Benthic community succession patterns at whale falls have been previously established by means of punctual submersible and ROV observations. The contribution of faunal activity rhythms in response to internal tides and photoperiod cues to that community succession dynamism has never been evaluated. Here, we present results from a high-frequency monitoring experiment of an implanted sperm whale carcass in the continental slope (500 m depth) offshore Sagami Bay, Japan. The benthic community succession was monitored at a high frequency in a prolonged fashion (i.e. 2-h intervals for 2.5 months) with a seafloor lander equipped with a time-lapse video camera and an acoustic Doppler profiler to concomitantly study current flow dynamics. We reported here for the first time, to the best of our knowledge, the occurrence of strong 24-h day-night driven behavioral rhythms of the most abundant species (Simenchelys parasitica; Macrocheira kaempferi, and Pterothrissus gissu). Those rhythms were detected in detriment of tidally-controlled ones. Evidence of a diel temporal niche portioning between scavengers and predators avoiding co-occurrence at the carcass, is also provided. The high-frequency photographic and oceanographic data acquisition also helped to precisely discriminate the transition timing between the successional stages previously described for whale falls’ attendant communities.
The fate of large whale carcasses sinking to the seafloor in both shallow and deep-sea environments has intrigued scientists in several research fields spanning from community ecology, evolution, and biogeography for three decades1,2,3,4. The term ‘whale fall’, coined after the incidental discovery and observations of a balaenopterid whale skeleton at a depth of 1240 m in Santa Catalina basin (California, USA), has been since used to generally define these oases-like organic-enriched seafloor environments1,2. In extremely food-limited environments such as the deep sea, a 40-ton sunken adult whale provides an enormous input of organic matter (~2 × 106 g C), that may be equivalent to over 200 years of particulate organic matter arriving at the seafloor via vertical and lateral fluxes in the form of marine snow aggregates and phytodetritus2.
Whale carcasses not only provide a surplus in food supply to benthic and demersal animals belonging to a vast array of trophic guilds, but they also serve as habitats for a specialized fauna that represents the counterpart of chemosynthetic symbiont-bearing taxa, inhabiting other reducing environments such as hydrothermal vents and hydrocarbon seeps1,2,5. Anaerobic bacterial decomposition of lipid-rich content within whalebone matrices releases sulfide into the environment, which is taken up by sulfur-oxidizing chemoautotrophic bacteria found as endosymbionts of several invertebrate species free-living in the seafloor3. Because of that resemblance and the sharing of several species with hydrothermal vents and cold seeps, whale falls have been hypothesized to act as stepping-stone dispersal pathways between those habitats1,2,3,5. At evolutionary time scales, whale carcasses have also been postulated to support the invasion of deep-sea chemosynthetic habitats by shallow water taxa, also in a stepping-stone fashion5,6,7.
After three decades of studies on naturally occurring and artificially implanted whale carcasses on the seafloor, four stages of ecological succession were established (see 2 and 3 for details): i. the mobile-scavenger stage, lasting months up to 1.5 years, ii. an enrichment-opportunistic stage, lasting months up to 4.5 years, iii. a sulphophilic stage, lasting for decades, and finally iv. a reef stage from remaining bones, potentially lasting also for several years. The duration of each stage is ultimately dependent upon the local rate of whale carcass decomposition, which defines the lipid content of specific bones along the skeleton8. Additionally, seafloor environmental conditions such as depth, current speeds, temperature, and dissolved oxygen have also been postulated to influence in the duration of whale fall community successional stages2,9.
Cyclic changes in the environmental conditions around sunken whale carrion may deeply influence the benthic community succession dynamic, by generating a rhythmic turnover in local species composition. In the aphotic deep sea, changes in water currents and temperature10,11, combined with the seasonal nature of food supply from the euphotic zone12,13,14, are the main environmental drivers of temporal behavioral rhythms of benthos. Three main types of rhythmic population displacements have been well characterized: i. up and down the water column occurring typically at diel (i.e. 24-h) intervals (diel vertical migration); ii. horizontal displacements along the seabed (nektobenthic movements across shelves and slopes); iii. in and out from the sediment-water interface (endobenthic)15. The role of those population displacement rhythms on whale carcass scavenging dynamics has been poorly investigated to date. The behavioral activity of scavenging species and their access to the whale carrion could be temporally regulated by internal tidal motions, as well as upon the rhythmic presence of benthopelagic predators in the local benthic boundary layer (BBL)15. These rhythmic displacements all combined could in turn affect the dynamics of energy dispersal from the center of the carcass towards the background seafloor in the form of particulate and dissolved organic matter, and also fecal material (as predicted and modeled by16. Interspecific competition between facultative versus obligated scavengers could also play a crucial role in regulating species turnover near sunken whale carcasses. These two trophic groups may have developed a temporal niche partitioning strategy, accessing the carrion at different times during a 24-h diurnal period17,18, to avoid competition.
Previous studies on whale fall communities have relied on punctual sampling and observations conducted by submersibles and Remote Operated Vehicles (ROVs)1,2,4,6,9,19. High-frequency in-situ observations and sampling are currently inexistent due to logistical constraints, mostly associated with high operational costs in accessing remote deep-sea environments. Furthermore, the obvious difficulties associated in locating naturally occurring whale falls, as well as the laborious logistics involved in artificially implanting whale carcasses in the deep seafloor contribute to the current lack of detailed observations20. Nevertheless, multiparametric seabed monitoring platforms such as landers are promising tools that have never been used for the purpose of studying sunken whale carcasses in the deep-sea. Specifically, landers equipped with video cameras and a suit of oceanographic sensors can be efficiently used to study the contribution of species activity rhythms to the scavenging dynamics, and to better constrain the transition time scales between previously defined community successional stages.
