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A model for the biomass–density dynamics of seagrasses developed and calibrated on global data
BACKGROUND: Seagrasses are foundation species in estuarine and lagoon systems, providing a wide array of services for the ecosystem and the human population. Understanding the dynamics of their stands is essential in order to better assess natural and anthropogenic impacts. It is usually considered...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346591/ https://www.ncbi.nlm.nih.gov/pubmed/30683077 http://dx.doi.org/10.1186/s12898-019-0221-4 |
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author | Vieira, Vasco M. N. C. S. Lopes, Inês E. Creed, Joel C. |
author_facet | Vieira, Vasco M. N. C. S. Lopes, Inês E. Creed, Joel C. |
author_sort | Vieira, Vasco M. N. C. S. |
collection | PubMed |
description | BACKGROUND: Seagrasses are foundation species in estuarine and lagoon systems, providing a wide array of services for the ecosystem and the human population. Understanding the dynamics of their stands is essential in order to better assess natural and anthropogenic impacts. It is usually considered that healthy seagrasses aim to maximize their stand biomass (g DW m(−2)) which may be constrained by resource availability i.e., the local environment sets a carrying capacity. Recently, this paradigm has been tested and reassessed, and it is believed that seagrasses actually maximize their efficiency of space occupation—i.e., aim to reach an interspecific boundary line (IBL)—as quick as possible. This requires that they simultaneously grow in biomass and iterate new shoots to increase density. However, this strategy depresses their biomass potential. RESULTS: to comply with this new paradigm, we developed a seagrass growth model that updates the carrying capacities for biomass and shoot density from the seagrass IBL at each time step. The use of a joint biomass and density growth rates enabled parameter estimation with twice the sample sizes and made the model less sensitive to episodic error in either of the variables. The use of instantaneous growth rates enabled the model to be calibrated with data sampled at widely different time intervals. We used data from 24 studies of six seagrass species scattered worldwide. The forecasted allometric biomass–density growth trajectories fit these observations well. Maximum growth and decay rates were found consistently for each species. The growth rates varied seasonally, matching previous observations. CONCLUSIONS: State-of-art models predicting both biomass and shoot density in seagrass have not previously incorporated our observation across many seagrass species that dynamics depend on current state relative to IBL. Our model better simulates the biomass–density dynamics of seagrass stands while shedding light on its intricacies. However, it is only valid for established patches where dynamics involve space-filling, not for colonization of new areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12898-019-0221-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6346591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63465912019-01-29 A model for the biomass–density dynamics of seagrasses developed and calibrated on global data Vieira, Vasco M. N. C. S. Lopes, Inês E. Creed, Joel C. BMC Ecol Research Article BACKGROUND: Seagrasses are foundation species in estuarine and lagoon systems, providing a wide array of services for the ecosystem and the human population. Understanding the dynamics of their stands is essential in order to better assess natural and anthropogenic impacts. It is usually considered that healthy seagrasses aim to maximize their stand biomass (g DW m(−2)) which may be constrained by resource availability i.e., the local environment sets a carrying capacity. Recently, this paradigm has been tested and reassessed, and it is believed that seagrasses actually maximize their efficiency of space occupation—i.e., aim to reach an interspecific boundary line (IBL)—as quick as possible. This requires that they simultaneously grow in biomass and iterate new shoots to increase density. However, this strategy depresses their biomass potential. RESULTS: to comply with this new paradigm, we developed a seagrass growth model that updates the carrying capacities for biomass and shoot density from the seagrass IBL at each time step. The use of a joint biomass and density growth rates enabled parameter estimation with twice the sample sizes and made the model less sensitive to episodic error in either of the variables. The use of instantaneous growth rates enabled the model to be calibrated with data sampled at widely different time intervals. We used data from 24 studies of six seagrass species scattered worldwide. The forecasted allometric biomass–density growth trajectories fit these observations well. Maximum growth and decay rates were found consistently for each species. The growth rates varied seasonally, matching previous observations. CONCLUSIONS: State-of-art models predicting both biomass and shoot density in seagrass have not previously incorporated our observation across many seagrass species that dynamics depend on current state relative to IBL. Our model better simulates the biomass–density dynamics of seagrass stands while shedding light on its intricacies. However, it is only valid for established patches where dynamics involve space-filling, not for colonization of new areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12898-019-0221-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-25 /pmc/articles/PMC6346591/ /pubmed/30683077 http://dx.doi.org/10.1186/s12898-019-0221-4 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Vieira, Vasco M. N. C. S. Lopes, Inês E. Creed, Joel C. A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title | A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title_full | A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title_fullStr | A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title_full_unstemmed | A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title_short | A model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
title_sort | model for the biomass–density dynamics of seagrasses developed and calibrated on global data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346591/ https://www.ncbi.nlm.nih.gov/pubmed/30683077 http://dx.doi.org/10.1186/s12898-019-0221-4 |
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