Number of the records: 1
Functional traits of a plant species fingerprint ecosystem productivity along broad elevational gradients in the Himalayas
- 1.0574310 - BÚ 2024 RIV US eng J - Journal Article
Sigdel, S. R. - Liang, E. - Rokaya, Maan Bahadur - Rai, S. - Dyola, N. - Sun, J. - Zhang, L. - Zhu, H. - Chettri, N. - Chaudhary, R. P. - Camarero, J. J. - Peñuelas, J.
Functional traits of a plant species fingerprint ecosystem productivity along broad elevational gradients in the Himalayas.
Functional Ecology. Roč. 37, č. 2 (2023), s. 383-394. ISSN 0269-8463. E-ISSN 1365-2435
Institutional support: RVO:67985939
Keywords : ecosystem function * ecosystem productivity * elevational gradient
OECD category: Ecology
Impact factor: 5.2, year: 2022
Method of publishing: Limited access
https://doi.org/10.1111/1365-2435.14226
We measured functional traits of the sub-shrub Koenigia mollis (Basionym: Polygonum molle, a widespread species) in 11 populations along a wide elevational gradient (1515–4216 m) considering from subtropical forest to alpine treeline in the central Himalayas. After measuring different traits (plant height, specific leaf area, leaf area, length of flowering branches, leaf carbon isotope (δ13C), leaf carbon and leaf nitrogen concentrations), we investigated drivers on changes of these traits and also characterized their relationships with elevation, climate and ecosystem productivity.All trait values decreased with increasing elevation, except for δ13C that increased upwards. Likewise, most traits showed strong positive relationships with potential evapotranspiration, while δ13C exhibited a negative relationship. In this context, elevation-dependent water–energy dynamics is the primary driver of trait variations. Furthermore, six key traits (plant height, length of flowering branch, specific leaf area, leaf carbon, leaf nitrogen and leaf δ13C) explained 90.45% of the variance in ecosystem productivity.
Permanent Link: https://hdl.handle.net/11104/0344654
Number of the records: 1