• 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

理解生物时间在应对波动的气候驱动因素中的作用的框架。

A framework to understand the role of biological time in responses to fluctuating climate drivers.

机构信息

Biologische Anstalt Helgoland, Alfred-Wegener-Institut, Helmholtz-Zentrum Für Polar- Und Meeresforschung, 27498, Helgoland, Germany.

School of Ocean Sciences, Bangor University, Menai Bridge, LL59 5AB, UK.

出版信息

Sci Rep. 2022 Jun 21;12(1):10429. doi: 10.1038/s41598-022-13603-5.

DOI:10.1038/s41598-022-13603-5
PMID:35729311
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9213464/
Abstract

Understanding biological responses to environmental fluctuations (e.g. heatwaves) is a critical goal in ecology. Biological responses (e.g. survival) are usually measured with respect to different time reference frames, i.e. at specific chronological times (e.g. at specific dates) or biological times (e.g. at reproduction). Measuring responses on the biological frame is central to understand how environmental fluctuation modifies fitness and population persistence. We use a framework, based on partial differential equations (PDEs) to explore how responses to the time scale and magnitude of fluctuations in environmental variables (= drivers) depend on the choice of reference frame. The PDEs and simulations enabled us to identify different components, responsible for the phenological and eco-physiological effects of each driver on the response. The PDEs also highlight the conditions when the choice of reference frame affects the sensitivity of the response to a driver and the type of join effect of two drivers (additive or interactive) on the response. Experiments highlighted the importance of studying how environmental fluctuations affect biological time keeping mechanisms, to develop mechanistic models. Our main result, that the effect of the environmental fluctuations on the response depends on the scale used to measure time, applies to both field and laboratory conditions. In addition, our approach, applied to experimental conditions, can helps us quantify how biological time mediates the response of organisms to environmental fluctuations.

摘要

了解生物对环境波动(如热浪)的响应是生态学的一个关键目标。生物响应(如生存)通常根据不同的时间参照框架进行测量,即在特定的时间(如特定日期)或生物时间(如繁殖)。在生物框架上测量响应对于理解环境波动如何改变适应性和种群持久性至关重要。我们使用基于偏微分方程 (PDE) 的框架来探索对环境变量波动的时间尺度和幅度的响应如何取决于参考框架的选择。PDE 和模拟使我们能够确定不同的组成部分,这些组成部分负责每个驱动因素对响应的物候和生态生理效应。PDE 还突出了参考框架选择如何影响对驱动因素的响应的敏感性以及两个驱动因素(相加或交互)对响应的联合效应类型的条件。实验强调了研究环境波动如何影响生物时间保持机制以开发机制模型的重要性。我们的主要结果是,环境波动对响应的影响取决于用于测量时间的尺度,这适用于现场和实验室条件。此外,我们应用于实验条件的方法可以帮助我们量化生物时间如何调节生物体对环境波动的响应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/a4b20697970e/41598_2022_13603_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/e7776019289d/41598_2022_13603_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/3cd8931b81fd/41598_2022_13603_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/13cec470ad1f/41598_2022_13603_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/a4b20697970e/41598_2022_13603_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/e7776019289d/41598_2022_13603_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/3cd8931b81fd/41598_2022_13603_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/13cec470ad1f/41598_2022_13603_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2d/9213464/a4b20697970e/41598_2022_13603_Fig4_HTML.jpg

相似文献

1
A framework to understand the role of biological time in responses to fluctuating climate drivers.理解生物时间在应对波动的气候驱动因素中的作用的框架。
Sci Rep. 2022 Jun 21;12(1):10429. doi: 10.1038/s41598-022-13603-5.
2
Net effect of environmental fluctuations in multiple global-change drivers across the tree of life.多种全球变化驱动因素在生命之树上的环境波动的净效应。
Proc Natl Acad Sci U S A. 2022 Aug 9;119(32):e2205495119. doi: 10.1073/pnas.2205495119. Epub 2022 Aug 1.
3
Rate of environmental change across scales in ecology.生态学中不同尺度的环境变化速率。
Biol Rev Camb Philos Soc. 2020 Dec;95(6):1798-1811. doi: 10.1111/brv.12639. Epub 2020 Aug 5.
4
A state-space approach to understand responses of organisms, populations and communities to multiple environmental drivers.一种理解生物体、种群和群落对多种环境驱动因素响应的状态空间方法。
Commun Biol. 2021 Sep 30;4(1):1142. doi: 10.1038/s42003-021-02585-1.
5
Understanding Evolutionary Impacts of Seasonality: An Introduction to the Symposium.理解季节性的进化影响:研讨会介绍
Integr Comp Biol. 2017 Nov 1;57(5):921-933. doi: 10.1093/icb/icx122.
6
Biotic and anthropogenic forces rival climatic/abiotic factors in determining global plant population growth and fitness.生物和人为因素在决定全球植物种群的生长和适应性方面与气候/非生物因素相媲美。
Proc Natl Acad Sci U S A. 2020 Jan 14;117(2):1107-1112. doi: 10.1073/pnas.1918363117. Epub 2019 Dec 30.
7
Biological responses to environmental heterogeneity under future ocean conditions.未来海洋条件下环境异质性的生物响应。
Glob Chang Biol. 2016 Aug;22(8):2633-50. doi: 10.1111/gcb.13287. Epub 2016 Apr 25.
8
Game theory sheds new light on ecological responses to current climate change when phenology is historically mismatched.博弈论为当物候与历史时期不匹配时,生态学对当前气候变化的反应提供了新的视角。
Ecol Lett. 2012 Aug;15(8):881-8. doi: 10.1111/j.1461-0248.2012.01812.x. Epub 2012 Jun 8.
9
Shifts in the relative fitness contributions of fecundity and survival in variable and changing environments.在多变和不断变化的环境中,生育力和存活率的相对适应度贡献发生变化。
J Exp Biol. 2021 Feb 24;224(Pt Suppl 1):jeb228031. doi: 10.1242/jeb.228031.
10
Life history adaptations to fluctuating environments: Combined effects of demographic buffering and lability.生命史对波动环境的适应:人口缓冲和不稳定性的综合影响。
Ecol Lett. 2022 Oct;25(10):2107-2119. doi: 10.1111/ele.14071. Epub 2022 Aug 20.

引用本文的文献

1
Leveraging altered lipid metabolism in treating B cell malignancies.利用改变的脂质代谢治疗 B 细胞恶性肿瘤。
Prog Lipid Res. 2024 Jul;95:101288. doi: 10.1016/j.plipres.2024.101288. Epub 2024 Jul 2.

本文引用的文献

1
The Temporal Dynamics of Multiple Stressor Effects: From Individuals to Ecosystems.多重胁迫效应的时间动态:从个体到生态系统。
Trends Ecol Evol. 2021 May;36(5):402-410. doi: 10.1016/j.tree.2021.01.005. Epub 2021 Feb 11.
2
The evolution of developmental thresholds and reaction norms for age and size at maturity.发育门槛和成熟时年龄与体型的反应规范的演变。
Proc Natl Acad Sci U S A. 2021 Feb 16;118(7). doi: 10.1073/pnas.2017185118.
3
Life in fluctuating environments.波动环境中的生命。
Philos Trans R Soc Lond B Biol Sci. 2020 Dec 21;375(1814):20190454. doi: 10.1098/rstb.2019.0454. Epub 2020 Nov 2.
4
Towards a unified study of multiple stressors: divisions and common goals across research disciplines.迈向多压力因素研究的统一:不同研究学科的分歧与共同目标。
Proc Biol Sci. 2020 May 13;287(1926):20200421. doi: 10.1098/rspb.2020.0421. Epub 2020 May 6.
5
Ecological change in dynamic environments: Accounting for temporal environmental variability in studies of ocean change biology.动态环境中的生态变化:在海洋变化生物学研究中考虑时间环境变异性。
Glob Chang Biol. 2020 Jan;26(1):54-67. doi: 10.1111/gcb.14868. Epub 2019 Nov 19.
6
Performance in a variable world: using Jensen's inequality to scale up from individuals to populations.变化世界中的表现:利用詹森不等式从个体扩展到群体。
Conserv Physiol. 2019 Sep 4;7(1):coz053. doi: 10.1093/conphys/coz053. eCollection 2019.
7
The complex drivers of thermal acclimation and breadth in ectotherms.变温动物热适应和宽温性的复杂驱动因素。
Ecol Lett. 2018 Sep;21(9):1425-1439. doi: 10.1111/ele.13107. Epub 2018 Jul 16.
8
Community- and ecosystem-level effects of multiple environmental change drivers: Beyond null model testing.多环境变化驱动因素对群落和生态系统水平的影响:超越零模型检验。
Glob Chang Biol. 2018 Nov;24(11):5021-5030. doi: 10.1111/gcb.14382. Epub 2018 Sep 2.
9
Experimental strategies to assess the biological ramifications of multiple drivers of global ocean change-A review.评估全球海洋变化多种驱动因素的生物学影响的实验策略综述。
Glob Chang Biol. 2018 Jun;24(6):2239-2261. doi: 10.1111/gcb.14102. Epub 2018 Mar 31.
10
Transgenerational plasticity and climate change experiments: Where do we go from here?跨代可塑性与气候变化实验:我们的前路在何方?
Glob Chang Biol. 2018 Jan;24(1):13-34. doi: 10.1111/gcb.13903. Epub 2017 Oct 12.