Mariño Joany, Dufour Suzanne C, Hurford Amy, Récapet Charlotte
Department of Biology, Memorial University of Newfoundland 45 Arctic Ave., St John's, Newfoundland, Canada A1C 5S7.
Department of Mathematics and Statistics, Memorial University of Newfoundland. Elizabeth Avenue, St John's, Newfoundland, Canada A1C 5S7.
Conserv Physiol. 2023 Mar 30;11(1):coad013. doi: 10.1093/conphys/coad013. eCollection 2023.
Animals show a vast array of phenotypic traits in time and space. Such variation patterns have traditionally been described as ecogeographical rules; for example, the tendency of size and clutch size to increase with latitude (Bergmann's and Lack's rules, respectively). Despite considerable research into these variation patterns and their consequences for biodiversity and conservation, the processes behind trait variation remain controversial. Here, we show how food variability, largely set by climate and weather, can drive interspecific trait variation by determining individual energy input and allocation trade-offs. Using a dynamic energy budget (DEB) model, we simulated different food environments, as well as interspecific variability in the parameters for energy assimilation, mobilization and allocation to soma. We found that interspecific variability is greater when the resource is non-limiting in both constant and seasonal environments. Our findings further show that individuals can reach larger biomass and greater reproductive output in a seasonal environment than in a constant environment of equal average resource due to the peaks of food surplus. Our results agree with the classical patterns of interspecific trait variation and provide a mechanistic understanding that supports recent hypotheses which explain them: the resource and the eNPP (net primary production during the growing season) rules. Due to the current alterations to ecosystems and communities, disentangling the mechanisms of trait variation is increasingly important to understand and predict biodiversity dynamics under climate change, as well as to improve conservation strategies.
动物在时间和空间上表现出大量的表型特征。这种变异模式传统上被描述为生态地理规则;例如,体型和窝卵数随纬度增加的趋势(分别为伯格曼法则和拉克法则)。尽管对这些变异模式及其对生物多样性和保护的影响进行了大量研究,但性状变异背后的过程仍存在争议。在这里,我们展示了主要由气候和天气决定的食物可变性如何通过确定个体能量输入和分配权衡来驱动种间性状变异。使用动态能量预算(DEB)模型,我们模拟了不同的食物环境,以及能量同化、动员和分配到躯体的参数中的种间变异性。我们发现,在恒定和季节性环境中,当资源不受限时,种间变异性更大。我们的研究结果进一步表明,由于食物盈余的峰值,个体在季节性环境中比在平均资源相等的恒定环境中能够达到更大的生物量和更高的繁殖输出。我们的结果与种间性状变异的经典模式一致,并提供了一种机制性理解,支持了解释这些模式的近期假说:资源和eNPP(生长季节的净初级生产力)规则。由于目前生态系统和群落的变化,厘清性状变异的机制对于理解和预测气候变化下的生物多样性动态以及改进保护策略越来越重要。