Search Results (82)

Turbot (Scophthalmus maximus) is a globally important species in both capture fisheries and aquaculture. With the development of the turbot farming industry in China and several European countries, enhancing its aquaculture eco-economic performance has become a key concern among stakeholders. Turbot is a major species in marine fish aquaculture in China. As the world’s leading producer of farmed turbot, the bioeconomic dynamics of this species under recirculating aquaculture systems (RASs) remain poorly understood, which hinders optimal resource allocation, green development, and industrial upgrading of the turbot farming sector. In this study, a bioeconomic model for turbot cultured in industrial RASs was developed based on empirical production data and published literature. The optimal harvesting strategies under the industrial RAS production mode were analyzed. The results indicated the following: (1) for a two-year grow-out cycle commencing with stocking at the beginning of the year, at a farm-gate price of 7.56 USD/kg, the maximum cumulative profit of 41,846.08 USD occurred at t = 22.69 months, while the maximum monthly average profit of 1937.65 USD/month occurred at t = 20.49 months. The optimal harvesting time for single-batch culture was t = 22.69 months, whereas for continuous culture, it was t = 20.49 months. (2) Extended analysis incorporating fish price variation revealed that higher market prices corresponded to later optimal harvesting times. (3) February to April was identified as the optimal stocking window. Based on the bioeconomic dynamics elucidated herein, this study provides a theoretical foundation for related research and proposes producer-oriented strategy recommendations for reference by relevant stakeholders. Full article

This paper investigates the reliable stabilization and $L_2-L_{\infty }$ performance control problem for discrete-time descriptor systems described by Takagi–Sugeno (T-S) fuzzy models under stochastic data dropouts and actuator faults. In view of the practical situation that system states are usually unmeasurable, a novel observer-based proportional–derivative (PD) control strategy is proposed. Different from traditional state feedback, the PD structure effectively alleviates the inherent structural constraints of descriptor systems and relaxes the conditions for system regularity and causality. By constructing a parameter-dependent Lyapunov functional and using the Schur complement lemma, sufficient conditions are derived in the form of linear matrix inequalities (LMIs) to guarantee the stochastic stability of the closed-loop system and the prescribed $L_2-L_{\infty }$ performance. The effectiveness and superiority of the proposed methodology are verified through extensive numerical simulations on two practical case studies, namely, a bio-economic system and a DC motor system. In the case of actuator faults and data dropouts the observer achieves accurate state tracking, and the peak value of the system output is strictly constrained. The research results confirm that the method has strong robustness against data dropouts and actuator faults. Full article

The Colombian Amazon faces persistent tensions between biodiversity conservation and rural livelihoods, while territorially grounded productive alternatives remain limited. This study assesses the feasibility of a cacao-based agroforestry system as a sustainable value-chain strategy in Puerto Nariño (Amazonas) and Puerto Caicedo (Putumayo), Colombia. Using participatory action research and mixed methods (100 semi-structured interviews, participatory mapping, techno-economic scenario modeling, and MICMAC structural analysis), the study integrates local knowledge, productivity projections, and territorial governance assessment. The analysis indicates that cacao can be integrated into Amazonian chagra systems without introducing external species, preserving sociocultural compatibility and ecological continuity. Under empirically calibrated productivity assumptions and nine cost–price scenarios, projected annual revenues range from USD 1200 to 2550 per hectare, with an average net present value of USD 3596 over 30 years. MICMAC results identify community governance and institutional articulation as key enabling conditions shaping value-chain feasibility in both territories. Rather than proposing a universal model, the findings suggest that cacao-based agroforestry may strengthen food security and income diversification when embedded in locally legitimate institutions. These results are prospective and should be further assessed through pilot implementations and participatory monitoring. Full article

Catfish is a major commercial and subsistence species in Malawi, making its sustainability vital for local livelihoods and food security. However, limited evidence exists on the long-term biological and economic depletion of commercial catfish stocks. This study assessed the depletion status of the catfish fishery in the southeast arm of Lake Malawi using secondary catch and effort data from 2000 to 2023 obtained from the Malawi Department of Fisheries, and price and cost data obtained from the field study. Applying the bioeconomic Gordon–Schaefer model, the study estimated biological depletion and economic depreciation to quantify resource losses and evaluate the fishery’s sustainability. Constant and periodic harvesting strategies were examined to determine sustainable harvest thresholds. Results show that depletion occurred in 15 of the 24 years analysed, with a cumulative biomass loss of 446.1 tonnes and an estimated total depreciation of about MK 1.5 billion. These findings indicate exploitation beyond sustainable levels both biologically and economically, threatening stock recovery, long-term productivity, and economic viability. The study highlights the value of bioeconomic modelling in fishery assessment and underscores the urgent need for improved management, including strengthened monitoring, effort regulation, and enhanced enforcement, to ensure sustainable utilisation of catfish resources and protect dependent livelihoods. Full article

