Dataset Information

Dataset on plot inventories of species diversity and structural parameters of natural and rehabilitated mangrove forest in the Trat province of Thailand.

ABSTRACT: The data presented in this article relates to the research article "A history of the rehabilitation of mangroves and an assessment of their diversity and structure using Landsat annual composites (1987-2019) and transect plot inventories" [1]. This article describes how the rehabilitated mangroves evolved over 28 years and whether the ecological parameters of rehabilitated forest resembled those of the adjacent natural mangroves. This article presents species and structural composition data of rehabilitated and adjacent natural mangrove forests in the Trat Province of eastern Thailand. The species type, their girth at 1.3?m breast height, tree height, and the number of seedlings for each of the thirteen species, (Avicennia alba, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera sexangula, Ceriops tagal, Excoecaria agallocha, Intsia bijuga, Lumnitzera littorea, Lumnitzera racemosa, Rhizophora apiculata, Rhizophora mucronata, Xylocarpus granatum, and Xylocarpus moluccensis), of the mangrove forests were collected. The data were collected in 10?×?10?m size plots from the seaward to landward end along with the stand age of the rehabilitated mangroves. The data was analysed using the Importance Value, Complexity Index, Simpson's Dominance Index of diversity and Simpson's Reciprocal, and Shannon-Weaver Index to distinguish various diversity and structural parameters using the mangrove forest structure and vegan: Community Ecology Package in R programming [2,3].

SUBMITTER: Pimple U

PROVIDER: S-EPMC7168731 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Dataset on plot inventories of species diversity and structural parameters of natural and rehabilitated mangrove forest in the Trat province of Thailand.

Pimple Uday U

Data in brief 20200413

The data presented in this article relates to the research article "A history of the rehabilitation of mangroves and an assessment of their diversity and structure using Landsat annual composites (1987-2019) and transect plot inventories" [1]. This article describes how the rehabilitated mangroves evolved over 28 years and whether the ecological parameters of rehabilitated forest resembled those of the adjacent natural mangroves. This article presents species and structural composition data of r ...[more]

PMID: 32322631

Similar Datasets

Project description:Mangroves can capture and store organic carbon and their protection and therefore their restoration is a component of climate change mitigation. However, there are few empirical measurements of long-term carbon storage in mangroves or of how storage varies across environmental gradients. The context dependency of this process combined with geographically limited field sampling has made it difficult to generalize regional and global rates of mangrove carbon sequestration. This has in turn hampered the inclusion of sequestration by mangroves in carbon cycle models and in carbon offset markets. The purpose of this study was to estimate the relative carbon capture and storage potential in natural and restored mangrove forests. We measured depth profiles of soil organic carbon content in 72 cores collected from six sites (three natural, two restored, and one afforested) surrounding Muisne, Ecuador. Samples up to 1 m deep were analyzed for organic matter content using loss-on-ignition and values were converted to organic carbon content using an accepted ratio of 1.72 (g/g). Results suggest that average soil carbon storage is 0.055 ± 0.002 g cm(-3) (11.3 ± 0.8% carbon content by dry mass, mean ± 1 SE) up to 1 m deep in natural sites, and 0.058 ± 0.002 g cm(-3) (8.0 ± 0.3%) in restored sites. These estimates are concordant with published global averages. Evidence of equivalent carbon stocks in restored and afforested mangrove patches emphasizes the carbon sink potential for reestablished mangrove systems. We found no relationship between sediment carbon storage and aboveground biomass, forest structure, or within-patch location. Our results demonstrate the long-term carbon storage potential of natural mangroves, high effectiveness of mangrove restoration and afforestation, a lack of predictability in carbon storage strictly based on aboveground parameters, and the need to establish standardized protocol for quantifying mangrove sediment carbon stocks.

Dataset Information

Dataset on plot inventories of species diversity and structural parameters of natural and rehabilitated mangrove forest in the Trat province of Thailand.

Publications

Dataset on plot inventories of species diversity and structural parameters of natural and rehabilitated mangrove forest in the Trat province of Thailand.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets