Literature DB >> 30487594

Stable isotopic evidence of nitrogen sources and C4 metabolism driving the world's largest macroalgal green tides in the Yellow Sea.

Ivan Valiela1, Dongyan Liu2, Javier Lloret1, Kelsey Chenoweth3, Daniella Hanacek1.   

Abstract

During recent years, rapid seasonal growth of macroalgae covered extensive areas within the Yellow Sea, developing the world's most spatially extensive "green tide". The remarkably fast accumulation of macroalgal biomass is the joint result of high nitrogen supplies in Yellow Sea waters, plus ability of the macroalgae to optionally use C4 photosynthetic pathways that facilitate rapid growth. Stable isotopic evidence shows that the high nitrogen supply is derived from anthropogenic sources, conveyed from watersheds via river discharges, and by direct atmospheric deposition. Wastewater and manures supply about half the nitrogen used by the macroalgae, fertiliser and atmospheric deposition each furnish about a quarter of the nitrogen in macroalgae. The massive green tides affecting the Yellow Sea are likely to increase, with significant current and future environmental and human consequences. Addressing these changing trajectories will demand concerted investment in new basic and applied research as the basis for developing management policies.

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Year:  2018        PMID: 30487594      PMCID: PMC6261935          DOI: 10.1038/s41598-018-35309-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

In mid-2008, press reports noted that the sailing competition of the XXIX Olympiad in Qingdao, China, were threatened by the presence of a massive canopy of green seaweeds floating on the race course[1,2]. These reports were followed by impressive images of accumulations of algal biomass on shore, which required activation of about 10,000 people, including the military, to clean up and bury. The stranding of masses of algae has become an annual event to be suffered locally, and press coverage has continued[3]. The algae involved have been identified[4,5], and the processes underlying the annual blooms described[6,7]. Propagules of Ulva prolifera, the main species involved, first grow near-shore, attached on maricultural rafts, which are dislodged during harvest and cleaning activities in spring, and the fragments become propagules that are then free to float offshore and grow across a large portion of the Yellow Sea (Fig. 1). Even though some of the floating algae drift unto shore to create the massive strandings, the macroalgae proliferate in surface waters of the Yellow Sea and the macroalgal canopy expands rapidly (Fig. 2). U. prolifera grow remarkably quickly: in less than one month during 2012, floating canopies expanded up to 36,450 km2 across the Yellow Sea (Fig. 2), with a 62-fold increase of biomass[8]. In 2009, 2014, and 2015, the maximum area of the green tide reached 50,000–60,000 km2. For the sake of comparison, these green tides expand to areas that are three times the area of Wales, or almost half the size of England, or enough to cover the entire surface of Lake Michigan. The remarkably fast growth (>23% day−1)[9] implicit in such a rapid expansion of the algal canopy calls for some explanation.
Figure 1

Shipboard view of the Yellow Sea green tide canopy of floating macroalgae. Photo by Dongyan Liu.

Figure 2

Top panel: location of the green tide sampling area on the Yellow Sea. Bottom four panels show the rapid expansion of the green tide between May 6 and May 31, done by GIS kriging of data[8].

Shipboard view of the Yellow Sea green tide canopy of floating macroalgae. Photo by Dongyan Liu. Top panel: location of the green tide sampling area on the Yellow Sea. Bottom four panels show the rapid expansion of the green tide between May 6 and May 31, done by GIS kriging of data[8]. The expansive canopies of macroalgae that grow across the Yellow Sea have become known as the largest coastal green tides in the world. They have attracted their share of attention because of the cost of dealing with the annual green tides, the nuisance aspects on shore, disruption to mariculture, and because of scientific interest in the unusual phenomenon[10]. There have been many recent publications[6,7], with much of the focus on the causes and controls of green tides. Nitrogen supply is a major control of growth of coastal macroalgae such as Ulva[11,12], so it is not surprising that the onset of growth of the green tides on the coast of the Yellow Sea depends on the large concentrations of available inorganic and organic nitrogen[13,14], plus suitably warm temperatures[8]. Concentrations of ammonium and nitrate in coastal waters surrounding China, and the Yellow Sea region in particular, have increased dramatically during recent decades[15-17]; for example, mean nitrate concentrations increased 7-fold between 1985 and 2010[17]. Concentrations of ammonium and nitrate discharged by rivers into the Yellow Sea are quite high (Table 1). Even in the open Yellow Sea, concentrations of dissolved inorganic nitrogen are 10–80 µM near the coast, and 0.7–5.8 µM offshore[7]. Other reports confirm that concentration of coastal dissolved inorganic nitrogen range 7.4–95 µM[18] and 1–15 µM offshore[10]. Such high concentrations of nitrogen must stimulate the onset and maintain the Ulva bloom. N/P values are high, ranging from 48/1 to 259/1. These values are considerably above the 16:1 Redfield ratio, suggesting that there is sufficient nitrogen such that development of green tides in the Yellow Sea later in the season may be limited by phosphorus supply[10,14,17,19], or not be nutrient-limited at all[20].
Table 1