This study analyzes the olive tree in the Menara Garden (Marrakech) to elucidate its role in the resilience of semi-arid urban agroecosystems. By combining hyperspectral remote sensing, bioeconomic modeling, and biophysical analyses, it quantifies the ecosystem services provided by the park (100 ha, 10000 trees). The results demonstrate optimal microclimate regulation (evapotranspiration accounting for 53.21% of the water balance), significant pollutant sequestration (carbon dioxide (CO₂), ozone (O₃), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), particulate matter (PM)), soil stabilization, and circular valorization of 268 t/year of biomass. These performances stem from adaptive traits (adjustable stomatal conductance, phenotypic plasticity), enabling water savings of 35 ± 5%. The study proposes a framework integrating plant physiology, ecosystem services, and SDGs, advocating for urban policies refocused on green infrastructure as pillars of sustainability in semi-arid zones. Full article

The economic performance of Holstein, Montbéliarde × Holstein, and Simmental × Holstein cows was evaluated using a bio-economic model. The results showed differences in income and costs between crossbred and pure Holstein groups. The Montbéliarde–Holstein crossbreds had the highest milk income ($2223) and profitability ($1002) compared to the Simmental crossbreds and pure Holstein. In contrast, pure Holstein made the most money from selling extra heifers, while both crossbred groups, especially Simmental × Holstein, made more money from selling male calves. Crossbred systems had much lower annual maintenance costs. Simmental × Holstein had variable costs that were 22% lower than those of pure Holstein. Trait-based economic evaluations demonstrated that Montbéliarde crossbreds exhibited the highest economic value for milk production, while Simmental crosses were more susceptible to prolonged calving intervals. Both crossbred groups had higher birth weights and growth rates than Holstein cows. Overall, these results provide strong evidence that crossbreeding Holstein with Montbéliarde maximizes overall profitability, while Simmental × Holstein also offers notable economic benefits through reduced maintenance costs and improved growth performance. Full article

This study aimed to evaluate the stock status of the Japanese flying squid (Todarodes pacificus), a critical fishery resource in the waters of Korea, China, and Japan. To achieve this objective, we employed the Bio-Economic Stock Assessment (BESA) model, which integrates catch and market price data to estimate the biological and economic parameters of Japanese flying squid biomass. The assessment results indicated that the current biomass level of Japanese flying squid is below the biomass at Maximum Sustainable Yield ($B_{\mathrm{MSY}}$), suggesting that the stock is overfished. Moreover, the findings from the BESA model were consistent with results obtained from the Monte Carlo Method (CMSY) and Bayesian State-Space (BSS) models, both of which also indicated a collapsed status. Unlike the CMSY and BSS models, which rely on catch and catch per unit effort (CPUE) data, the BESA model utilizes market price data from National Statistics and the Food and Agriculture Organization (FAO), thereby eliminating the need for CPUE standardization. Consequently, the BESA model presents an alternative framework that complements existing assessment methods and enhances the reliability of fishery stock evaluations through its integrated approach, suggesting its potential applicability to the stock assessment of Japanese flying squid in Korea. Full article

Western North Carolina (WNC), part of the Appalachian landscape, hosts a robust forest product industry but faces increasing challenges like land marginalization, warming temperatures and raw material shortages. This study evaluates the site suitability and cost-effectiveness of cultivating Populus species for high-value veneer–plywood (VP) production in WNC using the Veneer-Poplar Productivity and Economic Assessment Model (VP-PEAM). The model integrates site-specific variables (elevation, soil characteristics, landform and land-use history) to optimize site-species management strategies across diverse landscapes. Twelve scenarios are analyzed to assess how biophysical and land-use factors influence VP growth and profitability. The results show that VP productivity and profitability decline with increasing elevation, past land-use intensity, soil compaction and decreasing soil depth. All land-use types studied support profitable VP production. Yet, flood plain sites with medium-textured soils and moderate water table depths (0.61–1.83 m) offer optimal conditions. Even under suboptimal conditions, extended rotations maintain profitability, except on sites with persistent waterlogging or shallow water tables (<0.31 m). VPs generate higher annual equivalent opportunity benefits (USD 1568–USD 2763 ha⁻¹ yr⁻¹ in 15- to 18-year rotations) compared to non-forest land uses, suggesting their potential to enhance regional wood supply and land-use efficiency. These findings contribute to site-informed forest management and offer a modeling approach for assessing forest resilience and cost-effectiveness in Appalachian landscapes. Full article

This article analyzes how Austrian economic principles contribute to bioeconomic development in Ecuador, emphasizing key aspects such as property rights, spontaneous order, entrepreneurial innovation, institutional frameworks and decentralized knowledge. The relevance of incorporating an instrumental case was established, in which the scale, composition, and technology (SCT) effects model was applied to the comparative analysis of Ecuador, Chile, Argentina, and Brazil during the 2000–2023 period. This study was complemented by multiple linear regression, which was used to evaluate the relationship between economic growth, CO₂ emissions, the agricultural industry, foreign direct investment, and a composite bioeconomy index. The results showed complete decoupling between GDP and emissions in Ecuador, driven by technological improvements and transformations in key sectors such as agriculture and renewable energy. Chile and Brazil also showed paths of complete decoupling, although to a lesser extent for the latter, while Argentina exhibited relative decoupling, in which bioeconomic growth continues to be associated with an increase in emissions. The estimated models present an R² (between 0.81 and 0.91). This study shows that it is possible to move towards a sustainable bioeconomy. Full article

This study develops a weather-driven bio-economic optimization framework for agricultural planning in Guyana by integrating weather simulation, crop modeling, and multi-objective optimization. Precipitation was modeled using a first-order Markov chain with fitted distribution, while temperature and relative humidity were simulated using stochastic differential equations. Reference evapotranspiration was estimated using an artificial neural network. These simulated weather variables were then used as inputs to AquaCrop to estimate rice, maize, and soybean yields across multiple planting intervals. A multi-objective optimization model was then applied to optimize gross profit, economic water productivity, and land use efficiency. Validation at the Rose Hall Estate showed strong accuracy for rice and maize (MAPE < 10%) and moderate accuracy for soybeans. Scenario analyses for the 2024–2025 season, assuming 25% and 50% export targets, revealed that rice–maize double cropping produced the highest profitability, while soybean–maize combinations were less favorable. The framework replaces static yield assumptions with dynamic, simulation-driven models that incorporate price forecasts and allow substitution of alternative forecasting or crop simulators to enhance precision. The scenario-based design provides a flexible decision-support platform for optimizing crop selection, planting intervals, and resource allocation under climate variability and market uncertainty. Moreover, the framework is scalable and well-suited for evidence-based agricultural planning. Full article

Farming animals that are resilient to various instabilities could improve both animal welfare and system sustainability. We evaluated three resilience indicators (Var, LnVar, and r-auto) in Holstein cattle on Czech farms using a bio-economic approach. We considered 3655 cows based on their genetic predisposition as 25% most resilient (Q3), median (Q2), and 25% least resilient (Q1), as well as their performance characteristics from routine production testing. Most of the performance characteristics significantly differed (p < 0.05) among the defined resilience quartiles. Q3 cows had slightly lower milk yield, higher milk component content, better udder health, and shorter dry periods compared to Q2 cows. The longevity of Q3 cows differed according to the indicator used (this was higher in Var and LnVar, but lower in r-auto). The highest profitability was found for the Q2 group in Var and r-auto and for Q1 in LnVar. Across all three resilience indicators, Q3 cows were the least profitable. Milk yield, lactation persistence, longevity, and milk fat and protein content contributed most to farm profit change across the resilience groups. The generality and simulation accuracy confirmed that the bio-economic model is suitable for the comprehensive setting and economic evaluation of resilience indicators and cattle performance. Full article

Profitable dairy farming requires continuous appraisal and adaptation of production systems in response to changing market and agricultural policy conditions. Geopolitical and climate events have exemplified the exposure of farm incomes to the increased volatility associated with often-global market factors. In this context, bio-economic models can be a useful tool for researchers seeking to understand the financial resilience of different production systems to these changing circumstances. The AFBI Dairy Systems Model is presented and used to simulate the impacts of alternative price scenarios for Northern Ireland-based dairy systems. The whole farm model consists of four interdependent components, comprising farm system, animal nutrition, feed supply and financial sub models. The model is used to evaluate how fluctuations in milk, concentrate, fertiliser, contractor, and electricity prices, as well as interest rate changes, affect three distinct production systems. The financial performance of all systems was sensitive to variations in milk and concentrate prices but relatively insensitive to variations in fertiliser, contractor, and electricity prices and interest rate changes. The profitability of a low-output system was less exposed to variations in prices. In contrast, a high-output system was more exposed to price variations. However, a medium-input system was the most profitable across the majority of price scenarios investigated. Full article

This study develops integrated bioeconomic management strategies for the common squid (Todarodes pacificus) fishery in Korea’s coastal waters, addressing both biological conservation and economic sustainability amid severe stock depletion and declining fishery profitability. Drawing on recent catch data and cost structures for six Total allowable Catch (TAC)-managed fishery types, common squid-specific economic indicators were estimated using a stepwise cost allocation method. Based on previous research using the Catch—Maximum Sustainable Yield (CMSY) model with limited Catch Per Unit Effort (CPUE) data, the biomass in 2020 was estimated at approximately 56% of Biomass at Maximum Sustainable Yield (BMSY), indicating an overfished state. Scenario-based simulations identified TAC allocation thresholds at which net profits reach zero, providing a benchmark for adaptive quota redistribution. Results show variation in economic sensitivity and common squid dependency among fishery types: common squid-dependent gears such as offshore jigging and East Sea trawl exhibit high vulnerability, while multi-species fisheries such as purse seine remain resilient. These results provide a basis for developing tailored management strategies for each fishery, thereby enhancing the effectiveness of interventions. Accordingly, policy recommendations include dynamic TAC adjustments, expanded monitoring, introduction of an Individual Transferable Quota system, and coordinated stock assessments with China and Japan. These findings contribute to refining Korea’s TAC system by aligning stock recovery goals with the economic viability of fishing operations. Full article

The circular bioeconomy (CBE) is an evolving paradigm that promotes sustainable economic development. Artificial intelligence (AI) emerges as an important enabler within this paradigm, offering capabilities that could significantly enhance operational efficiencies and innovation. Despite its recognized potential, the full value of Al across the diverse areas of the CBE remains underexplored. This paper introduces a novel framework for assessing and harnessing the role of Al to facilitate a transition towards a CBE. The framework was developed through an interdisciplinary literature review and conceptual modeling. The framework maps ten key CBE domains against eight core AI functions (such as prediction, optimization, and discovery) that can be leveraged to enhance the circularity of bioeconomic processes. A case study on biowaste valorization, employing a framework-guided literature review methodology, demonstrates the framework’s utility in identifying research gaps and opportunities in using AI. The case study reveals a current emphasis on AI for prediction and optimization tasks, while highlighting significant underutilization in discovery and design functions. The framework can help guide researchers, policymakers, and industry stakeholders in identifying and deploying AI-driven solutions that help support a more sustainable bioeconomy. Full article

Due to significant initial investments, adopting complex reactive irrigation technologies to manage salinity can be financially risky for farmers. This paper explores using existing irrigation systems to manage salinity by adjusting irrigation timing and amounts to manage salt and water stress. An integrated bioeconomic model, combining a crop model and an economic model, was developed to simulate the impact of irrigation decisions on crop yield and profitability. This paper used secondary data to develop the case study used in the analysis. The results indicated that the margin above specified costs for a segmented irrigation approach was consistently higher than for the uniform approach. The economic benefit varied depending on the soil salinity category that made up the uniform approach, with a maximum potential benefit of 161 ZAR/ha. Increasing irrigation in high-salinity zones to dilute salts enhanced crop yields through improved osmotic and matric potentials, leading to higher total soil water potential. Interestingly, despite higher irrigation applications, there was minimal leaching of salts. The conclusion is that farmers can effectively manage salt and water stress using their current irrigation technology, avoiding costly reactive technologies. Adjusting irrigation timing and amounts offers a viable, cost-effective solution for managing salinity and optimising crop yields. Full article