Search Results (9,857)

The expansion of Eucalyptus plantations has raised concerns about their effects on wildlife, yet the influence of stand-level management on roe deer remains poorly understood. We investigated how plantation management shapes roe deer responses in central Portugal using 375 camera-trap deployments from 2019 and 2020 and four session-specific single-season occupancy models that separated detection probability from site-use probability. Across sessions, stand size was retained mainly in the detection component, indicating that variation in camera-trap sampling coverage influenced detectability more consistently than ecological site use. Support for site-use effects varied among periods, but the strongest result emerged in the 2020 dry season, when site use was lower in reforestation stands than in afforestation stands and temporal responses differed among production regimens. The 2020 wet season also supported a positive effect of time since intervention on site use after accounting for broad spatial structure. By contrast, the 2019 wet season informed detection only, whereas the 2019 dry season showed non-linear relationships weakened by overdispersion and QAICc sensitivity. Overall, our findings indicate that Eucalyptus plantations should not be treated as ecologically uniform systems, because roe deer responses depend on when and how stands are managed, with reforestation representing the most disruptive phase. Full article

Green highway networks function as critical linear carbon sinks for sustainable transportation systems, yet the link between their network topological structure and sequestration efficiency remains poorly understood. This research establishes an integrated framework to explore the spatial synergy and mismatch between green highway network structure and carbon sequestration in Shandong Province. We constructed a spatially explicit “node-edge” network at a road corridor scale (250-m buffer) and quantified seasonal Net Primary Productivity (NPP) using the CASA model. Results demonstrate: (1) The green highway network exhibits a highly heterogeneous, heavy-tailed structure with low clustering coefficients (<0.01), characterized by high connectivity efficiency but limited structural redundancy; (2) The network’s NPP shows pronounced spatiotemporal dynamics, peaking in summer (mean: 364.7 gC · ${\mathrm{m}}^{-2}$· ${\mathrm{season}}^{-1}$) and reaching its nadir in winter (mean: 52.2 gC · ${\mathrm{m}}^{-2}$· ${\mathrm{season}}^{-1}$); (3) Statistically significant spatial synergies ($p<0.01,Z>4.00$) exist between green highway topology and NPP, with weighted closeness ($I=0.29$) and weighted degree ($I=0.21$) showing the highest effect sizes; (4) LISA analysis identified specific spatial mismatches, such as “High-Low” clusters (high structural importance but low carbon efficiency) in northern inland regions, which represent priority targets for ecological retrofitting. These outcomes quantify that network topology effectively reflects ecological performance, offering a “topology-guided” strategy to promote climate change mitigation and enhance the long-term sustainability of regional transportation infrastructure. Full article

Porous vegetated concrete has been widely used in highway slope protection because it provides both engineering stability and ecological restoration benefits. However, its life-cycle carbon emissions and long-term carbon sequestration performance have not been systematically quantified within a unified evaluation framework. In this study, 1 m³ of porous vegetated concrete was adopted as the functional unit, and a life-cycle assessment framework integrating carbon emissions and carbon sequestration was established. The results show that the material production stage is the dominant source of life-cycle carbon emissions, with cement consumption being the primary controlling factor. Under the system boundary and carbon sequestration assumptions adopted in this study, cumulative carbon sequestration over a 50-year service period was estimated to be approximately 470–475 kgCO₂eq. This exceeded the corresponding life-cycle carbon emissions of 73–124 kgCO₂eq and resulted in a net carbon sink potential of approximately 351–397 kgCO₂eq. Based on equal weighting of 28-day shear strength and material production-stage carbon emissions, the efficacy coefficient method identified M2 as the preferred mix proportion for balancing mechanical performance and low-carbon objectives within the selected evaluation framework. Monte Carlo simulation confirmed the statistical stability of the estimated mean carbon emissions during the material production stage. Sensitivity analysis further showed that cement-related emissions and the vegetation carbon sequestration factor were the two most influential parameters affecting life-cycle carbon performance. Overall, this study provides a quantitative basis for evaluating the net carbon sink potential of porous vegetated concrete and offers decision support for low-carbon mix design in highway slope ecological protection engineering. Full article

