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Quantifying Biodiversity: a Phylogenetic Perspective.量化生物多样性:系统发育视角
Conserv Biol. 2002 Feb;16(1):248-252. doi: 10.1046/j.1523-1739.2002.00503.x.
2
Species richness and the temporal stability of biomass production: a new analysis of recent biodiversity experiments.物种丰富度和生物量生产的时间稳定性:对近期生物多样性实验的新分析。
Am Nat. 2014 Jan;183(1):1-12. doi: 10.1086/673915. Epub 2013 Nov 12.
3
Phylogenetic diversity and the functioning of ecosystems.系统发育多样性与生态系统功能。
Ecol Lett. 2012 Jul;15(7):637-48. doi: 10.1111/j.1461-0248.2012.01795.x. Epub 2012 May 15.
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Ecophylogenetics: advances and perspectives.生态遗传学:进展与展望。
Biol Rev Camb Philos Soc. 2012 Nov;87(4):769-85. doi: 10.1111/j.1469-185X.2012.00224.x. Epub 2012 Mar 20.
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Phylogenetic relatedness as a tool in restoration ecology: a meta-analysis.系统发育关系在恢复生态学中的应用:一项荟萃分析。
Proc Biol Sci. 2012 May 7;279(1734):1761-7. doi: 10.1098/rspb.2011.2268. Epub 2011 Dec 7.
6
Functional and phylogenetic diversity as predictors of biodiversity--ecosystem-function relationships.功能多样性和系统发育多样性作为生物多样性——生态系统功能关系的预测因子。
Ecology. 2011 Aug;92(8):1573-81. doi: 10.1890/10-1245.1.
7
Phylogenetic limiting similarity and competitive exclusion.系统发育限制相似性和竞争排斥。
Ecol Lett. 2011 Aug;14(8):782-7. doi: 10.1111/j.1461-0248.2011.01644.x. Epub 2011 Jun 14.
8
The functional role of producer diversity in ecosystems.生产者多样性在生态系统中的功能作用。
Am J Bot. 2011 Mar;98(3):572-92. doi: 10.3732/ajb.1000364. Epub 2011 Mar 2.
9
Genotypic richness and dissimilarity opposingly affect ecosystem functioning.基因型丰富度和差异相反地影响生态系统功能。
Ecol Lett. 2011 Jun;14(6):537-45. doi: 10.1111/j.1461-0248.2011.01613.x. Epub 2011 Mar 24.
10
General stabilizing effects of plant diversity on grassland productivity through population asynchrony and overyielding.通过种群非同步和超产,植物多样性对草原生产力的普遍稳定效应。
Ecology. 2010 Aug;91(8):2213-20. doi: 10.1890/09-1162.1.

共同祖先通过改变竞争相互作用影响群落稳定性:来自使用淡水绿藻的实验室微宇宙实验的证据。

Shared ancestry influences community stability by altering competitive interactions: evidence from a laboratory microcosm experiment using freshwater green algae.

机构信息

School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109-1041, USA.

出版信息

Proc Biol Sci. 2013 Aug 14;280(1768):20131548. doi: 10.1098/rspb.2013.1548. Print 2013 Oct 7.

DOI:10.1098/rspb.2013.1548
PMID:23945692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3757983/
Abstract

The impact of biodiversity on the stability of ecological communities has been debated among biologists for more than a century. Recently summarized empirical evidence suggests that biodiversity tends to enhance the temporal stability of community-level properties such as biomass; however, the underlying mechanisms driving this relationship remain poorly understood. Here, we report the results of a microcosm study in which we used simplified systems of freshwater microalgae to explore how the phylogenetic relatedness of species influences the temporal stability of community biomass by altering the nature of their competitive interactions. We show that combinations of two species that are more evolutionarily divergent tend to have lower temporal stability of biomass. In part, this is due to negative 'selection effects' in which bicultures composed of distantly related species are more likely to contain strong competitors that achieve low biomass. In addition, bicultures of distantly related species had on average weaker competitive interactions, which reduced compensatory dynamics and decreased the stability of community biomass. Our results demonstrate that evolutionary history plays a key role in controlling the mechanisms, which give rise to diversity-stability relationships. As such, patterns of shared ancestry may help us predict the ecosystem-level consequences of biodiversity loss.

摘要

生物多样性对生态群落稳定性的影响在生物学家中已经争论了一个多世纪。最近的总结性实证证据表明,生物多样性往往会提高生物量等群落水平特性的时间稳定性;然而,驱动这种关系的潜在机制仍知之甚少。在这里,我们报告了一项微观宇宙研究的结果,在该研究中,我们使用简化的淡水微藻系统来探索物种的系统发育相关性如何通过改变其竞争相互作用的性质来影响群落生物量的时间稳定性。我们表明,进化上差异更大的两种物种的组合往往具有更低的生物量时间稳定性。部分原因是负“选择效应”,其中由远缘物种组成的双培养物更有可能包含实现低生物量的强竞争者。此外,远缘物种的双培养物平均具有较弱的竞争相互作用,这降低了补偿动态并降低了群落生物量的稳定性。我们的结果表明,进化历史在控制多样性-稳定性关系的机制中起着关键作用。因此,共同进化史的模式可能有助于我们预测生物多样性丧失对生态系统水平的影响。