{"title":"在千年尺度的气候变化中,高海拔湖泊营养水平的不同步维持了群落的稳定","authors":"Yi Li , Hanxiao Zhang , Shouliang Huo","doi":"10.1016/j.jglr.2025.102657","DOIUrl":null,"url":null,"abstract":"<div><div>This study provides new insights into how climate change affects long-term ecosystem stability in high-altitude lakes, which are particularly vulnerable due to their simplified food webs and heightened environmental sensitivity. Despite their ecological importance, the long-term mechanisms through which multitrophic interactions govern ecosystem stability in these fragile systems remain poorly understood. In this study, we reconstruct over 1200 years of community succession in Lake Ngoring on the Qinghai–Tibet Plateau using sedimentary eDNA to elucidate these dynamics. Multivariate analyses revealed temperature as the dominant driver of community turnover (Mantel r = 0.58, <em>P</em> < 0.001), with warm periods fostering enhanced mutualistic networks between algae and decomposers. Network topology metrics demonstrated that while warming reduced overall cross-trophic interaction strength, it maintained robust cooperative linkages within trophic levels. Structural equation modeling further showed that climate-mediated species interactions significantly influenced ecosystem stability (path coefficient = 0.35), with intratrophic asynchrony emerging as a critical stabilizing mechanism (path coefficient = 0.20) that buffers climate impacts. Our findings provide novel insights into the resilience of high-altitude lake ecosystems, emphasizing the fundamental role of within-trophic-level dynamics in maintaining long-term ecological stability under climate change.</div></div>","PeriodicalId":54818,"journal":{"name":"Journal of Great Lakes Research","volume":"51 5","pages":"Article 102657"},"PeriodicalIF":2.5000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asynchrony within trophic levels maintains community stability over millennial-scale climate changes in a high-altitude lake\",\"authors\":\"Yi Li , Hanxiao Zhang , Shouliang Huo\",\"doi\":\"10.1016/j.jglr.2025.102657\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study provides new insights into how climate change affects long-term ecosystem stability in high-altitude lakes, which are particularly vulnerable due to their simplified food webs and heightened environmental sensitivity. Despite their ecological importance, the long-term mechanisms through which multitrophic interactions govern ecosystem stability in these fragile systems remain poorly understood. In this study, we reconstruct over 1200 years of community succession in Lake Ngoring on the Qinghai–Tibet Plateau using sedimentary eDNA to elucidate these dynamics. Multivariate analyses revealed temperature as the dominant driver of community turnover (Mantel r = 0.58, <em>P</em> < 0.001), with warm periods fostering enhanced mutualistic networks between algae and decomposers. Network topology metrics demonstrated that while warming reduced overall cross-trophic interaction strength, it maintained robust cooperative linkages within trophic levels. Structural equation modeling further showed that climate-mediated species interactions significantly influenced ecosystem stability (path coefficient = 0.35), with intratrophic asynchrony emerging as a critical stabilizing mechanism (path coefficient = 0.20) that buffers climate impacts. Our findings provide novel insights into the resilience of high-altitude lake ecosystems, emphasizing the fundamental role of within-trophic-level dynamics in maintaining long-term ecological stability under climate change.</div></div>\",\"PeriodicalId\":54818,\"journal\":{\"name\":\"Journal of Great Lakes Research\",\"volume\":\"51 5\",\"pages\":\"Article 102657\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Great Lakes Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0380133025001510\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Great Lakes Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0380133025001510","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
这项研究为气候变化如何影响高海拔湖泊的长期生态系统稳定性提供了新的见解,这些湖泊由于其简化的食物网和高度的环境敏感性而特别脆弱。尽管它们具有重要的生态意义,但在这些脆弱的系统中,多营养相互作用控制生态系统稳定性的长期机制仍然知之甚少。多变量分析显示,温度是群落更替的主要驱动因素(Mantel r = 0.58, P < 0.001),温暖时期促进了藻类和分解者之间的互惠网络的增强。网络拓扑指标表明,虽然变暖降低了整体的跨营养相互作用强度,但在营养水平上保持了强大的合作联系。结构方程模型进一步表明,气候介导的物种相互作用显著影响生态系统的稳定性(通径系数= 0.35),而萎缩内非同步是缓冲气候影响的关键稳定机制(通径系数= 0.20)。我们的研究结果为高海拔湖泊生态系统的恢复力提供了新的见解,强调了在气候变化下维持长期生态稳定的营养水平动态的基本作用。
Asynchrony within trophic levels maintains community stability over millennial-scale climate changes in a high-altitude lake
This study provides new insights into how climate change affects long-term ecosystem stability in high-altitude lakes, which are particularly vulnerable due to their simplified food webs and heightened environmental sensitivity. Despite their ecological importance, the long-term mechanisms through which multitrophic interactions govern ecosystem stability in these fragile systems remain poorly understood. In this study, we reconstruct over 1200 years of community succession in Lake Ngoring on the Qinghai–Tibet Plateau using sedimentary eDNA to elucidate these dynamics. Multivariate analyses revealed temperature as the dominant driver of community turnover (Mantel r = 0.58, P < 0.001), with warm periods fostering enhanced mutualistic networks between algae and decomposers. Network topology metrics demonstrated that while warming reduced overall cross-trophic interaction strength, it maintained robust cooperative linkages within trophic levels. Structural equation modeling further showed that climate-mediated species interactions significantly influenced ecosystem stability (path coefficient = 0.35), with intratrophic asynchrony emerging as a critical stabilizing mechanism (path coefficient = 0.20) that buffers climate impacts. Our findings provide novel insights into the resilience of high-altitude lake ecosystems, emphasizing the fundamental role of within-trophic-level dynamics in maintaining long-term ecological stability under climate change.
期刊介绍:
Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.