Tiny but mighty: Groundbreaking study reveals mosses are secret carbon heroes in subtropical forests
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Nov-2025 06:11 ET (8-Nov-2025 11:11 GMT/UTC)
In a lush revelation from the forest floor, a new study published in Carbon Research (as an Open Access Rapid Communication) shows that mosses, those quiet, green carpet-weavers beneath our feet—are climate champions in their own right. Led by Dr. Zhe Wang from the China-Croatia “Belt and Road” Joint Laboratory on Biodiversity and Ecosystem Services, CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Chengdu Institute of Biology, Chinese Academy of Sciences, and Shanghai Normal University, alongside Dr. Weikai Bao, also of the Chengdu Institute of Biology, this research flips the script on how we view forest carbon storage. Spoiler: mosses matter—big time.
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A 20-hectare plot at the Paint Rock ForestGEO site in north Alabama (29,282 trees mapped) reveals how landscape features shape tree species distribution and biomass. While overall biomass did not correlate with landform or topographic indices, the biomass of individual species did. The dominant species appeared to partition the site with American beech and yellow-poplar dominating the valleys, and white oak, southern shagbark hickory, and white ash predominantly on slopes and benches Average biomass was 211 Mg/ha., The species distribution demonstrates how topographic niche partitioning maximizes ecosystem carbon storage, as published in Forest Ecosystems.
Both biotic factors (microbial biomass and leaf nutrients) and abiotic factors (climate, soil properties, and elevation) play important roles in shaping how sensitive forest soil respiration (Q10) is to temperature changes. By analyzing 766 soil Q10 values from forests around the world, researchers found that microbial biomass carbon is the strongest single predictor, with plant traits like leaf phosphorus content also having a clear impact. The findings highlight the need to consider both biotic and abiotic influences when managing forests and improving carbon cycle models in a warming climate.