Journal article

Mechanistic modeling indicates rapid glyphosate dissipation and sorption‐driven persistence of its metabolite AMPA in soil

Abstract

Residual concentrations of glyphosate and its main transformation product aminomethylphosphonic acid (AMPA) are often observed in soils. The factors controlling their biodegradation are currently not well understood. We analyzed sorption¬タミlimited biodegradation of glyphosate and AMPA in soil with a set of microcosm experiments. A mechanistic model that accounts for equilibrium and kinetic sorption facilitated interpretation of the experimental results. Both compounds showed a biphasic dissipation with an initial fast (up to Days 7¬タモ10) and subsequent slower transformation rate, pointing to sorption¬タミlimited degradation. Glyphosate transformation was well described by considering only equilibrium sorption. Model simulations suggested that only 0.02¬タモ0.13% of total glyphosate was present in the soil solution and thus bioavailable. Glyphosate transformation was rapid in solution (time required for 50 % dissipation of the total initially added chemical [DT50]ᅡᅠ=ᅡᅠ3.9ᅡᅠmin), and, despite strong equilibrium sorption, total glyphosate in soil dissipated quickly (DT50ᅡᅠ=ᅡᅠ2.4ᅡᅠd). Aminomethylphosphonic acid dissipation kinetics could only be described when considering both equilibrium and kinetic sorption. In comparison to glyphosate, the model simulations showed that a higher proportion of total AMPA was dissolved and directly bioavailable (0.27¬タモ3.32%), but biodegradation of dissolved AMPA was slower (DT50ᅡᅠ=ᅡᅠ1.9ᅡᅠh). The model¬タミbased data interpretation suggests that kinetic sorption strongly reduces AMPA bioavailability, leading to increased AMPA persistence in soil (DT50ᅡᅠ=ᅡᅠ12ᅡᅠd). Thus, strong sorption combined with rapid degradation points to low risks of glyphosate leaching by vertical transport through soil in the absence of preferential flow. Ecotoxicological effects on soil microorganisms might be reduced. In contrast, AMPA persists, rendering these risks more likely.

Temporal

Created: 2022-11-24
Updated: 2026-08-07T16:14:15Z
Temporal extent: date

License: Open Access

Language: Unknown
Updated: 2026-08-07