The Bangladesh Forest Inventory:
Results at a Glance

What is the Bangladesh Forest Inventory?

  • A national multi-purpose tree and forest monitoring system
  • Robust estimates of the status of tree and forest resources and their value as ecosystem services
  • Baseline information about natural resources in support to sustainable land management, planning, policy decisions, national and international reporting

Monitoring on the basis of 7 criteria and 47 indicators

Forest extent and tree cover change
  • Extent of trees and forests
  • Tree cover changes
Management and ownership
  • Tree and forest management types
  • Trees and forest by ownership class
  • Tree and forest product collection by ownership type
Biological diversity and conservation
  • Tree species characteristics
  • Plant diversity index of trees
  • Status of native and introduced tree species
Tree and forest disturbances
  • Disturbance area
  • Drivers of tree cover change
Tree and forest services and livelihoods
  • Quantity collected, value, and income
  • Involvement with tree and forest related activities
  • Services and benefits from trees and forest
  • Dependence on trees and forests for energy
  • Total annual income from trees and forest
Growing stock biomass and carbon
  • Growing stocks
  • Tree biomass
  • Dead biomass and fuelwood
  • Carbon
Sustainable forest management
  • Types of support received from organizations
  • Households receiving seedling support
  • Seedlings purchased by households

How we collected data

BFI Zones

Land Cover Map

  • Follows the Land Cover Classification System (LCCS) and LCML ISO 19144 standard
  • Developed with Object-Based Image Analysis (OBIA) approach
  • 33 land cover classes determined by participatory process involving multiple stakeholders
  • 1000 field data collection points

Biophysical Inventory

  • 1781 biophysical plots permanently established covering all land covers
  • 775 plots were located in croplands where soils and other data were collected.
  • Targeted national precision of ±5% and 90% confidence interval for tree resource estimates
  • Sample intensity optimized by considering cost, accessibility, and desired precision.
  • Field quality control performed on 5% of the plots
In the Hill, Sal, Coastal and Village zones one plot is composed by five sub-plots (A). In the Sundarban zone, one plot is composed by three sub-plots (B). In each subplot (C), seedling and sapling information was collected from the S plot. Trees having a Diameter at Breast Height >10 cm to 30 cm was collected from the M plot. All trees >30 cm DBH was collected from the L plot. Other Data collected in each plot were:
  • Bamboos (species, diameter, height and culm count)
  • Standing dead trees and stumps (height, diameter)
  • Down woody debris
  • Soil and litter samples
  • Crop management
  • Land feature description
  • Disturbance
  • Allometric equations are used to estimate tree volume, biomass and carbon stock based on diameter (D), height (H) and wood density (WD).
  • New equations were developed where there were no adequate existing equations. All the equations were compiled into a database.
  • A decision tree is used to determined the most appropriate equation.
  • The figure at the right shows nine equations developed at the zone level. The circles represent the relative number of existing specific equations from locations throughout Bangladesh.

Socioeconomic Survey

  • 6400 Households surveyed
  • Designed by multiple partners to compare areas of different dependence on tree and forests resources
  • Quality control performed on 4% of the total number of households sampled

The household questionnaire collected the information on:

  • demographic information
  • biodiversity and conservation
  • forest management
  • disturbances
  • economic value of primary tree and forest products and processed products
  • employment in tree and forest activities
  • HH dependence on trees and forests for energy

Key Result

  • Forest cover 12.8% of the total country area
  • When only land area is considered, forest cover is 14.1%
  • This amounts to 0.03 acres forest per person
  • Highest forest cover in the Hill and Sundarban zones

Tree cover change from 2000 to 2015

Tree cover increased 

  • Mangrove Plantation (12%)
  • Mangrove Forest (4%)

Tree cover decreased

  • Sal Forest (18%)
  • Hill Forest (8%)

Number of tree species

  • Generally, more species indicates higher diversity and more ecosystem services and resilience to climate change
  • 390 tree species were identified in the BFI
  • 9% were introduced species, mostly commonly Supari, Mahogony, Segun and Akashmoni
  • No introduced species were found in the Sundarban

Aboveground Biomass

  • Aboveground biomass is an important indicator of the quantity of trees available for fuels, food, building materials, and other commercial purposes.
  • Total national AGB of the country is 387 million tons.
  • Mango (Mangifera indica), Sundri (Heritiera fomes), and Mehagoni (Swietenia mahagoni) are the top three species by biomass.

Growing Stock

Gross tree volume by zone "million m3"

Carbon Stocks

  • Carbon stocks are important to the global carbon cycle and climate change mitigation
  • The highest carbon densities are in the Sylhet Division, especially in the soils pool
  • The largest aboveground carbon stock density occurred in the Barisal Division

Soil Carbon Stock

  • The BFI provides the first sample-based estimate of soil carbon stock in Bangladesh
  • Land management has a significant impact on carbon sequestered in soils
  • Forest soils have 38% higher carbon than other soils

Natural and Human Disturbance

  • Overall, three times more land area is disturbed by natural causes than human-made.
  • Waterlogging, flooding and pest combined to affect 24% of the total land area.
  • Landslides or erosion affects 16% of the Forest area.
  • Human caused encroachment and fire each affect 5% of the Forest area.

Services and benefits from trees and forest

  • Every household surveyed received at least one service from trees and forests
  • 65% of women, are involved with collecting primary tree and forest products
  • 54% households received medicinal benefits

Total annual income from trees and forests

  • Trees and forests contribute to only 1.29% of Gross National Income (GNI).
  • However, trees and forest provide 9% of the annual income in the Sundarban periphery.
  • Fishery products (shrimp, fish, crab) contribute to more than half the total value in the Sundarban periphery.

Economic value of primary products from trees and forests

  • The total value of primary tree and forest products collected is 3.11% of the 2017-18’s national GDP.
  • The most important are fruits, which are 45% of the total economic value
economic (2)

Value of Non Wood Forest Products collected from Forest areas

  • Many people living near forests depend on non-wood forest products.
  • The most valuable products are fruits, bamboo, honey and brooms used mainly from Hill Forests.