{"id":463445,"date":"2026-08-16T13:02:55","date_gmt":"2026-08-16T20:02:55","guid":{"rendered":"https:\/\/climatescience.press\/?p=463445"},"modified":"2026-08-16T13:02:57","modified_gmt":"2026-08-16T20:02:57","slug":"satellite-data-show-tropical-forests-react-differently-to-climate-across-continents","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=463445","title":{"rendered":"Satellite Data Show Tropical Forests React Differently to Climate Across Continents"},"content":{"rendered":"\n
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AI generated by Grok<\/figcaption><\/figure>\n\n\n\n

Satellite data from NASA\u2019s GEDI mission show that tropical forests on different continents respond differently to climate factors such as temperature and aridity, with effects further modified by soils, topography, and other local conditions.<\/strong><\/p>\n\n\n\n

In a 2026 Nature study (\u201cHeterogeneous climatic controls on tropical-forest biomass\u201d), researchers affiliated with the Smithsonian Tropical Research Institute (STRI)<\/strong>, the University of Maryland<\/strong>, NASA<\/strong>, and a Brazilian university analyzed roughly 16 million 2020 GEDI spaceborne LiDAR estimates of aboveground biomass (AGB) in intact lowland forests of the Amazon, Congo Basin, and Southeast Asia.<\/p>\n\n\n\n

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GEDI (Global Ecosystem Dynamics Investigation)<\/strong> is a full-waveform LiDAR instrument developed by NASA Goddard Space Flight Center and the University of Maryland. It is mounted on the International Space Station (ISS) and provides high-resolution, dense sampling of Earth\u2019s 3D surface structure\u2014especially forest canopy height, vertical structure, and topography\u2014between approximately 51.6\u00b0 N and 51.6\u00b0 S latitude.<\/p>\n\n\n\n

GEDI is an active remote-sensing system<\/strong> that fires short pulses of near-infrared laser light (wavelength 1064 nm)<\/strong> toward Earth. <\/p>\n\n\n\n

The light reflects off vegetation, the ground, and other surfaces. An onboard telescope collects the returning photons, which are converted into electronic signals and recorded as a function of time. This produces a full waveform\u2014a continuous vertical profile of reflected energy rather than discrete points.<\/p>\n\n\n\n

GEDI remains one of the highest-resolution and densest-sampling spaceborne LiDAR systems ever flown for vegetation and topography.<\/p>\n\n\n\n

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Key findings<\/strong><\/p>\n\n\n\n

Higher temperatures were generally linked to lower biomass, but sensitivity varied sharply by region: Congo Basin forests were the most sensitive (e.g., roughly 27.6 Mg\/ha AGB decline associated with temperature increases in reported analyses), Amazonian forests moderately sensitive (~11 Mg\/ha), and Southeast Asian forests relatively insensitive (~0.1 Mg\/ha).<\/p>\n\n\n\n

Water limitation\/aridity had the strongest negative effects in Southeast Asia (strong biomass declines in more arid sites). Amazonian forests often showed peak biomass at intermediate aridity; African forests were relatively insensitive. Effects of temperature and drought anomalies intensified with overall aridity and interacted with soils and landscape features.<\/p>\n\n\n\n

In the tallest forests (trees >70 m), storms (lightning and windthrow) emerged as a major negative driver of biomass.<\/p>\n\n\n\n

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These patterns help resolve earlier conflicting results from plot-based or regional studies: the differences largely reflect real biological and historical variation rather than just methodological inconsistencies. Africa\u2019s drier evolutionary\/climatic history, Southeast Asia\u2019s wetter history, and the distinct trajectories of the Americas have shaped species composition and climate responses that persist today.<\/p>\n\n\n\n

Co-author Helene Muller-Landau (STRI) noted that the study \u201cdefinitively shows that tropical forests on different continents respond differently to climate,\u201d consistent with enduring legacies of historical climates and evolutionary paths. Lead author Matheus Henrique Nunes emphasized that global analyses alone are insufficient because effects are highly context-dependent, underscoring the need for local expertise and data.<\/p>\n\n\n\n

The results improve predictions of how tropical forests (which store ~40% of global forest carbon) may respond to ongoing climate change and highlight that resilience and vulnerability vary substantially even among intact forests. Networks of standardized ground plots (e.g., GEO-TREES) will remain important for validating satellite biomass estimates.<\/p>\n\n\n\n

The paper is available via the DOI 10.1038\/s41586-026-10880-2; press coverage from STRI\/Smithsonian and the University of Maryland provides accessible summaries of the work.<\/p>\n\n\n\n

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Heterogeneous climatic controls on tropical-forest biomass<\/strong><\/p>\n\n\n\n

Heterogeneous climatic controls on tropical-forest biomass is a 2026 Nature paper (published 12 August 2026; DOI: 10.1038\/s41586-026-10880-2<\/a>) led by Matheus Henrique Nunes (University of Maryland \/ NASA GEDI), with co-authors including Helene C. Muller-Landau (Smithsonian Tropical Research Institute), Eric Bastos G\u00f6rgens, Adri\u00e1n Pascual, and Ralph Dubayah.<\/p>\n\n\n\n

The study analyzed ~16 million spaceborne LiDAR-derived estimates of aboveground biomass (AGB) for 2020 from NASA\u2019s Global Ecosystem Dynamics Investigation (GEDI) mission<\/strong>. It focused on intact lowland tropical forests in three major regions: the Amazon, the Congo Basin, and Southeast Asia<\/strong>.<\/p>\n\n\n\n

Key results show that climatic associations with AGB are heterogeneous and strongly context-dependent<\/strong>:<\/p>\n\n\n\n