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预测预计的气候变暖对一种温带淡水鱼的种群水平影响。

Predicting population-level impacts of projected climate heating on a temperate freshwater fish.

作者信息

Mintram Kate S, Brown A Ross, Maynard Samuel K, Thorbek Pernille, Tyler Charles R

机构信息

Department of Computer Science, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK.

Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

出版信息

J Fish Biol. 2024 Dec;105(6):1715-1723. doi: 10.1111/jfb.15889. Epub 2024 Aug 28.

DOI:10.1111/jfb.15889
PMID:39193898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11650920/
Abstract

Climate heating has the potential to drive changes in ecosystems at multiple levels of biological organization. Temperature directly affects the inherent physiology of plants and animals, resulting in changes in rates of photosynthesis and respiration, and trophic interactions. Predicting temperature-dependent changes in physiological and trophic processes, however, is challenging because environmental conditions and ecosystem structure vary across biogeographical regions of the globe. To realistically predict the effects of projected climate heating on wildlife populations, mechanistic tools are required to incorporate the inherent physiological effects of temperature changes, as well as the associated effects on food availability within and across comparable ecosystems. Here we applied an agent-based bioenergetics model to explore the combined effects of projected temperature increases for 2100 (1.4, 2.7, and 4.4°C), and associated changes in prey availability, on three-spined stickleback (Gasterosteus aculeatus) populations representing latitudes 50, 55, and 60°N. Our results showed a decline in population density after a simulated 1.4°C temperature increase at 50°N. In all other modeled scenarios there was an increase (inflation) in population density and biomass (per unit area) with climate heating, and this inflation increased with increasing latitude. We conclude that agent-based bioenergetics models are valuable tools in discerning the impacts of climate change on wild fish populations, which play important roles in aquatic food webs.

摘要

气候变暖有可能在生物组织的多个层面推动生态系统发生变化。温度直接影响动植物的内在生理机能,导致光合作用和呼吸作用速率以及营养相互作用发生变化。然而,预测生理和营养过程中与温度相关的变化具有挑战性,因为全球生物地理区域的环境条件和生态系统结构各不相同。为了切实预测预计的气候变暖对野生动物种群的影响,需要有机制性工具来纳入温度变化的内在生理影响,以及对可比生态系统内部和之间食物供应的相关影响。在这里,我们应用了基于主体的生物能量学模型,来探究预计到2100年温度升高(1.4、2.7和4.4°C)以及猎物可获得性的相关变化,对代表北纬50°、55°和60°的三刺鱼(Gasterosteus aculeatus)种群的综合影响。我们的结果表明,在北纬50°模拟温度升高1.4°C后,种群密度下降。在所有其他模拟情景中,随着气候变暖,种群密度和生物量(单位面积)增加(膨胀),并且这种膨胀随着纬度的增加而增加。我们得出结论,基于主体的生物能量学模型是识别气候变化对野生鱼类种群影响的有价值工具,野生鱼类种群在水生食物网中发挥着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/c94343771ae9/JFB-105-1715-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/cd3dca12dd0b/JFB-105-1715-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/c2843db2b6e0/JFB-105-1715-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/7e241177cad8/JFB-105-1715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/c94343771ae9/JFB-105-1715-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/cd3dca12dd0b/JFB-105-1715-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/c2843db2b6e0/JFB-105-1715-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/7e241177cad8/JFB-105-1715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be91/11650920/c94343771ae9/JFB-105-1715-g003.jpg

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本文引用的文献

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Conserv Physiol. 2022 Jul 2;10(1):coac035. doi: 10.1093/conphys/coac035. eCollection 2022.
2
Threats of global warming to the world's freshwater fishes.全球变暖对世界淡水鱼类的威胁。
Nat Commun. 2021 Mar 15;12(1):1701. doi: 10.1038/s41467-021-21655-w.
3
Species better track climate warming in the oceans than on land.海洋物种比陆地物种更能追踪到气候变暖。
Nat Ecol Evol. 2020 Aug;4(8):1044-1059. doi: 10.1038/s41559-020-1198-2. Epub 2020 May 25.
4
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Aquat Toxicol. 2020 Jul;224:105483. doi: 10.1016/j.aquatox.2020.105483. Epub 2020 May 1.
5
Increase in environmental temperature affects exploratory behaviour, anxiety and social preference in Danio rerio.环境温度升高会影响斑马鱼的探索行为、焦虑和社交偏好。
Sci Rep. 2020 Mar 25;10(1):5385. doi: 10.1038/s41598-020-62331-1.
6
Adaptive responses of fishes to climate change: Feedback between physiology and behaviour.鱼类对气候变化的适应反应:生理学和行为之间的反馈。
Sci Total Environ. 2019 Nov 20;692:1242-1249. doi: 10.1016/j.scitotenv.2019.07.226. Epub 2019 Jul 21.
7
River Metabolism along a Latitudinal Gradient across Japan and in a global scale.沿日本和全球纬度梯度的河流代谢。
Sci Rep. 2019 Mar 20;9(1):4932. doi: 10.1038/s41598-019-41427-3.
8
Seasonal changes in light availability modify the temperature dependence of secondary production in an Arctic stream.光照可利用度的季节性变化会改变北极溪流中次级生产量对温度的依赖性。
Ecology. 2019 Jun;100(6):e02690. doi: 10.1002/ecy.2690. Epub 2019 Apr 30.
9
Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass throughout a river basin.四十年来不断变化的环境梯度改变了瓜达卢佩河整个流域内瓜达卢佩鲈的生态形态变异。
Ecol Evol. 2018 Jul 30;8(16):8508-8522. doi: 10.1002/ece3.4349. eCollection 2018 Aug.
10
Meta-analysis reveals lower genetic diversity in overfished populations.元分析揭示过度捕捞种群的遗传多样性较低。
Mol Ecol. 2014 Jan;23(1):29-39. doi: 10.1111/mec.12509. Epub 2013 Oct 25.