Summary
Carbon dioxide is increasing in the atmosphere promoting the faster environmental change of the Earth’s recent history. Several marine carbon dioxide removal (mCDR) technologies were proposed to slow down CO2 in the atmosphere. Technologies now under experimentation are related to the increase in gravitational flux. Other mechanisms such as active flux, the transport performed by diel vertical migrants (DVMs) were not considered. We review the effect of DVMs in the epipelagic realm and the top-down promoted by these organisms upon zooplankton and microzooplankton, and their variability due to lunar cycles. A night source of weak light will increase epipelagic zooplankton biomass due to DVMs avoidance from the upper layers to escape predation, promoting DVMs to export this biomass by active flux once the illumination ceases. This mCDR method should be tested in the field as it will increase the efficiency of the biological carbon pump in the ocean.
Subject areas: Biogeochemistry, Environmental management, Aquatic science, Oceanography
Graphical abstract

Biogeochemistry; Environmental management; Aquatic science; Oceanography
Introduction
Climate change is the major problem facing the humankind and the planet. The massive emission of carbon dioxide and other greenhouse gases into the atmosphere after the industrial revolution is promoting the faster environmental and societal changes of the recent history of the Earth. Important and urgent changes in our economy and the way we are using resources are required to face the problem of reversing a drastic shift in the global climate. The use of renewable energies is the immediate “vaccine” to stabilize the global temperature. However, this takes time and requires an enormous economic effort which is unaffordable at the short term. Although countries with large economies could promote these changes at a reasonable time schedule, most of the population living in developing countries will be unable to cope with them. Moreover, it would not be fair to make these countries bear the cost of the problem, which they did not create, but instead their inhabitants are suffering. Thus, urgent actions must be taken to slow down the global change.
After a long period of discussion, scientists are now aware that artificial carbon dioxide removal (CDR) should be promoted to generate negative emissions. These technologies are the immediate “anti-viral” which, jointly to the increase in renewable energies, should conduct our planet and society to a sustainable environment. There exist several CDR proposals1 with the potentiality to considerably slow down CO2 levels. The summatory of all these actions could promote the desired global CDR but at a relatively high economical cost (afforestation, ocean fertilization, artificial upwelling, enhanced weathering, CO2 capture, etc.).
The oceans have the largest potentiality to store carbon as they are 70% of the Earth’s surface but also because carbon could be exported and sequestered (sensu Lampitt et al.2), retaining large quantities of CO2 during hundreds of years. In fact, the first marine carbon dioxide removal (mCDR) proposal of providing phytoplankton with iron in high nutrient–low chlorophyll (HNLC) areas of the oceans seeks to fertilize large areas to promote carbon export.3 Biogeochemical secondary effects such as oxygen consumption and/or increase in other greenhouse gases (N2O, CH4, …) were promptly raised, suggesting potential problems.4,5 Relatively low export of carbon into deeper waters6 and potentially stimulating the growth of toxigenic diatom species7 were also raised. Several experiments provided conflicting results8 and, finally, environmentalists and some scientists were against this negative emission technology as the change to renewable energies was a priority. However, unfortunately, a proper evaluation of this method was never done.
Other mCDR technologies such as artificial upwelling or enhancing ocean alkalinity among others were recently proposed and reviewed.9 mCDR technologies are mainly related to the increase of primary production to promote higher sinking of particulate organic carbon (POC flux; e.g., iron fertilization and artificial upwelling) or artificial ocean alkalinization using mineral weathering processes to induce pCO2 decline in surface waters. These methods are mostly based on the use of external compounds to the natural environment to promote mCDR. They are now under research in order to know if these actions interfere with the ocean life.
Most of the technologies now under debate and experimentation in mCDR are related to the gravitational flux, the transport of POC to deep waters, as a major component of the biological carbon pump (about 70% of total flux) in the ocean.10 Other mechanisms of downward carbon transport are the physical mixing of particles and dissolved organic carbon (POC and DOC, respectively) transporting about 20% of the total flux.10 Active flux is the transport of carbon performed by zooplankton and micronekton diel vertical migrants (DVMs) by feeding in the upper layers of the ocean and respiring, excreting, egesting carbon, and dying in deep waters. Their downward carbon transfer was also recently estimated to be about 10% of total transport.10 However, these organisms perform the largest migration on Earth11 roughly moving 1015 gC·d−1 and consuming epipelagic zooplankton,12,13,14 thus affecting their biomass. Mesopelagic fishes and decapods daily consumption also accounted for 25–30% of zooplankton daily production in the Gulf of Mexico.11,12,13,14 Thus, the impact of these migrants on epipelagic zooplankton is significant and the latter prey upon smaller organisms, thus affecting the structure of epipelagic communities. The effect of migrants in the fate of carbon flux in the euphotic zone has been scarcely studied.
However, active flux was observed to vary in a large proportion in relation to productivity in the Atlantic Ocean accounting for only 25% of the passive plus active flux in the oligotrophic ocean but reaching values of 80% in productive waters.15 This high importance of DVMs in total flux was also observed in the productive waters of the Costa Rica Dome in which most of the downward transport was performed by DVMs.16 Global models approaching the importance of gravitational, physical, and migrant pumps10,17,18 found the lower magnitudes in active flux, supporting the results observed at a basin-scale in the Atlantic Ocean15 as most of the oceans are oligotrophic. However, downward flux is mostly driven by migrants in productive waters15,16 and, as recently observed, zooplankton biomass increases in the meso- and bathypelagic layers below areas of higher primary production,19 suggesting an outstanding role of these communities in transporting carbon downward in productive areas of the ocean.
Thus, the migrant pump is relatively unknown and the effect of these communities to transport carbon downward is relatively unexplored. Besides, studies relating active flux and mCDR are also lacking. Here, we perform a first approach to relate the mechanisms of carbon transport promoted by this pelagic fauna and the top-down effects promoted by these organisms by feeding in the upper layers of the ocean. Then, we ask whether this migrant pump could be used in the future to drawdown carbon from the atmosphere.
Diel vertical migration and epipelagic zooplankton variability
Non-migrant zooplankton as food for the diel vertical migrants
Epipelagic zooplankton, those species remaining in the shallower layers during day and nighttime, are the main prey of most DVMs.20 These epipelagic species show a wide body size spectrum from small species such as those belonging to the microzooplankton (e.g., dinoflagellates, ciliates, copepod nauplii, etc), to mesozooplankton such as the genus Oithona and Oncaea, and the typical calanoids such as Calanus, Paracalanus, and Clausocalanus among others. The variability of these organisms is mostly related to primary production but also to the predatory activity of other zooplankton such as chaetognaths and most DVMs such as euphausiids, mesopelagic fishes, and decapods. Daily consumption by these migrants accounted for 25-30% of zooplankton daily production as stated above.12,13,14 Despite the impact of these migrants on the epipelagic zooplankton biomass, they were scarcely studied as an important component of the ocean food web until the seminal paper by Longhurst et al.21 about active flux in the ocean. This downward migration transports a significant portion of carbon produced in the upper layers15,16,21 to the meso- and bathypelagic zones.22,23
Effect of migrants on epipelagic zooplankton
Besides the estimations made by Hopkins and Gartner12 and Hopkins et al.14 about daily predation by migrants upon epipelagic zooplankton, there is rather poor information about this predatory impact. This is due to the inherent difficulty to assess this effect in laboratory and field studies. However, another way to study the impact of DVMs upon epipelagic zooplankton is to monitor and model the short-term variability of zooplankton biomass in the upper productive layer of subtropical waters. Scenarios of relatively high and low zooplankton biomass were commonly observed in these waters in relation to lunar cycles.24 This variability of different species of copepods in relation to the lunar cycle was observed long ago in African lakes.25 Here, zooplankton increased around the full moon as the effect of the lack of predation by small planktotrophic fishes upon the different species of zooplankton. These small fishes avoided predation by large fishes remaining near the bottom of the lake during the illuminated period of the lunar cycle. In this way, zooplankton was free from predation during that illuminated period, growing and increasing their abundance and biomass. After the full moon, dark periods increase during nights allowing planktotrophic fishes to prey upon the zooplankton crop.
