A biophysical representation of seagrass growth for application in a complex shallow-water biogeochemical model

Baird, Mark E., Adams, Matthew P., Babcock, Russell C., Oubelkheir, Kadija, Mongin, Mathieu, Wild-Allen, Karen A., Skerratt, Jennifer, Robson, Barbara J., Petrou, Katherina, Ralph, Peter J., O'Brien, Katherine R., Carter, Alex B., Jarvis, Jessie C. and Rasheed, Michael A. (2016) A biophysical representation of seagrass growth for application in a complex shallow-water biogeochemical model. Ecological Modelling, 325 13-27. doi:10.1016/j.ecolmodel.2015.12.011

Author Baird, Mark E.
Adams, Matthew P.
Babcock, Russell C.
Oubelkheir, Kadija
Mongin, Mathieu
Wild-Allen, Karen A.
Skerratt, Jennifer
Robson, Barbara J.
Petrou, Katherina
Ralph, Peter J.
O'Brien, Katherine R.
Carter, Alex B.
Jarvis, Jessie C.
Rasheed, Michael A.
Title A biophysical representation of seagrass growth for application in a complex shallow-water biogeochemical model
Journal name Ecological Modelling   Check publisher's open access policy
ISSN 0304-3800
Publication date 2016-04-10
Sub-type Article (original research)
DOI 10.1016/j.ecolmodel.2015.12.011
Open Access Status Not Open Access
Volume 325
Start page 13
End page 27
Total pages 15
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2017
Language eng
Formatted abstract
Seagrasses are a critical component of the healthy functioning of many coastal marine ecosystems. Capturing the dynamics of seagrass communities requires both a detailed representation of processes such as seagrass nutrient uptake and photosynthesis, as well as models of light penetration, water column and sediment biogeochemical processes and other ecosystem characteristics that determine the environmental state. Here we develop a new two-state, 13-parameter seagrass model with the aim of providing sufficient detail to represent light and nutrient limitation, but simple enough to be coupled into a 60 state variable biogeochemical model. The novel formulation is built around a nitrogen-specific leaf area parameter, Ω, that is well-constrained and is used in calculating both the rate of photosynthesis and the fraction of the seafloor covered by seagrass, Aeff, where Aeff = 1 − exp(− ΩSGA) and SGA is the aboveground areal seagrass biomass. The model also contains terms for the uptake of nutrients from multiple layers of varying-porosity sediments, translocation of organic matter between leaves and roots, respiration and simple mortality terms. The model is applied to Gladstone Harbour, a macro-tidal sub-tropical estuary in northeast Australia, and is able to simulate realistic spatial seagrass distributions. A simplified form ofthe model is derived, which can be used to predict seagrass light-limited growth based on five measurable species-specific parameters (maximum growth rate, mortality rate, compensation irradiance, leaf blade angle and nitrogen-specific leaf area). The steady-state percent coverage of seagrass achieved at varying light levels and mortality intensity is calculated as a means of understanding the dynamics of the new seagrass model.
Keyword Gladstone Harbour
Leaf area
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Chemical Engineering Publications
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Created: Tue, 26 Jan 2016, 19:09:33 EST by Matthew Adams on behalf of School of Chemical Engineering