| Literature DB >> 26531815 |
Tomohiro Kuwae1, Jota Kanda2, Atsushi Kubo3, Fumiyuki Nakajima4, Hiroshi Ogawa5, Akio Sohma6, Masahiro Suzumura7.
Abstract
Estuarine and shallow coastal systems (ESCS) are recognized as not only significant organic carbon reservoirs but also emitters of CO2 to the atmosphere through air-sea CO2 gas exchange, thus posing a dilemma on ESCS's role in climate change mitigation measures. However, some studies have shown that coastal waters take up atmospheric CO2 (Catm), although the magnitude and determinants remain unclear. We argue that the phenomenon of net uptake of Catm by ESCS is not unusual under a given set of terrestrial inputs and geophysical conditions. We assessed the key properties of systems that show the net Catm uptake and found that they are often characteristic of human-dominated systems: (1) input of high terrestrial nutrients, (2) input of treated wastewater in which labile carbon is highly removed, and (3) presence of hypoxia. We propose that human-dominated ESCS are worthy of investigation as a contributor to climate change mitigation.Entities:
Keywords: CO2 fluxes; Carbon cycles; Carbon sequestration; Climate change; Urban ecology
Mesh:
Substances:
Year: 2015 PMID: 26531815 PMCID: PMC4815754 DOI: 10.1007/s13280-015-0725-x
Source DB: PubMed Journal: Ambio ISSN: 0044-7447 Impact factor: 5.129
Fig. 1Conceptualized carbon flows that contribute to a long-term net uptake of Catm in ESCS. The conceptual diagram is based on the assumption that a long-term net uptake (at least over years) of Catm occurs only when there is a net unidirectional carbon flux (pump) that leads to a partial pressure of CO2 (pCO2) in water lower than the atmospheric pCO2. Lowering of pCO2 is enhanced by (1) primary production by phytoplankton and phytobenthos (submerged aquatic vegetation), (2) suppression of mineralization and release of CO2 by production of refractory dissolved organic matter (RDOC), (3) sedimentation and burial of particulate organic matter (POC), and (4) efflux of POC into the deep sea. Wastewater treatment plants can indirectly contribute to lowering of pCO2 in water by removal of POC (sludge) in terrestrial inputs; however, the plants can also be emitters of CO2 to the atmosphere due to water treatment (oxygenation of wastewater and mineralization of organic matter in open treatment basins)
Key processes and mechanisms relevant to air–sea CO2 fluxes and carbon burial in human-dominated ESCS
| Property | Driver | Consequence | Relevance to atmospheric CO2 uptake and carbon burial |
|---|---|---|---|
| Large amount of nutrient input | Nutrient input from land | Enhancement of high primary production | Low pCO2 in water |
| Relatively small amount of labile carbon input | Wastewater treatment (removal and mineralization of organic carbon) | Relatively low-carbon mass input to sea | Low pCO2 in water |
| Large amount of freshwater discharge | Freshwater demand due to population (importation of water, watershed alteration) | Enhancement of stratification | Low pCO2 in surface water |
| Presence of oxygen minimum zone (OMZ) | Stratification | Anoxia/hypoxia in both bottom water and surface sediments | Enhancement of carbon burial |
| Shallow water depth | Geological settings | Short degradation time during POC sinking in water column | Enhancement of carbon burial |
| Turbidity | Plankton blooming | Enhancement of primary production due to increase in phytoplankton biomass, lowering pCO2
| Variability of pCO2 in surface water |
| Residence time | Freshwater input | Influenced by the quantity and quality (pCO2 and POC) of inflowing water | Variability of pCO2 in surface water and carbon burial |
Fig. 2Key processes and mechanisms that explain why human-dominated ESCS show net uptake of Catm at least over years through air–sea CO2 gas exchange. For details, see Table 1
Environmental conditions when the air–sea flux is negative (atmospheric CO2 uptake) in estuarine and shallow coastal ecosystems (ESCS) (salinity range: 1–33). Only the references showing the flux values are listed. Note that most of the summarized data here were measured as snapshots (not 24-h continuous measurements) and did not include an annual cycle and associated with considerable uncertainties and are possibly biased. For comparison, estimated global average CO2 fluxes are positive (emitters): 40.3 mmol C m−2 day−1 for small deltas, 41.4 mmol C m−2 day−1 for tidal systems, and 49.9 mmol C m−2 day−1 for lagoons (Laruelle et al. 2013)
