Skip to content

Jaffe Laboratory for Underwater Imaging

  • Home
  • People
  • Publications
  • Current Research
    • Scripps Plankton Camera System
      • Plankton Net Camera
      • Automated Classification
      • SPC-DUAL
      • SPC NOAA Fisheries
      • SPC Prince William Sound Science Center
    • The Benthic Underwater Microscope imaging-PAM (BUMP)
    • Smart Underwater Imaging Telemeter (SUIT)
    • Autonomous Underwater Explorers
  • Past Research
    • Benthic Underwater Microscope
    • Fish T.V.
    • Keck In Situ Underwater Microscope
    • LBath
    • LUMIS2
    • Open Source Nano AUV
    • Omnicam
    • Sub-micron Particle Sizing
    • Thin Laser Sheet Microscopy
    • Underwater Imaging LiDAR
    • Virtual Copepod Page
      • Virtual Copepod Page Videos and Animations
    • VRMacroscope
    • ZOOPS
  • Contact

SPCs Back Online

April 23, 2020 by Devin Ratelle

We are pleased to report that the SPCs are back online! Images can once again be browsed through the online viewer, and the site is being updated with images currently being collected on the pier. Additionally, the biofouling that had been obscuring the camera ports was cleaned in a maintenance dive last week.

Categories Uncategorized
SPCs Under Maintenance
Paper on Prince William Sound SPC in ICES Journal of Marine Science
Nauplii

The Scripps Plankton Cam Image Viewer is temporarily offline for updates.

It will be back up this summer!

For those still craving plankton images, check out our buddies at Eawag and their Plankton Camera.

Recent Publications

2022

Jaffe, Jules S.

Non-invasive estimation of coral polyp volume and surface area using optical coherence tomography Journal Article

In: Frontiers in Marine Science, vol. 9, 2022, ISSN: 2296-7745.

Abstract | Links | BibTeX

@article{Jaffe2022,

title = {Non-invasive estimation of coral polyp volume and surface area using optical coherence tomography},

author = {Jaffe, Jules S.},

editor = {Jian Sheng},

url = {https://doi.org/10.3389/fmars.2022.1049440},

doi = {10.3389/fmars.2022.1049440},

issn = {2296-7745},

year  = {2022},

date = {2022-12-12},

urldate = {2022-12-12},

journal = {Frontiers in Marine Science},

volume = {9},

abstract = {The surface area (SA) and three-dimensional (3D) morphology of reef-building corals are central to their physiology. A challenge for the estimation of coral SA has been to meet the required spatial resolution as well as the capability to preserve the soft tissue in its native state during measurements. Optical Coherence Tomography (OCT) has been used to quantify the 3D microstructure of coral tissues and skeletons with nearly micron-scale resolution. Here, we develop a non-invasive method to quantify surface area and volume of single coral polyps. A coral fragment with several coral polyps as well as calibration targets of known areal extent are scanned with an OCT system. This produces a 3D matrix of optical backscatter that is analyzed with computer algorithms to detect refractive index mismatches between physical boundaries between the coral and the immersed water. The algorithms make use of a normalization of the depth dependent scatter intensity and signal attenuation as well as region filling to depict the interface between the coral soft tissue and the water. Feasibility of results is judged by inspection as well as by applying algorithms to hard spheres and fish eggs whose volume and SA can be estimated analytically. The method produces surface area estimates in calibrated targets that are consistent with analytic estimates within 93%. The appearance of the coral polyp surfaces is consistent with visual inspection that permits standard programs to visualize both point clouds and 3-D meshes. The method produces the 3-D definition of coral tissue and skeleton at a resolution close to 10 µm, enabling robust quantification of polyp volume to surface area ratios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

The surface area (SA) and three-dimensional (3D) morphology of reef-building corals are central to their physiology. A challenge for the estimation of coral SA has been to meet the required spatial resolution as well as the capability to preserve the soft tissue in its native state during measurements. Optical Coherence Tomography (OCT) has been used to quantify the 3D microstructure of coral tissues and skeletons with nearly micron-scale resolution. Here, we develop a non-invasive method to quantify surface area and volume of single coral polyps. A coral fragment with several coral polyps as well as calibration targets of known areal extent are scanned with an OCT system. This produces a 3D matrix of optical backscatter that is analyzed with computer algorithms to detect refractive index mismatches between physical boundaries between the coral and the immersed water. The algorithms make use of a normalization of the depth dependent scatter intensity and signal attenuation as well as region filling to depict the interface between the coral soft tissue and the water. Feasibility of results is judged by inspection as well as by applying algorithms to hard spheres and fish eggs whose volume and SA can be estimated analytically. The method produces surface area estimates in calibrated targets that are consistent with analytic estimates within 93%. The appearance of the coral polyp surfaces is consistent with visual inspection that permits standard programs to visualize both point clouds and 3-D meshes. The method produces the 3-D definition of coral tissue and skeleton at a resolution close to 10 µm, enabling robust quantification of polyp volume to surface area ratios.

Close

  • https://doi.org/10.3389/fmars.2022.1049440
  • doi:10.3389/fmars.2022.1049440

Close

Kevin T. Le, et al

Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System Journal Article

In: Frontiers in Marine Science, vol. 9, 2022, ISBN: 2296-7745.

Abstract | Links | BibTeX

@article{Le2022b,

title = {Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System},

author = {Le, Kevin T., et al},

editor = {Mark C. Benfield},

url = {https://www.frontiersin.org/article/10.3389/fmars.2022.869088},

doi = {10.3389/fmars.2022.869088},

isbn = {2296-7745},

year  = {2022},

date = {2022-06-10},

urldate = {2022-06-10},

journal = {Frontiers in Marine Science},

volume = {9},

abstract = {To understand ocean health, it is crucial to monitor photosynthetic marine plankton – the microorganisms that form the base of the marine food web and are responsible for the uptake of atmospheric carbon. With the recent development of in situ microscopes that can acquire vast numbers of images of these organisms, the use of deep learning methods to taxonomically identify them has come to the forefront. Given this, two questions arise: 1) How well do deep learning methods such as Convolutional Neural Networks (CNNs) identify these marine organisms using data from in situ microscopes? 2) How well do CNN-derived estimates of abundance agree with established net and bottle-based sampling? Here, using images collected by the in situ Scripps Plankton Camera (SPC) system, we trained a CNN to recognize 9 species of phytoplankton, some of which are associated with Harmful Algal Blooms (HABs). The CNNs evaluated on 26 independent natural samples collected at Scripps Pier achieved an averaged accuracy of 92%, with 7 of 10 target categories above 85%. To compare abundance estimates, we fit a linear model between the number of organisms of each species counted in a known volume in the lab, with the number of organisms collected by the in situ microscope sampling at the same time. The linear fit between lab and in situ counts of several of the most abundant key HAB species suggests that, in the case of dinoflagellates, there is good correspondence between the two methods. As one advantage of our method, given the excellent correlation between lab counts and in situ microscope counts for key species, the methodology proposed here provides a way to estimate an equivalent volume in which the employed microscope can identify in-focus organisms and obtain statistically robust estimates of abundance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

To understand ocean health, it is crucial to monitor photosynthetic marine plankton – the microorganisms that form the base of the marine food web and are responsible for the uptake of atmospheric carbon. With the recent development of in situ microscopes that can acquire vast numbers of images of these organisms, the use of deep learning methods to taxonomically identify them has come to the forefront. Given this, two questions arise: 1) How well do deep learning methods such as Convolutional Neural Networks (CNNs) identify these marine organisms using data from in situ microscopes? 2) How well do CNN-derived estimates of abundance agree with established net and bottle-based sampling? Here, using images collected by the in situ Scripps Plankton Camera (SPC) system, we trained a CNN to recognize 9 species of phytoplankton, some of which are associated with Harmful Algal Blooms (HABs). The CNNs evaluated on 26 independent natural samples collected at Scripps Pier achieved an averaged accuracy of 92%, with 7 of 10 target categories above 85%. To compare abundance estimates, we fit a linear model between the number of organisms of each species counted in a known volume in the lab, with the number of organisms collected by the in situ microscope sampling at the same time. The linear fit between lab and in situ counts of several of the most abundant key HAB species suggests that, in the case of dinoflagellates, there is good correspondence between the two methods. As one advantage of our method, given the excellent correlation between lab counts and in situ microscope counts for key species, the methodology proposed here provides a way to estimate an equivalent volume in which the employed microscope can identify in-focus organisms and obtain statistically robust estimates of abundance.

Close

  • https://www.frontiersin.org/article/10.3389/fmars.2022.869088
  • doi:10.3389/fmars.2022.869088

Close

Lindemann Yoav Ben-Zvi Or, Eyal Gal

Coral fluorescence: a prey-lure in deep habitats Journal Article

In: Communications Biology, vol. 5, iss. 1, no. 5, 2022, ISSN: 2399-3642.

Abstract | Links | BibTeX

@article{Or2022,

title = {Coral fluorescence: a prey-lure in deep habitats},

author = {Ben-Zvi Or, Lindemann Yoav, Eyal Gal, Loya Yossi},

editor = {Anam Akhtar and Christina Karlsson Rosenthal},

url = {https://doi.org/10.1038/s42003-022-03460-3},

doi = {10.1038/s42003-022-03460-3},

issn = {2399-3642},

year  = {2022},

date = {2022-06-02},

journal = {Communications Biology},

volume = {5},

number = {5},

issue = {1},

abstract = {Fluorescence is highly prevalent in reef-building corals, nevertheless its biological role is still under ongoing debate. This feature of corals was previously suggested to primarily screen harmful radiation or facilitate coral photosynthesis. In mesophotic coral ecosystems (MCEs; 30-150 m depth) corals experience a limited, blue-shifted light environment. Consequently, in contrast to their shallow conspecifics, they might not be able to rely on photosynthates from their photosymbionts as their main energy source. Here, we experimentally test an alternative hypothesis for coral fluorescence: a prey-lure mechanism for plankton. We show that plankton exhibit preferential swimming towards green fluorescent cues and that compared to other morphs, higher predation rates are recorded in a green fluorescing morph of the mesophotic coral Euphyllia paradivisa. The evidence provided here - that plankton are actively attracted to fluorescent signals - indicates the significant role of fluorescence in amplifying the nutritional sink adjacent to coral reefs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Fluorescence is highly prevalent in reef-building corals, nevertheless its biological role is still under ongoing debate. This feature of corals was previously suggested to primarily screen harmful radiation or facilitate coral photosynthesis. In mesophotic coral ecosystems (MCEs; 30-150 m depth) corals experience a limited, blue-shifted light environment. Consequently, in contrast to their shallow conspecifics, they might not be able to rely on photosynthates from their photosymbionts as their main energy source. Here, we experimentally test an alternative hypothesis for coral fluorescence: a prey-lure mechanism for plankton. We show that plankton exhibit preferential swimming towards green fluorescent cues and that compared to other morphs, higher predation rates are recorded in a green fluorescing morph of the mesophotic coral Euphyllia paradivisa. The evidence provided here - that plankton are actively attracted to fluorescent signals - indicates the significant role of fluorescence in amplifying the nutritional sink adjacent to coral reefs.

Close

  • https://doi.org/10.1038/s42003-022-03460-3
  • doi:10.1038/s42003-022-03460-3

Close

Pichaya Lertvilai, Jules S. Jaffe

In situ size and motility measurement of aquatic invertebrates with an underwater stereoscopic camera system using tilted lenses Journal Article

In: Methods in Ecology and Evolution, 2022.

Abstract | Links | BibTeX

@article{Lertvilai2022,

title = {In situ size and motility measurement of aquatic invertebrates with an underwater stereoscopic camera system using tilted lenses},

author = {Pichaya Lertvilai, Jules S. Jaffe},

editor = {Marta Vidal Garcia},

url = {https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13855},

doi = {https://doi.org/10.1111/2041-210X.13855},

year  = {2022},

date = {2022-03-28},

urldate = {2022-03-28},

journal = {Methods in Ecology and Evolution},

abstract = {Abstract In situ observation of traits of aquatic organisms, including size and motility, requires three-dimensional measurements that are commonly done with a stereoscopic imaging system. However, to observe traits of small aquatic invertebrates, the imaging system requires relatively high magnification, which results in a small overlapping volume between the two cameras of a conventional stereoscopic system. The provision of a larger shared volume would therefore be of great advantage, especially, when the organism abundance is low. We implement a stereoscopic system that utilizes a tilted lens approach, known as the Scheimpflug principle, to increase the common imaging volume of two cameras. The system was calibrated and tested in the laboratory and then deployed in a saltmarsh to observe water boatmen Trichocorixa californica. Processing of the image data from the field deployments resulted in the simultaneous estimation of the traits of body length and swimming speed of the aquatic insects. Our stereo setup with tilted lenses increased the sampling volume by 3.1 times compared to a traditional stereo setup with the same optical parameters. The in situ data and subsequent processing reveal that the instrument can capture stereoscopic images that resolve both body length and swimming speed of the aquatic insects. Results indicate that the relationship between the body length and the swimming speed of the water boatmen is linear in the log–log space with an exponent of 0.81±0.12$$ 0.81pm 0.12 $$. Furthermore, the insects experience Reynold's number in the range of 100$$ {10}^0 $$–103$$ {10}^3 $$. Our results demonstrated that the system can be used to observe key traits of small aquatic organisms in an ecologically relevant context. This work expands the capability of underwater imaging systems to measure important traits of an individual aquatic invertebrate in its natural environment and aids in providing a trait-based approach to zooplankton ecology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Abstract In situ observation of traits of aquatic organisms, including size and motility, requires three-dimensional measurements that are commonly done with a stereoscopic imaging system. However, to observe traits of small aquatic invertebrates, the imaging system requires relatively high magnification, which results in a small overlapping volume between the two cameras of a conventional stereoscopic system. The provision of a larger shared volume would therefore be of great advantage, especially, when the organism abundance is low. We implement a stereoscopic system that utilizes a tilted lens approach, known as the Scheimpflug principle, to increase the common imaging volume of two cameras. The system was calibrated and tested in the laboratory and then deployed in a saltmarsh to observe water boatmen Trichocorixa californica. Processing of the image data from the field deployments resulted in the simultaneous estimation of the traits of body length and swimming speed of the aquatic insects. Our stereo setup with tilted lenses increased the sampling volume by 3.1 times compared to a traditional stereo setup with the same optical parameters. The in situ data and subsequent processing reveal that the instrument can capture stereoscopic images that resolve both body length and swimming speed of the aquatic insects. Results indicate that the relationship between the body length and the swimming speed of the water boatmen is linear in the log–log space with an exponent of 0.81±0.12$$ 0.81pm 0.12 $$. Furthermore, the insects experience Reynold's number in the range of 100$$ {10}^0 $$–103$$ {10}^3 $$. Our results demonstrated that the system can be used to observe key traits of small aquatic organisms in an ecologically relevant context. This work expands the capability of underwater imaging systems to measure important traits of an individual aquatic invertebrate in its natural environment and aids in providing a trait-based approach to zooplankton ecology.

Close

  • https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13855
  • doi:https://doi.org/10.1111/2041-210X.13855

Close

Jon S. Sauer, et al

The Sea Spray Chemistry and Particle Evolution study (SeaSCAPE): overview and experimental methods Journal Article

In: Environmental Science: Processes and Impacts, 2022.

Links | BibTeX

@article{Sauer2022b,

title = {The Sea Spray Chemistry and Particle Evolution study (SeaSCAPE): overview and experimental methods},

author = {Jon S. Sauer, et al},

url = {https://doi.org/10.1039/D1EM00260K},

doi = {https://doi.org/10.1039/D1EM00260K},

year  = {2022},

date = {2022-01-20},

urldate = {2022-01-20},

journal = {Environmental Science: Processes and Impacts},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

  • https://doi.org/10.1039/D1EM00260K
  • doi:https://doi.org/10.1039/D1EM00260K

Close

2021

Ewa Merz, et al

Underwater dual-magnification imaging for automated lake plankton monitoring Journal Article

In: Water Research, vol. 203, no. 117524, 2021.

Abstract | Links | BibTeX

@article{Merz2021,

title = {Underwater dual-magnification imaging for automated lake plankton monitoring},

author = {Ewa Merz, et al},

url = {https://doi.org/10.1016/j.watres.2021.117524},

year  = {2021},

date = {2021-09-15},

urldate = {2021-09-15},

journal = {Water Research},

volume = {203},

number = {117524},

abstract = {The Dual Scripps Plankton Camera (DSPC) is a new approach for automated in-situ monitoring of phyto- and zooplankton communities based on a dual magnification dark-field imaging microscope. Here, we present the DSPC and its associated image processing while evaluating its capabilities in i) detecting and characterizing plankton species of different size and taxonomic categories and ii) measuring their abundance in both laboratory and field applications. In the laboratory, body size and abundance estimates by the DSPC significantly and robustly scaled with measurements derived by microscopy. In the field, a DSPC installed permanently at 3 m depth in Lake Greifensee (Switzerland) delivered images of plankton individuals, colonies, and heterospecific aggregates at hourly timescales without disrupting natural arrangements of interacting organisms, their microenvironment or their behavior. The DSPC was able to track the dynamics of taxa, mostly at the genus level, in the size range between ∼10 μm to ∼ 1 cm, covering many components of the planktonic food web (including parasites and potentially toxic cyanobacteria). Comparing data from the field-deployed DSPC to traditional sampling and microscopy revealed a general overall agreement in estimates of plankton diversity and abundances. The most significant disagreements between traditional methods and the DSPC resided in the measurements of zooplankton community properties. Our data suggest that the DSPC is better equipped to study the dynamics and demography of heterogeneously distributed organisms such as zooplankton, because high temporal resolution and continuous sampling offer more information and less variability in taxa detection and quantification than traditional sampling. Time series collected by the DSPC depicted ecological succession patterns, algal bloom dynamics and diel fluctuations with a temporal frequency and morphological resolution that was never observed by traditional methods. Access to high frequency, reproducible and real-time data of a large spectrum of the planktonic ecosystem expands our understanding of both applied and fundamental plankton ecology. We conclude the DSPC is robust for both research and water quality monitoring and suitable for stable long-term deployments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

The Dual Scripps Plankton Camera (DSPC) is a new approach for automated in-situ monitoring of phyto- and zooplankton communities based on a dual magnification dark-field imaging microscope. Here, we present the DSPC and its associated image processing while evaluating its capabilities in i) detecting and characterizing plankton species of different size and taxonomic categories and ii) measuring their abundance in both laboratory and field applications. In the laboratory, body size and abundance estimates by the DSPC significantly and robustly scaled with measurements derived by microscopy. In the field, a DSPC installed permanently at 3 m depth in Lake Greifensee (Switzerland) delivered images of plankton individuals, colonies, and heterospecific aggregates at hourly timescales without disrupting natural arrangements of interacting organisms, their microenvironment or their behavior. The DSPC was able to track the dynamics of taxa, mostly at the genus level, in the size range between ∼10 μm to ∼ 1 cm, covering many components of the planktonic food web (including parasites and potentially toxic cyanobacteria). Comparing data from the field-deployed DSPC to traditional sampling and microscopy revealed a general overall agreement in estimates of plankton diversity and abundances. The most significant disagreements between traditional methods and the DSPC resided in the measurements of zooplankton community properties. Our data suggest that the DSPC is better equipped to study the dynamics and demography of heterogeneously distributed organisms such as zooplankton, because high temporal resolution and continuous sampling offer more information and less variability in taxa detection and quantification than traditional sampling. Time series collected by the DSPC depicted ecological succession patterns, algal bloom dynamics and diel fluctuations with a temporal frequency and morphological resolution that was never observed by traditional methods. Access to high frequency, reproducible and real-time data of a large spectrum of the planktonic ecosystem expands our understanding of both applied and fundamental plankton ecology. We conclude the DSPC is robust for both research and water quality monitoring and suitable for stable long-term deployments.

Close

  • https://doi.org/10.1016/j.watres.2021.117524

Close

Ronen, Roi; Attias, Yacov; Schechner, Yoay Y.; Jaffe, Jules S.; Orenstein, Eric C.

Plankton reconstruction through robust statistical optical tomography Journal Article

In: Journal of the Optical Society of America A, vol. 38, no. 9, pp. 1320-1331, 2021.

Abstract | Links | BibTeX

@article{Ronen2021,

title = {Plankton reconstruction through robust statistical optical tomography},

author = {Roi Ronen and Yacov Attias and Yoay Y. Schechner and Jules S. Jaffe and Eric C. Orenstein},

url = {https://doi.org/10.1364/JOSAA.423037},

year  = {2021},

date = {2021-09-01},

urldate = {2021-09-01},

journal = {Journal of the Optical Society of America A},

volume = {38},

number = {9},

pages = {1320-1331},

abstract = {Plankton interact with the environment according to their size and three-dimensional (3D) structure. To study them outdoors, these translucent specimens are imaged in situ. Light projects through a specimen in each image. The specimen has a random scale, drawn from the population’s size distribution and random unknown pose. The specimen appears only once before drifting away. We achieve 3D tomography using such a random ensemble to statistically estimate an average volumetric distribution of the plankton type and specimen size. To counter errors due to non-rigid deformations, we weight the data, drawing from advanced models developed for cryo-electron microscopy. The weights convey the confidence in the quality of each datum. This confidence relies on a statistical error model. We demonstrate the approach on live plankton using an underwater field microscope.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Plankton interact with the environment according to their size and three-dimensional (3D) structure. To study them outdoors, these translucent specimens are imaged in situ. Light projects through a specimen in each image. The specimen has a random scale, drawn from the population’s size distribution and random unknown pose. The specimen appears only once before drifting away. We achieve 3D tomography using such a random ensemble to statistically estimate an average volumetric distribution of the plankton type and specimen size. To counter errors due to non-rigid deformations, we weight the data, drawing from advanced models developed for cryo-electron microscopy. The weights convey the confidence in the quality of each datum. This confidence relies on a statistical error model. We demonstrate the approach on live plankton using an underwater field microscope.

Close

  • https://doi.org/10.1364/JOSAA.423037

Close

Camille M. L. S. Pagniello, et al

An Optical Imaging System for Capturing Images in Low-Light Aquatic Habitats Using Only Ambient Light Journal Article

In: Oceanography Magazine, 2021.

Abstract | Links | BibTeX

@article{Pagniello2021,

title = {An Optical Imaging System for Capturing Images in Low-Light Aquatic Habitats Using Only Ambient Light},

author = {Camille M. L. S. Pagniello, et al},

url = {https://doi.org/10.5670/oceanog.2021.305},

year  = {2021},

date = {2021-07-08},

urldate = {2021-07-08},

journal = {Oceanography Magazine},

abstract = {It is preferable that methods for monitoring fish behavior, diversity, and abundance be noninvasive to avoid potential bias. Optical imaging facilitates the noninvasive monitoring of underwater environments and is best conducted without the use of artificial lighting. Here, we describe a custom-designed optical imaging system that utilizes a consumer-grade camera to capture images in situ in ambient light. This diver-deployed system can be used to collect time series of occurrences of animals while concurrently obtaining behavioral observations for two weeks to a month (depending on the sampling rate). It has also been configured to be paired with a passive acoustic system to record time-synchronized image and acoustic data. The system was deployed in a protected kelp forest off southern California and captured >1,500 high-quality images per day over 14 days. The images revealed numerous fish species exhibiting biologically important behaviors as well as daily patterns of presence/absence. The optical imaging system is a cost-effective tool that can be easily fabricated and improves upon many of the limitations of previous systems, including deployment length and image quality in low-light and limited-visibility conditions. The system provides a relatively noninvasive way to monitor shallow marine habitats, including protected areas, and can augment traditional survey methods by providing nearly continuous observations and thus yield increased statistical power.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

It is preferable that methods for monitoring fish behavior, diversity, and abundance be noninvasive to avoid potential bias. Optical imaging facilitates the noninvasive monitoring of underwater environments and is best conducted without the use of artificial lighting. Here, we describe a custom-designed optical imaging system that utilizes a consumer-grade camera to capture images in situ in ambient light. This diver-deployed system can be used to collect time series of occurrences of animals while concurrently obtaining behavioral observations for two weeks to a month (depending on the sampling rate). It has also been configured to be paired with a passive acoustic system to record time-synchronized image and acoustic data. The system was deployed in a protected kelp forest off southern California and captured >1,500 high-quality images per day over 14 days. The images revealed numerous fish species exhibiting biologically important behaviors as well as daily patterns of presence/absence. The optical imaging system is a cost-effective tool that can be easily fabricated and improves upon many of the limitations of previous systems, including deployment length and image quality in low-light and limited-visibility conditions. The system provides a relatively noninvasive way to monitor shallow marine habitats, including protected areas, and can augment traditional survey methods by providing nearly continuous observations and thus yield increased statistical power.

Close

  • https://doi.org/10.5670/oceanog.2021.305

Close

Lertvilai, Pichaya; Roberts, Paul L. D.; Jaffe, Jules S.

In Situ Underwater Average Flow Velocity Estimation Using a Low-Cost Video Velocimeter Journal Article

In: Journal of Atmospheric and Oceanic Technology, vol. 38, no. 6, pp. 1143-1156, 2021.

