Answers are grounded in this paper and cite their sources.
Evaluates nutrient variations in river systems, highlighting critical drivers for management.
Understanding spatiotemporal riverine nutrient patterns and their drivers is essential for sustainable watershed management. However, within a single watershed, controls on long-term temporal dynamics and spatial heterogeneity remain unclear, particularly under nutrient legacy effects. This study couples a 44-year historical record of nutrient concentrations at the Yong’an outlet to examine long-term trends, alongside synchronous observations from 24 nested sub-watersheds in 2023 to characterize spatial variability. Multivariate analysis and change-point detection were employed to identify environmental drivers governing nutrient variability and quantitatively derive the critical thresholds. Overall, total nitrogen, total phosphorus, and ammonium declined substantially, whereas nitrate (NO 3 - -N) continued to increase under legacy effects. For long-term outlet dynamics, landscape composition, landscape configuration, hydroclimate, and anthropogenic pressures collectively explained 75% of nutrient concentration variations, with landscape configuration alone accounting for 28%. Spatial heterogeneity among sub-watersheds was explained by the same four driver groups (67%), with a notable 22% shared contribution from landscape composition and anthropogenic pressures. Agricultural land-use metrics exhibited divergent trajectories when comparing long-term trends at the basin outlet against spatial configurations across the sub-watersheds. Over the study period, cropland coverage decreased from 15.1% to 11.9%, while impervious surfaces increased from 1.0% to 3.4% and became increasingly aggregated. Temporal patterns were mainly shaped by watershed-scale landscape reorganization and legacy nutrient transport, especially for nitrate, whereas spatial patterns reflected sub-watershed source heterogeneity. Nitrate has become the dominant nutrient pollutant. Threshold analysis indicated that NO 3 - -N surge risk increased when impervious surface cover exceeded ∼3% and aggregation exceeded ∼80, while sub-watersheds with agricultural land proportion >10% should be prioritized for non-point source pollution control. These findings provide a quantitative basis for watershed management prioritization and threshold-based regulation.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: