Modeling forest landscape futures: Full scale simulation of realistic socioeconomic scenarios in Estonia.

ABSTRACT: For political and administrative governance of land-use decisions, high-resolution and reliable spatial models are required over large areas and for various time horizons. We present a process-centered simulation model 'NextStand' (a forest landscape model, FLM) and its R-script, which predicts regional forest characteristics at a forest stand resolution. The model uses whole area stand data and is optimized for realistic iterative timber harvesting decisions, based on stand compositions (developing over time) and locations. We used the model for simulating spatial predictions of the Estonian forests in North Europe (2.3 Mha, about 2 M stands); the decisions were parameterized by land ownership, protection regimes, and rules of clear-cut harvesting. We illustrate the model application as a

SUBMITTER: Kaasik A 

PROVIDER: S-EPMC10655990 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature