Search Results (351)

Background/objectives: The emergence of highly pathogenic avian influenza A (H5N1) virus infections in dairy cattle in the United States revealed a novel mammalian host and a potential transmission pathway involving raw milk and dairy production systems. Sustained circulation of H5N1 in dairy herds is of concern because ongoing viral adaptation in mammals may increase the risk of efficient mammalian transmission and subsequent zoonotic spread. In response to this emerging threat, we developed a chimpanzee adenovirus (ChAd)-vectored vaccine expressing the haemagglutinin 5 antigen (H5HA) from the dairy cattle isolate A/dairy cattle/Texas. Methods: Lactating dairy cows were vaccinated by either intramuscular (N = 3) or intranasal administration (N = 3). H5HA clade 2.3.4.4b antibodies in cow’s milk and sera were evaluated by ELISA. Hemagglutination and neutralisation capacity were also evaluated. Results: IgG and IgA H5HA-specific antibodies were detected in serum and milk from parenterally vaccinated animals, demonstrating the induction of a systemic immune response. The neutralising antibody responses elicited were only detected in serum of cows vaccinated via the intramuscular route. Conclusions: These preliminary findings support the feasibility of ChAd-vectored vaccination as a strategy to induce humoral immunity in cattle against emerging H5N1 influenza A viruses. Cross-reactive antibody responses against both A/dairy cattle/Texas/24-008749_001/2024 and A/Ibis/Egypt/RLQP-229S/2022 support the capacity of the vaccine to recognise antigenically related H5N1 clade 2.3.4.4b viruses circulating in mammalian and avian reservoirs. Further studies of vaccine efficacy and the immunological mechanism of protection should now be undertaken with the aim of reducing viral transmission and milk-associated shedding in dairy herds. Full article

Turbidite sandstones of the Chang 6 member and delta-front sandstones of the Chang 8 member in the Yuele Block, southwestern Yishan Slope, Ordos Basin, serve as the primary tight oil reservoirs. In this study, a total of 243 continuous core samples from multiple wells were collected for integrated analyses, including cast thin-section observation, scanning electron microscopy (SEM), X-ray diffraction (XRD) of clay minerals, routine core physical property measurements and mercury intrusion porosimetry (MIP), to systematically compare sedimentary–diagenetic disparities between semi-deep lacustrine turbidites (Chang 6) and delta-front sandstones (Chang 8). Measured data indicate that the two intervals have similar average porosities of 9.27% and 9.88%, while their respective geometric mean permeabilities differ markedly, with values of only 0.142 × 10⁻³ μm² for Chang 6 and 0.260 × 10⁻³ μm² for Chang 8. Micro-pore-throat size and connectivity dominate reservoir fluid flow capacity, and total porosity alone cannot objectively evaluate reservoir quality. Delta-front sandstones of the Chang 8 member are supplied by a proximal magmatic-rich provenance from the southwest, and widespread grain-coating chlorite forms during early diagenesis, effectively mitigating compaction damage and inhibiting quartz overgrowth, leading to well-preserved primary pores. As mixed-provenance deposits lacking protective chlorite rims, Chang 6 turbidites experience more intensive compaction, and abundant fibrous illite and carbonate cements precipitate in the subsequent diagenetic stage to fill and separate pore throats, forming an isolated micropore network. Quantitative comparison with baseline parameters of the Longdong region reveals that the Yuele Block is located closer to the southwestern sediment source, resulting in higher contents of magmatic lithics and chlorite in Chang 8 as well as elevated illite concentrations in Chang 6 relative to regional averages, which verifies that source-to-sink transport distance regulates reservoir quality by driving the differentiation of clay mineral assemblages. A complete quantitative coupling sequence of “provenance supply–authigenic clay mineral-pore evolution” is defined herein, and two distinct sedimentary–diagenetic evolutionary routes are classified: high-quality delta-front reservoirs protected by grain-coating chlorite, and low-quality turbidite reservoirs blocked by illite–carbonate cements. This research refines the diagenetic differentiation rules for continental tight sandstones with diverse sedimentary origins in the Ordos Basin and provides quantitative mineralogical criteria for identifying tight oil sweet spots in proximal provenance blocks. Full article