Non-grain use of cultivated land (NGUCL) in ecologically fragile regions has become a major challenge to food security and land sustainability, yet its spatiotemporal dynamics, spatial spillover effects, and associated factors remain insufficiently understood. Taking Ningxia, China, as a typical semi-arid to arid transition zone, this study developed a phenology-informed framework that combined multi-temporal Landsat imagery, random forest classification, spatial autocorrelation analysis, centroid and standard deviation ellipse models, and a spatial lag model to identify and analyze NGUCL in 2005, 2010, 2015, and 2020. Within the cultivated land boundary, NGUCL was further decomposed into cash crop-cultivated farmland (CCCF) and farmland abandonment (FA). The results show that the classification framework achieved robust performance, with overall accuracies above 85% across the benchmark years. Food-crop mapping reached an OA of 86.38–90.12% and a Kappa of 0.80–0.85, while FA mapping reached an OA of 85.60–86.74% and a Kappa of 0.70–0.72. NGUCL in Ningxia exhibited strong subregional differentiation under the gradients of northern irrigation, central arid, and southern mountainous conditions. CCCF was more closely associated with irrigated and agriculturally productive areas, whereas FA was concentrated in ecologically constrained counties and showed stronger dispersion and migration complexity. Spatial econometric results further indicate significant spatial spillover effects, suggesting that NGUCL-related processes in one county are associated with those in neighboring counties. The effects of natural, socioeconomic, and agricultural production factors also varied by type and period, indicating that NGUCL in ecologically fragile regions is not a homogeneous land-use transition process. By distinguishing CCCF from FA, this study provides a more nuanced interpretation of NGUCL and offers empirical evidence for understanding cultivated land transition and governance in ecologically fragile areas. Full article

Eucalypt plantations have expanded across tropical, subtropical, and temperate regions and now play an important role in the global supply of wood and renewable biomass, while remaining at the center of debates on water use, biodiversity, and socio-economic trade-offs. This review examines whether these plantations can deliver ecological, social, and technological benefits under appropriate management. This review synthesizes evidence from nearly 200 peer-reviewed papers, technical reports, and books covering environmental services, livelihood outcomes, and emerging bio-based applications of Eucalyptus species. The literature shows that well-planned plantations can deliver clear benefits. High biomass production supports carbon sequestration, while improvements in soil structure, nutrient cycling, and the recovery of degraded lands are frequently reported. Effects on water, often described in general terms as negative, vary widely with climate, soils, stand age, and previous land use, and are documented to play roles in biodrainage, salinity control, erosion reduction, and local microclimate regulation under suitable conditions. From a socio-economic perspective, Eucalyptus, a widely planted species, supports rural development by generating income, strengthening value chains for wood products and bioenergy, and offering smallholders a fast-growing resource. Technological work on materials and bioproducts, including nanocellulose, essential-oil formulations, biochar-based applications, and wood vinegar, further illustrates this versatility. Overall, while outcomes remain site-specific and dependent on governance, the evidence indicates that, under science-based management and careful landscape planning, eucalypt plantations can contribute to climate mitigation, rural livelihoods, and the circular bioeconomy. Full article

Medicinal plants grown outside their native forest habitat may produce phytochemical profiles that differ from wild-harvested material, yet the ecological mechanisms underlying these differences remain poorly synthesized across disciplines. This review proposes that the forest understory functions as a multi-signal elicitation system in which canopy light filtering, arbuscular mycorrhizal fungi (AMF), and above-ground biotic interactions collectively shape secondary metabolite profiles. AMF-mediated induced systemic resistance and above-ground biotic interactions operate through confirmed jasmonate-mediated pathways. Sunfleck-driven reactive oxygen species signaling is hypothesized but untested, and the red-to-far-red ratio modulated phytochrome B pathway characterized in Arabidopsis remains unconfirmed in shade-tolerant species. Using three saponin-rich medicinal plants (Panax vietnamensis, Panex quinquefolius, and Paris polyphylla) as case studies, we formalize this as a testable chemical terroir hypothesis with three falsifiable predictions. We also translate it into an ecological co-cultivation design principle with three production levels and a two-step operational framework, and identify priority experiments, analytical methods, and implementation challenges needed for validation. These contributions bridge forest ecology and medicinal plant science while identifying critical evidence gaps requiring resolution before field implementation. Full article

Environmental biofilms are persistent structural components of livestock production systems and represent under-recognized drivers of pathogen persistence and antimicrobial resistance (AMR). This review examines the engineering, ecological, and operational factors that promote biofilm formation in dairy, poultry, and swine environments, with emphasis on drinking water distribution systems, feeding infrastructure, housing surfaces, and waste channels. Biofilms develop preferentially in low-shear zones, dead ends, and aging materials, where they enhance microbial tolerance to sanitation and facilitate horizontal gene transfer. Conventional monitoring approaches, largely based on planktonic sampling and single-time-point testing, underestimate attached biomass and fail to capture spatial heterogeneity. Although molecular and sensor-based technologies provide improved resolution, their farm-level implementation remains limited by cost, standardization challenges, and the absence of validated operational thresholds. Current EU surveillance frameworks focus primarily on antimicrobial use and resistance prevalence in animal isolates, while environmental compartments are rarely incorporated as monitored system elements. This review proposes a proportionate, risk-based approach that integrates existing farm data streams such as antimicrobial use metrics and biosecurity scoring systems with targeted environmental assessment of high-risk infrastructure. Mitigation strategies emphasize mechanical disruption, combined chemical sanitation, hydraulic optimization, material selection, and infrastructure lifecycle management. Embedding environmental biofilm control within existing engineering and stewardship frameworks supports more resilient, systems-based management of infectious and AMR risks in livestock production. Full article

ASP flooding wastewater contains crude oil, suspended solids, anionic polymers and surfactants, with high viscosity, high zeta potential, difficult demulsification, flocculation and slow separation and sedimentation. In order to solve the problem of wastewater treatment of ASP flooding in oil fields, a magnetic branched core was prepared from ethyl silicate (TEOS), nano Fe₃O₄ and aminopropyl triethoxysilane (APTES), and then reacted with polyamine and methyl acrylate to synthesize the magnetic hyperbranched molecule FSNMN with demulsification ability. Using acrylamide (AM), acryloxyethyl trimethylammonium chloride (DAC) and maleic anhydride (MA) as raw materials, cationic polymer long chain (CAMHA) with flocculating properties was synthesized and grafted with hyperbranched molecules. The demulsification flocculation ability of the product regarding ASP flooding wastewater was evaluated, and the demulsification flocculation mechanism was summarized. The results showed that the average molecular weight of 3-FSNMN₄-C was 4.7 million, the cationic degree was 20.5%, and the saturation magnetization was 20 EMU/g. The removal rate of oil and suspended solids was 93.82% and 91.95% respectively when the simulated sewage was treated by magnetic field for 30 min. Magnetic hyperbranched star chain polymer provides a solution to the serious ecological environment problems caused by ASP flooding. Full article

The ecological restoration of degraded sandy land in the Yarlung Zangbo River Valley is constrained by the metabolic functions of soil microorganisms. This study investigates the dynamic mechanisms of microbial elemental use efficiency in walnut plantations, with a focus on seasonal variations in soil chemical stoichiometry, extracellular enzyme activity, and microbial nutrient efficiency in rhizosphere and bulk soils. This paper explores the effects of conventional organic fertilizer (CF) and organic–inorganic compound fertilizer (OIF) on microbial nutrient use strategies and their seasonal dynamics. The results showed significant seasonal fluctuations in soil active nutrients and microbial biomass, while the total nutrient content remained stable. OIF enhanced microbial chemical stoichiometric homeostasis but simultaneously triggered a “carbon–phosphorus metabolic trade-off”, leading to a restraint of microbial carbon use efficiency (CUE) during the growing season. Microbial elemental use efficiency (EUE) exhibited clear seasonal differentiation: CUE was higher in summer, promoting biomass accumulation, whereas NUE and PUE increased in winter and spring, reflecting a nutrient conservation strategy. The EUE pathways were decoupled between rhizosphere and non-rhizosphere microenvironments. The rhizosphere was more directly driven by soil chemical stoichiometry and microbial biomass, while the non-rhizosphere was influenced by nutrient limitation states, represented by vector characteristics. This study provides insights into the seasonal adaptability and microenvironmental heterogeneity of microbial metabolism during the restoration of cold sandy land. It is suggested that future ecological management should focus on N-P balanced fertilization and consider the differential responses between rhizosphere and non-rhizosphere zones to enhance ecosystem productivity and soil carbon, nitrogen, and phosphorus sequestration potential. Full article