Similarly, the lunar cycles observed in subtropical waters24 were explained as the effect of DVMs predation upon epipelagic zooplankton, as migrants do not reach the upper shallow waters during the illuminated period of the lunar cycle to avoid predation (Figure 1). This deeper distribution of DVMs during the full moon was observed from field data,26,27,28 and using acoustics,29,30 even at a global scale.31 DVM is not suppressed but organisms remain deeper, below 80–100 m depth. The absence of DVMs in the upper 80–100 m of the ocean during the full moon allows epipelagic zooplankton to grow and increase their biomass as observed several times in subtropical waters.24,32,33,34,35 This effect was mainly observed during the productive period in subtropical waters, the so-called late winter bloom (LWB). During winter, the lower atmospheric temperature promotes the deepening of the mixed layer due to convection, increasing nutrients in the euphotic layer. The increase in primary production led to the growth of epipelagic zooplankton biomass. However, it was observed to increase around the full moon during the winter productive period, decreasing thereafter as the effect of predation by DVMs (Figure 2). The biogeochemical effect of this cycle was evident as zooplankton and micronekton migrants depleted and transported the epipelagic zooplankton bloom to deep waters as they defecate, excrete, and respire this organic carbon there.33,34,35,36 This effect of moonlight on DVMs was also later described in polar waters.37
Figure 1.
Cartoon showing the distribution of planktonic organisms during daylight and the lunar cycle
The epiplanktonic layer is formed by phytoplankton, microzooplankton, and non-migrant small zooplankton (mainly calanoids and cyclopoids). The Deep Scattering Layer is composed of migrant zooplankton (mainly large copepods and euphausiids), mesopelagic fishes (mainly myctophids and non-migrant stomiids), and others (e.g., decapods and small cephalopods). During the dark phase of the lunar cycle migrants reach the epiplanktonic layer preying upon zooplankton, while during the illuminated phase of the lunar cycle migrants remain deeper because of moonlight makes them visible and vulnerable to predators (e.g., large fishes, cetaceans, …).
Figure 2.
Zooplankton biomass during lunar cycles
Zooplankton biomass (average and error bars) variability in relation to the lunar cyces (dashed line) during the Late Winter Bloom around the Canary Islands (redrawn from Hernández-León et al., 2010). Observe the sharp lunar cycles during the productive season in subtropical waters (January to March).
Top-down effects promoted by DVMs
Epipelagic zooplankton feeding upon lower trophic levels such a ciliates and dinoflagellates modifies the ocean community structure as predation upon microzooplankton release primary production as these protozoa are the main grazers in the ocean.38 Increased epipelagic zooplankton biomass (e.g., calanoid copepods) promote a decrease in ciliates and an increase in phytoplankton biomass as observed in mesocosms,39,40,41 and field samples in subtropical waters.42 These top-down effects foster a different food web structure in the euphotic zone of oceanic waters depending on the magnitude of the zooplankton biomass.43 Low zooplankton biomass releases microzooplankton from predation increasing their biomass and decreasing phytoplankton because of increased grazing (Figure 3A). By opposite, high zooplankton biomass promotes increased feeding upon microzooplankton and, therefore, a decrease of grazing pressure upon phytoplankton (Figure 3B). The consequence is a higher biomass of autotrophs consuming nutrients (new and regenerated production).
Figure 3.
Flux of energy and matter in the epipelagic zone
Conceptual model showing the flux of energy and matter between primary producers, microzooplankton, and mesozooplankton for (A) a typical scenario in subtropical waters of low mesozooplankton biomass and high microzooplankton biomass where energy and matter are recycled in the euphotic zone and mostly respired, and (B) a scenario with enhanced mesozooplankton biomass preying upon microzooplankton. Here, energy and matter are shunted to the mesopelagic zone through active flux (redrawn from Hernández-León43). Circles are proportional to relative biomass.
This trend was observed by Schmoker et al.44 studying the planktonic variability during the LWB in the subtropical waters. Epipelagic mesozooplankton, autotrophic picoplankton, and heterotrophic prokaryotes showed similar trends, whereas nano- and microplankton depicted an inverse pattern. The increase in mesozooplankton was parallel to the increase in autotrophic picoeukaryotes because of depletion of microzooplankton and, therefore, grazing. Microplankton was abundant only when mesozooplankton biomass was low. This pattern indicated the effect of DVMs promoting a cascade effect down to prokaryotes by preying upon epipelagic zooplankton, providing an example of the functioning of the pelagic realm in these low latitudes. As previously proposed,43 the lunar cycle of zooplankton biomass induced by DVMs promoted different top-down effects. High epipelagic zooplankton biomass during the illuminated period of the lunar cycle due to the absence of DVMs in shallow waters favored higher feeding upon microzooplankton and, therefore, an increase in phytoplankton. By opposite, low zooplankton biomass during the dark phase of the lunar cycle allowed microzooplankton to increase due to the absence of their predators, thus grazing upon primary producers (Figure 3).
As stated above, the epipelagic zooplankton crop produced during the illuminated period of the lunar cycle is thereafter preyed by DVMs during the dark phase, transporting this carbon to the deep waters by active flux. Energy from the rather small primary producers of subtropical waters (Prochlorococcus, Synechococcus, picoeukaryotes, etc.) is channeled through microzooplankton and finally packed into large particles such as the mesozooplankton biomass and their molts,45 carcasses,46 fecal pellets,47 and dead eggs.48 Thereafter, this energy and matter are transferred out of the euphotic zone by active and passive flux (Table 1).
Table 1.
Effects of weak ocean surface illumination upon diel vertical migrants, epipelagic mesozooplankton biomass, direct outcomes, food web impacts, and carbon export effects
| Effect of illumination | Direct effects | Direct outcome | Food web impacts | Carbon export effects |
|---|---|---|---|---|
| Diel vertical migrants forced to stay deeper during lunar illuminated nights and because of artificial illumination | Lower predation by diel vertical migrants upon epipelagic mesozooplankton | Increase in epipelagic mesozooplankton biomass | Higher mesozooplankton feeding upon microzooplankton grazers. | |
| Release of primary production from grazing by microzooplankton | ||||
| Increase in larger organisms and particles such as mesozooplankton, fecal pellets, molts, carcasses, and dead eggs | Increase in gravitational flux due large particles such as molts, fecal pellets, carcasses, and dead eggs | |||
| Diel vertical migrants allowed to stay in epipelagic waters during non-illuminated nights and because of switching off artificial illumination | Higher predation of diel vertical migrants upon epipelagic mesozooplankton | Decrease in epipelagic mesozooplankton biomass | Lower mesozooplankton biomass and then lower feeding upon microzooplankton grazers | |
| Decrease of primary producers due to the increase of microzooplankton and their grazing | ||||
| Decrease of mesozooplankton biomass due to predation by diel vertical migrants | Increase in active flux due to transport of carbon to deep waters and respiration, excretion, defecation, and mortality at depth |
Thus, the old paradigm of a classical food chain in the ocean by which energy from photosynthesis is transferred to zooplankton and fishes49 evolved to a more comprehensive view of a food web in which viruses, prokaryotes, nano- and dinoflagellates, and ciliates played a central role in energy transfer to upper trophic levels. The so-called microbial loop50,51 described a more complex energy transfer in the ocean, as previously observed in many studies about the role of these small organisms in the water column. The ocean food web was found to hold a higher diversity and complexity, and relatively poorly known processes were thereafter unveiled. The role of small organisms providing dissolved organic carbon (DOC) to prokaryotes that were consumed by protozoa serving as food for metazoan zooplankton changed our knowledge about the functioning of marine ecosystems. These organisms were afterward accounted for biomass assessments as important components of the ocean food web.52 However, other organisms remained poorly considered as main components and energy drivers in the ocean. The DVMs composed by macrozooplankton, and especially micronektonic forms such as mesopelagic fishes, decapods, and cephalopods remained almost neglected in energy budgets. This large fauna is not normally sampled on board oceanographic research vessels as the use of large nets or trawls is very costly and time-consuming. As with the components of the microbial loop in the past, these large organisms were underestimated as main components of the ocean food web. In fact, biomass evaluations at a global scale52 did not consider them, probably because of the lack of biomass data for these large animals.
The export and sequestration of energy and matter through these large organisms was previously called the macrobial pathway.43 The interplay among the microbial and macrobial pathways promotes a net transport of epipelagic zooplankton biomass by active flux. A rough assessment of this transport simulating the lunar cycle of zooplankton biomass and assuming zooplankton growth and mortality proportional to the lunar illumination35 showed values higher than gravitational flux measured in the Canary Current.53
Ecological controls and downward carbon transport in the ocean
Trophic controls in ecosystems are one the most fundamental research questions in ecology.54 Most of the research about bottom-up and top-down effects in aquatic systems were studied in freshwater ecosystems.55 However, as the latter authors emphasize, the large number of these studies in lakes may pose valuable insights for marine ecosystems. In our finding of the top-down effects induced by the lunar cycle in the ocean, the study in lakes25 inspired our research about the role of the mesopelagic migrant fauna in driving active carbon flux in the ocean. Research in freshwater ecosystems also provided knowledge scarcely applied in marine ecosystems. In this sense, biomanipulation is used in lakes to restore the aquatic communities and its theory56,57,58 predicts changes in ecosystems by adding or suppressing upper trophic levels. These manipulations promote restoring the ecosystem by fostering changes in the presence or not of some components of the food web. Biomanipulation is a concept by which the structure of the community is slightly modified to promote a different pathway of energy without increasing the natural production of the system. Properly designed and tested, it promotes restoration by fostering the presence or not of organisms (e.g., fishes in lakes). Thus, we wonder whether it should be possible to intervene in the natural system at a larger scale in the ocean using the concept of biomanipulation to avoid as much impacts as possible on ocean ecosystems. We speculate if mCDR could be promoted without increasing primary production based on an increase of the biological carbon pump (BCP) efficiency using biomanipulation.
Light promoting higher efficiency of the biological carbon pump
The lunar cycle described above promoted higher biomass of epipelagic zooplankton as the effect of moonlight. The predation of DVMs upon epipelagic zooplankton during the dark phase of the lunar cycle transported carbon by active flux as described above. The feeding of the increased epipelagic mesozooplankton upon microzooplankton converts small particles (nanoflagellates, dinoflagellates, ciliates, etc) into large particles with a higher sinking rate as also stated above. In this way, if DVMs remain longer out of the upper productive waters during the lunar cycle as the effect of e.g., the absence of clouds, epipelagic zooplankton biomass can grow during a longer time without predation, also increasing, in turn, their biomass which will be available to DVMs. Our hypothesis here is that this effect could be induced and enhanced by artificially illuminating the ocean surface, thus enhancing the efficiency of the BCP.
Lunar illumination has a maximum intensity of about 0.3 lux59 which is a rather low intensity easily affordable for an experiment reinforcing the natural illumination from crescent to waning moon, filling the gaps in moonlighting due to e.g., clouds, lunar timing, lunar angle, phase,… The active flux surplus could be obtained following the evolution of epipelagic zooplankton in the illuminated area. Another area without illumination will be followed as a control (natural active flux). POC flux should be also measured as well as CO2, nutrients, and phytoplankton and microplankton composition. Although more difficult because of problems related to the assessment of fish biomass,60 zooplankton and micronekton active flux should be measured and compared to the epipelagic zooplankton decrease due to predation by DVMs. POC flux due to the increase in epipelagic zooplankton biomass and the associated production of fecal pellets, carcasses, molts, and dead eggs should be added to the estimation of active flux. The amount of carbon transported is obtained knowing the variability in epipelagic zooplankton biomass which is simply measured in the illuminated (active flux surplus) and non-illuminated zones (natural active flux) plus the increase in larger particles.
These mCDR experiments will be performed during the LWB in subtropical waters (January to March in the northern hemisphere) when lower atmospheric temperature promotes the deepening of the mixed layer due to convection, increasing nutrients in the illuminated layers of the ocean. In this way, a depletion of nutrients affecting long-term primary production in shallower layers is not promoted, not limiting baseline production over time. Thus, the magnitude of the natural and enhanced blooms will be related to atmospheric temperature promoting mixing. A cold winter will promote a longer natural and enhanced bloom. Similarly, colder temperatures near the temperate zones will promote longer and productive blooms than in areas near the tropical zone. Thus, carbon transport will also vary with latitude.
The effect of lunar illumination on DVMs was observed in other latitudes such as the Arctic Ocean37 but the effect of moon illumination on DVMs and active flux is unknown in other latitudes such as the quite productive temperate zones of the northern and southern hemispheres. Sharp DVMs were observed in the temperate zone of the North Atlantic Ocean,61 thus, lunar cycles in epipelagic zooplankton should also be expected. Research on this short-term variability of epipelagic zooplankton due to lunar illumination in productive areas needs further research.
In order to provide an account of the potentiality of the mCDR approach, we performed a simple model as those used in previous publications35 to obtain values of mCDR in relation to days of illumination, different growth values of epipelagic zooplankton obtained in the literature, and ocean surface illuminated (see Supplemental Information). The results of illuminating a small area of the ocean provided a slight active flux surplus in relation to the natural active flux showing that the transport will not promote large amounts of carbon downward, decreasing adverse effects in the meso- and bathypelagic layers. So, the mCDR will depend on the ocean illuminated area. Scaling up the illuminated area for larger mCDR is possible but it is outside the scope of the present study.
