Sustainable Management Strategies Research Articles

A Scalable and User-Friendly Framework Integrating IoT and Digital Twins for Home Energy Management Systems

The rise in electricity costs for households over the past year has driven significant changes in energy usage patterns, with many residents adopting smarter energy-efficient practices, such as improved indoor insulation and advanced home energy management systems powered by IoT and Digital Twin technologies. These measures not only mitigate rising bills but also ensure optimized thermal comfort and sustainability in typical residential settings. This paper proposes an innovative framework to facilitate the adoption of energy-efficient practices in households by leveraging the integration of Internet of Things technologies with Digital Twins. It introduces a novel approach that exploits standardized parametric 3D models, enabling the efficient simulation and optimization of home energy systems. This design significantly reduces deployment complexity, enhances scalability, and empowers users with real-time insights into energy consumption, indoor conditions, and actionable strategies for sustainable energy management. The results showcase that the proposed method significantly outperforms traditional approaches, achieving a 94% reduction in deployment time and a 98% decrease in memory usage through the use of standardized parametric models and plug-and-play IoT integration.

The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019

Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively coarse resolution (~8.3 km), and inadequately considered precise localization parameters. Here, we produced annual blue and green water use for 15 main crops with a resolution of 1 km for the years 1991–2019 in China. Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. The resulting maps showed a high correlation with locally observed values at field stations (R2 = 0.95), statistics (R2 = 0.77), and exhibited some strengths compared with existing datasets that covered various scales. This dataset can play a key role in devising sustainable water management strategies.

Investigation of the anti-Huanglongbing effects using antimicrobial lipopeptide and phytohormone complex powder prepared from Bacillus amyloliquefaciens MG-2 fermentation

Global citrus production has been severely affected by citrus Huanglongbing (HLB) disease, caused by Candidatus Liberibacter asiaticus (Clas), and the development of effective control methods are crucial. This study employed antimicrobial lipopeptide and phytohormone complex powder (L1) prepared from the fermentation broth of the endophytic plant growth promoting bacterium (PGPB) of Bacillus amyloliquefaciens strain MG-2 to treat Candidatus Liberibacter asiaticus (CLas)-infected ‘Citrus reticulata ‘Chun Jian’ plants. Real-time fluorescence quantitative polymerase chain reaction (qPCR) and PCR were employed for disease detection. The results revealed that after 15 spray-drench treatments with L1 solution, the HLB infection rate decreased from 100 to 50%, the bacterial titer decreased by 51.9% compared with a 27.9% decrease in the control group. L1 treatment triggered the production of reactive oxygen species, increased lignin content, and increased defense enzyme activities (p < 0.05). Defense-related gene expression significantly increased within 12 h of treatment. In addition, L1 application also promoted plant growth, as evidenced by higher transpiration rates and net photosynthetic rates as well as increased leave or root density. Root flora analysis revealed that the abundances of Burkholderia_thailandensis, unclassified_g_Burkholderia-Caballeronia-Paraburkholderia, unclassified_g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium, and Pseudomonas_mosselii were 1.64, 1.46, 5.84, and 6.93 times greater, respectively, than those in the control group. The levels of phenylpropanoids, polyketides, lipids, lipid-like molecules, organic acids, and derivatives, significantly increased following L1 treatment (FC > 2, p < 0.05). Additionally, salicylic acid, dihydrojasmonic acid, and isopentenyl adenosine levels in leaves markedly increased. High-performance liquid chromatography (HPLC) confirmed that L1 contained surfactin, iturin and fengycin cyclic-lipopeptides (CLPs) as well as indole-3-acetic acid (IAA), 3-indolebutyric acid (IBA), indole-3-carboxylic acid and indole-3-carboxaldehyde auxins, N6-entopentenyladenine and t-zeatin-riboside cytokinins, abscisic acid, 1-aminocyclicpanecarboxylic acid, salicylic acid, and gibberellin A1, A3 and A4 phytohormones. These findings provide insight into multiple mechanisms by which endophytic Bacillus PGPB L1 is able to combat HLB disease, to promote citrus plant growth, and to optimize the root flora for soil health which offering an innovative strategy for sustainable management of this severe disease and improving citrus plant growth and productivity

Host Metabolic Alterations Mediate Phyllosphere Microbes Defense upon Xanthomonas oryzae pv oryzae Infection.

