Tropical peatland carbon storage linked to global latitudinal trends in peat recalcitrance

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2041-1723

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Tropical peatland carbon storage linked to global latitudinal trends in peat recalcitrance ; volume:9 ; number:1 ; day:7 ; month:9 ; year:2018 ; pages:1-13 ; date:12.2018
Nature Communications ; 9, Heft 1 (7.9.2018), 1-13, 12.2018

Classification: Biowissenschaften, Biologie

Creator: Hodgkins, Suzanne B.

Contributor: Richardson, Curtis J.
Dommain, René
Wang, Hongjun
Glaser, Paul H.
Verbeke, Brittany
Winkler, B. Rose
Cobb, Alexander R.
Rich, Virginia I.
Missilmani, Malak
Flanagan, Neal
Ho, Mengchi
Hoyt, Alison
Harvey, Charles F.
Vining, S. Rose
Hough, Moira A.
Moore, Tim R.
Richard, Pierre J. H.
Cruz, Florentino B. De La
Toufaily, Joumana
Hamdan, Rasha
Cooper, William T.
Chanton, Jeffrey P.
SpringerLink (Online service)

DOI: 10.1038/s41467-018-06050-2

URN: urn:nbn:de:101:1-2018103121191967783509

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

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Associated

Hodgkins, Suzanne B.
Richardson, Curtis J.
Dommain, René
Wang, Hongjun
Glaser, Paul H.
Verbeke, Brittany
Winkler, B. Rose
Cobb, Alexander R.
Rich, Virginia I.
Missilmani, Malak
Flanagan, Neal
Ho, Mengchi
Hoyt, Alison
Harvey, Charles F.
Vining, S. Rose
Hough, Moira A.
Moore, Tim R.
Richard, Pierre J. H.
Cruz, Florentino B. De La
Toufaily, Joumana
Hamdan, Rasha
Cooper, William T.
Chanton, Jeffrey P.
SpringerLink (Online service)

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Tropical peatland carbon storage linked to global latitudinal trends in peat recalcitrance

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Other Objects (12)

Elevated methane flux in a tropical peatland post-fire is linked to depth-dependent changes in peat microbiome assembly

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Peatland restoration pathways to mitigate greenhouse gas emissions and retain peat carbon

A map of global peatland extent created using machine learning (Peat-ML)

A map of global peatland extent created using machine learning (Peat-ML)

Root-derived CO2 flux from a tropical peatland

Application of agroforestry business models to tropical peatland restoration

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A map of global peatland extent created using machine learning (Peat-ML)

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Elevated methane flux in a tropical peatland post-fire is linked to depth-dependent changes in peat microbiome assembly

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Degradation increases peat greenhouse gas emissions in undrained tropical peat swamp forests

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