About this Journal Submit a Manuscript Table of Contents
Advances in Botany

Volume 2014 (2014), Article ID 208747, 17 pages

http://dx.doi.org/10.1155/2014/208747
Review Article

Plant Phenotypic Plasticity in Response to Environmental Factors

Department of Environmental Biology, Sapienza University of Rome, P.le A. Moro 5 00185, Rome, Italy

Received 8 December 2013; Revised 21 February 2014; Accepted 24 March 2014; Published 22 April 2014

Academic Editor: Shoji Mano

Copyright © 2014 Loretta Gratani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Plants are exposed to heterogeneity in the environment where new stress factors (i.e., climate change, land use change, and invasiveness) are introduced, and where inter- and intraspecies differences may reflect resource limitation and/or environmental stress factors. Phenotypic plasticity is considered one of the major means by which plants can cope with environmental factor variability. Nevertheless, the extent to which phenotypic plasticity may facilitate survival under environmental condition changes still remains largely unknown because results are sometimes controversial. Thus, it is important to identify plant functional traits in which plasticity may play a determinant role in plant response to global change as well as on the ecological consequences at an ecosystem level for the competition between wild and invasive species, considering that species with a greater adaptive plasticity may be more likely to survive in novel environmental conditions. In the near future, it will be important to increase long-term studies on natural populations in order to understand plant response to environmental factor fluctuations including climate change. There is the necessity to analyze variations at phenotypic and genetic levels for the same species and, in particular, for endemic and rare species because these could have drastic effects at an ecosystem level.

1. Introduction

Literature on phenotypic plasticity has increased expanding from the initial focus on abiotic factors to that of biotic ones [13] and, in recent years, taking into consideration plant response to global climate change, land use change and plant invasiveness [4, 5] (Table 1). Thus, fundamental questions for evolutionary ecologists in a global change context are how plant species will respond to these new scenarios and what mechanisms will be involved in the process [6, 7]. The understanding of phenotypic plasticity will be crucial for predicting changes in species distribution, community composition, and crop productivity under global change conditions [8, 9]. Nevertheless, the theme of phenotypic plasticity is complex and researchers do not always arrive at the same conclusions and results are sometimes controversial.

tab1
Table 1: List of the mentioned species and corresponding references.

Phenotypic plasticity has been defined as a change in the phenotype expressed by a single genotype in different environments. Bradshaw [10] recognized that phenotypic plasticity could itself be under genetic control and therefore subjected to selective pressure. Scheiner and Goodnight [11] show that there is no reason to believe that the selection of plastic and genetic variations need necessarily be coupled. Nevertheless, a population could respond to an extremely variable environment by becoming both more plastic and more genetically variable. Literature suggests that phenotypic plasticity can evolve when there is a sufficient genetic variation [12, 13] due to genetic correlations with other traits that are under selection or to genetic drift [14]. Since phenotypic plasticity influences environmental tolerance, different plastic responses may contribute to differences in the range of environments that species inhabit [15]. In particular, the environment can induce changes in the individual’s behavior at a morphological and/or physiological level [16] and such changes may be crucial to survival in heterogeneous and variable conditions [1720]. For certain morphological traits, phenotypic plasticity has been shown to reflect genetic correlations relatively well, and traits belonging to the same suite of characters are more highly genetically and phenotypically correlated than traits from different suites [21]. The selection for photosynthetic traits may often operate indirectly via correlation with other traits, emphasizing the importance of viewing the phenotype as an integrated function of growth, morphology, life history, and physiology [22]. The timing of plant development can itself be plastic [23] and many phenotypic responses to environmental stress factors may be the consequence of growth reduction due to resource limitations [24, 25]. Differences among species and populations may reflect different selective pressures on plasticity, different limitations acting upon the maximization of plasticity, or a combination of both [26]. The potential plastic response of a given trait may be large but the observed plasticity may be lowered by resource limitations or environmental stress factors [14].

The particular way by which a genotype varies in its expression across a range of environments can be described by a reaction norm which is genetically determined [69]. The reaction norm for any specific trait of a genotype can be visualized as a line or a curve on a two-dimensional plot of the environmental value versus the phenotypic value (Figure 1). Phenotypic plasticity can be visualized as a change in the slope of the reaction norm between ancestral and derived populations or species [70, 71]. Such change has been shown to occur in nature between species subjected to different selection pressures [7274]. Plasticity is what makes the appearance of an environmentally induced novel phenotype possible, and a process of selection on the expression of such phenotype in a new environment may end up “fixing” (genetically assimilating) it by altering the shape of the reaction norm [75]. Thus, plasticity could facilitate the expression of relatively well-adapted phenotypes under novel conditions (e.g., after migration to new geographical areas) improving the performance of the population and resulting in the genetic assimilation of the trait in the new environment. This has the potential to explain a variety of evolutionary ecological processes [14, 75].

