Nontarget Chemical Composition of Surface Waters May Reflect Ecosystem Processes More than Discrete Source Contributions
Nontarget Chemical Composition of Surface Waters May Reflect Ecosystem Processes More than Discrete Source Contributions
复制标题
地表水的非目标化学成分可能比离散源的贡献更能反映生态系统过程
DOI：
10.1021/acs.est.2c08540
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发表时间：
2023
影响因子：
11.4
通讯作者：
Jones, Gerrad D.
中科院分区：
文献类型：
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作者：
Shi, Cheng;Mahadwar, Gouri;Dávila-Santiago, Emmanuel;Bambakidis, Ted;Crump, Byron C.;Jones, Gerrad D.
我们调查了环境，景观和微生物因素，可以结构的时空变化的非目标化学成分的四个河流系统在俄勒冈州海岸山脉，美国。我们假设，在河水中的非目标化学成分将结构化的大尺度景观梯度在每个流域。相反，只有一个弱的关系之间存在的非目标化学成分和土地覆盖梯度。总体而言，微生物群落和环境变量对化学组成的影响几乎是景观的两倍，环境变量对化学组成的影响大部分是通过微生物群落介导的（即，环境影响微生物，微生物影响化学物质）。因此，我们发现很少有证据支持我们的假设，化学时空变异与大尺度景观梯度。相反，我们发现定性和定量的证据表明，这些河流的化学时空变化是由微生物和季节性水文过程的变化控制的。虽然离散化学源的贡献是不可否认的，但水化学无疑受到大规模连续源的影响。我们的研究结果表明，可以开发诊断化学签名来监测生态系统过程，否则这些过程具有挑战性或不可能用现有的现成传感器进行研究。
We investigated environmental, landscape, and microbial factors that could structure the spatiotemporal variability in the nontarget chemical composition of four riverine systems in the Oregon Coast Range, USA. We hypothesized that the nontarget chemical composition in river water would be structured by broad-scale landscape gradients in each watershed. Instead, only a weak relationship existed between the nontarget chemical composition and land cover gradients. Overall, the effects of microbial communities and environmental variables on chemical composition were nearly twice as large as those of the landscape, and much of the influence of environmental variables on the chemical composition was mediated through the microbial community (i.e., environment affects microbes, which affect chemicals). Therefore, we found little evidence to support our hypothesis that chemical spatiotemporal variability was related to broad-scale landscape gradients. Instead, we found qualitative and quantitative evidence to suggest that chemical spatiotemporal variability of these rivers is controlled by changes in microbial and seasonal hydrologic processes. While the contributions of discrete chemical sources are undeniable, water chemistry is undoubtedly impacted by broad-scale continuous sources. Our results suggest that diagnostic chemical signatures can be developed to monitor ecosystem processes, which are otherwise challenging or impossible to study with existing off-the-shelf sensors.