Range of concentrations of nitrate and ammonium as well as δ15N in NO3, in several Chinese river discharges into receiving seas.

RiversRange of concentrations (µM)δ15N in NO3 (‰)Source
NO3NH4
Changjiang (Yangtze)10–160−4.6 to 8.9 [15]
20–140 [16]
76–1522.3 to 3.8 [77]
90–120 [8]
44.8–109.30.1–39.9 [78]
0.25–25 [23]
27.10.512.8 [66]
Huanghe (Bohai Sea)200–2601.7–4 [79]
0.2–9 [23]
21.6–5307.9–18,786 [80]
Jiulong (East China Sea)14.3–7430.2–10362.5–27 [81]
10–2350–410 [82]
Pearl River (South China Sea)0–3250–850 [83]
Range of concentrations of nitrate and ammonium as well as δ15N in NO3, in several Chinese river discharges into receiving seas. The alarming rise of eutrophication of Chinese coastal waters follows from remarkable increases in nitrogen loads, transported by rivers, and by direct atmospheric deposition. Increasingly, watersheds discharge nitrogen from wastewater disposal, fertiliser and manure use, and atmospheric deposition on land, into rivers[17,21-25]. The increased concentrations and loads borne by rivers then translate into increased discharges to the Yellow Sea. For instance, discharges of nitrogen from the Yangtze River increased by 135% between 1980 and 2010[26]. Direct atmospheric deposition on coastal waters has also increased[19,27,28], and may be involved in a tripling of the nitrate concentration in the Yellow Sea West of Korea[19]. Such recent increases in fluvial and atmospheric contributions have skewed coastal nutrient concentrations in Chinese coastal waters toward larger values than those found in seawater across other coastal regions of the world, particularly in the case of nitrate (Fig. 3).
Figure 3

Frequency distributions of ammonium and nitrate in coastal Chinese waters and in coastal seawater from many stations around the world. Data compiled from three sources[73–75].

Frequency distributions of ammonium and nitrate in coastal Chinese waters and in coastal seawater from many stations around the world. Data compiled from three sources[73-75]. The literature[7,19,25,29-34] reflects broad agreement that, in general, in the Yellow Sea and its watersheds, human activities have increased atmospheric nitrogen deposition, that applications of agricultural fertiliser are excessive (more than half of the added fertiliser nitrogen is not used by crops, and is released into the environment), that rivers transport nitrogen from human and animal wastes, fertiliser use, and atmospheric deposition on watersheds to coastal waters, that direct atmospheric deposition on the Yellow Sea is significant, and that natural biological sources, such as fixation of nitrogen within the coastal environment, are much less than anthropogenic contributions. There is also little doubt that human and animal waste materials, fertilisers, and atmospheric nitrogen deposition, all support the remarkable green tides of the Yellow Sea. In contrast, there are substantial disparities in published estimates of magnitudes of contributions by different sources to nitrogen budgets of Chinese coastal waters. For example, some references conclude that rivers contribute 52% of nitrogen inputs to the Yellow Sea, while direct atmospheric deposition on the sea surface adds 42%[35]. Other references provide yet more differing estimates of atmospheric deposition to the Bohai Sea (Fig. 4) but focus on high deposition of NH4 and lower deposition of NO3[36,37]. Others argue that river discharge of nitrogen is much smaller than atmospheric deposition[23], while still others aver that rivers may carry perhaps 62% of nitrogen loading into the Yellow Sea, with direct atmospheric deposition adding about 36%, and mariculture adding only about 2%[17]. The latter is much smaller than an estimate that mariculture activity may be of the same magnitude as atmospheric deposition[27]. Others conclude that increasing discharges of animal manure to rivers is the major cause of eutrophication[24]. Such disparities among published assessments of relative magnitude of different terms emerge from differences in processes and inputs considered, the forms of nitrogen included, and contrasts in area, estuary, or region studied. Calculated magnitudes of contributions by different sources differ enough to challenge comprehensive synthesis of nitrogen budgets, and confusing interpretations as to the relative importance of the drivers governing the green tide phenomenon.
Figure 4

Map and location of sampling stations within the Yellow Sea where the green tide macroalgae were collected.

Map and location of sampling stations within the Yellow Sea where the green tide macroalgae were collected. We add, in passing, that nitrogen load estimates for the region largely omit consideration of two features that have been found to be important elsewhere. First, contributions via groundwater flow for Chinese coastal sites are significant[38,39], and may reach nutrient discharges equivalent to river fluxes[40]. Second, inputs and dynamics of dissolved organic nitrogen are large for Chinese river discharges[9,41]. Both of these aspects merit more attention, as they are likely to be of a quantitative magnitude that changes perspectives on nutrient loading and transformations. While it is difficult to make mass flow comparisons based on the published data, stable isotope analyses can furnish an empirical check on the relative magnitude of contributions from the various sources of nitrogen. Measuring stable isotopic values of macroalgae has been widely used to partition such contributions[42-46]. In this paper, we first use stable carbon isotopic signatures of the macroalgae to see if they furnish insight into the remarkably fast growth of macroalgae in the Yellow Sea. The carbon isotope signatures were also used to observe the relationship between C3 and C4 metabolic pathways of the macroalgae. Stable isotopic nitrogen signatures of macroalgae collected from a series of Yellow Sea stations during a green tide event (Fig. 4) were examined to ascertain the degree to which different sources (human and animal wastes, fertilisers, and atmospheric deposition) are responsible for a high supply of available nitrogen, and hence for the green tides in the Yellow Sea.

Results and Discussion

δ13C values in Yellow Sea macroalgae

Measurements of δ13C in the samples of macroalgae collected in the stations of Fig. 4 ranged from −24 to −15‰ (x axis in Fig. 5). This is an unusual δ13C range for macroalgae, but similar values have been reported by others (Table 2). In general, producers—plants and algae—found in coastal aquatic environments carry out carbon fixation via C4 or the C3 metabolic pathways[47]. These pathways are characterised by differences in biochemistry and architecture[48], particularly internal air spaces where CO2 and carbonate may be re-used. Presence of C3 or C4 metabolism is associated with relatively constrained values of δ13C (Table 2). Most algae use the C3 pathways for fixing carbon and have corresponding δ13C values; the contrasting range of δ13C found in Ulva in the Yellow Sea and elsewhere (Table 2) is therefore in need of explanation.
Figure 5

δ15N and δ13C of Ulva prolifera and Sargassum horneri from samples collected in stations shown in Fig. 4. For comparison, we added range of δ13C values for algae with C3 and C4 photosynthesis (along the x axis)[76], and ranges of values for δ15N derived from human wastewater and livestock manure fertilisers, and atmospheric deposition (stable isotopic range data from sources in Table 4).

Table 2

δ13C (mean ± se) in C3 and C4 producers, and ranges of δ13C in fronds of selected macroalgal species collected from different locations.

