Algebraic equilibrium solution of tissue nitrogen quota in algae and the discrepancy between calibrated parameters and physiological properties

Port, Alexander; Bryan, Karin R.; Pilditch, Conrad A.; Hamilton, David P.; Bischof, Kai

doi:10.1016/j.ecolmodel.2015.05.034

Cited by 11 publications

(5 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, the C/N ratio is not constant and varies seasonally (Graiff et al b ). Thus, we modeled Fucus growth as a two‐step coupled function; uptake is dependent on the external nutrient concentration, and growth ( μ in mol m −3 d −1 ) is dependent on the internal carbon and nitrogen concentrations (see, e.g., Fong et al ; Solidoro et al ; Aldridge and Trimmer ; Port et al ).

μ = μ_{\max} ∙ \min ((),, \frac{N_{reserve}^{frac}}{((), N_{reserve}^{frac} + N_{\min}^{struc})}, \frac{C_{reserve}^{frac}}{((), C_{reserve}^{frac} + C_{\min}^{struc})}) .

…”

Section: Materials and Proceduresmentioning

confidence: 99%

“…These models focus on either seagrasses or macroalgae-forming nuisance blooms in coastal systems, or macroalgae were not included at all (Solidoro et al 1997;Buzzelli et al 1999;Best et al 2001;Martins and Marques 2002). Several process-based mathematical models of macroalgal growth dynamics have been developed and applied to general scenarios and specific case studies (Duarte and Ferreira 1997;Zaldívar et al 2009;Brush and Nixon 2010;Ren et al 2014;Hadley et al 2015;Port et al 2015). Seasonal growth and composition of the kelp Saccharina latissima (L.) C.E.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Model simulation of seasonal growth of Fucus vesiculosus in its benthic community

Graiff

Karsten

Radtke

et al. 2020

Limnology & Ocean Methods

View full text Add to dashboard Cite

Numerical models are a suitable tool to quantify impacts of predicted climate change on complex ecosystems but are rarely used to study effects on benthic macroalgal communities. Fucus vesiculosus L. is a habitat‐forming macroalga in the Baltic Sea and alarming shifts from the perennial Fucus community to annual filamentous algae are reported. We developed a box model able to simulate the seasonal growth of the Baltic Fucus–grazer–epiphyte system. This required the implementation of two state variables for Fucus biomass in units of carbon (C) and nitrogen (N). Model equations describe relevant physiological and ecological processes, such as storage of C and N assimilates by Fucus, shading effects of epiphytes or grazing by herbivores on both Fucus and epiphytes, but with species‐specific rates and preferences. Parametrizations of the model equations and required initial conditions were based on measured parameters and process rates in the near‐natural Kiel Outdoor Benthocosm (KOB) experiments during the Biological Impacts of Ocean Acidification project. To validate the model, we compared simulation results with observations in the KOB experiment that lasted from April 2013 until March 2014 under ambient and climate‐change scenarios, that is, increased atmospheric temperature and partial pressure of carbon dioxide. The model reproduced the magnitude and seasonal cycles of Fucus growth and other processes in the KOBs over 1 yr under different scenarios. Now having established the Fucus model, it will be possible to better highlight the actual threat of climate change to the Fucus community in the shallow nearshore waters of the Baltic Sea.

show abstract

μ = μ_{\max} ∙ \min ((),, \frac{N_{reserve}^{frac}}{((), N_{reserve}^{frac} + N_{\min}^{struc})}, \frac{C_{reserve}^{frac}}{((), C_{reserve}^{frac} + C_{\min}^{struc})}) .

…”

Section: Materials and Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%

Model simulation of seasonal growth of Fucus vesiculosus in its benthic community

Graiff

Karsten

Radtke

et al. 2020

Limnology & Ocean Methods

View full text Add to dashboard Cite

show abstract

“…macroalgae using an integrated approach of cultivation experiments in controlled conditions and a model simulating how they develop in time. Thus, using an indoor macroalgae photobioreactor (MPBR) 3 and a literature-based production model 7,[31][32][33][34][35][36][37][38][39][40] adjusted to a controlled reactor, we follow the dynamics of those three variables in cultivation experiments performed under controlled light, temperature, and salinity, under various fertilizing (i.e., addition of external N) regimes. First, we use experimental results to perform a high-resolution calibration of model parameters, aiming to improve model robustness for different fertilizing regimes.…”

