A discrete-time logistic model of frond dynamics for Mazzaella parksii (Rhodophyta, Gigartinales). Scrosati, R. Journal of Applied Phycology, 16(1):69–72, 2004.
doi  abstract   bibtex   
Mathematical modelling is useful in population ecology and resource management. Logistic models have traditionally been applied to unitary organisms, but it is unclear whether they could be used at the frond (ramet) level for clonal seaweeds. This study shows that frond dynamics for the clonal seaweed Mazzaella parksii (=M. cornucopiae) can be described by a discrete-time logistic model. The model is realistic in that it includes density-dependence, which was previously demonstrated experimentally for this species, and only necessitates data on frond density measured at discrete time intervals. This may constitute a useful tool for the management of clonal seaweeds of economic importance that occur in dense stands.
@article{scrosati_discrete-time_2004,
	title = {A discrete-time logistic model of frond dynamics for {Mazzaella} parksii ({Rhodophyta}, {Gigartinales})},
	volume = {16},
	shorttitle = {A discrete-time logistic model of frond dynamics for {Mazzaella} parksii ({Rhodophyta}, {Gigartinales})},
	doi = {10.1023/B:JAPH.0000019072.58963.4c},
	abstract = {Mathematical modelling is useful in population ecology and resource management. Logistic models have traditionally been applied to unitary organisms, but it is unclear whether they could be used at the frond (ramet) level for clonal seaweeds. This study shows that frond dynamics for the clonal seaweed Mazzaella parksii (=M. cornucopiae) can be described by a discrete-time logistic model. The model is realistic in that it includes density-dependence, which was previously demonstrated experimentally for this species, and only necessitates data on frond density measured at discrete time intervals. This may constitute a useful tool for the management of clonal seaweeds of economic importance that occur in dense stands.},
	number = {1},
	journal = {Journal of Applied Phycology},
	author = {Scrosati, R.},
	year = {2004},
	keywords = {Mazzaella parksii},
	pages = {69--72},
}

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