The Arkhangelsk Region is located in the north-west of the Russian Federation, bordered to the north by the White Sea and Nenetskiy, to the east by the Komi Republic, the Karelia Republic to the west, and the Vologda Region and Kirov Region to the south. The subarctic climate of the boreal moist forest biome is characterised by cold and long winters, and short summers, which sets limits on the growing season for plants. The mean annual temperature is 1.5 ∘ C and annual precipitation around 670 mm [39]. Forest covers the largest part of the land surface with a share of about 39%, of which approximately one third is classified as IFL [40]. The coniferous spruce forests are adapted to the harsh growing conditions. With about two persons per square kilometre on average, the Arkhangelsk Region is quite sparsely populated [41]. The economy is based predominantly on timber extraction and processing, and by the beginning of the 20th century, Archangelsk was already one of the largest sawmilling regions in the world [42]. After a dip in productivity after the collapse of the Soviet Union [43], the region again has become a centre of Russian forestry [44].

The methodological framework ECOSEFFECT (ECOsystem-based assessment of Sustainability standards and their EFFECTiveness), used in this study is based on MARISCO, an adaptive and proactive conservation management tool [45, 46]. The applied method is grounded in an ecosystem approach which includes the principle that humans and their economic activities are an integral part of the global ecosystem and depend on the full functioning of ecosystems. In the case of forests and their management it becomes especially apparent that both economic and social sustainability entirely depend on the functioning of the ecosystem. For this reason we postulate a clear ‘hierarchy of sustainabilities’ reflecting that the sustainable existence and functioning of the ecosystem is a conditio sine qua non for any dependent subsystem. To justify the development and use of a sustainability standard for ecosystem management such as FSC requires proof of its effectiveness in safeguarding the ecology and the integrity of the service-provisioning system. Beneficial influences of FSC on the social and economic sphere can be important achievements, which are very much appreciated, but if short-term benefits for human well-being do not translate into potential ecological outcomes then they are irrelevant to our study (e.g., safety requirements that lead to reduced injuries of forest workers does not induce any positive impacts in the forest ecosystem [47]). Nevertheless, we fully recognize the complexity inherent in nature and its relationship with society. The evaluation of the benefits and gains made by applying certification cannot focus solely on changes in forests and forest management operations, but also requires an analytical framework that carefully considers the causal origin of outcomes [48]. ECOSEFFECT scrutinizes the human-induced threats to ecosystems and the ability of sustainability standards to reduce the resulting ecological stresses by abating the underlying drivers of negative environmental change. The human dimension, including social and economic aspects, appears in the analysis as the drivers of environmental change on the one hand and on the other hand human well-being is directly affected by the consequences of deteriorated ecosystems. The approach taken deliberately applies a systemic framework with as much of the complex situation and prevailing conditions represented as possible. It pools information from experts and stakeholders, and is an open-source, transparent knowledge sharing platform with the purpose of understanding different view-points and angles of interpretation.

A theoretical plausibility analysis was conducted according to a series of procedural steps making up the ECOSEFFECT method (Table 1) [49].

Ecosystem Diagnostics Analysis (EDA) is the first step in ECOSEFFECT and comprises a desktop assessment of available spatial data combined with quick field visitations of a designated project site or landscape. In the spatial analysis, forest cover and evidence of land cover change were examined as preparation for both the conceptualisation of the situation analysis and a field inspection. Data on annual tree cover loss between 2001 and 2014 [50] was used to look at logging patterns and to calculate tree cover loss before and during FSC certification, as well as in the forest landscape outside of FSC-certified concessions. Maps on the spatial distribution of FSC-certified forest management units (FMU) as of May 2016 [51] were processed, the issue date for each certificate holder was revised according to available certificates [52], and the dataset was clipped with annual tree cover loss [50] using the software ArcGIS [53]. In the spatial analysis, the relative year in relation to the implementation of FSC was computed. In particular, tree cover loss that occurred within a logging concession before it was FSC-certified was classified as “before FSC”. Tree cover loss classified as “during FSC” implies that the tree cover was lost while an FSC-certificate was valid. Tree cover loss in the initial and final year of certification as well as tree cover loss after FSC certification (altogether accounting for 12% of the dataset within FSC concessions) was excluded from the analysis to reduce uncertainty, as it was unclear if that particular moment of tree cover loss was recorded just before or after certification. In addition to the spatial analysis, a visitation to a forest management unit in the Vinogradovskiy district, east of Bereznik (Vaengskiy Lespromhoz LLC, Coordinates: NL 63 ∘ 05’, EL 43 ∘ 29’), was carried out on recently and formerly logged forest areas to verify the available spatial data and to discuss changes to forest structure, hydrology, and soil conditions brought about by harvesting practices with experts in the field.

