Limnology and Oceanography: Methods最新文献

{"title":"Resolving acoustic azimuth using an accelerometer-based underwater acoustic vector sensor","authors":"Guosong Zhang,&nbsp;Hefeng Dong,&nbsp;Alessandro Cresci,&nbsp;Howard I. Browman,&nbsp;Geir Pedersen","doi":"10.1002/lom3.10680","DOIUrl":"https://doi.org/10.1002/lom3.10680","url":null,"abstract":"<p>The performance of a single commercial accelerometer-based underwater acoustic vector sensor (AVS) in resolving acoustic azimuth was evaluated. The method involves calculating the active intensity of an acoustic signal to determine the dominant directionality of an acoustic pressure field as a function of time and frequency. While this method efficiently displays azimuth bearings for specific frequencies, there are very few assessments of its performance in resolving all possible bearings using a single AVS. Field experiments were conducted with an AVS placed on the sea bottom and an active source suspended from a research vessel. A 600 Hz signal was transmitted from 16 positions covering a 360° azimuth to the AVS. During the transmissions, the vessel maintained its position and heading by using a dynamic positioning system. The acoustic azimuths were compared with the transmission bearings obtained via Global Positioning System. This study demonstrates that a commercial AVS system can effectively resolve acoustic bearings across a full 360° azimuth at high signal-to-noise ratios using the active intensity method. Our results support the use of AVS systems in research on sound directionality, including bioacoustics studies on how marine organisms respond to natural underwater sound and anthropogenic noise.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 6","pages":"425-437"},"PeriodicalIF":2.1,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fractionation of ultrafine particles from marine sediment for organic geochemical measurement","authors":"Guangjin Zheng,&nbsp;Mengyao Shen,&nbsp;Nan Wang,&nbsp;Yangli Che,&nbsp;Haoshuai Li,&nbsp;Caiqing Yan,&nbsp;Rui Bao","doi":"10.1002/lom3.10676","DOIUrl":"https://doi.org/10.1002/lom3.10676","url":null,"abstract":"<p>In traditional grain-size separation of marine sediment using the sieve technique, the majority of organic matter (OM) in the ultrafine sediment is yet hardly further separated. In this study, we suggest an inertial sieving method that utilizes an ultrafine particle separator (UPS), which consists of a suspended particle generator (SPG) combined with a particle size separating device (PSSD), to separate ultrafine particles from marine sediments. Specifically, our method can fractionate ultrafine particles (&lt; 10 <i>μ</i>m) into eight different grain size categories: 0.43–0.65, 0.65–1.10, 1.10–2.10, 2.10–3.30, 3.30–4.70, 4.70–5.80, 5.80–9.00, and 9.00–10.00 <i>μ</i>m. We evaluate the effectiveness of this method in fractionating ultrafine marine sediment from the China Marginal Sea. Our study find that the inertial sieving method achieved a high mass recovery rate of 77.7–88.7% and a sieving accuracy of 75–94% for sediment samples. Additionally, we measure total organic carbon (OC) and stable carbon isotopes of OM associated with these eight ultrafine sediments. Overall, we suggest that the inertial sieving method has a high potential to effectively fractionate the marine sediments with particle sizes below 10 <i>μ</i>m for further organic geochemical analysis on these grain size fractionated sediments.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 6","pages":"413-424"},"PeriodicalIF":2.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate estimation of photosynthetic available radiation from multispectral downwelling irradiance profiles","authors":"Jaime Pitarch,&nbsp;Edouard Leymarie,&nbsp;Vincenzo Vellucci,&nbsp;Luca Massi,&nbsp;Hervé Claustre,&nbsp;Antoine Poteau,&nbsp;David Antoine,&nbsp;Emanuele Organelli","doi":"10.1002/lom3.10673","DOIUrl":"https://doi.org/10.1002/lom3.10673","url":null,"abstract":"&lt;p&gt;Photosynthetic available radiation (PAR) is the light usable by photosynthetic organisms. Photosynthetic available radiation measurements at depth are required to quantify the light availability for primary production. Direct PAR measurements may be measured with full-spectrum quantum sensors for the range 400 to 700 nm. When spectrally resolved light is measured, as for the downwelling irradiance spectrum &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt;, PAR may be computed by numerically integrating &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt; within those limits. As radiation varies across a spectral continuum, &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt; needs to be resolved at a sufficiently large number of bands, to provide an unbiased PAR estimate. When &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt; is available at a small number of spectral bands, as for multispectral &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt; sensors, it is still possible to numerically integrate &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt;, but the estimation will contain errors. Here, we propose a method that delivers unbiased PAR estimates, based on two-layer neural networks, formulable in a small number of matrix equations, and thus exportable to any software platform. The method was calibrated with a dataset of hyperspectral &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;E&lt;/mi&gt;\u0000 &lt;mi&gt;d&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;&lt;/math&gt; acquired by new types of BioGeoChemical (BGC)-Argo floats deployed in a variety of open ocean locations, representative of a wide range of bio-optical properties. This procedure was repeated for several band configurations, including those existing on multispectral radiometers presently the standard for the BGC-Argo fleet. Validation results against independent data were highly satisfactory, displaying minimal uncertainties across a wide PAR range, with the performance varying as a function of each sensor configuration, overall supporting the operational implementation in the Argo program. Model codes are findable at https://gi","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 4","pages":"261-272"},"PeriodicalIF":2.1,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Picturing plankton: Complementing net-based plankton community assessments with optical imaging across diverse marine environments","authors":"Anouk Ollevier,&nbsp;Jonas Mortelmans,&nbsp;Wieter Boone,&nbsp;Klaas Deneudt,&nbsp;Marleen De Troch,&nbsp;Roeland Develter,&nbsp;Cedric Goossens,&nbsp;Lorenz Meire,&nbsp;Klas Ove Möller,&nbsp;Leandro Ponsoni,&nbsp;Pascal I. Hablützel","doi":"10.1002/lom3.10674","DOIUrl":"https://doi.org/10.1002/lom3.10674","url":null,"abstract":"<p>In recent years, optical imaging has emerged as a promising tool for in situ observations of plankton. In this study, we aimed to compare the plankton community estimates obtained from a Video Plankton Recorder (VPR) imaging device with net-based approaches. By collecting VPR and net samples in clear waters with large-sized plankton and eutrophic waters with small-sized plankton, spatial and temporal patterns in plankton densities and community composition were compared. Furthermore, it allowed the evaluation of the performance of imaging methods under diverse hydrographic conditions. We observed pronounced spatial differences in density estimates. In the eutrophic site, the WP2 net densities consistently surpassed those from a VPR, while in the clear water site the observed densities of the VPR and a MultiNet were more similar. Variations in water column turbidity, plankton body size, plankton nets and their mesh size, and the total sampled water volume were found to likely play a role in the observed inconsistencies between the sampling sites. The results suggested that a VPR is particularly well-suited for use in clear waters inhabited by large-sized plankton. The VPR demonstrated potential in enhancing density estimates of fragile (<i>Phaeocystis</i>) and gelatinous taxa (Cnidaria and Ctenophora) in specific environments being non-invasive. Overall, the VPR and other optical imaging devices show valuable insights into zooplankton ecology and distribution, complementing density estimates of traditional net sampling methods, and enhancing our understanding of the role of zooplankton in marine ecosystems.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 4","pages":"246-260"},"PeriodicalIF":2.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based characterization of underwater methane bubbles using simple dual camera platform","authors":"Yann Marcon,&nbsp;Marie Stetzler,&nbsp;Bénédicte Ferré,&nbsp;Eberhard Kopiske,&nbsp;Gerhard Bohrmann","doi":"10.1002/lom3.10672","DOIUrl":"https://doi.org/10.1002/lom3.10672","url":null,"abstract":"<p>Seabed gas and oil emissions appear as bubble plumes ascending through the water column in various environments. Understanding bubble characteristics—size, rise speed—is important for estimating escape rates of fluids like methane, oil, and carbon dioxide. However, measuring underwater gas bubbles is challenging, often requiring expensive specialized equipment. This study presents a novel methodology using two calibrated consumer-grade cameras to estimate bubble size distribution, rise velocities, and corresponding gas or oil flow rates. Our approach, named BURST (Bubble Rise and Size Tracking), uses a trained neural network for automated bubble detection in diverse camera footage, effectively analyzing under varying lighting conditions and visibility, without requiring a uniform backlit background for bubble identification. Post-detection, bubbles are tracked and synchronized between the cameras, with three-dimensional triangulation used to deduce sizes and rise speeds, enabling flow rate calculations. We demonstrate the efficacy of our methodology through basin experiments capturing methane bubble plumes with controlled flow rates. Additionally, we successfully apply this methodology to existing footage from natural methane emission sites in the Hopendjupet seeps within the central Barents Sea, measuring methane flow rates of approximately 46 and 24 mmol CH₄ min⁻¹ at water depths of 327 and 341 m, respectively. These results underscore the practical applicability of BURST in complex underwater environments without disrupting natural bubble flow. By utilizing readily available equipment, BURST enables reliable bubble measurements in challenging real-world conditions, including the analysis of legacy footage not initially intended for bubble flow rate quantification. The BURST python script is available at https://github.com/BUbbleRST/BURST/.