Search Results (2,191)

Sulfur dioxide not only affects the ecological environment and endangers health but also restricts economic development. The reasonable prediction of sulfur dioxide emissions is beneficial for formulating more comprehensive energy use strategies and guiding social policies. To this end, this article uses a multiparameter combination optimization gray prediction model (PGM(1, N)), which not only defines the difference between the sequences represented by variables but also optimizes the order of all variables. To this end, this article proposes an improved algorithm for the Dung Beetle Optimization (DBO) algorithm, namely, CSLDDBO, to optimize two important parameters in the model, namely, the smoothing generation coefficient and the order of the gray generation operators. In order to overcome the shortcomings of DBO, four improvement strategies have been introduced. Firstly, the use of a chain foraging strategy is introduced to guide the ball-rolling beetle to update its position. Secondly, the rolling foraging strategy is adopted to fully conduct adaptive searches in the search space. Then, learning strategies are adopted to improve the global search capabilities. Finally, based on the idea of differential evolution, the convergence speed of the algorithm was improved, and the ability to escape from local optima was enhanced. The superiority of CSLDDBO was verified on the CEC2022 test set. Finally, the optimized PGM(1, N) model was used to predict China’s sulfur dioxide emissions. From the results, it can be seen that the error of the PGM(1, N) model is the smallest at 0.1117%, and the prediction accuracy is significantly higher than that of other prediction models. Full article

Cover cropping is increasingly recognized as a biodiversity-friendly practice in Mediterranean agriculture. However, its impact on ground-dwelling arthropods in olive groves remains insufficiently studied. This study assesses the effects of two perennial cover crops, tall fescue (Festuca arundinacea) and white clover (Trifolium repens) on the abundance, community composition, and functional diversity of ground-dwelling arthropods in a traditional olive grove in Crete, Greece. From April to September 2023, arthropods were sampled bi-weekly using pitfall traps and classified by taxonomic identity and functional traits, with particular focus on spiders (Araneae) and ground beetles (Carabidae). Cover cropping significantly increased total arthropod abundance compared to a control, with clover favoring omnivores and saprophages, and fescue promoting predatory taxa. Fescue plots exhibited the highest abundance of spiders and carabids, as well as greater carabid species richness and functional diversity. Although spider beta diversity differed across treatments, their functional diversity remained unchanged. Our findings indicate that perennial cover crops, especially fescue, enhance ground predator diversity and may contribute to natural pest regulation in Mediterranean olive groves, offering a sustainable alternative to conventional management. Full article

Oil spills and oily wastewater discharges have posed severe threats to the ecosystem and human health, yet efficient cleanup and recovery remain huge challenges. The absorption of crude oil is especially difficult due to its high viscosity. In this study, we propose a strategy for the fast and highly selective absorption of crude oil as well as other oils and organic solvents with variable viscosity by combining the desert beetle’s back-inspired gradient hydrophobicity with the photothermal effect to enhance the absorption rate. The oil-absorbent material was prepared through the alkylsilane-based gradient chemical modification of MXene-polyurethane sponges. The hydrophobic gradient across the composite sponge offers an extra driving force for the selective oil wetting in the sponge. Owing to the synergistic effect between gradient wettability and photothermal heating, a faster absorption rate, in addition to the high separation rate, was achieved for a variety of oils, including thick crude oil, thin crude oil, and light diesel oil, compared to that without gradient wettability. The as-prepared material is robust with good repeatability for the oil absorption. The surface silane modification was also demonstrated to help prevent the oxidation of MXene, facilitating the long-term stability of the material. This study will enlighten the development of fast and highly selective liquid absorbents. Full article

Cauliflower, a widely cultivated vegetable crop valued for its edible curds, faces a persistent threat from insect pests, which are typically managed using synthetic insecticides. This study evaluated the benefits of intercropping practices as part of an ecological pest management strategy in cauliflower cultivation during the winter seasons of 2017–18 and 2021–22. Nine insect pests belonging to six families of three orders were recorded. The calendula intercropping system (IS) consistently showed the lowest infestation by Plutella xylostella and Pieris brassicae/plant. Calendula IS had attracted the highest numbers of syrphids, Cotesia glomerata, Diaeretiella rapae, Cotesia vestalis, and coccinellids such as Coccinella septempunctata and Cheilomenes sexmaculata. In candytuft IS, a strong tri-trophic interaction between the flower and D. rapae significantly reduced aphid populations, for each additional D. rapae, aphid numbers decreased by 48.53 in 2018. The marigold IS recorded the highest Shannon diversity index in 2021–22. The longest adult survival of C. septempunctata (8.67 ± 3.35 days), in the absence of aphids was recorded on candytuft flowers. The total sugars and protein in flowers positively influenced the longevity of the adult coccinellid beetles (R²-40.42 and 20.79%, respectively). Calendula intercropping yielded the highest revenue return of Indian rupee (₹) 11.33 per INR 1 invested, compared to the cauliflower monocrop (1.58). These findings demonstrate that, intercropping and habitat manipulation can enhance ecological pest control and reduce the dependence on synthetic chemicals. Full article

