-
PDF
- Split View
-
Views
-
Cite
Cite
John Barry Gallagher, Victor Shelamoff, Cayne Layton, Seaweed ecosystems may not mitigate CO2 emissions, ICES Journal of Marine Science, Volume 79, Issue 3, April 2022, Pages 585–592, https://doi.org/10.1093/icesjms/fsac011
Close - Share Icon Share
Abstract
Global seaweed carbon sequestration estimates are currently taken as the fraction of the net primary production (NPP) exported to the deep ocean. However, this perspective does not account for CO2 from the consumption of external subsidies. Here, we clarify: (i) the role of export relative to seaweed net ecosystem production (NEP) for a closed system and one more likely open to subsidies; (ii) the importance of subsidies by compiling published estimates of NEP from seaweed-dominated ecosystems; and (iii) discuss their impact on the global seaweed net carbon balance and other sequestration constraints as a mitigation service. Examples of seaweed NEP (n = 18) were sparse and variable. Nevertheless, the average NEP (−4.0 mmol C m–2 d–1 SE ± 12.2) suggested that seaweed ecosystems are a C source, becoming increasingly heterotrophic as their export is consumed. Critically, mitigation of greenhouse gas emissions was mixed relative to their replacement or baseline states, and where CO2 is supplied independently of organic metabolism and atmospheric exchange, we caution a sole reliance on NEP or NPP. This will ensure a more accurate seaweed mitigation assessment, one that does exceed their capacity and is effective within a compliance and carbon trading scheme.
Introduction
Anthropogenic greenhouse gas emissions (GHG) are largely responsible for global warming (Cook et al., 2013). Concerns about warming have led to a call to reduce reliance on the burning of fossils fuels, but also to mitigate emissions using natural solutions. That is to say, solutions that focus on restoring and protecting existing natural carbon sinks that would otherwise be lost through climate change and other anthropogenic pressures (UNFCCC, 2015). The most visible of these vulnerable natural sinks are terrestrial forests. Nevertheless, there has been an increasing focus on the advantages and ability of blue carbon ecosystems to sequester GHGs, that is, saltmarsh, mangroves, and seagrass wetlands (Nellemann et al., 2009; McLeod et al., 2011; Lovelock and Duarte, 2019). These systems are not only highly productive, and unlike terrestrial forests, they do not readily combust and will continue to sequester carbon down a relatively rapidly accreting sediment column (McLeod et al., 2011) that can respond, and in part determined, by sea-level rise (Lovelock and Reef, 2020). Furthermore, their ability to trap organic imports has resulted in a relatively high carbon sink density, estimated to contribute to half of the total carbon stored in the world's oceans, despite covering only < 2% of its area (Duarte, et al., 2005).
Along with coastal wetlands, seaweeds are also increasingly being lost across the majority of global ecoregions (Krumhansl et al., 2016). Similar to wetlands, losses are a combination of causes related to climate change, pollution, and harvesting, but also the result of overgrazing from the loss of top predators (Krumhansl et al., 2016). However, unlike coastal wetlands, they do not support an ability to sequester carbon within their canopy footprint; they tend to occur in more exposed rocky areas where there is little local sediment accumulation. Nevertheless, a significant fraction of their net primary production (NPP; ∼43% NPP) is exported and subsequently sequestered directly to the deep ocean (∼11% NPP) as dislodged seaweed tissue and dissolved organic carbon (Smith, 1981; Gallagher, 2014; Krause-Jensen and Duarte, 2016; Krause-Jensen et al., 2018; Filbee-Dexter and Wernberg, 2020; Bayley et al., 2021). The remainder of that export is consumed within surface waters, and/or degraded within nearby coastal sediments (Hill et al., 2015; de Bettignies et al., 2020). Indeed, this fraction of exported NPP to the deep ocean is increasingly being touted as both a means to determine seaweed ecosystems sequestration rates, a value that appears to describe mitigation of anthropogenic CO2 emissions through restoration and the preservation of vulnerable systems (Krause-Jensen et al., 2018).