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"155-175"},"PeriodicalIF":2.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10672","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Underwater Zooplankton Enhancement Light Array (UZELA): A technology solution to enhance zooplankton abundance and coral feeding in bleached and non-bleached corals","authors":"Andréa G. Grottoli,&nbsp;Shannon L. Dixon,&nbsp;Ann Marie Hulver,&nbsp;Claire E. Bardin,&nbsp;Claire J. Lewis,&nbsp;Christopher R. Suchocki,&nbsp;R3D Consortium,&nbsp;Robert J. Toonen","doi":"10.1002/lom3.10669","DOIUrl":"https://doi.org/10.1002/lom3.10669","url":null,"abstract":"<p>Coral resilience to heat stress is higher in corals that eat more zooplankton. In addition, coral feeding on zooplankton increases as zooplankton concentrations increase. To leverage the advantage that zooplankton feeding has on coral resilience, we developed the Underwater Zooplankton Enhancement Light Array (UZELA). UZELA is a patented autonomous, submersible, and programmable underwater light that is deployable for 6 months on a single battery. With 1 h of operation per night, it locally concentrates naturally occurring zooplankton, providing corals with greater feeding opportunities. Field tests show that UZELA increases local zooplankton concentrations by sevenfold compared to adjacent non-UZELA controls and coral feeding rates by 10 to 50-fold in both healthy and bleached <i>Montipora capitata</i> and <i>Porites compressa</i> corals compared to conspecifics without UZELA. With the continuing decline of coral reefs, technologies that can enhance coral feeding could play a critical role in coral resilience for coral in restoration nurseries and on the reef.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"201-211"},"PeriodicalIF":2.1,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10669","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inferring microalgae density and net ecosystem production on soft sediments using infrared imaging","authors":"Anthony R. Ives,&nbsp;Emily L. Adler,&nbsp;K. Riley Book,&nbsp;Jamieson C. Botsch,&nbsp;Árni Einarsson,&nbsp;Ian S. Hart,&nbsp;Colin H. Ives,&nbsp;Ian Jin,&nbsp;Amanda R. McCormick,&nbsp;Joseph S. Phillips","doi":"10.1002/lom3.10671","DOIUrl":"https://doi.org/10.1002/lom3.10671","url":null,"abstract":"<p>Measuring microalgae density in soft-sediment benthos has challenges for even the most sophisticated methods. If the goal is to assess the photosynthetic potential of epipelon, then microalgae should be sampled only at the surface of the benthos to the depth of light penetration. Furthermore, microalgae density may show spatial and temporal variability that can only be captured by using many point samples and nondestructive sampling. Here, we use simple near-infrared (NIR) imagery to assess surface density of microalgae in soft underwater sediments and to infer their photosynthetic capacity. In lab studies, NIR imagery gives estimates of epipelon density that are strongly correlated with standard chlorophyll <i>a</i> (Chl <i>a</i>) assays using pigment extraction and fluorometry (<span></span><math>\u0000 <mrow>\u0000 <msubsup>\u0000 <mi>R</mi>\u0000 <mi>adj</mi>\u0000 <mn>2</mn>\u0000 </msubsup>\u0000 </mrow></math>  = 0.70), but NIR imagery is better able to separate experimental treatments. In analyses of sediment samples from a lake, NIR imagery gives estimates of epipelon Chl <i>a</i> density that are strongly correlated to net ecosystem production (NEP). Near-infrared imagery also gives a fine-grained assessment of the spatial distribution of epipelon that helps to explain the relationship between epipelon density and NEP. Finally, images from an underwater NIR camera over the course of a wind disturbance event give estimates of the relative density of microalgae that is buried and is likely to be, at least temporarily, photosynthetically inactive. These results show that NIR imagery provides an easy and nondestructive method for sampling surface densities of microalgae which is particularly suitable for remote field locations and for educational settings in which students can generate results with cheap and robust equipment.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"176-190"},"PeriodicalIF":2.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10671","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and laboratory assessment of a subsea particle image velocimetry system for bubble and turbulence measurements in marine seeps","authors":"Xuchen Ying,&nbsp;Mustahsin Reasad,&nbsp;Binbin Wang","doi":"10.1002/lom3.10670","DOIUrl":"https://doi.org/10.1002/lom3.10670","url":null,"abstract":"<p>We present the development and laboratory evaluation of RPiPIV, an underwater particle image velocimetry (PIV) system controlled by a Raspberry Pi. Designed specifically to measure bubble characteristics and bubble-induced flow in natural hydrocarbon seeps, RPiPIV comprises three primary pressure enclosures, housing a consumer-grade laser for particle illumination, a Gig-E camera for