Organophosphorus pesticides (OPs) pose significant environmental and health risks due to their widespread use and toxicity, primarily by inhibiting acetylcholinesterase. Traditional detection methods are often slow and costly, highlighting the urgent need for advanced, sensitive, and accessible technologies. This study developed a highly sensitive electrochemical cholinesterase-inhibiting biosensor for OP pesticides, utilizing Ti₃C₂T_x MXene Quantum Dots (MQDs), which was synthesized via a hydrothermal method. The biosensor’s performance was characterized using electrochemical impedance spectroscopy, differential pulse voltammetry (DPV), and cyclic voltammetry. DPV proved to be the optimal technique, exhibiting an ultralow detection limit of 1 × 10⁻¹⁷ M and a wide linear range (10⁻¹⁴–10⁻⁸ M) for chlorpyrifos (a model OP) with an estimated inhibition constant of 62 nM. The biosensor demonstrated high selectivity for OPs (chlorpyrifos, acephate, glyphosate) over a non-target pyrethroid (permethrin), confirmed by distinct electrochemical signatures and compared to in vitro cholinergic activity assays in bean beetle homogenates. The enhanced performance is attributed to the high surface-to-volume ratio, quantum confinement effects, and superior conductivity of the MQDs, as well as the robust enzyme immobilization facilitated by glutaraldehyde cross-linking and a chitosan matrix. This work presents a promising platform for rapid, sensitive, and selective detection of OP pesticides, with potential applications in environmental monitoring and public health protection. Full article

The highly diverse group of rove beetles, Staphylinidae, displays a great morphological variety across both adult and larval stages. However, due to the often cryptic habitats of their larvae, comprehensive descriptions of larval morphologies across extant ingroups remain incomplete. Also, the fossil record of rove beetle larvae appears to be sparse to date. We report here 35 newly identified fossil larvae of Staphylinidae from eight pieces of Myanmar Kachin amber, dating to the Cretaceous. Notably, one amber piece preserves three larval syninclusions, while another contains nine adults alongside twenty-six larvae, providing rare evidence of larval–adult co-occurrence in ancient environments. Given the predominantly predatory life cycle of extant rove beetles, the morphological similarities of these fossils to modern groups suggest comparable ecological roles in the Cretaceous, likely involving specialised forward-protruding mandibles adapted for a predatory lifestyle. A morphometric analysis of larvae of Staphylinidae alongside other extant and fossil predatory insect larvae still revealed significant differences between extant and fossil rove beetle larvae. Furthermore, Cretaceous rove beetle larvae differ from Cretaceous lacewing larvae in their head and mandible shape. In the modern fauna, the diversity of lacewing larvae is lower, and some modern rove beetle larvae now occupy areas formerly occupied by lacewing larvae. This result indicates that rove beetle larvae diversified after the Cretaceous, taking over certain ecological functions of lacewing larvae, likely representing a case of ecological substitution. Full article

Progressive climate change has increased the emergence of bark beetle outbreaks, which justifies the need for in-depth research into their response to climatic factors in order to improve forest resource management strategies. A measure of the adaptation of species to changing conditions is provided by the determination of the breadth of their ecological niches. This study proposes a novel, minimally invasive method to estimate the niche breadth of Tomicus piniperda, a representative species in its taxonomic group. EntomologiJcal analyses were carried out on trap trees. The niche of T. piniperda was described by means of stepwise regression, and its niche breadth was found to depend significantly on the bark thickness and gallery density on stems (p < 0.001). The constructed models explained over 80% of the variation in T. piniperda niche breadth on the stems, and the differences between the observed and predicted mean niche breadth were not significant (p > 0.05), with the relative errors for individual trees generally not exceeding 13%. Data on the parameters of niches may be useful in evaluating the possible consequences of changes in climatic factors for organismal fitness, for example, or as a starting point for the construction of models of bark beetle population size. Full article

