Frequently Asked Questions

Why loss drivers?

Mangrove loss extent has been defined over the last two decades, but the underlying drivers of the losses have not been mapped or quantified at a resolution high enough to inform local level policy. Through mapping global mangrove loss drivers at 30-meter resolution, we enable conservation and restoration activities to account for past anthropogenic and natural threats in the region to insure long-term conservation success.

What products are included in this dataset?

This dataset includes three global, 30-meter resolution layers:

  1. Loss extent in three epochs: 2000-2005, 2005-2010, and 2010-2016

  2. Land cover change in each loss pixel: mangrove to wet soil, dry soil, or water

  3. Driver of loss in each loss pixel: commodities, settlement, non-productive conversion, erosion, and extreme weather events

What does each loss driver category mean?

Loss driver classes were derived from a series of decision trees based on a global Random Forest-based analysis of land cover change.

Commodities: Conversion of mangroves to agriculture or aquaculture areas

Settlement: Conversion of mangroves to urban areas

Non-Productive Conversion: Conversion of mangroves to unused land as a result of human influences (e.g. through clear-cutting or human-driven hydrologic disturbance)

Erosion: Physical removal of shoreline as a result of ocean processes (e.g. sea level rise, waves, storms)

Extreme Weather Events: Conversion of mangroves to unused land as a result of storm events (e.g. hurricanes, drought)

How accurate is the data?

We found an overall map accuracy of 82% using recent best practices in area uncertainty evaluation. For more information on our accuracy assessment technique and results, please view the Supplementary Information of our manuscript.

Will this dataset be updated in the future?

We plan to update this dataset with contemporary loss extent and driver data within the next year. We also plan to expand the analysis to include the drivers of global mangrove gains to gain a better understanding of the net state of mangroves across the globe.

Can the data be used for any purpose?

This dataset and all associated code fall under a Creative Commons Attribution 4.0 (CC BY 4.0) International License , and can be used for any purpose given the inclusion of a citation of the paper and acknowledgement of the data source.

Where can I start analyzing the data now?

We're in the process of preparing several starter scripts for dataset analysis within Google Earth Engine

Visualize data in Earth Engine

Export data from Earth Engine

Visit the Download page to view all dataset download options.

How should I cite the data?

Manuscript citation:

Goldberg, L., Lagomasino, D., Thomas, N. and Fatoyinbo, T. (2020), Global declines in human‐driven mangrove loss. Glob Change Biol. Accepted Author Manuscript. doi:10.1111/gcb.15275

How can I learn about more related global mangrove and wetland analyses like this one?

Visit and for more information about related regional-to-global mangrove and coastal ecosystem analyses.

Who can I contact for more information?

Please contact Liza Goldberg, the corresponding author of the study.