Abstract
Arctic-alpine plant populations can be found across latitudinal, altitudinal, micro-topographical and abiotic gradients within the tundra biome, thus experiencing unique combinations of microclimatic niches, geological substrates and light environments. Rising temperatures have been the focus in arctic-alpine research, yet the interest in photic barriers and spectral light requirements is rising in current research. Although ecotypic differences across latitudes and altitudes have been observed and circadian activity under continuous light has been investigated, arctic-alpine photobiology is critically understudied despite its eco-physiological relevance. Experimental studies considering light among the abiotic factors, either for its relevance for photosynthesis or as a potential cue regulating phenology, are not only scarce but they also showcase marked heterogeneity in terms of experimental designs, with only few studies offering comparisons among populations. We argue that arctic-alpine plant species are fitting photobiological research targets thanks to their realized niches and ecological relevance.
1 Introduction: warming is not enough to study climate change responses
The rising interest and concern on global warming during the late 20th century, with the Villach Conference in 1985, the IPCC establishment in 1988 and the first IPCC report in 1990, formed the scientific substratum for the first International Tundra Experiment (ITEX) in December 1990 (). The resulting protocol established a network of arctic and alpine study sites characterized by low-cost and low-impact manipulations of near-surface air temperature and snowmelt regimes (). Subsequently, a number of studies showed that light is a crucial yet understudied environmental factor when it comes to plant responses under climate change (; ; ) but also predicted photic constraints to poleward range-shifts of plant species ().
Photoperiod is currently considered as one of the major factors impacting range shifts of plant species in response to the changing climate (). Astronomical daylength itself is strictly latitude-dependent (Figures 1A–D), thus its interest in the context of global warming has been marginal at best. Atmospheric and meteorological factors, both impacted by rising temperatures, can locally affect crucial spectral light ratios for plant perception which implies an entanglement between light cues and climate change ().
Figure 1
The target of this study are arctic-alpine plant species (
2 Arctic-alpine species: populations under the same bioclimate but across different ecological gradients
The need for shared terminology in arctic-alpine research is no new concept, nor is the arbitrariness of a series of terms, such as arctic, subarctic, and subalpine (
Table 1
| Level 1 | Level 2 | Level 3 | Thermotypes (Tp) | Ombrotypes (Io) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Domain and macrobioclimate (Tp and Io) | Ecozone and bioclimate | Biomes | Subbiomes | Regional subbiomes | Infra | Thermo | Meso | Supra | Oro | Cryoro | Hyperarid (< 0.4) | Arid (0.4–1) | Subarid (1–2) | Dry (2–3.6) | Subhumid (3.6–6) | Humid (6–12) | Hyperhumid (> 12) |
| Cryocratic; Cold (Tp < 1000) | Polar and boreal ecozone; Tundral-boreal | 1. Tundra | 1a. Polar tundra | 1a.1. Circumarctic polar tundra | X | X | X | X | X | ||||||||
| 1a.2. Anctarctic polar tundra | X | X | X | ||||||||||||||
| 1b. Tundras of the temperate mountains in cryoro belt | 1b.1. Eurasian mountains cryoro tundras | X | X | X | |||||||||||||
| 1b.2. North American mountains cryoro tundras | X | X | X | ||||||||||||||
| 1b.3. Austral mountains cryoro tundras | X | X | X | ||||||||||||||
| 1c. Tundras of the tropical mountains in cryoro belt | 1c. 1. Paleotropical mountains cryoro tundras | X | X | X | |||||||||||||
| 1c. 2. Neotropical mountains cryoro tundras | X | X | X | ||||||||||||||
Hierarchical bioclimatic classification regarding the tundra biome and its subbiomes, from
All relevant definitions can be found in
Despite the similar bioclimate, arctic-alpine plant populations can be found in several environmental gradients. For instance, temperature does not only change along latitudinal and altitudinal gradients, but also across micro-topographies (alongside water availability) depending on a few interconnected variables, such as slope, aspect, surface morphology, substrate type, wind exposure, snow cover, length of the snow-free period and incoming light (
Arctic-alpine plant populations can also be found across photoperiodic gradients. Photoperiod has been defined in different ways in the literature: (1) as a synonym of daylength; (2) as the ‘absolute photoperiod’, ranging from the first to the last photons the photoreceptors are able to perceive; (3) as the ‘photosynthetic photoperiod’, defined by sufficient radiation for the rate of photosynthesis to exceed the rate of respiration (
3 Light cues in a changing environment: a pivotal but understudied ecological factor
Among the ecological factors affecting plant responses to a changing environment, spectral light cues play a role in juvenile phenology (e.g., germination, de-etiolation, hypocotyl elongation), vegetative phenology (e.g., growth, leaf size and shape) and reproductive phenology (e.g., flowering). Spectral light also affects a wide array of developmental and physiological processes (e.g., vernalization and senescence, starch metabolism, chlorophyll content, stomatal density, chloroplast numbers) (
4 A critical review of extant studies on the photobiology of arctic-alpine plants
The state of the art in photobiology relies mostly on the study of model organisms [e.g., Arabidopsis thaliana (L.) Heynh.] and crops (e.g., Oryza sativa L.) rather than of arctic-alpine plant species (
Table 2
| Short citation | Locations | Design | Light | Temperature | Water | Snow | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N–America, 15 S.L. ranging between 38–76°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| California (37°N), Alaska (68°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| N–America & Eur., 18 S.L. ranging between 35–81°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Alps (47°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Greenland (74°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| 4 sites ranging between 45–78°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Alps (47°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Greenland (74°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ||||
| 6 sites ranging between 40–78°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Svalbard (78°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ||
| Alaska (68°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Europe, 4 S.L. ranging between 44–64°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Alaska (68°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Alaska, C.G. 68°N, S.L. ranging between 65– 70°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| N–America & Eur, S.L. ranging between 68–79°N, C.G. 78°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ||
| Svalbard (78°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Alaska (68°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Alps (45°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| 18 sites ranging between 37–79°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Svalbard (78°N) | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||
| Alps, 2 S.L. (46°N), | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |||||
| Eur., 4 S.L. ranging between 44–64°N | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ||||
Visual table of arctic and/or alpine experimental contributions considering light.
Papers are ordered chronologically; their study area is recorded with the intent to underline the presence of either altitudinal or latitudinal gradients. A series of icons described in the panel’s legend graphically convey if the experimental designs are conducted in field or in controlled conditions, if remote sensing is used, if abiotic variables are discussed, recorded or manipulated and which scales are considered (i.e. macrohabitat, microhabitat, multi-scale). Common Garden (C.G.), Sampling Locations (S.L.), North America (N-America), Europe (Eur.).
: in field experiment.
: laboratory/greenhouse-controlled experiment.
: remote-sensing techniques.
: acknowledged either in the introduction or in the discussion of the results.
: record and monitor of environmental conditions.
: manipulations (e.g. OTC, lamps, irrigation).
: macrohabitat scale (e.g. atmospheric air temperature, daylength, DOY, precipitation).
: microhabitat scale (e.g. soil temperature, soil moisture, PAR, local snow-regime).
: multiple scales. Icons are included in the Microsoft Office package.
Figure 2

Models of comparison: (A) different species within the same site; (B) different populations in different sites along altitudinal or latitudinal gradients; (C) similar communities in different sites along altitudinal or latitudinal gradients; (D) similar communities within the tundra biome; (E) populations in the same site but along an abiotic gradient and in different communities, (F) different communities in the same site but along an abiotic gradient. Species icons are generated from field obtained photos and transformed with ChatGPT to remove background and emulate a botanical illustration.
Most of the studies comparing arctic-alpine populations experiencing different photoperiodic regimes were carried out on Oxyria digyna (L.) Hill, which showed clear ecotypic differences across latitudinal gradients both in Europe and in North America (
5 Concluding remarks and future perspectives
The main conclusion of our review is that comparisons of populations rather than species (Figures 2B, E) are pivotal for investigating photobiologic differences and adaptations to the local light environments of arctic-alpine plant species. Our study also showed that experimental studies in this field are scarce to date. The limited pool of extant studies focused on population comparisons within a multi-site manipulative design, which is intrinsically challenging. Fieldwork in remote arctic or alpine areas implies a number of limitations including safety, logistics, local regulations, permit requirements (e.g., import and export of plant and soil material, weapon use, access to protected areas, etc.) and the respect of international agreements (e.g., the Nagoya Protocol). Therefore, reciprocal transplants, plant growth in common gardens and assisted migrations are not always feasible in arctic and alpine regions. We suggest consulting the INTERACT website (eu-interact.org) to tackle and disentangle the difficult organizational puzzle posed by multi-site arctic-alpine studies. As we experienced firsthand in the experimental phase of the project PHOTOPLANT (https://photoplant.unipv.it), field light manipulations pose additional challenges and limitations, which justify the common use of controlled manipulations (e.g., climate chambers) instead of field-based manipulations. The use of lamps to simulate longer daylengths requires reliable and stable power supply which can only approximate the everchanging spectral light environment, because lamps generally provide constant quality and intensity of the photosynthetically active radiation (
The scarcity of literature on photoperiodic requirements of arctic-alpine plant populations is not only contextual to the rising interest and concern in global warming, but also to: (1) disagreements on shared terminology; (2) evaluation of experimental protocols given the intrinsic interdisciplinarity and complexity of photobiological research; (3) critical assessment of logistical, technical and safety issues concerning fieldwork in remote areas. More population-level photobiological research is needed to predict future responses of arctic-alpine plant species to the changing climate, to increase the efficacy of assisted colonization, and to support crop science especially at the highest latitudes of the agroclimatic zone.
Statements
Author contributions
AC: Data curation, Conceptualization, Writing – review & editing, Formal analysis. TA: Funding acquisition, Writing – review & editing, Resources, Project administration, Conceptualization. LB: Conceptualization, Supervision, Writing – review & editing, Project administration, Funding acquisition, Resources, Validation. MC: Writing – review & editing, Data curation. MT: Writing – review & editing, Data curation. RG: Conceptualization, Resources, Funding acquisition, Writing – review & editing, Project administration, Supervision.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by “Progetto di Ricerca di Rilevante Interesse Nazionale” (PRIN) of the Italian Ministry of University and Research funded by the European Union—Next Generation EU “PHOTOPLANT: Response of arctic and alpine ecosystems to photoperiod- climate interaction in the context of climate change” led by the University of Pavia, Missione 4 Componente 1 CUP Master F53D23004120006.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2026.1920913/full#supplementary-material
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Summary
Keywords
arctic-alpine plants, climate change, photoperiod, spectral light, tundra
Citation
Cazzavillan A, Abeli T, Brancaleoni L, Cutini M, Tarascio M and Gerdol R (2026) Shedding light on arctic-alpine plants: the understudied photobiological responses in the context of climate change. Front. Plant Sci. 17:1920913. doi: 10.3389/fpls.2026.1920913
Received
26 June 2026
Revised
21 July 2026
Accepted
22 July 2026
Published
07 August 2026
Volume
17 - 2026
Edited by
Jiaxin Jin, Hohai University, China
Reviewed by
Gretchen North, Occidental College, United States
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© 2026 Cazzavillan, Abeli, Brancaleoni, Cutini, Tarascio and Gerdol.
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*Correspondence: Lisa Brancaleoni, bcl@unife.it
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.