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This publication has been produced with the assistance of the European Union. The content, findings, interpretations, and con clusions of this publication
are the sole responsibility of the FLEG II (ENPI East) Programme Team (www.enpi -fleg.org) and can in no way be taken to reflect the views of the
European Union. The views expressed do not necessarily reflect those of the Implementing Organizations.
Based on the Case Study in Pskov Region (Bezhanitsy, Kraskyi Luch, Tsevlo),
Altaisky Krai (Tyumentsevo, Volchno-Burlinskoe, Yeltsovka) and Khabarovsky Krai
(Mukhen, Sita, Sikachi-Alan)
By K.B.Gongalsky, A.S.Zaytsev and R.K.Bakkegaard
October 2014
Dependency of Russian Villages
on Forest Resources
Executive Summary of the Analytical Report
1
Forests and forest use in Russia
Forests are the main type of vegetation in Russia occupying 46.6% of its territory. Russia has the
world's largest forest resources. For 2012, the area of the forest woodland was 86501 million hectares,
and the total timber volume - 83.1 billion cubic meters, representing respectively 21.4 and 15.8% of the
world resources. Forests play an important role in the gas balance of the atmosphere and the regulation
of the global climate of the Earth. The main stocks of the Russian forests are in Siberia and the Far East,
as well as in the European North. Maximum percentage of forested area is in the Irkutsk Region and
Primorsky Krai, somewhat lower than they are in the south of Khabarovsky Krai, southern Yakutia, in
Krasnoyarsky Krai close to the Yenissey River and in the Republic of Komi, Vologda, Kostroma and
Perm regions.
Forests significantly contribute to the Russian economy as a source of wood and many raw
materials, both of plant (resin, mushrooms, berries, medicinal plants) and animal (meat, furs, beaver jet,
bear bile etc.) origin. For many Russian people forest is the main environment (Finno-Ugric, Evenki
ethnicities, etc.). For the modern Russian population forest is the most important recreational resource.
The survey procedure
Due to extensive territory of the country, the survey in Russia was conducted in three regions
with different level of forest cover. They represent contrasting geographical conditions, including the
position within the country, neighbouring countries, landscapes, infrastructure and the population
structure. They were placed evenly across the country, one in the North-West European Russia (Pskov
Region) (referred hereafter as NWR), one in the central Siberia (Altaisky Krai) (Altai), and one in the
Russian Far East (Khabarovsky Krai) (RFE).
A unified sampling design including the same sample number in each region was elaborated to
obtain the same amount of data from each of three regions. Most important criterion within a region
was that a village is situated close to or not very far from a forest. Each community must have private
houses with some piece of land (as opposed to multistorey block houses with no land for each of the
households). Within a village, random selection among available households was done, e.g. complete
random sampling was not always possible.
In each region, three types of villages were selected. They were ascribed to categories of small,
medium and large settlements based on the population of the region. In small village, 10 households
were selected, in medium one – 20 households, and in large one – 40 households. Total number of
households were 70 per region and 210 for the whole country. There were simultaneous samplings
done by different interviewers hired for this period.
All households were divided into three groups, rich, medium and poor. The criterion for
selecting medium class from poor was the presence of a car among assets. Those who have extra
machinery are ascribed to rich households.
Income share by source
In NWR, the majority of population have two major sources of income. These are “Other income”
(27%) and “Direct Forest” (28%). Among other income, there are mainly pensions of retired people.
The general demographic situation in the rural areas of NWR tends to increase elderly people while
younger are moving to the cities. Moreover, there is no work for those who stay in the villages. The
wage rate is almost negligible, 9%. So, they need to earn money indirectly by having private agricultural
activity. Many people have additional income from agriculture and livestock, totally in the region
(37%). Most of them produce potatoes and some other vegetables (carrots, red beet) and milk and eggs.
2
The population in the region do not have any businesses.
In Altai, there is a much unexpected situation: the majority of population has incomes expected
for Russian rural population overall, but several households were extremely rich. Few households are
involved into farming: they rent hundreds of hectares of land to grow potatoes, grains and keep big park
of machines. Their business income was 100-500 times higher than the mean annual income in the
village that drastically skewed the situation. Hence, below provided a description of the income
structure with these rich families excluded. The rest of the population have “Other sources” as a major
source of income (25%). “Direct Forest” was only (9%) which can be connected with a relatively low
forest cover in the region and poor forests in terms of productivity. Many people have additional
income from agriculture and livestock, totally in the region (52%). They also grow potatoes and
vegetables, some have berries. The wage rate is even lower that in NWR, 6%. This is a sign of high
unemployment and general degradation of the villages in Altai.
In RFE, the situation is somewhat similar to that in NWR. Vast majority of population depends on
“Other income” (56%) indicating that the rate of pensioners and unemployed people is extremely high.
“Direct Forest” is relatively low (11%) given high level of poverty. Not many people have additional
income from agriculture and livestock, totally in the region (23%). Many people grow potatoes and
other major vegetables: carrot, cabbage and red beet. However they produce only as much as they need
for one winter, not for sale. The wage rate is the same as in NWR, 9%. The population in the region do
not have any businesses. Unlike in Altai, people doing business are more criminalized, and would not be
interested in participating in the interviews.
Rural communities across the country are dependent on subsidies from the budget, meaning
that there are mainly pensioners living in these communities. Many people are dependent on the forest
resources due to bad economic situation, collecting mainly firewood. The latter is provided by the state
only partly, and many people have to collect it illegally. The subsistence of forest food products is not
that high since the population ensures their survival based on the agricultural products from their own
land. The regions are drastically different in amounts and kinds of products collected in the forest due
to their geographical position.
Rich people in the villages are often having their financial success due to forest products. Some
forest products important for the region are collected by “professionals” – sometimes non-local people.
Frequency and value of forest products
In NWR, people are collecting not less than 23 forest products. Four major forest products are
mushrooms, cranberries, blackberries and fuelwood (12-16% each). There are relatively few products
due to extensive bogs intermingled with forests here. Although bringing much money to the households,
bogs are not very variable in products. Fuelwood is important due to harsh winters and expensive
fuelwood provided by the state. Berries are to some extend a component of cultural traditions, and
partly used in subsistence of the families. But, from the other side, cranberries are relatively easy to
collect, and bring relatively big money during a short period of harvesting season. However, these
products are much different in economic value. Far beyond the others are cranberries, bringing almost
the half of forest income (49%). Another quarter is due to wild fruits (26%).
In Altai, there are not less than 33 forest products collected. Major three by frequency of them
are mushroom, wild strawberry (15% each) and fuelwood (11%). Above 5% are raspberries, fish and
birch broom. More products are collected by sole families. Unlike NWR, forest products by value in Altai
follow the frequency rank. Mushroom income is almost a quarter (24%), whilst strawberry and
fuelwood make another 22% with equal contributions. More valuable products collected in the forest
are honey and alcoholic beverages produced of honey and wild fruit/berries (9% and 5%, respectively),
although they are not listed among frequently collected/produced. These beverages produced by sole
3
families, mainly by men, and consumed by either these families and friends/visitors, or sold locally.
Some of them are delivered to the tourists. One product almost not represented in the diagram is pine
nuts, that are collected by sole people who are gaining lots of their income from this, as can be seen
from the focus group questionnaire. To collect tons of nuts is laborious for sole people, so they gather
into brigades.
In RFE, the variety of forest products is much bigger than in the other two regions (not less than
44). Forests in this region are among of the most productive due to biogeography and history: they have
never been glaciated, and have direct connections with the subtropics. Hence, there is a unique
combination of boreal, temporal and more southern species occurring here. Among those, mushrooms
are collected by 13% of households, and fish, fuelwood, and birch wood by 7-8% each. Mushrooms are
popular across all the country due to traditional and trophic reasons. Fish is more popular here since
there are many types of rivers, and proximity of the ocean. There are anadromous species of fish like
salmon which go upstream the rivers from the ocean to breed, which makes them an easy target. Poles,
raspberry are collected by 5-6% of households. The rest of products are hardly collected by more than
5% of families. Interestingly, only 3% of families collect sawn wood. If we compare the values of those
products, sawn wood makes up 17% as much as that by fuelwood. So, the activity of few families by
collecting various types of wood provides relatively important income. Poles (8%) and timber (9%) add
to describe wood-oriented usage of forest by rural people of RFE. In total, they get 51% of income from
wood among forest products. Fish (10%) and mushroom (12%) are the only non-wood products
contributing seriously to total value.
A B С
Value of forest products’ collection in North-West Russia (A), Altai (B), and Russian Far East (C).
Fuelwood
Fuelwood plays major role in RFE, contributing to 17% of income unlike the other two regions,
where this parameter remains at a level of 11-12%. In general, forests are collected by various ways in
different regions. In NWR, there are mainly sole collectors, while in RFE there are sometimes groups
collecting both for sale and for own families. Partly the wood collected is transferred legally or illegally
across the border, mainly to China. However, fuelwood is collected in Altai and NWR by the same 11-
12%, whilst at RFE it is collected by 7% only. Altai is not connected directly to trans-country border
(except for Kazakhstan which is not the case) and there is no such traffic of wood abroad. There are
serious constrains for collecting wood by local people since adoption of the Forest Code of the Russian
4
Federation (2006).
Cash and subsistence of forest products
Major forest product in NWR, cranberries, brings to people more than 1.6 mil RUB a year. Among
those, more than 99% is used for sale. Majority of collected berries go to resellers. This is one of the
basic products in the region. Second important product, wild fruits with above 0.8 mil RUB, is also used
mainly for sale. Only the third most important product, fuelwood, used mainly for subsistence. Any
other product is not comparable by value, but all of them are used mainly for subsistence.
In Altai, mushrooms are the only one product close to 0.5 mil RUB by income. Approximately
half of those are used for cash. None of the products produced in Altai is directed for sale abroad; except
for they are bought by resellers. Other products for sale are honey and alcoholic beverages with 120-
150 thou. RUB cash. Except for these three products, all others are used for subsistence.
Population of RFE do not gain much from the forest products. Only fuel wood and sawn wood bring 250
thou. RUB each, with majority of either product being consumed by households themselves. Sawn wood
is more used for sale. High proportion of a product for sale is for birch juice but the absolute values of
cash are rather low (less than 50 thou. RUB). In the case of RFE, the exported wood is much expected
although the collectors don’t sale it themselves. The proportion of the forest exported illegally from
RFE, is extremely high and may be as much as 80%.
RFI over income quintiles
In NWR, the poorest part of population uses forest to a very little degree. Unlike them, the
richest part receives cash from forest products in huge amounts. In the latter category, cash from forest
products overwhelms subsistence almost 10 times. The curve of forest cash has exponential increase
from poorest to richest families. In contrast, the subsistence curve increases slowly. The richest families
in NWR are rich due to forest products which are cranberries, as seen from the section above.
In Altai, the subsistence bars are always taller than that of cash. The curve of forest cash
increases from poorest to richest families. The subsistence curve increases with the approximately the
same progress, but the richest families do not get much subsistence from the forest, however they do
gain maximum cash among five quintile groups. The richest families in Altai are to some extend obtain
their income from the forest.
In RFE, the subsistence bars are always taller than that of cash, sometimes many times. The
curve of forest cash increases from poorest to richest families, although the cash income for the two
poorest quintiles is almost negligible. The richest people get extensive part of their income from the
forest. These are mainly wood products, such as sawn wood, and fuelwood. The subsistence curve
increases with the slower progress, but the richest families do not get much subsistence from the forest,
however they do gain maximum cash among five quintile groups.
RFI over asset groups
RFI curve across five groups of people ranked by wealthiness in NWR is extremely uneven.
Although the RFI varies within a rather limited interval between 0.12 and 0.22, the highest amounts
obtained for the richest quintile group. This highlights the conclusions of the section above that rich
people in NWR are rich thanks to the forest. Divided into rich, poor and medium groups, households
revealed tendencies. Rich families are rich in NRW due to collecting cranberries. For subsistence they
use some amount of berries but they are not very nutritive as potatoes or meat, hence they couldn’t
serve as the only source of food. The RFI curve has an uneven shape due to high forest income in NWR.
5
A
B
C
Cash and subsistence of forest products per AEU and Relative Forest Income (RFI) in five richness
classes in North-West Russia (A), Altai (B), and Russian Far East (C).
6
RFI curve across five groups of people ranked by wealthiness in Altai decreases from poorest to
richest. The poorest people are most dependent on the forest products. The middle class is less
dependent as compared to more wealthier people. This is probably due to higher proportion of
pensioners in the middle class. Rich families are getting much cash from the forest, mainly collecting
Siberian pine nuts. Medium class are based on low salaries, but this consumes all the time of the people
working in governmental organizations. Hence they do not have time to collect products from the
forests. RFI is decreasing with the increasing assets income in households.
RFI curve across five groups of people ranked by wealthiness in RFE decreases from poorest towards
richest. However, quintile 4 is less dependent on the forest as compared with the richest group. The
richest people obtain fuelwood and sawn wood from the forest, making essential part of their income
on this product.
Most important products
In NWR, population does not see much products decreasing, except for the main product in the
region, cranberries. In the area, this is the most valuable product, and many people try to earn as much
money as possible during the harvesting season. The season is rather short, and competition between
collectors is high. So, some of them, especially young, and non-locals, use scrapers which are much
faster to collect berries, but they damage the plants and decrease potential of these shrubs to have high
yield a year later. About other products, they do not see any increase or decrease, which may be caused
that they do not care much about those.
