Forest Information System

Data-Driven Forestry

Zimbabwe is host to five distinct woodland types — rich, biologically diverse ecosystems under increasing pressure from settlement and agricultural expansion. Yet forests remain essential as carbon sinks, for ecological well-being and for economic development. Accurate, timely data is the foundation on which sustainable resource management is built.

Forest Cover

Five Woodland Types

Each represents a distinct ecosystem — with its own species, climate niche and ecological role.

Acacia
Miombo
Combretum / Terminalia
Mopane
Teak
Definition

What counts as deforestation?

Deforestation refers to the conversion of forest to other land uses — such as agriculture or infrastructure. Unlike net forest area change, which accounts for both gains and losses, deforestation only measures permanent conversion.

FAO, 2020
National Forest Snapshot — 2020

The numbers behind Zimbabwe’s forests

61.04% National Forest Cover As of 2020 — the share of land classified as forest
23.9M Hectares Under Forest 23,938,411.06 ha covered by woodland and bushland
262K Annual Deforestation 262,348.98 ha lost per year (1992–2017 estimate)

In 2021, Zimbabwe adopted and validated a national definition of forest — including woodland and bushland areas — bringing classification into line with land-use reality on the ground.

Classification Standards

How forest types are defined

Three precise classifications used in national reporting — each with a minimum area, tree height and canopy cover threshold.

Type 01

Woodland

  • Minimum area0.3 ha
  • Tree height≥ 5 m
  • Canopy cover≥ 10%
Type 02

Bushland

  • Minimum area0.3 ha
  • Tree height< 5 m
  • Canopy cover≥ 10%
National Study

Drivers of Deforestation & Degradation

A national study was conducted under the STZ–NDC project — Zimbabwe’s Nationally Determined Contributions — led by the Climate Change Management Department with support from UNDP and the Russian Trust Fund. The study combined satellite-image analysis with stakeholder consultations, identifying deforestation hotspots in every province, particularly in rural, resettlement and peri-urban areas.

Direct Drivers

What removes the trees

Activities that physically clear forest — ten primary causes identified across the country.

Firewood Harvesting Settlements Agriculture Wildfires Tobacco Curing Charcoal Production Brick Making Logging Overstocking Construction & Mining
Indirect Drivers

What enables it

Underlying conditions that allow direct drivers to persist — the systemic level.

01
Socio-economic

Poverty, household energy needs and livelihood pressures.

02
Legal & Tenure

Unclear or insecure land and resource tenure.

03
Environmental & Climate

Drought, fire risk and changing rainfall patterns.

04
Political

Policy direction, enforcement gaps and coordination.

The hardest to address: Settlement expansion, agriculture, mining and tobacco curing remain the most significant drivers — with mining and agriculture likely to continue due to their economic importance.
Long-term Research

Permanent Sample Plots (PSPs)

Long-term research sites established between 1994 and 1997 in gazetted forests — providing growth-and-yield data critical to sustainable forest management. Each site is remeasured every 5 years; the most recent collection was in 2021.

Original PSPs · 1994–1997

Seven gazetted forests

Gwaai Ngamo Fuller Kazuma Ungwe Mudzongwe Gwampa
New PSPs · Established 2021

Three new monitoring sites

Save Valley Conservancy Mafungabutsi Forest Ruzawi (Marondera)
Tools & Outputs

Mapping & Validation

Three flagship projects giving the Forestry Commission a clearer, more current view of national forest resources.

Biomass

Zimbabwe Biomass Map

The Mapping & Inventory Unit collaborated with the University of Edinburgh to develop a national biomass map using satellite data, estimating vegetation biomass across the country.

National coverage University of Edinburgh
Land Cover

2020 Land Cover Map

Developed using Sentinel-2 satellite imagery, interpreted and processed using Google Earth Engine’s cloud computing platform.

Sentinel-2 imagery Google Earth Engine
Validation

Field Validation Exercise

Field validation was conducted between November and December 2021, using the Open Data Kit (ODK) for data collection. Over 50,000 Collect Earth sample points were analysed to enhance map accuracy.

Nov — Dec 2021 Open Data Kit (ODK)