Biofloc technology (BFT) is gaining traction as a strategic aquaculture tool for boosting feed conversions, biosecurity, and wastewater recycling. The significant aspect of BFT is aquaculture with highest stocking density and minimal water exchange. It not only improves the water quality of a system by removing inorganic nitrogen from wastewater but also serves as a suitable feed supplement and probiotic source for cultured species. This technology is commonly used for shrimp and tilapia culture and can be used for both semi-intensive and intensive culture systems. Biofloc, when combined with formulated diets, forms a balanced food chain that improves growth performance. Nutrients in this system are continuously recycled and reused and form an efficient alternative system in aquaculture. In addition to the reduction in water exchange, it is also considered as a bio-security measure, since it prevents entry of disease from outside sources. Aquamimicry is an innovative concept that simulates natural estuarine conditions by developing copepods that act as supplementary nutrition especially for shrimp culture. The review highlights the process, significance, and development of BFT, its microbial interactions, nutritional value, transition from biofloc to copefloc, and concept of aquamimicry to sustainably improve aquaculture production.

The status of data-limited tuna fishery stocks in India has been tested using the latest and most advanced computerized methods, CMSY and BSM. Five tuna fish stocks from both the Eastern and Western Indian Ocean were assessed using both catch and catch per unit effort (CPUE) details available from 1990 to 2015. Both methods help to calculate the maximum sustainable yield (MSY) and exploitation of MSY relative to biomass (B/B_MSY). The results of maximum intrinsic rate (r) and carrying capacity are also estimated. The results revealed that all tuna stocks in both the regions were overfished, with one, the longtail tuna (Thunnus tonggol) in the Western Indian Ocean strongly overfished (B/B_MSY = 0.44). Such observations, although still preliminary since the techniques used to produce them are relatively new, often associated with the situation and exploitation of all the stock in question, making the CMSY and BSM methods promising for stock assessment in data-deficit situations. The study concludes that in order to restore the status of these five tuna stocks in both regions, it would be necessary to reduce the fishing pressure.

The combination and convergence of energy-intensive industries developed by ecological factors based on energy clusters is discussed in this paper. Here, a few models for the prediction of greenhouse effects are used as a single type of modeling. In this model, the solar panel system is included as a measure of the greenhouse effect; Commitment Unit (CU) formulations are changed with flouted logic because solar integrations and other unknown variables are intermittent. In general, the greenhouse model with natural ventilation temperature prediction is incomplete, in which the resulting fluid logical CU problem can be solved with an evolutionary algorithm based on the definition and the theory of quantum calculation. This paper proposes a Fuzzy Model-Based Quantum Greenhouse Evolutionary Ventilation Algorithm (FM-BSQGEVA) which helps to minimize the CU problem. The QGEVA is updated to include a hierarchy-group-oriented scheme to tackle the non-linear nature of the issue and its multifaceted nature. The QGEVA is further developed to support a new binary differential operator and several genetic algorithm operators with a redefined rotational angle look-up. The chances that such operators are used on separate solutions are affected by stating the membership function based on their related fitness. The fitness function is calculated through a combination of the penalty function, objective function and the added fluid function. The models built can be used to regulate and control natural ventilation in greenhouse effects. This finding shows that an energy-intensive industrial cluster’s environmental chain of the industry has improved eco-efficiency.

Against the background of global climate change and China’s dual-carbon strategic goal, agricultural carbon emission reduction and low-carbon transformation have become urgent practical issues. As an important characteristic cash crop in China, apple cultivation faces significant carbon emission pressure, and an obvious spatial imbalance exists in carbon productivity across major producing areas. Using the Dagum Gini coefficient, kernel density estimation, and Markov-chain analysis, this study analyzes regional differences in and the dynamic distribution of carbon productivity in China’s main apple-growing provinces from 2008 to 2024. The results indicate the following: (1) Overall, carbon productivity in China’s apple industry shows an upward trend, with a “rising–declining–rising–declining” M-shaped evolution during the study period. (2) The main reason for the overall differences is variation between regions, which shows a continuous inverted V-shaped change pattern of “rising–declining–rising–declining–rising–declining–rising.” (3) High-carbon-productivity areas have a positive effect on surrounding areas, while low-productivity areas have a negative effect. Therefore, to improve carbon productivity in apple cultivation, it is essential to not only understand regional differences and their causes but also leverage the positive effects of neighboring high-carbon-productivity areas to positively influence local conditions. This will help achieve cross-regional collaborative improvement in carbon productivity in China’s main apple-producing provinces.

The implementation of the Regional Comprehensive Economic Partnership (RCEP) will reshape the regional industrial landscape and exert a significant influence on aquatic product trade. Drawing upon the officially signed agreement text, this study constructs a Global Trade Analysis Project (GTAP) model to examine the combined effects of RCEP-mandated tariff reductions and trade facilitation measures on China’s aquatic product trade. The findings reveal that RCEP effectively reduces regional trade costs, with the average tariff rate on aquatic products among member countries declining from 6.60 to 0.72%, representing a reduction of 89.10%. Concurrently, average import clearance time improves by 37.84%, while average export clearance time improves by 19.42%. The implementation of RCEP shifts China’s aquatic product sector from a domestically oriented pattern toward an export-oriented one. The agreement expands the overall scale of aquatic product trade, with both import and export values projected to increase; however, the growth rate of imports substantially outpaces that of exports. In terms of trading partners, intra-RCEP trade growth far exceeds the growth of trade with non-RCEP economies. Furthermore, following the conclusion of RCEP, the improvement in the terms of trade for aquatic products generates a positive welfare effect. The overall impact of RCEP on China’s aquatic product trade represents the combined outcome of trade creation, trade diversion, and trade displacement effects. In this context, promoting the sustainable development of aquatic product trade under the RCEP framework is significant for developing the regional economy and enhancing the long-term resilience of trade.

The journal retracts the article titled “An Empirical Analysis of Green Technology Innovation and Ecological Efficiency Based on a Greenhouse Evolutionary Ventilation Algorithm Fuzzy-Model”