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Tree species admixture increases ecosystem service provision in simulated spruce- and beech-dominated stands.

Authors :
Mey, Reinhard
Zell, Jürgen
Thürig, Esther
Stadelmann, Golo
Bugmann, Harald
Temperli, Christian
Source :
European Journal of Forest Research. Oct2022, Vol. 141 Issue 5, p801-820. 20p.
Publication Year :
2022

Abstract

Climate-adaptive forest management aims to sustain the provision of multiple forest ecosystem services and biodiversity (ESB). However, it remains largely unknown how changes in adaptive silvicultural interventions affect trade-offs and synergies among ESB in the long term. We used a simulation-based sensitivity analysis to evaluate popular adaptive forest management interventions in representative Swiss low- to mid-elevation beech- and spruce-dominated forest stands. We predicted stand development across the twenty-first century using a novel empirical and temperature-sensitive single-tree forest stand simulator in a fully crossed experimental design to analyse the effects of (1) planting mixtures of Douglas-fir, oak and silver fir, (2) thinning intensity, and (3) harvesting intensity on timber production, carbon storage and biodiversity under three climate scenarios. Simulation results were evaluated in terms of multiple ESB provision, trade-offs and synergies, and individual effects of the adaptive interventions. Timber production increased on average by 45% in scenarios that included tree planting. Tree planting led to pronounced synergies among all ESBs towards the end of the twenty-first century. Increasing the thinning and harvesting intensity affected ESB provision negatively. Our simulations indicated a temperature-driven increase in growth in beech- (+ 12.5%) and spruce-dominated stands (+ 3.7%), but could not account for drought effects on forest dynamics. Our study demonstrates the advantages of multi-scenario sensitivity analysis that enables quantifying effect sizes and directions of management impacts. We showed that admixing new tree species is promising to enhance future ESB provision and synergies among them. These results support strategic decision making in forestry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16124669
Volume :
141
Issue :
5
Database :
Academic Search Index
Journal :
European Journal of Forest Research
Publication Type :
Academic Journal
Accession number :
159381671
Full Text :
https://doi.org/10.1007/s10342-022-01474-4