The present contribution furthers our knowledge on whale fall community succession at much finer temporal scales, particularly at the initial mobile-scavenger stage. It also provides new insights on how scavenging activity dynamics can also be regulated by species-specific behavioral rhythms that in the aphotic Deep-sea should be chiefly modulated by diurnal/semi-diurnal internal tides. We employed a chronobiology approach in data collection and time-series analyses (see21, for a methodological review). All benthic scavenging megafauna occurring at and near an artificially implanted whale carcass at the upper slope (492 m) off Sagami Bay, Japan were counted at a bi-hourly frequency over a 2.5-months. Periodogram, waveform, and multivariate statistical analyses were employed to evidence how patterns of diel and weekly fluctuations in species’ visual counts (as proxies of population displacement rhythms) are related to the oceanographic conditioning. We also used seafloor temperature and current flow data from the lander to perform a Fast Fourier Transform (FFT) analysis, identifying relationships between individual species counts and overall environmental variability.
Materials and Methods
The study site and the experimental setting
A juvenile male sperm whale (Physeter macrocephalus, Linnaeus 1758), 464 cm in total length and ca. 1.2 tons of body weight, was collected whole as it beach-stranded at Mihama-chō, Aichi, Japan on April 24th, 2008. The carcass was preserved in a freezer container at −30 °C until June 5th, 2012. The whale was then transported to the Atami Port and stored on a barge that was used for the carcass deployment. The free-fall deployment of the carcass was then conducted at a depth of 492 m at the halfway point between Hatsushima Island and the tip of the Manazuru Peninsula in Sagami Bay (35°05.576′N, 139°10.271′E) on June 8th, 2012 (Fig. 1). For selecting the deployment location, three practical issues had to be considered. The deployment depth must be shallower than 1000 m because the seabed lander was transported by the HOV Triton 3300 that had the maximum operational depth at 1000 m. At depths shallower than 1000 m fishery is allowed, therefore, we had to negotiate with local fisheries’ unions and finally had received the permission for the deployment from the unions around Atami City. Additionally, there are large inaccessible areas in the bay, due to the occurrence of submarine cables. Further, the selection of the deployment site took in consideration the slope disphotic depth character, to allow both the study of day-night and tidal rhythms, as well as the contribution of large shallow water predators (e.g. sharks) on the early scavenging dynamic9.
Two concrete blocks (1 m3 each) for ballast were tied to the base of the whale tail by negatively-buoyant polypropylene ropes (45 mm in diameter). The carcass riggings followed safety recommendations from the Japanese Fisheries Agency (http://www.jfa.maff.go.jp/j/whale/w_faq/pdf/manual.pdf), and the deployment was documented in video by the Japan Broadcasting Corporation (NHK) and by the Discovery Channel (http://www.godac.jamstec.go.jp/catalog/data/doc_catalog/media/NT12-15_all.pdf).
The seabed lander used to carry out imagery acquisition was equipped with a time-lapse still imaging system (Goto Aquatics Inc., Japan), consisting of a digital camera Pen Lite E-PL2 (Olympus, Japan), a Zuiko Digital ED 8 mm F3.5 Fisheye lens (Olympus), and two incandescent strobe flashlights FL-50R (Olympus). These were installed on both sides of the camera, coupled with a diffuser (GN28, ISO200). The fisheye lens and curved dome port of the camera housing allowed for a very wide and large field of view. The exposure of the camera was manually set to 1/125 sec for the shutter speed and to f/16.0 for the aperture. The white balance was set to 5500 K and the focal distance was set to 120 cm.
The camera was installed facing forward (i.e., in the same horizontal plane of the seafloor), with the height of the center of the lens at 42 cm above the seafloor, and distanced approximately 5 m away from the carcass. With those camera settings, the entire field of view was estimated in 10 m2, encompassing the entire whale carcass and the seabed in the foreground. Photographs were acquired at 2-h intervals for a period of 72 days, starting on June 14th at 16:30 (6 days after carcass implantation) and ending on August 24th at 10:30 (Japan Standard Time, JST), when the camera system was retrieved using the ROV Hyper-dolphin. During the video-monitoring period, sunrise and sunset shifted their timing from 4:24 to 5:07, and from 18:57 to 18:19, respectively (https://www.timeanddate.com/sun/japan/tokyo?month=6&year=2012). Image acquisition started 6 days following the carcass because of the bad weather and mechanical problems to HOV’s manipulator.
Image acquisition was supplemented by the monitoring of oceanographic conditions such as bottom currents and temperature around the carcass. Besides providing key information of environmental fluctuation potentially influencing faunal presence as proxy of activity rhythms, the characterization of seafloor currents is also useful to study the intensity and direction of odor plumes released by the decomposing carcass2,16,22. Additionally, temperature variability has also been assigned as a key regulator of activity rhythms in ectotherms23,24,25. A 300 kHz Workhorse Sentinel Acoustic Doppler Current Profiler (ADCP; Teledyne RD Instruments) was installed upward-looking in the southwestern side of the whale carcass, providing current velocity (horizontal and vertical components), temperature, and hydrostatic pressure (water column height, as proxy of depth) data. The instrument was programmed to record data at a 20-minute sampling interval, with sample bin size and number of bins set to 3 and 50 m, respectively. We focused our observations on the first layer above the transducer (5 m from the bottom), to target the hydrodynamic variations in the BBL environment. Current flow velocities were analysed for the North-South (N-S), East-West (E-W), and vertical components, being used to describe the tidal influence in the overall local current regime, and after employing a Fast Fourier Transform (FFT) analysis. Bottom current and temperature data have been down sampled into 2-h intervals to match the frequency of the still imagery acquisition.
Time-series data analysis of the physical environment and benthic fauna
We estimated the fluctuations in benthic megafauna visual counts derived from the still imagery to be used as a proxy of local population rhythm, resulting from synchronic displacement among individuals26,27. For each image, we identified and counted animals to the lowest taxonomic level as possible, reporting abundance numbers per each operational taxonomic unit. We could only identify animals that were approximately within 4–5 m2 of the field of view in front of the camera, with a few exceptions represented by large-size species.
The occurrence of significant diel periodicities in visual count fluctuations for the different species (i.e., modulated by either day-night or internal tide cycles) was studied using the Lomb-Scargle Periodogram included in the El Temps chronobiology software package (www.el-temps.com). A period is defined as the temporal lag between consecutive peaks and troughs in a time series. All periodicities in oceanographic and species count time series were screened within 600–1620 min intervals, equivalent to 10 and 27 h, respectively, covering a wide range of diel cycles (i.e. inertial, tidal, and of photoperiod, all associated with the latitude and depth of the study area; see22. In the periodogram output plot, the highest peak exceeding the significant threshold (p < 0.05), represents the maximum percentage of total data variance explained by the inherent dominant periodicity21.
The phase of a rhythm represents the timing of an average-peak in relation to an external controlling cycle21. After periodogram computing, the waveform analysis was employed to identify all rhythms’ phases only for those species showing significant diel periodicities in the prior periodogram analysis. According to28, each time series was partitioned into 24-h segments (i.e. 12 values per segment, given the 2-h sampling frequency). Values at corresponding timings were then averaged within all segments, thus obtaining a mean fluctuation plot (i.e. the waveform). Phase timing and duration were statistically assessed using the Midline Estimating Statistic Of Rhythm (MESOR)29. MESOR was estimated by re-averaging all waveform values and representing the resulting mean as a horizontal threshold line on the waveform plots. This threshold was used to discern waveform values above it as a significant increment representative of the phase21.
For those species showing significant visual count patterns with tidal periodicity, waveform analysis was repeated as above, but at an approximated 12-h length (i.e. by subdividing the whole data set in sub-segments, each of 6 values), to evidence the role of bottom current flow on species behavior patterns. Additionally, to detect the occurrence of tidal motions and to analyze their temporal evolution, a Fast Fourier Transform (FFT) analysis was performed on the time-series of horizontal and vertical velocities. Thus, the waveform and FFT analyses combined, were also repeated in a similar manner for the ADCP data using the first sample bin (i.e. 5 m above seabed), indicating tidal motions. A comparison between the two approaches was also performed. The 24-h Fourier component of E-W current was also integrated in time to evaluate the periodic displacements along this direction induced by diel tidal current. Thus, the E-W component was selected as representative of the horizontal flow, being oriented approximately towards the main direction of the bottom topography.
The overall time-series analysis (i.e. periodogram combined with waveform) was repeated by subdividing species according to their main feeding habits: scavengers (i.e., carrion eaters, which can also be facultative predators), detritivores (i.e., animals that feed on dead decomposing organic material, including plant-based detritus), and predators (i.e., eating live prey). Visual counts for species within each trophic group were summed at 2-h intervals, and time series analyses were repeated, and results compared.
Multivariate statistical analyses
Multivariate analyses were carried out to define the timing of community succession, as revealed by temporal changes in single species occurrences. First, a cluster analysis with a similarity profile (SIMPROF) test30 was carried out on the week-averaged 4th-root transformed biological data matrix, in order to highlight separation in species occurrences within each observation period. Second, a non-metrical Multi-Dimensional Scaling (nMDS) analysis was performed on the same matrix, and bubble plot charts used to highlight the species mostly contributing to the observed ordination. A Permutational Multivariate Analysis of Variance (PERMANOVA)31 was carried out on the taxonomic groups found to be significantly different in terms of visual counts by the SIMPROF test. Finally, a Similarity Percentages (SIMPER) analysis was run to identify those species that most typify each week and the average similarity within each period (week). All these analyses were carried out with the software PRIMER6 & PERMANOVA+ add-on packages31,32.
In order to determine the relative contributions of each oceanographic parameter on temporal patterns of individual species counts, and in the occurrence of certain recurrent species associations, a Canonical Correspondence Analysis (CCA) and a 2-Block Partial Least Squares analysis (2B-PLS) were carried out33. A matrix composed by the time series observations (from 18:30 of June 14th to 4:30 of August 22th 2012 for a total of 822 observations) and 2 series of variables (i.e. “block” hereafter) were considered. Block 1 was composed by 5 variables: Date (numerically transformed in Excel), Time (also numerically transformed in Excel and shifted starting from 4:30 a.m. as “dawn”, to obtain lower values in the photo phase and high values at night), and finally temperature, depth, and current velocity (horizontal E-W and vertical current components). Again, the E-W component was selected as representative of the horizontal flow, as approximately follows the main direction of the bottom topography (see Fig. 1). Block 2 was composed by variables as species visual counts and block 3 encompassed trophic-group variables of scavengers (and facultative predators), detritivores, and predators. Being an ordination technique, CCA was then applied to observe in a same multidimensional space the contributions of both environmental and species count matrices. The ordination axes are linear combinations of the environmental variables. CCA and 2B-PLS analyses were performed using the free software PAST 2.17c (http://folk.uio.no/ohammer/past/).
No experiments have been conducted on live vertebrates. All methods were carried out in accordance with relevant guidelines and regulations and all experimental protocols were approved by Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Benthic and scavenger community composition
A total of 850 photographs were used for counting and identifying organisms. Vertebrates and invertebrates from four different phyla (Mollusca, Arthropoda, Echinodermata, and Chordata) were observed with markedly different abundances (Table 1). Sixteen putative species could be distinguished and counted (Fig. 2), while no records for macro-infaunal organisms were reported given our field of view and camera resolution settings.
The snubnosed parasitic eel, Simenchelys parasitica, was the most abundant species, representing more than half of total observations (56.5%, 4052 individuals) (see Table 1). The Japanese spider crab, Macrocheira kaempferi, was the second most abundant species, present in 14.0% of the observations and with 1002 individuals, followed by another bony fish, Pterothrissus gissu with 5.4% in frequency of occurrence and 390 individuals (see Table 1). Finally, the isopod Bathynomus doederleinii was the fourth most abundant species with 4.9% (349 individuals) of occurrence.
The detection at the beginning of the photograph time-lapse sequence of a large individual of the bluntnose six-gill shark, Hexanchus griseus, feeding on the whale carcass was noteworthy (Fig. 2H). The whole whale carcass slightly shifted its position at the beginning of the survey (i.e. 6:30 on June 15th), with 3 additional position shifts during the experiment, at 8:30 on July 15th, 4:30 on July 26th, and finally at 2:39 of the on August 7th. In all these occasions carcass movements could have been produced by the scavenging activity of large shark individuals, although there was no evidence from the time-lapse photographs.
The visual count time series for all species indicate different patterns of occurrence near the carcass (Appendix 1), depicting a noticeable change in community composition particularly marked by the slow replacement of the crab M. kaempferi by the fish P. gissu around the 34th day of the experiment (between the 4th and the 5th week). While some species occurred during the entire period of observations (e.g. S. parasitica), others peaked toward the middle (e.g. the isopod B. doederleini) or the end (e.g. ophiuroids and the sea cucumber Pannychia moseley) of observations.