Rice bacterial leaf blight, caused by Xanthomonas oryzae pv oryzae (Xoo), is a significant threat to global food security. Although the microbiome plays an important role in protecting plant health, how the phyllosphere microbiome is recruited and the underlying disease resistance mechanism remain unclear. This study investigates how rice phyllosphere microbiomes respond to pathogen invasion through a comprehensive multiomics approach, exploring the mechanisms of microbial defense and host resistance. We discovered that Xoo infection significantly reshapes the physicosphere microbial community. The bacterial network became more complex, with increased connectivity and interactions following infection. Metabolite profiling revealed that l-ornithine was a key compound to recruiting three keystone microbes, Brevundimonas (YB12), Pantoea (YN26), and Stenotrophomonas (YN10). These microbes reduced the disease index by up to 67.6%, and these microbes demonstrated distinct defense mechanisms. Brevundimonas directly antagonized Xoo by disrupting cell membrane structures, while Pantoea and Stenotrophomonas enhanced plant immune responses by significantly increasing salicylic acid and jasmonic acid levels and activating defense-related enzymes. Our findings provide novel insights into plant-microbe interactions, demonstrating how host metabolic changes recruit and activate beneficial phyllosphere microbes to combat pathogenic invasion. This research offers promising strategies for sustainable agricultural practices and disease management.

Spatial Distribution and Mechanisms of Groundwater Hardness in the Plain Area of Tangshan City, China

Groundwater resources play a critical role in meeting the agricultural, industrial, and domestic water demands of Tangshan, a key industrial city in China. However, with the acceleration of urbanization and the overextraction of groundwater, issues related to groundwater quality have become increasingly apparent. Notably, groundwater hardness has steadily increased over the years, posing risks to human health and elevating industrial water treatment costs. This study analyzed the spatial distribution characteristics and causes of groundwater hardness using 214 groundwater quality samples collected in 2022 from the plain area of Tangshan City, employing inverse distance weighting (IDW), Gibbs diagrams, ion ratios, mineral saturation indices, and Pearson correlation analysis. The results indicate that, in horizontal distribution, high-hardness groundwater is predominantly concentrated in the southern coastal plain area, with hardness gradually decreasing from south to north. Vertically, shallow groundwater in the coastal plain exhibits significantly higher hardness than deep groundwater, with a non-compliance rate of 94.12%, while deep groundwater hardness remains markedly lower. Mid-depth groundwater (60–300 m) in the alluvial plain exhibits elevated hardness, primarily attributed to mineral dissolution and agricultural irrigation return flow. The spatial distribution pattern of groundwater hardness across the study area is predominantly governed by hydrogeochemical processes and hydrochemical environmental factors, with cation exchange adsorption and evaporation–concentration processes identified as the dominant influences. The analysis of ion sources indicates that Ca2+ and Mg2+, the primary contributors to groundwater hardness in the area, are mainly derived from the weathering and dissolution of carbonate minerals, sulfate minerals, and cation exchange processes. Therefore, an in-depth investigation into the spatial distribution and driving factors of groundwater hardness in Tangshan can provide a scientific basis for regional water resource management, pollution control, and water quality optimization. Such research also supports the development of sustainable groundwater management and optimization strategies.

Silencing ACE1 Gene with dsRNA of Different Lengths Impairs Larval Development in Leptinotarsa decemlineata

