4.0 Article

A model for the biomass-density dynamics of seagrasses developed and calibrated on global data

期刊

BMC ECOLOGY
卷 19, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12898-019-0221-4

关键词

Above-ground biomass; Cymodoceae; Halodule; Interspecific boundary line; Logistic growth; Thalassia; Zostera

类别

资金

  1. ERDF Funds of the Competitiveness Factors Operational Programm -COMPETE
  2. FCT-Foundation for Science and Technology (FCT/MCTES (PIDDAC)) [UID/EEA/50009/2019]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior [1137/2010]
  4. Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro [FAPERJ-E-26/111.574/2014, E26/201.286/2014]
  5. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico [CNPq-307117/2014-6]

向作者/读者索取更多资源

BackgroundSeagrasses 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 (gDWm(-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 occupationi.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.Resultsto 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.ConclusionsState-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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据