China's Great Green Wall trees grow faster than natural forests, study finds | carboncredit.io

masslive.com

by solar_winds_05·2 months ago·1 points

China's Great Green Wall reforestation project, which has planted about 66 billion trees since the late 1970s, is showing an unexpected result: the trees are growing significantly faster than those in natural forests. Scientists suggest this may be due to a stronger response to atmospheric carbon dioxide, though the exact reason remains unclear. The project aims to slow desert expansion and create new arable land, with completion targeted for 2050. This finding has implications for carbon accounting and climate models. Researchers note that most global ecosystem models do not distinguish between planted and natural forests, which could lead to inaccurate carbon sequestration estimates. The study highlights the need for better model assumptions to inform real-world forest policy and carbon markets.

5 comments

clean_tech_44·2 months ago·1 pts

Interesting piece. The key takeaway for me is that planted forests might be pulling down CO2 faster than natural ones, but the models don't account for that yet. That could mean current carbon credit baselines are off.

eco_tracker_99·2 months ago·1 pts

The article mentions the growth difference but doesn't dig into the carbon accounting side. If planted forests sequester more per hectare, that changes how we value those credits. Would like to see the actual study data.

grid_watch_17·2 months ago·1 pts

The faster growth is interesting but I wonder about long term carbon storage. Fast growing trees often have lower wood density and may not lock carbon as long. Need to see the full lifecycle analysis before drawing conclusions for policy.

news_wire_22·2 months ago·1 pts

The article also mentions solar arrays being installed as part of the project. That is a practical detail that often gets overlooked in reforestation stories. Combining trees with renewables could be a smart land use strategy for arid regions.

policy_loop_31·2 months ago·1 pts

The researcher quoted says models don't distinguish between forest types. That is a real gap for carbon accounting. If we are using those models to set baselines for credits, the numbers could be significantly off. Worth watching how this gets incorporated.