A new data-driven map predicts substantial undocumented peatland areas in Amazonia

Tropical peatlands are among the most carbon-dense terrestrial ecosystems yet recorded. Collectively, they comprise a large but highly uncertain reservoir of the global carbon cycle, with wide-ranging estimates of their global area (441 025–1700 000 km 2 ) and below-ground carbon storage (105–288 Pg...

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Vydané v:Environmental research letters Ročník 19; číslo 9; s. 94019 - 94032
Hlavní autori: Hastie, Adam, Householder, J Ethan, Honorio Coronado, Eurídice N, Hidalgo Pizango, C Gabriel, Herrera, Rafael, Lähteenoja, Outi, de Jong, Johan, Winton, R Scott, Aymard Corredor, Gerardo A, Reyna, José, Montoya, Encarni, Paukku, Stella, Mitchard, Edward T A, Åkesson, Christine M, Baker, Timothy R, Cole, Lydia E S, Córdova Oroche, César J, Dávila, Nállarett, Águila, Jhon Del, Draper, Frederick C, Fluet-Chouinard, Etienne, Grández, Julio, Janovec, John P, Reyna, David, W Tobler, Mathias, Del Castillo Torres, Dennis, Roucoux, Katherine H, Wheeler, Charlotte E, Fernandez Piedade, Maria Teresa, Schöngart, Jochen, Wittmann, Florian, van der Zon, Marieke, Lawson, Ian T
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.09.2024
Predmet:
Amazonia
Anthropogenic factors
Carbon
Carbon cycle
Carbon sequestration
Climate change
Confidence intervals
data-driven modelling
ENVIRONMENTAL SCIENCES
Human influences
peat
Peatlands
Remote sensing
River basins
Seasonal variations
Terrestrial ecosystems
tropical peatlands
Uncertainty
wetlands
Bolivia
ISSN:1748-9326, 1748-9326
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Popis
Shrnutí:Tropical peatlands are among the most carbon-dense terrestrial ecosystems yet recorded. Collectively, they comprise a large but highly uncertain reservoir of the global carbon cycle, with wide-ranging estimates of their global area (441 025–1700 000 km 2 ) and below-ground carbon storage (105–288 Pg C). Substantial gaps remain in our understanding of peatland distribution in some key regions, including most of tropical South America. Here we compile 2413 ground reference points in and around Amazonian peatlands and use them alongside a stack of remote sensing products in a random forest model to generate the first field-data-driven model of peatland distribution across the Amazon basin. Our model predicts a total Amazonian peatland extent of 251 015 km 2 (95th percentile confidence interval: 128 671–373 359), greater than that of the Congo basin, but around 30% smaller than a recent model-derived estimate of peatland area across Amazonia. The model performs relatively well against point observations but spatial gaps in the ground reference dataset mean that model uncertainty remains high, particularly in parts of Brazil and Bolivia. For example, we predict significant peatland areas in northern Peru with relatively high confidence, while peatland areas in the Rio Negro basin and adjacent south-western Orinoco basin which have previously been predicted to hold Campinarana or white sand forests, are predicted with greater uncertainty. Similarly, we predict large areas of peatlands in Bolivia, surprisingly given the strong climatic seasonality found over most of the country. Very little field data exists with which to quantitatively assess the accuracy of our map in these regions. Data gaps such as these should be a high priority for new field sampling. This new map can facilitate future research into the vulnerability of peatlands to climate change and anthropogenic impacts, which is likely to vary spatially across the Amazon basin.
Bibliografia:ERL-116630.R3
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Leverhulme Trust
Gordon and Betty Moore Foundation (GBMF)
North American Electric Reliability Corporation (NERC)
USDOE
National Science Foundation (NSF)
AC05-76RL01830
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
PNNL-SA--190103
ISSN:1748-9326
1748-9326
DOI:10.1088/1748-9326/ad677b