Aquatic Sciences最新文献

{"title":"Physicochemical determinants of macrophyte selection by Pomacea canaliculata and the implications for lake restoration","authors":"Yinwei Gao,&nbsp;Jian Gao,&nbsp;Anni Dai,&nbsp;Junzhan Li,&nbsp;Yunfei Zhou,&nbsp;Jiahe Zhu,&nbsp;Kaida Peng,&nbsp;Yachan Ji,&nbsp;Heyun Wang,&nbsp;Mingjun Liao,&nbsp;Zhengwen Liu,&nbsp;Erik Jeppesen","doi":"10.1007/s00027-026-01320-4","DOIUrl":"10.1007/s00027-026-01320-4","url":null,"abstract":"<div><p>The restoration of aquatic macrophytes is a critical component of lake wetland rehabilitation; however, these efforts are increasingly threatened by the spread of the golden apple snail (<i>Pomacea canaliculata</i>). To identify the drivers of its feeding preferences, we evaluated ten common macrophytic species representing multiple growth forms and assessed how their physical and chemical traits, as well as decay-induced changes in texture, influence snail foraging. Although the ten species exhibited no significant differences in carbon (C) content or tissue cohesiveness, they showed significant variation in key chemical attributes (nitrogen, phosphorus, total phenolics, flavonoids, cellulose) and physical properties (hardness, springiness, chewiness, toughness, resilience). These interspecific variations in physicochemical characteristics persisted during decay. The foraging preference of <i>P. canaliculata</i> showed significant negative correlations with macrophyte carbon content, hardness, toughness, and chewiness. RDA further showed that plant traits significantly explained the variation in the apple snail's feeding preference. Moreover, regardless of plant decay state, snail consumption, residence frequency, and selectivity index were consistently higher for submerged macrophytes than for emergent or floating-leaved species. Although preference patterns varied among four submerged taxa, overall feeding on submerged macrophytes remained significantly and consistently higher. Given that the recovery of submerged vegetation is central to lake wetland restoration, our findings highlight a critical management challenge: restoration activities may inadvertently promote the expansion of <i>P. canaliculata</i> populations. These results emphasize the need to integrate proactive snail control measures into macrophyte restoration strategies.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating ecological and machine learning approaches for river health assessment using microalgae in tidal-influenced tropical rivers","authors":"Yusuf Abdullahi,&nbsp;Wan Maznah Wan Omar,&nbsp;Sazlina Salleh,&nbsp;Nor Ashidi Mat Isa,&nbsp;Luthfiana Aprilianita Sari","doi":"10.1007/s00027-026-01323-1","DOIUrl":"10.1007/s00027-026-01323-1","url":null,"abstract":"<div><p>Microalgae are sensitive indicators of aquatic ecosystem health, yet their roles in short tropical rivers under tidal influence remain underexplored. This study aimed to evaluate microalgal distribution, environmental drivers, and machine learning applications for river health assessment in three tidal-influenced rivers in Penang, Malaysia: Sungai Batu Ferringhi, Sungai Tukun, and Sungai Keluang. Ten stations across upstream, midstream, and downstream segments were sampled monthly from August 2023 to July 2024 during spring and neap tide conditions. Overall, 17 water quality parameters were measured, and eight key drivers influencing water quality were identified using principal component analysis. A total of 454 species were recorded, with Bacillariophyta dominating (&gt; 75%). Downstream sites with higher salinity, temperature, and nutrients supported estuarine diatoms (<i>Skeletonema costatum</i> and <i>Cylindrotheca</i> spp.), whereas upstream areas with lower ionic strength and higher dissolved oxygen supported salinity and pollution-sensitive taxa such as <i>Eunotia</i> sp. and <i>Achnanthes</i> sp. Canonical correspondence analysis showed that tidal mixing, salinity, and nutrient gradients explained 88–92% and 95–96% of assemblage variation in the phytoplankton and epilithic algae datasets, respectively. Hierarchical clustering delineated three ecological zones. Six machine learning algorithms were evaluated for phytoplankton and epilithic algae prediction, including artificial neural network (ANN), support vector machine (SVM), decision tree (DT), k-nearest neighbors (KNN), random forest (RF), and extreme gradient boosting (XGBoost). For phytoplankton prediction, ANN, SVM, DT, and KNN achieved comparable accuracies (60%). In the epilithic algae dataset, ANN and SVM performed poorly (33%), whereas RF and XGBoost achieved higher overall accuracies (67%). The results demonstrate that integrating ecological and machine-learning approaches enhances river health assessment and highlights the strong predictive potential of microalgal bioindicators in tropical tidal river systems.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land use influences dissolved organic matter composition in the U.S. Coastal Critical Zone Network","authors":"Aleksandar I. Goranov,&nbsp;Elizabeth V. Whitney,&nbsp;Brian R. Moyer,&nbsp;Katherine L. Tully,&nbsp;Patrick G. Hatcher,&nbsp;Yu-Ping Chin","doi":"10.1007/s00027-026-01311-5","DOIUrl":"10.1007/s00027-026-01311-5","url":null,"abstract":"<div><p>Coastal watersheds are highly productive biogeochemical systems supporting robust coastal fisheries and contributing significantly to the marine gross primary production flux. These ecosystems are comprised of civil infrastructure, farms, forests, and marshes, and their diversity is reflected in the quantity and quality of dissolved organic matter (DOM). Here, we assess the role of farming in influencing DOM from surface waters of six coastal tidal creeks adjacent to forest and farm sites in the US Critical Zone Network. Molecular fingerprinting using electrospray ionization - Fourier transform - ion cyclotron resonance - mass spectrometry revealed that farm-influenced DOM was enriched in nitrogen-, sulfur-, and phosphorus-containing compounds. The concentration of ammonium [NH₄⁺] correlated significantly with nitrogen-containing formulas that could comprise NH₃ adducts, suggesting that NH₄⁺ (e.g., from fertilizer) can be incorporated into DOM through two-electron chemical reaction pathways such as the Michael addition, one-electron reactions such as Fenton oxidation, or biotic pathways. This suggests the use of [NH₄⁺] measurements as a potential approach to parameterize the impact of agriculture on coastal environments. Collectively, these results establish a foundation for future studies in the U.S. Critical Zone Network on how land and water interact. More broadly, our molecular fingerprinting of DOM corroborated with the global observations of elevated concentrations of nitrogen, sulfur, and phosphorus in farm-influenced freshwater DOM, showing that agricultural activities (e.g., annual fertilizer application) can also influence the DOM composition in coastal environments of high salinity and pH.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00027-026-01311-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The recent trophic decline of Lake Pusiano (Northern Italy) assessed by integrated lake-catchment modelling","authors":"Nicolò Pella,&nbsp;Diego Copetti,&nbsp;Claudia Dresti,&nbsp;Michela Rogora,&nbsp;Paolo Dezuanni,&nbsp;Lucia Valsecchi,&nbsp;Fabio Buzzi,&nbsp;Andrea Fenocchi","doi":"10.1007/s00027-026-01321-3","DOIUrl":"10.1007/s00027-026-01321-3","url":null,"abstract":"<div><p>Climate change is altering the status of lake ecosystems, not only through steady water warming but also with increasing frequency, duration and intensity of droughts and heatwaves. These extreme events, especially if concurrent, have relevant effects on moderately deep lakes, triggering severe stratification periods that lead to acute bottom anoxia. Such conditions notably trigger the release of phosphorus from sediments. Moreover, the anoxic volume in the hypolimnion can extend beyond the central basin towards littoral zones, increasing the sediment area contributing to the release and hence enhancing internal nutrient loading. This promotes cyanobacterial blooms that persist throughout the year, supported by warmer winters brought by climate warming. All these phenomena have been observed in Lake Pusiano (Northern Italy), where a prolonged drought between 2021 and 2023 led to a marked decline in water quality, increased phosphorus release from the sediments and extensive cyanobacterial blooms. To better comprehend these dynamics, a modelling approach was applied using three complementary numerical models: (1) a Soil and Water Assessment Tool (SWAT) + eco-hydrological model of the lake watershed was employed to estimate external loading; (2) a one-dimensional (1D) coupled ecological-hydrodynamic WET model of the lake was used to quantify internal loading; (3) a three-dimensional (3D) Delft3D D-Flow lake hydrodynamic model was applied to evaluate the role of the main tributary in mixing dynamics. Model results confirm that the prolonged drought and summer heatwave conditions experienced by Lake Pusiano during 2021–2023 are the ultimate cause of its recent trophic decline, having triggered an enduring regime shift in lake productivity.