根系和生物量分配特征可预测植物物种和群落在四十年全球变化中的变化。

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2024-09-09 DOI:10.1002/ecy.4389
Julie Messier, Antoine Becker-Scarpitta, Yuanzhi Li, Cyrille Violle, Mark Vellend
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引用次数: 0

摘要

全球变化正在影响地球上植物物种的分布和种群动态,导致植物物种分布向两极和高海拔地区转移等趋势。然而,我们对单个物种为何对气候变暖和其他环境变化做出不同反应,或群落的性状组成如何做出反应还知之甚少。在加拿大魁北克省的温带山地森林中,我们提出了两个关于植物物种和群落在 42 年全球变化过程中的变化的问题:(1)1970 年至 2010 年期间,该地区经历了 1.5°C 的升温和氮沉降的变化,在此期间,林下维管植物群落的性状组成、α多样性和β多样性发生了怎样的变化?(2)性状能否预测这一时期物种海拔和丰度的变化?对于 46 种林下维管束物种,我们在当地测量了六种地上性状,对于其中的 36 种(不包括灌木),我们还测量了五种地下性状。总的来说,它们捕捉到了与气候和资源龛位相关的表型变异的主要方面。在群落水平上,高海拔地块的性状组成发生了变化,主要是两种根系性状:比根长减小,根深增加。随着时间的推移,高海拔地块的平均性状值逐渐向最初与低海拔地块相关的值转变。这些变化导致不同海拔地区的性状趋于一致。群落水平的性状变化反映了该地点其他地方报告的分类学变化。在物种水平上,预测物种海拔和丰度变化的三个性状中有两个是地下性状(低菌根率和浅根)。这些发现凸显了根系性状的重要性,根系性状与叶片质量分数一起,与四十年来的分布和丰度变化有关。群落层面的性状变化在海拔梯度和时间梯度上基本相似。相反,在群落水平上,通常与低海拔相关的性状并不能预测不同物种在丰度或分布上的变化,这表明物种和群落水平的反应之间是脱钩的。总体而言,这些变化与气候变暖和氮供应增加的某些影响是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Root and biomass allocation traits predict changes in plant species and communities over four decades of global change

Root and biomass allocation traits predict changes in plant species and communities over four decades of global change

Global change is affecting the distribution and population dynamics of plant species across the planet, leading to trends such as shifts in distribution toward the poles and to higher elevations. Yet, we poorly understand why individual species respond differently to warming and other environmental changes, or how the trait composition of communities responds. Here we ask two questions regarding plant species and community changes over 42 years of global change in a temperate montane forest in Québec, Canada: (1) How did the trait composition, alpha diversity, and beta diversity of understory vascular plant communities change between 1970 and 2010, a period over which the region experienced 1.5°C of warming and changes in nitrogen deposition? (2) Can traits predict shifts in species elevation and abundance over this time period? For 46 understory vascular species, we locally measured six aboveground traits, and for 36 of those (not including shrubs), we also measured five belowground traits. Collectively, they capture leading dimensions of phenotypic variation that are associated with climatic and resource niches. At the community level, the trait composition of high-elevation plots shifted, primarily for two root traits: specific root length decreased and rooting depth increased. The mean trait values of high-elevation plots shifted over time toward values initially associated with low-elevation plots. These changes led to trait homogenization across elevations. The community-level shifts in traits mirrored the taxonomic shifts reported elsewhere for this site. At the species level, two of the three traits predicting changes in species elevation and abundance were belowground traits (low mycorrhizal fraction and shallow rooting). These findings highlight the importance of root traits, which, along with leaf mass fraction, were associated with shifts in distribution and abundance over four decades. Community-level trait changes were largely similar across the elevational and temporal gradients. In contrast, traits typically associated with lower elevations at the community level did not predict differences among species in their shift in abundance or distribution, indicating a decoupling between species- and community-level responses. Overall, changes were consistent with some influence of both climate warming and increased nitrogen availability.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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