A global research community

Understanding why
trees die.

We connect scientists across disciplines and continents to quantify, attribute and predict tree mortality in a changing world.

600+network members
60+countries represented
32open seminars

What brings us together

Forests are changing.
We need a global view.

Tree mortality is increasing in many regions, yet observations remain fragmented. ITMN brings together field ecologists, modelers, remote-sensing scientists and physiologists to build a clearer picture.

How the network works →
01

Quantify

Measure trends in tree mortality rates across biomes and scales.

02

Attribute

Identify the climatic, biological and ecological causes of tree death.

03

Predict

Improve forecasts of forest vulnerability in a changing climate.

Meet, learn, exchange

Featured seminar

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June162026 · 15:00 CEST

ITMN Seminar #32 · Online

Uncovering shifts in dryland vegetation dynamics using satellites

Dr. Paulo Bernardino

Changes in dryland ecosystems can take place gradually or abruptly. When the latter are accompanied by a regime shift to an alternate vegetation state, maintained by reinforcing feedbacks, they are hard to …

Open global evidence

Global Tree Mortality Database

Explore field observations of tree die-off, search and download records, inspect their geographic origins, or contribute new data for review.

  • 01 Search and filter observations
  • 02 Explore records on an interactive map
  • 03 Submit data and review metadata
Global observations Abstract world map with tree mortality observation locations Open database portal ↗

From the network

News & opportunities

Field note · 2026

A global ghost hunt: mapping dead trees with aerial imagery and machine learning

Researchers build a global reference dataset to make tree mortality visible from space.

Read the story ↗
Publication

New global assessment of tree mortality patterns

Read more →

Open science needs open networks

Bring your perspective
to the forest.

Whether you work in the field, with satellites, experiments or models—there is a place for you in ITMN.

Become a member →