We contend, however, that the seaweed NPP paradigm, which quantifies sequestration as the fraction of seaweed NPP exported to the deep ocean, is an incomplete metric of sequestration and by extension mitigation of atmospheric GHGs. The seaweed NPP paradigm implicitly ignores the consumption of imported organic subsidies. Indeed, organic subsidies contribute to many wetland systems and some degraded blue carbon ecosystems being rendered net sources of carbon emissions (Duarte and Prairie, 2005). Such imports inevitably result in additional CO2 emissions from the stimulation of organic and calcareous metabolism by the seaweed community (Gattuso et al., 1997; Bach et al., 2021). Whilst mitigation is a measure of the impact on GHG emissions, should the ecosystem not just be lost but replaced by a sink or source as determined by degraded or an alternative ecosystem state. In other words, mitigation services should not be assessed relative to net carbon neutrality but instead, relative to the carbon balance of what would otherwise fill that biological space (Siikamäki et al., 2013; Gallagher, 2017; Prairie et al., 2018; Smith et al., 2000). For example, a degraded kelp forest may progress to an alternative state of an urchin barren or turf-dominated assemblage (Strain et al., 2014; Edwards et al., 2020), and Fucus vesiculosus assemblages may be replaced by a mussel dominated reef system (Petraitis et al., 2009). Any interventions from a carbon sequestration standpoint will then be dependent on their relative sequestration or emission strengths. This, then, should be the framework for a price on vulnerable natural carbon sinks; a service nevertheless constrained any losses of other ecosystem services such as biodiversity (Villa and Bernal, 2018).
Here, we aim to first explore and explain the role of organic subsidies in influencing seaweed ecosystem sequestration relative to the current NPP sequestration paradigm. We attempt this by disentangling the components of the ecosystem and its exported net carbon balance: first, for a hypothetical macroalgal system closed to inputs of organic subsidies (Case i), and second, relative to a more usual macro–microalgal ecosystem open to subsidies (Case ii). We then assess the importance of subsidies to both the ecosystem's local and net global carbon balance by compiling published net ecosystem production (NEP) estimates before applying export consumption and deposition parameters. These parameters are based on the global NPP paradigm model, a compilation average of 30 NPP examples across the globe, also previously applied at both continental and (Filbee-Dextor and Wernberg, 2020) oceanic regional scales (Bayley et al., 2021). Finally, and where available, the expected differences between anthropogenically driven replacements’ local and net global carbon balances are cited to assess where seaweed ecosystem mitigation services lie, whilst considering how measurements are constrained by the production of CO2 during faunal and floral calcification, and the occurrence of any local upwelling and downwelling processes.
Material and methods
To explore the role of subsidies on seaweed ecosystems, we first partitioned the components of their carbon balance for the ecosystem and its exported material for one system closed and one open to those imported subsidies [Equations (1) and (3)]. To gauge the importance of subsidies, published estimates of NEP rates were collected from the Web of Science database (accessed March 2021) using the following search terms: macroalga* OR benth*, “primary producti*”, AND ecosystem or community. This search initially identified 2313 papers, which were subsequently divided and screened by the authors for inclusion based on title and abstract. Only papers that reported, or allowed for, estimates of daily (24 h) NEP of seaweed-dominated communities were used. Results from papers reporting fluxes as oxygen was converted to carbon using a molar photosynthetic and respiratory quotients = 1. It should be noted, that these conversions likely represent a conservatively high estimate as no consideration is given to the potential production of CO2 from calcification (Gattuso et al., 1997; Bach et al., 2021). When necessary, the data required to recalculate annual NEP from their components were digitally extracted from figures using Graph Grabber™ v2.0.1. We included studies that measured day- and night-time production/respiration for >1 h, from which we calculated daily estimates using a stated 12:12 day–night ratio (Miller et al., 2009). For one article that reported for 12 h of daylight only (Miller et al., 2011), we corrected for community respiration rates extrapolated over the night, and at one site, the average NEP between various canopy types was weighted using relative biomass (Supplementary material S1, Part 1). Studies that estimated production rates for whole communities based on the summed production rates of individual species were only included if they accounted for both shading by canopy species and respiration of the faunal community (e.g. Miller et al., 2011). Finally, the references contained within the included studies were checked for additional appropriate studies. Data from two papers that measured the NEP of F. vesiculosus communities from the same sites but different methods of annual integration were pooled and averaged to minimize any overwhelming influence of this system on the overall mean value across the small pool of included studies (n = 18). Whilst the pool was relatively small, it resembled a similar sample scale across a range of climatic regions as used in the NPP paradigm (n = 30; Krause-Jensen and Duarte, 2016).
