Global terrestrial nitrogen uptake and nitrogen use efficiency

Author:

Peng Yunke12ORCID,Prentice Iain Colin345,Bloomfield Keith J.3,Campioli Matteo6,Guo Zhiwen7,Sun Yuanfeng8,Tian Di129,Wang Xiangping7,Vicca Sara6,Stocker Benjamin D.121011

Affiliation:

1. Department of Environmental Systems Science ETH, Universitätsstrasse 2 Zurich Switzerland

2. Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland

3. Department of Life Sciences, Georgina Mace Centre for the Living Planet Imperial College London Ascot UK

4. Department of Biological Sciences Macquarie University North Ryde New South Wales Australia

5. Department of Earth System Science Tsinghua University Beijing China

6. Research Group PLECO (Plants and Ecosystems), Department of Biology University of Antwerp Wilrijk Belgium

7. School of Ecology and Nature Conservation, Taiyueshan Long‐Term Forest Ecosystem Research Station Beijing Forestry University Beijing China

8. Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing China

9. The Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing Forestry University Beijing China

10. Institute of Geography University of Bern Bern Switzerland

11. Oeschger Centre for Climate Change Research University of Bern Bern Switzerland

Abstract

Abstract Plant biomass production (BP), nitrogen uptake (Nup) and their ratio, and nitrogen use efficiency (NUE) must be quantified to understand how nitrogen (N) cycling constrains terrestrial carbon (C) uptake. But the controls of key plant processes determining Nup and NUE, including BP, C and N allocation, tissue C:N ratios and N resorption efficiency (NRE), remain poorly known. We compiled measurements from 804 forest and grassland sites and derived regression models for each of these processes with growth temperature, vapour pressure deficit, stand age, soil C:N ratio, fAPAR (remotely sensed fraction of photosynthetically active radiation absorbed by green vegetation) and growing‐season average daily incident photosynthetic photon flux density (gPPFD; effectively the seasonal concentration of light availability, which increases polewards) as predictors. An empirical model for leaf N was based on optimal photosynthetic capacity (a function of gPPFD and climate) and observed leaf mass per area. The models were used to produce global maps of Nup and NUE. Global BP was estimated as 72 Pg C/year; Nup as 950 Tg N/year; and NUE as 76 g C/g N. Forest BP was found to increase with growth temperature and fAPAR and to decrease with stand age, soil C:N ratio and gPPFD. Forest NUE is controlled primarily by climate through its effect on C allocation—especially to leaves, being richer in N than other tissues. NUE is greater in colder climates, where N is less readily available, because below‐ground allocation is increased. NUE is also greater in drier climates because leaf allocation is reduced. NRE is enhanced (further promoting NUE) in both cold and dry climates. Synthesis. These findings can provide observationally based benchmarks for model representations of C–N cycle coupling. State‐of‐the‐art vegetation models in the TRENDY ensemble showed variable performance against these benchmarks, and models including coupled C–N cycling produced relatively poor simulations of Nup and NUE.

Funder

China Association for Science and Technology

H2020 European Research Council

National Natural Science Foundation of China

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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