Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models

Lu, Haibo; Li, Shihua; Ma, Minna; Bastrikov, Vladislav; Chen, Xiuzhi; Ciais, Philippe; Ito, Akihiko; Ju, Weimin; Lienert, Sebastian; Lombardozzi, Danica; Lu, Xingjie; Maignan, Fabienne; Nakhavali, Mahdi; Quine, Timothy; Schindlbacher, Andreas; Wang, Jun; Wang, Yingping; Wårlind, David; Zhang, Shupeng and Yuan, Wenping (2021). Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models. Environmental Research Letters, 16(5), 054048. IOP Publishing 10.1088/1748-9326/abf526

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Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Climate and Environmental Physics
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)

UniBE Contributor:

Lienert, Sebastian

Subjects:

500 Science > 530 Physics
500 Science > 550 Earth sciences & geology

ISSN:

1748-9326

Publisher:

IOP Publishing

Language:

English

Submitter:

Sebastian Lienert

Date Deposited:

31 Mar 2022 14:11

Last Modified:

26 Jan 2024 12:00

Publisher DOI:

10.1088/1748-9326/abf526

BORIS DOI:

10.48350/168228

URI:

https://boris.unibe.ch/id/eprint/168228

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