Time series analysis output
For the whole testing period, average (±sd), maximum, and minimum values for the measured oceanographic variables were: temperature (°C) = 5.73 ± 0.44, max. = 7.00, min. = 4.23; pressure (dBar) = 493 ± 0.49, max. = 493.68, min. = 491.31; vertical velocity component (cm/s) = −1.89 ± 1.2, max. = 3.7, min. = −5.6; north-south velocity component (cm/s) = −4.9 ± 5.8, max. = 14.9, min. = −42.4; east-west velocity component (cm/s) = 1.47 ± 13.5, max. = 51.2, min. = −30.3.
The analysis of the vertical component of current velocity data showed the presence of a prominent downward flow in each vertical layer, especially stronger near the bottom, and following a semidiurnal period directly linked with the tides (Appendix 2A). While peak downward currents occurred during spring tides, the weakest currents coincided with neap tide conditions. A mixed diurnal-semidiurnal tidal cycle occurred in the area, as indicated by the FFT analysis (Appendix 2B). In all the time series the semidiurnal (12-h) cycle was dominant, with lower cycles present at 6 and 24-h periods. Using the FFT diel (i.e. 24-h) component of the E-W currents, it was possible to evaluate the water displacement associated to the tidal motions by integrating the E-W component over time. This allowed us to estimate both the distance travelled by this flow (ranging between 0 to 440 m), and its time phase when it reached the maximum distance (i.e. 2-h, Fig. 3A). This overall current flow displacement provides important information about the potential maximum distance over which an odor plume originating from the whale carcass would travel (not considering diffusion), being therefore able to attract scavengers. The correspondent integrated displacements along the E-W axis in each semi-period were 440, 940, and 140 m, corresponding to 24, 12, and 6-h, respectively. These lengths may be considered as the average distances reached by each cyclic movement of tidal (diurnal and semidiurnal) periodicity for the flow around the seafloor. Similar results have been obtained for water temperature data (but with a less evident peak in correspondence of the 24-h period).
The periodogram analysis identified the occurrence of significant day-night related (i.e. 24-h) visual count fluctuation patterns for 3 species (see Table 1): S. parasitica (swimmer; P = 24.0 h; Var. = 15.79%), P. gissu (swimmer; P = 24.0 h; Var. = 22.64%), and finally M. kaempferi (walker; P = 23.8 h; Var. = 7.76%). A single species showed a tidal-related periodicity, the fish Physiculus japonicus (swimmer; P = 12.3 h; Var. = 7.78%). Interestingly, no other species showed significant tidal periodicity and only Coelorinchus sp. showed a different inertial currents related patterning (P = 19.5 h.; Var. = 8.56%).
The comparisons between the waveform and FFT analysis for current data are shown in Fig. 3. The waveform analysis has only been shown for the E-W current components, partitioned in 12 and then in 24-h segments to show semidiurnal and diurnal tides, as both tidal components were in phase with the vertical current velocity component. Hence, both components produced oscillations along the local seafloor topography. The correspondent diurnal and semidiurnal Fourier component curves (dash-dotted lines superimposed in Fig. 3) confirmed the same trends. Both the vertical and E-W current velocity components showed an evident bimodal fluctuation, typical of mixed diurnal and semidiurnal regime, even if the semidiurnal cycle was clearly dominant (about tenfold the diurnal cycle).
The waveform analysis conducted for S. parasitica, P. gissu, and M. kaempferi showed significant 24-h periodicity based on the visual count patterns of the previous periodogram analysis (Fig. 4, Table 1). This indicated the occurrence of temporally coherent phases among those three species (i.e. a continuous series of values above the MESOR; see Methods) and a progressive phase shift from night (S. parasitica) to daytime (P. gissu). The integrated values of diurnal flow displacements along the E-W axis, computed from the FFT results, are superimposed: S. parasitica phase shows a delay of 2 hours, while for the M. kaempferi such a delay is of about 4 hours.
The waveform analysis conducted separately for scavengers, detritivores, and predators, indicated the presence of a temporal segregation of species near the carcass according to their main feeding group (Fig. 5). While scavenger and facultative predator abundance was phased at night (Fig. 5A), predators were more abundant during the day (Fig. 5C). Differently, detritivores did not show a clear trend in abundance throughout the day, with only a phase with minor amplitude was present in the morning, likely due to highly variable visual counts from species belonging to this trophic group. These results were corroborated by the periodogram analysis output (see Table 1), which identified significant 24-h rhythmicity for scavengers and predators as well as arrhythmia for detritivores.
Multivariate statistical analyses
Two main phases of benthic community succession at the whale fall, were identified by the cluster analysis at 60% of similarity level: weeks 1–6 significantly separated from weeks 7–11 (SIMPROF test, p < 0.05; black lines in Appendix 3A). The clustering of weeks 1–6 and 7–11 was corroborated by the PERMANOVA test (F1,10 = 11.34, p < 0.001).
The SIMPER analysis further identified those species and higher taxa that mostly typified each of the two phases of the early whale fall community succession (Table 2). Overall, while S. parasitica was abundant throughout the entire observation period (i.e., weeks 1–11), M. kaempferi characterized the whale all community during weeks 1–6, and unidentified ophiuroids during weeks 7–11. These results were further supported by the nMDS bubble plots (Appendix 3B).
The CCA analysis showed the association between species (represented by points, block 2) with the environmental variables (represented as vectors, block 1) (Fig. 6A). The first ordination axis (horizontal) segregates species by timing of appearance (variable ‘Date’) at the whale carcass (i.e., early successional species appear towards the right of the axis, and later stage species towards the left). These results are in agreement with the periodogram, waveform, cluster, and nMDS analyses. Additionally, they highlight the late appearance of detritivores such as ophiuroids and holothurians at the carcass, marking a transition between successional stages. From right to left in that ordination axis we have scavengers, predators, and finally detritivores. The 2-block PLS (Fig. 6B) showed how the most important variables on the first axis of the block 1 (88.5% Covariance) were primarily the date, followed by the horizontal component of the current velocity.
We reported here for the first time, to the best of our knowledge, the occurrence of a diel turnover in the species assemblages scavenging and foraging at and in the vicinities of an artificially implanted whale carcass at mid slope depths off Japan. This result alone provides some new insights into the role of benthic and demersal species’ behavioral rhythms in affecting whale fall community succession and energy dispersion into deep-sea slope environments. Additionally, we also provide evidence for a diel temporal niche partitioning among species with clearly different foraging strategies, which avoid co-occurrence (i.e. feeding at the carcass) during the same time periods of the day. The high-frequency photographic and oceanographic data acquisition, using an autonomous lander, also helped to precisely discriminate the transition timing between previously described community successional stages at whale falls; i.e., from the initial ‘mobile-scavenger’ stage, to the second ‘enrichment-opportunist’ stage (sensu 2).
Surprisingly, strong day-night related behavioral rhythms of the most abundant species occurring at the whale carcass (Simenchelys parasitica; Macrocheira kaempferi, and Pterothrissus gissu) were detected in detriment of tidally-controlled rhythms. In a region where a diurnal- mixed with a dominant semi-diurnal internal tide current regime is well characterized (Appendix 3B), we expected that animals undergo large synchronized benthopelagic displacements following those high-energy tidal currents22. Furthermore, at those depths in the slope (i.e., approx. 500 m), we expected that animal behavior would be largely decoupled from photoperiod-related cues, even though the ocean disphotic layer is variable and can reach 800–1000 m17,34,35. Unfortunately, the lack of information on light spectrum penetration and attenuation for those slope depths in the study area off Japan prevent us from further exploring the role of photoperiodicity in controlling benthic and benthopelagic species behavioral rhythms.
The observed short-term (24-h) periodic shifts in the whale carcass community composition due to species’ activity rhythms should then be analyzed in the context of previously described massive synchronous faunal displacements along bathymetric gradients that transition between photic and disphotic depths36. Therefore, individual animals or schools swarming horizontally along the BBL (nektobenthic mode11, or vertically through the water column (benthopelagic mode11, may be periodically present at local deep slope BBL following a rhythmicity that is decoupled from the tidal flow drift, but rather primarily triggered by photoperiod cues experienced at shallower (photic) strata11,22. Furthermore, the role of photoperiod cues in determining temporal dynamics of benthic assemblage structure composition is corroborated by previous studies from day-night trawling surveys in other slope areas of central Japan, which demonstrated that benthopelagic and nektobenthic displacements are triggered by day-night alternation37. This important indirect effect of day-night cycles on slope benthic community composition adds another layer of temporal complexity in the structuring of deep-sea ecosystems, and here in particular of the community observed at an experimentally deployed whale carcass11.
Higher abundances M. kaempferi occurred during minimum E-W flow (see Fig. 3B), and 8 hours after the maximum correspondent current displacement (~440 m), possibly indicating maximum range in odor plume displacement. Day-night rhythmic population displacements of M. kaempferi near the whale carcass were somehow associated with currents, with potential cascading effects on the species’ scavenging rates and resulting energy dispersal from the carcass (in the form of particulate organic matter and fecal material, as described in16; albeit not directly quantified during our study).
While some benthic and demersal species or faunal groups may perform long migrations across a large depth range at continental slopes, some species display rhythmic displacements that are not yet fully characterized. That is the case for example of the highly mobile predator fish Pterothrissus gissu and the scavenger Simenchelys parasitica. Despite the fact that we identified significant diel rhythmic peaking in abundance near the implanted carcass, we still lack information if these species undergo similar nektobenthic rhythms as single individuals or sizable aggregations. The only species that showed a semidiurnal tidal-driven behavioral rhythm identified by the photograph’s visual counts was the Japanese codling Physiculus japonicus (see Table 1). This species, a bathydemersal fish with a wide depth distribution range from shelf to upper bathyal depths (200–1200 m38), seems to undergo horizontal movements back and forth along the seabed utilizing the strong E-W current flow associated with the semi-diurnal tides. Considering the estimated maximum current flow displacements from the FFT analysis, the odor plumes emanating from the whale carcass could have travelled offshore at least 940 m during each tidal cycle, reaching deeper areas of the slope and potentially attracting P. japonicus to the carcass. The snubnosed eel Simenchelys parasitica, typically living at depths from 500 to 1800 m, was the most abundant species recorded during our time-lapse photography study. The species’ peak occurrences near the carcass followed a predictable rhythmicity occurring two hours later with respect to the diel water displacement along the slope (Fig. 3); a time lag that also could indicate odor plume dispersal reaching S. parasitica individuals at greater depths on the slope. All the examples provided above were corroborated by the high explanatory power of the E-W horizontal current velocity component in the ordination analysis (see Fig. 6).
The progressive substitution of the most abundant species over the time span of the experiment mirrored a faunal assemblage replacement from primarily scavengers to predators, and finally by detritivore species (see Appendix 1). Close to ~50-days after the carcass implantation, a marked transition from a ‘mobile-scavenger’ to an ‘enrichment-opportunistic’ successional stage could be clearly identified2. This transition occurred right after most soft-tissues were removed from the whale carcass, and when a large number of ophiuroids, a successional stage indicator group2, started to colonize the sediments nearby the remaining whale skeleton. Important to note here is the relatively small body mass (1.2 ton) of the juvenile sperm whale carcass used in this experiment. Smith and Baco2 described the duration of the ‘mobile-scavenger’ stage to range between 4–5 mo to 1.5–2 yr following carcass arrival in the seafloor, depending primarily on carcass mass (using 5 and 35-ton gray whale carcasses as end-members). Therefore, it may not be surprising that for a 1.2-ton carcass, this initial shift between ecological successional stages took place much earlier, at ~1.8 months. Furthermore, our experiment took place at a shallower depth (~500 m) if compared with deployments of the majority of previously studied whale fall communities, either found accidentally or artificially implanted (~1000–4000 m)1,2,4,19, with the exception of a couple much shallower whale fall experiments, in 30 and 125 m depth in Norway39. Depth is expected to play a crucial role on overall benthic community succession near whale falls, as background community composition and relative abundances change substantially as you move from food-limited bathyal (1000–3000 m) and abyssal (3000–6000 m) settings, into food-enriched shallower shelf and slope depths (0–1000 m1,2,3,19). At these shallower depths, higher abundances of both exclusive and facultative scavengers occur, resulting in much faster arrival times and carcass consumption rates2,3. Consequently, a fast carcass consumption was reported within 1.8 month of observations in our study, off Sagami Bay.
