Stegen James C, Garayburu-Caruso Vanessa A, Danczak Robert E, Chu Rosalie K, Goldman Amy E, McKever Sophia, Renteria Lupita, Toyoda Jason
Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
School of the Environment, Washington State University, Pullman, WA, USA.
Sci Rep. 2025 Feb 5;15(1):4332. doi: 10.1038/s41598-024-76675-5.
Dissolved organic matter (DOM) is vital to ecosystem functions, influencing nutrient cycles and water quality. Understanding the processes driving DOM chemistry variation remains a challenge. By examining these processes through a community ecology perspective, we aim to understand the balance between stochastic forces (e.g., random mixing of DOM) and deterministic forces (e.g., systematic loss of certain types of DOM molecules) shaping DOM chemistry. Previous research on stochastic and deterministic influences over DOM chemistry applied null models to aquatic environments and subsurface pore water. Our study extends this to variably inundated riverbed sediments, which are widespread globally. We studied 38 river reaches across biomes, finding that DOM chemistry within most sites was governed by deterministic processes that were highly localized and led to spatial divergence in DOM chemistry within each reach. The degree of determinism varied substantially across reaches and we hypothesized this was related to differences in sediment moisture. Our findings partially supported this, showing that the upper limit of determinism decreased with increasing sediment moisture. We integrated our results with previous studies to develop a post-hoc conceptual model proposing that DOM assemblages become more deterministic along the continuum from river water to saturated sediment pore spaces to drier sediments or soils. This conceptual model aligns with previous work linking DOM chemistry to the Damköhler number and hydrologic connectivity, suggesting generalizable patterns and processes that can be further revealed by quantifying the stochastic-deterministic balance through space, time, and across scales.
溶解有机物(DOM)对生态系统功能至关重要,影响着养分循环和水质。了解驱动DOM化学变化的过程仍然是一项挑战。通过从群落生态学角度审视这些过程,我们旨在理解塑造DOM化学的随机力(例如,DOM的随机混合)和确定性力(例如,某些类型DOM分子的系统性损失)之间的平衡。先前关于随机和确定性对DOM化学影响的研究将零模型应用于水生环境和地下孔隙水。我们的研究将此扩展到全球广泛分布的可变淹没河床沉积物。我们研究了跨生物群落的38个河段,发现大多数站点内的DOM化学受高度局部化的确定性过程控制,这导致每个河段内DOM化学的空间差异。确定性程度在不同河段之间差异很大,我们推测这与沉积物湿度的差异有关。我们的研究结果部分支持了这一点,表明确定性的上限随着沉积物湿度的增加而降低。我们将我们的结果与先前的研究相结合,以建立一个事后概念模型,提出DOM组合沿着从河水到饱和沉积物孔隙空间再到更干燥的沉积物或土壤的连续体变得更具确定性。这个概念模型与先前将DOM化学与达姆科勒数和水文连通性联系起来的工作一致,表明通过在空间、时间和跨尺度上量化随机 - 确定性平衡可以进一步揭示的可推广模式和过程。