Institute of Landscape and Plant Ecology, University of Hohenheim, 70599 Stuttgart, Germany;
Institute of Landscape and Plant Ecology, University of Hohenheim, 70599 Stuttgart, Germany.
Proc Natl Acad Sci U S A. 2020 Feb 18;117(7):3663-3669. doi: 10.1073/pnas.1908684117. Epub 2020 Feb 6.
The ecological niche of a species describes the variation in population growth rates along environmental gradients that drives geographic range dynamics. Niches are thus central for understanding and forecasting species' geographic distributions. However, theory predicts that migration limitation, source-sink dynamics, and time-lagged local extinction can cause mismatches between niches and geographic distributions. It is still unclear how relevant these niche-distribution mismatches are for biodiversity dynamics and how they depend on species life-history traits. This is mainly due to a lack of the comprehensive, range-wide demographic data needed to directly infer ecological niches for multiple species. Here we quantify niches from extensive demographic measurements along environmental gradients across the geographic ranges of 26 plant species (Proteaceae; South Africa). We then test whether life history explains variation in species' niches and niche-distribution mismatches. Niches are generally wider for species with high seed dispersal or persistence abilities. Life-history traits also explain the considerable interspecific variation in niche-distribution mismatches: poorer dispersers are absent from larger parts of their potential geographic ranges, whereas species with higher persistence ability more frequently occupy environments outside their ecological niche. Our study thus identifies major demographic and functional determinants of species' niches and geographic distributions. It highlights that the inference of ecological niches from geographical distributions is most problematic for poorly dispersed and highly persistent species. We conclude that the direct quantification of ecological niches from demographic responses to environmental variation is a crucial step toward a better predictive understanding of biodiversity dynamics under environmental change.
物种的生态位描述了种群增长率随环境梯度的变化,这种变化驱动了地理分布范围的动态。因此,生态位是理解和预测物种地理分布的核心。然而,理论预测,迁移限制、源汇动态和时滞的局部灭绝会导致生态位和地理分布之间的不匹配。这些生态位-分布不匹配对于生物多样性动态的相关性以及它们如何依赖于物种的生活史特征,仍然不清楚。这主要是由于缺乏全面的、涵盖物种分布范围的、用于直接推断多个物种生态位的综合的、范围广泛的种群动态数据。在这里,我们通过在 26 种植物物种(Proteaceae;南非)的地理分布范围内沿环境梯度进行广泛的种群动态测量来量化生态位。然后,我们测试了生活史是否可以解释物种生态位和生态位-分布不匹配的变化。对于具有较高种子扩散或持久性能力的物种,生态位通常更宽。生活史特征还解释了生态位-分布不匹配的相当大的种间变异:扩散能力较差的物种在其潜在地理分布范围的较大部分缺失,而具有较高持久性能力的物种更频繁地占据其生态位以外的环境。因此,我们的研究确定了物种生态位和地理分布的主要人口统计学和功能决定因素。它强调了从地理分布推断生态位对于扩散能力差和持久性高的物种最为成问题。我们的结论是,通过对环境变化的种群动态响应直接量化生态位,是更好地预测理解环境变化下生物多样性动态的关键步骤。