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.
Full text
1,952 characters
· extracted from
oa-doi-fallback
· click to expand
This is a Preprint and has not been peer reviewed.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This is a Preprint and has not been peer reviewed.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
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.