• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

水生植物能跟上气候变化的步伐吗?

Can Aquatic Plants Keep Pace with Climate Change?

作者信息

Viana Duarte S

机构信息

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

出版信息

Front Plant Sci. 2017 Nov 3;8:1906. doi: 10.3389/fpls.2017.01906. eCollection 2017.

DOI:10.3389/fpls.2017.01906
PMID:29209338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5701636/
Abstract

The persistence of species may depend upon their capacity to keep pace with climate change. However, dispersal has been ignored in the vast majority of studies that aimed at estimating and predicting range shifts as a response to climate change. Long distance dispersal (LDD) in particular might promote rapid range shifts and allow species to track suitable habitat. Many aquatic plant species are dispersed by birds and have the potential to be dispersed over hundreds of kilometers during the bird migration seasons. I argue that such dispersal potential might be critical to allow species to track climate change happening at unprecedented high rates. As a case study, I used dispersal data from three aquatic plant species dispersed by migratory birds to model range shifts in response to climate change projections. By comparing four dispersal scenarios - (1) no dispersal, (2) unlimited dispersal, (3) LDD < 100 km, and (4) LDD mediated by bird migratory movements -, it was shown that, for bird-mediated dispersal, the rate of colonization is sufficient to counterbalance the rate of habitat loss. The estimated rates of colonization (3.2-31.5 km⋅year) are higher than, for example, the rate of global warming (previously estimated at 0.42 km⋅year). Although further studies are needed, the results suggest that these aquatic plant species can adjust their ranges under a severe climate change scenario. Therefore, investigating the dispersal capacity of species, namely their LDD potential, may contribute to estimate the likelihood of species to keep pace with climate change.

摘要

物种的存续可能取决于它们跟上气候变化步伐的能力。然而,在绝大多数旨在估计和预测作为气候变化响应的分布范围变化的研究中,扩散一直被忽视。特别是长距离扩散(LDD)可能会促进分布范围的快速变化,并使物种能够追踪适宜的栖息地。许多水生植物物种通过鸟类扩散,并且有可能在鸟类迁徙季节扩散数百公里。我认为这种扩散潜力对于使物种能够追踪以前所未有的高速度发生的气候变化可能至关重要。作为一个案例研究,我使用了三种由候鸟扩散的水生植物物种的扩散数据,来模拟对气候变化预测的分布范围变化。通过比较四种扩散情景——(1)无扩散,(2)无限扩散,(3)长距离扩散<100公里,以及(4)由鸟类迁徙活动介导的长距离扩散——结果表明,对于鸟类介导的扩散,定殖速率足以抵消栖息地丧失的速率。估计的定殖速率(3.2 - 31.5公里·年)高于例如全球变暖的速率(先前估计为0.42公里·年)。尽管还需要进一步研究,但结果表明这些水生植物物种在严峻的气候变化情景下能够调整它们的分布范围。因此,研究物种的扩散能力,即它们的长距离扩散潜力,可能有助于估计物种跟上气候变化步伐的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/563f/5701636/581f0c299913/fpls-08-01906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/563f/5701636/581f0c299913/fpls-08-01906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/563f/5701636/581f0c299913/fpls-08-01906-g001.jpg

相似文献

1
Can Aquatic Plants Keep Pace with Climate Change?水生植物能跟上气候变化的步伐吗?
Front Plant Sci. 2017 Nov 3;8:1906. doi: 10.3389/fpls.2017.01906. eCollection 2017.
2
Migratory Birds as Global Dispersal Vectors.候鸟作为全球传播媒介
Trends Ecol Evol. 2016 Oct;31(10):763-775. doi: 10.1016/j.tree.2016.07.005. Epub 2016 Aug 6.
3
Allometric scaling of long-distance seed dispersal by migratory birds.鸟类长途迁徙传播种子的异速生长比例。
Am Nat. 2013 May;181(5):649-62. doi: 10.1086/670025. Epub 2013 Mar 15.
4
Limited potential for bird migration to disperse plants to cooler latitudes.鸟类迁徙传播植物至更凉爽纬度的潜力有限。
Nature. 2021 Jul;595(7865):75-79. doi: 10.1038/s41586-021-03665-2. Epub 2021 Jun 23.
5
Are plant species able to keep pace with the rapidly changing climate?植物物种能否跟上快速变化的气候?
PLoS One. 2013 Jul 24;8(7):e67909. doi: 10.1371/journal.pone.0067909. Print 2013.
6
The future distribution of river fish: The complex interplay of climate and land use changes, species dispersal and movement barriers.未来河流鱼类的分布:气候和土地利用变化、物种扩散和迁移障碍的复杂相互作用。
Glob Chang Biol. 2017 Nov;23(11):4970-4986. doi: 10.1111/gcb.13760. Epub 2017 Jun 9.
7
How disturbance, competition, and dispersal interact to prevent tree range boundaries from keeping pace with climate change.干扰、竞争和扩散如何相互作用,防止树木分布范围的边界跟不上气候变化。
Glob Chang Biol. 2018 Jan;24(1):e335-e351. doi: 10.1111/gcb.13847. Epub 2017 Oct 16.
8
Overseas seed dispersal by migratory birds.候鸟的海外种子传播
Proc Biol Sci. 2016 Jan 13;283(1822). doi: 10.1098/rspb.2015.2406.
9
Pushing the pace of tree species migration.加快树种迁移速度。
PLoS One. 2014 Aug 27;9(8):e105380. doi: 10.1371/journal.pone.0105380. eCollection 2014.
10
Projected changes in distributions of Australian tropical savanna birds under climate change using three dispersal scenarios.基于三种扩散情景预测气候变化下澳大利亚热带稀树草原鸟类分布的变化。
Ecol Evol. 2012 Apr;2(4):705-18. doi: 10.1002/ece3.197.

引用本文的文献

1
Trait-Based Selection of Seeds Ingested and Dispersed by North American Waterfowl.北美水鸟摄取和传播种子的基于性状的选择
Plants (Basel). 2025 Jun 26;14(13):1964. doi: 10.3390/plants14131964.
2
Functional Traits Drive Dispersal Interactions Between European Waterfowl and Seeds.功能性状驱动欧洲水鸟与种子之间的扩散相互作用。
Front Plant Sci. 2022 Jan 31;12:795288. doi: 10.3389/fpls.2021.795288. eCollection 2021.
3
Predicting range shifts of Ball. under future climate change.预测未来气候变化下球囊菌的分布范围变化。

本文引用的文献

1
Improving the forecast for biodiversity under climate change.改善气候变化下生物多样性的预测。
Science. 2016 Sep 9;353(6304). doi: 10.1126/science.aad8466.
2
Migratory Birds as Global Dispersal Vectors.候鸟作为全球传播媒介
Trends Ecol Evol. 2016 Oct;31(10):763-775. doi: 10.1016/j.tree.2016.07.005. Epub 2016 Aug 6.
3
Benchmarking novel approaches for modelling species range dynamics.对物种分布范围动态建模的新方法进行基准测试。
Ecol Evol. 2021 Aug 11;11(18):12779-12789. doi: 10.1002/ece3.8023. eCollection 2021 Sep.
4
Seed mass, hardness, and phylogeny explain the potential for endozoochory by granivorous waterbirds.种子质量、硬度和系统发育解释了食谷水鸟进行内寄生传播的可能性。
Ecol Evol. 2020 Jan 15;10(3):1413-1424. doi: 10.1002/ece3.5997. eCollection 2020 Feb.
Glob Chang Biol. 2016 Aug;22(8):2651-64. doi: 10.1111/gcb.13251. Epub 2016 May 9.
4
A global database of lake surface temperatures collected by in situ and satellite methods from 1985-2009.1985-2009 年利用原位和卫星方法收集的全球湖泊表面温度数据库。
Sci Data. 2015 Mar 17;2:150008. doi: 10.1038/sdata.2015.8. eCollection 2015.
5
Predicting species distributions for conservation decisions.为保护决策预测物种分布。
Ecol Lett. 2013 Dec;16(12):1424-35. doi: 10.1111/ele.12189. Epub 2013 Oct 17.
6
Tree migration-rates: narrowing the gap between inferred post-glacial rates and projected rates.树木迁移率:缩小推断的冰川后速率与预测速率之间的差距。
PLoS One. 2013 Aug 26;8(8):e71797. doi: 10.1371/journal.pone.0071797. eCollection 2013.
7
Will plant movements keep up with climate change?植物的运动能否跟上气候变化的步伐?
Trends Ecol Evol. 2013 Aug;28(8):482-8. doi: 10.1016/j.tree.2013.04.003. Epub 2013 May 28.
8
Allometric scaling of long-distance seed dispersal by migratory birds.鸟类长途迁徙传播种子的异速生长比例。
Am Nat. 2013 May;181(5):649-62. doi: 10.1086/670025. Epub 2013 Mar 15.
9
Long-distance dispersal: a framework for hypothesis testing.长距离扩散:假说检验的框架。
Trends Ecol Evol. 2012 Jan;27(1):47-56. doi: 10.1016/j.tree.2011.08.009. Epub 2011 Oct 17.
10
Rapid range shifts of species associated with high levels of climate warming.与气候变暖水平高相关的物种的快速分布范围变化。
Science. 2011 Aug 19;333(6045):1024-6. doi: 10.1126/science.1206432.