Open dataset · Habitat

Drivers of global mangrove loss and gain - data and code

Drivers of global mangrove loss and gain - data and code is an open dataset published by figshare, under CC BY 4.0. It describes mangrove forests. Coverage: global mangroves.

CC BY 4.0Published 2022Free download

About this dataset

The data generated in the study on Drivers of global mangrove conservation success in socio-ecological systems (Hagger et al. 2022), including all variables for the analysis of drivers and hotspots of mangrove loss and gain, and national datasets dervied from the reviews of community forestry (CF), Nationally Determined Contributions (NDCs), and mangrove restoration projects. R code developed for the driver and hotspot analysis, figure production, and for the calculation of community forestry, NDC, and mangrove restoration indices. R code can be used together with the data to recalculate the study results and reproduce the figures.

The authors' description, from the dataset's DataCite record (10.6084/m9.figshare.21097435.v2, CC0).

What it describes

Habitat
Mangrove forests
Variables
Net loss, net gain Mangrove cover (% km2)

Get the data

Download files from figshare 21097435 (v2). Main variables table: se_bp_typ_vars.csv (2.9 MB, https://ndownloader.figshare.com/files/37438210); country table se_bp_vars_country.csv (https://ndownloader.figshare.com/files/37438213); mangrove typology table Mang_Typ_v2_2_Comp_Mod_Table.xls (https://ndownloader.figshare.com/files/37438174); plus R scripts and review spreadsheets (28 files).

How to cite it

Hagger V., Worthington T.A., Lovelock C.E., Saunders M.I. (2022) Drivers of global mangrove loss and gain - data and code. figshare. doi:10.6084/m9.figshare.21097435. Article: Hagger et al. (2022) Nature Communications. doi:10.1038/s41467-022-33962-x

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