Modelling the impact of forest management and CO₂-fertilisation on growth and demography in a Sitka spruce plantation.

ABSTRACT: Afforestation and reforestation to meet 'Net Zero' emissions targets are considered a necessary policy by many countries. Their potential benefits are usually assessed through forest carbon and growth models. The implementation of vegetation demography gives scope to represent forest management and other size-dependent processes within land surface models (LSMs). In this paper, we evaluate the impact of including management within an LSM that represents demography, using both in-situ and reanalysis climate drivers at a mature, upland Sitka spruce plantation in Northumberland, UK. We compare historical simulations with fixed and variable CO₂ concentrations, and with and without tree thinning implemented. Simulations are evaluated against the observed vegetation structure and carb

SUBMITTER: Argles APK 

PROVIDER: S-EPMC10439122 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature