scholarly journals A Decision Support System for Sustainable Forest Management and Ecosystem Service Provisioning at the Enterprise Scale

2020 ◽  
Vol 3 (1) ◽  
pp. 83
Author(s):  
Timothy Thrippleton ◽  
Clemens Blattert ◽  
Reinhard Mey ◽  
Jürgen Zell ◽  
Esther Thürig ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Ecosystem Service ◽  
Sustainable Forest Management ◽  
Management Strategies ◽  
Future Climate Change ◽  
Service Provisioning

Forest management is becoming increasingly complex due to increasing demands in ecosystem service provisioning and future climate change impacts. For a sustainable forest management, scientifically well-founded decision support is therefore urgently required. Within the project SessFor, a decision support system for strategic planning at the forest enterprise level is being developed, based on the climate sensitive forest model SwissStandSim and initialized from forest inventory data. The system is currently applied to the forest enterprise Wagenrain (440 ha), located in the Swiss Plateau region. Indicators for biodiversity and ecosystem service provisioning (timber production, recreation value and carbon sequestration) are calculated for different management strategies and evaluated using a multi-criteria decision analysis. Preliminary results demonstrate the suitability of the system to evaluate ecosystem service provisioning under different management strategies and to identify the best management strategy, based on criteria defined by the forest manager. Furthermore, results show how the system can be used to assess developments for time-scales of 50–100 years under different climate change scenarios. In the ongoing project, the system will be applied to other case study regions, including mountain forests, which are of key importance in Switzerland and other alpine areas.

scholarly journals Assisting Sustainable Forest Management and Forest Policy Planning with the Sim4Tree Decision Support System

Forests ◽  
2015 ◽  
Vol 6 (12) ◽  
pp. 859-878 ◽  
Author(s):  
Floris Dalemans ◽  
Paul Jacxsens ◽  
Jos Van Orshoven ◽  
Vincent Kint ◽  
Pieter Moonen ◽  
...  
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Sustainable Forest Management ◽  
Forest Policy ◽  
Policy Planning

scholarly journals Forest management strategies to reduce spruce budworm damage in the Fundy Model Forest

1996 ◽  
Vol 72 (4) ◽  
pp. 399-405 ◽  
Author(s):  
David A. MacLean
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Tree Mortality ◽  
Choristoneura Fumiferana ◽  
Management Strategies ◽  
Spruce Budworm ◽  
Stand Age ◽  
Timber Supply

Spruce budworm (Choristoneura fumiferana) outbreaks cannot be prevented, but the amount of damage that occurs can be managed. Tree species, stand age, hardwood content, and drainage class, as well as the outbreak severity and length, determine the amount of tree mortality during budworm outbreaks. Silviculture and forest management can be used to reduce the incidence of the most damaged stand types across the landscape. The amount of defoliation in mixed balsam fir-hardwood stands is strongly negatively related to hardwood content, especially with hardwoods > 40%. The Spruce Budworm Decision Support System (DSS) links models of stand and forest response to budworm outbreaks and inventory interpretation to a GIS, and can be used to evaluate effects of outbreaks and management on forest structure and timber supply. An example using the Spruce Budworm DSS for a portion of the Fundy Model Forest indicated that losses from a future budworm outbreak could be reduced 34% by directing harvesting and silviculture towards conversion of one-half of the most vulnerable stand types into low susceptibility or non-susceptible species. Key words: decision support system, vulnerability, silviculture, insect damage

scholarly journals Implementing Climate Change and Associated Future Timber Price Trends in a Decision Support System Designed for Irish Forest Management and Applied to Ireland’s Western Peatland Forests

Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 270 ◽  
Author(s):  
Anders Lundholm ◽  
Edwin Corrigan ◽  
Maarten Nieuwenhuis
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Forest Composition ◽  
Management Decision ◽  
Global Changes ◽  
The Impact