image capture, a Raspberry Pi for system control, and essential supporting electronics for voltage conversion, battery management, and remote connection. Operating on 24–36 V DC power, the RPiPIV system can be deployed tethered onto a remotely operated vehicle or self-contained for extended duration measurements. Comparing the RPiPIV and a laboratory high-speed camera system, we conducted assessments of bubble imaging in a bubble stream and PIV measurements in a water jet, bubble-chain flow, and single-orifice bubble plume. Laboratory assessments revealed that bubble diameter estimates differed by approximately 5%. In PIV measurements, mean axial velocities exhibited differences of approximately 5%, while turbulent normal and shear stresses showed variances within 10–30%. Dissipation rates of turbulence kinetic energy differed by approximately 60%. These findings underscore the system's potential for reliably quantifying complex multiphase flow characteristics in deep-sea environments.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"139-154"},"PeriodicalIF":2.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10670","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Size matters: Perspective and angle-correction improves accuracy in noninvasive image-based body size measurements","authors":"T. Bøhn,&nbsp;E. Watts,&nbsp;R. Primicerio,&nbsp;P. Bjørn,&nbsp;J. F. Strøm","doi":"10.1002/lom3.10667","DOIUrl":"https://doi.org/10.1002/lom3.10667","url":null,"abstract":"<p>River management should secure conservation of biodiversity and sustainable use of aquatic resources. Conservation of fish populations requires time-series data on the number of fish present and the size-structure. The number of fish and species composition can be resolved by video-surveillance, but detailed measurements of body size often come from more intrusive methods such as fish traps and electrofishing that impose additive stress or mortality on individuals. We have developed and tested a nonintrusive method for video-surveillance which enables estimation of fish length, of anadromous Arctic char (<i>Salvelinus alpinus</i>) in a subarctic river. We use pixel counts in images of fish that swim through a tunnel, to measure the size of the fish, and calibrate our measurements with two parallel laser lines (100 mm apart) that are visible on the fish, both from the side and from above, facilitated by a 45° mirror. We demonstrate how the accuracy in body length measurements depends on camera perspective, fish angle, body curvature and swimming speed, and evaluate this with three independent observers. Our results show that the typically used side-view camera (lateral view) underestimated the fish on average by 10.7%, but that accuracy could be significantly improved by including: (1) angle-correction (for non-perpendicular fish positioning), (2) by measuring the fish from above (dorsal view), and (3) by including the body curvature of actively swimming fish. Our method represents a cost-efficient approach for monitoring size-structure in vulnerable populations that is of management concern and where intrusive monitoring should be avoided.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"191-200"},"PeriodicalIF":2.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10667","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying invasion dynamics: Quantitative polymerase chain reaction vs. droplet digital polymerase chain reaction in monitoring the alien invasive bloody-red shrimp Hemimysis anomala and its interaction with perch in Lake Geneva","authors":"Sirine Melliti,&nbsp;Marine Vautier,&nbsp;Cécile Chardon,&nbsp;Stéphan Jacquet","doi":"10.1002/lom3.10666","DOIUrl":"https://doi.org/10.1002/lom3.10666","url":null,"abstract":"<p>Invasive alien species constitute a major threat to aquatic systems due to their potential impact on endemic biodiversity, ecosystem functioning, infrastructure, and possible sanitary issues. It is therefore crucial to obtain information on their presence, abundance, and distribution. The bloody-red shrimp <i>Hemimysis anomala</i>, which originated from the Ponto-Caspian area, has recently settled in Western European lakes, including Lake Geneva. Although divers have frequently reported the presence and development of this small crustacean over the last decade, no monitoring has yet been proposed. During a period of 2.5 yr, we tested and optimized an environmental deoxyribonucleic acid approach by comparing two polymerase chain reaction techniques, quantitative and digital droplet polymerase chain reaction, to assess the presence, abundance, and dynamics of the animal as well as that of a potential predator, the perch (<i>Perca fluviatilis</i>). We show and discuss the efficiency of the methods and reveal for the first time the seasonal dynamics of <i>Hemimysis anomala</i> at a selected site in Lake Geneva. We highlight, in agreement with diving observations, that the animal's abundance is high in winter and declines rapidly in early spring, concomitantly with temperature increase and perch presence.</p>","PeriodicalId":18145,"journal":{"name":"Limnology and Oceanography: Methods","volume":"23 3","pages":"212-222"},"PeriodicalIF":2.1,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}