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

0575201 - ÚVGZ 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:86652079
Klíčová slova: ecosystem function * ecosystem productivity * elevational gradient * functional traits * Koenigia mollis * water-energy dynamics
Obor OECD: Plant sciences, botany
Impakt faktor: 5.2, rok: 2022
Způsob publikování: Omezený přístup
https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2435.14226

It is a challenge to scale-up from simplified proxies to ecosystem functioning since the inherent complexity of natural ecosystems hinders such an approach. One way to address this complexity is to track ecosystem processes through the lens of plant functional traits. Elevational gradients with diverse biotic and abiotic conditions offer ideal settings for inferring functional trait responses to environmental gradients globally. However, most studies have focused on differences in mean trait values among species, and little is known on how intraspecific traits vary along wide elevational gradients and how this variability reflects ecosystem productivity. 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 (delta C-13), 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 delta C-13 that increased upwards. Likewise, most traits showed strong positive relationships with potential evapotranspiration, while delta C-13 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 delta C-13) explained 90.45% of the variance in ecosystem productivity. Our study evidences how elevation-dependent climate variations affect ecosystem processes and functions. Intraspecific variability in leaf functional traits is strongly driven by changes in water-energy dynamics, and reflects changes in ecosystem productivity over elevation. K. mollis, with one of the widest elevational gradients known to date, could be a model species to infer functional trait responses to environmental gradients globally. As inferred from K. mollis, the water-energy dynamics can be a hydrothermal variable to understand the formation of vegetation boundaries, such as alpine treeline. This study sheds new insight on how plants modify their basic ecological strategies to cope with changing environments. Read the free Plain Language Summary for this article on the Journal blog.
Trvalý link: https://hdl.handle.net/11104/0345038