Net ecosystem productivity (NEPo) of seaweed assemblages from the published literature: AEC = aquatic eddy covariance, where PI = photosynthesis light response and seasonal as the average of different deployments refers to different methods used to calculate annual values for the Baltic F. vesiculosus ecosystem. Others refer to concentrations of respiratory gases corrected for atmospheric and/or advective exchange. Note that the thermal condition of the waters does not always coincide with the latitudinal definition of tropics to polar regions, but reflects the origin of the water supplied from large-scale geostrophic currents.
| Community description . | Location . | Method . | Average NEPo (mmol C m–2 d–1) . | Sampling including multiple seasons . | Reference . |
|---|---|---|---|---|---|
| Temperate and polar waters | |||||
| Crustose algae/urchins, Fjord | Greenland | AEC | −4.7 | Yes | Attard et al. (2014) |
| F. vesiculosus | Baltic Sea, Finland | AEC (PI curves) | 68.5 | Yes | Attard et al. (2019a,b) |
| F. vesiculosus | AEC (Seasonal) | 66.2 | Yes | ||
| Fucus serratus (intertidal) | Brittany, France | AEC | 91.7 | Yes | Bordeyne et al. (2020) |
| Brown alga (Phaeophyceae) dominated community | Southern Australia | Chamber | 4.6 | Yes | Cheshire et al. (1996) |
| Eualaria fistulosa | Alaska, USA | Chamber | −7.5 | Polar summer | Edwards et al. (2020) |
| Turf algae | California, USA | Chamber | −164.4 | Subtropics winter | Miller et al. (2009) |
| Foliose algae | California, USA | Chamber | −32.64 | Subtropics winter | Miller et al. (2009) |
| Macrocystis pyrifera and understory | California, USA | Chamber and growth rates | −8.57 | Yes | Miller et al. (2011) |
| Macrocystis pyrifera understory species | California, USA | Chamber | −47.9 | Yes | Miller et al. (2011) |
| Laminaria pallida and Ecklonia maxima | South Africa | Community carbon balance | −17.7 | Yes | Newell and Field (1983) |
| Mixed macroalgae (15–20 m) | West Antarctic Peninsula | AEC | −21.8 | Polar summer | Rovelli et al. (2019) |
| Sargassum horneri | California, USA | Chamber | −1.8 | Yes | Sullaway and Edwards (2020) |
| Tropical and subtropical waters | |||||
| Sargassum sp, (0.4–3.4 m) | Tropical reef, Australia | Open water sampling, other | 10 | Yes | Gruber et al. (2017) |
| Corallina elongata and coral reef | Northwest Mediterranean | Open water sampling, other | 20 | Late winter | Bensoussan and Gattuso (2007) |
| Mixed macrophyte coral biome: ocean, fore-reef, reef-flat, and shallow lagoon | Arizona, USA | Open water sampling, other | −3 | Yes | Falter et al. (2001) |
| Mixed macrophyte/coral reef and fringing degraded reef | French Polynesia | Open water sampling, other | 10 | Winter | Gattuso et al. (1997) |
| Mixed macrophyte/coral reef | Central Red sea | Chamber | 30.4 | Unknown season | Roth et al. (2019) |
| Halimeda incrassata | Western Mediterranean | Chamber | 3.5 | Yes | Marx et al. (2021) |
| Community description . | Location . | Method . | Average NEPo (mmol C m–2 d–1) . | Sampling including multiple seasons . | Reference . |
|---|---|---|---|---|---|
| Temperate and polar waters | |||||
| Crustose algae/urchins, Fjord | Greenland | AEC | −4.7 | Yes | Attard et al. (2014) |
| F. vesiculosus | Baltic Sea, Finland | AEC (PI curves) | 68.5 | Yes | Attard et al. (2019a,b) |
| F. vesiculosus | AEC (Seasonal) | 66.2 | Yes | ||
| Fucus serratus (intertidal) | Brittany, France | AEC | 91.7 | Yes | Bordeyne et al. (2020) |
| Brown alga (Phaeophyceae) dominated community | Southern Australia | Chamber | 4.6 | Yes | Cheshire et al. (1996) |
| Eualaria fistulosa | Alaska, USA | Chamber | −7.5 | Polar summer | Edwards et al. (2020) |
| Turf algae | California, USA | Chamber | −164.4 | Subtropics winter | Miller et al. (2009) |
| Foliose algae | California, USA | Chamber | −32.64 | Subtropics winter | Miller et al. (2009) |
| Macrocystis pyrifera and understory | California, USA | Chamber and growth rates | −8.57 | Yes | Miller et al. (2011) |
| Macrocystis pyrifera understory species | California, USA | Chamber | −47.9 | Yes | Miller et al. (2011) |
| Laminaria pallida and Ecklonia maxima | South Africa | Community carbon balance | −17.7 | Yes | Newell and Field (1983) |
| Mixed macroalgae (15–20 m) | West Antarctic Peninsula | AEC | −21.8 | Polar summer | Rovelli et al. (2019) |
| Sargassum horneri | California, USA | Chamber | −1.8 | Yes | Sullaway and Edwards (2020) |
| Tropical and subtropical waters | |||||
| Sargassum sp, (0.4–3.4 m) | Tropical reef, Australia | Open water sampling, other | 10 | Yes | Gruber et al. (2017) |
| Corallina elongata and coral reef | Northwest Mediterranean | Open water sampling, other | 20 | Late winter | Bensoussan and Gattuso (2007) |
| Mixed macrophyte coral biome: ocean, fore-reef, reef-flat, and shallow lagoon | Arizona, USA | Open water sampling, other | −3 | Yes | Falter et al. (2001) |
| Mixed macrophyte/coral reef and fringing degraded reef | French Polynesia | Open water sampling, other | 10 | Winter | Gattuso et al. (1997) |
| Mixed macrophyte/coral reef | Central Red sea | Chamber | 30.4 | Unknown season | Roth et al. (2019) |
| Halimeda incrassata | Western Mediterranean | Chamber | 3.5 | Yes | Marx et al. (2021) |
Net ecosystem productivity (NEPo) of seaweed assemblages from the published literature: AEC = aquatic eddy covariance, where PI = photosynthesis light response and seasonal as the average of different deployments refers to different methods used to calculate annual values for the Baltic F. vesiculosus ecosystem. Others refer to concentrations of respiratory gases corrected for atmospheric and/or advective exchange. Note that the thermal condition of the waters does not always coincide with the latitudinal definition of tropics to polar regions, but reflects the origin of the water supplied from large-scale geostrophic currents.
| Community description . | Location . | Method . | Average NEPo (mmol C m–2 d–1) . | Sampling including multiple seasons . | Reference . |
|---|---|---|---|---|---|
| Temperate and polar waters | |||||
| Crustose algae/urchins, Fjord | Greenland | AEC | −4.7 | Yes | Attard et al. (2014) |
| F. vesiculosus | Baltic Sea, Finland | AEC (PI curves) | 68.5 | Yes | Attard et al. (2019a,b) |
| F. vesiculosus | AEC (Seasonal) | 66.2 | Yes | ||
| Fucus serratus (intertidal) | Brittany, France | AEC | 91.7 | Yes | Bordeyne et al. (2020) |
| Brown alga (Phaeophyceae) dominated community | Southern Australia | Chamber | 4.6 | Yes | Cheshire et al. (1996) |
| Eualaria fistulosa | Alaska, USA | Chamber | −7.5 | Polar summer | Edwards et al. (2020) |
| Turf algae | California, USA | Chamber | −164.4 | Subtropics winter | Miller et al. (2009) |
| Foliose algae | California, USA | Chamber | −32.64 | Subtropics winter | Miller et al. (2009) |
| Macrocystis pyrifera and understory | California, USA | Chamber and growth rates | −8.57 | Yes | Miller et al. (2011) |
| Macrocystis pyrifera understory species | California, USA | Chamber | −47.9 | Yes | Miller et al. (2011) |
| Laminaria pallida and Ecklonia maxima | South Africa | Community carbon balance | −17.7 | Yes | Newell and Field (1983) |
| Mixed macroalgae (15–20 m) | West Antarctic Peninsula | AEC | −21.8 | Polar summer | Rovelli et al. (2019) |
| Sargassum horneri | California, USA | Chamber | −1.8 | Yes | Sullaway and Edwards (2020) |
| Tropical and subtropical waters | |||||
| Sargassum sp, (0.4–3.4 m) | Tropical reef, Australia | Open water sampling, other | 10 | Yes | Gruber et al. (2017) |
| Corallina elongata and coral reef | Northwest Mediterranean | Open water sampling, other | 20 | Late winter | Bensoussan and Gattuso (2007) |
| Mixed macrophyte coral biome: ocean, fore-reef, reef-flat, and shallow lagoon | Arizona, USA | Open water sampling, other | −3 | Yes | Falter et al. (2001) |
| Mixed macrophyte/coral reef and fringing degraded reef | French Polynesia | Open water sampling, other | 10 | Winter | Gattuso et al. (1997) |
| Mixed macrophyte/coral reef | Central Red sea | Chamber | 30.4 | Unknown season | Roth et al. (2019) |
| Halimeda incrassata | Western Mediterranean | Chamber | 3.5 | Yes | Marx et al. (2021) |
| Community description . | Location . | Method . | Average NEPo (mmol C m–2 d–1) . | Sampling including multiple seasons . | Reference . |
|---|---|---|---|---|---|
| Temperate and polar waters | |||||
| Crustose algae/urchins, Fjord | Greenland | AEC | −4.7 | Yes | Attard et al. (2014) |
| F. vesiculosus | Baltic Sea, Finland | AEC (PI curves) | 68.5 | Yes | Attard et al. (2019a,b) |
| F. vesiculosus | AEC (Seasonal) | 66.2 | Yes | ||
| Fucus serratus (intertidal) | Brittany, France | AEC | 91.7 | Yes | Bordeyne et al. (2020) |
| Brown alga (Phaeophyceae) dominated community | Southern Australia | Chamber | 4.6 | Yes | Cheshire et al. (1996) |
| Eualaria fistulosa | Alaska, USA | Chamber | −7.5 | Polar summer | Edwards et al. (2020) |
| Turf algae | California, USA | Chamber | −164.4 | Subtropics winter | Miller et al. (2009) |
| Foliose algae | California, USA | Chamber | −32.64 | Subtropics winter | Miller et al. (2009) |
| Macrocystis pyrifera and understory | California, USA | Chamber and growth rates | −8.57 | Yes | Miller et al. (2011) |
| Macrocystis pyrifera understory species | California, USA | Chamber | −47.9 | Yes | Miller et al. (2011) |
| Laminaria pallida and Ecklonia maxima | South Africa | Community carbon balance | −17.7 | Yes | Newell and Field (1983) |
| Mixed macroalgae (15–20 m) | West Antarctic Peninsula | AEC | −21.8 | Polar summer | Rovelli et al. (2019) |
| Sargassum horneri | California, USA | Chamber | −1.8 | Yes | Sullaway and Edwards (2020) |
| Tropical and subtropical waters | |||||
| Sargassum sp, (0.4–3.4 m) | Tropical reef, Australia | Open water sampling, other | 10 | Yes | Gruber et al. (2017) |
| Corallina elongata and coral reef | Northwest Mediterranean | Open water sampling, other | 20 | Late winter | Bensoussan and Gattuso (2007) |
| Mixed macrophyte coral biome: ocean, fore-reef, reef-flat, and shallow lagoon | Arizona, USA | Open water sampling, other | −3 | Yes | Falter et al. (2001) |
| Mixed macrophyte/coral reef and fringing degraded reef | French Polynesia | Open water sampling, other | 10 | Winter | Gattuso et al. (1997) |
| Mixed macrophyte/coral reef | Central Red sea | Chamber | 30.4 | Unknown season | Roth et al. (2019) |
| Halimeda incrassata | Western Mediterranean | Chamber | 3.5 | Yes | Marx et al. (2021) |
It should also be noted that the methods used to determine the seaweed ecosystems’ NEP differed across the data set varied. They included: (i) photorespirometry confined within multiple transparent benthic chambers (∼1 m2) deployed over the canopy bottom with attempts to recreate the turbulence experienced outside the chambers; (ii) eddy covariance, a means to measure the in situ vertical flux of oxygen over a large footprint (∼10–100 m2) immediately above canopy; (iii) a modified Eulerian approach that uses either change in oxygen or dissolved inorganic carbon concentrations above the canopy seascape and adjacent water column after accounting for local atmospheric exchange rates; and (iv) a bottom up annual integration of carbon balance measurements from micro–macroalgal assemblage and its ecosystem consumers. Each methodology will have its own set of biases, as discussed for benthic chambers and eddy covariance (Berg et al., 2022). However, the differences generated by scale and turbulence are unlikely to be not so great, including comparisons with Eulerian methods, to confound the variability between sites and species (Tokoro et al., 2014).
Partitioning the carbon balance
The components of the ecosystems’ local net carbon balance (i.e. NEP) are assumed to represent a steady state over an annual cycle. In this way, seasonality is normalized, although the small number of studies conducted in the growing season likely represent overestimates of annual NEP, whilst studies not conducted during the growing season could underestimate annual NPP. This is the same level of analysis implicitly used in the global seaweed NPP paradigm as a compilation of examples using different methods, at different times, and across different regions (Krause-Jensen and Duarte, 2016). Furthermore, it was similarly assumed that any consumption by herbivores, detritivores, or microflora is directed to remineralization and not an increase in their net biomass or excretion rates. For illustrative purposes, seaweed export is represented as its litter being composed of both the more visible particulate and the less certain fate of its dissolved organic components (Gallagher, 2015; Krause-Jensen and Duarte, 2016). The role of dissolved inorganic carbon is acknowledged, but not included because of the uncertainty of its production rate and the fate of its export (Santos et al., 2021).
Case i: the NPP paradigm, a seaweed assemblage closed to imports

Representation of the components of the net global carbon balance for seaweed ecosystems (a) a hypothetical seaweed assemblage closed to the import of organic carbon subsidies, and (b) a more representative seaweed–phytoplanktonic ecosystem open to the import of subsidies. Where, Cr is community respiration partitioned between the algae and the faunal detritivore and herbivore assemblage, GPP is gross primary productivity of the primary producer assemblage, E is the organic carbon exported from the system, Er is the amount of exported organic carbon consumed then remineralized, Es is the remaining carbon sequestered in the deep ocean, S1 represents the supply of any terrigenous organic subsidies, and S2 the organic subsidies supplied from coastal waters, all consumed by the faunal assemblage. Symbols were imported from The Integration and Application Network (IAN; https://ian.umces.edu/media-library/) into Adobe Illustrator™ CS6 as standardized representatives of processes and biological components.
Case ii: a seaweed ecosystem open to imports
It can be appreciated from Equation (3) that the additional respiration from the consumption of subsidies (Sr) is likely to be substantial when annual NEPo is either in balance or indeed, heterotrophic (i.e. –NEPo). Moreover, the greater the influence of Sr on the ecosystems’ carbon balance, the greater the over-estimation of an NES based solely on the fraction of the seaweeds NPP (– θNPP) exported to the deep ocean (Case i).
Results
Studies with year-round sampling often showed strong seasonal effects with lower NEP values in the cooler/shorter day length seasons and higher NEP values in the warmer/longer day length seasons (i.e. increased growth; Cheshire et al., 1996; Falter, et al., 2001; Miller et al., 2011; Attard et al., 2014; Attard et al., 2019a, b; Sullaway and Edwards, 2020; Marx et al., 2021). Over annual cycles, however, NEP rates between the warmer and tropical–subtropical ecosystems, also characterized by higher light intensities, appeared to support similar sample means but a smaller sample variance (Figure 2; t-test unequal variance p(same mean) = 0.23); F-test p(same variance) = 0.002). Overall, the examples, which largely included average annual estimates, varied substantially around a heterotrophic mean (Figure 2) of −4.0 mmol C m–2 d–1 (SE ± 12.2). The standout exceptions were the Fucus spp wracks (Fucusserratus and F. vesiculosus) supporting highly autotrophic annual NEP rates, and the extreme heterotrophy of a turf dominated assemblage (Miller et al., 2009; Table 1).

Box and whisker plot for seaweed ecosystem net ecosystem production NEPo extracted from the literature for polar to tropical communities (
temperate to polar systems;
subtropical to tropical systems). The box plot and statistics were produced in PAST™. The central static is the median within the box limits set at 25 and 75% quartiles of 18 data points (interpolation method), with one data point representing the average of two values for F. vesiculosus of the Baltic Sea (Table 1). The notches visualizes the 95% confidence interval for the median and the whiskers are drawn from the top of the box up to the largest data point less than 1.5 times the box height from the box limits (the “upper inner fence”), and similarly below the box (the lower inner fence). Values further than three times the box height from the box outside the “inner fences” and outer fences” are outliers, shown as circles (
) and stars (
), respectively.
Seaweed ecosystems’ global carbon balance
To clarify, such a calculation is only intended to illustrate pertinent concepts and relies on whether the NPP sample mean (n = 30) lies close or within the same part of the population distribution as our NEPo trimmed compilation (n = 18). Like the NPP paradigm, it does not necessarily provide an accurate estimate of global seaweed sequestration. There are also regional bathymetric, climatic time-scales, and species effects to be addressed as the science progresses. Nevertheless, like the NPP paradigm, the extent of the net global balance identifies an important global carbon vector. In this case, the large differences between the two conceptual models provide a more considered insight on the likely extent of additional consumption of exported material on the seaweeds’ global net carbon balance, be it large or small relative to the global sample average NEPo.
