Forest structure explains spatial heterogeneity of decadal carbon dynamics in a cool-temperate forest
Datos Bibliográficos
| ID | 15544901 |
|---|---|
| Autores | Kentaro Takagi (0000-0002-1321-2841, Hokkaido University, autor de correspondencia), Kojiiro Hirayama (0000-0001-7280-003X), Masato Hayashi (0000-0001-6120-9180, Japan Aerospace Exploration Agency), Kobayashi Makoto (0000-0002-2786-2220, Hokkaido University), Keiji Okada (0000-0001-9237-3485, Hokkaido University), Hiroyuki Oguma (0000-0002-0100-0243, National Institute for Environmental Studies), Nobuko Saigusa (0000-0003-2456-5279, National Institute for Environmental Studies) |
| Año | 2024 |
| Volumen | 19 |
| Número | 11 |
| Páginas | 114022 |
| Fecha de publicación | 2024-09-04 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Environmental Research Letters (JOURNAL) |
| Identificadores de la revista | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Editorial | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ad774a |
| OpenAlex | W4402210298 |
| Idioma | EN |
| Referencias citadas | 41 |
Accurate evaluation of forest biomass distribution and its long-term change over wide areas is required for effective forest carbon management and prediction of landscape-scale forest dynamics. We evaluated a landscape-scale (225 km 2 ) decadal forest carbon budget at a 1-ha spatial resolution in a cool-temperate forest, by repeating airborne laser observations 10 years apart and partitioning net forest biomass change into growth and mortality. Using >10,000 samples, we revealed that naturally regenerated forests have large spatial heterogeneity in net biomass change, and 3/4 of the photosynthetically acquired carbon stock moved to necromass even without anthropogenic disturbances. Actual carbon residence time as living tree biomass was estimated by dividing biomass by growth or mortality rates. The residence time was 107 and 106 years, respectively with large spatial variation among stands (48 and 42 years, respectively, as the difference between 25 and 75 percentile), although studied forest stands have small variation in the forest functional type in a landscape-scale. The best predictors of subsequent decadal biomass changes were two forest structural factors, mean canopy height and canopy height variation in addition to one environmental factor, elevation. Considering the long lifetime of trees, these structural factors may be an indicator of forest soundness rather than a cause of forest growth or mortality. However, in any cases, these structural factors can be powerful predictors of subsequent forest biomass change
Atmospheric sciences · Climatology · Ecosystem · Forest dynamics · Spatial heterogeneity · Temperate climate · Temperate forest · Temperate rainforest · Environmental Science · Fire effects on ecosystems · Plant Water Relations and Carbon Dynamics · Tree-ring climate responses · Ecology · Geology
Climate Change and Forests of the Future
Red and photographic infrared linear combinations for monitoring vegetation
The Strategy of Ecosystem Development
The Nasa Carbon Monitoring System Phase 2 synthesis
Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |