Saara M. Hartikainen
T. Matthew Robson- 1Canopy Spectral Ecology and Ecophysiology Group (CanSEE), Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
- 2National School of Forestry, University of Cumbria, Ambleside, United Kingdom
Climate change is driving many mountain plant species to higher elevations and northern plant species to higher latitudes. However, various biotic or abiotic constraints may restrict any range shift, and one relevant factor for migration to higher elevations could be species’ ability to tolerate high UV-doses. Flavonoids are engaged in photoprotection, but also serve multiple ecological roles. We compared plant optical leaf trait responses of a large set of taxa growing in two botanical gardens (French Alps and southern Finland), considering potential constraints imposed by the relatedness of taxa and the legacy of climatic conditions at plants’ original collection sites. The segregation of optically measured leaf traits along the phylogeny was studied using a published mega-tree GBOTB.extended.tre for vascular plants as a backbone. For a subset of taxa, we investigated the relationship between climatic conditions (namely solar radiation, temperature and precipitation at a coarse scale) at the plants’ original collection site and current trait values. Upon testing the phylogenetic signal (Pagel’s λ), we found a significant difference but intermediate lambda values overall for flavonol or flavone index (Iflav) and anthocyanin index (Iant), indicating that phylogenetic relatedness alone failed to explain the changes in trait values under a Brownian motion model of trait evolution. The local analysis (local indicator of phylogenetic association) indicated mostly positive autocorrelations for Iflav i.e. similarities in optically measured leaf traits, often among species from the same genus. We found significant relationships between climatic variables and leaf chlorophyll index (Ichl), but not Iflav, particularly for annual solar radiation. Changes in plants’ Iflav across microhabitats differing in UV irradiance and predominately high Fv/Fm indicated that most plants studied had sufficient flexibility in photoprotection, conferred by Iflav, to acclimate to contemporary UV irradiances in their environment. While not explaining the mechanisms behind observed trait values, our findings do suggest that some high-elevation taxa display similar leaf flavonoid accumulation responses. These may be phylogenetically constrained and hence moderate plants’ capacity to adjust to new combinations of environmental conditions resulting from climate change.
1. Introduction
Plants growing in mountain regions are exposed to high solar and UV radiation (Blumthaler, 2012), while low temperatures restrict the period of growth and retard physiological processes (Wielgolaski and Karlsen, 2007; Körner et al., 2019). Plant species have adapted to these conditions by evolving multiple protective mechanisms against excessive sunlight which often function simultaneously (Streb and Cornic, 2012 and references therein; Fernández-Marín et al., 2021). These mechanisms include avoiding excess light energy through leaf structure and position (angle), chloroplast relocation, the dissipation of excess absorbed energy via xanthophyll cycle pigments and antioxidant systems which prevent damage to PSII (Ort, 2001; Demmig-Adams and Adams, 2006). Flavonoids are multifunctional secondary metabolites ubiquitous in plants (Grotewold, 2006) that contribute to photoprotection (Agati et al., 2020). This potentially makes the flavonoid responses particularly relevant for plant species from high elevation environments.
In response to climate change, species must adjust to new conditions or migrate to a location where conditions are suited to their ecological requirements. Some mountain species have been reported to shift their distribution to higher elevations (Rumpf et al., 2018; He et al., 2019), but where suitable microhabitats remain the displacement of species may be slower (Scherrer and Körner, 2010 and Scherrer and Körner, 2011). Climate-change-associated range shifts are predicted for many species globally (Chen et al., 2011; Parmesan and Hanley, 2015), including projected changes in high latitude plant species (Wróblewska and Mirski, 2018). Whether in situ or during migration, trait adaptation and phenotypic plasticity are the processes that determine how well plants tolerate and acclimate to new conditions (Merilä, 2012; Merilä and Hendry, 2014). The potential limitations imposed by traits involved in photoprotection may constrain migration to higher elevations, which typically exposes plants to larger fluctuations in temperature and sunlight, including higher maximum UV-B irradiance.
The phylogenetic relatedness of species affects the extent of independence in their traits (Harvey and Pagel, 1991), albeit the presence of a phylogenetic signal should not be presumed (Losos, 2008). A phylogenetic signal refers to the “tendency for related species to resemble each other more than they resemble species drawn at random from the (phylogenetic) tree” (Blomberg and Garland, 2002). However, similar trait values among related taxa may be a result of various evolutionary processes (Losos, 2008; Revell et al., 2008). It is therefore important to study how plant functional traits are distributed across different taxonomic levels (genus, species and infraspecific taxa) to gain knowledge of their inter-relatedness and potential constraints in their responses. Some species or populations have been found to maintain high concentrations of leaf flavonoids or UV-absorbing compounds, appearing relatively insensitive to changes in environmental conditions, including UV-B irradiance (Barnes et al., 1987; Ziska et al., 1992; Nybakken et al., 2004a). In contrast, the vast majority of species studied show variation in leaf flavonoid or phenolic contents according to environmental cues, such as fluctuating solar radiation (Searles et al., 2001; Agati et al., 2009; Barnes et al., 2013) or temperature (Bilger et al., 2007). For instance, Silene vulgaris (Moench) Garcke plants growing at high elevations contain more foliar non-anthocyanin flavonoids than those at low elevation (Berardi et al., 2016). Clines in species’ traits such as these are often found along environmental gradients (Woods et al., 2012; de Villemereuil et al., 2018), and in some cases a relationship between leaf UV-absorbing compounds and original elevation has been reported (Ziska et al., 1992; Rozema et al., 1997). For instance, ecotypes of dwarf shrub Dryas octopetala L. have been found to differ in their epidermal UV-B transmittance according to latitude and received UV-B radiation (Nybakken et al., 2004a). While elevated UV-B radiation is well known to elicit accumulation of flavonoids and related phenolic compounds in plants (Searles et al., 2001), there is often limited evidence supporting a general positive correlation between leaf flavonoid contents and received solar UV radiation (Nybakken et al., 2004b; Jaakola and Hohtola, 2010; Barnes et al., 2016b). Such a relationship may be conditioned by leaf development (Laitinen et al., 2002) and leaf inclination angle (Grant, 1999), respectively affecting patterns of leaf flavonoids, and the incident UV-B doses received by plants.
Plant functional traits may be used to study species responses to increasing temperatures with climate change (Cornelissen and Makoto, 2014). Furthermore, leaf trait responses to UV-B radiation and their constraints have been assessed for some species under controlled experimental settings (e.g. Watermann et al., 2020). However, it can be difficult to scale up the results from experimental approaches to interpret how differing taxa will respond to changes in their habitats. We assessed optically measured leaf traits, particularly the index estimating leaf adaxial flavonols and/or flavones (Iflav), from a large set of taxa growing together in a common environment mostly at high-elevation and tried to detect the signals of any potential constraints on trait values connected to phylogenetic relatedness and legacy of climate at plants’ origin. We further investigated whether the studied taxa show flexibility in Iflav according to spectral irradiance in their microenvironment at their current growing location, in an effort to distinguish potential drivers of Iflav. We specifically ask: (1) whether patterns in these optically measured leaf traits, following the phylogenetic relatedness of taxa can be identified from a sample of 622 taxa, and (2) whether climatic conditions at the site of origin of the plants were associated with their Iflav. If present, these two response patterns could potentially constrain the Iflav response. To study these patterns in leaf traits, we made optical measurements from 622-672 plant taxa growing in a high-elevation environment at an alpine botanical garden (Col du Lautaret, France) and from 86 taxa (including 27 of the same species found in the alpine botanical garden) from a high-latitude environment in the Kumpula Botanical Garden (Helsinki, Finland). These two study sites differ in their solar irradiance, but also in air temperatures and seasonality (Figure S1).
2. Materials and methods
2.1. Study sites
The study was conducted in an alpine botanical garden at the Joseph Fourier Field Station (Université Grenoble Alps, France) on the Col du Lautaret in the French Alps over two consecutive summers (19.06.-01.07.2014 and 21.06.-06.07.2015). This alpine botanical garden (2100 m a.s.l.; 45°2’ 9” N, 6°23’ 59” E) holds a collection of mainly high-elevation species and some high-latitude species originally collected from different parts of the world. These plants were grown from seeds acquired either directly from plants in their original habitat, or from other botanical gardens. Prior to planting, seeds germinated at the university facilities in Grenoble and acclimated to conditions in the alpine botanical garden at their seedling nursery. We only measured plants that were well-established growing in the alpine botanical garden. Only few trees were sampled, while most plants were forbs, dwarf shrubs or shrubs, representing typical features of mountain flora (e.g., for high snowbed species: Körner et al., 2019). Weather data were obtained from e-METSYS/JFAS weather station (Vantage Pro 2 Plus, Davis Instruments, Hayward, CA, USA) located at the study site. Daily maximum photosynthetically active radiation (PAR: 400-700 nm) over the sampling period in both years is presented in Figure S2.
To provide a counterpoint to conditions at the alpine botanical garden and investigate potential variation in optically measured leaf traits, plants were also sampled from 86 taxa growing at high latitude in the Kumpula Botanical Garden, Helsinki (14 m a.s.l.; 60° 12’ 7” N, 24° 57’ 26” E; LUOMUS, University of Helsinki, Finland) during June of 2015. The Kumpula Botanical Garden contains plant taxa from Europe, eastern North America, western North America, the continental Far East, and Japan (LUOMUS, 2021). Sampled taxa represented the same genera and families, or in 27 cases the same species, as those sampled in France. Most sampled plant taxa from Kumpula Botanical Garden were native to France and little over half were part of the native Finnish flora, while 40% were native to both areas. Temperature and solar radiation data were obtained from a weather station located in Kumpula maintained by the Finnish Meteorological Institute. Daily solar radiation (global, direct and diffuse) for the sampling period in 2015 are presented in Figure S3. Monthly fluctuations in air temperature, solar radiation and UV-B radiation at both sites are given in Figure S1.
Collection locations of the plant taxa growing in Kumpula were extracted from the database of Finnish Museum of Natural History (LUOMUS). The locations of the original seed collection sites of the taxa in the alpine botanical garden were obtained from the records of the alpine botanical garden courtesy of Rolland Douzet. The approximate coordinates were obtained based on this information using maximum, typically southern, slope exposure. The same protocol was used for those taxa from Kumpula Botanical Garden missing origin coordinates, but with elevation and specific location information. Because of the scope for small-scale micro-environmental effects, these coordinates present only rough approximations of the plants’ environmental conditions.
2.2. Solar radiation and weather data for study and original collection locations
In addition to data obtained from weather stations on site, climate data for the botanical gardens and the plants’ original collection sites were obtained for variables reflecting their temperature, precipitation (annual mean temperature/precipitation and their seasonality, min/max temperature of the coldest and warmest months) and solar radiation (annual mean solar radiation, its seasonality, highest and lowest weekly solar radiation, solar radiation of the wettest/driest/warmest/coldest quarters in W m-2) from WorldClim (Bio 1-15, Fick and Hijmans, 2017) and CliMond (Bio 20-27, Hutchinson et al., 2009; Kriticos et al., 2014) databases based on observations for years 1970-2000 and 1961-1990 respectively. Additionally, mean monthly solar radiation (kJ m-2 d -1) was acquired from WorldClim (Fick and Hijmans, 2017). The resolution of the data is 30 arc seconds for Bio 1-15 and 10 arc minutes for Bio 20-27. A global UV-B radiation climatology based on remotely sensed records from NASAs Ozone Monitoring Instrument (Aura-OMI) over 2004-2013 (Beckmann et al., 2014) was used to compare UV-B radiation at study sites and at the 58 original collection locations (resolution of 15 arc minutes).
To account for micro-environmental variation in solar irradiance throughout the alpine botanical garden (29 locations), we measured solar spectral irradiance from the UV-B to near-infrared (NIR) regions (290-900 nm) with a CCD array spectroradiometer Maya 2000 Pro (Ocean Optics, Dunedin, FL, USA) with D7-H-SMA cosine diffuser (Bentham Instruments Ltd., Reading, UK) (Supplementary A2).
