Working in an industry that is pretty niche has both advantages and challenges. Well, maybe the challenges are a bit more. People in the field of biodiversity deal with lots of data and KPIs, and that’s not where the main problem is. In fact, when you’re deep into the subject, there is no issue in understanding and analysing already existing data. However, things change when the content you create is addressed to wider audiences. Are you sure they get the message?
On the other hand, many of us chase the attention of the audience, forgetting about our main goal within the industry. Yes, KPIs are always great when an idea needs to be explained or proved. They elevate the conversation from theory to tangible discussions.
Long story short, you need to treat biodiversity KPIs as indicators for the public, but essential for the industry experts or, as we call it, something beyond PR. In this article, we will explore more on how to work with data that matters.
Glossary● Occurrence record: a geotagged observation with time + accuracy. ● WMTS/XYZ tiles: web map tile formats your proxy can mirror for fast views. ● Reprojection (CRS/EPSG): aligning layers to a common coordinate system. ● KBA: Key Biodiversity Area; use for “inside/outside” overlays. |
Integrating regional map layers
In many teams, it’s an accepted fact that in order to compare different regions, they need to ensure browsing as a local. They widely use proxy services between conservation data portals and the analysis tools they rely on. Especially today, with the abundance of free proxy services, it’s relatively easy to find reputable platforms that offer maximum value (working smoothly, fast, etc.).
It’s always good if the proxy used is lightweight, as it makes it easier to monitor the freshness and speed of inputs, so KPIs reflect current conditions, not last quarter.
Here’s how it works in practice. The proxy collects public feeds such as species records, protected areas, habitat layers, and time-based alerts. It reprojects everything to the same grid, harmonises field names, and applies rules so overlays line up neatly. For maps, it mirrors XYZ or WMTS tiles and applies edge caching so repeat views load quickly during workshops. For features, it splits requests into pages and throttles them if needed, while logging source and timestamps per layer so you can measure update speed and completeness. Because local portals often use different schemas, the proxy also translates category codes into human-readable labels. This turns a messy patchwork of feeds into one clear, regional view.
With this setup, you can publish composite layers that matter for planning, such as “new protected areas inside Key Biodiversity Areas” or “freshwater corridors with high observation density for key species.” The free proxy (you can get it even from premium platforms similar to Webshare) then anchors KPIs like time to register new areas, share of tiles served within target latency, or percentage of records meeting chosen accuracy levels. Most importantly, it allows regional dataset comparisons without forcing users to learn each portal’s quirks. The result is a faster, cleaner route from open data to indicators that can directly support real-world decisions.
The KPIs that matter for decisions, not press releases
A practical KPI set should combine coverage, usage, and freshness. Coverage shows where we stand, usage shows whether data is pulled into decisions, and freshness shows whether the picture is current. Global evidence helps anchor each category. For coverage, the latest official review reports that 17.6 percent of land and inland waters and 8.4 percent of the ocean are within documented protected and conserved areas, which sets a clear baseline for Target 3 conversations.
For data richness, occurrence records accessible through the main open biodiversity infrastructure surpassed 3 billion during 2024, a level that makes regional baselines statistically robust for many taxa. For threat context, more than 169,000 species have been assessed on the global Red List, with over 47,000 categorised as threatened, which signals where protection and restoration should concentrate. For timeliness, near real time change detection is becoming the norm. Loss alerts now provide monthly updates for about half of the world’s mangroves, which illustrates how quickly certain habitat indicators can refresh.
A compact way to put these elements to work is to track them side by side and require that they move together. Managers can, for example, tie budgeting or project gating to improvements in both coverage and data freshness. One simple dashboard can carry more weight than a dozen glossy charts if it ties numbers to action thresholds.
| Metric | Latest indicative figure | Why it matters |
| Terrestrial and inland waters in protected or conserved areas | 17.6% | Anchors progress on area based conservation |
| Ocean and coastal areas in protected or conserved areas | 8.4% | Highlights the larger gap at sea |
| Open species occurrence records | 3 billion plus | Supports robust regional baselines and trend tests |
| Species assessed on global Red List | 169,000 plus, with 47,000 plus threatened | Focuses protection and restoration on priority taxa |
| Mangrove loss alert coverage | ~50% of global mangroves with monthly alerts | Demonstrates feasibility of rapid habitat KPIs |
It is worth noting that these numbers should be localised, not quoted globally in isolation. The free integration layer described above lets you recompute each KPI for a specific region, then compare neighbouring jurisdictions on like for like terms.
Key takeaways
- Treat KPIs as decision levers, not PR.
- Normalise feeds (CRS, tiles, fields) via a proxy to compare regions fairly.
- Put “coverage/usage/freshness” side-by-side and gate budgets on all three.





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