Abstract | Links | BibTeX

@article{Lertvilai2021,

title = {In Situ Underwater Average Flow Velocity Estimation Using a Low-Cost Video Velocimeter},

author = {Pichaya Lertvilai and Paul L. D. Roberts and Jules S. Jaffe},

url = {https://doi.org/10.1175/JTECH-D-20-0115.1},

doi = {https://doi.org/10.1175/JTECH-D-20-0115.1},

year  = {2021},

date = {2021-06-14},

journal = {Journal of Atmospheric and Oceanic Technology},

volume = {38},

number = {6},

pages = {1143-1156},

abstract = {The development of a low-cost Video Velocimeter (VIV) to estimate underwater bulk flow velocity is described. The instrument utilizes a simplified particle image correlation technique to reconstruct an average flow velocity vector from video recordings of ambient particles. The VIV uses a single camera with a set of mirrors that splits the view into two stereoscopic views, allowing estimation of the flow velocity vector. The VIV was validated in a controlled flume using ambient seawater, and subsequently field tested together with an acoustic Doppler velocimeter with both mounted close to the coastal seafloor. When used in nonturbulent flow, the instrument can estimate mean flow velocity parallel to the front face of the instrument with root-mean-squared errors of the main flow within 10% of the ±20 cm s−1 measurement range when compared to an acoustic Doppler velocimeter (ADV). The predominant feature of the VIV is that it is a cost-effective method to estimate flow velocity in complex benthic habitats where velocity parallel to the sea floor is of interest.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

The development of a low-cost Video Velocimeter (VIV) to estimate underwater bulk flow velocity is described. The instrument utilizes a simplified particle image correlation technique to reconstruct an average flow velocity vector from video recordings of ambient particles. The VIV uses a single camera with a set of mirrors that splits the view into two stereoscopic views, allowing estimation of the flow velocity vector. The VIV was validated in a controlled flume using ambient seawater, and subsequently field tested together with an acoustic Doppler velocimeter with both mounted close to the coastal seafloor. When used in nonturbulent flow, the instrument can estimate mean flow velocity parallel to the front face of the instrument with root-mean-squared errors of the main flow within 10% of the ±20 cm s−1 measurement range when compared to an acoustic Doppler velocimeter (ADV). The predominant feature of the VIV is that it is a cost-effective method to estimate flow velocity in complex benthic habitats where velocity parallel to the sea floor is of interest.

Close

  • https://doi.org/10.1175/JTECH-D-20-0115.1
  • doi:https://doi.org/10.1175/JTECH-D-20-0115.1

Close

2020

Garwood, Jessica C.; Lucas, Andrew J.; Naughton, Perry; Roberts, Paul L. D.; Jaffe, Jules S; deGelleke, Laura; Franks, Peter J. S.

Larval cross-shore transport estimated from internal waves with a mean flow: the effects of larval vertical position and depth regulation. Journal Article

In: Limnology and Oceanography, 2020.

Abstract | Links | BibTeX

@article{Garwood2020b,

title = {Larval cross-shore transport estimated from internal waves with a mean flow: the effects of larval vertical position and depth regulation.},

author = {Jessica C. Garwood and Andrew J. Lucas and Perry Naughton and Paul L. D. Roberts and Jules S Jaffe and Laura deGelleke and Peter J. S. Franks},

url = {https://doi.org/10.1002/lno.11632},

year  = {2020},

date = {2020-10-26},

journal = {Limnology and Oceanography},

abstract = {Cross‐shore velocities in the coastal ocean typically vary with depth. The direction and magnitude of transport experienced by meroplanktonic larvae will therefore be influenced by their vertical position. To quantify how swimming behavior and vertical position in internal waves influence larval cross‐shore transport in the shallow (~ 20 m), stratified coastal waters off Southern California, we deployed swarms of novel, subsurface larval mimics, the Mini‐Autonomous Underwater Explorers (M‐AUEs). The M‐AUEs were programmed to maintain a specified depth, and were deployed near a mooring. Transport of the M‐AUEs was predominantly onshore, with average velocities up to 14 cm s−1. To put the M‐AUE deployments into a broader context, we simulated > 500 individual high‐frequency internal waves observed at the mooring over a 14‐d deployment; in each internal wave, we released both depth‐keeping and passive virtual larvae every meter in the vertical. After the waves' passage, depth‐keeping virtual larvae were usually found closer to shore than passive larvae released at the same depth. Near the top of the water column (3–5‐m depth), ~ 20% of internal waves enhanced onshore transport of depth‐keeping virtual larvae by ≥ 50 m, whereas only 1% of waves gave similar enhancements to passive larvae. Our observations and simulations showed that depth‐keeping behavior in high‐frequency internal waves resulted in enhanced onshore transport at the top of the water column, and reduced offshore dispersal at the bottom, compared to being passive. Thus, even weak depth‐keeping may allow larvae to reach nearshore adult habitats more reliably than drifting passively.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Cross‐shore velocities in the coastal ocean typically vary with depth. The direction and magnitude of transport experienced by meroplanktonic larvae will therefore be influenced by their vertical position. To quantify how swimming behavior and vertical position in internal waves influence larval cross‐shore transport in the shallow (~ 20 m), stratified coastal waters off Southern California, we deployed swarms of novel, subsurface larval mimics, the Mini‐Autonomous Underwater Explorers (M‐AUEs). The M‐AUEs were programmed to maintain a specified depth, and were deployed near a mooring. Transport of the M‐AUEs was predominantly onshore, with average velocities up to 14 cm s−1. To put the M‐AUE deployments into a broader context, we simulated > 500 individual high‐frequency internal waves observed at the mooring over a 14‐d deployment; in each internal wave, we released both depth‐keeping and passive virtual larvae every meter in the vertical. After the waves' passage, depth‐keeping virtual larvae were usually found closer to shore than passive larvae released at the same depth. Near the top of the water column (3–5‐m depth), ~ 20% of internal waves enhanced onshore transport of depth‐keeping virtual larvae by ≥ 50 m, whereas only 1% of waves gave similar enhancements to passive larvae. Our observations and simulations showed that depth‐keeping behavior in high‐frequency internal waves resulted in enhanced onshore transport at the top of the water column, and reduced offshore dispersal at the bottom, compared to being passive. Thus, even weak depth‐keeping may allow larvae to reach nearshore adult habitats more reliably than drifting passively.

Close

  • https://doi.org/10.1002/lno.11632

Close

Orenstein, Eric C.; Ratelle, Devin; Briseño-Avena, Christian; Carter, Melissa L; Franks, Peter J. S.; Jaffe, Jules S.; Roberts, Paul L. D.

The Scripps Plankton Camera system: A framework and platform for in situ microscopy Journal Article

In: Limnology and Oceanography: Methods, 2020.

Abstract | Links | BibTeX

@article{Orenstein2020,

title = {The Scripps Plankton Camera system: A framework and platform for in situ microscopy},

author = {Eric C. Orenstein and Devin Ratelle and Christian Briseño-Avena and Melissa L Carter and Peter J. S. Franks and Jules S. Jaffe and Paul L. D. Roberts},

editor = {Malinda Sutor},

url = {https://aslopubs.onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10394},

doi = {10.1002/lom3.10394},

year  = {2020},

date = {2020-10-05},

journal = {Limnology and Oceanography: Methods},

abstract = {The large data sets provided by in situ optical microscopes are allowing us to answer longstanding questions

about the dynamics of planktonic ecosystems. To deal with the influx of information, while facilitating ecological insights, the design of these instruments increasingly must consider the data: storage standards, human

annotation, and automated classification. In that context, we detail the design of the Scripps Plankton Camera

(SPC) system, an in situ microscopic imaging system. Broadly speaking, the SPC consists of three units: (1) an

underwater, free-space, dark-field imaging microscope; (2) a server-based management system for data storage

and analysis; and (3) a web-based user interface for real-time data browsing and annotation. Combined, these

components facilitate observations and insights into the diverse planktonic ecosystem. Here, we detail the basic

design of the SPC and briefly present several preliminary, machine-learning-enabled studies illustrating its utility

and efficacy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

The large data sets provided by in situ optical microscopes are allowing us to answer longstanding questions
about the dynamics of planktonic ecosystems. To deal with the influx of information, while facilitating ecological insights, the design of these instruments increasingly must consider the data: storage standards, human
annotation, and automated classification. In that context, we detail the design of the Scripps Plankton Camera
(SPC) system, an in situ microscopic imaging system. Broadly speaking, the SPC consists of three units: (1) an
underwater, free-space, dark-field imaging microscope; (2) a server-based management system for data storage
and analysis; and (3) a web-based user interface for real-time data browsing and annotation. Combined, these
components facilitate observations and insights into the diverse planktonic ecosystem. Here, we detail the basic
design of the SPC and briefly present several preliminary, machine-learning-enabled studies illustrating its utility
and efficacy.

Close

  • https://aslopubs.onlinelibrary.wiley.com/doi/epdf/10.1002/lom3.10394
  • doi:10.1002/lom3.10394

Close

Briseño-Avena, Christian; Prairie, Jennifer C.; Franks, Peter J. S.; Jaffe, Jules S.

Comparing Vertical Distributions of Chl-a Fluorescence, Marine Snow, and Taxon-Specific Zooplankton in Relation to Density Using High Resolution Optical Measurements Journal Article

In: Frontiers in Marine Science, 2020.

Abstract | Links | BibTeX

@article{Briseño-Avena2020,

title = {Comparing Vertical Distributions of Chl-a Fluorescence, Marine Snow, and Taxon-Specific Zooplankton in Relation to Density Using High Resolution Optical Measurements},

author = {Christian Briseño-Avena and Jennifer C. Prairie and Peter J. S. Franks and Jules S. Jaffe},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2020.00602/abstract},

doi = {10.3389/fmars.2020.00602},

year  = {2020},

date = {2020-07-28},

journal = {Frontiers in Marine Science},

abstract = {Interactions between predators and their prey are important in shaping planktonic ecosystems. However, these interactions are difficult to assess in situ at the spatial scales relevant to the organisms. This work presents high spatial resolution observations of the nighttime vertical distributions of individual zooplankton, chlorophyll-a fluorescence, and marine snow in stratified coastal waters of the Southern California Bight. Data were obtained using a planar laser imaging fluorometer (PLIF) augmented with a shadowgraph zooplankton imaging system (O-Cam) mounted along with ancillary sensors on a free-descent platform. Fluorometer and PLIF sensors detected two well-defined and distinct peaks: the subsurface chlorophyll maximum (SCM) and a fluorescent particle maximum (FPM) dominated by large marine snow. The O-Cam imaging system allows reliable estimates of concentrations of crustacean and gelatinous zooplankton groups; we found that grazers and their predators had well-structured nighttime distributions in and around the SCM and FPM in ways that suggested potential predator avoidance at the peak of the SCM and immediately above the FPM (where predatory hydromedusae, and to some degree euphausiids, were primarily located). Calanoid copepods were found above the SCM while cyclopoids were associated with the FPM. The locations of predator and grazer concentration peaks suggest that their dynamics may control the vertical gradients defining the SCM and FPM.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Interactions between predators and their prey are important in shaping planktonic ecosystems. However, these interactions are difficult to assess in situ at the spatial scales relevant to the organisms. This work presents high spatial resolution observations of the nighttime vertical distributions of individual zooplankton, chlorophyll-a fluorescence, and marine snow in stratified coastal waters of the Southern California Bight. Data were obtained using a planar laser imaging fluorometer (PLIF) augmented with a shadowgraph zooplankton imaging system (O-Cam) mounted along with ancillary sensors on a free-descent platform. Fluorometer and PLIF sensors detected two well-defined and distinct peaks: the subsurface chlorophyll maximum (SCM) and a fluorescent particle maximum (FPM) dominated by large marine snow. The O-Cam imaging system allows reliable estimates of concentrations of crustacean and gelatinous zooplankton groups; we found that grazers and their predators had well-structured nighttime distributions in and around the SCM and FPM in ways that suggested potential predator avoidance at the peak of the SCM and immediately above the FPM (where predatory hydromedusae, and to some degree euphausiids, were primarily located). Calanoid copepods were found above the SCM while cyclopoids were associated with the FPM. The locations of predator and grazer concentration peaks suggest that their dynamics may control the vertical gradients defining the SCM and FPM.

Close

  • https://www.frontiersin.org/articles/10.3389/fmars.2020.00602/abstract
  • doi:10.3389/fmars.2020.00602

Close

Lertvilai, Pichaya

The In situ Plankton Assemblage eXplorer (IPAX): An inexpensive underwater imaging system for zooplankton study Journal Article

In: Methods in Ecology and Evolution, 2020.