In the search for effective strategies to control the Colorado Potato Beetle, RNA interference technology has emerged as a promising method due to its capacity to suppress genes selectively. Factors such as the target gene and double-stranded RNA (dsRNA) length are critical for optimizing gene silencing efficiency. In this study, we designed and synthesized in vitro dsRNAs of varying lengths targeting the ACE1 gene, which encodes the AChE1 isoform of acetylcholinesterase in the beetle. All tested dsRNA lengths (222 bp, 543 bp, 670 bp, and 870 bp) promoted transcript reduction. The 670 bp dsRNA was the most effective, reducing transcript levels by approximately 40% by day seven, followed by the 543 bp dsRNA. No significant differences were observed between the 222 bp and 870 bp dsRNAs. Furthermore, all of the dsRNA lengths resulted in reduced weight gain and increased mortality in larvae, with the 670 bp dsRNA showing the highest mortality rate, leaving only 63% larval survival, a trend that persisted through day nine. These findings emphasize that dsRNA length is a key factor in the silencing response, underscoring the importance of selecting the optimal length while considering the gene’s target, stability, and delivery methods. This study contributes to establishing design criteria for dsRNA, aiding in the development of more effective and sustainable pest management strategies.

Contribution of the GRACE Satellite Mission to Mapping Water Mass Variations in River Basins

Abstract. In the context of climate change, there is a need to understand the dynamics and temporal fluctuations of continental water. Such knowledge is essential for the development of more effective and sustainable management strategies for this indispensable resource. The Earth's gravitational field is not constant but varies over time due to factors such as mass redistribution during the hydrological cycle. The GRACE satellite mission (Gravity Recovery and Climate Experiment) provides valuable information about the geodynamic behaviour of our planet by estimating variations in the continental water storage from the temporal changes in the Earth’s gravity field.The aim of this work is to demonstrate the contribution of satellite gravimetry to identify patterns of variation in continental water masses within large river basins. For this purpose, a regional study of the TWS (Total Water Storage) derived from GRACE was carried out, focusing on the spatial and temporal changes detected in the La Plata Basin in South America. The periods with the most extreme variations between 2019 and 2023 were analyzed, and the TWS was compared with satellite precipitation data, to subsequently relate them to ENSO events that occurred in the region. The results show that GRACE detected the significant changes in water storage, highlighting in particular the severe drought that occurred in this basin in 2022.

Trade-offs and management strategies for ecosystem services in mixed Scots pine and Maritime pine forests

AbstractMixed forests are increasingly recognized for their resilience to climate change and enhanced ecosystem services (ESs) provision, making them a focal point for sustainable forest management strategies. This study examines the trade-offs in ESs provision between pure and different proportions of mixed stands of Scots pine (Pinus sylvestris L.) and Maritime pine (Pinus pinaster Ait.) in the Northern Iberian Range, Spain. Using the SIMANFOR simulation platform, we evaluated various silvicultural scenarios developed to obtain different ESs such as carbon sequestration, timber and mushroom yields. Our findings reveal that ESs provision varies depending on the forest type (pure or mixed) and the mixture proportion, following different trends on each ES. The initial species proportions and their maintenance were less critical than the management approach itself, which significantly influenced ESs outcomes. Focusing solely on individual ESs can lead to trade-offs, as highlighted by our study on silviculture focused on large saw timber yields. However, adopting a balanced approach that considers multiple ESs can mitigate these trade-offs. Our findings underscore the effectiveness of this approach in maximizing yields of mushrooms, sequestered carbon, and small saw timber. This research provides valuable insights for forest managers aiming to balance productivity and sustainability in ESs provision, providing strategies to maximize compatible ESs effectively.

Isolation and characterization of a Bdellovibrio bacteriovorus from fish pond water

IntroductionThe intricate habitats of aquatic organisms, coupled with the prevalence of pathogens, contribute to a high incidence of various diseases, particularly bacterial infections. Consequently, the formulation of sustainable and effective disease management strategies is crucial for the thriving aquaculture sector.Methods and resultsIn this investigation, a strain of Bdellovibrio bacteriovorus, designated B. bacteriovorus FWA, was isolated from a freshwater fish pond. Identification was achieved through microscopic examination of morphological characteristics, biochemical property assessment, and phylogenetic analysis. The lysogenic capability of B. bacteriovorus FWA was evaluated, revealing its effectiveness in lysing Escherichia coli, Aeromonas hydrophila, Vibrio alginolyticus, Vibrio parahaemolyticus, and Edwardsiella tarda. Physiological analysis indicated that the optimal ratio of B. bacteriovorus FWA to host bacteria was 1:10,000, with strict aerobic requirements. The optimal pH range for growth and reproduction was 7.0–8.0, the ideal temperature was found to be 30–35°C, with a preferred Na+ concentration of 0% and a Ca2+ concentration of 15–25 mM. Additionally, B. bacteriovorus FWA demonstrated enhanced lytic activity against bacteria in aquaculture effluent while effectively managing ammonia-nitrogen levels.DiscussionIn summary, B. bacteriovorus FWA holds significant promise for development as a probiotic agent in aquaculture.

