Water level data in mangrove forests and mangrove restoration sites in SE Asia

  • B. te Brake (Creator)
  • M.H.J. van Huijgevoort (Creator)
  • Roel Dijksma (Creator)

Dataset

Description

Mangrove restoration projects, aimed at restoring important values of mangrove forests after degradation, often fail because hydrological conditions are disregarded. We present a simple, but robust methodology to determine hydrological suitability for mangrove species, which can guide restoration practice. In 15 natural and 8 disturbed sites (i.e. disused shrimp ponds) in three case study regions in south-east Asia, water levels were measured and vegetation composition was determined. Using an existing hydrological classification for mangroves, sites were classified into hydrological classes, based on duration of inundation, and vegetation classes, based on occurrence of mangrove species. For the natural sites hydrological and vegetation classes were similar, showing clear distribution of mangrove species from wet to dry sites. Application of the classification to disturbed sites showed that in some locations hydrological conditions had been restored enough for mangrove vegetation to establish, in some locations hydrological conditions were suitable for various mangrove species but vegetation had not established naturally, and in some locations hydrological conditions were too wet for any mangrove species (natural or planted) to grow. We quantified the effect that removal of obstructions such as dams would have on the hydrology and found that failure of planting at one site could have been prevented. The hydrological classification needs relatively little data, i.e. water levels for a period of only one lunar tidal cycle without additional measurements, and uncertainties in the measurements and analysis are relatively small. For the study locations, the application of the hydrological classification gave important information about how to restore the hydrology to suitable conditions to improve natural regeneration or to plant mangrove species, which could not have been obtained by estimating elevation only. Based on this research a number of recommendations are given to improve the effectiveness of mangrove restoration projects.
Date made available29 Dec 2015
PublisherWageningen University
Temporal coverage2007 - 2012
Date of data production5 Dec 2015
Geographical coverage southeast Asia, Vietnam - Can Gio, Vietnam - Ca Mau, Indonesia - Mahakam

Research Output

Hydrological classification, a practical tool for mangrove restoration

van Loon, A. F., te Brake, B., Van Huijgevoort, M. H. J. & Dijksma, R., 2016, In : PLoS ONE. 11, 3, 26 p., e0150302.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
  • 14 Citations (Scopus)

    Cite this

    te Brake, B. (Creator), van Huijgevoort, M. H. J. (Creator), Dijksma, R. (Creator) (29 Dec 2015). Water level data in mangrove forests and mangrove restoration sites in SE Asia. Wageningen University. 10.17026/dans-23h-x567