ArticleProceedings of the National Academy of Sciences of the United States of America2022
Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration.Science advances · 2026Pooled it
- Unraveling Spatiotemporal Heterogeneity and Driving Mechanism of Vegetation Recovery in Co-Seismic Landslide Areas via Nonlinear Trajectories and Bayesian Networks.Ecology and evolution · 2026Article
- Unprecedented Amazonian rainforests damage during the 2023-2024 droughts.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change.Nature plants · 2026Article
- Pantropical moist forests are converging towards a middle leaf longevity.Nature communications · 2026Article
- Congo Basin Carbon Cycle Responses to Global Change.Global change biology · 2026Review
- Land use-induced soil carbon loss in the dry tropics nearly offsets gains in northern lands.Nature communications · 2025Article
- How accurately does L band vegetation optical depth predict aboveground biomass?International journal of applied earth observation and geoinformation : ITC journal · 2025Article
- Human influence on Amazon's aboveground carbon dynamics intensified over the last decade.Nature communications · 2025Article
- IB-AGC: Annual 25 km global live biomass carbon product from SMOS L-band passive microwave vegetation optical depth.Scientific data · 2025Article
- Global evidence for a positive relationship between tree species richness and ecosystem photosynthesis.Nature plants · 2025Article
- Large live biomass carbon losses from droughts in the northern temperate ecosystems during 2016-2022.Nature communications · 2025Article
- Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023.National science review · 2024Article
- Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains.Global change biology · 2023Article
- Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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17 authors.
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Abstract
The 2015/16 El Niño brought severe drought and record-breaking temperatures in the tropics. Here, using satellite-based L-band microwave vegetation optical depth, we mapped changes of above-ground biomass (AGB) during the drought and in subsequent years up to 2019. Over more than 60% of drought-affected intact forests, AGB reduced during the drought, except in the wettest part of the central Amazon, where it declined 1 y later. By the end of 2019, only 40% of AGB reduced intact forests had fully recovered to the predrought level. Using random-forest models, we found that the magnitude of AGB losses during the drought was mainly associated with regionally distinct patterns of soil water deficits and soil clay content. For the AGB recovery, we found strong influences of AGB losses during the drought and of [Formula: see text]. [Formula: see text] is a parameter related to canopy structure and is defined as the ratio of two relative height (RH) metrics of Geoscience Laser Altimeter System (GLAS) waveform data-RH25 (25% energy return height) and RH100 (100% energy return height; i.e., top canopy height). A high [Formula: see text] may reflect forests with a tall understory, thick and closed canopy, and/or without degradation. Such forests with a high [Formula: see text] ([Formula: see text] ≥ 0.3) appear to have a stronger capacity to recover than low-[Formula: see text] ones. Our results highlight the importance of forest structure when predicting the consequences of future drought stress in the tropics.
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