MINI REVIEW article

Front. Plant Sci., 07 August 2026

Sec. Functional Plant Ecology

Volume 17 - 2026 | https://doi.org/10.3389/fpls.2026.1920913

Shedding light on arctic-alpine plants: the understudied photobiological responses in the context of climate change

  • 1. Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy

  • 2. Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy

  • 3. Department of Science, ROMA TRE University, Rome, Italy

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

, Physiologia Plantarum, Volume: 172, Issue: 4, Pages: 1931–1940, First published: 10 April 2021, DOI: (10.1111/ppl.13418). See Appendix 1: Supplementary Tables S1S4, for supporting data used in the graphs (A–D).

The target of this study are arctic-alpine plant species (). Given their peculiar distribution ranges and realized niches, arctic-alpine plant species offer a unique opportunity to investigate responses to climate change across different light environments. We aim to highlight the scarcity of experimental literature on population-specific responses of arctic-alpine plant species to photoperiod under the changing climate.

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 (). For instance, the Arctic Portal (https://arcticportal.org) reports seven different definitions for the ‘Arctic’. Similarly, not all authors accept the term ‘alpine tundra’ but prefer to differentiate between the tundra biome and the alpine biome (; ). The concept of biome itself is a matter of debate (). This terminological arbitrariness influences the efficacy of keywords in literature research. We do not strive to solve the terminological issue nor to propose unequivocal definitions. We aim to bring to light a series of well documented ecological concepts relevant to arctic-alpine plant species, the habitats they inhabit and the abiotic similarities and differences they experience in their realized niches.

defined arctic-alpine plants as all species occurring beyond the treeline, both latitudinally and altitudinally. They share a common history shaped by the climatic oscillations of the Ice Age, which caused them to migrate at higher latitudes and altitudes during Interglacials and to either persist in glacial refuges or migrate to suitable habitats at lower altitudes and latitudes during Glaciations (; ). Arctic-alpine plant populations are currently scattered across the tundra biome, a bioclimatic region characterized by a cold bioclimate (i.e., the tundra bioclimate) which does not allow growth of trees and tall shrubs. Such conditions are realized both in polar regions and in the alpine altitudinal belt of mountain ranges across the world, with elevation of the alpine belt increasing from the polar circles towards the Equator (; ; Table 1).

Table 1

Level 1Level 2Level 3Thermotypes (Tp)Ombrotypes (Io)
Domain and macrobioclimate (Tp and Io)Ecozone and bioclimateBiomesSubbiomesRegional subbiomesInfraThermoMesoSupraOroCryoroHyperarid (< 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-boreal1. Tundra1a. Polar tundra1a.1. Circumarctic polar tundraXXXXX
1a.2. Anctarctic polar tundraXXX
1b. Tundras of the temperate mountains in cryoro belt1b.1. Eurasian mountains cryoro tundrasXXX
1b.2. North American mountains cryoro tundrasXXX
1b.3. Austral mountains cryoro tundrasXXX
1c. Tundras of the tropical mountains in cryoro belt1c. 1. Paleotropical mountains cryoro tundrasXXX
1c. 2. Neotropical mountains cryoro tundrasXXX

Hierarchical bioclimatic classification regarding the tundra biome and its subbiomes, from (DOI: 10.3897/VCS.139673).

All relevant definitions can be found in . In brief, Tp is the sum of positive mean monthly temperatures; thermotypes are thermal regimes calculated from Tp; Io is the Rivas-Martínez Ombrothermic Index, based on the quotient of positive precipitation and Tp; ombrotypes are water-availability regimes calculated from Io; and cryoro is a thermotype characteristic of high altitudes and latitudes.

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 (). Consequently, tundra habitats may exhibit a mosaic-like structure determined by different microenvironmental conditions which are in turn reflected in numerous plant communities, from snow-bed communities in concave terrains, to grasslands on flat or moderately inclined slopes, to communities of screes and wind-exposed ridges in peculiar habitats (; ; ). As a consequence of such habitat heterogeneity, many arctic-alpine plant species exhibit relatively broad realized ecological niches. For example, Saxifraga oppositifolia L. can be found at alpine and subnival altitudes where it experiences shorter growing seasons due to low temperature (). Salix reticulata L., which usually inhabits snow-beds, can be also found in the drier habitats of alpine grasslands. Bistorta vivipara (L.) Delarbre can grow on substrates with very different geochemical profiles, from purely carbonatic to decalcified substrates and even on ophiolites ().

