Ecosystem dynamics in dune heathlands: spatial and temporal effects of environmental drivers on the vegetation

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Abstract

Pin-point cover data from 81 Danish dune heathland sites collected over 16 years were analyzed to quantify the effects of key environmental drivers on vegetation dynamics. A spatio-temporal structural equation model within a Bayesian hierarchical framework was used to assess the influence of nitrogen deposition, soil pH, soil C–N ratio, soil type, precipitation, and grazing. The species composition at Danish dune heathlands is changing, and most regression parameters for environmental drivers were significantly different from zero, indicating strong regulatory effects on both large-scale spatial variation and temporal dynamics. Precipitation and soil pH emerged as the most influential factors, underscoring the role of hydrological and edaphic conditions in shaping the vegetation at dune heathlands. The model predicts plant community dynamics and can be applied to forecast the effect of different management scenarios, providing a basis for adaptive site-specific management planning.
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This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint. You must log in to post a comment. There are no comments or no comments have been made public for this article. This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint. Add a Comment You must log in to post a comment. Comments There are no comments or no comments have been made public for this article. Pin-point cover data from 81 Danish dune heathland sites collected over 16 years were analyzed to quantify the effects of key environmental drivers on vegetation dynamics. A spatio-temporal structural equation model within a Bayesian hierarchical framework was used to assess the influence of nitrogen deposition, soil pH, soil C–N ratio, soil type, precipitation, and grazing. The species composition at Danish dune heathlands is changing, and most regression parameters for environmental drivers were significantly different from zero, indicating strong regulatory effects on both large-scale spatial variation and temporal dynamics. Precipitation and soil pH emerged as the most influential factors, underscoring the role of hydrological and edaphic conditions in shaping the vegetation at dune heathlands. The model predicts plant community dynamics and can be applied to forecast the effect of different management scenarios, providing a basis for adaptive site-specific management planning. https://doi.org/10.32942/X2107K Life Sciences Plant community dynamics of dune heathlands, coastal dune ecosystems, spatial and temporal variation of plant cover;, hierarchical Bayesian models, pin-point cover data, structural equation modelling, ecological predictions, adaptive management plans Published: 2025-11-02 01:01 Last Updated: 2025-11-02 01:01 CC-By Attribution-NonCommercial-NoDerivatives 4.0 International Data and Code Availability Statement: Open data, code available at https://osf.io/ckhqy/overview Language: English

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