Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Ecol Lett. 2021 Dec;24(12):2624-2634. doi: 10.1111/ele.13880. Epub 2021 Sep 23.
Self-organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio-temporal patterns in the species' abundances emerge. The resulting biomass-trait feedback increases local diversity by an order of magnitude compared to scenarios without self-organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions.
自组织形成的空间模式在各种不同的生态系统中都有发现,但对于这些模式如何影响群落多样性知之甚少。在这里,我们使用一个食物链模型,其中自养生物的多样性由一个影响生长和抵御异养生物的特征的连续分布来描述。在孤立的斑块上,由于稳定选择,多样性总是随着时间的推移而丧失,而当地的群落则会在两种替代的稳定群落状态中选择一种,这两种状态的特征是受保护或不受保护的物种的优势。在集合群落的背景下,扩散可以使这些状态失去稳定性,从而出现物种丰度的复杂时空模式。由此产生的生物量特征反馈将局部多样性增加了一个数量级,与没有自组织模式形成的情况相比,从而保持了群落适应生物或非生物环境条件潜在未来变化的能力。