de la Casa J, Nogué S, De Cáceres M, Pla-Rabés S, Sardans J, Benavente M, Giralt S, Hernandez A, Raposeiro P M, Peñuelas J
Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Catalonia, Spain.
CREAF, Bellaterra (Cerdanyola del Vallès), Catalonia, Spain.
Ecol Indic. 2025 Jul;176:113630. doi: 10.1016/j.ecolind.2025.113630.
The elemental composition of ecosystems responds to environmental perturbations such as land-use change, offering valuable insights into the impacts of global change. This study applies trajectory analysis to two millennia of elemental composition (elementome), including carbon (C), nitrogen (N), and other geochemical elements records from five lakes in the Azores archipelago. By integrating multivariate elemental data, we aim to reconstruct past environmental shifts and understand long-term ecosystem dynamics in response to anthropogenic and non-anthropogenic impacts. We quantified elementome trajectory analysis metrics, such as elemental turnover, trajectory directionality, and trajectory speed, as ecological indicators to quantify the magnitude and graduality of island ecosystem disturbances. We also tracked elemental shifts over time using CONISS analysis and compared these shifts with previously published environmental reconstructions from the same lakes. Additionally, we analyzed and compared trajectory shapes across the lakes to identify patterns and differences. Our results indicate that the elementome trajectories primarily reflected changes in erosion rates, in-lake biological activity, and catchment dynamics, characterized by distinct patterns of climate variability, wildfires, and agropastoral activities. Trajectory shapes revealed different patterns across shallow and deeper lakes. Our findings demonstrate the utility of Elementome Trajectory Analysis for disentangling the complex interplay between natural and anthropogenic drivers of ecosystem change in island environments, providing a powerful new tool for paleoecological reconstructions and for monitoring changes at a catchment level.
生态系统的元素组成会对诸如土地利用变化等环境扰动做出响应,这为洞察全球变化的影响提供了宝贵的见解。本研究将轨迹分析应用于两千年的元素组成(元素组),包括来自亚速尔群岛五个湖泊的碳(C)、氮(N)和其他地球化学元素记录。通过整合多变量元素数据,我们旨在重建过去的环境变化,并了解长期生态系统动态如何响应人为和非人为影响。我们量化了元素组轨迹分析指标,如元素周转率、轨迹方向性和轨迹速度,将其作为生态指标来量化岛屿生态系统干扰的程度和渐进性。我们还使用CONISS分析追踪了元素随时间的变化,并将这些变化与之前发表的来自同一湖泊的环境重建结果进行了比较。此外,我们分析并比较了各湖泊的轨迹形状,以识别模式和差异。我们的结果表明,元素组轨迹主要反映了侵蚀速率、湖内生物活动和集水区动态的变化,其特征是气候变率、野火和农牧活动的独特模式。轨迹形状在浅水湖和深水湖之间呈现出不同的模式。我们的研究结果证明了元素组轨迹分析在解析岛屿环境中生态系统变化的自然和人为驱动因素之间复杂相互作用方面的效用,为古生态重建和流域层面的变化监测提供了一个强大的新工具。