This research study uses predictive modeling to demonstrate that harvesting intensity and climatic aridity are the primary drivers of future carbon loss in British Columbia's Douglas-fir forests. By simulating forest growth over a fifty-year period, ...
This research study uses predictive modeling to demonstrate that harvesting intensity and climatic aridity are the primary drivers of future carbon loss in British Columbia's Douglas-fir forests. By simulating forest growth over a fifty-year period, the authors found that clearcutting significantly reduces total ecosystem carbon compared to lower-intensity methods like patch retention, which better preserve aboveground biomass. The data further reveals that forests in arid regions are more vulnerable to carbon depletion than those in humid climates, especially when high-intensity logging is applied. This document advocates for low-intensity harvesting systems and improved forest stewardship as essential strategies to maintain carbon sequestration and mitigate global warming.
