Functional traits of a plant species fingerprint ecosystem productivity along broad elevational gradients in the Himalayas

0574310 - BÚ 2024 RIV US eng J - Článek v odborném periodiku
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
Institucionální podpora: RVO:67985939
Klíčová slova: ecosystem function * ecosystem productivity * elevational gradient
Obor OECD: Ecology
Impakt faktor: 5.2, rok: 2022
Způsob publikování: Omezený přístup
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.
Trvalý link: https://hdl.handle.net/11104/0344654