| Location | Site condition | Surface water condition | Flux and measurement condition | Reference | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Land use | Treated waste water input | Stratification | Oxygen minimum zone | Temp. (°C) | Salinity | DIN or NO3 (μM) | DIP (μM) | Chl | Air–sea negative CO2 flux (mmol C m−2 day−1) | Measurement intervals | Measurement season | ||
| Estuarine systems | |||||||||||||
| Noordwijk | Urban/farmland | Yes | Yes | – | 15–17 | 29–32 | – | – | – | <20.0 | 24 h continuous | September | Bakker et al. ( |
| York River estuary | Urban/forest | Yes | Yes | – | – | 14–24 | – | – | – | 2.1–5.6 | Daytime snapshot | November–April | Raymond et al. ( |
| Randers Fjord | Farmland | Yes | Yes | No | 9–10 | 5–12 | 55–90 | 0.2–0.3 | 2–6 | 10.0 | 24 h | April | Gazeau et al. ( |
| Tendo Lagoon | Farmland | No | Yes | Yes | 31 | 1–7 | 1 | 0.3 | 24 | 17.7 | Snapshot | March | Kone et al. ( |
| Tendo Lagoon | Farmland | No | Yes | Yes | – | 0–3 | 1 | 0.3 | 27 | 4.9 | Snapshot | September | Kone et al. ( |
| Tendo Lagoon | Farmland | No | Yes | Yes | – | 0–2 | 2 | 0.6 | 8 | 3.0 | Snapshot | December | Kone et al. ( |
| Aby Lagoon | Farmland | No | Yes | Yes | 30 | 5–12 | 0 | 0.3 | 28 | 20.0 | Snapshot | March | Kone et al. ( |
| Aby Lagoon | Farmland | No | Yes | Yes | – | 1–10 | 1 | 0.2 | 36 | 11.3 | Snapshot | September | Kone et al. ( |
| Aby Lagoon | Farmland | No | Yes | Yes | – | 2–7 | 2 | 0.2 | 17 | 4.1 | Snapshot | December | Kone et al. ( |
| Aby Lagoon | Farmland | No | Yes | Yes | – | – | – | – | – | 7.4 | Snapshot | Annual average | Kone et al. ( |
| Bellamy River estuary | Urban/farmland | No | – | – | 9–12 | 10–20 | 9 | 0.3 | 3–7 | 12.0 | – | April | Hunt et al. ( |
| Oyster River estuary | Urban/farmland | Yes | – | – | 10–11 | 4–18 | 18 | 0.4 | 4–5 | 17.2 | – | April | Hunt et al. ( |
| Neuse River estuary | Urban/farmland | Yes | Yes | – | 16–31 | 2–15 | – | – | 5–20 | 0.8 | Daytime continuous | June–August | Crosswell et al. ( |
| Neuse River estuary | Urban/farmland | Yes | Yes | – | 8–9 | 4–7 | – | – | 12–20 | 22.0 | Daytime continuous | December–February | Crosswell et al. ( |
| Neuse River estuary | Urban/farmland | Yes | Yes | – | 8 | 2–4 | – | – | 12–27 | 2.4 | Daytime continuous | March–May | Crosswell et al. ( |
| Neuse River estuary | Urban/farmland | Yes | Yes | – | 8–29 | 4–19 | – | – | 7–20 | 0.5 | Daytime continuous | Annual average | Crosswell et al. ( |
| Godthabsfjord | Icecap | – | – | – | –1–7 | 24–34 | – | 0–1 | – | 20.0 | Snapshot | Annual average | Rysgaard et al. ( |
| Columbia River estuary | Urban/farmland | Yes | Yes | Yes | 10 | 3–14 | 40 | 1 | 6 | 6.5–9.5 | Daytime continuous | April | Evans et al. ( |
| Osaka Bay | Urban | Yes | Yes | Yes | 7–28 | 16–32 | 7–21 | – | 10–50 | 8.3 | Snapshot | Annual average | Fujii et al. ( |
| Tokyo Bay | Urban | Yes | Yes | Yes | 8–32 | 2–35 | 0–374 | 0–32 | 0–300 | 8.8 | Daytime snapshot | Annual average | Kubo ( |
| Simple mean and SD | 9.6 ± 6.7 | ||||||||||||
| Seagrass meadows, %cover | |||||||||||||
| Hasting River 10 % | Farmland | Yes | – | – | – | >10 | – | – | – | 1.0 | Day/night | Annual average | Maher and Eyre ( |
| Camden Haven 37 % | Forest | Yes | – | – | – | >0 | – | – | – | 5.0 | Day/night | Annual average | Maher and Eyre ( |
| Wallis Lake 37 % | Forest | Yes | – | – | – | >0 | – | – | – | 5.0 | Day/night | Annual average | Maher and Eyre ( |
| Albufera des Grau | Urban/farmland | Yes | Yes (slight) | Yes | – | 5–15 | – | – | 0–200 | 8.1 | Daytime snapshot | Annual average | Obrador and Pretus ( |
| Shiraho | Farmland | No | No | No | 29–33 | 32–34 | – | – | – | 1.9 | 24 h | September | Watanabe et al. ( |
| Furen Lagoon 80 % | Farmland | Yes | Yes | No | 20–27 | 7–22 | 1–121 | 0.3–2.6 | 1–7 | 6.0–10.4 | 24 h continuous | August | Tokoro et al. ( |
| Furen Lagoon 80 % | Farmland | Yes | Yes | No | 16–30 | 4–22 | 1–121 | 0.3–2.6 | <18 | 126.0 | 24 h continuous | July–August | Tokoro et al. ( |
| Furen Lagoon 80 % | Farmland | Yes | Yes | No | 11–27 | 6–31 | 1–121 | 0.3–2.6 | – | 1.5 | Daytime snapshot | Annual average | Tokoro et al. ( |
| Kurihama Bay | Urban | Yes | No | No | 12–14 | 29–33 | 8–29 | 0.4–1 | 1–4 | 2.5 | Daytime snapshot | March and April | Tokoro et al. ( |
| Fukido Estuary | Forest | No | No | No | 29–33 | 29–34 | 1–2 | <0.1 | <2 | 86.4 | 24 h continuous | August | Tokoro et al. ( |
| Simple mean and SD | 24.6 ± 44.1 | ||||||||||||