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Intensive field sampling increases the known extent of carbon-rich Amazonian peatland pole forests

AbstractPeatland pole forest is the most carbon-dense ecosystem in Amazonia, but its spatial distribution and species composition are poorly known. To address this knowledge gap, we quantified variation in the floristic composition, peat thickness, and the amount of carbon stored above and below ground of 102 forest plots and 53 transects in northern Peruvian Amazonia. This large dataset includes 571 ground reference points of peat thickness measurements across six ecosystem types. These field data were also used to generate a new land-cover classification based on multiple satellite products using a random forest classification. Peatland pole forests are floristically distinctive and dominated by thin-stemmed woody species such asPachira nitida(Malvaceae),Platycarpum loretense(Rubiaceae), andHevea guianensis(Euphorbiaceae). In contrast, palm swamps and open peatlands are dominated byMauritia flexuosa(Arecaceae). Peatland pole forests have high peat thickness (274 ± 22 cm, mean ± 95% CI,n= 184) similar to open peatlands (282 ± 46 cm,n= 46), but greater than palm swamps (161 ± 17 cm,n= 220) and seasonally-flooded forest, terra firme, and white-sand forest where peat is rare or absent. As a result, peatland pole forest has exceptional carbon density (1,133 ± 93 Mg C ha−1). The new sites expand the known distribution of peatland pole forest by 61% within the Pastaza-Marañón Foreland basin, mainly alongside the Tigre river, to cover a total of 7540 km2in northern Peruvian Amazonia. However, only 15% of the pole forest area is within a protected area, whilst an additional 26% lies within indigenous territories. The current low levels of protection and forest degradation but high threat from road paving projects makes the Tigre river basin a priority for conservation. The long-term conservation of peatland pole forests has the potential to make a large contribution towards international commitments to mitigate climate change.
- CGIAR France
- Wildlife Conservation Society United States
- Wildlife Conservation Society United States
- Indian Institute of Astrophysics India
- CGIAR Consortium France
Dominant species, peatland degradation, Arecaceae, Estimation of Forest Biomass and Carbon Stocks, Environmental technology. Sanitary engineering, Indigenous communities, Agricultural and Biological Sciences, remote sensing, Biodiversity Conservation and Ecosystem Management, Environmental Science(all), Bog, SDG 13 - Climate Action, GE1-350, natural resources, TD1-1066, General Environmental Science, SDG 15 - Life on Land, GE, spatial distribution, Ecology, Geography, Physics, Q, Amazonian, indigenous communities, carbon density, Life Sciences, Forestry, Palm, Peatland degradation, Physical Sciences, Public Health, Google Earth Engine, Biomass Estimation, GE Environmental Sciences, 570, Carbon density, Amazon rainforest, Science, QC1-999, Quantum mechanics, 333, Environmental science, carbon sinks, SDG 3 - Good Health and Well-being, dominant species, Renewable Energy, SDG 7 - Affordable and Clean Energy, Agroforestry, Biology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, 580, Swamp, Sustainability and the Environment, Renewable Energy, Sustainability and the Environment, species composition, RAMSAR sites, Environmental and Occupational Health, Peat, Public Health, Environmental and Occupational Health, DAS, Environmental sciences, FOS: Biological sciences, Environmental Science, Phylogeny and Evolution of Grasses (Poaceae), Natural resources
Dominant species, peatland degradation, Arecaceae, Estimation of Forest Biomass and Carbon Stocks, Environmental technology. Sanitary engineering, Indigenous communities, Agricultural and Biological Sciences, remote sensing, Biodiversity Conservation and Ecosystem Management, Environmental Science(all), Bog, SDG 13 - Climate Action, GE1-350, natural resources, TD1-1066, General Environmental Science, SDG 15 - Life on Land, GE, spatial distribution, Ecology, Geography, Physics, Q, Amazonian, indigenous communities, carbon density, Life Sciences, Forestry, Palm, Peatland degradation, Physical Sciences, Public Health, Google Earth Engine, Biomass Estimation, GE Environmental Sciences, 570, Carbon density, Amazon rainforest, Science, QC1-999, Quantum mechanics, 333, Environmental science, carbon sinks, SDG 3 - Good Health and Well-being, dominant species, Renewable Energy, SDG 7 - Affordable and Clean Energy, Agroforestry, Biology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, 580, Swamp, Sustainability and the Environment, Renewable Energy, Sustainability and the Environment, species composition, RAMSAR sites, Environmental and Occupational Health, Peat, Public Health, Environmental and Occupational Health, DAS, Environmental sciences, FOS: Biological sciences, Environmental Science, Phylogeny and Evolution of Grasses (Poaceae), Natural resources
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