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首页> 外文期刊>Biology >Using Natural Gradients to Infer a Potential Response to Climate Change: An Example on the Reproductive Performance of Dactylis Glomerata L.
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Using Natural Gradients to Infer a Potential Response to Climate Change: An Example on the Reproductive Performance of Dactylis Glomerata L.

机译:利用自然梯度推断对气候变化的潜在响应:Dactylis Glomerata L.繁殖性能的一个例子。

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摘要

An understanding of the climate conditions governing spatial variation in the reproductive performance of plants can provide important information about the factors characterizing plant community structure, especially in the context of climate change. This study focuses on the effect of climate on the sexual reproductive output of Dactylis glomerata L., a perennial grass species widely distributed throughout temperate regions. An indirect space-for-time substitution procedure was used. Sixty mountain populations of the same target species were surveyed along an elevation gradient, and then, a relevant climate model was used to infer a potential response to climate change over time. Within each population, information on the number of stems, seed number and seed mass were collected. Resource investment in reproduction (RIR) was quantified as seed number × seed mass. A clear variation was found in the reproductive performance of D. glomerata along the elevational gradient: RIR improved with increasing temperature. The best model included only one term: the maximum temperature of the warmest month. This study demonstrates that mountain ecosystems offer particularly good opportunities to study climate effects over relatively short distances and suggests that warming will enhance D. glomerata’s reproductive output throughout its elevational range. Furthermore, it can be hypothesized that a potential migration of D. glomerata toward higher altitudes may occur in response to accelerated climate change.
机译:对控制植物繁殖性能空间变化的气候条件的了解可以提供有关表征植物群落结构的因素的重要信息,尤其是在气候变化的情况下。这项研究的重点是气候对Dactylis glomerata L.(一种多年生草种广泛分布于温带地区)的有性生殖输出的影响。使用了间接的时空替换程序。沿着海拔梯度调查了相同目标物种的60个山区种群,然后使用相关的气候模型来推断对气候变化的潜在响应。在每个种群中,收集了有关茎数,种子数和种子质量的信息。生殖资源投资(RIR)量化为种子数量×种子质量。在海拔高度梯度上发现了D. glomerata繁殖性能的明显变化:RIR随着温度的升高而改善。最佳模型仅包含一个术语:最暖月的最高温度。这项研究表明,山区生态系统为研究相对短距离的气候影响提供了特别好的机会,并且表明变暖将在整个海拔范围内提高D. glomerata的繁殖产量。此外,可以假设,响应加速的气候变化,可能会发生D. glomerata向更高海拔的潜在迁移。

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