Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass
The production of anthropogenic reactive nitrogen (N) has grown so much in the last century that quantifying the effect of N enrichment on plant growth has become a central question for carbon (C) cycle research. Numerous field experiments generally found that N enrichment increased site-scale plant...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2022-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/ac7b38 |
| _version_ | 1797747405949501440 |
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| author | Yongwen Liu Shilong Piao David Makowski Philippe Ciais Thomas Gasser Jian Song Shiqiang Wan Josep Peñuelas Ivan A Janssens |
| author_facet | Yongwen Liu Shilong Piao David Makowski Philippe Ciais Thomas Gasser Jian Song Shiqiang Wan Josep Peñuelas Ivan A Janssens |
| author_sort | Yongwen Liu |
| collection | DOAJ |
| description | The production of anthropogenic reactive nitrogen (N) has grown so much in the last century that quantifying the effect of N enrichment on plant growth has become a central question for carbon (C) cycle research. Numerous field experiments generally found that N enrichment increased site-scale plant biomass, although the magnitude of the response and sign varied across experiments. We quantified the response of terrestrial natural vegetation biomass to N enrichment in the Northern Hemisphere (>30° N) by scaling up data from 773 field observations (142 sites) of the response of biomass to N enrichment using machine-learning algorithms. N enrichment had a significant and nonlinear effect on aboveground biomass (AGB), but a marginal effect on belowground biomass. The most influential variables on the AGB response were the amount of N applied, mean biomass before the experiment, the treatment duration and soil phosphorus availability. From the machine learning models, we found that N enrichment due to increased atmospheric N deposition during 1993–2010 has enhanced total biomass by 1.1 ± 0.3 Pg C, in absence of losses from harvest and disturbances. The largest effect of N enrichment on plant growth occurred in northeastern Asia, where N deposition markedly increased. These estimates were similar to the range of values provided by state-of-the-art C–N ecosystem process models. This work provides data-driven insights into hemisphere-scale N enrichment effect on plant biomass growth, which allows to constrain the terrestrial ecosystem process model used to predict future terrestrial C storage. |
| first_indexed | 2024-03-12T15:51:08Z |
| format | Article |
| id | doaj.art-9e00e94e41d04540953576003eb3225e |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:51:08Z |
| publishDate | 2022-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-9e00e94e41d04540953576003eb3225e2023-08-09T15:13:06ZengIOP PublishingEnvironmental Research Letters1748-93262022-01-0117707403210.1088/1748-9326/ac7b38Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomassYongwen Liu0https://orcid.org/0000-0002-9664-303XShilong Piao1https://orcid.org/0000-0001-8057-2292David Makowski2Philippe Ciais3Thomas Gasser4Jian Song5Shiqiang Wan6Josep Peñuelas7Ivan A Janssens8State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences , Beijing 100101, People’s Republic of ChinaState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences , Beijing 100101, People’s Republic of China; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University , Beijing 100871, People’s Republic of ChinaUniversité Paris-Saclay, AgroParisTech, INRAE, Unit Applied Mathematics and Computer Science (MIA 518) , Palaiseau, FranceLaboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ , Gif-sur-Yvette 91191, FranceInternational Institute for Applied Systems Analysis (IIASA) , 2361 Laxenburg, AustriaCollege of Life Sciences, Hebei University , Baoding, Hebei 071002, People’s Republic of ChinaCollege of Life Sciences, Hebei University , Baoding, Hebei 071002, People’s Republic of ChinaCREAF, Cerdanyola del Valles , Barcelona 08193, Catalonia, Spain; CSIC, Global Ecology Unit CREAF- CSIC-UAB, Bellaterra , Barcelona 08193, Catalonia, SpainDepartment of Biology, University of Antwerp , Universiteitsplein 1, 2610 Wilrijk, BelgiumThe production of anthropogenic reactive nitrogen (N) has grown so much in the last century that quantifying the effect of N enrichment on plant growth has become a central question for carbon (C) cycle research. Numerous field experiments generally found that N enrichment increased site-scale plant biomass, although the magnitude of the response and sign varied across experiments. We quantified the response of terrestrial natural vegetation biomass to N enrichment in the Northern Hemisphere (>30° N) by scaling up data from 773 field observations (142 sites) of the response of biomass to N enrichment using machine-learning algorithms. N enrichment had a significant and nonlinear effect on aboveground biomass (AGB), but a marginal effect on belowground biomass. The most influential variables on the AGB response were the amount of N applied, mean biomass before the experiment, the treatment duration and soil phosphorus availability. From the machine learning models, we found that N enrichment due to increased atmospheric N deposition during 1993–2010 has enhanced total biomass by 1.1 ± 0.3 Pg C, in absence of losses from harvest and disturbances. The largest effect of N enrichment on plant growth occurred in northeastern Asia, where N deposition markedly increased. These estimates were similar to the range of values provided by state-of-the-art C–N ecosystem process models. This work provides data-driven insights into hemisphere-scale N enrichment effect on plant biomass growth, which allows to constrain the terrestrial ecosystem process model used to predict future terrestrial C storage.https://doi.org/10.1088/1748-9326/ac7b38field experimentnitrogen depositioncarbon cyclemachine-learningecosystem process model |
| spellingShingle | Yongwen Liu Shilong Piao David Makowski Philippe Ciais Thomas Gasser Jian Song Shiqiang Wan Josep Peñuelas Ivan A Janssens Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass Environmental Research Letters field experiment nitrogen deposition carbon cycle machine-learning ecosystem process model |
| title | Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass |
| title_full | Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass |
| title_fullStr | Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass |
| title_full_unstemmed | Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass |
| title_short | Data-driven quantification of nitrogen enrichment impact on Northern Hemisphere plant biomass |
| title_sort | data driven quantification of nitrogen enrichment impact on northern hemisphere plant biomass |
| topic | field experiment nitrogen deposition carbon cycle machine-learning ecosystem process model |
| url | https://doi.org/10.1088/1748-9326/ac7b38 |
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