Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands;
Santa Fe Institute, Santa Fe, NM 87501.
Proc Natl Acad Sci U S A. 2021 May 25;118(21). doi: 10.1073/pnas.2023709118.
Natural ecological communities are diverse, complex, and often surprisingly stable, but the mechanisms underlying their stability remain a theoretical enigma. Interactions such as competition and predation presumably structure communities, yet theory predicts that complex communities are stable only when species growth rates are mostly limited by intraspecific self-regulation rather than by interactions with resources, competitors, and predators. Current theory, however, considers only the network topology of population-level interactions between species and ignores within-population differences, such as between juvenile and adult individuals. Here, using model simulations and analysis, I show that including commonly observed differences in vulnerability to predation and foraging efficiency between juvenile and adult individuals results in up to 10 times larger, more complex communities than observed in simulations without population stage structure. These diverse communities are stable or fluctuate with limited amplitude, although in the model only a single basal species is self-regulated, and the population-level interaction network is highly connected. Analysis of the species interaction matrix predicts the simulated communities to be unstable but for the interaction with the population-structure subsystem, which completely cancels out these instabilities through dynamic changes in population stage structure. Common differences between juveniles and adults and fluctuations in their relative abundance may hence have a decisive influence on the stability of complex natural communities and their vulnerability when environmental conditions change. To explain community persistence, it may not be sufficient to consider only the network of interactions between the constituting species.
自然生态群落多样、复杂,且往往出人意料地稳定,但维持其稳定的机制仍是一个理论谜团。竞争和捕食等相互作用理应塑造群落,但理论预测,只有当物种的生长速率主要受到种内自我调节的限制,而不是受到与资源、竞争者和捕食者的相互作用的限制时,复杂的群落才会稳定。然而,当前的理论只考虑了物种间种群水平相互作用的网络拓扑结构,而忽略了种群内的差异,例如幼体和成年个体之间的差异。在这里,我通过模型模拟和分析表明,包括捕食脆弱性和觅食效率在幼体和成年个体之间通常观察到的差异,会导致比没有种群阶段结构的模拟中观察到的更大、更复杂的群落多达 10 倍。尽管在模型中只有一个基础物种受到自我调节,且种群水平的相互作用网络高度连接,但这些多样化的群落是稳定的或波动幅度有限的。对物种相互作用矩阵的分析预测,模拟群落是不稳定的,但与种群结构子系统的相互作用会完全抵消这些不稳定性,因为种群阶段结构会发生动态变化。因此,幼体和成年个体之间的常见差异及其相对丰度的波动可能对复杂自然群落的稳定性及其在环境条件变化时的脆弱性具有决定性影响。为了解释群落的持久性,仅考虑构成物种之间的相互作用网络可能还不够。