Impact of bark beetle (Ips typographus L.) disturbance on timber production and carbon sequestration in different management strategies under climate change

Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies

“…Okland and Bjornstad 2003, Wermelinger 2004, Eriksson et al 2007 resulted in increased understanding of the herbivore-host complex at individual tree to stand level. This inter alia facilitated the design of models to assess climate change impacts on I. typographus disturbances at stand and forest management unit level (e.g., Seidl et al 2008). Alongside detailed small scale models accounting for the full complexity of bark beetle ecology, however, assessment tools at larger scales (e.g., province-, country-, continental-level) are required to support policy decisions under changing environmental conditions.…”

Turning the Tide: How Blue Carbon and Payments for Ecosystem Services (PES) Might Help Save Mangrove Forests

“…Here we qualitatively compare the exposure to biophysical hazards of mangrove forests with terrestrial forests and plantations. The main natural threats to forests worldwide are wind, snow, fire, and pests, including insect outbreaks, bacterial and fungal pathogens (Hoffmann et al 2003;Seidl et al 2008). Like other forests, mangroves can suffer serious damage (Alongi 2008;Cochard et al 2008;Gilman et al 2008) but their highly dynamic and resilient nature and peculiar physiology and location mean they differ from other forest types in susceptibility and response to particular threats (Alongi 2008).…”

Modelling natural disturbances in forest ecosystems: a review

“…Models allow for a quantitative assessment of disturbance effects on forest resources and can thus demonstrate the consequences of neglecting disturbances in the planning for sustainable forest management (Schelhaas et al, 2002;Seidl et al, 2008). Furthermore, integrated vegetation-disturbance models are essential tools in scenario analysis, allowing management strategies to be scrutinized for their resilience to disturbances (Gunderson, 2000), their trajectories relative to the historic range of variability , or their vulnerability to climatic changes (Seidl et al, in press).…”

“…Yet, despite increasing knowledge on individual processes and their modelling, this potential has had only limited impact on forest ecosystem modelling (Johnson and Miyanishi, 2007), such that a coarse representation of disturbance regimes persists in these models (Cushman et al, 2007). As a consequence, disturbances are still widely neglected in models that are applied in a forest management context, potentially leading to biased results in model-based decision support (Seidl et al, 2008), or disturbance regimes are imposed on models by external parameters rather than being simulated as emergent properties of system dynamics (cf. .…”