Section: Introductionmentioning

confidence: 99%

Modeling of growth ofUlvasp. macroalgae in a controlled photobioreactor based on nitrogen accumulation dynamics

Zollmann

Liberzon

Golberg

2023

Preprint

View full text Add to dashboard Cite

Macroalgae biomass production models that capture nutrient dynamics, temperature, light, and salinity are important for the design and operation of large-scale farms. The goal of this study is to understand how the nitrogen fertilizing regime, relating to fertilizing dose (micro-molar week-1), amplitude (micro-molar N), and duration (hours), affects the dynamics of nitrogen content and biomass production of the Ulva sp. macroalgae. We hypothesize that the nitrogen fertilizing regime controls the Ulva Nitrogen Use Efficiency (NUE), defined here as the fraction of fertilizer nitrogen that is utilized and allocated to yield N, and, accordingly, also nitrogen assimilation in the biomass and the growth rate. We test this hypothesis by measuring internal nitrogen and biomass weight and by calculating NUE under various fertilization regimes in controlled photobioreactors. Based on this experimental data, we developed a biomass productivity model that predicts nitrogen and biomass dynamics in time over three weeks of cultivation. This study points out efficient fertilizing regimes and enables the development of a comprehensive understanding of the dynamic relationship between external N, internal N, and biomass production of the Ulva sp. macroalgae under varying external N levels, which is important for real-world agricultural applications. This study provides a better understanding of the external N-internal N-biomass triangle followed by an improved dynamic cultivation model, enabling better control of nutrient application and biomass production in macroalgae farming for a sustainable marine bioeconomy.

show abstract

“…Such detailed models, which combine biomass productivity, crop yields, sustainability, and economics, are not yet available for macroalgae offshore farms. Yet, initial steps in this direction have been made by developing growth function models to predict seasonal blooms [22][23][24][25][26][27][28][29][30][31][32][33] and biomass productivity in the controlled photobioreactors [34][35][36][37][38] . The existing models for offshore biomass productivity do not provide information on the effects of dynamic environmental factors such as light, temperature and nutrients on the biomass productivity and chemical composition.…”

Section: Introductionmentioning

confidence: 99%

Cultivation ofUlvasp. offshore the Eastern Mediterranean Sea in experimental bioreactors: seasonal growth dynamics and environmental effects

Zollmann

Liberzon

Palatnik

et al. 2023

Preprint

View full text Add to dashboard Cite

Offshore macroalgae production could provide an alternative source of biomass for food, materials and energy. However, the offshore environment in general, and specifically the Eastern Mediterranean Sea (EMS) offshore, is a high energy and low nutrients environment and thus is challenging for macroalgae farming. This study aims to understand the effects of season, depth, and fertilization duration on growth rates and chemical composition in offshore Ulva biomass production and develop a predictive model suitable to offshore conditions. We hypothesize that offshore Ulva growth rates and chemical composition will follow a seasonal trend and that applying rapid onshore fertilization could refill nutrient storages and enable continuous offshore cultivation. We test this hypothesis by measuring Ulva biomass and internal nitrogen in offshore experiments in the nitrogen-poor EMS a few kilometers offshore the Israeli coast. We construct a predictive cultivation model to estimate N concentrations in the sea during experiments. This study demonstrates the feasibility of growing Ulva sp. offshore the EMS with an onshore nutrient supply and develops a better understanding of seasonal growth dynamics and environmental effects (nitrogen, waves, depth, etc.). Furthermore, the study showcases the applicability of the macroalgae cultivation model in the offshore environment and its potential contribution throughout the whole lifecycle of seaweed cultivation.

show abstract

Algebraic equilibrium solution of tissue nitrogen quota in algae and the discrepancy between calibrated parameters and physiological properties

Cited by 11 publications

References 45 publications

Model simulation of seasonal growth of Fucus vesiculosus in its benthic community

Model simulation of seasonal growth of Fucus vesiculosus in its benthic community

Modeling of growth ofUlvasp. macroalgae in a controlled photobioreactor based on nitrogen accumulation dynamics

Cultivation ofUlvasp. offshore the Eastern Mediterranean Sea in experimental bioreactors: seasonal growth dynamics and environmental effects

Contact Info

Product

Resources

About