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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.

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/cd3dca12dd0b/JFB-105-1715-g004.jpg

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