2.3. Optical measurement of leaf traits, chlorophyll fluorescence and estimation of quenching parameters
Indices of relative absorbance by leaf adaxial side flavonols or flavones i.e. Iflav (suggested major absorbers: flavonols in dicotyledons and flavones in monocotyledons, Cerovic et al., 2002 and Cerovic et al., 2012) and anthocyanins (Iant), and leaf chlorophyll content (Ichl) were measured non-invasively with an optical leaf-clip Dualex Scientific + (Force-A, Paris-Orsay, FR; henceforth Dualex). The formula for each index is given in Table S1. Very low values of Ichl < 7 AU were eliminated as potential errors. In order to compare leaves under equivalent light environments when UV irradiance is expected to be maximal, measurements were centred around solar noon (no more than ± 3 hours) to exclude significant diurnal changes in UV absorbance by flavonoids and chloroplast movement (Williams et al., 2003; Barnes et al., 2016a). The first distal adult leaf of the main stem was sampled: usually this was the 3rd or 4th leaf from the top which was not shaded by other leaves. In addition to optical measurements, locations within the study sites were categorised according to solar radiation exposure on a scale of 1 (mostly shaded during the day by other plants) to 4 (exposed to full sunlight throughout the day). Plants growing in the alpine botanical garden were visually categorised for their phenology (scale of 1-10, e.g. not fully opened leaves = 1, flower buds about to open = 5, senescent = 10), and approximate leaf inclination angle; the angle between the horizon and leaf blade (scale of 1-9, e.g. for erect = 1, horizontal = 5, and downward leaves = 9).
In 2014, all species growing in the alpine botanical garden were assessed apart from those with leaves too small or thick to be measured with a Dualex. In total, plants from 672 taxa, including some plants at differing developmental stages, were measured (10 172 measurements). These taxa mainly included 572 species plus 42 taxa identified only to the genus (Table S2), covering 229 different genera overall. Some of the nomenclature in botanical garden was outdated or lacking, and during sampling period not all measured taxa could be fully identified, Thus, some taxa were identified after this period from photographs, but these were not always sufficient for species-level identification. These plants were identified only to genus-level. Some analyses allowed for the distinction of different developmental stages (e.g. seedlings) in those species where such an approach was deemed necessary (Table S2). Sets of leaf optical measurements were made from individual plants, or ramets originating from vegetative growth which were otherwise indistinguishable (≥ 4 individuals per species). For most large tree and shrub species (e.g. Salix), the individual count was below this, but we included these species in the analysis to provide coverage of a wide variety of life-forms. Hence, the results for shrub and tree species with fewer than four individuals should be considered indicative. Based on these data, the following year (2015) a set of 86 taxa, representing differing strategies in leaf flavonol/flavone, anthocyanin and chlorophyll content, were selected to test the relationship between Iflav and chlorophyll fluorescence. Measurements were made with a mini-PAM fluorometer (Heinz-Walz GmbH, Effeltrich, Germany) from an equivalent set of leaves to those sampled with the Dualex from same group of plants (428 plants in total). Maximum quantum efficiency of PSII photochemistry (henceforth: Fv/Fm) was measured from leaves predawn (1-3 h before sunrise) in the dark, and at midday (approximately ± 3 h from solar noon) after 30 min dark adaptation. Operating efficiency of PSII photochemistry (henceforth: ФPSII) was measured from intact sun-adapted leaves at midday (± 1 h around solar noon) and mid-morning (between 2-4 h after daybreak). The diurnal measurements of ФPSII were made to coincide with peak solar irradiance at midday, but to control for potential midday depression in photosynthetic capacity and ФPSII (e.g. Guo et al., 2009; Koyama & Takemoto, 2014) we repeated these measurements at mid-morning. Non-photochemical quenching (NPQ) was calculated as (Fm-Fm’)/Fm’ (Murchie and Lawson, 2013), using both predawn and midday Fm values. Related quenching parameters Y(NO) and Y(NPQ) were calculated according to Klughammer and Schreiber (2008) for both mid-morning and midday measurements. These parameters describe the fraction of energy either passively dissipated in form of heat and fluorescence, Y(NO), or dissipated in form of heat through the regulated photoprotective NPQ mechanism, Y(NPQ) (Klughammer and Schreiber, 2008). Since repeated fluorescence measurements were not exclusively made from the same leaves, we mainly used species’ means for NPQ, Y(NO), Y(NPQ) to account for variability among same group of plants. To assess the relationship between Iflav and absorbance of leaf extracts measured with a spectrophotometer, we sampled plants of 49 taxa from the alpine botanical garden in 2015. All related details may be found in Supplementary A3. The same protocol described above was used for optically measured leaf traits from the set of plants growing in Kumpula Botanical Garden.
2.4. Data analyses
A multivariate approach was used to distinguish groups of taxa with similar optically measured leaf traits from 672 plant taxa growing in the alpine botanical garden. This approach entailed creating hexagonal Kohonen self-organising maps (SOM) with 25 nodes (Kohonen, 1982; R package kohonen by Wehrens and Kruisselbrink, 2018). The number of nodes were selected based on retaining a minimum number of observations (taxa) per node i.e. no empty nodes. This technique provides a simple low-dimensional visualisation of patterns found in high-dimensional data using unsupervised learning (Kohonen, 1982; Wehrens and Kruisselbrink, 2018). Similarly, Kohonen SOMs were also used to segregate optically measured leaf traits from a smaller subset of taxa re-sampled in 2015 in the alpine botanical garden.
To investigate whether patterns in optically measured leaf trait values among the 622 taxa (i.e. leaving out genus -level measurements, hybrids and seedlings) from the alpine botanical garden followed the relatedness of the taxa, we first used V.PhyloMaker (Jin and Qian, 2019), a tool which generates phylogenies using a mega-tree as a backbone (GBOTB.extended.tre, Jin and Qian, 2019). This mega-tree is a combination of previously published phylogenies: GBOTB for the seed plants by Smith and Brown (2018), and the pteridophytes clade from Zanne et al. (2014) phylogeny, with some updates and corrections (further details in Jin and Qian, 2019, also see Qian and Jin, 2016). We used nomenclature following the Plant List database (Plantlist.org), but if originally marked species were unresolved without a clear indication of their accepted nomenclature, the original name was used and species was typically added as a basal polytomy within its family or genus (scenario 1 in Jin and Qian, 2019). Infraspecific taxa (i.e. subspecies and variety) were included in our phylogeny by combining them with their parental species as suggested in Qian and Jin (2016). We then tested for a phylogenetic signal among leaf traits by using Pagel’s lambda (λ) test, which relies on a Brownian motion model of trait evolution (Pagel, 1999), using phytools R package (Revell, 2012 and Revell, 2013) (transformation illustrated in Figure S4). These results were further compared with an autocorrelation-based method, Moran’s I, and with Blomberg’s K, both calculated according to methods in R package phylosignal (Keck et al., 2016; Moran’s I: Gittleman and Kot, 1990; Blomberg’s K: Blomberg et al., 2003). Finally, to identify local trait patterns, and particular taxa of interest expressing these patterns, we used local indicator of phylogenetic association i.e. local Moran’s I (Anselin, 1995) calculated with R function lipaMoran (R package phylosignal; Keck et al., 2016). We repeated above-mentioned phylogenetic analyses separately for leaf traits measured from 86 taxa growing in Kumpula Botanical Garden.
To explore the relationship between climatic conditions at the original collection site of the plants (mostly data available from plant taxa sampled in Finland) and their mean Iflav from each location we used Spearman’s rank correlation (n = 58, including 62 taxa). For 49 locations trait value was from one taxon, while elsewhere two or more taxa were present, whereby a mean trait value was calculated. The differences between predawn and midday Fv/Fm for each species, and Iflav between the two consecutive years were assessed using Student’s t-test or Welch t-test for homo- or heterogenous variances respectively. A non-parametric Wilcoxon rank sum test was used for non-normally distributed data and p- values were adjusted using Benjamini and Hochberg (1995) correction method. All data exploration and analyses were performed in R version 3.6.1 (2019, The R Foundation for Statistical Computing, Vienna, Austria). All figures except SOM and phylogenetic trees, were created with R package ggplot2 (Wickham, 2016).
3. Results
3.1. General patterns among taxa in optically measured leaf traits and chlorophyll fluorescence
Based on optically measured mean leaf traits of the 672 taxa or developmental stages sampled in the alpine botanical garden, taxa were classified into nodes representing similar trait values using unsupervised Kohonen self-organising map (SOM). The six nodes with highest loadings (covering 249 taxa) were characterised mostly by relatively high Iflav and exposed light condition, while the other leaf trait values were mixed in these nodes (Figure 1). Only a few nodes were characterised by relatively low Iflav (Figure 1), and overall only two taxa out of 672 taxa had mean Iflav below 0.5 AU (Adoxa moschatellina L., Maianthemum: 0.3% of taxa), and 25 taxa (3.7% of taxa) had a mean Iflav below 1.0 AU (Table S3). While Iflav was high among many of the plants sampled (Figure S5), mean Iant was rarely relatively high, and relatively high mean Ichl was not found in most plants (Figure 1). Although shaded light conditions did not consistently coincide with relatively low Iflav in SOM, nodes with the lowest Iflav tended to contain plants from more-shaded conditions (Figure 1). In fact, plants experiencing prolonged shading over the day had lower Iflav values compared to the overall mean Iflav (p ≤ 0.015, Figure S6), but the Iflav of plants experiencing only light or minor shading over the day did not differ from the Iflav of those taxa in full sun (Wilcoxon rank sum test: adjusted p -value ≥ 0.1). Although neither plant phenology nor approximate leaf inclination angle produced any general distinguishable patterns of segregation by leaf traits in the SOM (Figure 1), leaves especially with below horizontal angles, and those few newly produced leaves measured, had a higher Iflav than the overall mean (p ≤ 0.048, Figures S7, S8). The range (max - min) of Iflav by taxon had a significant but very weak negative relationship with mean Iflav, although this relationship was stronger for plants from Kumpula Botanical Garden than from the alpine botanical garden (French Alps: r = -0.16, p < 0.0001, Kumpula: r = -0.43, p < 0.0001) and slightly stronger in unshaded plants (Figure S9).
Figure 1 Relative differences in leaf traits from 672 taxa in the alpine botanical garden (Col du Lautaret, France) shown in a hexagonally arranged Kohonen self-organising map (SOM) with 25 nodes. Plants were sampled for optically measured leaf traits; indices of adaxial flavonol/flavone (Iflav, dark blue, above right wedge) and anthocyanin (Iant, turquoise, above left wedge), and leaf chlorophyll (Ichl, blue, above middle wedge) during the summer of 2014. Panel (A) shows the relative differences (radius of each wedge) in three scaled mean leaf traits in the upper half circle. The lower half circle contains relative differences in categorised light condition of the plants, categorised phenological advancement, and categorised leaf inclination angle. Panel (B) shows loadings of the nodes i.e., number of taxa grouped in the node as points, and neighbour distance (sum of distances to all immediate neighbours) as colour scale with red for the greatest distance. These analyses allowed for distinction of different developmental stages of those species where such an approach was deemed necessary. Range in mean optically measured leaf traits among taxa are given lower right.
Patterns of optically measured leaf traits from taxa growing in Kumpula Botanical Garden roughly resembled those of plants growing in the alpine botanical garden, in that their mean Iflav was generally high, and likewise only a small minority of taxa (only Oxalis acetosella L. from Kumpula Botanical Garden) had a mean Iflav < 0.5 AU (Table S3). However, lower Iflav values were generally more common from Kumpula Botanical Garden (< 1.0 AU, 16.8%) than among plants growing in the alpine botanical garden (< 1.0 AU, 5.9%) (Figure S5; Table S3). As in the alpine botanical garden, plants growing in the most shaded environments over the whole day in Kumpula had a lower Iflav than the mean Iflav from all plants (p < 0.0001, Figure S10). Among plants with low (< 1.0 AU) mean Iflav, only one taxon, the genus Rubus L., was common to both botanical gardens, whereas among those taxa with the highest mean Iflav (> 1.8 AU), several genera were common to both sites (Geranium, Primula, Rhododendron and Vaccinium) (Table S3). However, these genera had diverse patterns of Iflav, whereby an individual genus often included some species among those with the highest and the lowest mean Iflav (Table S3). We did not discern any strict patterns related to life history, leaf longevity, leaf form, or whether taxa were mono- or dicotyledons, that segregated among plants with high or low Iflav, although these relationships were not explicitly tested.
Finally, there were no significant differences between predawn and midday Fv/Fm values from most of the taxa we sampled (67 from 86 taxa, 77.01%, Table S4). However, in 36 taxa one or more predawn Fv/Fm value was below 0.78 i.e. a drop of ≥ 0.05 (data not shown) beneath our optimal Fv/Fm value of 0.83 (Maxwell and Johnson, 2000). In all taxa where significant differences between predawn and midday Fv/Fm were found (19 taxa, 22.99%), mean values for predawn Fv/Fm were higher than midday values (Table S4). The mean NPQ for taxa sampled from the alpine botanical garden was generally high (Table S4). Mean (± SE) NPQ calculated at mid-morning was 4.30 ± 0.13, and at midday it was 3.76 ± 0.12 for the 86 taxa assessed (Table S4).
We used a Kohonen SOM based on those taxa growing in the alpine botanical garden, to explore the taxon -level relationships between photochemical quenching parameters and optically measured leaf traits. Nodes with a relatively low predawn Fv/Fm were also characterised by relatively high Y(NO) (describing the fraction of energy passively dissipated in form of heat and fluorescence) and relatively low NPQ (Figure S11), while only one of these taxa, Lilium martagon L., also had a notably high mean Iflav (1.93 AU). Considering the relative trait values among taxa, those taxa with the highest NPQ also had the highest mean Iant (e.g. Vaccinium, Salix and Penstemon species; 0.22-0.49 AU). The node with most taxa (35) was characterised by relatively high Iflav and relatively high Fv/Fm (Figure S11).
3.2. Variation in Iflav according to the local light environment and interannual comparison
We found a significant overall positive correlation between the mean Iflav of plants and their local unweighted UV irradiance (r = 0.45-0.47, p ≤ 0.046), likewise when expressed as biologically effective UV doses calculated according to various biological spectral weighting functions (r = 0.44-0.52, p ≤ 0.047) (Supplementary A2). On the other hand, the relationship between spectral irradiance and mean Iflav was not significant for spectral regions within the PAR nor for calculated spectral photon ratios (Supplementary A2).
The differences in Iflav between two consecutive summers among plants growing in the alpine botanical garden were significant for the total of 86 taxa sampled in both years (Figure S12, right panel). However, the Spearman’s rank correlation for Iflav from these same taxa between consecutive summers was significant with r = 0.58 and p < 0.0001 (Figure S12, left panel), indicating consistencies among Iflav of taxa between these two years.
3.3. Variation in optically measured leaf traits with the environmental conditions at plants’ original collection sites
We did not find significant relationships between the climatic conditions at plant origin and their current Iflav after correcting for multiple testing (Table S5). Among the optically measured leaf traits, Ichl, had the strongest relationship with variables associated with solar radiation (Bio 20, Bio 26, r ≥ 0.55, p ≤ 0.0007), UV-B radiation (annual mean, seasonality, during highest month and highest quarter, mean during April, August and September, r > 0.49, p ≤ 0.0018) and elevation (r = 0.52, p = 0.00103) at the original collection site (Table S5). Weaker relationship between Ichl and latitude (r = -0.38, p = 0.019) was also recorded, and contrary to Ichl, Iant had a negative relationship with elevation (r = -0.37, p = 0.023) (Table S5). Because the correlation of Ichl was negative with latitude and was positive with elevation of the original collection site, Ichl was also significantly correlated with many of those climatic variables that change concurrently along these geographical gradients (Table S5). Similar results were obtained when analyses were rerun using minimum, usually northern, slope exposures for those species with approximated location (data not shown). There was also no confounding evidence that current light conditions where the plants were growing were related to the climatic conditions of origin (Table S5).
3.4. Comparing variation in optically measured leaf traits and relatedness of taxa
Pagel’s λ test estimating the phylogenetic signal, namely whether related taxa would have more similar leaf trait values, found that the fitted λ value was intermediate (0 < λ < 1), but the likelihood-ratio test against the λ = 0 transformation gave significant differences for all leaf traits measured from plants growing in the alpine botanical garden (Table 1). The fitted λ value was slightly higher for Iflav and Iant compared to Ichl (Table 1). It was also slightly reduced for Iflav and Iant when only unshaded taxa were included (Table 1; Figure 2 and Figure S6). On the contrary, for the smaller set of taxa growing in the Kumpula Botanical Garden, Pagel’s λ test gave significant results only for Ichl and the fitted λ value was higher than for the set of taxa growing in the alpine botanical garden (Table 1). A phylogenetic-signal estimation method based on autocorrelation (Moran’s I), as well as Blomberg’s K, gave results that mirrored those of Pagel’s λ for plants growing in both botanical gardens, whereby the values were low but gave significant results for some leaf traits (Table 1). Some differences between the methods were found, whereby the highest value of Moran’s I amongst optically measured leaf traits was for Iant, and Blomberg’s K gave non-significant results for traits other than Iflav from the alpine botanical garden (Table 1; Figure S13). Graphical representations of the autocorrelation at different lags of distance (i.e. phylogenetic correlograms assessing the signal depth), indicated a weak positive autocorrelation with slightly shorter lags of distance and no negative autocorrelation with longer lags of distance for Iflav, compared to Ichl and Iant, for the set of taxa from the alpine botanical garden (Figure S14). Local Moran’s I used to characterise local patterns in leaf traits, performed for the phylogeny of taxa from the alpine botanical garden, produced mostly local positive autocorrelations for Iflav (83.1%), Ichl (80.9%) and Iant (91.1%) (Table S6). Based on local Moran’s I, we were able to distinguish taxa which mainly had high mean leaf trait values (Iflav: Alchemilla, Penstemon and Rhaponticum; Ichl: Allium, Iris and Narcissus; Iant: Lonicera, Penstemon, Ribes and Vaccinium) and others which mainly had low mean leaf trait values (Iflav: Cerastium, Hieracium, some Sedum and many Poaceae species; Ichl: Lonicera, Ribes and Rubus; Iant: Allium and Iris), all with mostly local positive autocorrelations (Table S6). Similarly to the larger phylogeny, local Moran’s I for mean Iflav from the phylogeny excluding shaded plants gave significant positive autocorrelations for many species from Cerastium, Hieracium, Penstemon and Rhaponticum, but also distinguished some other taxa than those in the analysis made for the larger phylogeny (Table S6). The same analysis repeated separately for the mean Iflav of taxa sampled in Kumpula Botanical Garden did not distinguish the same taxa as the phylogeny used for plants growing in the alpine botanical garden, although some similarities in local autocorrelation were found for Ichl (Rubus genus, Iris species) and Iant (Iris species) (Figure S15; Table S6).
