Effective governance of industrial chain resilience (ICR) is crucial for urban sustainability, and the development of digital infrastructure provides actionable pathways to achieve this goal. However, limited attention has been paid to the influence of digitalization efforts on ICR. Utilizing panel data from 271 Chinese cities spanning 2009 to 2021, this study adopts the “Broadband China” strategy as a proxy and employs a staggered Difference-in-Differences model combined with machine learning algorithms to evaluate the impacts of digital infrastructure construction (DIC) on urban ICR. The results show that: (1) DIC significantly drives urban ICR. This conclusion shows strong reliability, as it is confirmed by extensive robustness checks. (2) Heterogeneity analysis indicates stronger effects of DIC on eastern cities, non-resource-based cities, and cities with high industrial agglomeration. The positive impact exhibits sustained growth in the eastern region yet gradual attenuation in the central region. (3) Mechanism analysis reveals that DIC improves ICR by bridging the digital divide, fostering digital human capital and elevating innovation quality. These findings provide critical insights for formulating policies to strengthen digital infrastructure development and enhance urban ICR.

Constructed wetlands (CWs) have been proven to effectively immobilize plastic particles. However, little is known about the differences in the impact of varying sized plastic particles on nitrous oxide (N₂O) release, as well as the intervention mechanisms in CWs. Here, we built a lab-scale wetland model and introduced plastic particles of macro-, micro-, and nano-size at 100 μg/L for 370 days. The results showed that plastic particles of all sizes reduced N₂O release in CWs, with the degrees being the strongest for the Nano group, followed by Micro and Macro groups. Meanwhile, ¹⁵N- and ¹⁸O-tracing experiment revealed that the ammoxidation process contributed the most N₂O production, followed by denitrification. While for every N₂O-releasing process, the contributing proportion of N₂O in nitrification-coupled denitrification were most significantly cut down under exposing to macro-sized plastics and had an obvious increase in nitrifier denitrification in all groups, respectively. Finally, we revealed the three mechanism pathways of N₂O release reduction with macro-, micro-, and nano-sized plastics by impacting carbon assimilation (RubisCO activity), ammonia oxidation (gene amo abundance and HAO activity), and N-ion transmembrane and reductase activities, respectively. Our findings thus provided novel insights into the potential effects of plastic particles in CWs as an eco-technology.

Ammonia-oxidizing microorganisms (AOMs, archaea (AOA) and bacteria (AOB)) are primarily responsible for the ammoxidation in constructed wetlands (CWs). However, little is known about evaluating the response of AOA and AOB to engineered nanomaterials (ENMs) and quantifying the shift of their contribution to ammoxidation. Herein, we operated a series of CWs exposing to silver nanoparticles (Ag-NPs), single-walled carbon nanotubes (SWCNTs), and polystyrene nano-sized plastics (PS-NPs) with the wastewater-accumulating concentration of ENMs for 180 days. The results showed that the abundance of AOA amoA gene in situ was far lower than that of AOB, while the abundance ratio of AOA to AOB increased by 15 folds after 180-day experiment. Using DNA stable isotope probing (DNA-SIP) experiment, we found that the active AOB microbiota varied substantially but the AOA was more stable across different groups. Furthermore, the co-occurrence analysis proved that ENMs stress increased the negative coexistence pattern of AOA and AOB; predictive functional profiling showed that the ENMs enhanced the functional advantage of AOA by inhibiting AOB (mainly hydroxylamine oxidation process). Finally, the contribution of AOA increased under exposing to SWCNTs (18.35%), PS-NPs (24.92%), and Ag-NPs (32.14%) compared with control group (0.03%) for 180 days. Despite this, AOB was still the primary executant of ammoxidation in CWs. Overall, in our study, the differences in activities and contributions of AOMs were quantified in CWs, and a significantly negative coexistence relationship between AOA and AOB was revealed when exposed to emerging nanomaterials.