δ13C (‰)LocationSource
C3 producers−28.1 ± 2 [84]
C4 producers−13 ± 1.5
C3 producers−22 to −35 [76]
C4 producers−11 to −17
Green algae:
U. prolifera −21.9 to −14.9Yellow SeaThis study
Ulva sp.−14.2 to −10.1New South Wales coast [85]
Ulva lactuca −13 to −11SE Brazil coast [86]
−22.5 to −22.3Mediterranean Sea [87]
Ulva intestinalis −12.5Neva estuary [88]
Cladophora glomerata −15.5 to −12.5
Cladophora sp.−20 to −18Gulf of Mexico [89]
Codium sp.−15 to −14SE Brazil coast [86]
Caulerpa prolifera −14.1 to −13.8SE Iberian coast [90]
Brown algae:
Sargassum horneri −23.6 to −14.5Yellow SeaThis study
Sargassum natans −20 to −18Gulf of Mexico [89]
Sargassum fluitans −17 to −16
Sargassum sp.−19.5 to −16 [91]
Sargassum sp.−16.3 to −10New South Wales coast [85]
Sargassum vulgare −13 to −12SE Brazil coast [86]
Sargassum sp.−15 to −12.5Baltic Sea [88]
Cystoseira amentacea −19.7 to −15.8Mediterranean Sea [87]
Red algae:
Pterocladium capillacea −16.7 to −13.5New South Wales coast [85]
Gelidiella acerosa −19SE Brazil coast [86]
Pterocladiella capillacea −33 to −32
Cryptonemia seminervis −30
Gracilaria sp.−16.5 to −15
Hypnea musciformis −17.5 to −16
Compilation of 10macroalgal species−21.7 to −11.3Coast of Cape Cod [92]
Compilation of 11macroalgal species−20.9 to −10.5Caribbean Sea [93]
δ15N and δ13C of Ulva prolifera and Sargassum horneri from samples collected in stations shown in Fig. 4. For comparison, we added range of δ13C values for algae with C3 and C4 photosynthesis (along the x axis)[76], and ranges of values for δ15N derived from human wastewater and livestock manure fertilisers, and atmospheric deposition (stable isotopic range data from sources in Table 4).
Table 4

Ranges and midpoints of δ15N values in inorganic sewage and manures, fertilisers, atmospheric deposition, and soils.

Nitrogen sourcesRanges of δ15N (‰)Midpoint of δ15N range (‰)
Human sewage and animal manures7.3 to 2114.2
Inorganic fertilisers−3.9 to 3.1−0.4
Atmospheric deposition−8.1 to −2.9−5.5
Soils0.3 to 7.43.9

Values averaged from compilations in the literature[44,70,80,98–107]. These compilations included some of the same sources of information. To quantify inorganic fertilisers, as available, we mainly used isotopic values for ammonium-based fertilisers, because Chinese farmers use primarily ammonium and urea rather than nitrate fertilisers[29], and urea released into aquatic environments is rapidly hydrolysed to ammonium. The ranges of isotopic signature for human waste and animal manures overlap so closely that we combined both into a single range. It would be of interest to find ways to separate these two sources, since mass balance estimates of the relative magnitude of these sources do not agree[24,25,29]. The soils and sediments transported by rivers are not a clear example of an input, since they carry nitrogen that was delivered by atmospheric deposition, fertilisers, wastewater and manures, and other inputs. This item is included here to show its δ15N range is intermediate, as befits a bearer of a mix of nitrogen from different sources.

