Temporal and spatial variability of photosynthetic parameters and community respiration in Long Island Sound

Goebel, Nicole L.; Kremer, James N.

doi:10.3354/meps329023

Cited by 14 publications

(16 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An attempt was made to correct open-water NEM for this effect using measured rates of marsh respiration (Miller et al 2001); doing so resulted in improved correspondence in Burton's Bay but not in Gargathy Bay. These differing results using the 2 methods highlight an important area for future investigation, as many NEM studies rely on a single method , Caffrey 2003, 2004, Santos et al 2004, Goebel & Kremer 2007. …”

mentioning

confidence: 99%

Ecosystem metabolism in shallow coastal lagoons: patterns and partitioning of planktonic, benthic, and integrated community rates

Giordano¹,

Brush²,

Anderson³

2012

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Net ecosystem metabolism (NEM) provides a quantifiable and integrative method for assessing the ecological responses of aquatic ecosystems to anthropogenic disturbance and has been shown to positively relate to nutrient enrichment in some systems. We measured NEM to determine the trophic status of 4 coastal lagoons receiving a range of nutrient loads on the Virginia/ Maryland portion of the Delmarva Peninsula, USA. From July 2007 to July 2008, we used the component technique to assess NEM by developing photosynthesis−irradiance curves for both the water column and sediments approximately monthly; we added macroalgal incubations in the summer of 2008. We also measured in situ NEM by the open water method using 2 to 3 wk deployments of data sondes. Component incubations indicated net autotrophy in all 4 lagoons for March to October. No significant relationship existed between NEM and total nitrogen load overall, except for reduced autotrophy in the most enriched system. Light availability, sediment organic content, temperature and depth were all important regulators of NEM. Inclusion of macroalgal metabolism during summer 2008 had varied effects on system NEM. Open water and component methods gave divergent results. We attribute these differences to the adjacent marshes and the assumptions inherent in the 2 methods, demonstrating the need for careful attention to the method of choice for estimating system metabolism in these highly variable, shallow photic systems. Overall, NEM was net autotrophic, dominated by phytoplankton production across our study lagoons, and controlled by multiple factors.KEY WORDS: Net ecosystem metabolism · Primary production · Respiration · Coastal lagoon · Phytoplankton · Microphytobenthos · Macroalgae Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 458: 21-38, 2012 22 shellfish species (Beck et al. 2001, Able 2005, EPA 2008). The close proximity of shallow marine systems to land, their small volumes and relatively long residence times, and the penetration of light to the benthos make these systems particularly susceptible to nutrient enrichment (Duarte 1995, Bricker et al. 1999). Microphytobenthos (MPB), however, may help mediate the response of shallow systems to nutrient loading (Tobias et al. 2003, Anderson et al. 2010.Although nitrogen loads to coastal lagoons are of a magnitude similar to those of deeper estuaries, responses in shallow lagoons appear to be quite different, likely because of enhanced benthic− pelagic coupling (Nixon et al. 2001). An illuminated benthos results in a significant contribution of MPB, seagrasses and macroalgae to total system production. Under extremely high nitrogen loads, however, bloom-forming macroalgae and, ultimately, phytoplankton can dominate, shading out MPB, seagrasses and slow-growing macroalgae (Borum & Sand-Jensen, 1996, Valiela et al. 1997.Interactions between autotrophic communities are complex and predictive patterns between nutrient loading and a single component of the sys...

show abstract

mentioning

confidence: 99%

Ecosystem metabolism in shallow coastal lagoons: patterns and partitioning of planktonic, benthic, and integrated community rates

Giordano¹,

Brush²,

Anderson³

2012

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

show abstract

“…Moreover, analyses of the P-E derived behavior provides information on the photophysiological flexibility of phytoplankton in specific environments and can yield insight into controls underlying time and space variability in primary production (e.g. , Cullen 1990, Ondrusek et al 2001, Goebel & Kremer 2007, McAndrew et al 2008, Isada et al 2009. Most in situ studies aimed at characterizing rates of primary production and photosynthetic physiology are based on analyses of bulk phytoplankton metabolism and thus do not resolve the physiological variability that underpins rates of productivity.…”

