaluating species composition and dynamic shifts within fouling communities is essential for developing effective strate-gies to manage biofouling in marine fish aquaculture.The coastal area in the Yellow Sea is a key area for cage aquaculture in China;however,this region faces significant challenges from biofouling organisms.Here,we employed an experimental approach in a filed mesocosm in a net cage aquaculture area in the Yellow Sea,with weekly monitoring of changes in macrofouling species on mesh nets and in the seawater,to assess the utility of water eDNA metabarcoding for identifying macrofoulers.We compared the temporal variation patterns in the composition and diversity of macrofouling communities identified through morphological method as well as COI and 18S rRNA metabarcoding.The results showed that metabarcoding detected the majority of macrofoulers identified through morphological method(64%),and revealed additional species that were overlooked by traditional monitoring approach.Furthermore,the changes in diversity and community composition over sampling dates in COI data were generally consistent with those in morphological identification,although a temporal lag existed between these two approaches.A notable shift in the fouling community occurred at the end of June with the appearance of Ectopleura crocea and Caprella sp.,marking a pivotal change in its structure.Future research could focus on developing targeted primers for these key fouling species,which would enhance the efficiency of monitoring efforts.展开更多
基金supported by the National Natural Science Founda-tion of China(42025604)the Fundamental Research Funds for the Central Universities of the Ocean University of China.
文摘Mapping potential areas for finfish mariculture,particularly high-yield regions,is crucial for the proper utilization of marine space and global food security.Physiological models(growth performance models)that consider the spatiotemporal heterogeneity of the marine environment are a potentially effective approach to achieving this goal.In the present study,we developed an integrated model that combines the thermal performance curve and spatiotemporal heterogeneity of the marine environment to map the global high-yield potential mariculture areas for 27 commercial finfish species.Our results showed that the current sizes of the potentially suitable areas(achieving 50% of the maximum growth rate for at least six months annually)and high-yield areas(achieving 75% of the maximum growth rate throughout a year)are(8.00±0.30)×10^(6) and(5.96±0.13)×10^(6) km^(2),respectively.Currently,the sizes of suitable and high-yield areas for warm-water mariculture fish are larger than those for other species.The growth potential of suitable mariculture areas is higher at mid and low latitudes than at high latitudes.Under the two shared socioeconomic pathway scenarios(SSP1-2.6 and SSP5-8.5),the sizes of both suitable and high-yield areas will increase by 2050.However,there is the potential for finfish mariculture to respond differently to climate change among species and regions,and cold-water fish may benefit from global warming.Overall,the global potential for suitable high-yield mariculture areas continues to increase,making finfish mariculture an important contributor to global food security.
基金supported by grants from the National Key Research and Development Program of China(No.2023YFD2401103)the Fundamental Research Funds for the Central Universities.
文摘Evaluating species composition and dynamic shifts within fouling communities is essential for developing effective strate-gies to manage biofouling in marine fish aquaculture.The coastal area in the Yellow Sea is a key area for cage aquaculture in China;however,this region faces significant challenges from biofouling organisms.Here,we employed an experimental approach in a filed mesocosm in a net cage aquaculture area in the Yellow Sea,with weekly monitoring of changes in macrofouling species on mesh nets and in the seawater,to assess the utility of water eDNA metabarcoding for identifying macrofoulers.We compared the temporal variation patterns in the composition and diversity of macrofouling communities identified through morphological method as well as COI and 18S rRNA metabarcoding.The results showed that metabarcoding detected the majority of macrofoulers identified through morphological method(64%),and revealed additional species that were overlooked by traditional monitoring approach.Furthermore,the changes in diversity and community composition over sampling dates in COI data were generally consistent with those in morphological identification,although a temporal lag existed between these two approaches.A notable shift in the fouling community occurred at the end of June with the appearance of Ectopleura crocea and Caprella sp.,marking a pivotal change in its structure.Future research could focus on developing targeted primers for these key fouling species,which would enhance the efficiency of monitoring efforts.