Advantages of biomanipulation
The procedure explained above does not need to dump any matter into the ocean, does not increase primary production, nor increase CO2 in upper layers as it occurs during artificial upwelling. The only intervention is related to reinforcing a natural process avoiding the natural variability of lunar illumination (clouds, lunar timing, angle, phase, etc). Here, the equation relating primary production and respiration plus export is modified. More export promotes less respiration (and less CO2 flux to atmosphere), diverting export through active flux. This flux is more sensitive to the natural increase in primary production as the slope of the relationship between primary production and POC flux is rather low compared to the regression with the active flux.15 So, active flux sharply responds to an increase in productivity, while the gravitational flux does not respond in a similar proportion, probably because high epipelagic zooplankton biomass in productive systems attenuates particle flux.62,63,64 Thus, a high primary production could not promote a large export or sequestration of particles15 in quite productive areas of the Atlantic Ocean, explaining at least in part some of the results of iron fertilization experiments.
A new vision of mCDR procedures is also introduced based on the ecological theory such as food web controls rather than modifying the natural environment as most geoengineering procedures propose. In this sense, paraphrasing Poulin and Franks,65 resources determine how much carbon can be exported and sequestered, whereas consumers determine how much carbon is exported and sequestered. Here, export and sequestration are not dependent on increasing resources (increasing primary production) but on the way carbon is exported or sequestered. Procedures based on natural processes such as biomanipulation should be more environmentally friendly.
Moreover, export time of active flux is on average 150 years10 but much longer when carbon is sequestered into the thermohaline circulation. In this sense, it was recently observed that an increase in zooplankton biomass in the upper layers of the ocean is propagated downward through the meso- and bathypelagic zones.19 Thus, a sustained increase of this community during a prolonged illumination should feed deep-sea communities enhancing the downward transport. There is also evidence of DVMs toward the bathypelagic zone as observed from acoustics66,67 and field data.68 These poorly known migrations could sequester carbon for centuries, increasing the efficiency of the promoted active flux and relaying carbon to the deep-sea shunting the much slower passive flux.
Another advantage of the described procedure is that carbon transport is rather easily estimated as it is mainly related to measurements of epipelagic zooplankton biomass, which does not require a sophisticated technology. Moreover, it could be monitored using a new generation of biochemical Argo devices or gliders containing zooplankton and particle image systems. Thus, remote monitoring of the carbon exported could be done in almost real-time.
Indirect effects
Changes in the biomass of the different components of the food web structure due to top-down controls promote indirect effects.69 The mCDR proposed here is based on the manipulation of ocean predators (DVMs) to promote increased epipelagic zooplankton biomass. Also, there is an intervention on the ocean environment as the natural lunar cycle is artificially enlarged. Therefore, this action should be monitored to identify possible drawbacks due to indirect effects because of the longer illumination effect upon DVMs.
Migrant zooplankton, mesopelagic fishes, decapods, and cephalopods will be forced to stay just below the productive euphotic zone,31 so slightly lower levels of food could promote indirect effects. It is known that mesopelagic fishes show asynchronous migration by which only a portion of these organisms migrate each night.70 Fishes remain in deep waters not migrating every day and only part of the population that is hungry undergoes this migration.71 Moreover, it was observed72 some individuals move to shallower layers during daylight balancing their risk of predation and feeding. These organisms can remain in a fasting state during some days, predating in deep waters, or making incursions into upper layers in relation to the presence or not of predators. Thus, they could remain out of the epipelagic layer for days.72
However, the effect of lunar illumination does not suppress the DVM. It avoids the migrants to reach the upper lunar illuminated layer, mostly the upper 80–100 m layer, but they remain below this depth feeding there. Acoustic data at the global scale31 clearly showed DVMs reaching the upper 200 m layer and avoiding the upper 100 m layer during full moon nights. Thus, the lunar illumination does not promote severe starvation to harm these populations. Moreover, advection in the upper illuminated layer is much faster than below the seasonal thermocline and, therefore, the artificially illuminated area will drift over the mesopelagic water mass and their communities, diminishing the time affecting these organisms to reaching the upper 100 m depth. This time is related to ocean surface currents, and this will depend on the oceanic area.
It is known that top predators such as dolphins, pilot whales,73 and fur seals74 respond to lunar illumination having deeper and longer dives as the effect of having to forage deeper during the full moon as DVMs stay some tens of meters deeper. However, it seems that these larger organisms should be able to resist these slightly deeper dives. In any case, attention should be paid to mammal pups as they could be affected, not only because of possible starvation effects but also because an increase in predator encounters due to longer night illumination (e.g., predation by sharks). Also, tuna fishes could be forced to forage slightly deeper, but as cetaceans, these species can reach the nighttime residence depth of DVMs.75 Also, their large body mass should not be affected by slightly longer feeding difficulties.
Other indirect effects are those related to fish larvae in the ocean. It is known that moonlight enhances growth in larval fish76 as these organisms are visual predators and, therefore, they can also feed during illuminated nights. A review about the effect of moonlight on fishes and fisheries77 showed a positive effect of moonlight as the effect of higher larval growth due to enhanced zooplankton prey, and the lack of predators as DVMs remains deeper during the illuminated period. Thus, longer illumination of the ocean should promote a higher survival of fish larvae and a positive effect on fisheries. Similarly, seabirds are also favored by moon illumination as these organisms take advantage during the full moon to feed also at night.78 However, if these organisms feed upon mesopelagic organisms79 they could be affected negatively as migrants stay deeper during illuminated nights.
Finally, attention should be paid to avoid these mCDR technologies in oxygen minimum zones (OMZs) of the oceans80 as, although this procedure promotes a quite slight increase in downward carbon transport (see Supplemental Information), DVMs could affect these depleted oxygen zones.
These examples (compiled in Table 2) are given to recognize that these indirect effects should be tested at small and medium scales and monitored during the use of this procedure for mCDR. This biomanipulation slightly modifies night lighting in the ocean (filling the gaps in moonlighting from crescent to waning moon), consequently also slightly modifying the structure of marine ecosystems to increase the efficiency of the biological carbon pump. Thus, these indirect effects should be considered when testing these procedures.
Table 2.