Hippophae gyantsensis Lian is an important native tree species in the “One River, Two Streams” valley of Tibet, valued for its ecological restoration potential and nutrient-rich fruits. However, this species has several limitations, including a long fruiting cycle (3–5 years to flowering and 10–15 years to reach peak fruit production), small fruit size, and numerous branch thorns. These traits hinder large-scale cultivation and mechanized harvesting, creating an urgent need for improved varieties with larger fruit and higher yield. In this study, we established an efficient Agrobacterium-mediated genetic transformation system for H. gyantsensis using hypocotyls as explants. Under optimized conditions (OD₆₀₀ = 0.5, AS = 200 μmol/L, infection time = 15 min), the transformation efficiency reached 36.67% (calculated as the number of PCR-positive plants divided by the total number of explants initially inoculated with Agrobacterium). A rooting rate of 12.5% was achieved using 100 mg/L rooting powder (ABT1) for 40 min, resulting in an overall success rate of approximately 4–5%. Furthermore, we identified and cloned two fruit-size-related genes, Hgfw2.2 and Hgfw3.2, from H. gyantsensis. Heterologous expression of Hgfw2.2 and Hgfw3.2 in tomato decreased and increased fruit size, respectively, consistent with their regulatory roles in fruit development. Given the positive regulatory effect of Hgfw3.2, this gene was further transformed into H. gyantsensis. This study represents the first report of a stable genetic transformation platform for H. gyantsensis, providing a robust technical foundation for future molecular breeding and the development of improved, large-fruited varieties. Full article

The accelerating climate crisis and resource depletion demand new architectural paradigms that move beyond linear models of production and consumption. While the concept of Intelligent Ecologies is often associated with digital and artificial intelligence systems, this study reinterprets it through the lens of Traditional Ecological Knowledge (TEK), vernacular architecture, and constraint-based innovation. Grounded in a critical reading of key references in ecological knowledge, vernacular studies, circular economy theory, and responsible innovation, the paper develops a conceptual framework tracing a trajectory from TEK to adaptive and circular design. Two architectural case studies, the ARCò kindergarten in Sant’Alessio (biological cycle) and the Parabase Elementa housing project in Basel (technical cycle), are analysed to demonstrate how natural and collective intelligence can be operationalised in contemporary practice. The findings show that circularity emerges not as an added sustainability layer but as the logical outcome of design under ecological and material constraints. The study concludes that Intelligent Ecologies should be understood as socio-ecological systems in which architecture participates in living processes through adaptive, regenerative, and temporally open strategies, thereby repositioning innovation as continuity with historically embedded forms of ecological intelligence rather than technological rupture. Full article

One of the fundamental recommendations for sustainable agricultural practices is protecting soil biodiversity by increasing the use of organic fertilizers and substrates. According to EU regulations, certain animal by-products (including horn shavings) may be used as crop fertilizers; however, insufficient information is available on the impact of this fertilizer substrate on the soil environment. This study was conducted to determine the effects of annual soil application of horn shavings on selected characteristics of Lumbricidae communities and physicochemical properties of the soil. Experimental plots had the following treatments of cattle horn shavings (CHS): CHS100 (100%; 1.3 t·ha⁻¹; equivalent to 161 kg N/ha), CHS75 (75%; 0.98 t·ha⁻¹), CHS50 (50%; 0.65 t·ha⁻¹), and SL (control without fertilization). After 2 years of application, an electrical method was used to collect earthworms over the following 3 years. Earthworms found belonged to five species representing three ecological groups: Dendrobaena octaedra, Dendrodrilus rubidus tenuis, Lumbricus rubellus, Aporrectodea caliginosa, and Lumbricus terrestris. Significantly higher values of earthworm metrics were demonstrated between the plot with the highest fertilization (CHS100) and the plots with lower horn shavings additions (abundance: CHS100 > CHS75 and CHS50 by a mean of 43.2%; biomass: CHS100 > CHS75 and CHS50 by a mean of 43%). Species richness was not affected but an increase in CHS application led to a greater biodiversity index. CHS treatments affected selected soil parameters to varying degrees, with soil moisture having the greatest influence on the given earthworm traits. Cattle horn shavings used as a fertilizer are a positive promoter of earthworms in soils and further research in this area may be warranted. Full article

