Integrated spatial fire and forest management planning

2010 ◽  
Vol 40 (12) ◽  
pp. 2370-2383 ◽  
Author(s):  
Mauricio A. Acuna ◽  
Cristian D. Palma ◽  
Wenbin Cui ◽  
David L. Martell ◽  
Andres Weintraub

Forest management planners usually treat potential fire loss estimates as exogenous parameters in their timber production planning processes. When they do so, they do not account for the fact that forest access road construction, timber harvesting, and silvicultural activities can alter a landscape’s vegetation or fuel composition, and they ignore the possibility that such activities may influence future fire losses. We develop an integrated fire and forest management planning methodology that accounts for and exploits such interactions. Our methodology is based on fire occurrence, suppression, and spread models, a fire protection value model that identifies crucial stands, the harvesting of which can have a significant influence on the spread of fires across the landscape, and a spatially explicit timber harvest scheduling model. We illustrate its use by applying it to a forest management unit in the boreal forest region of the province of Alberta in western Canada. We found that for our study area, integrated fire – forest management planning based on our methodology could result in an 8.1% increase in net present value when compared with traditional planning in which fire loss is treated as an exogenous factor.

2019 ◽  
Vol 49 (9) ◽  
pp. 1135-1146 ◽  
Author(s):  
Roope Ruotsalainen ◽  
Timo Pukkala ◽  
Annika Kangas ◽  
Jari Vauhkonen ◽  
Sakari Tuominen ◽  
...  

In forest management planning, errors in predicted stand attributes might lead to suboptimal decisions that result in decreased net present value (NPV). Forest inventory data will have higher value if the amount of suboptimal decisions can be decreased. Therefore, the value of information can be measured through the decrease in inoptimality losses, which are the NPV differences between the optimal and suboptimal decisions. In this study, four alternative sample plot selection strategies with different numbers of sample plots were compared in terms of expected mean inoptimality losses. Stand-level mean inoptimality losses varied between €41.1·ha–1 and €80.7·ha−1, depending on the sample plot selection strategy and the number of sample plots used as training data in the k-nearest neighbors imputation method. Mean inoptimality losses decreased substantially when the number of sample plots increased from 25 to 100, and the decreasing trend continued until 500 sample plots. Total inoptimality losses can decrease by approximately €1 million in an inventory area of 100 000 ha when the number of sample plots is increased from 100 to 500. The measurement of more sample plots can be justified as long as the field measurement costs do not exceed the decrease in inoptimality losses.


2017 ◽  
Vol 400 ◽  
pp. 542-554 ◽  
Author(s):  
Colin J. Daniel ◽  
Michael T. Ter-Mikaelian ◽  
B. Mike Wotton ◽  
Bronwyn Rayfield ◽  
Marie-Josée Fortin

2016 ◽  
Vol 46 (5) ◽  
pp. 637-644 ◽  
Author(s):  
Kyle Eyvindson ◽  
Zhuo Cheng

Deciding on a plan of action for a forest holding involves a significant amount of uncertainty. As forest planning involves the use and extraction of resources, uncertainty lies in both the future development of the forest (biological uncertainty) and the development of the market for forest-based products (economic uncertainty). Additionally, natural hazards can be a source of unexpected losses. In traditional forest management planning, the most common way to deal with uncertainty is to ignore it. Growth models are used that are assumed to be correct, and timber prices are assumed to be held constant. By ignoring the fact that these models provide only one representation of what may happen, the forest owner may get an overly optimistic (or pessimistic) view of the potential value of the forest holding. Through a stochastic programming formulation, these uncertainties can be modelled directly into the optimization formulation, and a management plan can be created that incorporates the risk preferences of the decisionmaker. This is highlighted through an example that maximizes the net present value of the holding while minimizing the conditional value at risk of obtaining a stated even flow of income.


2015 ◽  
Vol 63 (1) ◽  
pp. 151-159 ◽  
Author(s):  
Henn Korjus ◽  
Priit Põllumäe ◽  
Ahto Kangur

Abstract Changes in the society have created a need for a systematic approach in forestry combining forest management, timber harvest analysis, research and demonstration of new technologies. A research and demonstration area is an option for explaining and visualising frameworks of forest design, modelling and planning in the real nature. A research and demonstration area of forest management planning can be defined as a forested landscape that combines various forest uses and aims to ensure and explain forest management strategies as well as conservation of ecosystems and natural resources. A suitable area for creating the research and demonstration area of forest management planning is at Järvselja Training and Experimental Forest Centre in Estonia. It has naturally diverse forests and these include also habitats of several rare and endangered species and already comprise different sets of nature conservation areas. The centre has been used for forestry higher education and research for over 90 years and therefore all essential infrastructure has been developed including dormitories and lecture rooms for field training as well as different nature paths, old field experiments (e.g. initial spacing and thinning experiments) and new modern research facilities. Forest management plans and inventory data since 1922 still exist for the area. The area at Järvselja is expected to demonstrate present studies and research work in the most comprehensive way as well as the implications to forest management and the newest technologies in forest management and planning. Different systems and techniques of forest management can be studied and demonstrated to the wider public by establishing the research and demonstration area of forest management planning at Järvselja.


1999 ◽  
Vol 150 (12) ◽  
pp. 484-488 ◽  
Author(s):  
Wolf Hockenjos

Concepts of near-natural forestry are in great demand these days. Most German forest administrations and private forest enterprises attach great importance to being as «near-natural» as possible. This should allow them to make the most of biological rationalisation. The concept of near-natural forestry is widely accepted, especially by conservationists. However, it is much too early to analyse how successful near-natural forestry has been to date, and therefore to decide whether an era of genuine near-natural forest management has really begun. Despite wide-spread recognition, near-natural forestry is jeopardised by mechanised timber harvesting, and particularly by the large-timber harvester. The risk is that machines, which are currently just one element of the timber harvest will gain in importance and gradually become the decisive element. The forest would then be forced to meet the needs of machinery, not the other way round. Forests would consequently become so inhospitable that they would bear no resemblance to the sylvan image conjured up by potential visitors. This could mean taking a huge step backwards: from a near-natural forest to a forest dominated by machinery. The model of multipurpose forest management would become less viable, and the forest would become divided into areas for production, and separate areas for recreation and ecology. The consequences of technical intervention need to be carefully considered, if near-natural forestry is not to become a thing of the past.


2008 ◽  
Vol 42 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Emin Zeki Baskent ◽  
Salih Terzioğlu ◽  
Şağdan Başkaya

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 491 ◽  
Author(s):  
Matthew Russell ◽  
Stephanie Patton ◽  
David Wilson ◽  
Grant Domke ◽  
Katie Frerker

The amount of biomass stored in forest ecosystems is a result of past natural disturbances, forest management activities, and current structure and composition such as age class distributions. Although natural disturbances are projected to increase in their frequency and severity on a global scale in the future, forest management and timber harvesting decisions continue to be made at local scales, e.g., the ownership or stand level. This study simulated potential changes in natural disturbance regimes and their interaction with timber harvest goals across the Superior National Forest (SNF) in northeastern Minnesota, USA. Forest biomass stocks and stock changes were simulated for 120 years under three natural disturbance and four harvest scenarios. A volume control approach was used to estimate biomass availability across the SNF and a smaller project area within the SNF (Jeanette Project Area; JPA). Results indicate that under current harvest rates and assuming disturbances were twice that of normal levels resulted in reductions of 2.62 to 10.38% of forest biomass across the four primary forest types in the SNF and JPA, respectively. Under this scenario, total biomass stocks remained consistent after 50 years at current and 50% disturbance rates, but biomass continued to decrease under a 200%-disturbance scenario through 120 years. In comparison, scenarios that assumed both harvest and disturbance were twice that of normal levels and resulted in reductions ranging from 14.18 to 29.85% of forest biomass. These results suggest that both natural disturbances and timber harvesting should be considered to understand their impacts to future forest structure and composition. The implications from simulations like these can provide managers with strategic approaches to determine the economic and ecological outcomes associated with timber harvesting and disturbances.


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