Indirect effects of illumination due to changes in community structure due to top-down effects, expected impact, and research
| Effect of illumination | Indirect effects | Expected impact | Research |
|---|---|---|---|
| Diel vertical migrants forced to stay deeper during artificial illumination | Lower level of food experienced by diel vertical migrants, thus lower feeding and growth of these organisms | Low expected impact as diel vertical migrants can still feed upon zooplankton just below the illuminated layer Low expected impact as mesopelagic fishes also show asynchronous migrations, not reaching the epipelagic zone every night Low expected impact as advection is faster above the seasonal thermocline and, therefore, the enlighted water mass stay over the diel vertical migrant community for a shorter period, decreasing the time of forced deeper stay |
Study of feeding and growth of diel vertical migrants during artificial illumination Investigate asynchronous migrations and feeding at daytime residence depths Measurement of surface current field to estimate the time of forced deeper stay of micronekton |
| Diel vertical migrants forced to stay deeper during artificial illumination | Feeding of top predators such as large fish (e.g., tuna), cetaceans, and seals could be affected due to deeper nighttime residence of diel vertical migrants | Low expected impact as those large predators are able to easily reach 100–150 m depth for feeding Unknown predation by large top predators such as sharks due to illumination Unknown impact on mammal pups as they are not able to perform deep dives |
Study of the feeding of large predators and their migrations during artificial illumination Investigate this effect during moonlight nights Avoid experiments near islands and coastal zones |
| Feeding of fish larvae | Fish larvae are visual predator, so they can feed during lunar illuminated nights | Positive impact as fish larvae enhances growth during moonlight nights Predation of micronekton upon fish larvae should be lower as larvae inhabits shallow waters and micronekton stay deeper due to illumination |
Study of larvae growth during the illuminated period Study of fish larvae motility and their escapement ability at the end of the illuminated period because of their larger size |
| Feeding of seabirds | Seabirds take advantage of full moon illumination to feed at night | Positive impact as seabirds enhance feeding during illuminated nights Negative impact if these organisms feed upon diel vertical migrants |
Study of the feeding of seabirds in the area of mCDR experiments |
Outlook
Nature-based solutions are needed to remove carbon dioxide from the atmosphere. The proposal explained above changed the paradigm of mCDR in the oceans as it advanced a new concept based on biomanipulation. This is based on the application of the ecological theory related to top-down and bottom-up controls in nature. Playing with the components of the food web, mainly with upper trophic levels, it clearly established restoring solutions to rather small environments such as lakes. This concept is now scaled up to marine ecosystems and biomanipulation is suggested to be a next step in mCDR research, even if it is combined with other procedures such as iron fertilization or artificial upwelling.
The precautionary principle is a priority and scaling-up experiments should be carried out in small, illuminated parcels of the ocean. We have to account for the enormous variability of ocean climatology (eddies, fronts, etc), and the life associated with mesoscale structures, as well as to islands, seamounts, etc. In any case, this research should be started as experiments are simple and the technology is ready. To delay this science is rather reckless as it will deny the advancement of knowledge about the functioning of the marine trophic web. Ocean iron fertilization moved forward our knowledge of how nature works in the ocean, but unfortunately these field experiments were banished more than 15 years ago. A lot of time was lost since that ban. Now, we should foster this science by applying the precautionary approach. Its actual range will not be known until field tests could be carried out, and this is urgent.
These DVMs can shunt carbon to the meso- and bathypelagic zones in a rather short-time scale where carbon will remain for hundreds of years. This residence time of carbon is relevant as zooplankton biomass in deep layers’ mirror epipelagic productivity, showing an energy and matter transport to the bathypelagic zone.19 Moreover, it is also known that some organisms migrate into the bathypelagic zone,66,67,68 also promoting true carbon sequestration. The proposed carbon transport and other CDR procedures such as afforestation, reforestation, and other tested ocean approaches jointly to the slow change toward renewable energies could help to buy time to keep the planet temperature below the 1.5–2°C target.
Limitations of the study
Enhancement of carbon export and sequestration in the ocean is of paramount importance to avoid the accumulation of CO2 in the atmosphere. In almost a decade, and after an important decrease of net carbon emissions to the atmosphere, the drawdown of residual CO2 from the atmosphere will be a challenge to stabilize the global temperature. Different technologies were proposed (iron fertilization, alkalinity enhancement, etc.) and they are now under scrutiny. Here, it is proposed a technology based on the concept of biomanipulation with minimum interference with ocean communities and following a natural process. The methodology proposed should be tested in field experiments and its viability as marine carbon dioxide removal (mCDR) proved. Also, indirect effects potentially promoted by this method should be studied in these field experiments before any mCDR could be carried out in the future. Changes in the biomass of the different components of the food web structure due to top-down controls promote indirect effects. There is an intervention on the ocean environment as the natural lunar cycle is artificially enlarged. These indirect effects should be evaluated when testing this biomanipulation procedure.
Data and code availability
Model data generated during and/or analyzed during the current study will be available upon request.
Acknowledgments
The author wishes to thank Dr. J.M. Landeira, Dr. A. Bode, Dr. J. Arrieta, Dr. M. González-Dávila, and L. Armengol for their review of an early draft of this work. This study was funded by project DESAFÍO (PID2020-118118RB-I00) from the Spanish Ministry of Science and Innovation, and projects TRIATLAS (Grant Agreement 817578) and SUMMER (Grant Agreement 817806) from the European Union (EU) Horizon 2020 Research and Innovation Programme, and the EU Interreg projects of cooperation RESCOAST (MAC2/3.5b/314) and MACCLIMA (MAC2/3.5b/254) from the V-A MAC 2014-2020.
Author contributions
Concept developed by S.H.L.
Declaration of interests
The author declares no competing interest.
Inclusion and diversity
We support inclusive, diverse, and equitable conduct research.
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.isci.2023.107835.