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 (). We will use the second definition, so that photoperiod is both distinguishable from the astronomical concept of daylength and relevant to a wide array of plant processes besides photosynthesis. Because of the terrestrial tilt, arctic-alpine plant populations at different latitudes not only experience different daylengths but also different ranges of sun elevation during the day, which in turn affects the spectral quality of incident light (Figure 1E). Moreover, micro-topographical variables such as slope and aspect influence the amount of incident light (; ; ; ).

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) (). Light cues exert regulatory effects on hormone production and on the circadian clock, allowing the assessment of nighttime by the plant (; ). In addition, spectral ratios, such as R: FR (i.e., red/far-red), B: R (i.e., blue/red) and B: G (i.e., blue/green) have been suggested as a relevant yet underused class of measurements in applied photobiology, given their physiological implications for differential growth and circadian attuning (; ; ). This is especially relevant in high-latitude light environments. Circadian-compatible patterns have been observed for gas exchange and metabolic pools under continuous sunlight in the Low Arctic (68°N), whereas relaxation of circadian activity in pigment cycles has been observed in the High Arctic (78°N) (; ). Although daylength did not change between those two studies, the light environment was indeed different and sun elevation differences did significantly alter the R: FR ratio the plants experienced during the Polar Day (Figure 1F). Divergent light responses and thermal stabilities of phytochrome B have been observed () between the arctic-alpine species Cardamine bellidifolia L. and the alpine species Cardamine nipponica Franch., exemplifying how not only the light environment but also the genetic and functional variability of the photoreceptors shape the plant response.

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 (). We selected 22 papers concerning arctic-alpine species, which acknowledge, discuss, monitor or manipulate light (; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ). These studies offer a comprehensive overview of the wide range of approaches to the study of the response of arctic-alpine plant species to the changing environment (Table 2; Appendix 1: Supplementary Table S5). They showcase that light was rarely investigated to identify ecophenotypes in different light environments. Both single-site and multi-site study areas were chosen, some of the latter across latitudinal or altitudinal gradients (Table 2). In terms of phenotypic plasticity, single-site studies allow comparisons either among species or among populations and/or communities across abiotic gradients (Figures 2A, E, F; ; ; ; ). Multi-site studies also allow comparisons across altitudinal and/or latitudinal gradients between different populations and/or communities (Figures 2B–C; ; ; ; ; ; ; ) or between communities over the tundra biome (Figure 2D; ). Experimental designs included field-based (e.g., common gardens or monitoring sites) or controlled experiments (i.e., labs, greenhouses or research stations), with biotic and abiotic data being acquired both through field measurements and with remote-sensing techniques (e.g., phenocams; Table 2). Assessment of abiotic variables can be performed at macrohabitat, microhabitat or multi-scale level (Table 2). Within the same scale, abiotic and biotic variables can be further categorized and assessed with multiple direct and indirect measurements or with proxies (Table 2). Different definitions of the growing season were given, using either green-up or snowmelt for defining the start of the growing season and using either senescence or snowfall for defining the end of the growing season (; ) (; ). Such strong heterogeneity in the experimental approach not only hinders result comparison but also limits our understanding of the differences in phenotypic plasticity and adaptation among populations of arctic-alpine plant species.

Table 2

Short citationLocationsDesignLightTemperatureWaterSnow
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

