Spatial trade-offs between ecological and economical sustainability in the boreal production forest

Economically-oriented forestry aims to sustain timber harvest revenues, while ecologically-oriented management supplies suitable habitat for species using deadwood as primary habitat. As these objectives are conflicting, planning for economic and ecological sustainability involves compromise and trade-offs. We analyze the spatial trade-offs between the economic value from timber harvesting and the volume of deadwood in the boreal forest. We assess these trade-offs from three perspectives: (1) landscape characteristics, affected by conservation strategies; (2) forest management promoting either economic or ecological values; (3) uncertainty in inventory errors undermining the estimate of the two sustainability objectives. To reveal the tradeoffs between the forest economic and ecological values we simulated and optimized a production landscape in Finland 30 years into the future accounting for uncertainty in biomass and deadwood inventories. We found that, with a limited reduction in timber harvesting (7%), (i) the amount of deadwood increased more in non-aggregated (45%) than in aggregated (16%) stands, (ii) constraining stands in adjacent areas further increased deadwood (21%) respect to the matrix and (iii) 7% of connected stand area harbored ≥20 m³/ha deadwood supporting survival of near-threatened species. Our results demonstrate that the structure of the landscape for biodiversity can be improved with limited economic losses. However, improving habitat configuration requires larger economic losses than only increasing habitat amount, but its ecological benefits are larger both for common and red-listed species. We found that management oriented towards stand aggregation not only creates connected areas with high deadwood of high value biodiversity but also improves the value of the whole matrix by decreasing intensive timber harvesting and energy wood collection. Finally, we found that uncertainties alter the estimate of the potential of the forest landscape to supply deadwood, and this can affect the choice of management actions to allocate over the landscape. To conclude, our results demonstrate the trade-offs between economic forest use and conservation are affected differently by landscape characteristics, forest management and uncertainty in inventory errors. As such these drivers should be considered when optimizing the forest for multiple uses.

A mobile phone application for the collection of opinion data for forest planning purposes

The last 30 years has seen an increase in environmental, socio-economic, and recreational objectives being considered throughout the forest planning process. In the Finnish context these are considered mainly at the regional level potentially missing out on more local issues and problems. Such local information would be most efficiently collected with a participatory GIS approach. A mobile participatory GIS application called Tienoo was developed as a tool for collecting location-specific opinions of recreational and aesthetical characteristics of forests and forest management. The application also contains information the user can access regarding the practical details of the area, for instance about the recreational infrastructure. The application was tested in Ruunaa National Hiking Area, North Karelia, Eastern Finland. Through this application it is possible to continuously collect geolocated preference information. As a result, the collected opinions have details which can be located in both time and space. This allows for the possibility to monitor the changes in opinions when the stands are treated, and it also allows for easily analyzing the effect of time of year on the opinions. It is also possible to analyze the effect of the spatial location and the forest characteristics on the opinions using GIS analysis.

Empirical study on voting power in participatory forest planning

Multicriteria decision support systems are applied in natural resource management in order to clarify the planning process for the stakeholders, to make all available information usable and all objectives manageable. Especially when the public is involved in planning, the decision support system should be easy to comprehend, transparent and fair. Social choice theory has recently been applied to group decision-making in natural resources management to accomplish these objectives. Although voting forms the basis of democracy, and is usually taken as a fair method, the influence of voters over the outcome may vary. It is also possible to vote strategically to improve the results from each stakeholder's point of view. This study examines the use of social choice theory in revealing stakeholders' preferences in participatory forest planning, and the influence of different voters on the outcome. The positional voting rules examined were approval voting and Borda count, but both rules were slightly modified for the purposes of this study. The third rule examined, cumulative rule, resembles utilitarian voting rules. The voting rules were tested in a real participatory forest planning situation in eastern Lapland, Finland. All voting rules resulted in a different joint order of importance of the criteria. Yet, the preference orders produced had also a lot in common and the criteria could be divided into three quite distinct groups according to their importance. The influence of individual voters varied between the voting rules, and in each case different voter was the most influential.

Evaluating the management strategies of a forestland estate--the S-O-S approach

Connecting Multiple Criteria Decision Support (MCDS) methods with SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis yields analytical priorities for the factors included in SWOT analysis and makes them commensurable. In addition, decision alternatives can be evaluated with respect to each SWOT factor. In this way, SWOT analysis provides the basic frame within which to perform analyses of decision situations. MCDS methods, in turn, assist in carrying out SWOT more analytically and in elaborating the results of the analyses so that alternative strategic decisions can be prioritized also with respect to the entire SWOT. The A'WOT analysis is an example of such hybrid methods. It makes combined use of the Analytic Hierarchy Process (AHP) and SWOT. In this study, a hybrid method of the Stochastic Multicriteria Acceptability Analysis with Ordinal criteria (SMAA-O) and SWOT is developed as an elaboration of the basic ideas of A'WOT. The method is called S-O-S (SMAA-O in SWOT). SMAA-O enables the handling of ordinal preference information as well as mixed data consisting of both ordinal and cardinal information. Using SMAA-O is enough to just rank decision elements instead of giving them cardinal preference or priority ratios as required by the most commonly used MCDS methods. Using SMAA-O, in addition to analyzing what the recommended action is under certain priorities of the criteria, enables one to analyze what kind of preferences would support each action. The S-O-S approach is illustrated by a case study, where the shareholders of a forest holding owned by a private partnership prepared the SWOT analysis. Six alternative strategies for the management of their forest holding and of old cottage located on the holding were formed. After S-O-S analyses were carried out, one alternative was found to be the most recommendable. However, different importance orders of the SWOT groups would lead to different recommendations, since three of the six alternatives were efficient according to S-O-S analyses.