Research Highlights: Predicting impacts on forest management of Climate Change (CC) and dynamic timber prices by incorporating these external factors in a Forest Management Decision Support System (FMDSS). Background and Objectives: Forest managers must comply with Sustainable Forest Management (SFM) practices, including considering the long-term impacts that CC and the bioeconomy may have on their forests and their management. The aims of this study are: (1) incorporate the effects of CC and Dynamic Prices (DP) in a FMDSS that was developed for Ireland’s peatland forests, (2) analyse the impact of global climate and market scenarios on forest management and forest composition at the landscape level. Materials and Methods: Remsoft Woodstock is a strategic planning decision support system that is widely used for forest management around the world. A linear programming model was developed for Ireland’s Western Peatland forests while using Woodstock. Data from Climadapt, which is an expert-based decision support system that was developed in Ireland, were used to include CC effects on forest productivity and species suitability. Dynamic market prices were also included to reflect the changing demands for wood fibre as part of the European Union (EU) and global effort to mitigate CC. Results: DP will likely have more impact on harvest patterns, volumes, and net present value than CC. Higher assortment prices, especially for pulpwood, stimulate the harvesting of forests on marginal sites and off-set some of the negative CC growth impacts on forest profitability. Conclusions: Incorporating CC and bioeconomy prices in a forest decision support system is feasible and recommendable. Foresters should incorporate the expected global changes in their long-term management planning to mitigate the negative effects that un-informed management decisions can have on the sustainability of their forests.

The development and application of a decision support system for sustainable forest management on the Boreal Plain

2003 ◽  
Vol 2 (Supplement 1) ◽  
pp. S23-S34 ◽  
Author(s):  
L Van Damme ◽  
J S Russell ◽  
F Doyon ◽  
P N Duinker ◽  
T Gooding ◽  
...  
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Sustainable Forest Management

scholarly journals A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale

Forests ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 690 ◽  
Author(s):  
Marano ◽  
Langella ◽  
Basile ◽  
Cona ◽  
Michele ◽  
...  
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Sustainable Forest Management ◽  
Practical Case ◽  
Landscape Matrix ◽  
Yield Data ◽  
Life Project

Forests are part of a complex landscape mosaic and play a crucial role for people living both in rural and urbanized spaces. Recent progresses in modelling and Decision Support System (DSS) applied to the forestry sector promise to improve public participative forest management and decision-making in planning and conservation issues. However, most DSS are not open-source systems, being in many cases software designed for site-specific applications in forest ecosystems. Furthermore, some of these systems often miss challenging the integration of other land uses within the landscape matrix, which is a key issue in modern forestry planning aiming at linking recent developments in open-source Spatial-DSS systems to sectorial forest knowledge. This paper aims at demonstrating that a new type of S-DSS, developed within the Life+ project SOILCONSWEB over an open-source Geospatial Cyber-Infrastructure (GCI) platform, can provide a strategic web-based operational tool for forest resources management and multi-purpose planning. In order to perform simulation modelling, all accessible via the Web, the GCI platform supports acquisition and processing of both static and dynamic data (e.g., spatial distribution of soil and forest types, growing stock and yield), data visualization and computer on-the-fly applications. The DSS forestry tool has been applied to a forest area of 5,574 ha in the southern Apennines of Peninsular Italy, and it has been designed to address forest knowledge and management providing operational support to private forest owners and decision-makers involved in management of forest landscape at different levels. Such a geospatial S-DSS tool for supporting integrated forest knowledge at landscape represents a promising tool to implement sustainable forest management and planning. Results and output of the platform will be shown through a short selection of practical case studies.

A GIS-BASED DECISION SUPPORT SYSTEM FOR FOREST MANAGEMENT PLANS IN TURKEY

2010 ◽  
Vol 9 (7) ◽  
pp. 929-937 ◽  
Author(s):  
Fatih Sivrikaya ◽  
Emin Zeki Baskent ◽  
Ugur Sevik ◽  
Caner Akgul ◽  
Ali Ihsan Kadiogullari ◽  
...  
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Support System ◽  
Management Plans
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