Spatiotemporal Assessment of Water Quality and Quantity of the Kaptai Lake at Rangamati, Bangladesh - An Approach of Remote Sensing, Field Investigation and Laboratory Analysis

Monitoring water quality and quantity is essential for sustainable water resource management. This study investigates changes in the extent and water quality of Kaptai Lake using remote sensing, field measurements, and laboratory analysis. Analysis of Landsat TM/OLI images from 1989, 2000, 2010, and 2021 shows that the lake's water extent ranges from 380 km² (in 2010) to 435 km² (in 2021), with an average of 407.5 km². The extent of water decreased by approximately 3% from 1989 to 2010 and increased by about 5% from 2010 to 2021 due to changing rainfall patterns, dam operations, sedimentation, and land use changes. Seasonal variations in chlorophyll-a concentration and turbidity, analyzed using Sentinel 2B images from 2022 and 2023, indicate mesotrophic to eutrophic conditions and higher turbidity in post-monsoon. The study found that nutrient enrichment from untreated sewage, agricultural runoff, and algal growth affect chlorophyll-a levels, while development activities, excessive rainfall, and sedimentation influence turbidity. Linear regression analyses show strong positive correlation between field obtained and image derived values both for chlorophyll-a (R2 0.621) and turbidity (R2 0.698). Physico-chemical parameters such as pH, EC and temperature have been measured in the field and hydrochemical parameters including, cations and anions have been measured by laboratory analysis to assess the contemporary water quality status. The average values for pH, EC and temperature are 7.55, 119.85 µS/cm and 22.17 °C respectively. The cationic dominance in the studied segment of the Lake is in the order of Ca2+ > Na2+ > Mg2+>K+ > Fe2+ >Mn2+. On the other hand, the anions are in the order of HCO3- > SO42- > Cl- > NO3-. All the physico-chemical parameters of the lake water fall within the Bangladesh Drinking Water Limit (BDWL) and are not linked to chlorophyll-a and turbidity variations. The findings of this study can help mitigate the deterioration of Kaptai Lake by addressing water quality and extent issues, promoting effective and sustainable lake management strategies. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 13(1), 2024, P 121-139

Weed management modifies functional properties of both weeds and microbial nitrogen‐cycling communities in Mediterranean vineyards

Abstract Nitrogen (N) availability is crucial to maintaining crop productivity in agroecosystems, driven primarily by soil microbial processes such as nitrification and denitrification. Weeds are an integral part of agroecosystems and are involved in many processes related to the N cycle, but how weed management could shift plant–microbe interactions, and thus, N‐cycling is yet to be determined. Using a network of 15 Mediterranean vineyards, we quantified the effect of 5 years of different weed management practices (chemical weeding, tillage, mowing) on the above‐ground and below‐ground functional properties of weed communities and soil microbial N‐cycling. Specific root length (SRL) of the tilled and mowed weed communities were 30% and 44% lower than in the herbicide‐treated weed communities. Soil pH and texture were the main drivers of soil microbial activity as quantified by substrate‐induced respiration (SIR), potential denitrifying enzyme activities to SIR ratio (PDEA:SIR) and potential nitrifying and denitrifying enzyme activity ratio (PNEA:PDEA). SIR was also impacted by the management: Mowed weed communities had 58% higher SIR compared to herbicide‐treated communities. Weed communities with high SRL were associated with soils with a higher nitrifying enzyme efficiency per unit of respired carbon. Synthesis and applications. Overall, our findings indicate that vineyard weed management influences the potential nitrifying enzyme activities by modifying the root strategies of weed communities. This study highlights that the design of sustainable weed management strategies should incorporate unintended effects on soil microbial communities and N‐cycling.

