3.1. Supply Chain
The company under study procures most of its wood from its suppliers in NW Russia. Detailed and accurate information is required from companies that deliver wood to describe the whole supply chain. The company requires its suppliers through signed commitment on legal sourcing to conform to national and international principles of sustainable development through contract terms of agreement, similarly to FSC CW risk assessment. If a supplier fails to provide clarification of the wood origin in specific areas (e.g., strictly protected forest areas (SPFAs)), the company reserves the right to reject wood or terminate the deliveries. In field audits, the company prioritizes, in order, new suppliers, suppliers delivering bigger volumes of wood than average suppliers, non-FSC certified suppliers, suppliers that constantly delay legal documentation, suppliers with more than 2 actors in their supply chain, and suppliers operating nearby high conservation value forests (HCVFs) as defined in the FSC certification standards.
The company has implemented an information system to track the origin of wood. It is incorporated into a quality assurance system following International Standard Organization (ISO) 9001 and an environmental management system (EMS) according to ISO 14001. It consists of three main elements: statement of origin, database and GIS mapping, and field verifications. A written statement of origin in the form of self-declaration from the supplier is a mandatory part of each wood supply contract. The information has the following structure: name and contact details of the supplier (seller); contract number; method of delivery; names and contact details of sub-suppliers; volume of delivered timber in m
3; GIS-based information, including location of logging sites (region, forest district, compartment, and sub-compartment); and loading terminal or port, including code number (and location of sawmill for chip suppliers). Thus, it provides explicit information on the supply chain in terms of the number of actors involved for further risk assessment and mitigation, as presented in
Table 4.
Table 4.
Supply chains according to number of actors involved (2007–2011).
Table 4.
Supply chains according to number of actors involved (2007–2011).
Actors of the Supply Chain | 2007 | 2008 | 2009 | 2010 | 2011 |
---|
N * | % | N * | % | N * | % | N * | % | N * | % |
---|
1 1 | 28 | 26 | 28 | 29 | 22 | 32 | 20 | 26 | 21 | 27 |
2 = 1 2 and/or trader | 53 | 49 | 51 | 53 | 34 | 49 | 42 | 55 | 33 | 42 |
3 = 1 3 and/or trader(s) | 23 | 21 | 17 | 18 | 10 | 14 | 12 | 16 | 22 | 28 |
4 = 1 4 and/or trader(s) | 5 | 5 | - | - | 3 | 4 | 2 | 3 | 3 | 4 |
Total | 109 | 100 | 96 | 100 | 69 | 100 | 76 | 100 | 79 | 100 |
As can be observed from
Table 4, most supply chains have at least two actors involved in the procurement of wood material. Less than 30% of supply chains involve only one company. The proportion of 3-actor supply chains increased from 21% to 28% between 2007 and 2011. Note that the total number of supply chains decreased during the study period, which was mainly associated with the shift toward bigger suppliers with bigger volumes supplied.
The company has developed a GIS system with georeferenced coordinates of the suppliers’ logging sites in NW Russia and keeps its database up to date. Changes entered into the database automatically amend the initial map. The current GIS system covers wood deliveries by rail, road, and water. Additionally, the company has a list of all the SPFAs in NW Russia, including official SPFAs and planned SPFAs without official status. The latter are better known as moratorium territories proposed to be set aside by NGOs or other environmental activists. The company declines to purchase wood from both categories of protection status, even though forest industrial companies officially allow logging on SPFAs without official status by Russian legislation. However, active concern with moratorium territories is part of National CW FSC risk assessment and is taken into account by the company in Russia [
41].
The results presented below (
Table 5) of the field audit in the Leningrad region were carried out as part of an annual auditing routine that is based on a sample similar to Annex 3 of the FSC CW standard [
42] in NW Russia. The Leningrad region was chosen for model auditing because the majority of suppliers are from this area. The audits were performed during summer 2012. Two people represented the audit team: a company specialist and an external person who was recording the audit process and its results.
Table 5.
Forest site audits at the forest management unit level.
Table 5.
Forest site audits at the forest management unit level.
N | Region | Location Forest District (lesnichestvo) | GPS Coordinates | Comp. (kvartal) * | Subcomp ** (vydel) | Area, ha | Type of Felling |
---|
1 | Leningrad | Dymovskoye | N: 61°14.627' | 16 | 1, 2, 9, 10, 11 | 26.5 | Clear-cut (sanitary) |
E: 29°21.340' |
2 | Leningrad | Dymovskoye | N: 61°08.539' | 251 | 24, 25, 26, 27 | 20.1 | Clear-cut (sanitary) |
E: 29°22.554' |
3 | Leningrad | Dymovskoye | N: 61°08.583' | 262 | 7, 13, 14, 15, 22, 28, 31, 34, 36 | 28.8 | Clear-cut (sanitary) |
E: 29°22.252' |
4 | Leningrad | Dymovskoye | N: 61°07.990' | 265 | 1 | 31.2 | Clear-cut (sanitary) |
E: 29°920.930' |
5 | Leningrad | Dymovskoye | N: 61°09.401' | 144 | 18, 24, 31 | 57.8 | Clear-cut (sanitary) |
E: 29°23.373' |
6 | Leningrad | Prigorskoye | N: 59°38.304' | 35 | 3, 9, 18 | 26.8 | Commercial thinning, 20% remove |
E: 33°34.794' |
7 | Leningrad | Prigorskoye | N: 59°38.341' | 36 | 7 | 9.0 | Commercial thinning, 15% remove |
E: 33°36.807' |
8 | Leningrad | Ozerskoye | N: 59°52.542' | 73 | 37 | 13.5 | Clear-cut |
E: 34°16.685' |
9 | Leningrad | Turgoshskoye | N: 59°23.532' | 40 | 26 | 5.6 | Commercial thinning |
E: 35°06.259' |
10 | Leningrad | Turgoshskoye | N: 59°22.957' | 40 | 58 | 6.8 | Commercial thinning |
E: 35°06.764' |
11 | Leningrad | Shugozerskoye | N: 59°55.049' | 49 | 33 | 5.5 | Commercial thinning |
E: 34°00.468' |
12 | Leningrad | Shugozerskoye | N: 59°55.440' | 50 | 30 | 4.8 | Commercial thinning |
E: 34°02.220' |
13 | Leningrad | Shugozerskoye | N: 59°54.630' | 158 | 3 | 12.6 | Clear-cut |
E: 33°55.432' |
14 | Leningrad | Shugozerskoye | N: 59°53.730' | 157 | 70, 71 | 8.2 | Clear-cut |
E: 33°54.603' |
15 | Leningrad | Shugozerskoye | N: 59°55.049' | 156 | 71 | 10.3 | Clear-cut |
E: 33°54.966' |
The 15 forest sites investigated in the Leningrad region were logged in accordance with the requirements of Russian forest legislation based on cross-verification with official documentation, and were mapped with a GIS application that verified they were not within the official SPFAs or moratorium territories.
The company performs annual field audits of its suppliers on a sample basis similarly to the FSC-accredited certification body that are responsible for third-party audits according to Annex 3 of the FSC CW standard [
42]. Each supplier is audited at least once every 5 years. In addition to regular sampling of the audits, the performance of new suppliers and suppliers with repeated non-conformities is verified as a first priority.
Table 6 represents the statistics of such audits for the procurement area of NW Russia.
Table 6.
Number and timing of field audits of the company’s suppliers.
Table 6.
Number and timing of field audits of the company’s suppliers.
Timing of the Audit | 2007 | 2008 | 2009 | 2010 | 2011 |
---|
N * | % | N * | % | N * | % | N * | % | N * | % |
---|
Delineated stand before the logging | 9 | 4 | 6 | 3 | 3 | 2 | - | - | 1 | 1 |
During logging | 115 | 50 | 70 | 31 | 35 | 26 | 46 | 30 | 62 | 36 |
After logging (before transportation) | 105 | 46 | 151 | 67 | 8 | 6 | 57 | 38 | 52 | 31 |
After logging and transportation | - | - | - | - | 89 | 66 | 49 | 32 | 55 | 32 |
Total | 229 | 100 | 227 | 100 | 135 | 100 | 152 | 100 | 170 | 100 |
According to
Table 6, the majority of the audits in 2007 and 2008 were performed during and after logging but before transportation. In 2009, most were done after logging and transportation. In 2010 and 2011, field checks were equally distributed during logging, after logging but before transportation, and after transportation. Only a few site verifications ever took place before logging. The shift in timing for logging and post-logging audits resulted from poor communication between the auditor and the suppliers. However, timing of the field audit is essential in this respect, as it is advisable to carry out the field checks during the logging operation, especially for suppliers that involve more actors in the supply chain (
Table 4).
The nonconformities identified by the auditor during the supplier’s verifications are divided into five categories: legal documentation, quality of preparation before logging, quality of logging operations, fire safety and waste handling, and work safety. The company defines the categories based on its own experience and the requirements of the FSC CW standard.
Table 7 shows the distribution of detected nonconformities according to defined categories in 2007–2011.
Table 7.
Nonconformities detected during the field verification.
Table 7.
Nonconformities detected during the field verification.
Categories of NC | 2007 | 2008 | 2009 | 2010 | 2011 |
---|
N * | % | N * | % | N * | % | N * | % | N * | % |
---|
Legal documentation | 3 | 3 | 10 | 8 | 4 | 5 | 25 | 24 | 10 | 17 |
Preparation work before logging | 10 | 9 | 17 | 14 | 22 | 27 | 7 | 7 | 11 | 18 |
Logging operations | 19 | 18 | 47 | 38 | 26 | 32 | 27 | 26 | 4 | 7 |
Fire safety & waste handling | 2 | 2 | 5 | 4 | 15 | 18 | 22 | 21 | 15 | 25 |
Work safety | 74 | 69 | 44 | 36 | 15 | 18 | 22 | 21 | 20 | 33 |
Total | 108 | 100 | 123 | 100 | 82 | 100 | 103 | 100 | 60 | 100 |
As can be observed from
Table 7, almost 70% of nonconformities in 2007 were related to work safety, whereas during 2008–2011 this figure decreased to 30% on average. At the same time, violations in relation to legal documentation increased from 3% to 17% during the 5-year period. Poor-quality preparation work increased from 9% to 18% during the same period. Quality of logging operation increased, as indicated by a decrease in the relative incidence of corresponding nonconformities from 18% to 7%. The nonconformities in terms of fire safety, waste handling, and work safety are beyond the EUTR requirements but are essential to a complete assessment of wood origin. Thus, the number of nonconformities on fire safety and waste handling increased from 2% to 25%. On the contrary, nonconformities on work safety decreased from 69% to 33%. Specific violations in terms of categories of nonconformities are presented in
Table 8.
Table 8.
Specification of noncompliance in relation to categories.
Table 8.
Specification of noncompliance in relation to categories.
Categories of NC | Type of Noncompliance | Frequency |
---|
2007 | 2008 | 2009 | 2010 | 2011 |
---|
Legal documentation | Absence of technological map | 2 | 6 | 4 | 13 | 7 |
Absence of statement of origin | 1 | 4 | -* | 7 | - |
Absence of forest declaration/agreement | - | - | - | 5 | 3 |
Preparation work before logging | Absence of logging pole | 4 | 4 | 3 | - | 4 |
Absence of data on logging pole | 6 | 13 | 3 | 5 | 4 |
Illegibility of data on logging pole | - | - | 16 | 2 | 3 |
Logging operations | Soil damage | 12 | 5 | 13 | 14 | 4 |
Absence of set-aside areas | 3 | 39 | - | - | - |
Poor quality and/or number of remaining young trees | 4 | - | - | - | - |
Absence or insufficient number of seed trees | - | 2 | 2 | 12 | - |
Exceedance of logging limits | - | 1 | - | - | - |
High stumps | - | - | 3 | - | - |
Injuries on remaining stems | - | - | 8 | - | - |
Inappropriate clearance | 1 | - | - | 1 | - |
Fire safety & waste utilization | Absence of fire extinguishing equipment | 1 | 2 | - | - | - |
Usage of inappropriate refueling equipment | - | 1 | 9 | 1 | 2 |
Industrial litter | - | 1 | 6 | 19 | 9 |
Inadequate knowledge of fire safety rules | - | 1 | - | - | 2 |
Oil spills | - | - | - | 1 | 2 |
Inappropriate machinery maintenance | - | - | - | 1 | - |
Work safety | Absence of warning sign, e.g., “Logging Ahead” | 65 | 40 | 14 | 17 | 16 |
Absence of personal safety equipment | 6 | - | - | 2 | 3 |
Disuse of personal safety equipment | 3 | 4 | 1 | 3 | 1 |
Totals | 108 | 123 | 82 | 103 | 60 |
According to
Table 8, the most frequent legal violation is the absence of a technological map at a forest site (
n = 32). For preparation work, the most frequent violation is the absence of data on the logging pole (
n = 31). Soil damage (
n = 48) is the predominant violation during logging. Littering (
n = 35) is a key violation in fire safety and waste utilization. In the work safety category, the largest problem is the absence of a warning sign (
n = 152).
Supply-level information (e.g., a single batch/load) is fully covered in transport documents and incoming invoices from suppliers. Due to a company requirement, none of the supply could be delivered without information being fully provided on transport and invoice documents.