Table 1 Phylogenetic signal (Pagel’s λ) calculated for a phylogeny based on Jin and Qian (2019) mega-tree and optically measured mean leaf traits (Iflav, Ichl and Iant, all with arbitrary units).
Figure 2 Used phylogeny for the studied 622 taxa from the alpine botanical garden (Col du Lautaret, French Alps) based on previously published mega-tree (GBOTB.extended.tre) and methodology (scenario 1) from Jin and Qian (2019), is plotted with mean leaf trait values (Iflav =A & B, Ichl = C and Iant = D) as colour scale by using R package phytools (Revell, 2012 and Revell, 2013). Colour bar length is a scale for branch lengths (million years, Myr). The plotting method estimates ancestral trait values but estimate of uncertainty is not shown, and ancestral values are mainly shown for visual clarity. The (B) panel shows mean Iflav of taxa with no plants from shaded microhabitats (categorised light condition maximum of minor shade over day) with differing scale of values. Infraspecific taxa (i.e. subspecies and variety) were included in the phylogeny by combining them with their parental species. High-quality pdf -versions with tip labels may be found at the end of the Supplementary A1.
4. Discussion
4.1. General patterns in optically measured leaf traits
The majority of plants had high Iflav (Figure 1 and S5) and when data from both botanical gardens were combined, we found only three taxa in total with mean Iflav < 0.5 AU and 36 taxa with mean Iflav < 1 AU (Table S3). A reference point to interpreting these values may be taken from our earlier study of forest understoreys in Finland where seasonally lowest Iflav values were on average ≤ 0.5 AU during closed canopy phase (Hartikainen et al., 2020). Shaded plants have been shown to have constitutive phenolics present in leaf epidermis (Agati et al., 2020 and references therein). Although Dualex uses a reference beam and hence the index value is not directly comparable to absorbance, it may be roughly approximated that for instance at index value two, 99% of UV-A beam is attenuated (Aphalo, 2020). We also found a weak positive relationship between mean Iflav and UV irradiance received in plants’ local microhabitat (Supplementary A2). Comparing between the Iflav values of 27 species growing at high elevation and high latitude sites without accounting for local differences in solar radiation, eleven species showed no significant differences between the two sites, nine species had lower Iflav in Kumpula Botanical Garden and the other seven species lower Iflav in the alpine botanical garden (Figure S16). The significant but weak negative relationship between Iflav range (max-min) and mean Iflav among taxa (Figure S9), implies that certain taxa with a high Iflav may have less variation in their Iflav. In line with this, some studies have reported a less pronounced response of UV-absorbing compounds to elevated UV-B radiation among high elevation species (reviewed by Turunen and Latola, 2005). Furthermore, some native mountain species lack flexibility in epidermal UV-A transmittance along elevational gradient compared to exotic species (Barnes et al., 2017). These combined results suggest that other drivers apart from local UV irradiance, may explain some differences in Iflav among taxa. These patterns of species’ Iflav concurred with an earlier study in identifying some species whose leaf flavonoids are relatively unresponsive to changes in their environment (Nybakken et al., 2004a): for example, we found that Sanguisorba dodecandra Moretti did not show differences in mean Iflav between our two sites and had a narrow range in Iflav (Figure S16). Differences in leaf flavonoids have also been found between Vicia faba L. accessions originating from regions of high and low UV radiation, that differed in responses to solar UV and blue light in their flavonoid profiles (Yan et al., 2019). Although compound-specific differences are beyond the scope of this study, these types of qualitative differences are likely to be present among the taxa in our dataset.
Unlike the generally high Iflav in our dataset, we found high leaf Iant to be rare, and the node with relatively high Iant had the largest neighbour distance in the SOM (Figure 1). In some taxa, an association has been found between flower colours produced by anthocyanins and floral concentrations of flavones, which may stem from enzyme sharing in the flavonoid pathway (Tripp et al., 2018). However, we generally did not find that leaf Iflav and Iant were well correlated across our dataset, with the exception that among some Penstemon species (P. ellipticus Coult. & Fisher, P. fruticosus (Pursh) Greene, P. fruticosus var. scouleri (Lindl.) Cronquist and P. newberryi Gray) there was a positive local autocorrelation for both high Iflav and Iant (Table S6). The lack of correlation between Iflav and Iant may also stem from other interactions within the same shared biosynthetic pathway (discussed in Tripp et al., 2018, reviewed by Araguirang and Richter, 2022). Considering photoprotection strategy, our SOM linking chlorophyll fluorescence parameters with optically measured leaf traits, placed the taxa with highest Iant and highest mean NPQ and Y(NPQ) in the same node, which might suggest coordinated activation of multiple protection mechanisms. It should be noted that studies sometimes report lower NPQ in anthocyanin-rich leaves, for instance in basil cultivars under high light (Tattini et al., 2014).
The relationship across taxa in Iflav values recorded between the two consecutive years was consistent, but those interannual differences found in Iflav may stem from variation in the weather, particularly temperature (Bilger et al., 2007; Coffey and Jansen, 2019) which also drives spring phenology affecting the plant development at the time of measurement. A study adjacent to the alpine botanical garden comparing four species differing in their specialisation towards snowbed habitats, reported high Iflav values in the early spring (mean Iflav: 1.90-1.97 AU, Fernández-Marín et al., 2021) compared to our measurements of the same species in summer (mean Iflav: 1.36-1.75 AU). This difference suggests that some seasonal changes in leaf flavonoid content may have occurred towards lower values from spring to summer.
Although Fv/Fm was mostly high from plants in alpine botanical garden, some taxa experienced significant midday depression of Fv/Fm producing a diurnal pattern (Table S4). This diurnal pattern is often recorded from plants under unobscured solar radiation, pointing to transient photoinhibition (Long et al., 1994). Sometimes Fv/Fm depression has been recorded in mountain species (Fernández-Marín et al., 2020; Fernández-Marín et al., 2021), which could indicate a conservative strategy for light capture by avoiding potential damage during limiting conditions for carbon assimilation (Fernández-Marín et al., 2021). We found generally high NPQ, which appeared to be present particularly in those taxa with diurnally significant differences in Fv/Fm. Furthermore, SOMs distinguished some differences between nodes where groups of taxa (e.g. Iris graminea L. & I. sibirica L., Rhododendron hirsutum L.) had relatively low predawn Fv/Fm and relatively high Y(NO), but not particularly high Iflav. Flavonoids are suggested to be engaged in photoprotection following an increase from low to high solar irradiance (Talhouët et al., 2020), although chronic and acute exposure to UV-B radiation sometimes have different effects (Hideg et al., 2013). Our results suggest that the most common trait combination among plants from the 86 taxa tested, was high NPQ and high Iflav which potentially implies a strategy to avoid damage to PSII, while that group of taxa displaying relatively high Y(NO) and lowered Fv/Fm may have suffered from photodamage, but interestingly without notable accumulation of leaf flavonoids.
