bioRxivEcologyPreprint
The Primacy of Temporal Dynamics in Driving Spatial Self-organization of Soil Redox Patterns
Abstract
In this study, we investigate mechanisms that generate regularly-spaced, iron banding in upland soils. These redoximorphic features appear in soils worldwide, but their genesis has been heretofore unresolved. Upland soils are highly redox dynamic, with significant redox fluctuations driven by rainfall, groundwater changes, or irrigation. Pattern formation in these highly dynamic systems provides an opportunity to investigate the temporal dimension of spatial self-organization, which is not often explored. By comparing multiple alternative mechanisms, we find that regular redox patterns in upland soils are formed by coupling two sets of scale-dependent feedbacks (SDF), the general framework underlying Turing instability. The first set of SDF is based on clay aggregation and disaggregation. The second set is realized by threshold-dependent, negative root responses to aggregated crystalline Fe(III). The former SDF amplifies Fe(III) aggregation and crystallinity to trigger the latter SDF. Neither set of SDF alone is sufficient to reproduce observed patterns. Redox oscillations driven by environmental variability play an indispensable role in pattern formation. Environmental variability creates a range of conditions at the same site for various processes in SDF to occur, albeit in different temporal windows of differing durations. In effect, environmental variability determines mean rates of pattern-forming processes over the timescale relevant to pattern formation and modifies the likelihood that pattern formation will occur. As such, projected climate change might significantly alter many self-organized systems, as well as the ecological consequences associated with the striking patterns they present. This temporal dimension of pattern formation is previously unreported and merits close attention. Statement of SignificanceIron reactions create redox features in soils around the world. This study investigates mechanisms forming regularly-spaced iron stripes in upland soils. Upland soil redox conditions, driven by environmental variability, are highly dynamic. We show that two sets of scale-dependent feedbacks are coupled to form redox patterns and environmental variability plays a critical role in both. Significantly, environmental variability creates opportunities for various pattern-forming processes to occur at the same site in different temporal windows and determines mean process rates over the timescale relevant to pattern formation. Hence, environmental variability dictates the likelihood of pattern formation. Such a critical role of the temporal dimension in spatial self-organization has rarely been reported and has great potential for application in other self-organized ecosystems.
- research focus: development & morphogenesis
- research focus: ecology & biodiversity
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Redox fluctuations control the coupled cycling of iron and carbon in tropical forest soils
A. Bhattacharyya, A. N. Campbell, … J. Pett-Ridge·bioRxiv·May 1, 2018
- Microbial communities in tropical soils are highly resilient to fluctuating redox conditions
Ashley N. Campbell, Ikaia Leleiwi, … Jennifer Pett‐Ridge·bioRxiv·Jul 28, 2026
- Remotely-sensed slowing down in spatially patterned dryland ecosystems
M. P. Veldhuis, R. Martinez-Garcia, … V. Dakos·bioRxiv·Sep 27, 2021
- Spatial and temporal scale-dependent feedbacks govern dynamics of biocrusts in drylands
Jingyao Sun, Kailiang Yu, … Xinrong Li·Proceedings of the National Academy of SciencesPeer-reviewed·Jul 21, 2025
- Mud, microbes, and macrofauna: seasonal dynamics of the iron biogeochemical cycle in an intertidal mudflat
J. P. Beam, S. George, … D. Emerson·Frontiers in Marine SciencePeer-reviewed·Nov 16, 2020
- Self-organized pattern formation increases functional diversity
J. Huelsemann, T. Klauschies, C. Guill·bioRxiv·Sep 27, 2020