论文标题
用于特异性海草相互作用的数学模型：C。Nodosa和C. propifera的重现场观测
A mathematical model for inter-specific seagrass interactions: reproducing field observations for C. nodosa and C. prolifera
论文作者
论文摘要
海草是沿海水域中的重要生物，在过去的几十年中，人口的巨大灭亡对海洋生态系统产生了令人担忧的影响。海草草地的空间模型提供了一个数学框架，以研究其动力学过程和新兴的集体行为。这些模型对于预测海草对不同全球变暖方案的反应至关重要，分析现有海草分布的弹性并优化恢复策略。在本文中，我们提出了一个模型，该模型包括基于海草的克隆生长之间的不同物种之间的相互作用。我们对{\ it cymodocea nodosa}和{\ it caulerpa propifera}之间的海草 - 冰毒相互作用的特定情况进行了对模型的理论分析。我们的模拟成功地重现了地中海Ebro河三角洲混合草地中芽密度的现场观测。此外，提出的模型使我们能够研究介导两个大型植物之间相互作用的可能的潜在机制。
Seagrasses are vital organisms in coastal waters, and the drastic demise of their population in the last decades has worrying implications for marine ecosystems. Spatial models for seagrass meadows provide a mathematical framework to study their dynamical processes and emergent collective behavior. These models are crucial to predict the response of seagrasses to different global warming scenarios, analyze the resilience of existing seagrass distributions, and optimize restoration strategies. In this article, we propose a model that includes interactions among different species based on the clonal growth of seagrasses. We present a theoretical analysis of the model considering the specific case of the seagrass-seaweed interaction between {\it Cymodocea nodosa} and {\it Caulerpa prolifera}. Our simulations successfully reproduce field observations of shoot densities in mixed meadows in the Ebro River Delta in the Mediterranean Sea. Besides, the proposed model allows us to investigate the possible underlying mechanisms that mediate the interaction among the two macrophytes.
