| Literature DB >> 28508058 |
Kakani Katija1, Rob E Sherlock1, Alana D Sherman1, Bruce H Robison1.
Abstract
To accurately assess the impacts of climate change on our planet, modeling of oceanic systems and understanding how atmospheric carbon is transported from surface waters to the deep benthos are required. The biological pump drives the transport of carbon through the ocean's depths, and the rates at which carbon is removed and sequestered are often dependent on the grazing abilities of surface and midwater organisms. Some of the most effective and abundant midwater grazers are filter-feeding invertebrates. Although the impact of smaller, near-surface filter feeders is generally known, efforts to quantify the impact of deeper filter feeders, such as giant larvaceans, have been unsuccessful. Giant larvaceans occupy the upper 400 m of the water column, where they build complex mucus filtering structures that reach diameters greater than 1 m. Because of the fragility of these structures, direct measurements of filtration rates require in situ methods. Hence, we developed DeepPIV, an instrument deployed from a remotely operated vehicle that enables the direct measurement of in situ filtration rates. The rates measured for giant larvaceans exceed those of any other zooplankton filter feeder. Given these filtration rates and abundance data from a 22-year time series, the grazing impact of giant larvaceans far exceeds previous estimates, with the potential for processing their 200-m principal depth range in Monterey Bay in as little as 13 days. Technologies such as DeepPIV will enable more accurate assessments of the long-term removal of atmospheric carbon by deep-water biota.Entities:
Keywords: Biological Fluid Dynamics; DeepPIV; filtration rates; giant larvaceans; marine invertebrate ecology
Year: 2017 PMID: 28508058 PMCID: PMC5415331 DOI: 10.1126/sciadv.1602374
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Fig. 1Illumination type provides differing views of Bathochordaeus mcnutti (top) and B. stygius (middle) inner filter structures while revealing internal flow.
(A and B) Lateral view. (C and D) Dorsal view. (A and C) LED illumination. (B and D) Planar laser illumination (using DeepPIV). The laser sheet (red light) can also be seen during LED illumination in (C). (E) Lateral view of pumping B. stygius with a few particle (p) streaks identified and the upper and lower extent of the tail chamber walls at the entrance to the inner filter/ramp region. ta, tail; tr, trunk; if, inner filter; r, ramp; tc, tail chamber. Scale bars, 3 cm.
Summary of morphological, kinematic, and filtration performance parameters for in situ filtration measurements of B. stygius and B. mcnutti using DeepPIV.
Thorough vetting of the DeepPIV measurements yielded filtration results on seven B. stygius (BS) and three B. mcnutti (BM) individuals. The number of tail-beat cycles per individual is N. The tail wave is characterized by amplitude (a) and wavelength (λ) of the tail, and the total area of fluid constrained by the tail is Atot. Using the tail-beat frequency (F) and the tail width (W), the biomechanical model volume flow rate (Qi,model) can be estimated and compared to the measured value (Qi,meas).
| BS1 | 1.6 | 0.9 | 1.6 | 2.6 | 4.5 | 2.6 | 2.3 | 0.9 | 3.9 | 2.4 | 4 | 1.26 ± 0.03 | 1.6 ± 0.3 | 1.0 ± 0.2 | 6.3 ± 1.3 | 22.7 ± 4.8 | 28.2 |
| BS2 | 1.3 | 0.9 | 1.7 | 2.1 | 4.8 | 2.5 | 2.2 | 1.1 | 4.2 | 3.0 | 8 | 1.13 ± 0.04 | — | — | — | — | 25.8 |
| BS3 | 1.5 | 0.9 | 1.8 | 2.1 | 4.7 | 2.1 | 2.2 | 1.2 | 4.5 | 3.5 | 1 | 0.70 | 2.4 | 1.6 | 7.2 | 25.8 | 18.2 |
| BS4 | 1.8 | 1.0 | 1.8 | 2.3 | 5.0 | 2.3 | 2.2 | 1.2 | 4.4 | 3.5 | 9 | 0.72 ± 0.08 | 2.1 ± 0.4 | 1.4 ± 0.3 | 7.1 ± 1.5 | 25.5 ± 5.4 | 21.0 |
| BS5 | 1.1 | 0.9 | 1.8 | 2.2 | 5.4 | 2.2 | 2.3 | 1.1 | 4.7 | 3.3 | 11 | 1.01 ± 0.04 | 2.2 ± 0.4 | 1.5 ± 0.3 | 7.5 ± 1.4 | 26.8 ± 4.9 | 27.1 |
| BS6 | 1.4 | 1.0 | 1.7 | 2.1 | 5.1 | 2.1 | 2.5 | 1.0 | 4.5 | 2.9 | 10 | 0.97 ± 0.04 | 2.6 ± 0.2 | 1.8 ± 0.2 | 9.5 ± 0.8 | 34.2 ± 3.0 | 21.4 |
| BS7 | 0.5 | 0.4 | 0.9 | 0.8 | 2.8 | 0.8 | 1.4 | 0.5 | 2.6 | 0.9 | 3 | 0.40 ± 0.02 | 1.1 ± 0.2 | 0.7 ± 0.2 | 0.8 ± 0.2 | 2.8 ± 0.6 | 0.96 |
| BM1 | 2.3 | 1.3 | 2.5 | 3.2 | 6.1 | 3.1 | 2.7 | 1.4 | 5.5 | 5.0 | 3 | 0.59 ± 0.02 | 3.2 ± 0.5 | 2.2 ± 0.4 | 18.0 ± 3.0 | 64.8 ± 10.8 | 34.0 |
| BM2 | 2.4 | 1.4 | 2.7 | 3.1 | 6.6 | 3.1 | 2.9 | 2.0 | 5.2 | 7.0 | 5 | 0.68 ± 0.05 | 3.5 ± 1.0 | 2.4 ± 0.7 | 21.2 ± 6.3 | 76.2 ± 22.8 | 53.1 |
| BM3 | 1.9 | 1.0 | 2.4 | 2.7 | 5.8 | 2.7 | 2.5 | 1.7 | 5.2 | 5.7 | 2 | 1.04 ± 0.09 | 3.8 ± 2.0 | 2.6 ± 1.4 | 17.5 ± 9.3 | 67.2 ± 29.2 | 57.7 |
Fig. 2ROV-collected video transect data for all counts of the genus Bathochordaeus at MW1 in Monterey Bay from 1993 to 2015.
(A) Representative data set showing larvacean density with depth during a single series of video transects. Averaged density between 100 and 300 m is indicated by the blue dashed line. (B) Average abundance with SE (gray bars, left vertical axis) and average (open circles, blue solid line) and maximum (hatches, blue dashed line) Bathochordaeus densities binned by month. (C) Average abundance of Bathochordaeus during spring (red), upwelling (green), and winter (blue) seasons; error bars indicate the SE binned by season and year.