Phytophagous beetles, particularly those within the superfamilies Chrysomeloidea and Curculionoidea, constitute one of the most diverse and ecologically significant groups of insect herbivores. Within this group, the subfamily Bruchinae is especially notable for its close association with leguminous plant seeds. As most Bruchinae species do not feed during the adult stage, the timing and regulation of vitellogenesis remain unclear. Previous studies suggest that vitellogenesis may be triggered by volatile organic compounds emitted by host seeds, which promote juvenile hormone (JH) synthesis. This increase in JH is hypothesized to stimulate vitellogenesis, enhance female attractiveness, and ultimately facilitate fertilization and oviposition. To explore this hypothesis, we investigated the external cues regulating reproductive physiology in the capital breeder Zabrotes subfasciatus. Specifically, we examined the effects of host seeds and male presence on oviposition dynamics, fecundity, ovary activation, and the expression of vitellogenic genes (vg and vgR) throughout adult life. Our results show that females initiate vitellogenesis during the final phases of adult development, enabling oviposition to begin as early as the first day after emergence. Oviposition remains at basal levels throughout adult life unless both host seeds and males are present (p < 0.0001). This oviposition pattern is consistent with ovary activation dynamics, which reveal that vitellogenesis peaks early in the oviposition period and is prolonged by the presence of seeds and males (p < 0.05). Notably, vg and vgR gene expression respond differentially to these cues (p < 0.05). We integrate our findings with previous literature to propose a working model for the regulation of oviposition in the Bruchinae beetle Z. subfasciatus. Full article

Turfgrass systems in European urban green spaces, including sports fields, golf courses, and residential lawns, must balance high performance with compliance with stricter pesticide regulations. This review examines Synergistic Pest Management (SPM), an advanced form of Integrated Pest Management (IPM) that integrates monitoring, biological, cultural, and targeted chemical strategies for sustainable control of major turfgrass pests. Focus is placed on key insect pests such as Tipula spp. larvae and chafer beetle grubs (Scarabaeidae) and fungal pathogens, including Microdochium nivale, Clarireedia spp., Laetisaria fuciformis, Gaeumannomyces graminis var. avenae, and Colletotrichum spp., which cause significant losses in Central Europe and similar regions. Effective combinations include entomopathogenic nematodes with fungi, endophyte-infected cultivars with optimized mowing and irrigation, and low-dose insecticides paired with biological agents. The review considers how soil conditions, environmental timing, and maintenance practices influence success. Practical tools such as decision-support matrices and a seasonal calendar are provided for regional use. SPM can reduce chemical inputs, enhance biodiversity, and improve turf resilience, but adoption is limited by biological sensitivity, product availability, costs, and technical demands. SPM aligns with EU Directive 2009/128 and offers a pathway to sustainable turfgrass pest management. Future efforts should focus on regional validation, practitioner training, and precision technologies. Full article

Methane concentration anomalies during coal mining operations are identified as important factors triggering major safety accidents. This study aimed to address the key issues of insufficient adaptability of existing detection methods in dynamic and complex underground environments and limited characterization capabilities for non-uniform sampling data. Specifically, an intelligent diagnostic model was proposed by integrating the improved Dung Beetle Optimization Algorithm (SGDBO) with Transformer-SVM. A dual-path feature fusion architecture was innovatively constructed. First, the original sequence length of samples was unified by interpolation algorithms to adapt to deep learning model inputs. Meanwhile, statistical features of samples (such as kurtosis and differential standard deviation) were extracted to deeply characterize local mutation characteristics. Then, the Transformer network was utilized to automatically capture the temporal dependencies of concentration time series. Additionally, the output features were concatenated with manual statistical features and input into the LSSVM classifier to form a complementary enhancement diagnostic mechanism. Sine chaotic mapping initialization and a golden sine search mechanism were integrated into DBO. Subsequently, the SGDBO algorithm was employed to optimize the hyperparameters of the Transformer-LSSVM hybrid model, breaking through the bottleneck of traditional parameter optimization falling into local optima. Experiments reveal that this model can significantly improve the classification accuracy and robustness of anomaly curve discrimination. Furthermore, core technical support can be provided to construct coal mine safety monitoring systems, demonstrating critical practical value for ensuring national energy security production. Full article

The aphid, Aphis gossypii Glover, and the leaf beetle, Lema decempunctata Gebler, are two catastrophic pests affecting the production of the organic goji berry, Lycium barbarum L. Our previous studies have demonstrated that the defense responses of goji berry induced by aphid infestations can facilitate the growth and development of beetles. However, the reciprocal effects of these two insect infestations on aphids remained unclear. In this study, the impacts of these two pest infestations on the development, survival, and reproduction of aphids were examined. Additionally, the levels of plant defense-related hormones, salicylic acid (SA) and jasmonic acid (JA), were measured. Subsequently, host plants were treated with two hormone analogues, 2, 1, 3-benzothiadiazole (BTH) and methyl jasmonate (Me-JA), to identify their effects on aphid development, survival, and reproduction. The results showed that the total developmental duration was accelerated by 33.60%, and the total reproduction of aphids was increased by 82.98% compared to the control after aphid infestation, without influencing survival. In contrast, the beetle infestation did not significantly influence any aspect of the aphid population. The content of SA in plants after the aphid infestation and JA after the beetle infestation increased 19.42 times and 400.50 times, respectively, compared with the control. The total developmental duration of aphids treated with BTH was reduced by 13.44%, while their reproduction increased by 60.52% compared with the control. The total developmental duration of aphids treated with Me-JA was prolonged by 23.51% compared to the control, while survival rates and reproduction were unchanged. Our research elucidates the intricate interspecific relationship between A. gossypii and L. decempunctata, providing valuable insights into the complex interspecific relationship between the two pests and informing effective strategies for their scientific prevention and control. Full article

