Suppr超能文献

全球变化对植物群落的影响随着时间的推移和施加的全球变化因素的数量而放大。

Global change effects on plant communities are magnified by time and the number of global change factors imposed.

机构信息

Smithsonian Environmental Research Center, Edgewater, MD 21037;

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218.

出版信息

Proc Natl Acad Sci U S A. 2019 Sep 3;116(36):17867-17873. doi: 10.1073/pnas.1819027116. Epub 2019 Aug 19.

Abstract

Global change drivers (GCDs) are expected to alter community structure and consequently, the services that ecosystems provide. Yet, few experimental investigations have examined effects of GCDs on plant community structure across multiple ecosystem types, and those that do exist present conflicting patterns. In an unprecedented global synthesis of over 100 experiments that manipulated factors linked to GCDs, we show that herbaceous plant community responses depend on experimental manipulation length and number of factors manipulated. We found that plant communities are fairly resistant to experimentally manipulated GCDs in the short term (<10 y). In contrast, long-term (≥10 y) experiments show increasing community divergence of treatments from control conditions. Surprisingly, these community responses occurred with similar frequency across the GCD types manipulated in our database. However, community responses were more common when 3 or more GCDs were simultaneously manipulated, suggesting the emergence of additive or synergistic effects of multiple drivers, particularly over long time periods. In half of the cases, GCD manipulations caused a difference in community composition without a corresponding species richness difference, indicating that species reordering or replacement is an important mechanism of community responses to GCDs and should be given greater consideration when examining consequences of GCDs for the biodiversity-ecosystem function relationship. Human activities are currently driving unparalleled global changes worldwide. Our analyses provide the most comprehensive evidence to date that these human activities may have widespread impacts on plant community composition globally, which will increase in frequency over time and be greater in areas where communities face multiple GCDs simultaneously.

摘要

全球变化驱动因素(GCDs)预计将改变群落结构,并因此改变生态系统提供的服务。然而,很少有实验研究调查了 GCDs 对跨多种生态系统类型的植物群落结构的影响,而且那些存在的研究结果呈现出相互矛盾的模式。在一项前所未有的、对 100 多项操纵与 GCDs 相关因素的实验进行的全球综合研究中,我们表明,草本植物群落的响应取决于实验操纵的长度和操纵的因素数量。我们发现,植物群落对短期(<10 年)内实验操纵的 GCDs 具有相当的抵抗力。相比之下,长期(≥10 年)实验显示,处理与对照条件之间的群落差异越来越大。令人惊讶的是,在我们的数据库中操纵的 GCD 类型中,这些群落响应以相似的频率发生。然而,当同时操纵 3 个或更多 GCD 时,群落响应更为常见,这表明多个驱动因素的累加或协同作用的出现,特别是在长时间内。在一半的情况下,GCD 操纵导致群落组成的差异,而没有相应的物种丰富度差异,这表明物种重新排序或替换是群落对 GCDs 响应的一个重要机制,在研究 GCDs 对生物多样性-生态系统功能关系的后果时,应该给予更多的考虑。人类活动正在全球范围内引发前所未有的全球变化。我们的分析提供了迄今为止最全面的证据,表明这些人类活动可能会对全球范围内的植物群落组成产生广泛影响,而且随着时间的推移,这种影响的频率将会增加,在同时面临多个 GCDs 的地区,这种影响将会更大。

相似文献

1
Global change effects on plant communities are magnified by time and the number of global change factors imposed.
Proc Natl Acad Sci U S A. 2019 Sep 3;116(36):17867-17873. doi: 10.1073/pnas.1819027116. Epub 2019 Aug 19.
2
4
Determinants of community compositional change are equally affected by global change.
Ecol Lett. 2021 Sep;24(9):1892-1904. doi: 10.1111/ele.13824. Epub 2021 Jun 25.
6
Global-change drivers of ecosystem functioning modulated by natural variability and saturating responses.
Glob Chang Biol. 2017 Feb;23(2):503-511. doi: 10.1111/gcb.13441. Epub 2016 Aug 12.
7
Ambient changes exceed treatment effects on plant species abundance in global change experiments.
Glob Chang Biol. 2018 Dec;24(12):5668-5679. doi: 10.1111/gcb.14442. Epub 2018 Oct 18.
9
Light and warming drive forest understorey community development in different environments.
Glob Chang Biol. 2020 Mar;26(3):1681-1696. doi: 10.1111/gcb.14955. Epub 2020 Jan 11.
10

引用本文的文献

1
Biodiversity-friendly landscapes: A paradox for conservation?
Sci Adv. 2025 Jul 25;11(30):eadt9564. doi: 10.1126/sciadv.adt9564. Epub 2025 Jul 23.
2
The increasing role of tree disease and decreasing influence of anthropogenic management over 50 years of woodland dynamics.
Proc Biol Sci. 2025 Jun;292(2048):20250554. doi: 10.1098/rspb.2025.0554. Epub 2025 Jun 11.
3
Concurrent anthropogenic stressors affect plant-soil systems with different plant diversity levels.
New Phytol. 2025 Aug;247(4):1897-1911. doi: 10.1111/nph.70275. Epub 2025 Jun 4.
5
Interactions among nutrients govern the global grassland biomass-precipitation relationship.
Proc Natl Acad Sci U S A. 2025 Apr 15;122(15):e2410748122. doi: 10.1073/pnas.2410748122. Epub 2025 Apr 11.
8
New York State Climate Impacts Assessment Chapter 05: Ecosystems.
Ann N Y Acad Sci. 2024 Dec;1542(1):253-340. doi: 10.1111/nyas.15203. Epub 2024 Dec 9.
10
Forest understory vegetation study: current status and future trends.
For Res (Fayettev). 2023 Mar 14;3:6. doi: 10.48130/FR-2023-0006. eCollection 2023.

本文引用的文献

1
Shifting plant species composition in response to climate change stabilizes grassland primary production.
Proc Natl Acad Sci U S A. 2018 Apr 17;115(16):4051-4056. doi: 10.1073/pnas.1700299114.
2
Species reordering, not changes in richness, drives long-term dynamics in grassland communities.
Ecol Lett. 2017 Dec;20(12):1556-1565. doi: 10.1111/ele.12864. Epub 2017 Oct 12.
3
Drought and biodiversity in Grasslands.
Oecologia. 1992 Feb;89(2):257-264. doi: 10.1007/BF00317226.
4
Estimates of local biodiversity change over time stand up to scrutiny.
Ecology. 2017 Feb;98(2):583-590. doi: 10.1002/ecy.1660. Epub 2017 Jan 9.
6
Addition of multiple limiting resources reduces grassland diversity.
Nature. 2016 Sep 1;537(7618):93-96. doi: 10.1038/nature19324. Epub 2016 Aug 24.
7
Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States.
Proc Natl Acad Sci U S A. 2016 Apr 12;113(15):4086-91. doi: 10.1073/pnas.1515241113. Epub 2016 Mar 28.
8
Global change and terrestrial plant community dynamics.
Proc Natl Acad Sci U S A. 2016 Apr 5;113(14):3725-34. doi: 10.1073/pnas.1519911113. Epub 2016 Feb 29.
9
Resource colimitation governs plant community responses to altered precipitation.
Proc Natl Acad Sci U S A. 2015 Oct 20;112(42):13009-14. doi: 10.1073/pnas.1508170112. Epub 2015 Oct 5.
10
Predicting communities from functional traits.
Trends Ecol Evol. 2015 Sep;30(9):510-1. doi: 10.1016/j.tree.2015.07.001. Epub 2015 Jul 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验