期刊
LANDSCAPE ECOLOGY
卷 32, 期 7, 页码 1485-1498出版社
SPRINGER
DOI: 10.1007/s10980-016-0396-4
关键词
Forest disturbance interactions; Windthrow; Ips typographus; Disturbance modeling; Climate change impacts; Picea abies
资金
- Austrian Science Fund FWF [P 25503-B16]
- European Commission's Marie Curie Career Integration Grant [PCIG12-GA-2012-334104]
- University of Natural Resources and Life Sciences Vienna (BOKU)f
- Austrian Science Fund (FWF) [P 25503] Funding Source: researchfish
Growing evidence suggests that climate change could substantially alter forest disturbances. Interactions between individual disturbance agents are a major component of disturbance regimes, yet how interactions contribute to their climate sensitivity remains largely unknown. Here, our aim was to assess the climate sensitivity of disturbance interactions, focusing on wind and bark beetle disturbances. We developed a process-based model of bark beetle disturbance, integrated into the dynamic forest landscape model iLand (already including a detailed model of wind disturbance). We evaluated the integrated model against observations from three wind events and a subsequent bark beetle outbreak, affecting 530.2 ha (3.8 %) of a mountain forest landscape in Austria between 2007 and 2014. Subsequently, we conducted a factorial experiment determining the effect of changes in climate variables on the area disturbed by wind and bark beetles separately and in combination. iLand was well able to reproduce observations with regard to area, temporal sequence, and spatial pattern of disturbance. The observed disturbance dynamics was strongly driven by interactions, with 64.3 % of the area disturbed attributed to interaction effects. A +4 A degrees C warming increased the disturbed area by +264.7 % and the area-weighted mean patch size by +1794.3 %. Interactions were found to have a ten times higher sensitivity to temperature changes than main effects, considerably amplifying the climate sensitivity of the disturbance regime. Disturbance interactions are a key component of the forest disturbance regime. Neglecting interaction effects can lead to a substantial underestimation of the climate change sensitivity of disturbance regimes.
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