Section: Introductionmentioning

confidence: 99%

Size-dependent photosynthetic variability in the North Pacific Subtropical Gyre

Li¹,

Karl²,

Letelier³

et al. 2011

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Photosynthesis-irradiance (P-E) relationships and in situ measurements of primary production for 2 phytoplankton size fractions (> 2 µm and 0.2 to 2 µm) were used to evaluate variability in photophysiology over a 5 yr period (2004 to 2009) in the North Pacific Subtropical Gyre (NPSG). Picophytoplankton (0.2 to 2 µm) were dominant contributors to euphotic zone chlorophyll a (chl a) concentrations (averaging 91 ± 2% [mean ± SD] of the 0 to 125 m depth-integrated inventories) and accounted for a major fraction (averaging 74 ± 7%) of the in situ, depth-integrated, 14 Cbased primary production. Short-term in vitro P-E experiments were conducted to examine the photophysiology of both phytoplankton size classes. Results from these experiments demonstrated that in the well-lit ocean (0 to 45 m) chl a normalized maximum rates of photosynthesis, P chl max , were significantly greater among the larger phytoplankton size class than in the smaller size fraction (1-way ANOVA, p < 0.01), while in the dimly lit region (125 m) there were no significant sizedependent differences in P chl max (1-way ANOVA, p > 0.05). Neither the initial slope of the P-E relationships, α, nor the light intensities required to saturate photosynthesis, E k , varied significantly between the 2 size fractions. Although larger phytoplankton appear to constitute a relatively small fraction of phytoplankton biomass and production in this ecosystem, the photophysiological responses of plankton in this size class demonstrated considerable variability, suggesting these larger size phytoplankton experience time-variable changes in growth despite persistently oligotrophic habitat conditions. KEY WORDS: Photosynthesis · Photophysiology · Phytoplankton · Primary production· North Pacific · Oligotrophic Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 440: 27-40, 2011 28 Photosynthesis-irradiance (P-E) relationships demonstrate several well-defined characteristics, which are typically described by using hyperbolic or negative exponential models (Jassby & Platt 1976. Various photophysiological parameters can be derived from such relationships, including the maximum rate of carbon fixation (termed P max ), the initial slope (termed α) of the P-E response, which provides a measure of light harvesting efficiency by photosynthesis, the susceptibility of photosynthesis to inhibition at elevated light flux (termed β) and the irradiance required to saturate photosynthesis (termed E k ). When used in P-E relationships, rates of photosynthesis are frequently normalized to concentrations of chlorophyll a (chl a), where the resulting normalized maximum photosynthetic rate is termed P chl max . When combined with information on temperaturedependent phytoplankton growth (Eppley 1972), P-E derived parameters can be incorporated into biooptical models and used to estimate areal rates of primary production from remotely sensed determinations of phytoplankton pigments, temperature and light (Bidigare et al. 1992, Pla...

show abstract

“…We will call this the two-step approach. Usually, simple linear techniques (ANOVA, regression, principal components analysis [PCA]) are used to study the variation in the α and P m estimates and their relation with abiotic factors (e.g., Kromkamp and Peene 1995;MacIntyre and Cullen 1996;Goebel and Kremer 2007). In contrast, we propose to extend the Webb model (Eq.…”