208747.fig.001
Figure 1: The reaction norm for any specific traits of a genotype can be visualized as a line on a plot of the environmental value versus the phenotypic value. In this example, the response of four evergreen species (Quercus ilex, Phillyrea angustifolia, Pistacia lentiscus, and Smilax aspera) in three different sites inside the Castelporziano Estate (Latium coast near Rome, Italy) to a gradient of air temperature (T1 = 16.5°C, T2 = 17.2°C, and T3 = 21.9°C) is shown [55]. Lines represent the species and slope the phenotypic response. Among the cooccurring species, S. aspera, growing in the understory of the forest, has a larger morphological than a physiological plasticity. Q. ilex is the species with the largest morphological and physiological plasticity. Leaf area (LA), leaf mass area (LMA), and chlorophyll a to b ratio (Chl a/b) are shown.

Indexes can facilitate comparison of different studies [76, 77], set of species or populations within a given species by considering experimental data in research on plasticity [19, 56, 57]. However, at least 17 different indexes have been employed as a measure of the phenotypic plasticity but can be flawed and applied in different ways. Most of them cannot be standardized across traits or compared among different species [78] complicating comparison among studies [3, 79]. Moreover, measures of phenotypic plasticity are strongly related to the context and may not be comparable across different studies where different gradients and/or species have been used [77]. Since information about plasticity is structured in a way that makes it difficult for quantitative and comparative analysis, Poorter et al. [79] proposed a method to fill this gap by building a large database which currently contains data on 1000 experiments and 800 species. This approach could serve as a benchmark for future phenotyping efforts as well as for modelling global change effects on both wild species and crops [79].

2. Physiological, Anatomical, and Morphological Plasticity

Physiological, morphological, and anatomical plasticity may have a different role in plant adaption to environmental changes. In particular, plasticity for physiological and life-history traits may allow plants to grow and reproduce in spatially or temporally variable environments [46, 80]. Physiological plasticity is more linked to an enhanced capacity to colonize gaps and open areas [81, 82] because it ensures adjustments of gas exchange in response to environmental factor changes in a short term. This aspect evidences the importance of physiological plasticity in plant acclimatization to adverse environments where morphological and anatomical plasticity play a secondary role [83]. In fact, plants growing in stress conditions tend to have a conservative leaf morphological pattern to avoid the production of structures too expensive to be sustained [84, 85]. Moreover, morphological plasticity is more linked to an enhanced plant capacity to grow in forest understories [37, 82] by having an important role in resource acquisition [64, 86].

3. Plant Response to Light

The heterogeneous light environment within a plant canopy brings about different stress factors for leaves in different canopy positions. One of the expressions of plant phenotypic plasticity is the modification of leaf traits to the light gradient [87] and the reduced red/far red ratio [2] from the top to the bottom of the tree canopy, mainly during leaf formation [69]. One of the main morphological traits which changes in response to light variations is the specific leaf area (SLA, ratio between leaf area and leaf dry mass). The plasticity of SLA implies the morphogenetic control of leaves which tends to increase leaf area in the shade in order to intercept more light while on the contrary there is a genetic or physiological limitation to the total leaf volume as well as a resource limitation [88]. SLA reflects leaf thickness [89] and the relative proportion of assimilatory, conductive, and mechanical tissues [90]. In particular, the increased total lamina thickness in sun leaves compared to shade leaves is mainly due to the greater palisade parenchyma, spongy parenchyma, and epidermal tissue thickness, suggesting that leaf internal structure may play an important role in light capture [91]. In a research on leaf morphology of woody angiosperms, Wylie [92] shows that, as a result of shading, leaf thickness decreased, on an average, by 54%, the volume of the palisade parenchyma by 60%, and the epidermal thickness by 17%. McClendon [93] and Gratani et al. [46] showed a strong correlation between leaf thickness and the light-saturated rate of photosynthesis per unit of leaf area.

Sun leaves with respect to shade leaves, on an average, have a higher photosynthetic rate on a leaf area basis which is associated to a higher chlorophyll (Chl) a/b ratio, a significantly lower light-harvesting Chl a/b protein (LHCII), a lower stacking degree of thylakoids [94, 95], and a higher nitrogen (N) content per unit of leaf area [46, 96, 97] since approximately half of N is invested in the photosynthetic proteins [96]. Hirose and Werger [98] suggest that N varies with light availability in plant canopies in such a way as to optimize the daily canopy photosynthesis. Thus, the N investment is related to light in that more N is allocated to carboxylation in sun leaves and to light harvesting in shade leaves with variations in the photosynthetic capacity [99] (Figure 2). The photosynthetic capacity and N content are generally both higher in leaves under high light conditions [96, 98, 100]. The higher photosynthetic rates of sun leaves are supported by higher stomatal conductance and stomatal density to maximize CO2 absorption [101]. On the contrary, leaf trait adjustments to low light increase the capacity of light absorption at the expense of the photosynthetic capacity minimizing carbon loss through respiration [96].

208747.fig.002
Figure 2: Leaf trait variations in response to the light gradient from the top to the bottom of the canopy of three evergreen shrubs (Pistacia lentiscus, Phillyrea latifolia, and Quercus ilex) cooccurring in the Mediterranean maquis [46]. All the considered species have significantly thicker sun leaves compared to shade leaves (on an average 0.45 times) due to the palisade parenchyma (61%, mean value), spongy parenchyma (38%, mean value), and the adaxial cuticle (36%, mean value) thickness. The higher leaf consistency (i.e., higher leaf mass area, LMA) of sun leaves can be used as a measure of investment per unit of leaf area in conditions of full sun. Moreover, shade leaves have a lower chlorophyll a to b ratio (Chl a/b) (13%, mean of the considered species) due to the higher chlorophyll b content (89%, mean of the considered species) since it is usually the main component of the LHCP (light-harvesting protein), which is higher in the shade conditions. Sun leaves allocate, on an average, 16% higher nitrogen (N) content than shade leaves reflecting an increase in carboxylating enzymes (RUBISCO) and proteins, responsible for the photosynthetic electron transport in full sun. The phenotypic plasticity of the considered species is higher for leaf physiological traits (0.86), and among them, net photosynthesis ( ) and the photosynthetic nitrogen use efficiency (PNUE) have a larger plasticity (0.96 and 0.93, resp.). The largest phenotypic plasticity of Q. ilex (0.41) among the cooccurring species (0.36, mean value) reflects its wider ecological distribution area. Leaf dry mass (DM), leaf area (LA), specific leaf area (SLA), total chlorophyll a + b content (Chl a +b), chlorophyll to carotenoid ratio (Chl/Car), chlorophyll to nitrogen ratio (Chl/N), net photosynthesis ( ), stomatal conductance ( ), water use efficiency (WUE), and leaf water potential at midday ( ) are shown.

Changes in the efficiency of light interception and in the costs for light harvesting along the light gradient from the top to the bottom of the plant canopy are the major means by which an efficient light harvesting is achieved. In particular, at shoot scale, foliage inclination angle and foliage spatial aggregation are the major determinants of light harvesting while, at the canopy scale branching frequency, foliage distribution and biomass allocation to leaves modify light harvesting significantly [102]. Intracanopy plasticity has important impacts on many aspects of tree biology, potentially contributing to the whole-canopy performance via effects of light penetration through the canopy and on the energy, carbon, and water balance of the individual leaves [97, 103, 104]. Plasticity within the same plant, in a temporary heterogeneous environment, may play an adaptive role in strong seasonal climates such as the Mediterranean climate [20].

Moreover, leaf trait variations in response to the light gradient within the canopy change in different species and forest types [105108]. In forests with dense foliage, the upper layers absorb the majority of the incoming radiation. In broadleaf and conifer forests of the temperate zone, on an average, 3–10% of the incident photon flux density (PFD) penetrates the tree canopy [69]. Gratani and Foti [109] show that SLA increases, on an average, by 21% from the dominant tree layer of a mixed deciduous broadleaf forest to the dominated layer in response to a decrease in the light level. The same trend is measured from the dominant tree layer of a Mediterranean evergreen forest to the dominated layer by the 54% SLA increase, associated with a 9.5% lower chlorophyll a/b ratio and 86% lower photosynthetic rate [110]. Mendes et al. [45] analyzed the large morphological and anatomical leaf trait variations to different light conditions for Myrtus communis, an evergreen sclerophyllous species which grows in Mediterranean areas from open clearings to understories, with a 26% increase of the SLA from sun to shade conditions. Nevertheless, taxonomically different species cooccurring in the same habitat often share common morphological and physiological traits, reflecting a convergent evolution in response to environmental factors [111]. The large plasticity in the structure of the mesophyll in concert with other traits seems to enable these species to cope with different environmental regimes (i.e., Mediterranean type climate), attaining a wider habitats range [111].