Abstract | Links | BibTeX

@article{Lertvilai2020,

title = {The In situ Plankton Assemblage eXplorer (IPAX): An inexpensive underwater imaging system for zooplankton study},

author = {Pichaya Lertvilai},

url = {https://doi.org/10.1111/2041-210X.13441},

year  = {2020},

date = {2020-06-27},

journal = {Methods in Ecology and Evolution},

abstract = {1. Zooplankton play vital ecological roles that maintain aquatic ecosystems. Imaging instruments have enabled in situ observations of these organisms that can be automated and are less invasive than traditional sampling methods. However, these instruments are often costly and require sophisticated engineering expertise to operate.

2. The In situ Plankton Assemblage eXplorer (IPAX) is an open‐source low‐cost imaging platform for zooplankton studies. The IPAX is a programmable instrument that has powerful LED illumination and a high‐resolution camera that can image zooplankton in situ, while material costs are less than USD $450. The optical performance of the instrument was calibrated in the laboratory using a calibration target and preserved zooplankton. The IPAX was then deployed in the field to observe diversity, emergent patterns and phototactic behaviour of demersal zooplankton at night to demonstrate its practicality.

3. Laboratory calibration indicated that the IPAX can resolve 100 µm features with 70% contrast at the focal plane with 5 cm × 3 cm field of view and 5 mm depth of field. The instrument also resolved fine morphological details of preserved zooplankton when in focus. The field deployment demonstrated capability to resolve the myriad of zooplankton present in addition to the different phototactic behaviour that was elicited and observed from the different colour LEDs.

4. The IPAX enables economical and autonomous surveys of zooplankton in various aquatic habitats. Its low cost facilitates construction and deployment of multiple units that can cover large spatial areas, while its versatility also allows adaptations to many experimental needs for aquatic ecology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

1. Zooplankton play vital ecological roles that maintain aquatic ecosystems. Imaging instruments have enabled in situ observations of these organisms that can be automated and are less invasive than traditional sampling methods. However, these instruments are often costly and require sophisticated engineering expertise to operate.
2. The In situ Plankton Assemblage eXplorer (IPAX) is an open‐source low‐cost imaging platform for zooplankton studies. The IPAX is a programmable instrument that has powerful LED illumination and a high‐resolution camera that can image zooplankton in situ, while material costs are less than USD $450. The optical performance of the instrument was calibrated in the laboratory using a calibration target and preserved zooplankton. The IPAX was then deployed in the field to observe diversity, emergent patterns and phototactic behaviour of demersal zooplankton at night to demonstrate its practicality.
3. Laboratory calibration indicated that the IPAX can resolve 100 µm features with 70% contrast at the focal plane with 5 cm × 3 cm field of view and 5 mm depth of field. The instrument also resolved fine morphological details of preserved zooplankton when in focus. The field deployment demonstrated capability to resolve the myriad of zooplankton present in addition to the different phototactic behaviour that was elicited and observed from the different colour LEDs.
4. The IPAX enables economical and autonomous surveys of zooplankton in various aquatic habitats. Its low cost facilitates construction and deployment of multiple units that can cover large spatial areas, while its versatility also allows adaptations to many experimental needs for aquatic ecology.

Close

  • https://doi.org/10.1111/2041-210X.13441

Close

Kenitz, Kasia M; Orenstein, Eric C.; Roberts, Paul L D; Franks, Peter J S; Jaffe, Jules S; Carter, Melissa L; Barton, Andrew D

Environmental drivers of population variability in colony‐forming marine diatoms Journal Article

In: Limnology and Oceanography, 2020.

Abstract | Links | BibTeX

@article{Kenitz2020,

title = {Environmental drivers of population variability in colony‐forming marine diatoms},

author = {Kasia M Kenitz and Eric C. Orenstein and Paul L D Roberts and Peter J S Franks and Jules S Jaffe and Melissa L Carter and Andrew D Barton},

editor = {Ilana Berman-Frank},

url = {https://doi.org/10.1002/lno.11468},

year  = {2020},

date = {2020-05-26},

journal = {Limnology and Oceanography},

abstract = {Many aquatic microbes form colonies, yet little is known about their abundance and fitness relative to single‐celled taxa. The formation of diatom chains, in particular, has implications for diatom growth, survival, and carbon transfer. Here, we utilize an autonomous underwater microscope, combined with traditional microscopy, to develop a novel, multiyear record of the abundance of single‐cell and colony‐forming diatoms at Scripps Pier, a coastal location in the Southern California Bight. The total abundance of diatoms was lower during the warmer and more stratified conditions from 2015 to early 2016, but increased in cooler and less stratified conditions in mid‐2016 to late 2017. Diatom blooms were dominated by chain‐forming taxa, whereas solitary diatoms prevailed during low‐biomass conditions. The abundance of dinoflagellates, some of which are important diatom predators, is highest when colonies (chains) are most abundant. These observations of the diatom assemblage are consistent with a trade‐off between resource acquisition and predator defenses. Solitary diatom cells dominated during conditions with weak nutrient supply because they have a greater diffusive catchment area per cell in comparison to cells living in colonies. In contrast, during bloom conditions when nutrient supply is high and predators are abundant, forming a colony may reduce predation losses to quickly growing microzooplankton predators, and afford chains a higher fitness despite the costs of sharing resources with neighboring cells. These results highlight the contrasting ecology of single‐cell and chain‐forming diatoms, and the need to differentiate them in monitoring campaigns and ecological models.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Many aquatic microbes form colonies, yet little is known about their abundance and fitness relative to single‐celled taxa. The formation of diatom chains, in particular, has implications for diatom growth, survival, and carbon transfer. Here, we utilize an autonomous underwater microscope, combined with traditional microscopy, to develop a novel, multiyear record of the abundance of single‐cell and colony‐forming diatoms at Scripps Pier, a coastal location in the Southern California Bight. The total abundance of diatoms was lower during the warmer and more stratified conditions from 2015 to early 2016, but increased in cooler and less stratified conditions in mid‐2016 to late 2017. Diatom blooms were dominated by chain‐forming taxa, whereas solitary diatoms prevailed during low‐biomass conditions. The abundance of dinoflagellates, some of which are important diatom predators, is highest when colonies (chains) are most abundant. These observations of the diatom assemblage are consistent with a trade‐off between resource acquisition and predator defenses. Solitary diatom cells dominated during conditions with weak nutrient supply because they have a greater diffusive catchment area per cell in comparison to cells living in colonies. In contrast, during bloom conditions when nutrient supply is high and predators are abundant, forming a colony may reduce predation losses to quickly growing microzooplankton predators, and afford chains a higher fitness despite the costs of sharing resources with neighboring cells. These results highlight the contrasting ecology of single‐cell and chain‐forming diatoms, and the need to differentiate them in monitoring campaigns and ecological models.