4.2. Do optically measured leaf traits reflect climatic conditions at the place of origin?
We did not find a relationship between Iflav and climatic conditions at the original collection sites of plants (Table S5). This is surprising in light of previous findings that reported long-lasting population origin association (local adaptation) in flavonoids of Pinus sylvestris L. (Oleszek et al., 2002), population-specific differences in flavonoid profiles (mainly myricetin concentration) of Pinus halepensis Mill. (Kaundun et al., 1998) and some indication of differences among flavonoid compounds in response to UV-B treatments according to latitude of the population origin in two Betula species (Lavola, 1998). Furthermore, an increasing number of studies report transgenerational effects in response to UV-radiation (Yan et al., 2020; Jiang et al., 2021; Zhang et al., 2021). The accession-specific transgenerational effect on foliar flavonoids is illustrated in an experiment on Vicia faba, where exposure of parental plants to ambient UV radiation < 350 nm was shown to increase the induction of quercetin in the next generation in the presence of UV-B radiation (Yan et al., 2020). Greater long-term effects in leaf phenolics might be expected in trees because of their long generation times. Considering our setup in the botanical gardens, for instance, a selection of seeds from wild populations and their subsequent cultivation for eight generations altered the trait responses and fitness of the herbaceous plant species, in comparison to the wild population (Pizza et al., 2021). This type of an effect may have compounded any effect of original climate in our data. Nevertheless, acclimation of plants to a different environment in the botanical gardens also accentuates the importance of flexibility in leaf flavonoid accumulation. For example, taxon among the five highest mean Iflav (Primula nutans subsp. finmarchica var. jokelae) originated from the most northern site (Figure S17, Figure S15), and despite this subspecies showing signs of adaptational lag, it was still performing relatively well in its current location in Helsinki, Finland (Hällfors et al., 2020). Some differences in flavonoids can be compound-specific or otherwise difficult to detect, such as contrasting patterns in concentrations of different flavonoid and phenolic compounds of vascular plants with elevation, and in comparison to phenolic compounds of lichens with elevation (Asplund et al., 2021). The relatively low resolution of the climate data for our purpose may have failed to reflect the micro-environment at the plant origin, potentially explaining why original climate did not show a relationship across our species pool. For instance, weather station data does not always represent the temperature micro-environments of small alpine plants nearby (Scherrer and Körner, 2010; Körner and Hiltbrunner, 2018). Furthermore, comparing native range of the taxa may have been interesting since previous studies on coloration of autumnal leaves in tree and woody species suggest geographic origin, and namely their differences in autumnal solar radiation and temperature, to be important for explaining differences in leaf anthocyanins (reviewed by Renner and Zohner, 2019).
Climatic patterns in Ichl were clearer than for Iflav, whereby Ichl decreased with the latitude and increased with the elevation of plants’ site of origin (Table S5). We detected a positive relationship between Ichl and dry weight of the leaf-disks obtained from a subset of taxa (Supplementary A3). The specific leaf area (SLA) is often found to decrease with elevation (Hultine and Marshall, 2000), so this relationship may partly explain the increase in Ichl with elevation.
Many of the original collections sites of plants studied here are changing from a cold or polar to a temperate climate according to the projected Köppen-Geiger classification for 2071-2100 (Beck et al., 2018) (Figures S18, S19), although there is considerable uncertainty about whether changes in climate will cause solar radiation to increase or decrease in the Alps (Gobiet et al., 2014). A recent study of alpine plant species range shifts (limits, optima and distribution) suggested that historically low-elevation species increased their abundance and range more effectively than high-elevation species, likely in response to current warming and nitrogen deposition (Rumpf et al., 2018). The increase in UV radiation over a rise of 1000 m elevation (annual altitude effect of total global radiation) in the Alps may be 11-19% (Blumthaler et al., 1992), meaning that any migration uphill driven by changes in climate could expose plants to a higher maximum UV-B radiation. Iflav varied according to micro-environmental differences in UV irradiance (Supplementary A2), suggesting that most taxa express flexibility in Iflav in response to their ambient conditions. Given these patterns of results and relationships, it is likely that biotic interactions and temperature changes will impose greater restrictions on high-elevation plant success and fitness (HilleRisLambers et al., 2013; Mondoni et al., 2015; Rumpf et al., 2018) than exposure to higher UV radiation.
4.3. Importance of the relatedness of taxa for the optically measured leaf trait distribution
In our analysis looking for general patterns in the phylogeny, both the phylogenetic signal and correlograms gave significant results, but respectively showed low λ values and weak autocorrelations, which suggests that phylogenetic relatedness alone failed to explain the observed trait values (Table 1; Figure S14). The relationship we describe in the previous section between solar irradiance at local microhabitats and mean Iflav, might be expected to reduce the phylogenetic signal. It is not unprecedented that there is no phylogenetic relationship among secondary metabolites, for instance individual pyrrolizidine alkaloids, have been found to be randomly distributed among Jacobaea species (Chen et al., 2020). Despite these findings, the significant positive autocorrelations with short lags of distance we obtained in correlograms for Iflav indicated signal between closely related species. Accordingly, we were able to distinguish a local positive autocorrelation in Iflav (local Moran’s I) among some closely related species or infraspecific taxa (e.g. Alchemilla, Penstemon, Rhaponticum, Cerastium and Hieracium) (Table S6). Although our analysis of methanol extracts of leaf phenolic compounds (Supplementary A3) did not formally identify similarities in the shape of UV absorption spectra at the genus level, in most cases these spectra bore a strong resemblance to each other among species from the same genus. Previous studies have reported detailed patterns in flavones within one genus, Ruellia, identifying a local autocorrelation associated with clades from xeric and dry environments (Tripp et al., 2018). This suggests that using a larger number of species per genus could better disentangle phylogenetic patterns in leaf flavonoids. Interestingly, we found fewer negative than positive local autocorrelations, suggesting that diverging species-specific patterns in Iflav were relatively uncommon among close relatives, perhaps pointing to the importance of the underlying evolution of the flavonoid synthetic pathway in conditioning the nature of this response. Similarities in trait values of related taxa were found even among taxa which originates from very different geographical locations: Rhaponticum heleniifolium subsp. bicknellii (Briq.) Greuter with range in Maritime Alps and Rhaponticum carthamoides (Willd.) Iljin originating from Central Asia to Siberia, both with high Iflav. The identification from our analysis of those taxa which had either mainly high or mainly low Iflav, may indicate that their leaf flavonoid accumulation was relatively inflexible. Taxa restricted to low Iflav values (e.g. some Hieracium) could face constraints against migrating to environments receiving higher UV radiation, if their other compensatory photoprotective mechanisms are not effective, whereas those genera which maintained high Iflav may better tolerate an increase in UV radiation.
