Original title: Where conservation and restoration matter most: sensitivity-based prioritization of connected forest
Bram Van Moorter, Rannveig Jacobsen, Ulrika Asplund, Yennie Bredin +4 · September 2026
Global conservation goals require knowing where protecting or fixing land does the most good. People often pick areas simply because the habitat is currently healthy, cheap, or large. However, these factors do not show which spots cause the biggest landscape-scale impacts if damaged or repaired. To solve this, researchers built a method that tests how sensitive an entire network of connected habitat is to local changes. By combining this sensitivity with an area's current condition, they mapped two things: places with high loss potential, where damage ruins the wider network, and places with high gain potential, where fixing the land creates massive network benefits. Testing this on forest data in Norway, they found that gain potential is not just in the most degraded forests. Crucially, existing protected areas poorly cover both types of critical land, though they cover loss potential better than gain potential.
Imagine you are deciding which cracks in a dam to patch first. Some cracks are tiny and do nothing; others, if they grow, will cause the whole dam to burst. You cannot patch everything, so you need to find the cracks where a small change—a little more cracking or a little more patching—makes the biggest difference to the dam's strength. In this paper, the dam is a forest landscape, the cracks are patches of degraded or healthy forest, and the method finds which patches most affect the whole network's ability to support wildlife.
Governments have pledged to conserve and restore huge areas of land, but they have limited money and time. This work gives them a way to find the exact spots where protecting a forest from logging, or letting it regrow, will have the biggest effect on the whole landscape. It separates places where damage would be catastrophic from places where restoration would be most valuable, so limited resources go where they do the most good.
The abstract does not specify the exact connectivity metric used, the spatial resolution of the data, or whether the method accounts for different species' dispersal abilities. It also does not compare the approach to other prioritization methods on the same data, so relative performance is unknown. The results are specific to Norway's forest-naturalness data and may not generalize to other ecosystems or regions without recalibration.
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Where conservation and restoration matter most: sensitivity-based prioritization of connected forest — Bram Van Moorter, Rannveig Jacobsen, Ulrika Asplund et al. — bioRxiv — doi:10.64898/2026.09.10.750632
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.