Analysis · biodiversity net gain
How condition uplifts pay off.
Every enhancement on a habitat bank delivers a different number of biodiversity units, over a different number of years. The statutory metric scores the result, but it won’t tell you which enhancement to choose. Here’s one way to rank them.
The metric scores your plan. It won’t rank your options.
I talk to many habitat banks, as well as their advisors and investors, and it’s clear that one question comes up again and again when running feasibility: is this a viable habitat bank scheme, and which habitat combination gets it there? Part of the answer to that is ecology, part of it is commercial; for this site baseline, which enhancements deliver the most units, fastest? The wrong mix is at best a weak conclusion; at worst, it’s land committed for decades to the wrong habitats.
If you could run the statutory metric’s calculations yourself, outside the spreadsheet, you could simplify the commercial aspect of the decision to a single number: units per year. Hold everything else steady, and a wall of multipliers becomes a ranking you can act on.
Units per year isn’t the whole answer to this question. There are real, spades-in-ground consequences, but it is the fixed terms that we operate under when calculating biodiversity unit values.
With abitat tools, you can run those calculations. So… we did!
The five conditions run top (Poor) to bottom (Good)left (Poor) to right (Good). Thicker, greener brackets mean more units per year, so at a glance you can see which moves pay off fastest.
Use the controls to select a habitat and see the shape of its pay-offs.
Some moves deliver in a few years; others take decades. Some moves to higher condition habitats carry equal rewards, some don’t. Exploring the graph here, you’ll find many weak options (thinner lines, lighter colours) that aren’t always predictable.
The same options, sorted by rate.
The top of the list is the best rate. This is often a small, quick uplift that delivers little in total. For the clearest assessment, you need rate and total units together.
The unit calculations are the part that’s non-negotiable, but decisions about habitat mixes always play against real-world constraints: capital, labour, and conditions on-site.
Ranking the moves on one parcel is the easy half.
A real decision has to choose between many options. Two habitats can share the same broad habitat and the same distinctiveness, yet deliver very differently over time because of their differing time to target condition and the difficulty of delivery.
To choose between them, you have to see them together.
Both habitats are the same broad type and the same distinctiveness. On a summary sheet they’d look interchangeable. They aren’t: one habitat sits up and to the left of the other, delivering units at a faster rate on the same ground.
Your site is half the decision. The market is the other half.
This analysis tells you what a site can deliver. It doesn’t tell you whether those units will sell — whether local supply is already saturated, where demand is under-served, who else is delivering the same habitat in the same area. That’s where a decision is won or lost, and it’s guesswork without the data.
abitat intel joins this analysis to the rest of the market: every registered site, linked by habitat, distinctiveness, operator, local planning authority (LPA), national character area (NCA) and local nature recovery strategy (LNRS), with the demand pipeline that planning applications signal. Built by the team behind the open source statutory metric, so the biodiversity units shown aren’t estimates; they’re exactly what you get from the spreadsheet version of the metric.
Numbers for the report, or the internal investigation.
If the question is bigger than one parcel or a comparison of two options, which it almost always is, abitat can help with that as well.
Because we maintain the open source statutory metric, we can run feasibility calculations the metric itself won’t. Point us at your parcels, your habitat mix and your catchment, and we’ll run this analysis against them — the numbers ready to drop into the feasibility report or the internal case for the site.