Against the backdrop of increasingly stringent natural forest protection and comprehensive logging bans, forest-dependent regions confront structural constraints between ecological conservation and economic development, necessitating the exploration of alternative livelihood pathways and collaborative governance mechanisms. As a cross-regional institutional synergy arrangement, the “Poverty-Relief Enclave” model integrates factor resources and industrial platforms, thereby offering a new trajectory for income source transformation and industrial succession in forest areas. However, its operational process entails multi-agent interactions and complex incentive and constraint relationships, and the stability of cooperation still warrants systematic investigation. In light of this, this paper constructs a quadripartite evolutionary game model encompassing the host government, the home government, the forest region industrial alliance, and the village collective. Within a bounded rationality and dynamic evolutionary framework, it analyzes the multi-agent strategic evolution process and its stability conditions. The findings reveal that the “Poverty-Relief Enclave” model in forest regions does not spontaneously converge to a high-level cooperative state; rather, three types of stable equilibria may emerge under varying cost–benefit structures and institutional incentives. An ideal state of multi-agent synergy is attainable only under conditions of incentive compatibility. Coordinated supervision by both governments, incentives for high-quality production by industrial entities, and guaranteed participation of village collectives are identified as pivotal factors shaping cooperation stability. The cross-regional institutional arrangement facilitating the “outward shift of income sources” helps alleviate pressure on direct forest resource utilization and fortifies the institutional enforcement foundation through grassroots participation mechanisms. From the perspectives of forest governance and multi-agent collaboration, this study unveils the intrinsic operating mechanism of the “Poverty-Relief Enclave” model in forest regions, thereby furnishing a theoretical underpinning for sustainable transformation and institutional innovation in forest-dependent areas. Full article

Tree root-system architecture is vital for forest resilience under rising climate stress, yet techniques like excavation are destructive, slow, and unsuitable for large surveys. We evaluated how Scots pine (Pinus sylvestris) root architecture varies across contrasting environments using non-invasive, high-resolution multichannel ground-penetrating radar (GPR). Plots in the Olkusz Forest District (southern Poland) spanned gradients of soil fertility and stand age. A multichannel radar array produced 3D subsurface volumes, from which two traits were derived: the 2D planar root extent and the 3D rooting-envelope volume. Generalized additive models linked these metrics to site, stand, and tree characteristics. Multichannel GPR revealed clear site-driven differences in root structure and delivered markedly better data quality than single-channel systems. Selective excavation of visible roots confirmed close agreement between radar estimates and true root positions. Root architecture shifted along the fertility gradient and depended strongly on tree size, stand density, and age: rooting volume increased with site productivity and diameter at breast height but declined with stand age and relative spacing. Overall, Scots pine shows strong adaptive plasticity, and multichannel GPR provides a powerful way to integrate below-ground traits into monitoring, modeling, and climate-smart forest management. Full article

Poplar (Populus) trees are indispensable to various industries and environmental sustainability efforts. They are widely utilized for paper production, timber, and windbreaks, while also playing a significant role in carbon sequestration. Given their economic and ecological importance, the effective management of diseases is crucial. Convolutional Neural Networks (CNNs), renowned for their ability to process visual data, are pivotal in accurately detecting and classifying plant diseases. This study presents a domain-specific dataset of manually collected images of diseased poplar leaves from Uzbekistan and South Korea, ensuring geographic diversity and broader applicability. The dataset includes four disease classes, i.e., “Parsha (Scab),” “Brown spotting,” “White-Gray spotting,” and “Rust,” which represent common afflictions in these regions. To advance research efforts, this dataset will be made publicly accessible, providing a valuable resource for the scientific community. Leveraging the cutting-edge YOLOv9c model, a state-of-the-art CNN architecture, we applied the Histogram Equalization technique as a preprocessing step to enhance the image quality to increase the accuracy of disease detection. This method not only improves the diagnostic performance of the model but also provides a scalable solution for monitoring and managing poplar diseases. By ensuring the health of poplar trees, this approach supports the sustainability of these critical resources. To our knowledge, this is the first publicly available dataset specifically focused on diseased poplar leaves, making it a significant contribution to global research efforts. It offers an invaluable resource for researchers and practitioners, enabling further advancements in early disease detection and sustainable forestry management. Full article