The intermediate values of fitted λ (i.e. 0 < λ < 1) given by our analysis for the entire phylogeny indicate that the observed trait values of taxa were less similar than expected for this phylogeny under a Brownian motion model of trait evolution. These results were significant when testing against λ = 0, in other words a situation where relatedness explains none of the trait similarities (Revell, 2012; Swenson, 2014). Overall, this large phylogenetic analysis of plants from two botanical gardens suggests that our results were robust, although the analysis of Iflav and Iant from a smaller set of taxa growing at high latitude gave a lower fitted λ and insignificant results. This difference in outcome may relate to the finding that most methods for inferring phylogenetic signals are sensitive to the size of the phylogeny, with smaller sizes usually increasing the uncertainty (Münkemüller et al., 2012). Although many polytomies were present in our phylogeny, Pagel’s λ should be robust against potential issues stemming from the use of incompletely resolved phylogenies, and phylogenies with suboptimal branch-length information (Molina-Venegas and Rodríguez, 2017). Our results do not allow for conclusions concerning the mechanism underlying the patterns found (i.e. low λ values, but similarities in related species from some genera in the local analysis), as evolutionary processes have different relationships with the phylogenetic signal under simulations (Revell et al., 2008). For instance, stabilizing selection towards a single optimum may lead to low phylogenetic species’ covariance (Hansen and Martins, 1996; Revell et al., 2008). Overall, these results suggest that among some specific taxa, relatedness, for instance among those genera we identified with mainly high Iflav, may explain some similarities in optically measured leaf traits, while in other taxa we failed to detect such a relationship, suggesting that other drivers were probably more important in determining these trait values.
5. Conclusions
We used optical measurements to survey the leaf traits of a set of over 600 taxa, mostly growing in high-elevation environments, to better understand potential constraints set by their relatedness, and climate of origin, particularly considering the influence of UV radiation in these contexts. Large surveys covering many taxa enhance trait databases, in this case for optically measured leaf traits, and will help to improve our knowledge of plant responses to climate change and received UV radiation. It was not possible to give a definitive hierarchy of drivers of Iflav among taxa, as the patterns we found were complex, and likely involved multiple drivers of flavonoid synthesis and accumulation. We conclude that these leaf traits showed flexibility in most taxa we examined, and in most plants responded to the exposure to sunlight in their immediate micro-environment. We did not identify potential for constraints in leaf flavonoid accumulation set by plants’ climate of origin. Within some species from the same genus, Iflav had relatively similar values, suggesting some constraints associated with phylogenetic relatedness on the extent of their induction could be responsible for the lack of variation. These taxa merit further study, when considering whether an increase in exposure to UV radiation, through migration or a change in climate in situ, could reduce their fitness.
Data availability statement
Dataset containing records of the optically measured mean leaf traits from all plant taxa may be found from https://doi.org/10.5281/zenodo.7398305.
Author contributions
SH and TR conceived the ideas; SH designed the field methodology; SH collected and analysed all data, except the spectroradiometer data collected by TR; SH wrote the manuscript and TR supervised all stages. Both authors gave editorial input and final approval for publication.
Funding
A grant from eLTER-Europe Transnational Access partially funded this research at the Station Alpine Joseph Fourier, Lautaret Garden-UMS 3370 (Univ. Grenoble Alpes, CNRS, SAJF, 38000 Grenoble, France); a member of AnaEE-France. SH was partially supported through Academy of Finland decisions 266523, 304519 and 324555 granted to TR. Open access publication was funded by Helsinki University Library.
Acknowledgments
We are grateful for the logistical and practical support at the Station Alpine Joseph Fourier of Serge Aubert, Franck Delbart and Rolland Douzet. We thank the Kumpula Botanical Garden and Finnish Museum of Natural History (LUOMUS) for help and providing data, and Emilie Lefrere & Pasi Pouta for help with the measurements. We thank Jonna Kulmuni, Marta Benito Garzón, Beatriz Fernández-Marín, Line Nybakken and Aleksia Vaattovaara for giving us useful comments on manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.1058162/full#supplementary-material
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Keywords: botanical gardens, flavonoids, leaf traits, mountain species, photoprotection, UV radiation
Citation: Hartikainen SM and Robson TM (2022) The roles of species’ relatedness and climate of origin in determining optical leaf traits over a large set of taxa growing at high elevation and high latitude. Front. Plant Sci. 13:1058162. doi: 10.3389/fpls.2022.1058162
Received: 30 September 2022; Accepted: 30 November 2022;
Published: 16 December 2022.
Edited by:
Stef Bokhorst, VU Amsterdam, NetherlandsReviewed by:
Cecilia Brunetti, National Research Council (CNR), ItalyShenghao Liu, Ministry of Natural Resources, China
Copyright © 2022 Hartikainen and Robson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Saara M. Hartikainen, c2FhcmEuaGFydGlrYWluZW5AYWx1bW5pLmhlbHNpbmtpLmZp; T. Matthew Robson, bWF0dGhldy5yb2Jzb25AaGVsc2lua2kuZmk=
†ORCID: Saara M. Hartikainen, orcid.org/0000-0002-8430-6861
T. Matthew Robson, orcid.org/0000-0002-8631-796X