Close

  • https://doi.org/10.1002/lno.11468

Close

Campbell, Robert W; Roberts, Paul L D; Jaffe, Jules S

The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates Journal Article

In: ICES Journal of Marine Science, vol. 77, no. 4, pp. 1440-1455, 2020.

Abstract | Links | BibTeX

@article{Campbell2020,

title = {The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates},

author = {Robert W Campbell and Paul L D Roberts and Jules S Jaffe},

url = {https://academic.oup.com/icesjms/advance-article/doi/10.1093/icesjms/fsaa029/5811106},

year  = {2020},

date = {2020-03-24},

journal = {ICES Journal of Marine Science},

volume = {77},

number = {4},

pages = {1440-1455},

abstract = {A novel plankton imager was developed and deployed aboard a profiling mooring in Prince William Sound in 2016–2018. The imager consisted of a 12-MP camera and a 0.137× telecentric lens, along with darkfield illumination produced by an in-line ring/condenser lens system. Just under 2.5 × 106 images were collected during 3 years of deployments. A subset of almost 2 × 104 images was manually identified into 43 unique classes, and a hybrid convolutional neural network classifier was developed and trained to identify the images. Classification accuracy varied among the different classes, and applying thresholds to the output of the neural network (interpretable as probabilities or classifier confidence), improved classification accuracy in non-ambiguous groups to between 80% and 100%.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

A novel plankton imager was developed and deployed aboard a profiling mooring in Prince William Sound in 2016–2018. The imager consisted of a 12-MP camera and a 0.137× telecentric lens, along with darkfield illumination produced by an in-line ring/condenser lens system. Just under 2.5 × 106 images were collected during 3 years of deployments. A subset of almost 2 × 104 images was manually identified into 43 unique classes, and a hybrid convolutional neural network classifier was developed and trained to identify the images. Classification accuracy varied among the different classes, and applying thresholds to the output of the neural network (interpretable as probabilities or classifier confidence), improved classification accuracy in non-ambiguous groups to between 80% and 100%.

Close

  • https://academic.oup.com/icesjms/advance-article/doi/10.1093/icesjms/fsaa029/581[...]

Close

Garwood, Jessica C.; Lucas, Andrew J.; Naughton, Perry; Alford, Matthew H.; Roberts, Paul L. D.; Jaffe, Jules S.; Franks, Peter J. S.

A novel cross‐shore transport mechanism revealed by subsurface, robotic larval mimics: Internal wave deformation of the background velocity field Journal Article

In: Limnology and Oceanography, vol. 65, no. 7, pp. 1456-1470, 2020.

Abstract | Links | BibTeX

@article{Garwood2020,

title = {A novel cross‐shore transport mechanism revealed by subsurface, robotic larval mimics: Internal wave deformation of the background velocity field},

author = {Jessica C. Garwood and Andrew J. Lucas and Perry Naughton and Matthew H. Alford and Paul L. D. Roberts and Jules S. Jaffe and Peter J. S. Franks},

editor = {Julia Mullarney},

url = {https://doi.org/10.1002/lno.11400},

year  = {2020},

date = {2020-01-13},

journal = {Limnology and Oceanography},

volume = {65},

number = {7},

pages = {1456-1470},

abstract = {Coastal physical processes are essential for the cross‐shore transport of meroplanktonic larvae to their benthic adult habitats. To investigate these processes, we released a swarm of novel, trackable, subsurface vehicles, the Mini‐Autonomous Underwater Explorers (M‐AUEs), which we programmed to mimic larval depth‐keeping behavior. The M‐AUE swarm measured a sudden net onshore transport of 30–70 m over 15–20 min, which we investigated in detail. Here, we describe a novel transport mechanism of depth‐keeping plankton revealed by these observations. In situ measurements and models showed that, as a weakly nonlinear internal wave propagated through the swarm, it deformed surface‐intensified, along‐isopycnal background velocities downward, accelerating depth‐keeping organisms onshore. These higher velocities increased both the depth‐keepers' residence time in the wave and total cross‐shore displacement, leading to wave‐induced transports twice those of fully Lagrangian organisms and four times those associated with the unperturbed background currents. Our analyses also show that integrating velocity time series from virtual larvae or mimics moving with the flow yields both larger and more accurate transport estimates than integrating velocity time series obtained at a point (Eulerian). The increased cross‐shore transport of organisms capable of vertical swimming in this wave/background‐current system is mathematically analogous to the increase in onshore transport associated with horizontal swimming in highly nonlinear internal waves. However, the mechanism described here requires much weaker swimming speeds (mm s−1 vs. cm s−1) to achieve significant onshore transports, and meroplanktonic larvae only need to orient themselves vertically, not horizontally.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Close

Coastal physical processes are essential for the cross‐shore transport of meroplanktonic larvae to their benthic adult habitats. To investigate these processes, we released a swarm of novel, trackable, subsurface vehicles, the Mini‐Autonomous Underwater Explorers (M‐AUEs), which we programmed to mimic larval depth‐keeping behavior. The M‐AUE swarm measured a sudden net onshore transport of 30–70 m over 15–20 min, which we investigated in detail. Here, we describe a novel transport mechanism of depth‐keeping plankton revealed by these observations. In situ measurements and models showed that, as a weakly nonlinear internal wave propagated through the swarm, it deformed surface‐intensified, along‐isopycnal background velocities downward, accelerating depth‐keeping organisms onshore. These higher velocities increased both the depth‐keepers' residence time in the wave and total cross‐shore displacement, leading to wave‐induced transports twice those of fully Lagrangian organisms and four times those associated with the unperturbed background currents. Our analyses also show that integrating velocity time series from virtual larvae or mimics moving with the flow yields both larger and more accurate transport estimates than integrating velocity time series obtained at a point (Eulerian). The increased cross‐shore transport of organisms capable of vertical swimming in this wave/background‐current system is mathematically analogous to the increase in onshore transport associated with horizontal swimming in highly nonlinear internal waves. However, the mechanism described here requires much weaker swimming speeds (mm s−1 vs. cm s−1) to achieve significant onshore transports, and meroplanktonic larvae only need to orient themselves vertically, not horizontally.

Close

  • https://doi.org/10.1002/lno.11400

Close

Copyright © 2023 Jaffe Laboratory for Underwater Imaging