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Modelling the habitat preference of two key Sphagnum species in a poor fen as controlled by capitulum water content

机译:用Capitulum含水量控制的贫困汾两种关键泥质物种的栖息地偏好

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Current peatland models generally treat vegetation as static, although plant community structure is known to alter as a response to environmental change. Because the vegetation structure and ecosystem functioning are tightly linked, realistic projections of peatland response to climate change require the inclusion of vegetation dynamics in ecosystem models. In peatlands, Sphagnum mosses are key engineers. Moss community composition primarily follows habitat moisture conditions. The known species habitat preference along the prevailing moisture gradient might not directly serve as a reliable predictor for future species compositions, as water table fluctuation is likely to increase. Hence, modelling the mechanisms that control the habitat preference of Sphagna is a good first step for modelling community dynamics in peatlands. In this study, we developed the Peatland Moss Simulator (PMS), which simulates the community dynamics of the peatland moss layer. PMS is a process-based model that employs a stochastic, individual-based approach for simulating competition within the peatland moss layer based on species differences in functional traits. At the shoot-level, growth and competition were driven by net photosynthesis, which was regulated by hydrological processes via the capitulum water content. The model was tested by predicting the habitat preferences of Sphagnum?magellanicum and Sphagnum?fallax – two key species representing dry (hummock) and wet (lawn) habitats in a poor fen peatland (Lakkasuo, Finland). PMS successfully captured the habitat preferences of the two Sphagnum species based on observed variations in trait properties. Our model simulation further showed that the validity of PMS depended on the interspecific differences in the capitulum water content being correctly specified. Neglecting the water content differences led to the failure of PMS to predict the habitat preferences of the species in stochastic simulations. Our work highlights the importance of the capitulum water content with respect to the dynamics and carbon functioning of Sphagnum communities in peatland ecosystems. Thus, studies of peatland responses to changing environmental conditions need to include capitulum water processes as a control on moss community dynamics. Our PMS model could be used as an elemental design for the future development of dynamic vegetation models for peatland ecosystems.
机译:目前的泥炭地模型通常将植被视为静态,尽管已知植物群落结构作为对环境变化的反应改变。由于植被结构和生态系统功能紧密相关,因此泥炭地对气候变化的逼真投影需要在生态系统模型中纳入植被动态。在泥炭地,斯巴格姆苔藓是关键工程师。苔藓群落组成主要遵循栖息地的水分条件。随着未来物种组合物的,已知的物种栖息地偏好可能不会直接用作可靠的预测因子,因为水表波动可能会增加。因此,根据控制斯帕纳的栖息地偏好的机制建模是一种良好的第一步,可以在泥炭地中建模社区动态。在这项研究中,我们开发了泥炭兰苔模拟器(PMS),它模拟了泥炭覆代苔藓层的社区动态。 PMS是一种基于过程的模型,基于功能性状的物种差异,采用了一种用于模拟泥炭覆代苔藓层内的竞争的流动性的个人方法。在拍摄级别,增长和竞争受净光合作用驱动,其通过Capitulum含水量通过水文过程调节。通过预测SpHagnum的栖息地偏好和Sphagnum的栖息地偏好来测试该模型?Realsax - 代表干(Hummock)和湿(草坪)栖息地的两个关键物种在贫困的芬兰(Lakkasuo,芬兰)。 PMS基于观察到的特性变化成功地捕获了两种SPHAGNUM物种的栖息地偏好。我们的模型仿真进一步表明,PMS的有效性取决于正确指定的Capitulum水含量的差异差异。忽略含水量的差异导致PMS的失败,以预测随机模拟中物种的栖息地偏好。我们的作品突出了Capitulum含水量与泥炭地生态系统泥炭族社区动态和碳运作的重要性。因此,对改变环境条件的泥炭地反应的研究需要包括Capitulum水资源作为苔藓社区动态的控制。我们的PMS模型可用作泥炭地生态系统动态植被模型的未来发展的元素设计。

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