δ13C (mean ± se) in C3 and C4 producers, and ranges of δ13C in fronds of selected macroalgal species collected from different locations. It turns out that C3 and C4 photosynthetic pathways co-occur in Ulva, as demonstrated by transcriptome sequencing that revealed presence of C4 and C3 genes, as well as shown by presence and activity of enzymes involved in C4 metabolism[49,50]. These results confirm earlier findings that C4 and C3 characteristics co-occur in certain producers[51], and that C4 metabolism evolved in different plant groups, and at different geological periods[52], rather than exclusively in grasses in the late Miocene. The aspects of C4 metabolism most relevant here is that this pathway minimises photorespiration, increases photosynthetic efficiency, raises nutrient uptake efficiency, and favours high rates of photosynthesis—even where CO2 concentrations are low[53,54]. These features potentially confer high rates of growth and productivity, which can in turn lead to the ability to accumulate biomass at much faster rates than possible with C3 pathways. It has been speculated that the remarkable fast development of green tides in the Yellow Sea may be supported by sustained release of propagules from maricultural rafts[55] and high supply of nutrients[14,17]. We conjecture that perhaps the fast growth associated with ability to carry out C4 metabolism—revealed by the isotopic evidence in Fig. 5— might be an additional and important explanation, particularly adapted for fast growth in waters where there is a high supply of available nitrogen. It seems likely that macroalgae other than Ulva might be able to carry out combinations of C3 and C4 metabolism. The brown macroalga Sargassum showed δ13C values ranging −24 to −14‰ (Fig. 5), and there are many reports of ranges of δ13C that span values between those typical of C3 and C4 metabolism. These results suggest that the co-occurrence of C3 and C4 carbon fixation pathways might be widespread among macroalgae (Table 2). There is a further implication of the confirmation that C4 and C3 metabolism co-occur in certain macroalgae. As atmospheric CO2 rises in coming decades, more CO2 will be stored in the oceans. If nutrient supply increases, macroalgae metabolically pre-adapted to efficiently fix carbon seem therefore likely to proliferate, much as they have done in the Yellow Sea, across other nutrient- and carbon-enriched coastal waters of the world[56,57]. A number of potential biogeochemical and ecological consequences might ensue. There are also concerns about the potential for green tides to foster wholesale shifts in the composition of producers (and of food webs) in the water column[58]. Competition for nutrients with other producers, such as phytoplankton, seems implausible, as concentrations of dissolved inorganic nitrogen remain high in the Yellow Sea through the growing season. It seems more likely that in the Yellow Sea competition with phytoplankton might be mediated by shading by macroalgal canopies. There may be increased delivery of carbon to deeper layers of the sea as green tides senesce and biomass sinks. The shifts in metabolism in the producers, associated with high nitrogen supply, might therefore extend to the alter food webs in the Yellow Sea and other similarly affected ecosystems. Testing of such possibilities will be of interest.

δ15N values in Yellow Sea macroalgae

The values of δ15N in samples of the green macroalga (U. prolifera) taken from the stations in Fig. 4 span a range of 4 to 11‰ (y axis in Fig. 5). The range we measured in Ulva reasonably overlap values in other reports, for green, brown, and red macroalgae (Table 3).
Table 3

Ranges of δ15N in selected macroalgal taxa collected from different sites.

δ15N (‰)SiteSources
Green algae:
U. prolifera 4.1 to 11.3Yellow SeaThis study
3.2 to 10.1 [18]
3.9 to 23.3 [10]
Ulva lactuca 5.7 to 8.2Mediterranean [87]
7.4 to 13.6 [94]
8 to 8.3SE Brazil coast [86]
Ulva intestinalis 8.5Neva estuary [88]
Cladophora glomerulata 6
Cladophora sp.8.5 to 10Gulf of Mexico [89]
Codium sp.9.2 to 9.6SE Brazil coast [86]
Caulerpa prolifera 2.7 to 8.6SE Iberian coast [90]
Brown algae:
Sargassum horneri 2.2 to 8Yellow SeaThis study
Sargassum natans 1.4 to 3.5Gulf of Mexico [89]
Sargassum fluitans 2.3 to 3.1
Sargassum sp.−1.5 to 1.5 [91]
Sargassum vulgare 8 to 8.4SE Brazil coast [86]
Sargassum sp.Baltic Sea [88]
Cystoseira amentacea 7.1 to 8.2Mediterranean [87]
Ascophyllum nodosum 5.1 to 10.1NW Iberian coast [95]
Fucus vesiculosus 1.6 to 13.8
Red algae:
Gracilaria sp.6.6 to 7.3SE Brazil [86]
Gelidiella acerosa 6.6 to 7.6
Pterocladiella capillacea 5.4 to 6.2
Cryptonemia seminervis 6.4 to 7.1
Hypnea musciformis 8.4 to 9.4
Compilation of many macroalgal taxa:
Greens:1.9 to 12.8Coast of Vietnam [96]
Browns:2.3 to 7.1
Reds:1.9 to 10.8
Compilation of many macroalgal taxa:
4 to 18Coasts of the world [97]

Many of the entries in this table are based on means, hence the ranges are underestimates. One of the estimates from ref.[18] had an anomalous range of −6.7 to −1.3‰ and was not included in this entry.

Ranges of δ15N in selected macroalgal taxa collected from different sites. Many of the entries in this table are based on means, hence the ranges are underestimates. One of the estimates from ref.[18] had an anomalous range of −6.7 to −1.3‰ and was not included in this entry. The δ15N values we measured in the Yellow Sea U. prolifera reflect uptake of inputs of nitrogen entering these coastal waters, plus within-estuary biochemical nitrogen cycle transformations. For the Yellow Sea, the nitrogen inputs are, to a degree, better known than the internal biogeochemical transformations. Here we therefore focus on the nitrogen inputs. To interpret the distribution of points in Fig. 5, we compare the position of measurements from the samples in relation to reasonably well-established bounds reported for stable isotopic values on nitrogen in nitrate (Table 4). These bounds are shown in Fig. 5. Ranges and midpoints of δ15N values in inorganic sewage and manures, fertilisers, atmospheric deposition, and soils. Values averaged from compilations in the literature[44,70,80,98-107]. These compilations included some of the same sources of information. To quantify inorganic fertilisers, as available, we mainly used isotopic values for ammonium-based fertilisers, because Chinese farmers use primarily ammonium and urea rather than nitrate fertilisers[29], and urea released into aquatic environments is rapidly hydrolysed to ammonium. The ranges of isotopic signature for human waste and animal manures overlap so closely that we combined both into a single range. It would be of interest to find ways to separate these two sources, since mass balance estimates of the relative magnitude of these sources do not agree[24,25,29]. The soils and sediments transported by rivers are not a clear example of an input, since they carry nitrogen that was delivered by atmospheric deposition, fertilisers, wastewater and manures, and other inputs. This item is included here to show its δ15N range is intermediate, as befits a bearer of a mix of nitrogen from different sources. We highlight major external anthropogenic sources of N, including human wastewater and animal manures (the latter is likely a smaller contribution, since in our unpublished review of fate of manure N in watersheds, we found that only 3.7% of manure N reaches receiving coastal waters), fertilisers, and atmospheric deposition. Other sources of nitrogen, which are likely to make lesser contributions to the Yellow Sea, include river-transport of soils and sediments, nitrogen fixation, inputs from the extensive mariculture industry in the region, and contributions of “natural” nitrogen from upwelled deeper water or wandering Kuroshio Stream sources. The nitrogen brought into the Yellow Sea by sediments and soils holds a mix of what was introduced by use of fertilisers, disposal of wastes, and by atmospheric deposition, all on watersheds. The intermediate values of the δ15N for soils (Table 4) reflect that mix of sources. To avoid possible double-accounting of these sources, we did not consider nitrogen in soil particles brought into the sea by river transport. There is evidence of some nitrogen fixation from the detection of diazotrophic microorganisms in the Yellow Sea water column[59]. In earlier studies, nitrogen fixation only amounted to 6% of the nitrogen inputs to the Yellow Sea. Since then, available ammonium has increased in the water column, which should further depress the contribution by nitrogen fixation[60], and hence, we ignored fixation here. Nitrogen inputs from mariculture activities need to be considered in the context that there is a countering removal of nitrogen inherent in the industrial-level macroalgal culture in the Yellow Sea[17,27,61]. For the Chinese coast as a whole, by 2010, shell- and fin-fish culture may have released 0.2 × 106 tons of nitrogen per year[61]. The nitrogen removed in harvests of macroalgal crops reached 2 × 106 tons in 2014[60]. Clearly, maricultural efforts are a net remover of nitrogen from the Yellow Sea and might be an effective management counter to increased nitrogen loadings[62-64]. In regard to upwelled N sources, we found no measurements of δ15N in deep-layer nitrate within the region, but it has been reported that δ15N of particulate organic matter (POM) from deeper layers ranged from 3.1 to 5.8‰[65], which should be somewhat heavier than those of the nitrate taken up by the POM. δ15N signatures of nitrate upwelled from deeper layers should therefore be lighter than those of nitrate derived from wastewater discharged from watersheds into the sea. Possible nitrate inputs from Kuroshio wanderings have been discussed[66], but river flow seemed to be the dominant source of nitrate in the localities where the green tide bloom started during the growing season (Fig. 2). The overwhelming dominance of fluvial N transport to the Yellow Sea is corroborated by many papers[18,67-71]. Moreover, during warmer seasons in the Yellow Sea, vertical stratification is marked, as evident in sigma t and salinity profiles, constraining upwelling of deeper layers so that upward transport of heavy N may not be a dominant mechanism[66]. In addition, the macroalgae discussed here float in the upper half meter of the water column or so. This is also the layer most affected by river flow, with lowest salinities. It is therefore not at all surprising that isotopic signatures of the floating green tides reflect fluvial inputs rather than inputs from deeper Yellow Sea layers or Kuroshio sources. The distribution of δ15N values measured in samples of macroalgae from the Yellow Sea range from about 2 to 11‰ (Fig. 5). For both U. prolifera and S. horneri, the range of isotopic values reasonably match values of δ15N of nitrate contributed by rivers (Table 1), which seems reasonable because fractionation during uptake by algae is minimal, perhaps adding only 1‰ to the signature of the source. The lower isotopic values appear to be a result of uptake of nitrogen originally from fertiliser use and atmospheric deposition. The upper ranges of isotopic values in the macroalgae were considerably higher than would be expected if nitrogen from fertiliser and atmospheric deposition had been the main sources. In fact, most points in Fig. 5 fall in an intermediate region between those found in human and animal waste, and those characteristic of fertiliser and atmospheric deposition values (Table 4). This implies that a mix of these nitrogen sources was taken up by the macroalgae. To obtain approximate estimates of the relative contributions from the most likely and distinguishable sources, (1) human and animal wastes; (2) fertilisers; or (3) atmospheric deposition, we used IsoSource, a stable isotope mixing model[72]. To simplify the calculation, we entered the mid-point in the range of δ15N for each of the three sources (Table 4) and calculated the % contribution of nitrogen in Ulva and Sargassum for the samples included in Fig. 5. The values for wastewater (and to a rather smaller extent, manures) differ clearly from those in fertiliser and atmospheric deposition. The latter two sources bear similar signatures, which impairs partition. The salient result from the IsoSource partition, however, is that about half the N taken up by both species of macroalgae derived from anthropogenic wastewater in the Yellow Sea as a whole. Fertilisers and atmospheric deposition each may have added a quarter of the N found in the macroalgae (Fig. 6). The proportions of waste N uptake were larger (about 60%) in the more coastal regions of Qingdao and Subei (Fig. 4), perhaps suggesting that near-shore environments are more subject to waste disposal effects.
Figure 6

Percent contribution of the nitrogen measured in U. prolifera and S. horneri that were likely supplied by fertilisers, human wastewater plus livestock manure (WW + M), and by atmospheric nitrogen deposition. Calculations were done by the IsoSource stable isotope mixing model. Numbers are medians, boxes represent the central 50% of the distribution, and whiskers represent maximum and minimum values. Outliers not included.

Percent contribution of the nitrogen measured in U. prolifera and S. horneri that were likely supplied by fertilisers, human wastewater plus livestock manure (WW + M), and by atmospheric nitrogen deposition. Calculations were done by the IsoSource stable isotope mixing model. Numbers are medians, boxes represent the central 50% of the distribution, and whiskers represent maximum and minimum values. Outliers not included. The substantial degree of eutrophication in Chinese rivers and coastal water, made strikingly evident by the massive green tides, suggests two high priorities. First, developing management policies to address the issues will need greater understanding of basic aspects. While we show above that certain sources of nitrogen seem important, examination of the literature shows that actual estimates of mass fluxes from different sources, and of flows though rivers, groundwater, and atmospheric deposition differ from one publication to another. Concerted and critical synthesis of published and new work is needed to constrain the estimates into a comprehensive context. Better quantified knowledge of the sources, and transport routes, will go a long way to suggest how to best target approaches to manage nitrogen loads. Second, while work on developing approaches to manage N loads is taking place, it seems also important to assess the various basic and applied effects of the green tides. One obvious aspect is to understand the economic, social, and infrastructural costs; another might be to develop work aiming at understanding the environmental effects on the Yellow Sea ecosystem. These might include major current and future changes in biodiversity, food webs, economically important shell and fin-fish stocks, and biogeochemistry, exerted by the remarkable re-routing of nutrient fluxes, carbon production and sinking, shading, and most likely other still-unknown changes.