Supplemental information
References
- 1.National Academies of Sciences . The National Academies Press; 2019. Engineering, and Medicine. Negative Emissions Technologies and Reliable Sequestration: A Research Agenda. [DOI] [PubMed] [Google Scholar]
- 2.Lampitt R.S., Achterberg E.P., Anderson T.R., Hughes J.A., Iglesias-Rodríguez M.D., Kelly-Gerreyn B.A., Lucas M., Popova E.E., Sanders R., Shepherd J.G., et al. Ocean fertilization: a potential means of geoengineering? Phil. Trans. R. Soc. A. 2008;366:3919–3945. doi: 10.1098/rsta.2008.0139. [DOI] [PubMed] [Google Scholar]
- 3.Martin J.H., Gordon R.M., Fitzwater S.E. Iron in Antarctic waters. Nature. 1990;345:156–158. doi: 10.1038/345156a0. [DOI] [Google Scholar]
- 4.Fuhrman J.A., Capone D.G. Possible biogeochemical consequences of ocean fertilization. Limnol. Oceanogr. 1991;36:1951–1959. doi: 10.4319/lo.1991.36.8.1951. [DOI] [Google Scholar]
- 5.Chisholm S.W., Falkowski P.G., Cullen J.J. Oceans. Dis-crediting ocean fertilization. Dis-crediting ocean fertilization Science. 2001;294:309–310. doi: 10.1126/science.1065349. [DOI] [PubMed] [Google Scholar]
- 6.De Baar H.J.W., Boyd P.W., Coale K.H., Landry M.R., Tsuda A., Assmy P., Bakker D.C.E., Bozec Y., Barber R.T., Brzezinski M.A., et al. Synthesis of eight in situ iron fertilizations in high nutrient low chlorophyll waters confirms the control by wind mixed layer depth of phytoplankton blooms. J. Geophys. Res. 2005;110:700–724. doi: 10.1029/2004JC002601. [DOI] [Google Scholar]
- 7.Silver M.W., Bargu S., Coale S.L., Benitez-Nelson C.R., Garcia A.C., Roberts K.J., Sekula-Wood E., Bruland K.W., Coale K.H. Toxic diatoms and domoic acid in natural and iron enriched waters of the oceanic Pacific. Proc. Natl. Acad. Sci. USA. 2010;107:20762–20767. doi: 10.1073/pnas.1006968107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yoon J.-E., Yoo K.-C., Macdonald A.M., Yoon H.I., Park K.T., Yang E.J., Kim H.C., Lee J.I., Lee M.K., Jung J., et al. Reviews and syntheses: Ocean iron fertilization experiments - past, present, and future looking to a future Korean Iron Fertilization Experiment in the Southern Ocean (KIFES) project. Biogeosciences. 2018;15:5847–5889. doi: 10.5194/bg-15-5847-2018. [DOI] [Google Scholar]
- 9.Gattuso J.-P., Williamson P., Duarte C.M., Magnan A.K. The Potential for Ocean-Based Climate Action: Negative Emissions Technologies and Beyond. Front. Clim. 2021;2 doi: 10.3389/fclim.2020.575716. [DOI] [Google Scholar]
- 10.Nowicki M., DeVries T., Siegel D.A. Quantifying the carbon export and sequestration pathways of the ocean's biological carbon pump. Global Biogeochem. Cycles. 2022;36 doi: 10.1029/2021GB007083. [DOI] [Google Scholar]
- 11.Longhurst A.R. Blackwell Scientific Publications; 1976. Vertical Migration. The Ecology of the Seas; pp. 116–137. [Google Scholar]
- 12.Hopkins T.L., Gartner J.V. Resource-partitioning and predation impact of a low-latitude myctophid community. Mar. Biol. 1992;114:185–197. doi: 10.1007/BF00349518. [DOI] [Google Scholar]
- 13.Kinsey S.T., Hopkins T.L. Trophic strategies of euphausiids in a low-latitude ecosystem. Mar. Biol. 1994;118:651–661. doi: 10.1007/BF00347513. [DOI] [Google Scholar]
- 14.Hopkins T.L., Sutton T.T., Lancraft T.M. The trophic structure and predation impact of a low latitude midwater fish assemblage. Prog. Oceanogr. 1996;38:205–239. doi: 10.1016/S0079-6611(97)00003-7. [DOI] [Google Scholar]
- 15.Hernández-León S., Olivar M.P., Fernández de Puelles M.L., Bode A., Castellón A., López-Pérez C., Tuset V., González-Gordillo J.I. Zooplankton and micronekton active flux across the tropical and subtropical Atlantic Ocean. Front. Mar. Sci. 2019;6:535. doi: 10.3389/fmars.2019.00535. [DOI] [Google Scholar]
- 16.Stukel M.R., Décima M., Landry M.R., Selph K.E. Nitrogen and isotope flows through the Costa Rica Dome upwelling ecosystem: The crucial mesozooplankton role in export flux. Global Biogeochem. Cycles. 2018;32:1815–1832. doi: 10.1029/2018GB005968. [DOI] [Google Scholar]
- 17.Aumont O., Maury O., Lefort S., Bopp L. Evaluating the potential impacts of the diurnal vertical migration by marine organisms on marine biogeochemistry. Global Biogeochem. Cycles. 2018;32:1622–1643. doi: 10.1029/2018GB005886. [DOI] [Google Scholar]
- 18.Archibald K.M., Siegel D.A., Doney S.C. Modeling the impact of zooplankton diel vertical migration on the carbon export flux of the biological pump. Global Biogeochem. Cycles. 2019;33:181–199. doi: 10.1029/2018GB005983. [DOI] [Google Scholar]
- 19.Hernández-León S., Koppelmann R., Fraile-Nuez E., Bode A., Mompeán C., Irigoien X., Olivar M.P., Echevarría F., Fernández de Puelles M.L., González-Gordillo J.I., et al. Large deep-sea zooplankton biomass mirrors primary production in the global ocean. Nat. Commun. 2020;11:1–8. doi: 10.1038/s41467-020-19875-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bernal A., Olivar M.P., Maynou F., Fernández de Puelles M.L. Diet and feeding strategies of mesopelagic fishes in the western Mediterranean. Prog. Oceanogr. 2015;135:1–17. doi: 10.1016/j.pocean.2015.03.005. [DOI] [Google Scholar]
- 21.Longhurst A.R., Bedo A.W., Harrison W.G., Head E.J.H., Sameoto D.D. Vertical flux of respiratory carbon by oceanic diel migrant biota. Deep-Sea Res. 1990;37:685–694. doi: 10.1016/0198-0149(90)90098-G. [DOI] [Google Scholar]
- 22.Vinogradov M.E. Israel Program for Scientific Translations; 1970. Vertical Distribution of the Oceanic Zooplankton; p. 333. [Google Scholar]
- 23.Angel M.V. In: Productivity of the Ocean: Present and Past. Berger W.H., Smetacek V.S., Wefer G., editors. John Wiley; 1989. Does mesopelagic biology affect the vertical flux? pp. 155–173. [Google Scholar]
- 24.Hernández-león S. Annual cycle of epiplanktonic copepods in Canary Island waters. Fish. Oceanogr. 1998;7:252–257. doi: 10.1046/j.1365-2419.1998.00071.x. [DOI] [Google Scholar]
- 25.Gliwicz Z.M. A lunar cycle in zooplankton. Ecology. 1986;67:883–897. doi: 10.2307/1939811. [DOI] [Google Scholar]
- 26.Clarke T. Some aspects of the ecology of lanternfishes in the Pacific Ocean near Hawaii. Fish. Bull. 1973;71:401–434. [Google Scholar]
- 27.Blaxter J.H.S. Light as an ecological factor. Blackwell Scientific Publ.; 1974. The role of light in the vertical migration of fish, a review; pp. 189–210. [Google Scholar]
- 28.Roger C. Influence de la phase et de l'éclairement lunaire sur les répartitions verticales nocturnes superficielles de crustacés macroplanctoniques (Euphausiacea) Cah. ORSTOM sér. Océanogr. 1974;12:159–171. [Google Scholar]
- 29.Pinot J.M., Jansá J. Time variability of acoustic backscatter from zooplankton in the Ibiza Channel (western Mediterranean) Deep-Sea Res. I. 2001;48:1651–1670. doi: 10.1016/S0967-0637(00)00095-9. [DOI] [Google Scholar]
- 30.Ochoa J., Maske H., Sheinbaumc J., Candela J. Diel and lunar cycles of vertical migration extending to below 1000 m in the ocean and the vertical connectivity of depth-tiered populations. Limnol. Oceanogr. 2013;58:1207–1214. doi: 10.4319/lo.2013.58.4.1207. [DOI] [Google Scholar]
- 31.Prihartato P.K., Irigoien X., Genton M.G., Kaartvedt S. Global effects of moon phase on nocturnal acoustic scattering layers. Mar. Ecol. Prog. Ser. 2016;544:65–75. doi: 10.3354/meps11612. [DOI] [Google Scholar]
- 32.Hernández-León S., Almeida C., Yebra L., Arístegui J., Fernández de Puelles M.L., García-Braun J. Zooplankton biomass in subtropical waters: Is there a lunar cycle? Sci. Mar. 2001;65:59–64. doi: 10.3989/scimar.2001.65s159. [DOI] [Google Scholar]
- 33.Hernández-León S., Almeida C., Yebra L., Arístegui J. Lunar cycle of zooplankton biomass in subtropical waters: biogeochemical implications. J. Plankton Res. 2002;24:935–939. doi: 10.1093/plankt/24.9.935. [DOI] [Google Scholar]
- 34.Hernández-León S., Almeida C., Bécognée P., Yebra L., Arístegui J. Zooplankton biomass and indices of grazing and metabolism during a Late Winter Bloom in subtropical waters. Mar. Biol. 2004;145:1191–1200. doi: 10.1007/s00227-004-1396-5. [DOI] [Google Scholar]
- 35.Hernάndez-LeÓn S., Franchy G., Moyano M., Menéndez I., Schmoker C., Putzeys S. Carbon sequestration and zooplankton lunar cycles: Could we be missing a major component of the biological pump? Limnol. Oceanogr. 2010;55:2503–2512. doi: 10.4319/lo.2010.55.6.2503. [DOI] [Google Scholar]
- 36.Putzeys S., Yebra L., Almeida C., Bécognée P., Hernández-León S. Influence of the late winter bloom on migrant zooplankton metabolism and its implications on export fluxes. J. Mar. Syst. 2011;88:553–562. doi: 10.1016/j.jmarsys.2011.07.005. [DOI] [Google Scholar]
- 37.Last K.S., Hobbs L., Berge J., Brierley A.S., Cottier F. Moonlight drives ocean-scale mass vertical migration of zooplankton during the Arctic winter. Curr. Biol. 2016;26:244–251. doi: 10.1016/j.cub.2015.11.038. [DOI] [PubMed] [Google Scholar]
- 38.Calbet A., Landry M.R. Phytoplankton growth, microzooplankton grazing, and carbon cycling in marine systems. Limnol. Oceanogr. 2004;49:51–57. doi: 10.4319/lo.2004.49.1.0051. [DOI] [Google Scholar]
- 39.Vadstein O., Stibor H., Lippert B., Løseth K., Roederer W., Sundt-Hansen L., Olsen Y. Moderate increase in the biomass of omnivorous copepods may ease grazing control of planktonic algae. Mar. Ecol. Prog. Ser. 2004;270:199–207. doi: 10.3354/meps270199. [DOI] [Google Scholar]
- 40.Stibor H., Vadstein O., Diehl S., Gelzleichter A., Hansen T., Hantzsche F., Katechakis A., Lippert B., Løseth K., Peters C., et al. Copepods act as a switch between alternative trophic cascades in marine pelagic food webs. Ecol. Lett. 2004;7:321–328. doi: 10.1111/j.1461-0248.2004.00580.x. [DOI] [Google Scholar]
- 41.Aberle N., Malzahn A.M., Lewandowska A.M., Sommer U. Some like it hot: the protozooplankton-copepod link in a warming ocean. Mar. Ecol. Prog. Ser. 2015;519:103–113. doi: 10.3354/meps11081. [DOI] [Google Scholar]
- 42.Armengol L., Franchy G., Ojeda A., Santana-del Pino Á., Hernández-León S. Effects of copepods on natural microplankton communities: Do they exert top-down control? Mar. Biol. 2017;164:136. doi: 10.1007/s00227-017-3165-2. [DOI] [Google Scholar]
- 43.Hernández-León S. Top-down effects and carbon flux in the ocean: A hypothesis. J. Mar. Syst. 2009;4:576–581. doi: 10.1016/j.jmarsys.2009.01.001. [DOI] [Google Scholar]
- 44.Schmoker C., Arístegui J., Hernández-León S. Planktonic biomass variability during a late winter bloom in the subtropical waters off the Canary Islands. J. Mar. Syst. 2012;95:24–31. doi: 10.1016/j.jmarsys.2012.01.008. [DOI] [Google Scholar]
- 45.Ritz D.A., Hosie G.W. Production of the euphausiid Nyctiphanes australis in Storm Bay, south-eastern Tasmania. Mar. Biol. 1982;68:103–108. doi: 10.1007/BF00393148. [DOI] [Google Scholar]
- 46.Tang K.W., Elliott D.T. Nova Science Publishers, Inc.; 2014. Copepod Carcasses: Occurrence, Fate, and Ecological Importance. Copepods: Diversity, Habitat, and Behavior; pp. 255–278. [Google Scholar]
- 47.Turner J.T. Zooplankton fecal pellets, marine snow, phytodetritus and the ocean’s biological pump. Prog. Oceanogr. 2015;130:205–248. doi: 10.1016/j.pocean.2014.08.005. [DOI] [Google Scholar]
- 48.Frangoulis C., Christou E.D., Hecq J.H. Comparison of marine copepod outfluxes: nature, rate, fate and role in the carbon and nitrogen cycles. Adv. Mar. Biol. 2005;47:253–309. doi: 10.1016/S0065-2881(04)47004-7. [DOI] [PubMed] [Google Scholar]
- 49.Steele J.H. Harvard University Press; 1976. The Structure of Marine Ecosystems. [Google Scholar]
- 50.Azam F., Fenchel T., Field J.G., Gray J.S., Meyer-Reil L.A., Thingstad F. The ecological role of water-column microbes in the sea. Mar. Ecol. Prog. Ser. 1983;10:257–263. doi: 10.3354/meps010257. [DOI] [Google Scholar]
- 51.Fenchel T. The microbial loop–25 years later. J. Exp. Mar. Biol. Ecol. 2008;366:99–103. doi: 10.1016/j.jembe.2008.07.013. [DOI] [Google Scholar]
- 52.Gasol J.M., Del Giorgio P.A., Duarte C.M. Biomass distribution in marine planktonic communities. Limnol. Oceanogr. 1997;42:1353–1363. doi: 10.4319/lo.1997.42.6.1353. [DOI] [Google Scholar]
- 53.Neuer S., Cianca A., Helmke P., Freudenthal T., Davenport R., Meggers H., Knoll M., Santana-Casiano J.M., González-Davila M., Rueda M.J., Llinás O. Biogeochemistry and hydrography in the eastern subtropical North Atlantic gyre. Results from the European time-series station ESTOC. Prog. Oceanogr. 2007;72:1–29. doi: 10.1016/j.pocean.2006.08.001. [DOI] [Google Scholar]
- 54.Heath M.R., Speirs D.C., Steele J.H. Understanding patterns and processes in models of trophic cascades. Ecol. Lett. 2014;17:101–114. doi: 10.1111/ele.12200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Hessen D.O., Kaartvedt S. Top-down cascades in lakes and oceans: Different perspectives but same story? J. Plankton Res. 2014;36:914–924. doi: 10.1093/plankt/fbu040. [DOI] [Google Scholar]