4. Shade Tolerance

Shade tolerance is one of the most important ecological factors with respect to interspecific competition among forest trees of the temperate climate zone. The shade tolerance of a given plant is defined as the minimum light under which a plant can survive; however, only a fraction of plants can reproduce under these conditions. Thus, a biological definition of shade tolerance must consider the whole life cycle of the plant from early survival and growth to reproduction [112]. In general, sun and shade leaves are thinner in tolerant species than in intolerant species [113]. The overall trend in literature suggests that early successional and light demanding species are more plastic than late-successional and shade-tolerant species [114116]. Nevertheless, there is increasing evidence that indicates that adjustments are not necessarily related to the successional status of the species [117, 118] (Table 2).

tab2
Table 2: Phenotypic plasticity of morphological and physiological leaf traits for the mentioned shade-tolerant, shade-intolerant, and intermediate species and corresponding references.

Numerous studies focus on acclimation of the photosynthetic properties of plant species to different light conditions; nevertheless, results sometime disagree. For example, Coffea arabica is an evergreen perennial tree from the African forest understory which is considered an obligatory shade species. Matos et al. [30] show that plasticity of physiological and biochemical traits in C. arabica is more important for acclimation to intracanopy light variations than morphological and anatomical trait plasticity. Nevertheless, Araujo et al. [31] show that the apparent inability of C. arabica shade leaves to optimize carbon gain under low light and the successful ability of sun leaves to prevent photoinhibition of photosynthesis under high light conditions are consistent with the findings that it performs well at full sun exposure. Niinemets et al. [32] showed that in temperate deciduous forests species differ in their shade tolerance with Corylus avellana having the largest tolerance, followed by Tilia cordata, Fraxinus excelsior, and Populus tremula [33, 34]. Wyka et al. [27] by comparing seedlings of two conifers (the shade-tolerant Abies alba and the moderately shade-tolerant Picea abies) and two deciduous angiosperms (the highly shade-tolerant Fagus sylvatica and the moderately shade-tolerant Acer pseudoplatanus) in two-year studies, tested the hypothesis that light-induced plasticity of physiological and anatomical traits was lower in highly shade-tolerant species than in moderate shade-tolerant ones. The authors concluded that shade tolerance was not a consistent predictor of anatomical plasticity and that, for many traits, differences between the light treatments were magnified in the second year, showing that anatomical and physiological adjustment to shade is a long-term process. Valladares et al. [37] investigated phenotypic plasticity of two species differing in their shade tolerance (the most shade-tolerant Fagus sylvatica and the more light-demanding Quercus robur) hypothizing a lower plasticity in the species of deep shade than in the more light-demanding species, according to comparative studies of others woody plants [56, 85, 105]. Moreover, the authors suggested that an alternative hypothesis was also feasible (i.e., that shade tolerance can be achieved by enhanced plasticity) as argued previously for the same two species [121]. The results showed a mean phenotypic plasticity similar to the two species (Q. robur and F. sylvatica) due to the fact that while Q. robur has a higher physiological plasticity, F. sylvatica has a higher morphological plasticity, with one group of traits counteracting the effect of the other group on the mean plasticity index [37].

