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Journal article

Differentiating moss from higher plants is critical in studying the carbon cycle of the boreal biome

From

Beijing Normal University1

University of California at Irvine2

University of Helsinki3

Lund University4

Université Laval5

Forestry and Forest Products Research Institute6

Wageningen University & Research7

Vrije Universiteit Amsterdam8

Nagoya University9

Department of Chemical and Biochemical Engineering, Technical University of Denmark10

Ecosystems Programme, Department of Chemical and Biochemical Engineering, Technical University of Denmark11

United States Geological Survey12

Russian Academy of Sciences13

University of Maryland, College Park14

Peking University15

University of Toronto16

Chinese Academy of Sciences17

Climate Research Division18

University of British Columbia19

Central South University of Forestry & Technology20

...and 10 more

The satellite-derived normalized difference vegetation index (NDVI), which is used for estimating gross primary production (GPP), often includes contributions from both mosses and vascular plants in boreal ecosystems. For the same NDVI, moss can generate only about one-third of the GPP that vascular plants can because of its much lower photosynthetic capacity.

Here, based on eddy covariance measurements, we show that the difference in photosynthetic capacity between these two plant functional types has never been explicitly included when estimating regional GPP in the boreal region, resulting in a substantial overestimation. The magnitude of this overestimation could have important implications regarding a change from a current carbon sink to a carbon source in the boreal region.

Moss abundance, associated with ecosystem disturbances, needs to be mapped and incorporated into GPP estimates in order to adequately assess the role of the boreal region in the global carbon cycle.

Language: English
Publisher: Nature Publishing Group
Year: 2014
Pages: 4270
ISSN: 20411723
Types: Journal article
DOI: 10.1038/ncomms5270
ORCIDs: Pilegaard, Kim

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