Marked transitions in community succession near the carcass were evidenced throughout the ~11 weeks of time-lapse photography, which were corroborated by the CCA (see Fig. 6) and nMDS (see Appendix 3A) ordination analyses, revealing the importance of elapsed time (i.e., ‘date’ factor) as the first and most important variable structuring the whale fall community during the study. During weeks 1–4, the mobile scavengers S. parasitica and M. kaempferi dominated the whale fall community. At week 5, we observed the beginning of replacement of M. kaempferi by the predator P. gissu, while S. parasitica remained the most abundant species. On week 6, detritivore ophiuroids and the scavenger isopod B. doederleinii became more abundant, with ophiuroids substantially increasing in abundance in week 7 and until the last period of observations at week 11. Deposit-feeding/detritivore elasipodid holothurian P. moseleyi appeared for the first time near the carcass at week 7.5, and remained present until week 11. Zoarcid fishes and P. japonica, both predators, had low and somewhat constant abundances throughout the entire 11-weeks period. These observations corroborate the predictions2,3,19,39: a community transition from predominantly large and mobile scavengers, to smaller, less mobile, opportunist and detritivores, taking advantage of the smaller particulate organic matter generated and dispersed near the carcass by the feeding activity of large scavengers. However, now we provide, at a much finer temporal resolution (relative to punctual ROV/submersible observation studies), the exact transition times between successional stages, which could have further implications for modeling energy dispersal from large localized organic islands in the deep ocean.
One interesting but perhaps expected observation (i.e. a single photograph at the very early stage of our experiment), was the presence of the snubnose six-gill shark Hexanchus griseus (Day 1), devouring a large chunk of the carcass flesh (see Fig. 2H). With a wide bathymetric range in occurrence (0–2000 m40), H. griseus has been detected as scavenging on whale remains at early stages of decomposition of both natural whale falls and artificially implanted carcasses (reviewed in2,3). At our study site and depth, which is well within the range of H. griseus’ bathymetric distribution, we suspect that a large individual played a role in dislodging and moving the carcass during at least one occasion (from a total of three carcass shift movements). On August 8, nearly 60 days after the experiment deployment, as the carcass remains had already lost a large proportion of its flesh consumed by scavengers, a much lighter carcass could have been easily dislodged by the feeding frenzy activity of one or multiple H. griseus specimens. Even though this could not be confirmed by time-lapse photographs, the absence of high bottom current velocities immediately prior to the carcass position shift, corroborate our hypothesis that large shark(s) may have played a role in dislodging the carcass. These types of observations, and the enhancement of our understanding of whale fall community succession, at much finer temporal resolution, could be further improved if we had an even higher temporal resolution in the photographic sampling rate. Something that could easily be achieved with the use of a cabled-observatory infrastructure20,26,27.
Another remarkable finding of our study was the evidence for a diel temporal niche partitioning among species belonging to distinct trophic groups. In essence, scavengers (S. parasitica and M. kaempferi) and predators (P. gissu) alternated their occurrence (and peak densities) at the carcass, with the former group peaking during the night and the latter during the day (see Fig. 5). This short-term temporal niche partitioning strategy, found in wide range of terrestrial and marine communities competing for common resources (e.g. food or habitat), results in an enhancing survivorship for the avoidance of physical conflict18,41,42. Here, the whale carrion was the primary food resource being partitioned, being at the same time a prey attractor during the continuous ecological successional stages2. Therefore, the carrion acted as two directly correlated niche dimensions: food and primal habitat. The first attracting scavengers through odor plume dispersal43,44,45, and the second attracting predators to an optimal foraging habitat2,3. In macrourid fishes for example, indications of intra- and interspecific temporal niche partitioning were obtained near baited cameras in abyssal settings (reviewed in45). Fish individuals tended to leave unconsumed bait to avoid competition when foraging opportunity dropped below the average level for the background environment, supporting the framework of optimal foraging theories43,45,46.
In conclusion, our study brings some new insights about the temporal dynamics of community succession around whale fall habitats. Using combined high-frequency time-lapse photography and oceanographic data acquisition, we were able to show how species-specific behavioral rhythms influence community composition at shorter (diel, and weekly) time-scales near the carcass. Additionally, we obtained evidences supporting the occurrence of niche partitioning based on species interactions that may play a significant role in overall community succession and energy dispersal from whale carcasses into adjacent deep-sea open slope environments. Particularly, in light of our findings we propose a revision, or perhaps an addition to Stockton and Delaca’s conceptual model16 of energy dispersal from punctual sources of food falls in the deep seafloor (Fig. 7). Our new proposed model would encompass the effects of shorter time scale variability in faunal occurrence and activity near a large carcass due to day-night and tidally driven behavioral rhythms, which could further enhance the spatial footprint of energy dispersal in the form of particulate and dissolved organic matter, but more importantly, by fecal material released from species undergoing large rhythmic displacements along the slope and across wide depth ranges.
Smith, C. R., Kukert, H., Wheatcroft, R. A., Jumars, P. A. & Deming, J. W. Vent fauna on whale remains. Nature 341(6237), 27–28 (1989).
Smith, C. R. & Baco, A. R. Ecology of whale falls at the Deep-sea floor. Mar. Ecol Ann. Rev. 41, 311–354 (2003).
Smith, C. R., Glover, A. G., Treude, T., Higgs, N. D. & Amon, D. J. Whale-fall ecosystems: recent insights into ecology, paleoecology, and evolution. Ann. Rev. Mar. Sci. 7, 571–596 (2015).
Sumida, P. Y. G. et al. Deep-sea whale fall fauna from the Atlantic resembles that of the Pacific Ocean. Sci. Rep. 6, 22139 (2016).
