Nitrogen addition delays the emergence of an aridity-induced threshold for plant biomass

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Título: Nitrogen addition delays the emergence of an aridity-induced threshold for plant biomass
Autor/es: Li, Hailing | Terrer, César | Berdugo, Miguel | Maestre, Fernando T. | Zhu, Zaichun | Peñuelas Reixach, Josep | Yu, Kailiang | Luo, Lin | Gong, Jie-Yu | Ye, Jian-Sheng
Grupo/s de investigación o GITE: Laboratorio de Ecología de Zonas Áridas y Cambio Global (DRYLAB)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ecología | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"
Palabras clave: Aboveground biomass | Root: shoot ratios | Elevated CO2 | Nitrogen fertilization | Ecosystem threshold
Fecha de publicación: 12-sep-2023
Editor: Oxford University Press
Cita bibliográfica: National Science Review. 2023, 10(11). https://doi.org/10.1093/nsr/nwad242
Resumen: Crossing certain aridity thresholds in global drylands can lead to abrupt decays of ecosystem attributes such as plant productivity, potentially causing land degradation and desertification. It is largely unknown, however, whether these thresholds can be altered by other key global change drivers known to affect the water-use efficiency and productivity of vegetation, such as elevated CO2 and nitrogen (N). Using >5000 empirical measurements of plant biomass, we showed that crossing an aridity (1–precipitation/potential evapotranspiration) threshold of ∼0.50, which marks the transition from dry sub-humid to semi-arid climates, led to abrupt declines in aboveground biomass (AGB) and progressive increases in root:shoot ratios, thus importantly affecting carbon stocks and their distribution. N addition significantly increased AGB and delayed the emergence of its aridity threshold from 0.49 to 0.55 (P < 0.05). By coupling remote sensing estimates of leaf area index with simulations from multiple models, we found that CO2 enrichment did not alter the observed aridity threshold. By 2100, and under the RCP 8.5 scenario, we forecast a 0.3% net increase in the global land area exceeding the aridity threshold detected under a scenario that includes N deposition, in comparison to a 2.9% net increase if the N effect is not considered. Our study thus indicates that N addition could mitigate to a great extent the negative impact of increasing aridity on plant biomass in drylands. These findings are critical for improving forecasts of abrupt vegetation changes in response to ongoing global environmental change.
Patrocinador/es: This research was supported by the Second Tibetan Plateau Scientific Expedition and Research (2019QZKK0305), the Fundamental Research Funds for the Central Universities (lzujbky-2022-ct01), "111" Project (BP0719040) and "Innovation Star" project of Gansu Province's outstanding graduate students in 2023 (2023CXZX-132). FTM is supported by Generalitat Valenciana (CIDEGENT/2018/041) and the Spanish Ministry of Science and Innovation (EUR2022-134048). ZZ is supported by the National Natural Science Foundation of China (41901122) and the Shenzhen Fundamental Research Program (GXWD20201231165807007- 20200814213435001). JP is supported by the Spanish Government grant TED2021-132627B-I00 funded by MCIN, AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR, the Fundación Ramón Areces grant CIVP20A6621, and the Catalan Government grant SGR2021-1333.
URI: http://hdl.handle.net/10045/137283
ISSN: 2095-5138 (Print) | 2053-714X (Online)
DOI: 10.1093/nsr/nwad242
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Revisión científica: si
Versión del editor: https://doi.org/10.1093/nsr/nwad242
Aparece en las colecciones:INV - DRYLAB - Artículos de Revistas

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