Methods

Field surveys from a small craft were carried out during May-June 2017, sampling macroalgal biomass at a series of stations in Jiangsu and Qingdao coastal waters, and aboard RV Su88 across the western Yellow Sea, covering a region of 32.67–33.67°N and 120.50–122.70°E (Fig. 4). Samples of the macroalgae collected were dominated by a green (Ulva prolifera) and a brown (Sargassum horneri) species. Macroalgal samples were briefly rinsed in filtered seawater and frozen. The frozen macroalgal samples were dried in a Christ ALPHA 1–4 LSC freeze dryer and ground in the East China Normal University laboratory in Shanghai. Samples of ground macroalgae were then shipped to the Stable Isotope Laboratory at the Marine Biological Laboratory in Woods Hole, MA to be analysed for carbon and nitrogen content, as well as carbon, nitrogen, and sulphur stable isotope signatures. The stable isotopic values were determined using a Europa 20–20 Continuous-Flow Isotope Ratio Mass Spectrometer system. All data analysed during this study are included in this article. Any further inquiries can be directed to the authors.
  40 in total

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3.  Reducing environmental risk by improving N management in intensive Chinese agricultural systems.

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4.  The role of benthic macrophytes and their associated macroinvertebrate community in coastal lagoon resistance to eutrophication.

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Journal:  Mar Pollut Bull       Date:  2009-08-22       Impact factor: 5.553

5.  Decadal changes in nutrient fluxes and environmental effects in the Jiulong River Estuary.

Authors:  Gaojie Wu; Wenzhi Cao; Zheng Huang; Chih-Ming Kao; Chang-Tang Chang; Pen-Chi Chiang; Feifei Wang
Journal:  Mar Pollut Bull       Date:  2017-02-04       Impact factor: 5.553

Review 6.  The evolutionary ecology of C4 plants.

Authors:  Pascal-Antoine Christin; Colin P Osborne
Journal:  New Phytol       Date:  2014-09-26       Impact factor: 10.151

7.  Setaria viridis: a model for C4 photosynthesis.

Authors:  Thomas P Brutnell; Lin Wang; Kerry Swartwood; Alexander Goldschmidt; David Jackson; Xin-Guang Zhu; Elizabeth Kellogg; Joyce Van Eck
Journal:  Plant Cell       Date:  2010-08-06       Impact factor: 11.277

8.  Atmospheric nitrogen deposition in the Yangtze River basin: Spatial pattern and source attribution.

Authors:  Wen Xu; Yuanhong Zhao; Xuejun Liu; Anthony J Dore; Lin Zhang; Lei Liu; Miaomiao Cheng
Journal:  Environ Pollut       Date:  2017-10-06       Impact factor: 8.071

9.  Stable delta(15)N and delta(13)C isotope ratios in aquatic ecosystems.

Authors:  Eitaro Wada
Journal:  Proc Jpn Acad Ser B Phys Biol Sci       Date:  2009       Impact factor: 3.493

10.  Nutrient Loads Flowing into Coastal Waters from the Main Rivers of China (2006-2012).

Authors:  Yindong Tong; Yue Zhao; Gengchong Zhen; Jie Chi; Xianhua Liu; Yiren Lu; Xuejun Wang; Ruihua Yao; Junyue Chen; Wei Zhang
Journal:  Sci Rep       Date:  2015-11-19       Impact factor: 4.379

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  3 in total

1.  Photosynthetic responses of Halimeda scabra (Chlorophyta, Bryopsidales) to interactive effects of temperature, pH, and nutrients and its carbon pathways.

Authors:  Daily Zuñiga-Rios; Román Manuel Vásquez-Elizondo; Edgar Caamal; Daniel Robledo
Journal:  PeerJ       Date:  2021-03-05       Impact factor: 2.984

2.  Assessing Herbivorous Impacts of Apohale sp. on the Ulva prolifera Green Tide in China.

Authors:  Xiaoxiang Miao; Jie Xiao; Shiliang Fan; Yu Zang; Xuelei Zhang; Zongling Wang
Journal:  Front Plant Sci       Date:  2021-12-15       Impact factor: 5.753

3.  Role of C4 carbon fixation in Ulva prolifera, the macroalga responsible for the world's largest green tides.

Authors:  Dongyan Liu; Qian Ma; Ivan Valiela; Donald M Anderson; John K Keesing; Kunshan Gao; Yu Zhen; Xiyan Sun; Yujue Wang
Journal:  Commun Biol       Date:  2020-09-07
  3 in total

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