Baco, A. R., Smith, C. R., Peek, A. S., Roderick, G. K. & Vrijenhoek, R. C. The phylogenetic relationships of whale-fall vesicomyid clams based on mitochondrial COI DNA sequences. Mar. Ecol. Prog. Ser. 182, 137–147 (1999).
Fujiwara, Y. et al. Three-year investigations into sperm whale-fall ecosystems in Japan. Mar. Ecol. 28, 219–232 (2007).
Lorion, J. et al. Adaptive radiation of chemosymbiotic deep-sea mussels. Proc. R. Soc. B 280, 20131243 (2013).
Higgs, N. D., Little, C. T. & Glover, A. G. Bones as biofuel: a review of whale bone composition with implications for deep-sea biology and palaeoanthropology. Proc. R. Soc. B 278, 9–17 (2011).
Lundsten, L. et al. Time-series analysis of six whale-fall communities in Monterey Canyon, California, USA. Deep-Sea Res. I 57, 1573–1584 (2010).
Wagner, H. J., Kemp, K., Mattheus, U. & Priede, I. G. Rhythms at the bottom of the deep-sea: Cyclic current flow changes and melatonin patterns in two species o demersal fish. Deep-Sea Res. I 54, 1944–1956 (2007).
Aguzzi, J. et al. Activity rhythms in the deep-sea: A chronobiological approach. Front. Biosci. 16, 131–150 (2011).
Billet, D. S. M., Lampitt, R. S., Rice, A. L. & Mantoura, R. C. F. Seasonal sedimentation of phytoplankton to the deep-sea benthos. Nature 302, 520–522 (1983).
Graf, G. Benthic-pelagic coupling in a deep-sea benthic community. Nature 341, 437–439 (1989).
Fanelli, E. et al. Food web structure of the megabenthic, invertebrate epifauna on the Catalan slope (NW Mediterranean): evidence from δ13C and δ15N analysis. Deep-Sea Res. I 58, 98–109 (2011).
Aguzzi, J. & Company, J. B. Chronobiology of deep-water decapod crustaceans on continental margins. Adv. Mar. Biol. 58, 155–225 (2010).
Stockton, W. L. & DeLaca, T. E. Food falls in the deep sea: occurrence, quality, and significance. Deep-Sea Res. I 29, 157–169 (1982).
Aguzzi, J., Sbragaglia, V., Tecchio, S. & Navarro, J. & Company, J.B. Rhythmic behaviour of marine benthopelagic species and the synchronous dynamics of benthic communities. Deep-Sea Res. I 95, 1–11 (2015).
Kronfeld-Schor, N. & Dayan, T. Partitioning of time as an ecological resource. Annu. Rev. Ecol. Evol. Syst. 34, 153–181 (2003).
Lundsten, L., Paull, C. K., Schlining, K. L., McGann, M. & Ussler, W. Biological characterization of a whale-fall near Vancouver Island, British Columbia, Canada. Deep-Sea Res. I 57, 918–922 (2010).
De Leo, F. C., Fleury, A., Smith, C. R., Levin, L. A. & Aguzzi, J. Early benthic successional processes at implanted substrates in Barkley Submarine Canyon affected by a permanent oxygen minimum zone. AGU Ocean Sciences Meeting, New Orleans, Abstract no. 92112 (2016).
Refinetti, R. Circadian physiology (2nd Ed). (Boca Raton, Fla, CRC Press, 2006).
Aguzzi, J. et al. Behavioral rhythms of hydrocarbon seep fauna in relation to internal tides. Mar. Ecol. Prog. Ser. 418, 47–56 (2010).
Natarajan, P. External synchroniser of tidal activity rhythms in the prawns Panaeus indicus and Paeneus monodon. Mar. Biol. 101, 347–354 (1989).
Beale, A. D., Whitmore, D. & Moran, D. Life in a dark biosphere: a review of circadian physiology in “arrhythmic” environments. J. Comp. Physiol. B 186, 947–968 (2016).
Audrey, M. M., Dunster, G. P., Sbragaglia, V., Aguzzi, J. & de la Iglesia, H. O. Influence of temperature on circadian locomotor activity in the crab Uca pugilator. PLoS ONE 12, e0175403 (2017).
Aguzzi, J. et al. Challenges to assessment of benthic populations and biodiversity as a result of rhythmic behaviour: Video solutions from cabled observatories. Oceanogr. Mar. Biol. Ann. Rev. 50, 235–286 (2012).
Aguzzi, J. et al. Coastal observatories for monitoring of fish behaviour and their responses to environmental changes. Rev. Fish Biol. Fish. 25, 463–483 (2015).
Chiesa, J. J., Aguzzi, J., García, J. A., Sardà, F. & de la Iglesia, H. Light intensity determines temporal niche switching of behavioral activity in deep-water Nephrops norvegicus (Crustacea: Decapoda). J. Biol. Rhyth. 25, 277–287 (2010).
Aguzzi, J., Bullock, N. & Tosini, G. Spontaneous internal desynchronization of locomotor activity and body temperature rhythms from plasma melatonin rhythm in rats exposed to constant dim light. J. Circad. Rhyth. 4, 6, https://doi.org/10.1186/1740-3391-4-6 (2006).
Clarke, K. R., Somerfield, P. J. & Gorley, R. N. Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage. J. Exp. Mar. Biol. Ecol. 366, 56–69 (2008).
Anderson, M. J., Gorley, R. N. & Clarke, R. K. Permanova+ for Primer: Guide to Software and Statistical Methods PRIMER-E, Plymouth (2008).
Clarke, K. R. & Gorley, R. N. PRIMERv6: User Manual/Tutorial. PRIMER-E, Plymouth (2006).
Legendre, P. & Legendre, L. Numerical Ecology (2nd Ed). Elsevier, 853 pp. (1998).
Aguzzi, J. et al. Inertial bioluminescence rhythms at the Central Mediterranean KM3NeT deep-sea neutrino telescope. Sci. Rep. 7, 44938 (2017).
Doya, C. et al. Diel behavioral rhythms in the sablefish (Anoplopoma fimbria) and other benthic species, as recorded by deep-sea cabled observatories in Barkley canyon (NEPTUNE-Canada). J. Mar. Syst. 130, 69–78 (2014).
Benoit-Bird, K. J. & Au, W. W. Extreme diel horizontal migrations by a tropical nearshore resident micronekton community. Mar. Ecol. Prog. Ser. 319, 1–14 (2006).
Suetsugu, K. & Ohta, S. Day-night changes in species composition of deep-sea demersal fishes. J. Oceanog. 61, 187–196 (2005).
Shinohara, G. H. E. & K. Matsuura, K. Deep-water fishes collected from the Pacific Coast of Northern Honshu, Japan. Mem. Natn. Sci. Mus. Tokyo 29, 153–185 (1996).
Dahlgren, T. G. et al. A shallow-water whale-fall experiment in the north Atlantic. Cah. Biol. Mar. 47, 385–389 (2006).
Last, P. R. & Stevens, J. D. Sharks and rays of Australia. CSIRO, Australia. 513 p (1994).
Hayward, M. W. & Slotow, R. Temporal partitioning of activity in large African carnivores: test of multiple hypothesis. S. Afr. J. Wildl. Res. 39, 109–125 (2009).
Krebbs, J. R. & Davies, N. B. Behavioural ecology: An evolutionary approach, (Blackwell, 1997).
Okamoto, K. Limb loss in the giant spider crab. Macrocheira kaempferi. Bull. Shizuoka Prefectural Fish. Experiment. Stat. 36, 25–27 (2001).
Bailey, D. M., King, N. J. & Priede, I. G. Cameras and carcasses: Historical and current methods for using artificial food falls to study deep-water animals. Mar. Ecol. Prog. Ser. 350, 179–191 (2007).
Jamieson, A. J., Bailey, D. M., Wagner, H. J., Bagley, P. M. & Priede, I. G. Behavioural responses to structures on the seafloor by the deep-sea fish Coryphaenoides armatus: Implications for the use of baited landers. Deep Sea Res. I 53, 1157–1166 (2006).
Bailey, D. M. et al. High swimming and metabolic activity in the deep-sea eel Synaphobranchus kaupii revealed by integrated in situ and in vitro measurements. Physiol. Biochem. Zool. 78, 335–346 (2005).
Roberts, D., Gebruk, A., Levin, V. & Manship, B. A. D. Feeding and digestive strategies in deposit-feeding holothurians. Ocean. Mar. Biol. Ann Rev. 38, 257–310 (2000).
Gage, J. D. Ecosystems of the world, 28. (Tyler P. Ed.). (Elsevier, Amsterdam, 2003).
Mortensen, T. On the vegetarian diet of some deep-sea echinoids. Annot. Zool. Japo. 17, 225–228 (1938).
Francour, P. Predation on Holothurians: A literature review. Inv. Biol. 116, 52–60 (1997).
Fujita, T. & Ohta, S. Size structure of dense populations of the brittle star Ophiura sarsii (Ophiuroidea: Echinodermata) in the bathyal zone around Japan. Mar. Ecol. Progr. Ser., 113-122 (1990).
Aguzzi, J. et al. Shifting feeding behaviour of deep-sea buccinid gastropods at natural and simulated food falls. Mar. Ecol. Prog. Ser. 458, 247–253 (2012).
Matsui, T., Moriyama, T. & Kato, R. Burrow plasticity in the deep-sea Isopod Bathynomus doederleini (Crustacea: Isopoda: Cirolanidae). Zoolog. Sci. 28, 863–868 (2011).
Ueda, R., Yasuhara, T., Sugita, H. & Deguchi, Y. Gut microflora of the Japanese giant crab Macrocheira kaempferi. Bull. Japan. Soc. Sci. Fish. 55, 181 (1989).
Andrews, K. S. et al. Diel activity patterns of sixgill sharks, Hexanchus griseus: The ups and downs of an apex predator. Anim. Behav. 78, 525–536 (2009).
Taniuchi, T. Aspects of reproduction and food habits of the Japanese Swell shark Cephaloscyllium umbratile from Choshi, Japan. Nipp. Suisan Gakkashi 54, 627–633 (1988).
Cohen, D.M., Inada, T., Iwamoto, T. & Scialabba, N. FAO species catalogue. Vol. 10. Gadiform fishes of the world (Order Gadiformes). An annotated and illustrated catalogue of cods, hakes, grenadiers and other gadiform fishes known to date. FAO Fish. Synop. 125, Rome: FAO. 442 p. (1990).
Fujita, T. et al. Diets of the demersal fishes on the shelf off Iwate, North Japan. Biol. 123, 219–233 (1995).
Balanov, A. A., Moku, M., Kawaguch, I. K. & Shinohara, G. Fish collected by commercial size midwater trawls form the Pacific Coast off Northern Japan. Nat. Mus. Nature Sci. Monogr. 39, 655–681 (2009).
Okamoto, M., Sato, N., Asahida, T. & Watanabe, Y. Pelagic Juveniles of Two Morids (Teleostei: Gadiformes: Moridae), Antimora microlepis and Physiculus japonicus, from the Western North Pacific. Species Diversity 12, 17–27 (2007).
Anderson, M. E. Food habits of some deep-sea fish off South Africa’s west coast. 2. Eels and spiny eels (Anguilliformes and Notacanthiformes). Afr. J. Marine Sci 27, 557–566 (2005).
Zinzen, V., Rogers, K. M., Roberts, C. D., Stewart, A. L. & Anderson, M. J. Hagfish feeding habits along a depth gradient inferred from stable isotopes. Mar. Ecol. Prog. Ser. 485, 223–234 (2013).
This study resulted from collaboration between the principal investigators and the Japan Broadcasting Corporation (NHK) and the Discovery Channel. The authors also wish to thank the operation teams of the ROV Hyper-Dolphin and HOV Triton, and the captains and crew of the R/V Natsushima and R/V Alucia. JA belongs to the Associated CSIC-UPC Unit Tecnoterra, controlling the OBSEA EMSO testing-site.
The authors declare no competing interests.
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Aguzzi, J., Fanelli, E., Ciuffardi, T. et al. Faunal activity rhythms influencing early community succession of an implanted whale carcass offshore Sagami Bay, Japan. Sci Rep 8, 11163 (2018). https://doi.org/10.1038/s41598-018-29431-5
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