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00027-026-01321-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal contrast among bacterial, trophic, and biotic indicators in a multi-use coastal protected area","authors":"Pelin Saliha Çiftçi Türetken,&nbsp;Menekşe Didem Demircan Akyasan,&nbsp;Eylül Balcıoğlu,&nbsp;Onur Gönülal,&nbsp;Deniz Devrim Tosun,&nbsp;Bayram Öztürk","doi":"10.1007/s00027-026-01324-0","DOIUrl":"10.1007/s00027-026-01324-0","url":null,"abstract":"<div><p>Monitoring programs in coastal ecosystems commonly combine microbial, trophic, and biotic indicators under the assumption that they provide a consistent picture of environmental status. Yet these indicators reflect processes operating at different temporal scales and may therefore respond differently to human pressures. In this study, we evaluated the responses of bacterial, trophic, and benthic assessment tools in a multi-use coastal protected area in the Eastern Aegean Sea (Karaburun–Ildır Special Environmental Protection Area (SEPA), Türkiye), where tourism and aquaculture coexist. Surface and bottom waters, together with benthic sediments, were sampled seasonally (May and September, 2022–2023) at stations representing aquaculture, tourism, and reference conditions. Bacterial indicators (fecal coliforms and intestinal enterococci) showed significant seasonal and activity-related variation (<i>p</i> &lt; 0.001), reflecting periods of intensified human use. The detection of <i>Salmonella</i> increased during peak activity, pointing to episodic sanitary risks that were not captured by trophic or benthic metrics. By contrast, trophic index (TRIX) values were mainly shaped by seasonal dynamics and did not differ significantly among activity types. Similarly, benthic indices (BEnthic IndeX [BENTIX], MEDiterranean COastal Classifier [MEDOCC], Turkish Biotic Index [TUBI], Shannon diversity) remained relatively stable across space and time. These results indicate a divergence in seasonal responses between rapidly responding microbial indicators and more stable trophic and benthic assessments. The divergence does not imply methodological inconsistency; rather, it reflects the different ecological time scales represented by each indicator group. Our findings highlight the need for monitoring approaches that integrate short-term sanitary signals with longer-term ecological assessments in multi-use coastal systems.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture><span>The alternative text for this image may have been generated using AI.</span></div></div></figure></div></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00027-026-01324-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of bivalves on the zooplankton community and phytoplankton biomass depends on the nutrient level","authors":"Zong’an Jin,&nbsp;Caiwen Zheng,&nbsp;Baoyan Gao,&nbsp;Ren Hu,&nbsp;Irina Feniova,&nbsp;Maciej Karpowicz,&nbsp;Erik Jeppesen,&nbsp;Lars G. Rudstam,&nbsp;Zhengwen Liu,&nbsp;Hui Jin,&nbsp;Xiufeng Zhang","doi":"10.1007/s00027-026-01319-x","DOIUrl":"10.1007/s00027-026-01319-x","url":null,"abstract":"<div><p>Filter-feeding bivalves have been used to control algal blooms in aquatic ecosystems, but their effectiveness in regulating phytoplankton at different nutrient levels remains poorly understood, especially in (sub)tropical lakes. To evaluate the effect of bivalves (<i>Hyriopsis cumingii</i>) on phytoplankton biomass at different nutrient levels, a mesocosm experiment was conducted in nutrient-enriched and non-enriched systems, with and without bivalves. Our results showed that bivalves did not affect phytoplankton biomass (i.e., chlorophyll <i>a</i> (Chl <i>a</i>)) in the non-enriched systems. However, in the nutrient-enriched systems, the presence of bivalves negatively affected total nitrogen, total dissolved nitrogen, Chl <i>a</i> concentration, and the ratio of Chl <i>a</i> to total phosphorus in the water column. Moreover, bivalves significantly altered zooplankton community composition but did not increase zooplankton grazing pressure (indicated by the zooplankton:phytoplankton biomass ratio) in any of the treatments. Our results suggest that the effect of bivalves on the zooplankton community and phytoplankton biomass depends on the nutrient level.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate drivers of thermal dynamics and ecosystem changes in Lake Terra Alta: a moderately deep tropical lake","authors":"Gilberto Fonseca Barroso,&nbsp;Letícia Guerner,&nbsp;Roger Carvalho da Silva,&nbsp;Fábio da Cunha Garcia","doi":"10.1007/s00027-026-01302-6","DOIUrl":"10.1007/s00027-026-01302-6","url":null,"abstract":"<div><p>Lake morphometry and local climate are key drivers of lake thermal regimes, influencing their variability across different geographic and climatic conditions. The thermal stratification and mixing dynamics of Lake Terra Alta (LTA), a moderately deep tropical lake (<i>A</i> = 3.9 km², <i>Z</i>_max = 24.2 m, <i>Z</i>_mv = 9.9 m) located in southeastern Brazil, are discussed in respect to the interannual climate variability and episodic meteorological events in three key ways: (1) droughts and reduced lake levels enhance stratification strength; (2) short-term meteorological events—such as cold fronts, South Atlantic Convergence Zone activity, storms, and heat waves—alter thermal structure; and (3) these dynamics determine the spatiotemporal distribution of dissolved oxygen and phytoplankton biomass. Daily thermal indicators and local climate variables were continuously monitored between June 2014 and May 2018 by using a meteorological station and water temperature loggers mounted on an LTA-moored platform. Monthly profiles of photosynthetically active radiation, dissolved oxygen, chlorophyll, and cyanobacteria density were recorded using a multiparameter sonde. LTA is a warm monomictic system with a relatively low theoretical water retention time of 1.7 years. During the thermally stratified season, the lake develops anoxic bottom waters below the mean depth of 9.4 m, affecting approximately 30% of the lake volume. Maximum metalimnetic chlorophyll and cyanobacteria density occur during this period. The severe 2014/15 drought resulted in a 32.9% reduction in lake volume, culminating in oxygen depletion and a massive fish kill by the end of the 2015/16 stratification season. These findings inform adaptive management and resilience of moderately deep tropical lakes under climate change.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00027-026-01302-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148173658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distribution, abundance and ecological associations among two species of native mussels (Gonidea angulata and Margaritifera falcata) and one invasive clam species (Corbicula fluminea) in the Columbia River Basin, North America","authors":"Nathaniel G. Neal,&nbsp;Stephen M. Bollens,&nbsp;Alexa N. Maine,&nbsp;Timothy D. Counihan,&nbsp;Gretchen Rollwagen-Bollens","doi":"10.1007/s00027-026-01314-2","DOIUrl":"10.1007/s00027-026-01314-2","url":null,"abstract":"<div><p>Native freshwater mussels are declining globally, thus, determining factors associated with bivalve distribution and abundance is critical for native mussel conservation. In the Columbia River Basin, <i>Gonidea angulata</i> (western ridged mussel) is highly threatened, while <i>Margaritifera falcata</i> (western pearlshell) and the invasive clam <i>Corbicula fluminea</i> (Asian clam) are more common. We conducted 147 snorkel surveys, collected environmental data and performed statistical tests to quantify which variables were significantly associated with presence and abundance of these taxa. Variation in <i>G. angulata</i> presence and/or abundance were best explained by impervious surface proportion and annual air temperatures (mean and maximum). <i>Margaritifera falcata</i> presence and/or abundance were best explained by host fish presence, <i>G. angulata</i> presence, dissolved oxygen, and elevation. <i>Corbicula fluminea</i> presence and/or abundance were best explained by substrate size, impervious surface proportion, and annual air temperatures. Microhabitat and landscape variables explained some variation in bivalve presence and abundance, but the inclusion of watershed as a random effect increased the explanatory value. Consideration of species-specific habitat preferences and watershed-level variation could improve regional management in response to native mussel declines and invasive clam expansion.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00027-026-01314-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148009398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trait–environment diagnosis of ecological instability in Korean streams using benthic diatoms and machine learning: a UMAP–CDI framework","authors":"Jun-Ho Lee,&nbsp;Hyo Gyeom Kim,&nbsp;Byeong-Hun Han,&nbsp;In-Hwan Cho,&nbsp;Ha-Kyung Kim,&nbsp;Eun-A. Hwang,&nbsp;Su-Ok Hwang,&nbsp;Baik-Ho Kim","doi":"10.1007/s00027-026-01312-4","DOIUrl":"10.1007/s00027-026-01312-4","url":null,"abstract":"<div><p>This study presents a trait-integrated, multistressor-sensitive bioassessment framework that combines the Community Dynamics Index (CDI) and machine learning-based nonlinear ordination to quantify ecological instability in monsoon-impacted river systems. Using data encompassing benthic diatom species composition of 457 stream sites across five major Korean river basins (2013–2015), CDI values were calculated between pairs of sampling periods to capture both monsoon-related and longer-term community shifts. Among four ordination methods tested, uniform manifold approximation and projection (UMAP) most effectively resolved nonlinear transitions, outperforming principal component analysis (PCA) and nonmetric multidimensional scaling (NMDS) in silhouette width. Random forest modeling identified motility as a dominant predictor for UMAP-based CDI with monsoonal and non-monsoonal variations. Partial dependence plots indicated that changes in motility were strongly associated with variation in CDI during both monsoonal and non-monsoonal periods, with pronounced nonlinear responses across environmental gradients and distinct season-specific patterns. Functional analyses further indicated that this short-term instability was accompanied by a long-term shift from sensitive, low-profile taxa (e.g., <i>Achnanthes</i> spp.) to tolerant, motile taxa (e.g., <i>Nitzschia</i> or <i>Navicula</i> spp.). This integrated CDI–trait–UMAP approach enables scalable, ecologically interpretable, and nonlinearity-resolving assessment of river health. The framework can be extended to support international biomonitoring goals and offer early warning capacity for biodiversity loss under intensifying climatic and anthropogenic stressors.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-media eDNA metabarcoding uncovers habitat-specific fish community and monitoring efficiency: implications for ecosystem management in a river–lake system (Honghu lake basin, China)","authors":"Ge Li,&nbsp;Borui Zou,&nbsp;Cong Wang,&nbsp;Lu Zhang,&nbsp;Xi Liu,&nbsp;Zhi Wang","doi":"10.1007/s00027-026-01313-3","DOIUrl":"10.1007/s00027-026-01313-3","url":null,"abstract":"<div><p>Environmental DNA (eDNA) metabarcoding is widely used for aquatic biodiversity monitoring, but its efficiency across ecosystems and sample types remains to be further evaluated. This study assessed fish diversity using environmental DNA (eDNA) from water and sediment in the river–lake system of China’s Honghu Basin. Our results showed that river water eDNA exhibited the highest species richness (37 species), followed by lake water (17), river sediment (9), and lake sediment (7). Sediment eDNA detected a higher proportion of demersal species than water eDNA in both ecosystems. The river had higher α-diversity and more complex fish communities than lakes. <i>Pseudorasbora parva</i> and <i>Carassius auratus</i> served as key species in the river, whereas <i>Hypophthalmichthys nobilis</i> dominated in the lake. Fish communities in river water were significantly correlated with total phosphorus, whereas those in lake water were primarily associated with turbidity, pH, chlorophyll-a, and dissolved oxygen. These results provide a theoretical basis for optimizing eDNA monitoring and guiding freshwater ecosystem conservation.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture><span>The alternative text for this image may have been generated using AI.</span></div></div></figure></div></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":"88 3","pages":""},"PeriodicalIF":1.8,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}