Filoviruses cause highly lethal infectious diseases with hemorrhagic symptoms and extremely high fatality rate (up to 90%). Although two vaccines against Ebola virus (EBOV) are licensed for application in endemic areas, vaccines against other filoviruses (SUDV, BDBV, MARV) are still at pre-clinical or clinical stages. The development of vaccines requires protective efficacy studies using animal models of infection. However, animal studies using wild-type filoviruses require maximum biosafety level (BSL-4), which hinders filoviral vaccine advancement. In this study, we developed a surrogate animal model of EBOV-, SUDV-, BDBV- and MARV- GP-mediated entry using Ifnar1-knockout (-/-) mice and recombinant vesicular stomatitis viruses (rVSVs), carrying a genetic sequence of filoviral glycoprotein (GP) and pseudotyped with correspondent GP. We showed that rVSV-EBOV-GP was 100% lethal for Ifnar1(-/-) mice after inoculation by multiple routes, and its active propagation was within 24 h post-infection. We performed dose-dependent lethality assessment in small groups to estimate median lethal doses for rVSV-EBOV-GP, rVSV-SUDV-GP, rVSV-BDBV-GP, rVSV-MARV-GP in Ifnar1-knockout mice and showed high viral load in liver and immune cell reservoirs. The developed models contribute to safe and effective research of filoviral vaccines and therapeutic antibodies under BSL-2 conditions. Full article

The Upper Yellow River (UYR) basin is the predominant runoff-yielding area of the entire watershed. Accurately simulating annual runoff is crucial for water resources management. While the Budyko framework effectively captures long-term hydro-thermal equilibrium, it struggles to represent nonlinear dynamics, flow channel routing, and spatial interconnections. Here, we propose a hybrid physics- and data-driven approach by coupling the Budyko framework (Fu’s equation) with an eXtreme Gradient Boosting (XGBoost) model, integrating upstream channel routing and antecedent storage-lag features using long-term hydrologic observations for nonlinear runoff simulation and driver attribution. To resolve the feature multicollinearity on machine learning attributions, input variables were consolidated into three groups: precipitation driven, evaporation limitation, and flow storage lag. The results demonstrate that the Budyko–XGBoost coupled model enhances annual runoff prediction accuracy compared to the standalone Fu equation and pure XGBoost, raising the coefficient of determination (R²) to 0.63–0.86 (mean R² = 0.75) and capturing both nonlinear dynamics and turning points, alongside reductions of 6.2% in the mean RMSE (18.77 mm) and 11.0% in the MAE (13.66 mm) compared to the pure XGBoost model (mean R² = 0.70, RMSE = 20.01 mm, and MAE = 15.35 mm). Group-level SHAP attributions reveal that flow storage-lag drivers (R_lag and $R_{\mathit{lag}}^{\prime }$) exert a primary control on runoff evolution across all the stations. Spatially, secondary drivers exhibit heterogeneity: in relatively humid, energy-limited regions (Maqu), high precipitation promotes positive runoff deviations, whereas in arid/semi-arid, water-limited reaches (e.g., Guide, Xunhua, Xiaochuan, and Lanzhou stations), high precipitation is absorbed by severe soil moisture deficits and reservoir interception, exerting a negative effect on runoff deviation. Full article

Antimicrobial resistance (AMR) is a major One Health challenge driven by antimicrobial misuse in human medicine, veterinary practice, animal production, and polluted environments. Migratory birds move among wetlands, farms, wastewater-affected habitats, landfills, and coastal ecosystems and may acquire and redistribute antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs) across ecological and political boundaries. This perspective synthesizes evidence on exposure sources, bacterial reservoirs, resistance determinants, cross-species interfaces, and surveillance priorities while explicitly distinguishing four claims: detection or carriage, persistence in individual birds, redistribution along migratory routes, and onward transmission to recipient hosts or environments. Published studies report multidrug-resistant Escherichia coli, Klebsiella pneumoniae, Salmonella spp., Enterococcus spp., and Campylobacter spp., with determinants including blaCTX-M, blaTEM, blaNDM, mcr, tet, sul, and qnr genes. The eight evidence groups summarized here constitute an illustrative, non-comprehensive selection; they are predominantly observational surveys or screenings, and none reconstructs a complete source–bird–destination–recipient transmission chain. Taxon-specific ecology modifies exposure: gulls and storks frequently exploit refuse and wastewater, waterfowl and shorebirds connect aquatic habitats, whereas passerines often reflect more local point-source contamination. Current evidence therefore supports migratory birds primarily as mobile sentinels and opportunistic carriers of anthropogenic AMR, while acknowledging possible natural or ancestral resistance in avian-associated microbiota. Future surveillance should combine longitudinal sampling, baseline cohorts such as pre-migratory nestlings, paired bird–water–soil–sediment sampling, whole-genome sequencing, plasmid profiling, telemetry, environmental DNA, wastewater-based epidemiology, and interoperable veterinary reporting. Practical mitigation requires antimicrobial stewardship, wastewater and landfill control, farm biosecurity, and coordinated veterinary, environmental, and public-health action. Full article