Discussion
Seaweed carbon balances
It appears that on the whole, seaweed ecosystems are substantially impacted by the consumption of organic subsidies to the extent that on average they appear to be heterotrophic (−4.0 mmol C m–2 d–1) at local scales. Furthermore, their average global carbon balance becomes increasingly a carbon source to the water column by accounting for remineralization of their exported production (cal −35.4 mmol C m–2 d–1, Equation (6)), and not a global sink (cal. +10.80 mmol C m–2 d–1, Krause-Jensen and Duarte, 2016). Indeed, our estimate suggests that the average seaweed NEPo would need to exceed 31.41 mmol C m–2 d–1 (i.e. the sum of 0.32 and 98.17, Equation (6)) just to maintain a global carbon balance. For many seaweeds supporting a NEPo sufficient to overcome the amount of export remineralized appear not to be likely (Table 1). However, this does not exclude other seaweeds such as the temperate subtidal and intertidal Fucus spp Wracks (F.vesiculosus and F. serratus, respectively) and tropical–subtropical examples that appear to support more autotrophic regimes even during the winter period (Figure 2 and Table 1). Whether this is because of a relatively large NPP or smaller import and consumption of subsidies relative to other sites and genera around the globe is not clear.
The current research on seaweeds remains mostly restricted to natural coastal benthic systems. Nevertheless, the NPP paradigm has also been applied to natural floating Sargassum spp (Bach et al., 2021), collectively termed golden carbon (Gouvêa et al., 2020), and floating rope seaweed aquaculture (Chung et al., 2011; Duarte et al., 2017). However, as far as we are aware, testing the NPP paradigm across seaweed aquaculture and relative to sites without seaweed has been restricted to a single study from the Yellow Sea, China (Jiang et al., 2013). The study calculated the atmospheric CO2 flux from annual changes in their water columns’ pCO2 (34.85 ± 17.46 mmol C m–2 d–1). While the value was significantly greater than sites adjacent to the seaweed arrays (24.17 ± 14.14 mmol C m–2 d–1), the difference was reduced towards carbon neutrality when compared to the reported baseline values for the area (32.71 ± 17.23 mmol C m–2 d–1). Nevertheless, their overall mitigation services are likely to be significant given that export as in harvesting, is conceivably greater than for natural systems (Chung et al., 2011). Information on natural floating Sargassum spp ecosystems; however, is confined to community respiration (Cr) of herbivores (Hr), detritivores (Dr), and the algal assemblage (Pr) and their GPP components [Equation (1)] determined from two separate studies of Sargassum natans from the oceanic and neritic waters south of Bermuda and the NW Atlantic shelf, respectively (Smith et al., 1973; Lapointe, 1995). Together, the Cr for neritic and oceanic regions appeared to be more than 3–5 times larger than their GPP respectively (Supplementary material S1, Part 3), suggesting that subsidies also play a major role in constraining the NEPo of those ecosystems.
Mitigation services
Critically, estimates of a seaweed systems' global carbon balance [Equation (6)] in isolation, while valuable, require comparisons of global balances of their actual or potential alternative replacement states (Smith et al., 2000; Siikamäki et al., 2013; Gallagher, 2017). However, NEPo measurements for kelp replacements such as barrens and turfs-dominated systems are limited, and the results mixed. Turf ecosystems can support a NEPo carbon balance of around −164.4 mmol C m–2 d–1 (Table 1; Miller et al., 2009). This is significantly more heterotrophic than the previous mixed Macrocystispyrifera assemblage (−8.57 mmol C m–2 d–1) from the same region (Table 1; Miller et al., 2011). In contrast, urchin barrens across many sites within a polar region appear to be moderately heterotrophic. On average, their NEPo range from −4.76 mmol C m–2 d–1 (SE ± 1.35; Attard et al., 2014) to −3.75 mmol C m–2 d–1 (SE ± 10.56; Edwards et al., 2020). These are only marginally less heterotrophic than the kelp forest counterparts (−7.5 mmol C m–2 d–1 SE ± 7.7) from similar environments (Edwards et al., 2020). The reasons behind this variability between more or less heterotrophic than its parent canopy system are not clear. It may just be a function of the variability in the system's natural balance between producers and consumers of its autotrophic and allochthonous subsidies. More recently, the role of kelp detritus supplied to sandy non-vegetated sediments has suggested another role of allochthonous subsidies to NEP. The kelp detritus supplied to sandy systems retain a sustained ability to photosynthesize over the time it degrades within the sediments (Frontier et al., 2021). For the highly autotrophic Fucus spp wrack ecosystems (Table 1), their potential to sequester carbon may be amplified when considering the NEPo carbon balance of the mussel reef replacement in the same area as the F. vesiculosus ecosystem (−39.5 mmol C m–2 d–1; Attard et al., 2019a). Furthermore, further differences in their global net carbon balances (i.e. NES, Equation (5)) are unlikely to be great. The NPP within and between coastal seaweed and phytoplanktonic ecosystems appear to converge (Borum and Sand-Jensen, 1996) along with the amount of the export remineralized (Supplementary material S1, Part 2).
Other limitations: inorganic carbon supply and outwelling
We have primarily focused on the organic carbon balance over a more recent consideration of dissolved inorganic carbon exported as a long-term dissolved sequestration pool, described as outwelling (Santos et al., 2021). There is, however, an aspect of this outwelling that has not yet been addressed. This is the impact of an acidifying ocean and turbulence between a vegetated and non-vegetated system on the dissolution of their edaphic calcareous sands and fauna. Turbulence together with ocean acidification can significantly increase the dissolution of calcium carbonate and conceivably increase the amount of bicarbonate outwelling (Eyre et al., 2014). In contrast, photosynthesis within a seaweed canopy can significantly reduce acidification and turbulence (Morris et al., 2019; Murie and Bourdeau, 2020). In other words, the canopy is reducing the outwelling sequestration pool relative to a non-vegetated alternative or baseline system. We now have a possible situation where the non-vegetated system is the preferred carbon sequestration sink. However, maintaining or transiting to such a system may not be justified if it is also accompanied by smaller biodiversity (Villa and Bernal, 2018) or arguably, the loss of other natural capital services.
The NEPo carbon balance is a measure of CO2 flux to or from the atmosphere for enclosed and semi-enclosed systems (Prairie et al., 2018). In open coastal waters, however, CO2 can be supplied independently of atmospheric exchange and organic metabolism. Most notably, from geostrophic currents and upwelling (Ikawa and Oechel, 2015; Thorhaug et al., 2020), as well as faunal (Gattuso et al., 1997) and algal calcification, notably the extensive production from seaweed Halimeda spp. (Borowitzka and Larkum, 1976). These additional sources can conceivably not only not affect atmospheric exchange independent of the NEPo, but also invalidate NEP and NPP concepts as processes driven by CO2 sequestered from the atmosphere. Under such conditions, assessments will likely require additional resources to measure atmospheric exchange between the seaweed ecosystem and its replacement, from the same area. A combined understanding of NEPo and the fate of local export appear to be the prerequisites necessary for a predictive capacity to fully assess a seaweed ecosystems’ capacity to mitigate GHG emissions.
Future research and conclusions
Seaweed ecosystems may not be the significant sequesters of global carbon that they were previously thought. There are several data gaps and conceptual shortcomings that still need to be addressed, including (1) additional measurements of seaweed NEPo over annual cycles; (2) and comparison of these measurements relative to the local alternative or degraded state; (3) further understanding of organic subsidy supply and consumption; (4) estimates of atmospheric flux of CO2 to disentangle any physical from the biological divers of atmospheric exchange; and (5) measurements of exported production and sequestration at local scales. Until then, robust assertions of carbon sequestration and mitigation by seaweeds appear premature and should be interpreted with prudence. It must also be noted that such overestimates when presented as important at global scales are not always benign. This is particularly the case when considering a carbon credit offset and trade scheme (Repetto, 2013; Johannessen and Macdonald, 2016). Carbon credits may become more expensive for polluters to compensate their emission above their cap and increase GHG emissions above the sequestration capacity of the ecosystem. Finally, and most importantly, irrespective of the role that seaweed-dominated ecosystems play in carbon mitigation of GHGs, they should remain highly valued for the vast array of critical ecosystem services they provide, including their incontrovertible support of coastal productivity and biodiversity.
Funding
No funding was provided for this study.
Supplementary material
The following supplementary material (Supplementary material S1, Parts 1, 2, and 3) is available at ICESJMS online version of the manuscript. Part 1 sets out the details of the NEP recalculated from the ecosystem's carbon balance components reported by Miller et al. (2011) for their different sites. Part 2 provides more details behind the assumption that the fraction of a seaweed ecosystem's export is largely the macrophyte and not its phytoplankton assemblage. Part 3 sets out the calculation and data used to calculate NEP for the Sargassum spp. occupying parts of the Sargasso Sea.
Data availability statement
No new data compiled in Table 1 were generated or analysed in support of this research. Details of any recalculations of published data components to obtain the appropriate concept are outlined in Supplementary material S1.
Authors' contributions
Gallagher: conceptualization, methodology, formal analysis, investigation, and writing—original draft preparation and visualization. Shelamoff: conceptualization, methodology, investigation, and writing—reviewing and editing. Layton: methodology, investigation, and writing—reviewing and editing.
Conflict of interest
The authors have no conflicts of interest to declare.
Acknowledgements
We are grateful to John Gibson for his comments on the carbon balance construct and to Chuan Chee Hoe for his assistance with the illustrations.