Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion.

ABSTRACT: The response of forest productivity to climate extremes strongly depends on ambient environmental and site conditions. To better understand these relationships at a regional scale, we used nearly 800 observation years from 271 permanent long-term forest monitoring plots across Switzerland, obtained between 1980 and 2017. We assimilated these data into the 3-PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from 14% to 5% for forest stem carbon stocks and from 45% to 9% for stem carbon stock changes. We then estimated the productivity of forests dominated by Picea abies and Fagus sylvatica for the period of 1960-2018, and tested for productivity shifts in response to climate along elevational gradient and in extreme years. Simulated net primary produ

SUBMITTER: Trotsiuk V 

PROVIDER: S-EPMC7154780 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature