Suppr超能文献

气候变化速度与山地湖泊景观的脆弱性

Velocity of Climate Change and the Vulnerability of Mountain Lake Landscapes.

作者信息

Parisek Christine A, Walter Jonathan A, Sadro Steve, Rypel Andrew L

机构信息

Department of Wildlife, Fish, & Conservation Biology, University of California Davis, Davis, California 95616, United States.

Center for Watershed Sciences, University of California Davis, Davis, California 95616, United States.

出版信息

Environ Sci Technol. 2025 Aug 26;59(33):17507-17520. doi: 10.1021/acs.est.5c03154. Epub 2025 Aug 15.

Abstract

Freshwater ecosystems in mountain landscapes are threatened by climate change. Accumulated heat can result in lethal short-term heat exposure, while velocity of change governs severity and rates of long-term heat exposure. Here, we novelly integrate heat accumulation and velocity of change approaches to classify climate-vulnerable USA mountain watersheds. We combine watershed position and air temperature data to calculate degree-days. We then calculate the current velocity of this change and used discriminant function analyses to classify watershed vulnerability through 2100. Our results demonstrate how rates of heat accumulation are increasing across mountain landscapes. We estimate 19% of watersheds are at greatest vulnerability to accumulated heat, and this will increase to 33% by 2100. Further, mean killing degree days (i.e., region-specific mean number of days above 90th temperature percentile) are projected to increase 215-254% (mean = 236%) over this same time frame. Together, results indicate heat accumulation will increase substantially over the next 75 years; changes are projected to be most severe in lower elevation landscapes and those with greatest historical velocity of change. These changes will likely restructure species' distributions. Decision-makers can use these classifications to better understand landscapes, species' needs, and ecosystem services, thereby enabling effective allocation of conservation resources.

摘要

山区景观中的淡水生态系统正受到气候变化的威胁。热量积累可能导致短期致命的热暴露,而变化速度则决定了长期热暴露的严重程度和速率。在此,我们创新性地整合了热量积累和变化速度方法,对美国气候脆弱的山区流域进行分类。我们结合流域位置和气温数据来计算度日数。然后,我们计算这种变化的当前速度,并使用判别函数分析来对到2100年的流域脆弱性进行分类。我们的结果表明了山区景观中热量积累的速率是如何增加的。我们估计19%的流域对热量积累最为脆弱,到2100年这一比例将增至33%。此外,预计在同一时间框架内,平均致死度日数(即特定区域高于第90百分位温度的平均天数)将增加215 - 254%(平均 = 236%)。总体而言,结果表明在未来75年里热量积累将大幅增加;预计海拔较低的景观以及历史变化速度最快的景观变化最为严重。这些变化可能会重塑物种分布。决策者可以利用这些分类来更好地了解景观、物种需求和生态系统服务,从而有效地分配保护资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/592b/12404182/94b5aa402e7d/es5c03154_0001.jpg

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