In Altai, two categories among four are decreasing. Fuelwood is judged to decrease due to reduced
forested area. There are cuts both legal and illegal, which decrease forests around the villages. This
results in decreasing forest products delivered by these ecosystems. There are two main products in
category 2: the villages in Altai were not consistent. Two villages indicated mushrooms, and the third
one indicated nuts. Nuts are mainly from Siberian pine, which are subsequently decreasing with the
main source of these nuts. There are people from the cities arriving to the villages to collect pine nuts,
and they sometime use harmful techniques to collect nuts. Surprisingly, mushrooms are believed to
decrease due to climatic changes. The seasons are becoming less rainy, which may have caused this
phenomenon. Surprisingly, one village voted for increasing fuelwood in local forests. There is no official
improved access rights to the forest lately, but the reason for indicating this might be a lower control.
Population at RFE see only the improvement with forest products, from categories 2 and 3. They
do not report increasing or decreasing forest availability itself but some secondary products are
increasing. Mushrooms are less collected by both locals and outsiders. The reasons could be due to
decreasing population in those villages, especially in small ones. Increasing fodder grass could be
caused by less control as well as in Altai.
Many people do recognize changes in the availability of forest resources. Since the Forest Code (2006)
decreased the number of foresters many-fold, there are fewer chances to get caught while collecting
fuelwood. However, people acknowledge the changes occurring due to climatic changes too.
There was a general demand in many villages to improve the legislative situation in Russia with
the forestry and forest use. The IUCN was believed by many people to get a chance to affect Russian
Government towards changing catastrophic legislation. This hope was one of the reasons for many to
participate in the survey.
7
About FLEG II (ENPI East) Program
The Forest Law Enforcement and Governance (FLEG) II European Neighbourhood and Partnership Instrument (ENPI) East
Countries Program supports participating countries’ forest governance. At the regional level, the Program aims to implement
the 2005 St. Petersburg FLEG Ministerial Declaration and support countries to commit to a time-bound action plan; at the
national level the Program will review or revise forest sector policies and legal and administrative structures; and improve
knowledge of and support for sustainable forest management and good forest governance in the participating countries, and at
the sub-national (local) level the Program will test and demonstrate best practices for sustainable forest management and the
feasibility of improved forest governance practices at the field-level on a pilot basis. Participating countries include Armenia,
Azerbaijan, Belarus, Georgia, Moldova, Russia, and Ukraine. The Program is funded by the European Union.
http://www.enpi-fleg.org
Project Partner
EUROPEAN COMMISSION
The European Union is the world’s largest donor of official development assistance. EuropeAid
Development and Cooperation, a Directorate General of the European Commission, is responsible for
designing European development policy and delivering aid throughout the world. EuropeAid delivers
aid through a set of financial instruments with a focus on ensuring the quality of EU aid and its
effectiveness. An active and proactive player in the development field, EuropeAid promotes good
governance, human and economic development and tackle universal issues, such as fighting hunger
and preserving natural resources.
http://ec.europa.eu/index_en.htm
WORLD BANK
The World Bank Group is one of the world’s largest sources of knowledge and funding for its 188
member-countries. The organizations that make up the World Bank Group are owned by the
governments of member nations, which have the ultimate decision-making power within the
organizations on all matters, including policy, financial or membership issues. The World Bank Group
comprises five closely associated institutions: the International Bank for Reconstruction and
Development (IBRD) and the International Development Association (IDA), which together form the
World Bank; the International Finance Corporation (IFC); the Multilateral Investment Guarantee
Agency (MIGA); and the International Centre for Settlement of Investment Disputes (ICSID). Each
institution plays a distinct role in the World Bank Group’s mission to end extreme poverty by
decreasing the percentage of people living on less than $1.25 a day to no more than 3 percent, and
promote shared prosperity by fostering the income growth of the bottom 40 percent for every country.
For additional information please visit:
http://www.worldbank.org, http://www.ifc.org, http://www.miga.org
IUCN
IUCN, International Union for Conservation of Nature, helps the world find pragmatic solutions to our
most pressing environment and development challenges. IUCN’s work focuses on valuing and
conserving nature, ensuring effective and equitable governance of its use, and deploying nature-
based solutions to global challenges in climate, food and development. IUCN supports scientific
research, manages field projects all over the world, and brings governments, NGOs, the UN and
companies together to develop policy, laws and best practice. IUCN is the world’s oldest and largest
global environmental organisation, with more than 1,200 government and NGO members and almost
11,000 volunteer experts in some 160 countries. IUCN’s work is supported by over 1,000 staff in 45
offices and hundreds of partners in public, NGO and private sectors around the world.