Transgenic expression of SeCYP9A186 and PxFMO2 confers resistance to emamectin benzoate in Plutella xylostella.

The overexpression of metabolic enzymes constitutes a crucial mechanism for insects to detoxify xenobiotics and metabolic pesticides. A flavin-containing monooxygenase gene (PxFMO2) from Plutella xylostella and a P450 gene (SeCYP9A186, F116V mutant allele) from Spodoptera exigua have been reported to be involved in insecticide resistance. In this study, we aim to utilize transgenic technology to validate their in vivo detoxification functions in Plutella xylostella. We established two transgenic strains of Plutella xylostella with expressing an endogenous PxFMO2 gene from Plutella xylostella and an exogenous SeCYP9A186 gene from S. exigua, respectively. Bioassays demonstrated that the transgenic Plutella xylostella strain (IPP-FMO2) expressing PxFMO2 exhibited a 12-fold resistance to emamectin benzoate and a 6.4-fold resistance to chlorantraniliprole compared to the background strain (IPP-S). In contrast, the transgenic Plutella xylostella strain (IPP-9A186) expressing SeCYP9A186 displayed a 235-fold resistance to emamectin benzoate and a 115-fold resistance to abamectin. Moreover, resistance to emamectin benzoate in the IPP-9A186 strain of Plutella xylostella was inherited as an incompletely dominant trait and was genetically linked to the transgene locus. Our results not only elucidated the in vivo contribution of the PxFMO2 and SeCYP9A186 to the insecticide resistance phenotype in Plutella xylostella, but also provided a genetic engineering toolkit to manipulate resistance pathways. These insights and methodologies could further aid in developing sustainable pest management strategies in Plutella xylostella. © 2024 Society of Chemical Industry.

Pest Management Pathways: Control Strategies for the Olive Fruit Fly (Bactrocera oleae)—A Systematic Map

A systematic map is a structured method for reviewing and categorizing research evidence on a scientific topic, offering a broad overview without requiring quantitative synthesis. Unlike systematic reviews, which focus on answering specific research questions, systematic maps help identify trends, gaps, and patterns in literature. This approach has gained increasing recognition in entomology, particularly for providing unbiased insights in fields such as medical entomology and insect biodiversity conservation. By mapping existing studies, systematic maps aid in guiding policy decisions and research priorities. This study presents a systematic map of research on olive fruit fly [(Bactrocera oleae) (Rossi) (Diptera: Tephritidae)] control methods, a key pest in olive cultivation. By reviewing literature from the past sixteen years, we aim to provide a comprehensive analysis of the various strategies tested for managing B. oleae. The main objectives are to categorize the types of studies, assess their scope, and identify trends or gaps in pest control research. The results offer a clearer understanding of the current state of knowledge and suggest directions for future research. This systematic map will serve as a valuable resource for entomologists and policymakers working on sustainable pest management strategies.

The Mycobiota Diversity Associated with Mistletoe (Viscum album L.) in Poland

The spread of mistletoe, which mainly affects Scots pine in Europe’s managed forests, has become a serious ecological and economic problem, exacerbated by climate change and drought stress. Research into mistletoe-associated mycobiota provides crucial insights into the biology, ecology and distribution of these fungi and forms the basis for sustainable plant protection and effective management strategies. The aim of this study was to identify the fungal species associated with mistletoe (Viscum album L.) at 75 sites across Poland, with a focus on the northeastern regions of the country. The field work included a systematic and targeted search using the transect method, followed by laboratory analysis, during which fungal samples were prepared and examined under both light and scanning electron microscopes. The genetic analysis was carried out using ITS sequencing to confirm the presence of pathogen-specific fungi in the majority of V. album samples examined. The results showed four fungal species associated with the mycobiota of mistletoe: Sphaeropsis visci, Plenodomus visci, Cylindrodendrum hubeiense and Septoria krystynae. It is noteworthy that two of these species (P. visci and C. hubeiense) have not yet been detected in Poland. Based on these findings, the distribution areas of the identified fungal species were mapped accordingly.

Growth Rates and Specific Aminoacyl-tRNA Synthetases Activities in Clupea harengus Larvae

Gaining robust in situ estimates of the growth rate of marine fish larvae is essential for understanding processes controlling year-class success and developing sustainable management strategies to maintain good environmental status. We measured the growth rate of Atlantic herring (Clupea harengus) larvae in the laboratory and compared it to the activity of aminoacyl-tRNA synthetases (AARS). Larvae were reared under controlled conditions for 20 days at three temperatures (7, 12, and 17 °C) using different prey concentrations (0.1, 0.3, and 2 prey·mL−1) of the copepod Acartia tonsa. The relationship between specific growth rates (SGR) and specific AARS activities was best described by a linear function—SGR = −0.1031 + 0.0017 · spAARS, r2 = 0.71, p < 0.05—when only larvae fed ad libitum were considered regardless of the temperature. When larvae fed with low concentrations of food were included in the analysis, the relationship was SGR = −0.0332 + 0.0010 · spAARS, r2 = 0.42, p < 0.05. This latter slope was rather low compared to other studies performed in zooplankton. We suggest protein degradation during the early life stages of fish as the cause of this low slope. We also studied SGR under food deprivation and the effect on specific AARS activities. We found rather high specific AARS activities in small individuals of early stages of fish, also suggesting protein degradation. Further research about protein degradation and turnover rates is needed in order to use AARS activity as a proxy for growth rates in field-caught larvae.

Evaluating sustainable water management strategies using TOPSIS and fuzzy TOPSIS methods

This study evaluates sustainable water management strategies using TOPSIS and Fuzzy TOPSIS (FTOPSIS) to address global water scarcity by comparing rainwater harvesting, water recycling, and desalination across five criteria: water efficiency, cost-effectiveness, environmental impact, social equity, and technological feasibility. The results show Rainwater Harvesting as the most balanced option with a relative closeness value of Ci+=0.640, excelling in social equity and environmental sustainability. Water Recycling ranks closely behind (Ci+=0.608), highlighting its adaptability and technological feasibility, while Desalination, though highly efficient, is hindered by lower cost-effectiveness (Ci+=0.578). By integrating TOPSIS and FTOPSIS, the study addresses uncertainties and subjective criteria, providing a robust multi-dimensional assessment framework for resource management. This methodology aids decision-makers in identifying strategies that align with sustainable development goals and adapt to regional priorities. Future work can expand this framework to include stakeholder engagement and policy factors, enhancing water management strategies for resilient, long-term solutions.

Agroforestry-Silvopastoral Systems Suitability for the Plateau Landforms: Devrekani Plateau (Northern Turkiye)

The Devrekani Plateau, located in the Kure Mountains massif (Kastamonu-Türkiye), is a geomorphological unit with flat areas ranging between 1000 and 1300 meters in altitude. Agriculture, animal husbandry, and forestry activities are standard on the plateau. Due to environmental constraints, versatile, holistic, and sustainable land use plans are needed in such high areas. This study examines land use patterns compatible with natural environmental conditions for the Plateau Landforms. Agroforestry-silvopastoral systems where agriculture, pasture, forest lands, and recreational functions are applied together have been evaluated in the study area. Criteria that have a high relationship with land use have been identified. Using Geographic Information Systems, weighted overlay analysis was carried out with factor maps regarding Lithology, Slope, Elevation, and Actual Land Use. The model output reveals that the regions between agriculture and forest are the most suitable for the agroforestry-silvopastoral systems (outside urban areas) and recreation. The most suitable areas for mixed land use plans on the plateau are generally karst areas with sparse vegetation, located above 1200 meters, and having a 6-12% slope. The lower border of these areas is agricultural areas with flat or nearly flat slopes, commonly formed by alluviums. The upper limit consists of forest areas with steep slopes surrounded by high hills. Implementing agroforestry-silvopastoral land use models on plateau landforms can be an effective strategy for sustainable environmental management and land use.

Agroforestry-Silvopastoral Systems Suitability for the Plateau Landforms: Devrekani Plateau (Northern Turkiye)

The Devrekani Plateau, located in the Kure Mountains massif (Kastamonu-Türkiye), is a geomorphological unit with flat areas ranging between 1000 and 1300 meters in altitude. Agriculture, animal husbandry, and forestry activities are standard on the plateau. Due to environmental constraints, versatile, holistic, and sustainable land use plans are needed in such high areas. This study examines land use patterns compatible with natural environmental conditions for the Plateau Landforms. Agroforestry-silvopastoral systems where agriculture, pasture, forest lands, and recreational functions are applied together have been evaluated in the study area. Criteria that have a high relationship with land use have been identified. Using Geographic Information Systems, weighted overlay analysis was carried out with factor maps regarding Lithology, Slope, Elevation, and Actual Land Use. The model output reveals that the regions between agriculture and forest are the most suitable for the agroforestry-silvopastoral systems (outside urban areas) and recreation. The most suitable areas for mixed land use plans on the plateau are generally karst areas with sparse vegetation, located above 1200 meters, and having a 6-12% slope. The lower border of these areas is agricultural areas with flat or nearly flat slopes, commonly formed by alluviums. The upper limit consists of forest areas with steep slopes surrounded by high hills. Implementing agroforestry-silvopastoral land use models on plateau landforms can be an effective strategy for sustainable environmental management and land use.

Analysis of Annual Spatiotemporal Variations in Carbon Stock in the Urban Agglomeration of the Middle Yangtze River Basin, China

Terrestrial ecosystem carbon stock (TECS) is critical to socioeconomic development and ecosystem services and is jointly affected by land use and cover and climate change. However, the dynamics of long-term annual TECS levels in urban agglomeration remain largely unknown, and research mostly ignores the spatial heterogeneity of climate factors, compromising sustainable environmental management and land planning strategies. To this end, we integrated field observations of carbon density, land use, and climate factors to map the annual distribution of TECS and analyzed their spatiotemporal variations and policy implications in the urban agglomeration of the middle Yangtze River Basin in China from 1990 to 2020. The results showed that 43,855.47 km2 of the land of the urban agglomeration changed from 1990 to 2020, accounting for 12.54% of the study area. The farmland and forest land area fluctuated and reduced, and the construction land area increased significantly. The increase in construction land was mainly from farmland and forest land. The TECS in urban agglomerations underwent a remarkable change, the overall trend fluctuated downward, and the maximum interannual variation was 1560 Tg. The transfer of construction land, farmland, forest land, shrubs, grassland, and other land mainly caused the change in carbon storage. Due to abnormal climate change, the urban agglomeration in some areas illustrated carbon storage with a spatially aggregated distribution. When considering the impact of climate change on carbon density, the TECS changes of land types other than forest land were found to be consistent with the area change but more significant due to climate change. The research results can provide reference data for regional land management policy formulation and realization of “dual carbon” goals.

Participatory Management of a Mediterranean Lagoon Complex Social-Ecological System Using Intuitionistic Fuzzy TOPSIS

Social-Ecological Systems (SESs) are systems with close linkage between nature and societies. Coastal lagoons are SESs crucial for the ecosystem services (ESs) provided, especially in the Mediterranean Basin, facing threats from anthropogenic activities and climate change. Management strategies focusing solely on ecological elements’ improvement have not yielded the desired outcomes, as they often neglect the needs and perspectives of stakeholders. Participatory approaches promote engagement and awareness to develop sustainable and effective management strategies. Aiming to contribute to the preservation and sustainable management of the Nestos Delta coastal lagoons, a Natura 2000 site in Greece, this study explores the application of intuitionistic fuzzy sets (IFS) to capture the inherent uncertainty in stakeholder opinions against complex environmental challenges. Through this participatory approach, stakeholder perspectives were assessed and quantified to rank management alternatives. Ecological health and economic values were prioritized, endorsing the adoption of natural and soft interventions; conflicts and a knowledge gap regarding non-provisioning ESs were revealed, highlighting the necessity of inclusive consultation processes. This approach offers the potential to facilitate consensus-building and enhance the legitimacy of coastal lagoon management decisions.