Rezeption der Vegetationszonierung von Mangroven zur simultanen Deduktion der Aquiferstruktur sowie zur Weiterentwicklung von Konzepten der unterirdischen Konkurrenz von Pflanzen bei individuenbasierter Modellierung - MARZIPAN
Zusammenfassung der Projektergebnisse
Due to the wide range of provided ecosystem services of mangroves, their conservation, maintenance, and restoration is of major public interest. The distribution of species and plant growth forms in mangrove ecosystems is patterned in zones. The characteristics of these zonation patterns can provide evidence on ecosystem properties. There is ongoing discussion on the drivers leading to mangrove zonation. No full mechanistic explanation to understand the complete interaction of the multiple factors that determine the mangrove zonation patterns exists. Therefore, the underlying processes require deeper evaluation. This will help to better design mangrove conservation projects, and allow more reliable projections of ecosystem development in a changing climate. Numerical and conceptual modelling facilitates the understanding of system dynamics. In this project, the process- and individual-based mangrove population dynamics model MANGA was developed. The mechanistic modelling approach is based on first principles. With the full coupling between a groundwater flow model and an individual-based mangrove growth model, MANGA provides a novel approach to study mangrove ecosystem dynamics. MANGA describes observed mangrove stand zonation in species distribution and plant growth forms as the consequence of the apparent site conditions such as hydrologic conductivity, porewater salinity distribution and the tidal regime. Model parameterization does not only depend on empirical evidence. Knowledge on the underlying processes can also be used for model calibration. Varying model boundary conditions and parameters provides insights to the influence of a variety of abiotic drivers on mangrove zonation. The MANGA model is capable to simulate the reaction of mangrove ecosystem to variations of environmental conditions related to climate change. According to MANGA simulations, for example, mangrove species composition depends on freshwater inputs which alter with varying precipitation regimes.
Projektbezogene Publikationen (Auswahl)
- (2020). The interplay between vegetation and water in mangroves: new perspectives for mangrove stand modelling and ecological research. Wetlands Ecology and Management
Peters, R., Walther, M., Lovelock, C., Jiang, J., and Berger, U.
(Siehe online unter https://doi.org/10.1007/s11273-020-09733-0) - (2020). The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles. Ecological Modelling, 420:108973
Bathmann, J., Peters, R., Naumov, D., Fischer, T., Berger, U., and Walther, M.
(Siehe online unter https://doi.org/10.1016/j.ecolmodel.2020.108973) - (2021). Flows form forests the mangrove groundwater feedback model MANGA. Dresden
Bathmann, Jasper, Kolditz, O., Berger, U., Grimm, V., and Krauss, K.
- (2021). Modelling mangrove forest structure and species composition over tidal inundation gradients: The feedback between plant water use and porewater salinity in an arid mangrove ecosystem. Agricultural and Forest Meteorology, 308-309:108547
Bathmann, J., Peters, R., Reef, R., Berger, U., Walther, M., and Lovelock, C. E.
(Siehe online unter https://doi.org/10.1016/j.agrformet.2021.108547) - (2021). Partial canopy loss of mangrove trees: Mitigating water scarcity by physical adaptation and feedback on porewater salinity. Estuarine, Coastal and Shelf Science, page 106797
Peters, R., Lovelock, C., López-Portillo, J., Bathmann, J., Wimmler, M. C., Jiang, J., Walther, M., and Berger, U.
(Siehe online unter https://doi.org/10.1016/j.ecss.2020.106797) - (2021). Plant–soil feedbacks in mangrove ecosystems: establishing links between empirical and modelling studies. Trees
Wimmler, M.-C., Bathmann, J., Peters, R., Jiang, J., Walther, M., Lovelock, C. E., and Berger, U.
(Siehe online unter https://doi.org/10.1007/s00468-021-02182-z)
