Addressing biodiversity in a stakeholder-driven climate change vulnerability assessment of forest management

Lexer, Manfred J.; Seidl, Rupert

doi:10.1016/j.foreco.2009.07.011

Cited by 36 publications

(26 citation statements)

References 42 publications

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“…Mainly as a response to increasing bark beetle damages and resulting sanitation fellings obligatory under the current forest legislation standing deadwood stock decreased moderately under climate change compared to baseline simulations (cf. Lexer and Seidl 2009). Stand predisposition to windthrow and snow breakage, represented by sub-indicators SE5.2 and SE5.3, were found to be relatively insensitive to changing climatic conditions (Fig.…”

Section: Indicator Performance Under Climate Changementioning

confidence: 95%

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Climate change vulnerability of sustainable forest management in the Eastern Alps

Seidl

Rammer²,

Lexer³

2010

Climatic Change

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Considering climatic uncertainties in management planning is a prerequisite for sustainable forest management (SFM). The aim of the study was to evaluate climate change vulnerability of the current SFM strategy for commercial forests managed by the Austrian Federal Forests. To that end vulnerability indicators were defined in a stakeholder process (selected indicators were productivity, timber and carbon stocks, biodiversity, disturbances, a tree species' position in fundamental niche space, silvicultural flexibility and cost intensity) and their performance under climate change scenarios assessed with an ecosystem model. Multi criteria analysis techniques were employed in a partial aggregation of indicators to locate forest stands on a vulnerability surface. Results revealed high vulnerability particularly in the second half of the twenty-first century, where 39.6% of the 164.550 ha study area were assessed highly vulnerable to climate change, indicating a strong decline in the functions and services represented by the indicator system. Water-limited sites on calcareous bedrock were most negatively affected whereas assessment units at higher altitudes responded predominately positive to climate warming. The presented approach, transparently integrating multiple management objectives and allowing a quantitative comparison of vulnerabilities between sites and management strategies, contributes to the development of operational and efficient climate change adaptation measures in forest management.

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Section: Indicator Performance Under Climate Changementioning

confidence: 95%

“…Figure 2 summarizes the vulnerability assessment framework, while Appendix 2 gives details on indicators and their weights. In addition, a sensitivity analysis giving further insight into the assessment framework and discussing trade-offs between indicators is presented in Lexer and Seidl (2009).…”

Section: Indicator Valuation and Aggregationmentioning

confidence: 99%

Climate change vulnerability of sustainable forest management in the Eastern Alps

Seidl

Rammer²,

Lexer³

2010

Climatic Change

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“…Going on to briefly describe the MCDM methods used when the problems are of a discrete nature, it should be noted that the most intuitive and simplest, and the one widely used in forest management problems [90], is the Simple Additive Weighting Method (SAW). This method consists of selecting the alternative which supplies the highest value of the objective function.…”

Section: A3 Multiple-criteria Decision-making Approachesmentioning

confidence: 99%

Operational Research Techniques Used for Addressing Biodiversity Objectives into Forest Management: An Overview

Ezquerro

Pardos²,

Dı́az-Balteiro

2016

Forests

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Abstract:The integration of biodiversity into forest management has traditionally been a challenge for many researchers and practitioners. In this paper, we have provided a survey of forest management papers that use different Operations Research (OR) methods in order to integrate biodiversity objectives into their planning models. One hundred and seventy-nine references appearing in the ISI Web of Science database in the last 30 years have been categorized and evaluated according to different attributes like model components, forest management elements, or biodiversity issues. The results show that many OR methods have been applied to deal with this challenging objective. Thus, up to 18 OR techniques, divided into four large groups, which have been employed in four or more articles, have been identified. However, it has been observed how the evolution of these papers in time apparently tended to increase only until 2008. Finally, two clear trends in this set of papers should be highlighted: the incorporation of spatial analysis tools into these operational research models and, second, the setting up of hybrid models, which combine different techniques to solve this type of problem.

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“…Vacik et al, 2007). Independent parallel consideration of different ecosystem services and functions may miss important interdependencies and generate misleading results, if for instance, disturbances are not explicitly simulated but considered by predisposition indices (Lexer and Seidl, 2009).…”

Section: Addressing Trade-offs Between Forest Ecosystem Services Withmentioning

confidence: 99%

Simulation tools for decision support to adaptive forest management in Europe

Muys

Hynynen²,

Palahí

et al. 2010

For. syst.

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In forest management there is a tendency towards measuring more cost-effective and simulating more. In this context the development of reliable, user friendly forest simulators has become economically relevant. The objective of this perspective paper is to highlight the recent trends in forest simulation and to identify the remaining challenges to make forest simulation a reliable tool for forest policy and management.Experiences with forest simulators for various purposes in different geographical contexts illustrate how the important challenges of forest decision support can be addressed through flexible customization for different end-user categories, offering spatially explicit approaches at the landscape scale, and integrating empirical and mechanistic models in hybrid and bayesian simulation approaches.Recent development trends in forest simulation for decision support are mainly related to the ever increasing calculation speed and capacity of computers, facilitating the development of robust tools with comfortable user interface and realistic functions and options. Another trend is the combination of simulation tools with optimization and choice algorithms fading away the difference between simulators and decision support systems.The remaining challenges are basically in the high expectations of stakeholders concerning the ability of simulators to predict a range of outcomes in terms of ecosystem services and sustainability indicators, as well as the quality of their outcome in terms of output credibility to stakeholders. Need for accepted and realistic model validation and verification methods preferably using empirical data is crucial in this matter.Key words: multi-objective forest planning; forest model; simulator; decision support system; climate change. ResumenHerramientas de simulación para el apoyo de toma de decisiones en la gestión forestal adaptativa en Europa En la planificación de la gestión forestal existe la tendencia a medir menos y similar más. En este contexto, el desarrollo de simuladores forestales es económicamente relevante para el gestor. El objetivo de este artículo es el de discutir y enfatizar tendencias en el ámbito de la simulación forestal e identificar retos importantes para que la simulación forestal sea una herramienta fiable en el proceso decisorio de la planificación forestal y en el de desarrollo de *

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Addressing biodiversity in a stakeholder-driven climate change vulnerability assessment of forest management

Cited by 36 publications

References 42 publications

Climate change vulnerability of sustainable forest management in the Eastern Alps

Climate change vulnerability of sustainable forest management in the Eastern Alps

Operational Research Techniques Used for Addressing Biodiversity Objectives into Forest Management: An Overview

Simulation tools for decision support to adaptive forest management in Europe

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