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Resistance of African tropical forests to an extreme climate anomaly.

ABSTRACT: The responses of tropical forests to environmental change are critical uncertainties in predicting the future impacts of climate change. The positive phase of the 2015-2016 El Niño Southern Oscillation resulted in unprecedented heat and low precipitation in the tropics with substantial impacts on the global carbon cycle. The role of African tropical forests is uncertain as their responses to short-term drought and temperature anomalies have yet to be determined using on-the-ground measurements. African tropical forests may be particularly sensitive because they exist in relatively dry conditions compared with Amazonian or Asian forests, or they may be more resistant because of an abundance of drought-adapted species. Here, we report responses of structurally intact old-growth lowland tropical forests inventoried within the African Tropical Rainforest Observatory Network (AfriTRON). We use 100 long-term inventory plots from six countries each measured at least twice prior to and once following the 2015-2016 El Niño event. These plots experienced the highest temperatures and driest conditions on record. The record temperature did not significantly reduce carbon gains from tree growth or significantly increase carbon losses from tree mortality, but the record drought did significantly decrease net carbon uptake. Overall, the long-term biomass increase of these forests was reduced due to the El Niño event, but these plots remained a live biomass carbon sink (0.51 ± 0.40 Mg C ha-1 y-1) despite extreme environmental conditions. Our analyses, while limited to African tropical forests, suggest they may be more resistant to climatic extremes than Amazonian and Asian forests.

SUBMITTER: Bennett AC

PROVIDER: S-EPMC8166131 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Resistance of African tropical forests to an extreme climate anomaly.

Bennett Amy C AC Dargie Greta C GC Cuni-Sanchez Aida A Tshibamba Mukendi John J Hubau Wannes W Mukinzi Jacques M JM Phillips Oliver L OL Malhi Yadvinder Y Sullivan Martin J P MJP Cooper Declan L M DLM Adu-Bredu Stephen S Affum-Baffoe Kofi K Amani Christian A CA Banin Lindsay F LF Beeckman Hans H Begne Serge K SK Bocko Yannick E YE Boeckx Pascal P Bogaert Jan J Brncic Terry T Chezeaux Eric E Clark Connie J CJ Daniels Armandu K AK de Haulleville Thales T Djuikouo Kamdem Marie-Noël MN Doucet Jean-Louis JL Evouna Ondo Fidèle F Ewango Corneille E N CEN Feldpausch Ted R TR Foli Ernest G EG Gonmadje Christelle C Hall Jefferson S JS Hardy Olivier J OJ Harris David J DJ Ifo Suspense A SA Jeffery Kathryn J KJ Kearsley Elizabeth E Leal Miguel M Levesley Aurora A Makana Jean-Remy JR Mbayu Lukasu Faustin F Medjibe Vincent P VP Mihindu Vianet V Moore Sam S Nssi Begone Natacha N Pickavance Georgia C GC Poulsen John R JR Reitsma Jan J Sonké Bonaventure B Sunderland Terry C H TCH Taedoumg Hermann H Talbot Joey J Tuagben Darlington S DS Umunay Peter M PM Verbeeck Hans H Vleminckx Jason J White Lee J T LJT Woell Hannsjoerg H Woods John T JT Zemagho Lise L Lewis Simon L SL

Proceedings of the National Academy of Sciences of the United States of America 20210501 21

The responses of tropical forests to environmental change are critical uncertainties in predicting the future impacts of climate change. The positive phase of the 2015-2016 El Niño Southern Oscillation resulted in unprecedented heat and low precipitation in the tropics with substantial impacts on the global carbon cycle. The role of African tropical forests is uncertain as their responses to short-term drought and temperature anomalies have yet to be determined using on-the-ground measurements. ...[more]

PMID: 34001597

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Project description:Structurally intact tropical forests sequestered about half of the global terrestrial carbon uptake over the 1990s and early 2000s, removing about 15 per cent of anthropogenic carbon dioxide emissions1-3. Climate-driven vegetation models typically predict that this tropical forest 'carbon sink' will continue for decades4,5. Here we assess trends in the carbon sink using 244 structurally intact African tropical forests spanning 11 countries, compare them with 321 published plots from Amazonia and investigate the underlying drivers of the trends. The carbon sink in live aboveground biomass in intact African tropical forests has been stable for the three decades to 2015, at 0.66 tonnes of carbon per hectare per year (95 per cent confidence interval 0.53-0.79), in contrast to the long-term decline in Amazonian forests6. Therefore the carbon sink responses of Earth's two largest expanses of tropical forest have diverged. The difference is largely driven by carbon losses from tree mortality, with no detectable multi-decadal trend in Africa and a long-term increase in Amazonia. Both continents show increasing tree growth, consistent with the expected net effect of rising atmospheric carbon dioxide and air temperature7-9. Despite the past stability of the African carbon sink, our most intensively monitored plots suggest a post-2010 increase in carbon losses, delayed compared to Amazonia, indicating asynchronous carbon sink saturation on the two continents. A statistical model including carbon dioxide, temperature, drought and forest dynamics accounts for the observed trends and indicates a long-term future decline in the African sink, whereas the Amazonian sink continues to weaken rapidly. Overall, the uptake of carbon into Earth's intact tropical forests peaked in the 1990s. Given that the global terrestrial carbon sink is increasing in size, independent observations indicating greater recent carbon uptake into the Northern Hemisphere landmass10 reinforce our conclusion that the intact tropical forest carbon sink has already peaked. This saturation and ongoing decline of the tropical forest carbon sink has consequences for policies intended to stabilize Earth's climate.

Dataset Information

Resistance of African tropical forests to an extreme climate anomaly.

Publications

Resistance of African tropical forests to an extreme climate anomaly.

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