Section: Materials and Proceduresmentioning

confidence: 99%

“…In estuaries, for example, with a gradient from saline to freshwater tidal reaches, such spatial variability is pronounced. Concomitant with the abiotic gradient, the biological features such as algal community composition and its properties change along the estuary (Kromkamp and Peene 1995;Muylaert et al 2000;Goebel and Kremer 2007). Similarly, in both abiotic and biotic parameters, a strong seasonality is often observed, reflecting direct responses to ambient temperatures but also resulting from seasonal succession of plankton species.…”

mentioning

confidence: 99%

“…Next the spatiotemporal properties of the parameters of the P-I curve, of plankton production, and of the trophic status of the ecosystem are studied (e.g. Alpine and Cloern 1988;Keller 1988;Cole 1989;Kromkamp and Peene 1995;MacIntyre and Cullen 1996;Goosen et al 1999;Gazeau et al 2005;Goebel and Kremer 2007). Whereas the former approach elucidates the mechanisms underlying algal growth, the performance of the models under (changing) ambient conditions is difficult to assess, since it is virtually impossible to replicate all occurring natural situations in the laboratory.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Modeling photosynthesis‐irradiance curves: Effects of temperature, dissolved silica depletion, and changing community assemblage on community photosynthesis

Cox

Soetaert

Vanderborght

et al. 2010

Limnology & Ocean Methods

View full text Add to dashboard Cite

Phytoplankton primary production plays a crucial role in a range of local and global phenomena. In the quest for understanding the dynamics of algal growth and its associated processes (nutrient uptake, temperature dependence, photoacclimation, etc.), considerable effort is put into both data gathering and modeling. Two main approaches can be distinguished: on the one hand, carefully designed laboratory experiments allow the growth of selected species to be studied under full control, and more or less complex dynamical models are built and calibrated on the data set (e.g., Geider et al. 1997;Davidson and Gurney 1999;Flynn and Martin-Jezequel 2000). This approach increases our mechanistic understanding (Baklouti et al. 2006), although it is acknowledged that existing data sets are not adequate for the evaluation of detailed models (Flynn and Martin-Jezequel 2000). On the other hand, ecosystem scale studies of whole plankton communities are performed by incubating samples retrieved from the field at ambient conditions and varying light intensities E, Modeling photosynthesis-irradiance curves: Effects of temperature, dissolved silica depletion, and changing community assemblage on community photosynthesis AbstractSets of photosynthesis-irradiance (P-I) curves yield more information about community photosynthesis when analyzed with proper models in mind. Based on ecosystem-specific considerations regarding the factors that explain spatial and temporal patterns of photosynthesis, the Webb model of photosynthesis can be extended and fitted to P-I data. We propose a method based on a series of nested models of increasing complexity to test whether supposed effects of environmental factors are reflected in the P-I data, whether more complex models fit the data significantly better than more simple models, and whether parameters describing the presumed dependencies can be estimated from the data set. We compare a direct approach, fitting the extended model to all P-I data at once, with a two-step approach in which photosynthetic efficiencies and maximum photosynthetic rates of individual P-I curves are determined first, and then related to environmental variables. A nested model approach prevents overfitting of multiparameter models. Monte Carlo analysis sheds light on the error structure of the model, by separating parameter and model uncertainty, and provides an assessment of the performance of the formulations used in ecosystem models. We demonstrate that the two-step approach underperforms when used to compute photosynthetic rates. We apply the proposed method to an extensive P-I data set from the Schelde estuary, where spatiotemporal patterns of photosynthesis arise from a combination of seasonality, silica depletion, phytoplankton community composition, and salinity effects.

show abstract

Temporal and spatial variability of photosynthetic parameters and community respiration in Long Island Sound

Cited by 14 publications

References 45 publications

Ecosystem metabolism in shallow coastal lagoons: patterns and partitioning of planktonic, benthic, and integrated community rates

Ecosystem metabolism in shallow coastal lagoons: patterns and partitioning of planktonic, benthic, and integrated community rates

Size-dependent photosynthetic variability in the North Pacific Subtropical Gyre

Modeling photosynthesis‐irradiance curves: Effects of temperature, dissolved silica depletion, and changing community assemblage on community photosynthesis

Contact Info

Product

Resources

About