www.iucn.org
WWF
WWF is one of the world’s largest and most respected independent conservation organizations, with
almost 5 million supporters and a global network active in over 100 countries. WWF’s mission is to
stop the degradation of the planet’s natural environment and to build a future in which humans live in
harmony with nature, by conserving the world’s biological diversity, ensuring that the use of renewable
natural resources is sustainable, and promoting the reduction of pollution and wasteful consumption.
www.panda.org

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Dependency of Russian Villages on Forest Resources. Executive Summary of the Analytical Report

  • 1. This publication has been produced with the assistance of the European Union. The content, findings, interpretations, and con clusions of this publication are the sole responsibility of the FLEG II (ENPI East) Programme Team (www.enpi -fleg.org) and can in no way be taken to reflect the views of the European Union. The views expressed do not necessarily reflect those of the Implementing Organizations. Based on the Case Study in Pskov Region (Bezhanitsy, Kraskyi Luch, Tsevlo), Altaisky Krai (Tyumentsevo, Volchno-Burlinskoe, Yeltsovka) and Khabarovsky Krai (Mukhen, Sita, Sikachi-Alan) By K.B.Gongalsky, A.S.Zaytsev and R.K.Bakkegaard October 2014 Dependency of Russian Villages on Forest Resources Executive Summary of the Analytical Report
  • 2. 1 Forests and forest use in Russia Forests are the main type of vegetation in Russia occupying 46.6% of its territory. Russia has the world's largest forest resources. For 2012, the area of the forest woodland was 86501 million hectares, and the total timber volume - 83.1 billion cubic meters, representing respectively 21.4 and 15.8% of the world resources. Forests play an important role in the gas balance of the atmosphere and the regulation of the global climate of the Earth. The main stocks of the Russian forests are in Siberia and the Far East, as well as in the European North. Maximum percentage of forested area is in the Irkutsk Region and Primorsky Krai, somewhat lower than they are in the south of Khabarovsky Krai, southern Yakutia, in Krasnoyarsky Krai close to the Yenissey River and in the Republic of Komi, Vologda, Kostroma and Perm regions. Forests significantly contribute to the Russian economy as a source of wood and many raw materials, both of plant (resin, mushrooms, berries, medicinal plants) and animal (meat, furs, beaver jet, bear bile etc.) origin. For many Russian people forest is the main environment (Finno-Ugric, Evenki ethnicities, etc.). For the modern Russian population forest is the most important recreational resource. The survey procedure Due to extensive territory of the country, the survey in Russia was conducted in three regions with different level of forest cover. They represent contrasting geographical conditions, including the position within the country, neighbouring countries, landscapes, infrastructure and the population structure. They were placed evenly across the country, one in the North-West European Russia (Pskov Region) (referred hereafter as NWR), one in the central Siberia (Altaisky Krai) (Altai), and one in the Russian Far East (Khabarovsky Krai) (RFE). A unified sampling design including the same sample number in each region was elaborated to obtain the same amount of data from each of three regions. Most important criterion within a region was that a village is situated close to or not very far from a forest. Each community must have private houses with some piece of land (as opposed to multistorey block houses with no land for each of the households). Within a village, random selection among available households was done, e.g. complete random sampling was not always possible. In each region, three types of villages were selected. They were ascribed to categories of small, medium and large settlements based on the population of the region. In small village, 10 households were selected, in medium one – 20 households, and in large one – 40 households. Total number of households were 70 per region and 210 for the whole country. There were simultaneous samplings done by different interviewers hired for this period. All households were divided into three groups, rich, medium and poor. The criterion for selecting medium class from poor was the presence of a car among assets. Those who have extra machinery are ascribed to rich households. Income share by source In NWR, the majority of population have two major sources of income. These are “Other income” (27%) and “Direct Forest” (28%). Among other income, there are mainly pensions of retired people. The general demographic situation in the rural areas of NWR tends to increase elderly people while younger are moving to the cities. Moreover, there is no work for those who stay in the villages. The wage rate is almost negligible, 9%. So, they need to earn money indirectly by having private agricultural activity. Many people have additional income from agriculture and livestock, totally in the region (37%). Most of them produce potatoes and some other vegetables (carrots, red beet) and milk and eggs.
  • 3. 2 The population in the region do not have any businesses. In Altai, there is a much unexpected situation: the majority of population has incomes expected for Russian rural population overall, but several households were extremely rich. Few households are involved into farming: they rent hundreds of hectares of land to grow potatoes, grains and keep big park of machines. Their business income was 100-500 times higher than the mean annual income in the village that drastically skewed the situation. Hence, below provided a description of the income structure with these rich families excluded. The rest of the population have “Other sources” as a major source of income (25%). “Direct Forest” was only (9%) which can be connected with a relatively low forest cover in the region and poor forests in terms of productivity. Many people have additional income from agriculture and livestock, totally in the region (52%). They also grow potatoes and vegetables, some have berries. The wage rate is even lower that in NWR, 6%. This is a sign of high unemployment and general degradation of the villages in Altai. In RFE, the situation is somewhat similar to that in NWR. Vast majority of population depends on “Other income” (56%) indicating that the rate of pensioners and unemployed people is extremely high. “Direct Forest” is relatively low (11%) given high level of poverty. Not many people have additional income from agriculture and livestock, totally in the region (23%). Many people grow potatoes and other major vegetables: carrot, cabbage and red beet. However they produce only as much as they need for one winter, not for sale. The wage rate is the same as in NWR, 9%. The population in the region do not have any businesses. Unlike in Altai, people doing business are more criminalized, and would not be interested in participating in the interviews. Rural communities across the country are dependent on subsidies from the budget, meaning that there are mainly pensioners living in these communities. Many people are dependent on the forest resources due to bad economic situation, collecting mainly firewood. The latter is provided by the state only partly, and many people have to collect it illegally. The subsistence of forest food products is not that high since the population ensures their survival based on the agricultural products from their own land. The regions are drastically different in amounts and kinds of products collected in the forest due to their geographical position. Rich people in the villages are often having their financial success due to forest products. Some forest products important for the region are collected by “professionals” – sometimes non-local people. Frequency and value of forest products In NWR, people are collecting not less than 23 forest products. Four major forest products are mushrooms, cranberries, blackberries and fuelwood (12-16% each). There are relatively few products due to extensive bogs intermingled with forests here. Although bringing much money to the households, bogs are not very variable in products. Fuelwood is important due to harsh winters and expensive fuelwood provided by the state. Berries are to some extend a component of cultural traditions, and partly used in subsistence of the families. But, from the other side, cranberries are relatively easy to collect, and bring relatively big money during a short period of harvesting season. However, these products are much different in economic value. Far beyond the others are cranberries, bringing almost the half of forest income (49%). Another quarter is due to wild fruits (26%). In Altai, there are not less than 33 forest products collected. Major three by frequency of them are mushroom, wild strawberry (15% each) and fuelwood (11%). Above 5% are raspberries, fish and birch broom. More products are collected by sole families. Unlike NWR, forest products by value in Altai follow the frequency rank. Mushroom income is almost a quarter (24%), whilst strawberry and fuelwood make another 22% with equal contributions. More valuable products collected in the forest are honey and alcoholic beverages produced of honey and wild fruit/berries (9% and 5%, respectively), although they are not listed among frequently collected/produced. These beverages produced by sole
  • 4. 3 families, mainly by men, and consumed by either these families and friends/visitors, or sold locally. Some of them are delivered to the tourists. One product almost not represented in the diagram is pine nuts, that are collected by sole people who are gaining lots of their income from this, as can be seen from the focus group questionnaire. To collect tons of nuts is laborious for sole people, so they gather into brigades. In RFE, the variety of forest products is much bigger than in the other two regions (not less than 44). Forests in this region are among of the most productive due to biogeography and history: they have never been glaciated, and have direct connections with the subtropics. Hence, there is a unique combination of boreal, temporal and more southern species occurring here. Among those, mushrooms are collected by 13% of households, and fish, fuelwood, and birch wood by 7-8% each. Mushrooms are popular across all the country due to traditional and trophic reasons. Fish is more popular here since there are many types of rivers, and proximity of the ocean. There are anadromous species of fish like salmon which go upstream the rivers from the ocean to breed, which makes