Dutch pension manager ABP has committed €150 million to Silva Fund II, the forestry strategy run by SLM Partners, which has now closed the vehicle.

APG, which manages assets for ABP, executed the commitment. Andrey Gushchin, senior portfolio manager at APG, said the strategy's use of continuous cover forestry was a key differentiator for the pension.

What does the commitment signal?

The €150 million figure anchors one of the larger institutional allocations to a forestry vehicle structured around continuous cover methods rather than conventional clear-fell rotation. Gushchin's comment places the agronomic and silvicultural model — not merely expected returns — at the center of the investment decision.

Continuous cover forestry avoids wholesale clear-cutting. It manages stands through selective harvesting, maintaining forest cover and soil structure across cycles. For a pension allocator, that management approach carries implications for long-term asset value, timber supply continuity, and the environmental profile of the holding.

The commitment gives SLM Partners, the asset manager behind the Silva strategy, fresh deployed capital for forestland acquisition and management under that model.

Why the management model mattered

Gushchin's assessment, delivered on behalf of APG, framed the decision in operational terms. "The strategy's use of continuous cover forestry was a key differentiator for the pension," he said, according to the announcement of the close.

That phrasing matters for how other institutional investors may read the forestry asset class. Where earlier generations of timber funds leaned on clear-cut economics and land appreciation, the Silva Fund II mandate ties the capital to a specific stewardship regime.

What comes next

With the fund closed and the €150 million commitment secured, SLM Partners moves to deployment. The pace of forestland transactions under continuous cover management, and the returns the model delivers against conventional forestry benchmarks, will define whether the differentiator Gushchin cited translates into performance.