View the Project on GitHub

Estimate carbon emissions from mangrove deforestation

2018-10-10 Data compiled by: Fernanda Adame Code by: CJ Brown

This is supplementary material prepared in support of the publication:

Adame, Brown, Bejarano, Herrera-Silveira, Ezcurra, Kauffman, Birdsey. In Press. The undervalued contribution of mangrove protection in Mexico to carbon emission targets. Conservation Letters. DOI: 10.1111/conl.12445

Please cite that publication if you use this code.

An interactive web app that runs these models is available from the Global Wetlands Program.

We identified a bug in the function for estimating carbon emissions, this has been fixed in the app (10-10-2018), so please pull the latest update if you downloaded this package before that date. The bug caused under-estimation of emissions at very high deforestation rates (>10% pa). We have not yet updated the equations in this package for estimating deforestation and degradation. If degradation is important to you, let me know and I may be able to move fixing the bug further up my priority list.

Please contact or pull a request on this github project if you have any queries.

Using this package

To use package, open R and type: install.packages("devtools") Then to access the package’s functions and data: devtools::install_github("cbrown5/MangroveCarbon")

Important files

The raw data and scripts used to generate the projections in the paper are available under the /data-raw folder: 1_prep_data.R will recreate the internal dataframes. 2_projections.R runs projections and creates figure 3 of the paper. 3_historic.R estimates historic emissions from observed deforestation.

Code for the shiny application is under /inst.

A bibtex file for citing this work is in file CITATION.

License: MIT + file LICENSE