Higher resistance of larch-broadleaf mixed forests than larch forests against soil acidification under experimental nitrogen addition
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Background and aims: Growing evidence has shown that nitrogen (N) deposition can lead to soil acidification and tree nutrient imbalance. Tree species-specific differences in plant-soil interactions may render different forest types exhibiting contrasting responses to N deposition, yet this remains largely untested. Methods: We conducted N addition experiments (0 and 50 kg N ha−1 yr−1) separately in a larch (Larix kaempferi) forest and an adjacent larch-broadleaf mixed forest, and examined whether soil N availability, soil acid–base chemistry, leaf nutrients and stoichiometry of these two forests responded differently to four-year N addition. Results: We found that N addition increased soil nitrate concentrations at four soil layers (i.e. Oa + e, 0–10, 10–20, and 20–40 cm), and resulted in soil acidification at Oa + e and 0–10 cm layers characterized by decreased pH and exchangeable base cations and increased hydrolyzing cations in the larch forest. In contrast to soil chemical properties, larch leaf nutrient stoichiometry except the C:N ratio showed no significant responses to N addition in the larch forest. Moreover, N addition did not significantly affect soil inorganic N concentration, soil acid–base chemistry, and tree leaf nutrients in the larch-broadleaf mixed forest. Conclusions: Our results suggest the higher resistance of larch-broadleaf mixed forests than larch forests against soil acidification under N addition, and highlight the establishment of conifer-broadleaf mixed forests is an important silvicultural practice to alleviate soil acidification induced by N deposition.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Plant and Soil |
| ISSN | 0032-079X |
| DOI | |
| Status | E-pub ahead of print - 2024 |
Bibliografisk note
Funding Information:
We are grateful to the Qingyuan Forest Station of the Chinese Ecosystem Research Network (CERN), National Observation and Research Station for providing the experimental sites and relevant support. We wish to thank Xiaoming Fang, Kai Huang, Shanlong Li, Dongwei Liu, Ruzhen Wang, and Zhan Shi for assisting with sampling and analyses. This work was financially supported by Applied Fundamental Research Project of Liaoning Province (2023JH2/101600049), Science and Technology Program of Shenyang (No. 22-315-6-18), National Natural Science Foundation of China (32271671), and Natural Science Foundation of Liaoning (2023-MS-026 and 2023-BSBA-320).
Funding Information:
This work was supported by Applied Fundamental Research Project of Liaoning Province (2023JH2/101600049). Author Feifei Zhu has received research support from Department of Science and Technology of Liaoning Province, China. This work was supported by Science and Technology Program of Shenyang (No. 22\u2013315-6\u201318). Author Feifei Zhu has received research support from Shenyang Bureau of Science and Technology, China. This work was supported by the National Natural Science Foundation of China (32271671). Ang Wang has received research support from National Natural Science Foundation of China. This work was supported by Natural Science Foundation of Liaoning (2023-MS-026 and 2023-BSBA-320). Dongwei Liu and Meixia Gao has received research support from Department of Science and Technology of Liaoning Province, China.
Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
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