Research Initiative

Windthrow Amazon Observatory

WAOSUE: Windthrow Amazon Observatory for Study and Understanding Ecosystems

A collaborative scientific observatory dedicated to investigating large-scale storm disturbances, quantifying rapid canopy changes, and assessing their long-term impacts on carbon dynamics across tropical forest ecosystems.

Our Mission

To study, quantify, and understand the impacts of large-scale windthrow disturbances and extreme weather events on the structural integrity, carbon dynamics, and long-term ecological resilience of the Amazon rainforest.

Research Scope

Our geographic focus spans from the critical Andean-Amazonian altitudinal gradients down to the central Amazon basin. We seamlessly integrate ground-based biometric censuses, flux tower networks, and high-resolution satellite remote sensing.

Key Objectives

  • • Monitor and map windthrow events using advanced spatial tools.
  • • Assess the cascading impacts of canopy gaps on forest succession.
  • • Champion open science by providing transparent, standardized datasets.
  • • Bridge local observational data with predictive Earth system models.
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Featured Research Overview:

Curious about our core mission and the impact of severe weather events? Check out our recent multimedia publication.

Are extreme storms reshaping the Amazon faster than we realize?

Community Discussion

Leave a comment, ask a question, or discuss our research using your GitHub account.

Our Partners & Institutional Affiliations

Scientific Background

State of the Art: Windthrows in the Amazon

A comprehensive overview of storm-driven forest disturbances, canopy gap dynamics, and their profound implications for the global carbon cycle.

Key Characteristics

  • Trigger: Severe convective storms & microbursts.
  • Impact: Snaps and uproots massive canopy trees instantly.
  • Carbon: Shifts local forest patches from net sink to source.
  • Detection: Landsat, Sentinel-2, and high-res LiDAR.

The Phenomenon & Meteorological Drivers

Windthrows (commonly referred to as blowdowns) are dramatic, severe disturbance events triggered by intense convective storms and large-scale squall lines. In the Amazon basin, these localized extreme weather systems generate powerful downbursts—sudden, violent downward drafts of air—that impact the forest canopy with devastating force.

Depending on the storm's intensity, these events can snap massive trunks or completely uproot established canopy trees, creating forest gaps that range from a few individual trees to thousands of contiguous hectares. Today, these storm-driven events are recognized as one of the primary drivers of natural tree mortality across the Neotropics.

Carbon Cycle & Climate Feedbacks

Historically, intact Amazonian forests act as a massive, continuous carbon sink, mitigating global climate change. However, the sudden and widespread tree mortality caused by large-scale windthrows instantly transfers enormous amounts of live biomass into the dead wood pool (necromass).

Over the subsequent years, as this coarse woody debris decomposes, it releases large quantities of CO₂ back into the atmosphere. This process temporarily shifts the affected forest patches from net carbon sinks to carbon sources. With climate change actively altering precipitation patterns and potentially increasing the frequency and intensity of severe storms in the Amazon, accurately quantifying this disturbance-driven carbon flux is critical for global Earth system modeling.

Forest Succession and Resilience

Despite their destructive initial impact, windthrows play an essential role in maintaining the structural complexity and biodiversity of tropical forests. The creation of large canopy gaps drastically increases light availability on the forest floor, triggering a vigorous successional response.

Fast-growing pioneer species rapidly colonize these high-light environments, initiating a dynamic recovery process that can take decades or even centuries to reach maturity. Evaluating the trajectory of this gap-phase regeneration—and comparing it across different soil types, topographies, and microclimates—provides vital insights into the long-term resilience and vulnerability of Amazonian ecosystems.

🌲 Interactive 3D Canopy Structure (LiDAR)

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Left-click and drag to rotate • Scroll to zoom • Right-click to pan

© Windthrow Inventory Database (WInD) - Urquiza-Muñoz et al., 2024 / MPI for Biogeochemistry

Modern Detection: The Wayra Approach

Traditionally, mapping these remote disturbances required extensive and difficult field campaigns. Today, observatories like WAOSUE leverage advanced remote sensing technologies—such as optical imagery from Landsat and Sentinel-2, paired with cloud-computing platforms like Google Earth Engine (e.g., our Wayra Tools)—to detect, delineate, and monitor windthrow events continuously. By combining this "eye in the sky" with rigorous ground-truthed field plots and micrometeorological flux towers, researchers can now build a comprehensive, multi-scale understanding of forest dynamics.

Foundation Literature

Primary Reference

Urquiza-Muñoz, J. D. (2025). Windthrow in the Amazon Basin: A spatio-temporal analysis of forest disturbances and their recovery. PhD Thesis. Max Planck Institute for Biogeochemistry / Friedrich Schiller University Jena.

Access Full Thesis (PDF)

Negrón-Juárez, R. I., Chambers, J. Q., Guimaraes, G., Zeng, H., Raupp, C. F. M., Ribeiro, G. H. P. M., ... & Higuchi, N. (2010). Widespread Amazon forest tree mortality from a single cross-basin squall line event. Geophysical Research Letters, 37(16).

Magnabosco Marra, D., Chambers, J. Q., Higuchi, N., Trumbore, S. E., Ribeiro, G. H. P. M., Dos Santos, J., ... & Wirth, C. (2014). Large-scale wind disturbances promote tree diversity in a Central Amazon forest. PLoS One, 9(8), e103723.

Espírito-Santo, F. D., Gloor, M., Keller, M., Malhi, Y., Saatchi, S., Nelson, B., ... & Phillips, O. L. (2014). Size and frequency of natural forest disturbances and the Amazon forest carbon balance. Nature Communications, 5(1), 3434.

Artificial Intelligence

Windthrow Expert AI

Ask questions directly to our AI assistant. It has been trained exclusively on WAOSUE's collection of scientific papers, thesis documents, and peer-reviewed literature regarding Amazonian windthrows.

Interactive Spatial Data

Wayra Tools: Windthrow Monitoring

Inspired by Wayra—the Quechua word for wind—these tools allow you to explore continuous monitoring dashboards visualizing storm-driven disturbance events across the Amazon.

Advanced Statistical Dashboard

Dive deeper into temporal disturbance trends, mortality censuses, and statistical modeling using our dedicated Shiny Application.

Launch Shiny App

Amazon Windthrow Explorer

Explore interactive spatial layers mapping forest disturbance and recovery dynamics across our primary study regions.

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Wayra Windthrow Observatory

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Micrometeorology & Carbon Exchange

Flux Tower Networks

Monitoring tropical ecosystem carbon exchange, Solar-Induced Fluorescence (SIF), Gross Primary Production (GPP), and Net Ecosystem Exchange (NEE) across the Amazon Basin and transition zones.

PanAmazoniaFlux

Coordinating regional research initiatives and flux tower sites across the wider Amazon basin to capture long-term meteorological trends, carbon cycling, and the impact of severe weather events on forest recovery.

  • 📍 Coverage: Amazon Basin ecosystem
  • 📊 Instruments: Ground-based SIF sensors, Eddy Covariance towers

AndesFlux

Focusing on ecosystem functioning along critical Andean-Amazonian elevation gradients, studying the complex atmospheric exchanges, moisture transport, and carbon dynamics in these vital transition zones.

  • 📍 Coverage: Andean-Amazonian gradient
  • 🔬 Focus: Topographic and altitudinal influence on ecosystem exchange

Open Science

Study Sites & Datasets

Explore our network of monitoring locations and access our permanently hosted, open-access research data.

Interactive Field Plot & Sensor Map

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Locations of our field plots, flux towers, and active windthrow disturbance monitoring sites.

Windthrow Disturbance Dataset

DOI: 10.5281/zenodo.11168104
Access Data on Zenodo

This complete repository contains ground-truthed field metrics, high-resolution canopy gap mapping data, and time-series disturbance records collected across our primary Amazonian study plots.

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Literature

Recent Publications

Selected peer-reviewed articles generated by WAOSUE researchers.

Our People

Researchers & Network

Founders

Jose David Urquiza Muñoz

Jose David Urquiza Muñoz

Principal Investigator & Founder

Forest Inventory • Data Science • Remote Sensing

Faculty member and researcher at Universidad Nacional de la Amazonía Peruana, leading the forest attributes laboratory. Research affiliate with the Max Planck Institute for Biogeochemistry.

UNAP Max Planck Institute for Biogeochemistry
Susan Trumbore

Susan Trumbore

Co-Founder

Atmosphere Science

Director at the Max Planck Institute for Biogeochemistry and Professor of Earth System Science at the University of California, Irvine. Dedicated to understanding ecosystem dynamics and global carbon cycling.

Max Planck Institute for Biogeochemistry UC Irvine
Daniel Magnabosco Marra

Daniel Magnabosco Marra

Co-Founder

Forest Inventory • Data Science

Project Leader at the Max Planck Institute for Biogeochemistry and Researcher at INPA. Specializing in tropical forest disturbance, mortality events, and large-scale windthrow recovery processes.

Max Planck Institute for Biogeochemistry INPA Brazil
Robinson Negron

Robinson Negrón-Juárez

Co-Founder

Atmosphere Science • Data Science

Research Scientist at Lawrence Berkeley National Laboratory (LBNL). Expert in spatial analysis and climate sciences supporting Amazonian ecosystem observations and meteorological interactions.

Berkeley Lab (LBNL)

Collaborators

WAOSUE works closely with a network of international scientists and data specialists.

Luciano Emmert
Luciano Emmert

Research Collaborator

Forest Inventory • Data Science

Max Planck Institute for Biogeochemistry
Rodil Tello
Rodil Tello

Research Collaborator

Forest Inventory

UNAP
Jorge Solignac
Jorge Solignac

Research Collaborator

Forest Inventory

UNAP
Waldemar Alegria
Waldemar Alegria

Research Collaborator

Forest Inventory

UNAP
Adriana Simonetti Lopes Peixoto
Adriana Simonetti Lopes Peixoto

Research Collaborator

Drone Survey

INPA
Santiago Botia
Santiago Botia

Research Collaborator

Atmosphere & Data Science

Max Planck Institute for Biogeochemistry
Michael Vasquez
Michael Vasquez

Research Collaborator

Drone Survey

UNAP Frankfurt Zoological Society
Jhostin Rengifo
Jhostin Rengifo

Research Collaborator

Drone Survey

UNAP
Roy Rubio
Roy Rubio

Research Collaborator

Drone Survey

UNAP
Segundo Cordoba
Segundo Cordoba

Research Collaborator

Forest Inventory

UNAP