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From forensics to action: the evolution of Global Mangrove Watch 

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By Lammert Hilarides, Global Mangrove Watch programme lead at Wetlands International 

For years, tracking global mangrove loss felt a bit like performing historical forensics. When early versions of the Global Mangrove Watch (GMW) platform launched, we were looking at broad, retrospective snapshots of the world’s coastlines. We could see where mangroves had been, but by the time the maps were published, the loggers had moved on, the shrimp ponds were built, or the restoration planting had already succeeded (rarely…) or failed on the ground.  

At the time, data was treated as a finished product, built by scientists, published in journals, and left largely static until the next major funding cycle. While invaluable for understanding long-term trends, it wasn’t designed for the day-to-day decisions needed to protect mangroves on the ground. 

With the release of the GMW version 4.1 dataset and our latest platform updates, that era is officially over.  

We are introducing a continuous, unbroken annual time-series spanning 1985 all the way to 2025, complemented by near real-time monthly alerts of mangrove loss until June 2026. This represents a fundamental shift in how the Global Mangrove Alliance operates: moving away from treating data as a static scientific product, towards a living operational platform that evolves alongside the people using it for conservation and restoration on the ground.

Our journey since publishing version 2.0 (the first publicly available version of the GMW) in 2018 has taught one important lesson: data is only as good as its responsiveness to reality. 

Science shouldn’t happen in isolation. With feedback from hundreds of users — through formal website channels, workshops, training sessions and countless conversations over the past years, we have deliberately evolved GMW into a tool built for real-world applications. 

Seeing loss and recovery more clearly 

GMW version 4.1 provides the most stable, reliable foundation yet for monitoring mangrove extent and change. One of the biggest advances of the new dataset is the ability to analyze gross loss and gross gain as separate layers. Previously, “net change” data could mask significant local deforestation if gains through restoration or natural regrowth elsewhere balanced the numbers. Now, practitioners can distinguish exactly where mangroves are being destroyed versus where recovery is taking root, allowing for much more targeted conservation and restoration efforts.  

Combined, this deep historical backdrop with our monthly mangrove loss alerts, now enhanced with color-coded visualizations showing the recency of each alert, local teams can immediately spot and react to potential illegal clearing as it happens. 

Turning data into daily decision-making 

To support making this data truly actionable, the platform itself has undergone a transformation. For the first time, we are introducing much-requested features including user accounts, subscriptions, and customizable Areas of Interest. Rather than navigating from the global map from scratch every time they visit, users can now draw a boundary around their own areas of interest, save them, and return to them instantly, and receive tailored updates whenever new data becomes available.  

We are already seeing how this localized, user-driven approach is changing how stakeholders are managing their mangrove forests.  

In Ecuador, the national GMA Chapter is building its very own national mangrove monitoring system using GMW data, empowering local stakeholders to directly track and defend their forests with greater confidence and consistency. 

 Similarly, the Kenya Forest Service is using these tailored insights to strengthen how regional mangrove resources are monitored, governed and restored. 

To bridge the gap between data and direct action even further, the platform now features a much closer integration with the Mangrove Restoration Tracker Tool (MRTT). Rather than just viewing loss from a distance, practitioners can now seamlessly transition from monitoring a site in the GMW to tracking the actual progress and health of restoration projects in the MRTT over time. 

Building the foundation for  what’s  next 

Crucially, version 4.1 acts as a rock-solid foundation for an expanding ecosystem of the other GMW-data layers. While today’s release focuses on updated GMW extent and change data, it also lays the groundwork for a complete refresh of our most key global datasets over the coming year, including mangrove biomass, blue carbon stocks, restoration potential and many others. Together, these datasets will provide an increasingly comprehensive picture of the world’s mangrove ecosystems. 

Sitting at the intersection of data science, software development- and end-user training gives me a unique vantage point on this evolution.  

I see firsthand that the GMW is no longer just a mapping portal, it is a collaborative feedback loop.  

When a local practitioner runs into a challenge on the ground, that experience feeds directly back into our development process, shaping the datasets we produce, the code we write and the tools we deliver back to the field. Every improvement is informed by the people putting GMW into practice 

Help shape the future of the GMW 

The Global Mangrove Alliance was founded on the belief that no single organization can protect the world’s coastlines alone. Global Mangrove Watch reflects that same philosophy: by turning our scientific data into an open, community-driven process, we are ensuring that the tools to defend these vital ecosystems belong to everyone.  

The maps are sharper, the alert system is live, and the infrastructure is ready.  

We invite conservationists, policymakers, and researchers to create an account, subscribe to your regions of interest, and continue refine this platform by sharing feedback through the GMW contact form, by email or by flagging data issues directly on GitHub.  

The latest data is in your hands, now let’s continue to use it to make measurable differences on the ground. And we will measure them!

Author

Lammert Hilarides

Senior Technical Officer, Information Management