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Plant traits of grass and legume species for flood resilience and N 2 O mitigation

Authors :
Jan Willem van Groenigen
Diego Abalos
Gerlinde B. De Deyn
Yan Sun
Natalie J. Oram
Susan E. Hartley
Source :
Oram, N J, Sun, Y, Abalos, D, van Groenigen, J W, Hartley, S & De Deyn, G B 2021, ' Plant traits of grass and legume species for flood resilience and N 2 O mitigation ', Functional Ecology, vol. 35, no. 10, pp. 2205-2218 . https://doi.org/10.1111/1365-2435.13873, Functional Ecology, 35(10), 2205-2218, Functional Ecology 35 (2021) 10
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Flooding threatens the functioning of managed grasslands by decreasing primary productivity and increasing nitrogen losses, notably as the potent greenhouse gas nitrous oxide (N2O). Sowing species with traits that promote flood resilience and mitigate flood-induced N2O emissions within these grasslands could safeguard their productivity while mitigating nitrogen losses. We tested how plant traits and resource acquisition strategies could predict flood resilience and N2O emissions of 12 common grassland species (eight grasses and four legumes) grown in field soil in monocultures in a 14-week greenhouse experiment. We found that grasses were more resistant to flooding while legumes recovered better. Resource-conservative grass species had higher resistance while resource-acquisitive grasses species recovered better. Resilient grass and legume species lowered cumulative N2O emissions. Grasses with lower inherent leaf and root δ13C (and legumes with lower root δ13C) lowered cumulative N2O emissions during and after the flood. Our results highlight the differing responses of grasses with contrasting resource acquisition strategies, and of legumes to flooding. Combining grasses and legumes based on their traits and resource acquisition strategies could increase the flood resilience of managed grasslands, and their capability to mitigate flood-induced N2O emissions. A free Plain Language Summary can be found within the Supporting Information of this article.

Details

ISSN :
13652435 and 02698463
Volume :
35
Database :
OpenAIRE
Journal :
Functional Ecology
Accession number :
edsair.doi.dedup.....056b4992c00ad3a9f8eaf04b2f011201
Full Text :
https://doi.org/10.1111/1365-2435.13873