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Abstract
Forecasting transitions between tidal ecosystem states, such as between bare tidal flats and vegetated marshes, is crucial because it may imply the irreversible loss of valuable ecosystem services. In this study, we combine geospatial analyses of three European estuaries with a simple numerical model to demonstrate that the development of micro-topographic patterning on tidal flats is an early indicator of marsh establishment. We first show that the development of micro-topographic patterns precedes vegetation establishment, and that patterns tend to form only on tidal flats with a slope of <0.3 degrees. Numerical modelling then provides an explanation for the formation of micro-topography due to the natural concentration of draining surface water over very gentle slopes. We find this early indicator to be robust across three estuaries where anthropogenic deepening and narrowing has occurred in recent decades, which may suggest its broader applicability to other estuaries with similar morphological management.
Transitions from bare tidal flats to vegetated marshes are an example of shift between alternative stable ecosystem states. Here, the authors use remote sensing and modelling to quantify three stages in tidal flat evolution and identify early warning signals.
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1 Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems, Yerseke, The Netherlands (GRID:grid.10914.3d) (ISNI:0000 0001 2227 4609); University of Groningen, Groningen Institute for Evolutionary Life Sciences, Community and Conservation Ecology Group, Groningen, The Netherlands (GRID:grid.4830.f) (ISNI:0000 0004 0407 1981)
2 University of Antwerp, Ecosystem Management Research Group, Antwerp, Belgium (GRID:grid.5284.b) (ISNI:0000 0001 0790 3681)
3 Utrecht University, Department of Physical Geography, Faculty of Geosciences, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234)
4 Federal Institute of Hydrology, Department of Vegetation Studies and Landscape Management, Koblenz, Germany (GRID:grid.425106.4) (ISNI:0000 0001 2294 3155)
5 University of Groningen, Groningen Institute for Evolutionary Life Sciences, Community and Conservation Ecology Group, Groningen, The Netherlands (GRID:grid.4830.f) (ISNI:0000 0004 0407 1981); Radboud University, Aquatic Ecology and Environmental Biology, Institute for Water and Wetland Research, Nijmegen, The Netherlands (GRID:grid.5590.9) (ISNI:0000000122931605); Royal Netherlands Institute for Sea Research, Department of Coastal Systems, Den Burg, The Netherlands (GRID:grid.10914.3d) (ISNI:0000 0001 2227 4609)
6 Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems, Yerseke, The Netherlands (GRID:grid.10914.3d) (ISNI:0000 0001 2227 4609); University of Groningen, Groningen Institute for Evolutionary Life Sciences, Community and Conservation Ecology Group, Groningen, The Netherlands (GRID:grid.4830.f) (ISNI:0000 0004 0407 1981); Utrecht University, Department of Physical Geography, Faculty of Geosciences, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000000120346234); HZ University of Applied Sciences, Delta Academy Applied Research Centre, Vlissingen, The Netherlands (GRID:grid.448873.4) (ISNI:0000 0004 0477 8901)