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 (; ; ; ). Coherently with the boundary of the Last Glacial Maximum (LGM), southern and northern phenotypes of Oxyria digyna (L.) Hill were found in North America, differing mainly by presence/absence of rhizomes, degree of inflorescence branching, leaf length-to-width ratio and stamen number (). Southern populations were reported (1) to be ‘strikingly more branched’ than the northern phenotypes, (2) to have a higher length-to-width leaf ratio, (3) to present flowers with only two stamens or a variable number of stamens compared to the northern populations presenting flowers with six stamens, and (4) to often lack rhizomes (). Similar differences were found in European populations of Oxyria digyna, for which different traits seemed to define ‘latitudinal boundaries’, possibly due to continental differences in the glacial history (). For instance, the southernmost Oxyria digyna population in the Alps presented higher length-to-width ratio than the northern populations. However, inflorescence branch number decreased markedly only in the northernmost European population located in the Svalbard Islands (). One of the major differences in morphotypes consisted in a variable number of stamens in the European High Arctic which was never observed in the North American High Arctic (; ). From a phenological standpoint, a clinal increase in photoperiodic requirements for flowering induction in parallel to a decrease in the number of flowers were reported for both European and North American Oxyria digyna populations (; ). The presence of rhizomes seemed to act as a compensation for lower sexual reproduction success at higher latitudes in favor of vegetative and clonal growth (). Moreover, leaf-out and leaf senescence also followed a latitudinal cline with overall earlier onsets in high-latitude populations (). Metabolic acclimation to temperature has also been observed, with higher plasticity in alpine ecotypes (; ). Nonetheless, Oxyria digyna was believed to be well adapted to withstand negative effects of global warming (). This meanwhile highlights the importance of adaptation to non-climatic factors in the context of climate change responses (). Ecotypic differences have also been observed across latitudinal gradients for Eriophorum vaginatum L (), Thalictrum alpinum L (). and Viscaria alpina (L.) G.Don (; ). The light environment can even change across altitudinal gradients. For instance, alpine and subnival populations of Saxifraga oppositifolia L. experience different snow-free season lengths. As a result, their reproductive phenophases are asynchronous, thus different populations are exposed to different daylengths and spectral regimes during the same phenophases (). Both Eriophorum vaginatum L. populations in Alaska and Saxifraga oppositifolia L. populations in the European Alps seemed to be adapted to the length of the growing season determined either by latitude or altitude, respectively (; ). Photoperiodic and spectral cues were indicated as possible regulating factors employed in phenological attuning to recurring seasonal patterns (; ). North American populations of Thalictrum alpinum L. showed different photoperiodic requirements, different photosynthetic light efficiency and temperature optima for photosynthesis, exemplifying the interplay of climatic and non-climatic environmental factors on plant physiology (). Northern European populations of Viscaria alpina (L.) G. Don showed higher plasticity in their response to both drought and heat spells as a function of higher genetic variability, although clear local photoperiodic requirements have not been recorded among populations (; ). Lack of evidence for photoperiodic requirements may indicate a greater degree of phenotypic plasticity in northern European populations. Under global warming, phenotypic plasticity can buffer organisms against environmental change (). The degree of phenotypic plasticity of arctic-alpine plant populations is a good indicator of their ability to persist within a given photic regime, whereas adaptations to strict seasonal patterns may be detrimental under a changing climate due to thermal-photic mismatches (, ). Such mismatches could not only affect their persistence within their current range, but can also reduce their capacity to colonize newly suitable habitats (). Phenological shifts in response to warming have been recorded in the Arctic under experimental conditions (). Yet, the polar amplification predicted by the IPCC () could exacerbate thermal-photic mismatches for populations with a greater reliance on photoperiodism for seasonal entrainment of phenology at higher latitudes (). So, greater attention to plant photobiology and photic constraints could substantially improve our understanding of arctic-alpine plant population responses to climate change.

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 (). However, neither field light manipulations nor multi-site experimental designs are an indispensable requirement for population comparisons. Transplants, if feasible, can indirectly manipulate photoperiod (). This method can tackle night simulation, which is difficult to be artificially recreated in the Arctic. Manipulations of snow regime or altitudinal comparisons can also indirectly investigate photoperiodic requirements (; ). Assessment of the light environment itself can be performed both indirectly (e.g., based on day of year) and directly [either by measuring spectral light or through physiological measurements related to photosynthesis (see Appendix 1: Supplementary Table S5)]. On the other hand, population-specific data from single-site studies can be compared in meta-analyses, provided that the experimental protocols are similar enough to allow reliable comparisons. In this regard, the Tundra Phenology Database () collected phenological data obtained using the ITEX protocol. Moreover, single-site species comparisons can also offer population-specific insights. For example, in the European Alps populations of Saxifraga oppositifolia L. proved to be insensitive to photoperiod, populations of Oxyria digyna (L.) Hill exhibited a long-day requirement and populations of Sibbaldia procumbens L. displayed a short-day requirement ().

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.

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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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The author(s) declared that generative AI was not used in the creation of this manuscript.

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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

References

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

Updates

Copyright

*Correspondence: Lisa Brancaleoni,

Disclaimer

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.

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