Long-lasting, high-strength plugging materials are required for deep profile control in low-permeability fractured reservoirs. In this study, a series of hyperbranched copolymer hydrogels was prepared through an aza-Michael addition-amidation-one-pot end-group coupling strategy. Linear alkylamines were used as cores to synthesize amino-terminated generation 1.0 G broom-shaped hyperbranched macromolecular backbones via a divergent route. The resulting backbones were subsequently crosslinked with linear α,ω-diepoxy-terminated poly(ethylene glycol), affording three structurally well-defined hydrogels, denoted as C2HG, C6HG, and C8HG. Structural and physicochemical characterization showed that all hydrogels possessed interconnected three-dimensional porous networks, good thermal stability, and a lower critical solution temperature of approximately 37 °C. Rheological analysis demonstrated predominantly elastic behavior, with the storage modulus (G′) consistently exceeding the loss modulus (G″), together with pronounced shear-thinning characteristics favorable for injection into deep, low-permeability formations. By varying the alkyl-chain length of the hyperbranched backbone, the balance between environmental tolerance and plugging performance could be effectively regulated. These findings establish a structure–property relationship between backbone hydrophobicity and hydrogel performance and demonstrate that PEG-crosslinked hyperbranched copolymer hydrogels are promising candidates for deep-profile control and water shutoff in high-salinity, low-permeability fractured reservoirs. Full article

As the core water source area of the Middle Route of the South-to-North Water Diversion Project, the Danjiangkou Reservoir Area plays a critical role in regional ecological security and water resource security. Its land use transitions and associated ecosystem service dynamics are examined. Based on land use, ecological sensitivity, and ecosystem service value data from 2000 to 2020, this study employed the FLUS model to simulate four scenarios—natural development, cropland protection, ecological protection, and ecological–cropland synergy—for 2050, systematically revealing the characteristics of land use transition, the coupled evolution of ecological sensitivity and ecosystem service value, and the trade-off mechanisms between ecological security and food security under multiple scenarios. The results show that: (1) From 2000 to 2020, land use in the reservoir area exhibited an ecological transition characterized by “two expansions and three contractions”: forestland and water bodies increased by 764.16 km² and 324.36 km², respectively, while cropland and grassland decreased by 664.33 km² and 547.08 km², the comprehensive index of land use degree declined by approximately 1.0%, indicating continuously weakening development intensity. (2) The overall hierarchical structure of ecological sensitivity improved, with the area of highly sensitive zones decreasing from 5201.60 km² to 3729.91 km²; however, the concentration risk of highly sensitive forestland and the unexpected increase in extremely sensitive cropland persisted. (3) Total ecosystem service value increased from CNY 51.92 billion to CNY 58.35 billion (+12.38%), with hydrological regulation contributing 79.83% of the total increment; regulating services remained the core functional type. Sensitivity analysis indicated that the coefficient of sensitivity (CS) values were below 1, confirming the robustness of the findings. (4) Multi-scenario simulations revealed a rigid ecological–food security trade-off: under natural development, ESV increased by 15.44% but cropland loss reached 1033.29 km²; under cropland protection, ESV decreased by 1.50%, the only scenario with negative ecological outcomes; under ecological protection, ESV increased by 16.59% but with the most severe cropland loss (−1072.98 km²); under ecological–cropland synergy, water bodies expanded the most substantially (+562.75 km²) while cropland loss was the most severe (−1118.19 km²), indicating that the synergy goal was not achieved, as gains in regulating services came at the cost of further provisioning services losses. The study confirms the positive effects of ecological land use transition in the reservoir area, while also highlighting the intensifying conflict between ecological protection and food security against the backdrop of ecological improvement. Full article

