Abstract
AbstractAssessing long-term changes in biomass of old-growth forests is critical in evaluating forest ecosystem functions under a changing climate. Long-term biomass changes are the result of accumulated short-term changes, which can be affected by endogenous processes such as gap filling in small-scale canopy openings. Here, we used 26 years (1993–2019) of repeated tree census data in an old-growth, cool-temperate, deciduous mixed forest that contains three topographic units (riparian, denuded slope, and terrace) in northern Japan to document decadal changes in aboveground biomass (AGB) and their processes in relation to endogenous processes and climatic factors. AGB increased steadily over the 26 years in all topographic units, but different tree species contributed to the increase among the topographic units. AGB gain within each topographic unit exceeded AGB loss via tree mortality in most of the measurement periods despite substantial temporal variation in AGB loss. At the local scale, variations in AGB gain were partially explained by compensating growth of trees around canopy gaps. Climate affected the local-scale AGB gain: the gain was larger in the measurement periods with higher mean temperature during the current summer but smaller in those with higher mean temperature during the previous autumn, synchronously in all topographic units. The decadal climate trends of warming are likely to have contributed to the steady increase in AGB in this old-growth forest.
Publisher
Cold Spring Harbor Laboratory
Reference49 articles.
1. Bartoń K (2019) Package ‘MuMIn’. Multi-Model Inference.
2. Bormann FH , Likens GE (1979) Pattern and process in a forested ecosystem : disturbance, development, and the steady state based on the Hubbard Brook ecosystem study. Springer-Verlag, New York, USA
3. Net aboveground biomass declines of four major forest types with forest ageing and climate change in western Canada's boreal forests;Global Change Biol.,2015
4. Climate change-associated trends in net biomass change are age dependent in western boreal forests of Canada;Ecol Lett.,2016