Abstract

Plant pathogens are a major agent of disturbance in ecosystems worldwide. Disturbance by diseases which inhibit plant water uptake can alter the hydrological function of affected ecosystems. However, many plant pathogens are also sensitive to soil moisture and can be propagated by the transport of infectious tissue or reproductive structures in surface flow, so that hydrological processes can drive pathogen infection. These feed-forward and feed-back processes set up the possibility of complex ecohydrological dynamics relating plant disease and the water cycle. Here the generalist root pathogen Phytophthora cinnamomi (Pc) is used as a case study to examine the potential importance of hydrological dynamics on disease spread. A numerical model of Pc growth and dispersal is used to investigate the importance of Pc transport in intermittent surface runoff compared to more continuous rhizosphere Pc spread via diffusion-like hyphal growth. We apply and test this model at two well-studied sites of Pc infection with contrasting hydrology: a Banksia woodland in Western Australia where deep sandy soils inhibit surface runoff, and an Erica heathland in the Spanish Central Plateau where relatively shallow soils on steep slopes generate intermittent saturation excess overland flow. Predictions of Pc spatial spread at the Spanish site improve when Pc transport in runoff is incorporated into the model, while no such improvements arise at the Australian site. Omitting transport in overland flow from model predictions at the Spanish site results in an average under-prediction of final pathogen patch areas by 350 m2 for each year of growth between observations, highlighting the importance of surface hydrological transport to Pc growth and spread and need for further studies. Hydrological theories that predict the occurrence of overland flow based on soil, topographic, and climate properties can be used to better incorporate this transport pathway and the influence of local hydrological processes in existing Pc risk assessment methods.

Highlights

  • 38 Plant pathogens can affect forest composition, structure, and function, but the dynamics of these dis39 turbances are generally less well understood than those due to abiotic disturbances (Flower & Gonzalez40 Meler, 2015)

  • We extend the modeling framework to consider the spatial spread of Phytophthora cinnamomi (Pc) infection, in particular considering whether observed patterns of disease spread are consistent with the pathogen being spread in overland flow

  • In this work, we aim to investigate the potential for Pc transport in overland flow to have contributed to observed patterns of Pc disease

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Summary

Introduction

38 Plant pathogens can affect forest composition, structure, and function, but the dynamics of these dis turbances are generally less well understood than those due to abiotic disturbances (Flower & Gonzalez Meler, 2015). Because this potential transport mechanism has not been studied to date, we adopt an exploratory mod eling approach to test the hypothesis that pathogen transport via overland flow is required to explain observations of disease spread We compare this to a null hypothesis that spread is primarily attributable to non-hydrologic transport processes such as hyphal growth or root-root contact between infected and healthy plants within the soil. For this purpose, we model multiple potential transport pathways that could contribute to Pc spread around disease foci. We calibrate the model twice at each site, once including overland flow as a

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