A biophysical model for seedling establishment in mangrove forests

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

58 Downloads (Pure)

Abstract

Mangrove seedling establishment is crucial to the long-term development of mangrove forests. This study incorporates a process-based approach for seedling establishment in a process-based hydrodynamic model. The biophysical model is used to simulate seedling establishment in the
Firth of Thames estuary (New Zealand). The results are compared to a random seedling establishment approach that has been often-used in long-term mangrove forest development models. While small differences were observed in terms of the seaward extent of seedling establishment, larger differences were found for the patchiness and density of the establishing seedlings. The results of the process-based approach showed a more localized pattern of seedling
establishment, in line with field observations in the Firth of Thames. This pattern was opposed to the more spatially uniform establishment patterns predicted with the random establishment approach. These differences reveal that the implemented seedling establishment approach may affect long-term mangrove forest development models. Moreover, the process-based approach is more easily setup and calibrated with physical parameters that can be measured in the field.
Original languageEnglish
Title of host publicationProceedings of the Coastal Dynamics Conference 2021, 28 June-2 July 2021, Delft
Place of PublicationDelft
PublisherDelft University of Technology
Number of pages10
Publication statusPublished - 2021
EventCoastal Dynamics 2021: Zandmotor Monitoring - online, Delft, Netherlands
Duration: 28 Jun 20212 Jul 2021
Conference number: 8
https://www.coastaldynamics2021.nl/

Conference

ConferenceCoastal Dynamics 2021
Country/TerritoryNetherlands
CityDelft
Period28/06/212/07/21
Internet address

Fingerprint

Dive into the research topics of 'A biophysical model for seedling establishment in mangrove forests'. Together they form a unique fingerprint.

Cite this