Immune checkpoint inhibitors (ICIs) are now being introduced into perioperative treatment for several solid tumors. This strategy is usually explained by tumor reduction before surgery or by the elimination of minimal residual disease (MRD) after surgery. However, these explanations may not be sufficient to understand why the timing of ICI treatment, especially before lymph node (LN) removal, is important. In this review, we discuss tumor-draining lymph nodes (tdLNs) from two different aspects. tdLNs are anatomical routes for regional and distant metastasis, but they are also sites where tumor antigens are presented and tumor-specific T cell responses are generated. In particular, preclinical and translational studies suggest that tdLNs may maintain stem-like or progenitor-exhausted T cells (TPEX) that can respond to PD-1 blockade and supply more differentiated exhausted T cells to tumor sites. However, current clinical trials of perioperative ICIs demonstrate therapeutic benefit in specific diseases and regimens, but do not directly establish tdLN preservation or tdLN-resident TPEX maintenance as the decisive mechanism of efficacy. We therefore present the tdLN-reservoir model as a hypothesis-generating framework rather than as a clinically validated basis for modifying lymph node management. We also discuss the possible roles of neoadjuvant and adjuvant ICI in relation to antigen flow, minimal residual disease, metastatic-site draining LNs, postoperative lymphatic dysfunction, and future immune-guided clinical trials. Importantly, current evidence does not support altering standard lymph node surgery or radiotherapy solely to preserve putative tdLN immune-reservoir function. Full article

Mature waterflood reservoirs contain long injection–production histories, yet routine surveillance remains challenged by delayed producer responses and interference from multiple injectors. Existing diagnostic plots, CRM-type analyses, and data-driven models are useful, but they often require preselected patterns, aggregate long-period behavior, or provide limited event-level traceability. This study presents an event-window evidence-fusion workflow (EWEF) for screening candidate injection–production responses without treating the screened objects as causal proof. EWEF uses material injection-rate perturbations as observational triggers and constructs auditable event-window evidence for candidate injector–producer objects. The workflow includes dynamic-record checking, injection-event extraction, candidate-pair construction, pre/post response-window quantification, lag scanning of oil-rate and water-cut responses, static-prior scoring from geometry and transmissibility proxies, relative multi-injector attribution, and rule-model disagreement routing. A transparent rule layer assigns engineering review classes, and a random-forest model trained on rule-derived weak labels serves only as a consistency-review gate. The workflow was applied to three anonymized field waterflood samples comprising 54 dynamic wells, 153 injection perturbation events, 297 candidate injector–producer evidence objects, and 30 final review-list objects. In the weak-label consistency model, lagged oil-rate correlation, water-cut shift, oil-rate shift, static prior, and water-cut lag correlation were recurrent influential input variables. In one representative event, the six-month post-event window showed that oil rate increased by 5.49 m³/d, whereas water cut decreased by 0.52 percentage points relative to the pre-event baseline. Lag scanning yielded modest correlations, with maximum absolute values of approximately 0.34; these correlations are treated as descriptive screening evidence rather than as statistically confirmed connectivity indicators. EWEF therefore provides a traceable workflow for screening and prioritizing field-review candidates. It does not establish causal interwell connectivity. Confirmation requires independent tracer, pressure, intervention, logging, or simulation evidence, and field-specific calibration remains necessary. Full article

Shallow lakes are vulnerable to multiple anthropogenic stressors. However, the spatial responses of benthic ecosystems to these composite disturbances and the underlying mechanisms driving them remain poorly understood. Nansi Lake is a strategic water-regulating reservoir of the Eastern Route of the South-to-North Water Transfers. It has long been subjected to multiple human activities, and its aquatic ecological environment exhibits pronounced spatial heterogeneity. A systematic assessment is thus needed to evaluate the spatial distribution patterns of surface-sediment diatom communities and their trophic response characteristics. This study integrates the Trophic Diatom Index (TDI) with multivariate statistical approaches. It analyzes the spatial distribution and driving factors of surface-sediment diatom assemblages based on diatom and water quality data from 62 sampling sites. The results reveal three distinct community zones across the lake. The first is a high-disturbance zone dominated by hydraulic regulation and mining activities. In this zone, Stephanodiscus parvus Stoermer & Håkansson is the absolute dominant species, indicating a clear eutrophic status. The second is a hydrochemically stable zone dominated by Achnanthidium minutissimum (Kützing) Czarnecki, exhibiting relatively high community integrity. The third is a vast central open-water zone characterized by the dominance of Pseudostaurosira brevistriata (Grunow) Williams & Round, representing a mesotrophic transitional state. Partial redundancy analysis (pRDA) shows that multiple explanatory variables jointly explain 28.91% of the community variation. The independent explanatory powers of anthropogenic variables (9.12%) and environmental factors (7.94%) are both higher than that of pure spatial dispersal processes (0.35%). Redundancy Analysis (RDA) indicates that different types of human activities—such as reservoir regulation, coal mining, and estuarine inflows—may influence the spatial distribution patterns of surface-sediment diatoms. They do so by jointly driving variations in lake trophic status and the ionic environment, particularly Mg²⁺ and SO₄²⁻. This study provides a scientific basis for the water resource management of shallow lakes subject to anthropogenic impacts. Full article

The trans-Neptunian region (30–50 AU) is a dynamically structured reservoir of icy planetesimals whose orbital architecture reflects resonant dynamics, chaotic transport, and long-term gravitational sculpting by the giant planets. This review synthesizes recent developments in the dynamical investigation of trans-Neptunian objects (TNOs), with an emphasis on mean-motion and secular resonances, as well as chaotic diffusion, in a system whose growing observational census makes it an ideal testbed for chaos detection methods. Classical indicators, including Lyapunov exponents, MEGNO, SALI/GALI, and frequency map analysis, provide the quantitative backbone for mapping TNO phase space and are complemented by modern approaches such as Lagrangian descriptors, the FAIR resonance identification method, entropy-based chaos indicators, and recurrence plot divergence methods. An anomalous diffusion framework, in which mean squared displacement scales as a power law in time, further enables classification of sub- and superdiffusive orbital transport. Machine learning has emerged as a powerful complement to traditional dynamical methods: surrogate classifiers, deep neural network solvers, and hybrid physics–data-driven frameworks together extend reliable prediction horizons in chaotic regimes and open new routes for Bayesian inference of migration scenarios. The review concludes that the most promising path forward lies in hybrid dynamical–statistical frameworks anchored to Hamiltonian dynamics, enabling efficient exploration of high-dimensional parameter spaces informed by the expanding body of trans-Neptunian observations. Full article

Domestic cats (Felis catus) are ubiquitous companion animals that provide substantial psychological and social benefits to children and adults alike, but they also serve as reservoirs and vectors for a wide range of zoonotic pathogens. Close physical contact between cats and children, frequent use of shared environments such as homes, playgrounds, and sandboxes, and still-developing hygiene behaviours increase opportunities for exposure to protozoa, helminths, bacteria, fungi, and ectoparasite-borne agents. This review synthesizes current evidence on key feline-associated zoonoses of pediatric concern—including Toxoplasma gondii, Toxocara cati, Ancylostoma spp., Dipylidium caninum, Bartonella henselae, Salmonella enterica, Campylobacter jejuni, Pasteurella multocida, Microsporum canis, flea-borne Rickettsia species, and rabies—with emphasis on transmission routes, clinical manifestations, and risk modifiers in children, pregnant women, and immunocompromised individuals. Within a One Health framework, we also summarize global publication trends on feline zoonoses, discuss how urban cat ecology and management (including free-ranging cats in child-frequented environments) may shape pediatric risk, and outline practical prevention strategies centred on hygiene, veterinary care, and targeted education for caregivers and children. Full article

Wesselsbron disease remains an underrecognized mosquito-borne flaviviral disease despite long-standing evidence of ruminant reproductive loss, neonatal disease, hepatic pathology, zoonotic infection, and mosquito-associated circulation. This narrative review critically synthesizes verified evidence on Wesselsbron virus (WSLV) at the animal–human–vector–environment interface, with the specific aim of clarifying why the virus should be considered a surveillance-sensitive One Health pathogen rather than a rare veterinary curiosity. The review integrates classical veterinary pathology, experimental infection studies, human case reports, serological and molecular evidence, mosquito surveillance, ecological suitability modelling, diagnostic-development studies, and recent evidence from molecular epidemiology, camel investigations, and digital histopathology. The review uses an evidence-weighted synthesis to distinguish experimentally and pathologically supported animal disease, confirmed but poorly quantified human infection, mosquito-associated detection, ecological suitability, diagnostic under-recognition, and unresolved reservoir or transmission questions before integrating these domains into a qualitative One Health risk-assessment framework. The evidence supports WSLV as a cause of ruminant abortion, neonatal disease, and hepatic lesions, confirms zoonotic potential, and indicates repeated detection in ecologically relevant mosquito and multi-host contexts. However, current data remain insufficient for robust estimates of animal burden, human incidence, reservoir competence, natural route frequency, or climate-driven expansion. WSLV should therefore be incorporated into targeted differential diagnosis, laboratory readiness, and One Health surveillance where ruminant abortion events, unexplained neonatal disease, compatible mosquito ecology, undiagnosed febrile illness, diagnostic ambiguity, or ecological suitability indicate plausible risk. Full article

Salmonella remains one of the most critical zoonotic pathogens in the poultry sector, linked to animal disease, foodborne illness, and the global crisis of antimicrobial resistance (AMR). Poultry acts as a major reservoir, enabling Salmonella transmission from hatchery to retail products through horizontal, vertical, and environmental routes. Despite the use of biosecurity, vaccination, antibiotics, and chemical decontamination, effective and sustainable control across the poultry value chain remains difficult, particularly in the face of rising multidrug-resistant strains and growing consumer concerns over chemical residues. Bacteriophages (phages), viruses that selectively infect and lyse bacteria, have emerged as a promising biological alternative for Salmonella control. Although many studies have reported the effectiveness of phages against bacterial species, including Salmonella, in the poultry industry, reports on their full potential to combat antimicrobial-resistant Salmonella across the entire poultry value chain remain limited. Therefore, this review synthesizes current evidence on the application of phages throughout the poultry value chain, including on-farm interventions, processing plant decontamination, and food packaging and storage. Findings from the reviewed articles indicate over a 90% reduction in Salmonella spp. in poultry farms and post-harvest meat, along with lower mortality in phage-treated groups compared to untreated groups; however, these outcomes depend on several factors (e.g., phage strains, concentrations, application methods, and environmental conditions). Laboratory, pilot, and field studies consistently demonstrate that phage preparations, especially when formulated as cocktails or combined with complementary interventions, can achieve substantial reductions in Salmonella, including antibiotic-resistant serovars, in live birds, eggs, poultry environments, and meat products. Unlike antibiotics and chemical sanitizers, phages act with high specificity, preserving beneficial microbiota and maintaining the sensory and nutritional quality of poultry products. Their safety has been supported by toxicological and genomic assessments, and several phage-based products have obtained regulatory approval, including Generally Recognized as Safe (GRAS) status for food applications in the United States. By integrating efficacy, safety, regulatory, and practical deployment data, this review highlights bacteriophages as a scientifically validated and One Health–aligned tool capable of reducing Salmonella transmission from farm to fork across the poultry value chain, thereby laying the foundation for their future adoption in the poultry industry. Phage-based interventions offer a sustainable pathway to enhance food safety, limit antimicrobial resistance (AMR) dissemination, and strengthen consumer confidence in poultry products. However, the major limitation is the emergence of phage-resistant bacterial strains, as well as the potential involvement of some phages in the transfer of resistance and virulence genes, which could raise public concern. Nevertheless, the use of phage cocktails and whole-genome sequencing, involving tools such as ResFinder and virulence finder, can facilitate the selection of safe phages for application. Full article

Aquatic environments that support tourism, including coasts, lakes, reservoirs, and estuaries, are experiencing accelerating eutrophication worldwide. This trend increases the frequency and intensity of algal blooms. These blooms undermine ecosystem services and weaken the socio-economic performance of destination areas. Despite these challenges, existing research remains fragmented. Aquatic sciences mainly examine nutrient enrichment and bloom dynamics. In contrast, tourism studies often treat blooms as episodic disturbances and rarely integrate exposure pathways, risk communication, or feedback to destination governance. This review synthesizes evidence across freshwater and marine systems to develop a coupled tourism–water ecosystem perspective. We link eutrophication drivers and bloom typologies to three dimensions. These are the degradation of tourism-supporting ecosystem services, compound health stressors, and communication filters. The first includes losses of water clarity and aesthetic value. The second involves multi-route exposure through contact, inhalation, and seafood ingestion. The third shapes perceived safety, trust, and behavioral adaptation. We further connect perceived health risks to observable tourist behaviors, including cancellation, destination substitution, and activity avoidance. These micro-level responses can aggregate into market-level demand contractions and consumption reallocation. They can also trigger regional economic cascades, including public management costs, employment impacts, and long-term reputational damage. Crucially, tourism is not merely a victim of blooms. It can also act as a reinforcing anthropogenic driver through wastewater burdens, infrastructure expansion, and pulse pressures. These pressures lower ecological resilience, especially under warming and hydrological stabilization. Finally, we identify governance leverage points. These include early-warning systems, threshold-based graded interventions, transparent risk communication, and integrated social–ecological modeling. These strategies can reduce uncertainty-driven losses and support adaptive destination management. Overall, this review reframes algal blooms as systemic social–ecological risks. It provides a structured basis for future empirical attribution and policy design in tourism-dependent waters under climate stress. Full article