- 56.Shapiro J., Lamarra V., Lynch M. In: Proceedings of a Symposium on Water Quality Management Through Biological Control. Brezonik P., Fox L., editors. 1975. Biomanipulation, an Ecosystem Approach to Lake Restoration; pp. 85–96. [Google Scholar]
- 57.With J.S., Wright D.I. Lake restoration by biomanipulation: Round Lake, Minnesota, the first two years. Freshw. Biol. 1984;14:371–383. doi: 10.1111/j.1365-2427.1984.tb00161.x. [DOI] [Google Scholar]
- 58.Carpenter S.R., Kitchell J.F., Hodgson J.R., Cochran P.A., Elser J.J., Elser M.M., Lodge D.M., Kretchmer D., He X., von Ende C.N. Regulation of lake primary productivity by food web structure. Ecology. 1987;68:1863–1876. doi: 10.2307/1939878. [DOI] [PubMed] [Google Scholar]
- 59.Kyba C.C.M., Mohar A., Posch T. How bright is moonlight. Astron. Geophys. 2017;58:1.31–1.32. [Google Scholar]
- 60.Saba G.K., Burd A.B., Dunne J.P., Hernández-León S., Martin A.H., Rose K.A., Salisbury J., Steinberg D.K., Trueman C.N., Wilson R.W., Wilson S.E. Toward a better understanding of fish-based contribution to ocean carbon flux. Limnol. Oceanogr. 2021;66:1639–1664. doi: 10.1002/lno.11709. [DOI] [Google Scholar]
- 61.Peña M., Cabrera-Gámez J., Domínguez-Brito A.C. Multi-frequency and light-avoiding characteristics of deep acoustic layers in the North Atlantic. Mar. Environ. Res. 2020;154 doi: 10.1016/j.marenvres.2019.104842. [DOI] [PubMed] [Google Scholar]
- 62.Svensen C., Nejstgaard J.C. Is sedimentation of copepod faecal pellets determined by cyclopoids? Evidence from enclosed ecosystems. J. Plankton Res. 2003;25:917–926. doi: 10.1093/plankt/25.8.917. [DOI] [Google Scholar]
- 63.Mayor D.J., Gentleman W.C., Anderson T.R. Ocean carbon sequestration: Particle fragmentation by copepods as a significant unrecognised factor? Explicitly representing the role of copepods in biogeochemical models may fundamentally improve understanding of future ocean carbon storage. Bioessays. 2020;42 doi: 10.1002/bies.202000149. [DOI] [PubMed] [Google Scholar]
- 64.Stukel M.R., Ohman M.D., Kelly T.B., Biard T. The roles of suspension-feeding and flux-feeding zooplankton as gatekeepers of particle flux into the mesopelagic ocean in the Northeast Pacific. Front. Mar. Sci. 2019;6:397. doi: 10.3389/fmars.2019.00397. [DOI] [Google Scholar]
- 65.Poulin F.J., Franks P.J.S. Size-structured planktonic ecosystems: constraints, controls and assembly instructions. J. Plankton Res. 2010;32:1121–1130. doi: 10.1093/plankt/fbp145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.van Haren H., Compton T.J. Diel vertical migration in deep sea plankton is finely tuned to latitudinal and seasonal day length. PLoS One. 2013;8 doi: 10.1371/journal.pone.0064435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.van Haren H. Autumnal deep scattering layer from moored acoustic sensing in the subtropical Canary Basin. Mar. Biol. 2019;166:43–46. doi: 10.1007/s00227-019-3491-7. [DOI] [Google Scholar]
- 68.Badcock J., Merrett N.R. Vertical distribution and associated biology in 30oN, 23oW, with developmental notes on certain myctophids. Prog. Oceanogr. 1976;7:3–58. doi: 10.1016/0079-6611(76)90003-3. [DOI] [Google Scholar]
- 69.Estes J.A. In: Aquatic predators and their prey. Greenstreet S.P.R., Tasker M.L., editors. 1996. The influence of large, mobile predators in aquatic food webs: examples from sea otters and kelp forests; pp. 65–72. [Google Scholar]
- 70.Gartner J.V., Jr., Hopkins T.L., Baird R.C., Milliken D.M. The lanternfishes (Pisces: Myctophidae) of the eastern Gulf of Mexico. Fish. Bull. 1987;85:81–98. [Google Scholar]
- 71.Sutton T.T., Hopkins T.L. Trophic ecology of the stomiid (Pisces: Stomiidae) fish assemblage of the eastern Gulf of Mexico: Strategies, selectivity and impact of a top mesopelagic predator group. Mar. Biol. 1996;127:179–192. doi: 10.1007/BF00942102. [DOI] [Google Scholar]
- 72.Christiansen S., Klevjer T.A., Røstad A., Aksnes D.L., Kaartvedt S. Flexible behaviour in a mesopelagic fish (Maurolicus muelleri) ICES J. Mar. Sci. 2021;78:1623–1635. doi: 10.1093/icesjms/fsab075. [DOI] [Google Scholar]
- 73.Owen K., Andrews R.D., Baird R.W., Schorr G.S., Webster D.L. Lunar cycles influence the diving behavior and habitat use of short-finned pilot whales around the main Hawaiian Islands. Mar. Ecol. Prog. Ser. 2019;629:193–206. doi: 10.3354/meps13123. [DOI] [Google Scholar]
- 74.Trillmich F., Mohren W. Effects of the lunar cycle on the Galapagos fur seal, Arctocephalus galapagoensis. Oecologia. 1981;48:85–92. doi: 10.1007/BF00346992. [DOI] [PubMed] [Google Scholar]
- 75.Wilson S.G., Lutcavage M.E., Brill R.W., Genovese M.P., Cooper A.B., Everly A.W. Movements of bluefin tuna (Thunnus thynnus) in the northwestern Atlantic Ocean recorded by pop-up satellite archival tags. Mar. Biol. 2005;146:409–423. doi: 10.1007/s00227-004-1445-0. [DOI] [Google Scholar]
- 76.Shima J.S., Swearer S.E. Moonlight enhances growth in larval fish. Ecology. 2019;100:e02563. doi: 10.1002/ecy.2563. [DOI] [PubMed] [Google Scholar]
- 77.Hernández-León S. Natural variability of fisheries and lunar illumination: A hypothesis. Fish Fish. 2008;9:138–154. doi: 10.1111/j.1467-2979.2008.00272.x. [DOI] [Google Scholar]
- 78.Ravache A., Bourgeois K., Thibault M., Dromzée S., Weimerskirch H., De Grissac S., Vidal É., Lorrain A., Menkes C., Allain V., et al. Flying to the moon: Lunar cycle influences trip duration and nocturnal foraging behavior of the wedge-tailed shearwater Ardenna pacifica. J. Exp. Mar. Biol. Ecol. 2020;525 doi: 10.1016/j.jembe.2020.151322. [DOI] [Google Scholar]
- 79.Danielsen J., van Franeker J., Olsen B., Bengtson S. Preponderance of mesopelagic fish in the diet of the Northern Fulmar (Fulmarus glacialis) around the Faroe Islands. Seabird. 2010;23:66–75. [Google Scholar]
- 80.Bianchi D., Galbraith E.D., Carozza D.A., Mislan K.A.S., Stock C.A. Intensification of open-ocean oxygen depletion by vertically migrating animals. Nat. Geosci. 2013;6:545–548. doi: 10.1038/ngeo1837. [DOI] [Google Scholar]
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Supplementary Materials
Data Availability Statement
Model data generated during and/or analyzed during the current study will be available upon request.