A situation analysis describes the process of systemically collecting available knowledge to assess the conditions within a region of interest, including the vulnerability of biodiversity, and the complex interaction of the main drivers of change. A three-day workshop was launched in June 2014 close to the city of Arkhangelsk to conduct a situation analysis of the Arkhangelsk Region together with 16 experts affiliated to NGOs, FSC, academic research institutions, and timber companies (Table 2).

Together with the findings of the previously conducted EDA, the results of the situation analysis were visualised in a conceptual model presenting a systemic knowledge map depicting causally interlinked factors that are responsible for shaping the actual situation within the scope (Figure 1).

The systemic analysis began with the identification of the main ecosystem types and the fundamentals necessary to maintain full ecological function, the so-called key ecological attributes (KEA). Other information imported into the conceptual model include a list of aspects relating to human well-being, which is supported by ecosystem services provided by functional ecosystems on the one side, and by social services generated by social systems on the other side. Observable and also speculated environmental stresses that represent negative impacts on biodiversity were compiled as well as the contribution and interaction of the different pressures or threats that cause environmental stresses. The respective drivers of threats, called contributing factors, were also incorporated into the conceptual model. After cumulating and arranging all elements comprising the conceptual model (Table 3), the various systemic components were interlinked according to the most logical cause-effect relationships known or assumed by experts participating in the workshop in order to generate a complex and complete picture of the forests and the impacts of human interventions. The key question for this ‘backward-moving’ procedure detecting potential causality was “Where does this come from? What are the direct drivers?”.

The method described for this form of conceptual modeling relies on repeated revision and refining of the analysis by the stakeholders participating in the process based on their knowledge and assumptions, until the best possible representation of the situation is achieved. In order to determine those elements in the system that contribute most to the overall vulnerability of biodiversity, the strategic relevance of contributing factors, threats, and stresses was semi-quantitatively evaluated by the workshop participants. It presents a cumulative measure comprising criticality (including geographical scope, severity of impact, and irreversibility), dynamics (e.g., trend of change, expected future criticality), and systemic activity (in- and outgoing influence) (Table 3) applying the MARISCO rating scheme [45].

Elements rated as being highly relevant are those that should be prioritized by FSC to initiate targeted mitigation strategies and action to restore and safeguard the function of the forest environment in the long-term. The situation analysis provides the fundament for the further analysis and represents the situation of forests without FSC certification.

The PCI of the Forest Stewardship Council Standard for the Russian Federation (FSC code: FSC-STD-RUS-V6-1-2012 Russia Natural and Plantations EN, Version 6-01, 2012—FSC in the following) were strategically interpreted by classifying the 10 principles of FSC as strategic complexes that encompass a group of strategies related to a distinct thematic realm. The 56 FSC criteria were understood as strategies that are a set of activities or measures designed to deliver desirable goals and objectives. Indicators of each criterion were interpreted as activities describing specific actions or series of decisions related to a certain strategy.

In complex systems, such as ecosystems or societies, leverage points represent those locations where small interventions can induce crucial changes [54]. In this study they present points in the conceptual model where FSC criteria apply. At this point, at least one activity of a strategy addresses a specific factor and influences it in such a way as to generate one or more outcomes. The leverage points of FSC were determined by seven experts made up of representatives of WWF Russia, FSC Russia and FSC International, the Northern (Arctic) Federal University of Arkhangelsk as well as one timber company working on the conceptual model during a three-day workshop organized in April 2015 (Table 2, Figure 2).

In the same workshop experts postulated and semi-quantitatively evaluated the influence of FSC. The nature of influence of a particular strategy depends on the sufficiency, adequacy, and accuracy of activities in addressing the targeted problem or contributing factor. Whilst FSC is expected to induce positive outcomes in the environment, there remains the risk of exacerbating factors, threats, and stresses if associated strategies are found to be detrimental. Four possible scores were disseminated representing the direction and intensity of influence and ranging from one (strong and negative influence) to four (strong and positive influence) (Table 4).

The theory of change describes a process of predetermining the outcomes derived from the influence of FSC on the causally interlinked elements collected in the conceptual model. The direct influence and positive transformation of factors induced by FSC can potentially trigger a cascade of responses leading to a mitigation of anthropogenic threats and the alleviation of environmental stresses. The reformulation of contributing factors, threats and stresses was conducted in the second workshop by participating experts according to their best knowledge, by experience, and logical assumptions.

In a gap analysis, those elements in the conceptual model that remain unaddressed by FSC as well as PCI, that do not apply to the situation in the Arkhangelsk Region, were identified. Any contributing factor, threat, and environmental stress unaddressed or intensified by a strategy could potentially jeopardize the effectiveness of the certification system in achieving its ecological objectives. Potential limitations of FSC have been identified and recommendations for improving the certification system and its effectiveness were developed. This step takes into account the scope of FSC in the Arkhangelsk Region that was delineated by discussing the effective range of influence of the standard with focus on forest ecosystem management with experts.

The Arkhangelsk Region comprises an area of around 31 million hectares of which almost half is classified as forest (as of 2000) [50]. The complex ecosystem mosaic of forests, rivers and mires is fragmented by roads. Large tracts of managed forest are under FSC certification (Figure 3).

The implementation of FSC in the Arkhangelsk Region first started in 2004 with the certification of two companies encompassing around 235 thousand hectares. FSC-certified areas have been increasing up to more than 9 million hectares, leased under 41 different companies in 2016 (Figure 4).

Over the years commercial logging has reshaped the natural boreal forest ecosystem into a patchwork of checkerboard-like patterns created by systematic geometric clear-cutting (Figure 5a).

The clear-cuts appear as geometrical rectangles, and forest roads become visible as straight lines of tree cover loss, whereas larger irregular patches of tree cover loss are most likely burnt sites, but could also be the results of deforestation for mining activities. Due to the inaccessibility of remote forest areas and the absence of local population, the small and diffuse patches of tree cover loss were not referred to logging but classified as forest die-back. Examples of die-back, particularly in spruce forest, were noticed in unmanaged stands during field-trips in the neighborhood of clear-cuts. Across most of the study area, the systematic harvesting of timber brought about a distinctive ‘checkerboard’-pattern that has been steadily increasing both within and outside FSC-certified areas. [15]The consecutive, year-by-year clear-cuts add up to larger continuous clear-cuts without any substantial remaining tree cover that can be several square kilometers across (Figure 5b). Legal logging activities, also in FSC-certified logging concessions, have contributed to a considerable decrease in the extent of IFL in 2013 in comparison to 2000 and logging patterns in the example area show how the remaining IFL has been shrinking in recent years and how formerly continuous tracts of forest are now fragmented and can be prone to tree dieback (Figure 5c).

Between 2000 and 2014, almost one million hectares of forest in the Arkhangelsk Region were affected by tree cover loss, of which more than half was recorded within the concessions that were already FSC-certified or had acquired certification during this period (Figure 6).

Tree cover loss was detected in 5.35% of the total area held by companies that have been or are in the process of certification compared with 2.44% of forest that has never been under FSC-certification (Table 5).

The set of causally interrelated elements representing the situation in the Arkhangelsk Region were identified during the expert workshops and illustrated in a conceptual model (Annex 1). The ecosystem complex ‘taiga of Arkhangelsk’ is determined to be an umbrella biodiversity object encompassing 27 nested biodiversity objects. The nested objects include key species of flora and fauna within the three interacting sub-ecosystems forests, mires (ombrotrophic and mineralotrophic), and aquatic ecosystems. The diverse mosaic of forest ecosystems comprises spruce forest, aspen forest, broad-leafed forest, karst forest, dune forest, herb-rich forests and riparian forests, and supports important fauna, including soil biota as well as aquatic and semi-aquatic organisms.

The workshop participants described 21 regulating, provisioning, and cultural ecosystem services that contribute to 11 objects of human well-being classified under: health, security, materials for living, and social relationships.

The Key Ecological Attributes (KEA) consist of 11 abiotic factors relating to energy, humidity, lithosphere, wind, and temperature together with 23 biotic factors classified broadly under three categories: biomass (living and dead), information (genetic information), and networks (structures and interrelations). Biotic and abiotic factors, but particularly those attributes relating to networks and information, are found to be affected by human-induced disturbances. The lithosphere and the hydrological regime would also be impacted, but in general, abiotic KEA are considered to be less affected by the identified stresses than biotic ones.

A total of 38 contributing factors (Annex 2) cause 20 threats (Annex 3) and are believed to be responsible for inducing 32 stresses (Annex 4) in the Arkhangelsk Region.

The semi-quantitative evaluation of stresses, threats, and contributing factors by experts and stakeholders suggests that all identified and rated contributing factors are important or extremely important in increasing the overall vulnerability of the conservation objects, which is represented by high values of ‘criticality’. Contributing factors relating to governance and socio-economics, forest management, institutional capacity and knowledge as well as nature protection are assumed to be the major and persistent drivers of negative changes in the taiga of the Arkhangelsk Region. The threats that are rated highest for criticality are linked to problems of “Deforestation and forest degradation”, “Infrastructure within the forest”, the “Construction of non-forest roads”, and “Extreme weather events”. The problem of large-scale clear-cuts (“Too big size of clear-cut”), which in turn links up to “Harvesting in HCVF, including intact forests”, and “Forest infrastructure” is recorded as highly critical to the long-term security of biodiversity.

One third of all identified stresses are considered to be very critical symptoms of negative impacts. In particular, “Contamination of surface and underground water”, “Decrease of natural forest regeneration”, “Dissociation of populations - gene flow”, “Change of forest age distribution - less very old trees”, “More homogenous and contrast spatial structure”, “Diversity of forest ecosystem is reduced”, “Number of habitat is reduced”, “Vulnerable species extinction”, “Change of wood species - changed cycles”, and “Changed routes of animal migration” are rated as extremely important stresses.

Most of the rated elements are estimated to be moderately relevant. Apart from three contributing factors, none of the other factors, threats or stresses is rated as being highly relevant. Almost one fourth of all the contributing factors and less than one third of threats are recorded as being highly relevant (Figure 7).

The three most strategically relevant contributing factors identified in the workshop are linked to governance and include “Too many norms, legislations & regulations”, “Poor legislation & guidelines” as well as the institutional factor “Lack of long-term multipurpose planning”. This suggests ambiguous and contradictory legal instruments and governance, together with insufficient specifications, hamper the effective implementation of ecologically relevant legislations. The strategically most relevant threats refer to large-scale forest degradation, infrastructure, landform configuration, and climate change. Changes to the natural structure and character of habitats are considered to be the most strategically relevant stresses including “More homogenous and contrast spatial structure”, “Diversity of forest ecosystem is reduced”, and “Number of habitat is reduced”. The stated causes of natural habitat destruction given by the participants are manifold; the most important ones relate to forest management practices and the need for accessibility by roads.

According to the experts and stakeholders, FSC strategies target more than 75% of all identified contributing factors directly. Most of the contributing factors are addressed only once, but several strategies refer to the same contributing factor several times (Figure 8).

In total, 104 points in the conceptual model are leveraged on 29 different contributing factors by 39 different strategies. Two contributing factors, namely “Poor law enforcement” and “Failure to involve stakeholders”, are targeted most often and addressed by 11 different strategies. The estimated influence of the strategies ranges from weak and negative to strong and positive, whilst most strategies appear to influence contributing factors in a weak and positive way (Figure 9).

All contributing factors that are rated as being highly and very highly strategically relevant are addressed by FSC, whereas the two strategically relevant contributing factors “Inadequate government control (of nature use)” and “Mining”, as well as the two strategically less relevant factors “Wish to make quick money” and “Violations of technological regulations”, are understandably not covered by FSC (Figure 10).

Most of the strategies derived from the FSC criteria are assumed to target one or several of the contributing factors. A total of 17 strategies (including nine based on criteria describing principle 10: “Plantations”) do not target any of the threats or contributing factors in the conceptual model. Some of the strategies are seen to relate more often to certain contributing factors than others. For example, criterion 1.6 (“Long-term commitment to FSC Principles and Criteria”) is mapped most frequently and leveraged 11 factors. Three criteria, criterion 1.1 (“Respect all national & local laws and administrative requirements”), criterion 6.1 (“Complete Environmental Impact Assessment and integrate into management”), and criterion 6.2 (“Safeguards to protect rare, threatened and endangered species and their habitats; establish conservation zones and protection areas; control inappropriate hunting, fishing, trapping and collecting”), are referred to seven different contributing factors (Figure 11).

The following paragraphs present the results for the assessment of the potential outcomes of action triggered by FSC certification according to the postulated theory change (Annex 5). The scope of certification embraces the total leased area rather than including just selected sites. Consequently, all potential outcomes would have to apply to all FSC-certified logging concessions.

Within the group of contributing factors linked to governance, FSC criterion 1.1 targets each of the contributing factors relating to legislation in a positive but weak way. In theory, the negative influence attributed to strategically relevant ineffective norms and the current legislation relating to forests and forestry are supposed to be reduced. The strategically relevant factor “Corruption” is considered to be reduced by the weak but positive influence of three different FSC criteria designed to enhance the documentation of legislative requirements and long-term land-use rights. Theoretically, FSC would lead to the provision of effective and clear legislation for responsible forest management, based on the given guidelines for road and bridge construction, and the contribution to a more stringent enforcement of administrative regulations. Illegal activities, including illegal logging, are assumed to be prevented under FSC. The rights, as well as all health and safety requirements of workers are believed to be respected. All kinds of applicable payments are supposed to be documented and promptly paid. The attendance by staff on training in the proper implementation of FSC and on forest management planning would, hypothetically enhance their level of knowledge, expertise, and proficiency. The expectation would be for clear and obvious compliance with laws and international treaties ratified by the Russian Federation.

According to the experts, all factors relating to forest management would be directly influenced by various FSC criteria. As a possible outcome, the management objectives of a certified company would be defined in the long-term, at least for a minimum of five years. Poor forest management is expected to improve in certified forest companies by amending the forest management plans according to the findings of an Environmental Impact Assessment (EIA). In theory, the EIA would be conducted and a forest monitoring system would be established according to the guidelines anchored in the FSC standard. Moreover, it is assumed an economic analysis would be conducted and the findings incorporated into the forest management plan. A monitoring program is supposed to be established, being clearly documented, consistent, replicable, and regularly revised by the FSC-certified forest companies. Deviations from the management plan and discrepancies between actual and expected results would be assessed and considered in the revision of the management plan. It is presumed that transparency would be enhanced through the publication of management documents and monitoring results for certified companies, except in cases where confidentiality is required. Consequently, the quality of available information would be enhanced, including environmental, economic, and social aspects of forestry as well as improved access to information on natural resources for planning purposes. In addition, FSC is expected to deliver improvements in the availability of data on yields, growth rates, forest composition, regeneration, and changes in the composition of flora and fauna.

The analysis concludes that FSC would lead to a reduction of logging in primary or old-growth forests. In theory, FSC requires HCVF areas to be identified and considered in the planning and the implementation process of forest management operations. Stakeholders, such as local people, authorities, administrations, and forest managers would be technically consulted, especially in the frame of a social impact analysis. Land-use rights for indigenous people and their access to natural resources are requirements for companies operating under FSC. The interests of local communities extend to unrestricted access to timber and non-timber forest resources. In principle, the FSC PCI are designed to reduce the risk of disputes and grievances between local communities and commercial companies, and in part, this is achieved through an anticipated enhancement in environmental and social awareness amongst forest workers and staff by providing training, and by employing predominantly local people with strong concerns for the forest and its natural resources.

In theory, the planning and implementation of forest management under FSC takes into account international treaties as well as conventions on biodiversity conservation and protected areas. For example, the identification, monitoring, and protection of rare, threatened and endangered species, key habitats, and HCVF would be developed by researchers and in consultation with specialists and other stakeholders, and then implemented by the certified company. Thus, in theory, it is assumed that HCVF and undisturbed areas would be protected from forestry activities and buffer zones would be established around sensitive sites. Under FSC, water protection zones would be maintained and riparian areas that have been degraded by forest operations would be restored. Moreover, a network of representative examples of existing ecosystems is supposed to be established and management restrictions observed. The effectiveness of conservation measures on HCVF would be assessed annually by the certified company. Participants assume that under FSC, the annual allowable cut (AAC) is calculated sustainably. Forest operations would take account of economically inaccessible regions and areas where logging is restricted, such as in HCVF. The rationale for the calculation of AAC and planned harvesting level is expected to be provided in the management plan of FSC-certified logging companies. The financial resources needed to implement the forest management plan would be available at certified companies. As a potential result, it is postulated that forest management would be conducted according to the management plan and any negative environmental impacts due to forest operations described as “cut-and-go practice” are reduced.

FSC promotes the use of all merchantable woody resources and the diversification of utilized and processed forest products. Thus, it is assumed that a FSC-certified forest company would optimize their expenses by an effective economic analysis being incorporated into the management plan. Data on costs, productivity, and efficiency of the forest management are supposed to be collected and analyzed by FSC-certified forest companies. This is expected to result in high profitability and economic sustainability that would also contribute to stabilizing the local economy. As a theoretical result, income opportunities for the local population are enhanced by getting the chance of an employment in the forestry sector and the possibility to increase incomes of forest workers by negotiating with their employers. The illegal use of natural resources would be banned under FSC.

The changes to contributing factors by FSC are assumed to initiate a strong and positive influence on 45%, and a weak and positive influence on 30%, of the identified threats. All of the strategically least relevant threats are anticipated to have a stong influence in a positive way (Figure 12).

Half of the threats believed by the participants to be strategically relevant, in theory, are, likely to be influenced by FSC in a weak and positive way, whilst 17% are considered to be effected in a strong and positive way. For each of the targeted threats, threat-reduction-results are formulated (Annex 6). Only one of the threats, namely “Gathering of forest litter”, is assumed to be negatively influenced due to the diversification and optimal use of forest that increases the collection of forest residues. A strong and positive influence is postulated for 60% of the identified threats. The strong and positive influence of FSC is assumed to mitigate all identified threats leading to large-scale tree cover loss. In theory, the strong positive influence of FSC would reduce the size of clear-cut patches and also decrease the percentage of clear-cuttings, prevent logging in HCVF, reduce the deterioration of soil quality, avert the change of soil composition and hydro melioration, lower the excess of allowed cut during selective logging, induce selective logging without damaging trees, and foster a more sustainable use of non-timber forest products. Potentially, the identified negative impacts of infrastructure on the forest ecosystem induced by the construction of new roads and bridges would be slightly reduced. Moreover, the weak and positive influence of FSC requirements would reduce the overexploitation of timber resources and encourage negotiations as well as agreements between the certified forest company and communities about the location of pastures. Moreover, changes in the hydrological regime are supposed to be avoided, and water quality would be maintained.

The anticipated reduction of perceived threats to the forest environment is estimated to reduce almost half of all identified stresses (Annex 7). Most of the stresses are anticipated to be moderately reduced. The three most relevant stresses are expected to be influenced in a weak and positive way (Figure 13).

One single potential stress-reduction result, namely “Reduced anthropogenic forest fires”, being rated as less strategically relevant, is transformed through a strong positive influence of FSC. The presumed reduction of tree cover loss in HCVF, key habitats, and representative samples of ecosystems would contribute to a loss of habitat for forest-dwelling species in general, but forest operations and habitat degradation would continue elsewhere within the concession.

FSC certification does not specifically require the restoration of degraded forests. The homogeneity and loss of forest diversity are assumed to be reduced by the promotion of smaller and fewer clear-cuts, and retaining mature and old trees in primary forests under the FSC regime. The potential for regeneration in logged forests is supposed to be improved by supporting natural rejuvenation and retention of seed-trees. The extinction of vulnerable species and the disturbance of forest fauna would be possibly reduced where rare, threatened and endangered species and their habitats are identified and where protection or restoration measures are implemented. The intensity of flooding is supposed to be reduced by retaining or restoring riparian vegetation. The quality of water would improve thanks to reduced pollution after FSC-certification.

Four of the identified contributing factors are assumed to be out of the scope of FSC. In particular, “Mining”, “Agricultural activities”, “Global human population growth”, and “Increasing global resource demand” are neither directly nor indirectly related to forest management. Those contributing factors are not directly manageable by applying forest management strategies and are not addressed by the PCI. All identified threats, apart from the climate change related threat “Extreme weather events”, are supposed to be impacted by forest management operations and could potentially be strategically influenced by forest certification.

The gap analysis revealed that “Inadequate government control (of nature use)” and the introduction of exotic fauna, together with the disruptions they can cause to forest ecosystems, as well as “Overhunting” of animals (except for those species identified as rare, threatened or endangered) would remain unaddressed by FSC. FSC targets the negative impacts of infrastructure construction and the reduction of negative impacts of existing infrastructure on biodiversity, but only inside designated IFL.

FSC does not address forest fragmentation and isolation outside IFL and HCVF, including areas that are voluntarily spared from felling, inaccessible or unprofitable for timber extraction. According to the Russian FSC standard, timber-logging companies are not required to alter the systematic and extensive felling of trees according to the prevailing ‘checkerboard system’. Large-scale forest degradation is likely to continue unless there is active conservation planning to establish wildlife corridors at a scale appropriate for the needs of large mammals such as elk, bear, wolf and wild reindeer. Continuing with current practices in forest management, even under FSC certification, is predicted to disadvantage large mammal populations and to contribute further to ecosystem degradation. Changes in the migration routes of the larger mammals are addressed indirectly by FSC through the specifications for HCVF, representative ecosystems, and through ecological networks.

All criteria and indicators associated with principle 10 (“Plantations”) do not apply to the situation analysis, as all forestry in Arkhangelsk Oblast is carried out in primary and secondary forest landscapes. In the situation analysis, the conventional forest management scenario is described with no reference to potential conflicts between FSC PCI and national legislation. As a result, criterion 1.4 (“Conflicts between laws, regulations and the FSC Principles and Criteria shall be evaluated for the purposes of certification, on a case by case basis, by the certifiers and the involved or affected parties”) does not apply.

The matter relating to forest employees is not recognized by the workshop participants as an issue likely to affect the ecology of the forest, and this is reflected in the analysis. The specific FSC criterion 4.3 (“The rights of workers to organize and voluntarily negotiate with their employers shall be guaranteed as outlined in Conventions 87 and 98 of the International Labor Organization (ILO)”) does not address any of the threats and contributing factors in the conceptual model. Another example of non-coverage by FSC standards relates to the use of pesticides. In the case of Arkhangelsk, there is no pest management. For this reason, criterion 6.6 (“Management systems shall promote the development and adoption of environmentally friendly non-chemical methods of pest management and strive to avoid the use of chemical pesticides. World Health Organization Type 1A and 1B and chlorinated hydrocarbon pesticides; pesticides that are persistent, toxic or whose derivatives remain biologically active and accumulate in the food chain beyond their intended use; as well as any pesticides banned by international agreement, shall be prohibited. If chemicals are used, proper equipment and training shall be provided”) and criterion 6.8. (“Use of biological control agents shall be documented, minimized, monitored and strictly controlled in accordance with national laws and internationally accepted scientific protocols. Use of genetically modified organisms shall be prohibited”) do not relate to any of the threats and contributing factors recorded by the participants. Similarly, exotic species are not addressed by forest management operations in Arkhangelsk, and so, criterion 6.9. (“The use of exotic species shall be carefully controlled and actively monitored to avoid adverse ecological impacts”) is not mapped into the conceptual model. Criterion 6.10 (“Forest conversion to plantations or non-forest land uses shall not occur, except in circumstances where conversion: a) entails a very limited portion of the forest management unit; and b) does not occur on high conservation value forest areas; and c) will enable clear, substantial, additional, secure, long term conservation benefits across the forest management unit”) does not apply because forest in Arkhangelsk is logged exclusively for timber harvesting. The operational guidelines in the conventional forest management that influence the logging operations are not described in a way that allowed to map criterion 7.2. (“The management plan shall be periodically revised to incorporate the results of monitoring or new scientific and technical information, as well as to respond to changing environmental, social and economic circumstances”). Concerning matters relating to forest economics, the criterion 8.3 (“Documentation shall be provided by the forest manager to enable monitoring and certifying organizations to trace each forest product from its origin, a process known as the “chain of custody”) does not apply to the identified elements that ecologically influence the forest ecosystem.