them an easy target. Poles, raspberry are collected by 5-6% of households. The rest of products are hardly collected by more than 5% of families. Interestingly, only 3% of families collect sawn wood. If we compare the values of those products, sawn wood makes up 17% as much as that by fuelwood. So, the activity of few families by collecting various types of wood provides relatively important income. Poles (8%) and timber (9%) add to describe wood-oriented usage of forest by rural people of RFE. In total, they get 51% of income from wood among forest products. Fish (10%) and mushroom (12%) are the only non-wood products contributing seriously to total value. A B С Value of forest products’ collection in North-West Russia (A), Altai (B), and Russian Far East (C). Fuelwood Fuelwood plays major role in RFE, contributing to 17% of income unlike the other two regions, where this parameter remains at a level of 11-12%. In general, forests are collected by various ways in different regions. In NWR, there are mainly sole collectors, while in RFE there are sometimes groups collecting both for sale and for own families. Partly the wood collected is transferred legally or illegally across the border, mainly to China. However, fuelwood is collected in Altai and NWR by the same 11- 12%, whilst at RFE it is collected by 7% only. Altai is not connected directly to trans-country border (except for Kazakhstan which is not the case) and there is no such traffic of wood abroad. There are serious constrains for collecting wood by local people since adoption of the Forest Code of the Russian
  • 5. 4 Federation (2006). Cash and subsistence of forest products Major forest product in NWR, cranberries, brings to people more than 1.6 mil RUB a year. Among those, more than 99% is used for sale. Majority of collected berries go to resellers. This is one of the basic products in the region. Second important product, wild fruits with above 0.8 mil RUB, is also used mainly for sale. Only the third most important product, fuelwood, used mainly for subsistence. Any other product is not comparable by value, but all of them are used mainly for subsistence. In Altai, mushrooms are the only one product close to 0.5 mil RUB by income. Approximately half of those are used for cash. None of the products produced in Altai is directed for sale abroad; except for they are bought by resellers. Other products for sale are honey and alcoholic beverages with 120- 150 thou. RUB cash. Except for these three products, all others are used for subsistence. Population of RFE do not gain much from the forest products. Only fuel wood and sawn wood bring 250 thou. RUB each, with majority of either product being consumed by households themselves. Sawn wood is more used for sale. High proportion of a product for sale is for birch juice but the absolute values of cash are rather low (less than 50 thou. RUB). In the case of RFE, the exported wood is much expected although the collectors don’t sale it themselves. The proportion of the forest exported illegally from RFE, is extremely high and may be as much as 80%. RFI over income quintiles In NWR, the poorest part of population uses forest to a very little degree. Unlike them, the richest part receives cash from forest products in huge amounts. In the latter category, cash from forest products overwhelms subsistence almost 10 times. The curve of forest cash has exponential increase from poorest to richest families. In contrast, the subsistence curve increases slowly. The richest families in NWR are rich due to forest products which are cranberries, as seen from the section above. In Altai, the subsistence bars are always taller than that of cash. The curve of forest cash increases from poorest to richest families. The subsistence curve increases with the approximately the same progress, but the richest families do not get much subsistence from the forest, however they do gain maximum cash among five quintile groups. The richest families in Altai are to some extend obtain their income from the forest. In RFE, the subsistence bars are always taller than that of cash, sometimes many times. The curve of forest cash increases from poorest to richest families, although the cash income for the two poorest quintiles is almost negligible. The richest people get extensive part of their income from the forest. These are mainly wood products, such as sawn wood, and fuelwood. The subsistence curve increases with the slower progress, but the richest families do not get much subsistence from the forest, however they do gain maximum cash among five quintile groups. RFI over asset groups RFI curve across five groups of people ranked by wealthiness in NWR is extremely uneven. Although the RFI varies within a rather limited interval between 0.12 and 0.22, the highest amounts obtained for the richest quintile group. This highlights the conclusions of the section above that rich people in NWR are rich thanks to the forest. Divided into rich, poor and medium groups, households revealed tendencies. Rich families are rich in NRW due to collecting cranberries. For subsistence they use some amount of berries but they are not very nutritive as potatoes or meat, hence they couldn’t serve as the only source of food. The RFI curve has an uneven shape due to high forest income in NWR.
  • 6. 5 A B C Cash and subsistence of forest products per AEU and Relative Forest Income (RFI) in five richness classes in North-West Russia (A), Altai (B), and Russian Far East (C).
  • 7. 6 RFI curve across five groups of people ranked by wealthiness in Altai decreases from poorest to richest. The poorest people are most dependent on the forest products. The middle class is less dependent as compared to more wealthier people. This is probably due to higher proportion of pensioners in the middle class. Rich families are getting much cash from the forest, mainly collecting Siberian pine nuts. Medium class are based on low salaries, but this consumes all the time of the people working in governmental organizations. Hence they do not have time to collect products from the forests. RFI is decreasing with the increasing assets income in households. RFI curve across five groups of people ranked by wealthiness in RFE decreases from poorest towards richest. However, quintile 4 is less dependent on the forest as compared with the richest group. The richest people obtain fuelwood and sawn wood from the forest, making essential part of their income on this product. Most important products In NWR, population does not see much products decreasing, except for the main product in the region, cranberries. In the area, this is the most valuable product, and many people try to earn as much money as possible during the harvesting season. The season is rather short, and competition between collectors is high. So, some of them, especially young, and non-locals, use scrapers which are much faster to collect berries, but they damage the plants and decrease potential of these shrubs to have high yield a year later. About other products, they do not see any increase or decrease, which may be caused that they do not care much about those. In Altai, two categories among four are decreasing. Fuelwood is judged to decrease due to reduced forested area. There are cuts both legal and illegal, which decrease forests around the villages. This results in decreasing forest products delivered by these ecosystems. There are two main products in category 2: the villages in Altai were not consistent. Two villages indicated mushrooms, and the third one indicated nuts. Nuts are mainly from Siberian pine, which are subsequently decreasing with the main source of these nuts. There are people from the cities arriving to the villages to collect pine nuts, and they sometime use harmful techniques to collect nuts. Surprisingly, mushrooms are believed to decrease due to climatic changes. The seasons are becoming less rainy, which may have caused this phenomenon. Surprisingly, one village voted for increasing fuelwood in local forests. There is no official improved access rights to the forest lately, but the reason for indicating this might be a lower control. Population at RFE see only the improvement with forest products, from categories 2 and 3. They do not report increasing or decreasing forest availability itself but some secondary products are increasing. Mushrooms are less collected by both locals and outsiders. The reasons could be due to decreasing population in those villages, especially in small ones. Increasing fodder grass could be caused by less control as well as in Altai. Many people do recognize changes in the availability of forest resources. Since the Forest Code (2006) decreased the number of foresters many-fold, there are fewer chances to get caught while collecting fuelwood. However, people acknowledge the changes occurring due to climatic changes too. There was a general demand in many villages to improve the legislative situation in Russia with the forestry and forest use. The IUCN was believed by many people to get a chance to affect Russian Government towards changing catastrophic legislation. This hope was one of the reasons for many to participate in the survey.
  • 8. 7 About FLEG II (ENPI East) Program The Forest Law Enforcement and Governance (FLEG) II European Neighbourhood and Partnership Instrument (ENPI) East Countries Program supports participating countries’ forest governance. At the regional level, the Program aims to implement the 2005 St. Petersburg FLEG Ministerial Declaration and support countries to commit to a time-bound action plan; at the national level the Program will review or revise forest sector policies and legal and administrative structures; and improve knowledge of and support for sustainable forest management and good forest governance in the participating countries, and at the sub-national (local) level the Program will test and demonstrate best practices for sustainable forest management and the feasibility of improved forest governance practices at the field-level on a pilot basis. Participating countries include Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, and Ukraine. The Program is funded by the European Union. http://www.enpi-fleg.org Project Partner EUROPEAN COMMISSION The European Union is the world’s largest donor of official development assistance. EuropeAid Development and Cooperation, a Directorate General of the European Commission, is responsible for designing European development policy and delivering aid throughout the world. EuropeAid delivers aid through a set of financial instruments with a focus on ensuring the quality of EU aid and its effectiveness. An active and proactive player in the development field, EuropeAid promotes good governance, human and economic development and tackle universal issues, such as fighting hunger and preserving natural resources. http://ec.europa.eu/index_en.htm WORLD BANK The World Bank Group is one of the world’s largest sources of knowledge and funding for its 188 member-countries. The organizations that make up the World Bank Group are owned by the governments of member nations, which have the ultimate decision-making power within the organizations on all matters, including policy, financial or membership issues. The World Bank Group comprises five closely associated institutions: the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA), which together form the World Bank; the International Finance Corporation (IFC); the Multilateral Investment Guarantee Agency (MIGA); and the International Centre for Settlement of Investment Disputes (ICSID). Each institution plays a distinct role in the World Bank Group’s mission to end extreme poverty by decreasing the percentage of people living on less than $1.25 a day to no more than 3 percent, and promote shared prosperity by fostering the income growth of the bottom 40 percent for every country. For additional information please visit: http://www.worldbank.org, http://www.ifc.org, http://www.miga.org IUCN IUCN, International Union for Conservation of Nature, helps the world find pragmatic solutions to our most pressing environment and development challenges. IUCN’s work focuses on valuing and conserving nature, ensuring effective and equitable governance of its use, and deploying nature- based solutions to global challenges in climate, food and development. IUCN supports scientific research, manages field projects all over the world, and brings governments, NGOs, the UN and companies together to develop policy, laws and best practice. IUCN is the world’s oldest and largest global environmental organisation, with more than 1,200 government and NGO members and almost 11,000 volunteer experts in some 160 countries. IUCN’s work is supported by over 1,000 staff in 45 offices and hundreds of partners in public, NGO and private sectors around the world. www.iucn.org WWF WWF is one of the world’s largest and most respected independent conservation organizations, with almost 5 million supporters and a global network active in over 100 countries. WWF’s mission is to stop the degradation of the planet’s natural environment and to build a future in which humans live in harmony with nature, by conserving the world’s biological diversity, ensuring that the use of renewable natural resources is sustainable, and promoting the reduction of pollution and wasteful consumption. www.panda.org