Bateman Richard M, Stott Katherine M, Pearce David F
Jodrell Laboratory, Royal Botanic Gardens Kew, Surrey, United Kingdom.
Independent Researcher, Brighton, Sussex, United Kingdom.
Front Plant Sci. 2023 Aug 8;14:1213250. doi: 10.3389/fpls.2023.1213250. eCollection 2023.
A large English population of the temperate tuberous Greater Butterfly-orchid, , was monitored through a 16-year period. Each June the number of flowering plants was counted and 60 flowering plants were measured for four morphological traits, selected for both ease of measurement and their contrasting contributions to the life history of the species. Trait data were tested annually in pairwise combinations for individual plants, before mean values throughout the study period were regressed and cross-correlated against each other and against local data for four meteorological parameters. Labellar spur length proved to be more constrained than either flower number or stem height, and rarely yielded statistically significant correlations with other traits, whereas the three remaining traits reliably showed modest but significant correlations. Mean values and coefficients of variation differed only modestly among years and showed few of any meaningful trends. Spring rainfall and insolation had no detectable effect on traits of plants flowering that June; instead, they impacted on trait expression during the following year, presumably as a result of differential resourcing of replacement tubers formed during the previous year. High spring rainfall in year t-1 increased leaf area and stem height in year t, whereas the widely fluctuating number of flowering plants was highest in years immediately following those characterised by relatively dry and/or sunny springs. The "decision" to flower is taken during the previous summer, though it may be modified through winter/spring abortion of above-ground organs. The proportion of the population electing to flower is the only measured parameter that impacts significantly on annual reproductive output, emphasising the under-rated difficulty of evolving through directional selection. Any attempt to predict the behaviour of plant species in response to climate change must integrate information on demography with that on life history, habitat preference and intimate symbioses.
在16年的时间里,对英国大量温带块茎大花蝴蝶兰种群进行了监测。每年6月统计开花植株的数量,并对60株开花植株的四个形态特征进行测量,这些特征的选择既考虑了测量的便利性,也考虑了它们对该物种生活史的不同贡献。每年对单株植物的性状数据进行两两组合测试,然后将整个研究期间的平均值相互回归并进行交叉相关分析,并与四个气象参数的当地数据进行交叉相关分析。结果表明,唇瓣距长度比花数或茎高受到的限制更大,与其他性状的相关性很少具有统计学意义,而其余三个性状则可靠地显示出适度但显著的相关性。平均值和变异系数在不同年份之间仅略有差异,几乎没有任何有意义的趋势。春季降雨和日照对当年6月开花的植物性状没有可检测到的影响;相反,它们影响次年的性状表达,这可能是由于上一年形成的替代块茎资源分配不同所致。第t-1年春季降雨量大,会增加第t年的叶面积和茎高,而开花植物数量的大幅波动在春季相对干燥和/或阳光充足的年份之后的年份中最高。开花的“决定”是在前一个夏天做出的,尽管它可能会通过地上器官在冬季/春季的败育而改变。选择开花的种群比例是唯一对年繁殖产量有显著影响的测量参数,这突出了通过定向选择进化的难度被低估的问题。任何预测植物物种对气候变化反应行为的尝试都必须将人口统计学信息与生活史、栖息地偏好和亲密共生关系的信息结合起来。