Global warming is increasing in severity, affecting insects across various biological species. This study investigated the heat resistance ability of the small hive beetle (Aethina tumida) by studying gene expression under heat stress and showed that A. tumida exhibits strong heat resistance and transcriptomic plasticity under heat stress. RNA-seq analysis identified 547, 1127, and 866 differentially expressed genes (DEGs) at 38 °C, 42 °C, and 46 °C, respectively, compared to 25 °C. Among them, 16, 25, and 5 heat shock protein (HSP) genes were differentially expressed under the three heat stress conditions. Specifically, one HSP70 gene (Loc109602670) was consistently upregulated across all temperatures. Furthermore, the lysosome-related pathway was the top enriched pathway under heat treatments, with key genes such as lysosomal aspartic protease-like, cathepsin L1-like, and lipase 3-like significantly upregulated. Overall, these findings suggest that A. tumida exhibits transcriptomic plasticity under sublethal heat stress, and key HSP genes with genes from lysosome pathways are likely to contribute to heat resistance. This study provides novel insights into the molecular basis of thermotolerance in A. tumida, contributing to our understanding of how this invasive pest adapts to high-temperature environments. Full article

This study contributes to the taxonomic research on the tribe Saperdini, focusing on two genera, Paraglenea Bates and Malloderma Lacordaire. A new species, Paraglenea dairanxingorum Lin, You & Wang, sp. nov., is described from Hunan and Hubei Provinces, China. The new species is distinguished by its purplish-blue scales and median long, whitish, erect hairs on whole body. The type specimens were collected primarily using a sweeping net in wooded mountains in Fangziyacun, Madiyixiang, Yuanling County, Huaihua City, Hunan Province, as well as in Wudangshan, Shiyan City, Hubei Province. Although it resembles Malloderma kuegleri Holzschuh, 2010 in hair and scale morphology, it differs in male claw structure, elytral apex and puncture density. Additionally, Paraglenea jianfenglingensis Hua, 1985 is newly combined as Malloderma jianfenglingense (Hua, 1985) comb. nov., with a new distribution record from Guangxi, China. Malloderma pascoei Lacordaire, 1872, is recorded from Myanmar for the first time. Detailed comparisons between P. dairanxingorum Lin, You & Wang, sp. nov. and Malloderma kuegleri Holzschuh, 2010; Malloderma jianfenglingense (Hua, 1985) comb. nov. and Malloderma pascoei Lacordaire, 1872, are provided. Full article

This study aims to address the issues of full-coverage path planning in single fields and optimal traversal order in multi-fields in hilly, mountainous areas. To this end, it proposes a full-coverage path planning method based on an improved DBO algorithm. Using the digital elevation model to construct the farmland model, the energy consumption model is introduced into single-field planning to determine the optimal operating direction angle for full-coverage path planning with optimal energy consumption. To address the issues of the traditional DBO algorithm easily falling into a local optimum and the lack of information interaction among populations, a multi-strategy improved DBO algorithm is proposed to determine the optimal traversal sequence for multiple fields. Tent chaotic mapping is used to initialize the population and the Osprey optimization algorithm and adaptive T-perturbation distribution strategy are integrated to enhance the foraging behavior of small dung beetles. This gives the algorithm good global exploration capabilities in the initial stage and strong local exploitation capabilities in the later stage. The simulation results show that the total energy consumption of energy-optimal path planning is 5.62 × 10⁴ J, which is 19.93% less than the optimal path length. The traversal order solved by the improved DBO algorithm saves 9.2% more energy than the original algorithm, demonstrating a significant energy-saving effect. Full article

Crops of cocoa, avocado, cassava, yam, and maize are of utmost importance to the economy of the Colombian Caribbean, as they serve as the primary source of income for many families. However, establishing these crops requires the replacement of natural ecosystems, with limited understanding of how these areas contribute to biodiversity conservation. This study analyzed the diversity of dung beetles in both transitory and permanent crops within a landscape in San Jacinto, Bolívar, to assess their contribution to the conservation of diversity within this insect group. Dung beetle communities were sampled in permanent crops of avocado and cocoa, transitory crops (cassava, yam, and maize), and a forest fragment. The forest fragment exhibited high levels of species richness, abundance, and diversity regardless of the sampling period; these values were only matched by those of the permanent cocoa crop, and only during the rainy season. Our findings highlight the necessity of preserving forest fragments for biodiversity conservation, while also indicating that certain permanent crops may contribute to this effort. Full article