Jacquemyn Hans, Brys Rein, Honnay Olivier
Division of Plant Ecology and Systematics, University of Leuven, Heverlee, Belgium.
Biol Lett. 2009 Aug 23;5(4):495-8. doi: 10.1098/rsbl.2009.0262. Epub 2009 May 20.
Global circulation models predict increased climatic variability, which could increase variability in demographic rates and affect long-term population viability. In animal-pollinated species, pollination services, and thus fruit and seed set, may be highly variable among years and sites, and depend on both local environmental conditions and climatic variables. Orchid species may be particularly vulnerable to disruption of their pollination services, as most species depend on pollinators for successful fruit set and because seed germination and seedling recruitment are to some extent dependent on the amount of fruits and seeds produced. Better insights into the factors determining fruit and seed set are therefore indispensable for a better understanding of population dynamics and viability of orchid populations under changing climatic conditions. However, very few studies have investigated spatio-temporal variation in fruit set in orchids. Here, we quantified fruit production in eight populations of the orchid Orchis purpurea that does not reward pollinators and 13 populations of the rewarding Neottia (Listera) ovata during five consecutive years (2002-2006). Fruit production in large populations showed much higher stability than that in small populations and was less affected by extreme weather conditions. Our results highlight the potential vulnerability of small orchid populations to an increasingly variable climate through highly unpredictable fruit-set patterns.
全球环流模型预测气候变率将会增加,这可能会加大种群动态率的变率,并影响种群的长期生存能力。在动物传粉的物种中,传粉服务以及由此产生的果实和种子结实率,在年份和地点之间可能会有很大差异,并且取决于当地环境条件和气候变量。兰花物种可能特别容易受到传粉服务中断的影响,因为大多数物种依靠传粉者来成功结实,而且种子萌发和幼苗补充在一定程度上取决于所产生的果实和种子的数量。因此,深入了解决定果实和种子结实率的因素对于更好地理解气候变化条件下兰花种群的动态和生存能力是必不可少的。然而,很少有研究调查兰花结实率的时空变化。在这里,我们连续五年(2002 - 2006年)对8个不回报传粉者的紫花红门兰种群和13个回报传粉者的卵叶鸟巢兰种群的果实产量进行了量化。大种群的果实产量比小种群表现出更高的稳定性,并且受极端天气条件的影响较小。我们的结果突出了小兰花种群通过高度不可预测的结实模式而面对日益多变气候时的潜在脆弱性。