Suppr超能文献

突发空间模式可指示珊瑚群落现实模型中的即将到来的状态转移。

Emergent Spatial Patterns Can Indicate Upcoming Regime Shifts in a Realistic Model of Coral Community.

出版信息

Am Nat. 2024 Feb;203(2):204-218. doi: 10.1086/728117. Epub 2024 Jan 2.

Abstract

AbstractIncreased stress on coastal ecosystems, such as coral reefs, seagrasses, kelp forests, and other habitats, can make them shift toward degraded, often algae-dominated or barren communities. This has already occurred in many places around the world, calling for new approaches to identify where such regime shifts may be triggered. Theoretical work predicts that the spatial structure of habitat-forming species should exhibit changes prior to regime shifts, such as an increase in spatial autocorrelation. However, extending this theory to marine systems requires theoretical models connecting field-supported ecological mechanisms to data and spatial patterns at relevant scales. To do so, we built a spatially explicit model of subtropical coral communities based on experiments and long-term datasets from Rapa Nui (Easter Island, Chile), to test whether spatial indicators could signal upcoming regime shifts in coral communities. Spatial indicators anticipated degradation of coral communities following increases in frequency of bleaching events or coral mortality. However, they were generally unable to signal shifts that followed herbivore loss, a widespread and well-researched source of degradation, likely because herbivory, despite being critical for the maintenance of corals, had comparatively little effect on their self-organization. Informative trends were found under both equilibrium and nonequilibrium conditions but were determined by the type of direct neighbor interactions between corals, which remain relatively poorly documented. These inconsistencies show that while this approach is promising, its application to marine systems will require detailed information about the type of stressor and filling current gaps in our knowledge of interactions at play in coral communities.

摘要

摘要 沿海生态系统(如珊瑚礁、海草、海带林和其他生境)所承受的压力不断增加,可能导致它们向退化、通常以藻类为主或贫瘠的群落转变。这种情况已经在世界许多地方发生,因此需要新的方法来确定哪些生态系统可能会发生这种转变。理论工作预测,生境形成物种的空间结构应该在发生转变之前发生变化,例如空间自相关性增加。然而,将这一理论扩展到海洋系统需要理论模型,将支持实地的生态机制与相关尺度上的数据和空间模式联系起来。为此,我们根据拉帕努伊(智利复活节岛)的实验和长期数据集,建立了一个亚热带珊瑚群落的空间显式模型,以检验空间指标是否可以预测珊瑚群落即将发生的转变。空间指标可以预测珊瑚群落因白化事件或珊瑚死亡率增加而退化。然而,它们通常无法预测因食草动物减少而导致的转变,而食草动物的减少是一种广泛存在且研究充分的退化来源,这可能是因为尽管食草动物对珊瑚的维持至关重要,但对珊瑚的自我组织影响相对较小。在平衡和非平衡条件下都发现了有意义的趋势,但这取决于珊瑚之间直接邻接相互作用的类型,而这些相互作用的类型仍相对缺乏记录。这些不一致表明,尽管这种方法很有前途,但将其应用于海洋系统将需要有关胁迫类型的详细信息,并填补我们对珊瑚群落中发挥作用的相互作用的现有知识空白。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验