Hereford Joe
Department of Evolution and Ecology, University of California, Davis, CA 95616, USA.
Integr Comp Biol. 2017 Nov 1;57(5):1010-1020. doi: 10.1093/icb/icx089.
An organism's environment can vary over spatial and temporal scales. Seasonal variation is an important but overlooked source of environmental variation that often shapes the ranges of organisms. The seasonal niche is a description of the spatiotemporal range of an organism resulting from spatial variation in seasonal conditions. In this study, I describe the seasonal niche of a short-lived annual plant, and variation within the species in seasonal niche breadth. I construct a seasonal species distribution model (SDM) for the species, and using thermal performance curves (TPCs), construct mechanistic SDMs (MSDMs) for individual genotypes. I quantify the correlation between the suitability scores generated in the SDM and the predicted dry weight generated by the MSDMs for each genotype, to estimate variation in seasonal niche breadth among genotypes. Thus, the parameters of TPCs reflect generalist/specialist strategies. I detected significant relationships between thermal performance breadth and maximum predicted fitness and significant correlations between optimal growth temperature and thermal performance breadth. There were large positive correlations between predictions of the SDM and MSDMs based on growth within individual genotypes. The variation in these correlations suggests variation in the degree of specialization. Genotypes with the broadest TPCs had the largest correlations between their MSDMs and the SDM, suggesting that they were generalists. The results show that correlative and MSDMs make similar predictions over the seasonal range, and that ecological specialization can vary dramatically within species.
生物体的环境会在空间和时间尺度上发生变化。季节变化是环境变化的一个重要但常被忽视的来源,它往往塑造了生物体的分布范围。季节生态位描述的是由于季节条件的空间变化而导致的生物体的时空范围。在本研究中,我描述了一种一年生短命植物的季节生态位,以及该物种内季节生态位宽度的变化。我构建了该物种的季节物种分布模型(SDM),并利用热性能曲线(TPC)为各个基因型构建了机理物种分布模型(MSDM)。我量化了SDM中生成的适宜性得分与MSDM为每个基因型预测的干重之间的相关性,以估计各基因型之间季节生态位宽度的变化。因此,TPC的参数反映了泛化/特化策略。我检测到热性能宽度与最大预测适合度之间存在显著关系,以及最佳生长温度与热性能宽度之间存在显著相关性。基于个体基因型内的生长情况,SDM和MSDM的预测之间存在很大的正相关。这些相关性的变化表明特化程度存在差异。TPC最宽的基因型,其MSDM与SDM之间的相关性最大,这表明它们是泛化种。结果表明,相关模型和MSDM在季节范围内做出了相似的预测,并且生态特化在物种内部可能会有很大差异。