A high stem to leaf ratio reduced rainfall use efficiency under altered rainfall patterns in a semi-arid grassland in northeast China.
biomass allocation
climate change
rainfall patterns
rainfall use efficiency
Journal
Plant biology (Stuttgart, Germany)
ISSN: 1438-8677
Titre abrégé: Plant Biol (Stuttg)
Pays: England
ID NLM: 101148926
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
01
02
2021
accepted:
21
04
2021
pubmed:
30
4
2021
medline:
1
9
2021
entrez:
29
4
2021
Statut:
ppublish
Résumé
Rainfall use efficiency (RUE) is crucial for understanding the changes in grassland productivity due to variations in future rainfall patterns. Recently, numerous studies have been conducted on the relationship between RUE and the amount of rainfall, but there has been little research on the influence of rainfall distribution and the interactive effect of rainfall amounts and distribution on RUE. Here, a simulated rainfall experiment was conducted to evaluate the impacts of rainfall amount (average rainfall amount (R0), 334 mm; decreased (R-) and increased (R+) rainfall amounts, 233 mm and 434 mm, respectively) and dry intervals (comprising 6-day, 9-day, 12-day, 15-day, 18-day and 21-day intervals between rainfall) on productivity and RUE in Leymus chinensis (Trin.) Tzvel., a dominant grass of the Eastern Eurasian Steppe. Our results showed that (1) for biomass production and RUE, moderate extension of dry intervals was conducive to enhancing total biomass production and RUE. The peak values of total biomass and RUE appeared during the 15-day interval for R-, and the 18-day interval for R0 and R+. (2) For biomass allocation, extension of dry intervals decreased the stem to leaf ratio (S/L) and the root to shoot ratio (R/S). (3) Further, the S/L ratio was significantly negatively correlated with RUE. These results suggest that variations in rainfall patterns can alter the RUE by changing the S/L ratio, and finally influence biomass production in L. chinensis. These findings have important implications for understanding and predicting the effect of future climate change on productivity in semi-arid grassland.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
760-769Subventions
Organisme : National Natural Science Foundation of China
ID : 31971505
Organisme : the "13th Five-Year" Science and technology Research Project of the Department of Education, Jilin Province
ID : JJKH20201180KJ
Organisme : Development and Reform Commission Project of Jilin Province
ID : 2014Y095
Organisme : Natural Science Foundation of Jilin Province
ID : YDZJ202101ZYTS081
Organisme : Youth Talent Support Project of Jilin Province
ID : QT202007
Informations de copyright
© 2021 German Society for Plant Sciences and The Royal Botanical Society of the Netherlands.
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