Applying voting theory in natural resource management: a case of multiple-criteria group decision support

Voting theory has a lot in common with utility theory, and especially with group decision-making. An expected-utility-maximising strategy exists in voting situations, as well as in decision-making situations. Therefore, it is natural to utilise the achievements of voting theory also in group decision-making. Most voting systems are based on a single criterion or holistic preference information on decision alternatives. However, a voting scheme called multicriteria approval is specially developed for decision-making situations with multiple criteria. This study considers the voting theory from the group decision support point of view and compares it with some other methods applied to similar purposes in natural resource management. A case study is presented, where the approval voting approach is introduced to natural resources planning and tested in a forestry group decision-making process. Applying multicriteria approval method was found to be a potential approach for handling some challenges typical for forestry group decision support. These challenges include (i) utilising ordinal information in the evaluation of decision alternatives, (ii) being readily understandable for and treating equally all the stakeholders in possession of different levels of knowledge on the subject considered, (iii) fast and cheap acquisition of preference information from several stakeholders, and (iv) dealing with multiple criteria.

Poliovirus surveillance by examining sewage specimens. Quantitative recovery of virus after introduction into sewerage at remote upstream location

In order to assess the feasibility of environmental poliovirus surveillance, known amounts of poliovirus type 1, strain Sabin, were flushed into the sewage network of Helsinki. Grab specimens collected at a remote downstream location and concentrated about a 100-fold revealed infectious poliovirus on four successive days in all three separate experiments. As for concentration, a simple two-phase separation method was found to be at least as useful as a several-fold more resource-demanding polyethylene glycol (PEG) precipitation method. Recovery of the introduced virus was remarkably high (more than 10%). Using the current system, it might be possible to detect poliovirus circulation in a population of 700,000 people by examining a single 400 ml sewage specimen, if 1 out of 10,000 inhabitants were excreting the virus. It is concluded that environmental surveillance is a sensitive approach to monitor silent poliovirus circulation in populations served by a sewage network.

Involvement of CPP32/Caspase-3 in c-Myc-induced apoptosis

c-Myc is a transcriptional activator implicated in the control of cell proliferation, differentiation and transformation, but is also involved in the regulation of programmed cell death, apoptosis. Despite intensive research, the molecular mechanisms by which c-Myc triggers and executes cell death remain still elusive. Here, we made use of Rat 1A MycER cells expressing a conditionally active c-Myc protein and tested first the hypothesis that ornithine decarboxylase (ODC), which is a transcriptional target of c-Myc, were a mediator of c-Myc-induced apoptosis. However, our results show that the activity of ODC is not required for the c-Myc-mediated apoptosis to occur in these cells. We also found that the expression of p53, p21waf1/cip1, Bcl-2, Bax, Bcl-xL, Bad and cyclins D1, E, A and B did not show any significant changes following c-Myc induction. But, our studies revealed that the c-Myc induced apoptosis is associated with a specific cleavage of poly(ADPribose) polymerase (PARP), suggesting that a cysteine protease of the ICE/CED-3 family is involved. Moreover, we found that the cysteine protease CPP32/Caspase-3, which is known to cleave PARP, is processed from its inactive form to an active protease composed of 17 and 12 kDa subunits; whilst Ich-1/Caspase-2 belonging to another subset of this protease family was not processed/ activated following c-Myc activation. The activation of CPP32 and apoptotic cell death were inhibited by addition of Z-VAD-fmk, a universal inhibitor of ICE-like proteases. Further, a selective inhibitor of CPP32-like proteases (Z-DEVD-fmk) partly inhibited apoptosis. These results provide evidence that the ICE/CED3-family proteases, CPP32 and likely others, play a critical role in the execution of a nuclear proto-oncogene, c-Myc-induced apoptosis.

Human ornithine decarboxylase-overproducing NIH3T3 cells induce rapidly growing, highly vascularized tumors in nude mice

Overexpression of human ornithine decarboxylase (ODC) under the control of strong promoters induces morphological transformation of immortalized NIH3T3 and Rat-1 fibroblasts [M. Auvinen et al., Nature (Lond.), 360: 355-358, 1992]. We demonstrate here that ODC-overproducing NIH3T3 cells are tumorigenic in nude mice, giving rise to rapidly growing, large fibrosarcomas at the site of inoculation. The tumors are capable of invading host fat and muscle tissues and are vascularized abundantly. To disclose the molecular mechanism(s) driving the tumorigenic, invasive, and angiogenic phenotype of the tumors, the ODC-overproducing cell lines and tumor tissues were analyzed for the expression of various potential regulators and mediators of cell proliferation, matrix degradation, and angiogenesis. The tumorigenicity of ODC transformants was associated with elevated polyamine levels and down-regulated growth factor receptors. The invasiveness of the ODC-induced tumors could not be attributed to overexpression of various known extracellular matrix-degrading proteases or matrix metalloproteinases. The induction of the tumor neovascularization proved not to be elicited by vascular endothelial growth factor or basic fibroblast growth factor. Instead, the ODC-overexpressing cells appeared to secrete a novel angiogenic factor(s) that was able to promote migration of bovine capillary endothelial cells in collagen gels and increase the proliferation of human endothelial cells in vitro. In parallel, ODC-transformed cells displayed down-regulation of thrombospondin-1 and -2, the negative regulators of angiogenesis. Thus, the induction of the angiogenic phenotype of the ODC transformants is likely due both to increased expression and secretion of the new angiogenesis-stimulating factor(s) and decreased production and release of the antiangiogenic thrombospondins.