Multidimensional trait space outlines the effects of changes in abiotic filtering on aquatic plant community from sub-Antarctic ponds

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Pauline Douce , Pauline Eymar-Dauphin , Hugo Saiz , David Renault , Florian Mermillod-Blondin , Laurent Simon , Félix Vallier , Anne-Kristel Bittebiere
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Abstract

In the current context of climate changes, which causes strong habitat variation, an understanding of the mechanisms underlying plant community dynamics is crucial to predict species fates. The taking of inter- and intraspecific trait variability into account would aid the identification of these mechanisms. Recently, a method involving the calculation of hypervolumes (n-dimensional spaces of trait values) was developed for the study of plant responses to their environments. Through hypervolume comparison, we examined the effects of interannual variations in abiotic conditions on aquatic plant communities in ponds of the sub-Antarctic Iles Kerguelen. This model system is particularly relevant for the examination of the consequences of climate changes–related habitat variation, as aquatic plant communities are adapted to cold and overall stable habitat conditions and the sub-Antarctic climate is changing rapidly. We conducted field sampling over four years at three sites. For all aquatic species, we measured five foliar, shoot, and clonal traits characterizing individual growth strategies that are likely to respond to variations in abiotic conditions on 1565 ramets over the four years. We measured 10 abiotic variables to characterize the plants’ habitats every three months during the survey period. Hypervolumes were calculated for each site and year to assess variation in aquatic plant strategies at the community level. We demonstrated (i) the importance of spatiotemporal gradients of trophic status, temperature, and pH and dissolved oxygen concentration for the functional structure of aquatic plant communities; (ii) that the shape of the mean response was trait dependent, with traits related to plant metabolism (specific leaf area and specific internode mass) and three-dimensional space exploration (height and internode length) responding to the three spatiotemporal abiotic gradients; (iii) that selection pressures were especially high on aerial traits relative to clonal traits; and (iv) that given the community response to interannual variations of abiotic conditions, environmental changes should impact macrophyte community productivity. Synthesis. We conclude that the examination of interannual abiotic variation over four years is sufficient to detect rapid responses of macrophyte communities, with likely reliance on phenotypic plasticity. Our findings may inform the characterization of future functional changes in aquatic plant communities of the sub-Antarctic region, where similar species are found.

多维性状空间勾勒出非生物过滤变化对亚寒带池塘水生植物群落的影响
在当前气候变化导致栖息地差异巨大的背景下,了解植物群落动态的基本机制对于预测物种命运至关重要。考虑种间和种内的性状变异有助于确定这些机制。最近,为研究植物对环境的反应,开发了一种涉及超体积(性状值的 n 维空间)计算的方法。通过超体积比较,我们研究了非生物条件年际变化对亚南极凯尔盖朗岛池塘水生植物群落的影响。由于水生植物群落适应寒冷和总体稳定的栖息地条件,而亚南极洲的气候正在迅速变化,因此该模型系统对研究气候变化相关栖息地变化的后果尤为重要。我们在三个地点进行了为期四年的实地取样。对于所有水生物种,我们测量了叶片、嫩枝和克隆的五个性状,这些性状描述了个体的生长策略,这些策略可能会对四年中 1565 株公羊的非生物条件变化做出反应。在调查期间,我们每三个月测量一次 10 个非生物变量,以确定植物栖息地的特征。我们计算了每个地点和年份的超体积,以评估群落水平上水生植物策略的变化。我们证明了:(i) 营养状况、温度、pH 值和溶解氧浓度的时空梯度对水生植物群落功能结构的重要性;(ii) 平均响应的形状与性状有关,与植物新陈代谢(特定叶面积和特定节间质量)和三维空间探索(高度和节间长度)有关的性状对三种时空非生物梯度做出响应;(iv) 鉴于群落对非生物条件年际变化的响应,环境变化应影响大型藻类群落的生产力。综述。我们的结论是,对四年内非生物量年际变化的研究足以发现大型藻类群落的快速反应,这可能依赖于表型的可塑性。我们的研究结果可为发现类似物种的亚南极地区水生植物群落未来功能变化的特征提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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