Differences in forest structure determine changes in the light gradient and, consequently, in the presence of shade-tolerant and intolerant species. In particular, the deciduous forests may consist of an upper layer with shade-intolerant tree species and a lower layer with shade-tolerant tree species [32], while in mixed forests, deciduous and evergreen species with contrasting ecological potentials can occupy different layers [122]. Poorter et al. [48] analyzed shade tolerance in tree species growing in some forests of Continental Spain showing that the wider canopy, lower height, and flat leaves of the Fagaceae (Quercus faginea, Quercus ilex, Quercus petraea, Quercus pyrenaica, Quercus robur, and Quercus suber) enhanced their shade tolerance compared to Pinaceae (Pinus halepensis, Pinus nigra, Pinus pinaster, Pinus pinea, Pinus sylvestris, and Pinus uncinata). On the contrary, resistance to fire [123], drought tolerance [124], and allometric plasticity of the shade-intolerant pines increased their rapid occupation of open spaces [125] and could be relevant to explain species ecological dominance. The shade-intolerant Populus tremuloides and Betula papyrifera, common species of the broad ecotone between the boreal and cold-temperate forests of central and eastern North America, possess traits that maximize whole plant carbon dioxide (CO2) exchange leading to long-term growth and survival disadvantages in very low light, while the shade-tolerant Acer saccharum and Ostrya virginiana minimize CO2 losses in low light at the expense of maximizing CO2 gains in high light [28]. The same authors conclude that the shade-intolerant species have a larger plasticity than the shade-tolerant species. Ke and Werger [36] showed that the deciduous Quercus aliena var. acutiserrata is a gap-dependent species having advantage over the evergreen Cyclobalanopsis multinervis in forest gaps and clearings by the greater morphological and physiological plasticity of seedlings. The ability to acclimate to contrasting light environments is particularly important for tropical woody species because tree seedlings grown in the forest understory are prone to experience photoinhibition under an increased light level through formation of a gap [126]. High irradiance in tropical latitudes can cause chronic photoinhibition through impairment of photosystem II (PSII) reaction centres in the leaves of plants that have experienced gap openings [127, 128]. Nevertheless, species vary in their shade tolerance to the increased light after a gap creation. For example, in deciduous broadleaf forests of northern Japan, Quercus mongolica var. crispula is a gap-dependent species because its seedlings could survive at most a dozen years under a closed canopy even though they can germinate in low light environments [62, 63]. Koike et al. [129] in a research on early successional species, gap phase species, mid-successional species, and late successional species showed that acclimation potential of the species was expressed by their plasticity which was closely linked to the photosynthetic capability [130].

Despite the assumption that shade leaves develop in response to reduced light, other factors may also be involved, such as temperature and water stress [113]. It has been hypothesized that plants cannot tolerate combined shade and drought, as a result of a morphological trade-off [49, 131]. Nevertheless, Sack et al. [41] investigated six species (Phillyrea latifolia, Viburnum tinus, Rubia peregrina, Ruscus aculeatus, Hedera helix, and Smilax aspera) that cope with strong summer drought in the understory of mixed Quercus forests in southern Spain. All the species persisted in the shade (ca 3% daylight) and converged in features that conferred tolerance to shade plus drought by reducing the demand for resources. In particular, demand for water was reduced through a moderate-to-high below-ground mass fraction and low-to-moderate SLA, while demand for both low irradiance and water was reduced through a low-to-moderate leaf N content and leaves with a long life span. On an average, SLA is the trait most strongly correlated to shade tolerance [132].

Generalist species that grow in a range of moisture and light conditions within a forest, on an average, have a larger morphological plasticity than specialist species [66]. In particular, the more generalist Shorea disticha occurring on most sites within the evergreen forests and extending over most areas of the South and Southeast Asia has a greater plasticity than Shorea trapezifolia, which is restricted to the lower slopes of the valley within the forest, and Shorea worthingtonii which is restricted to the ridge-tops.

5. Ecotypes

Long-term selection can lead to the development of morphological and physiological adaptations to the local environment generating ecotypic differentiation in functional traits [133, 134]. Genotypes adapted to local environmental conditions are referred to as ecotypes [135]. When environments within the distribution area of a species differ, it is unlikely that any single phenotype confers high fitness in all situations. The distinction between phenotypic plasticity and local adaptation of an ecotype is based primarily upon genetic analysis and transplantation experiments [52]. In particular, spatial genetic differentiation along climatic gradients has been documented for many species [136138] as well as for ecotype formations [52, 136, 138]. For example, ecotypes of Pinus taeda [139], Picea abies [47], Pinus sylvestris [51], Fagus sylvatica [38, 39], and Quercus coccifera [50] have adaptive features which are probably driven by the climate of the locality from which they originate. Moreover, species with extensive geographical ranges have the potential to exhibit a larger intraspecific variation in physiology, morphology, phenology, and growth rate [140]. Gratani et al. [19], Bonito et al. [57], and Pesoli et al. [58] compared plant and leaf trait plasticity in Quercus ilex seedlings from different provenances in Italy and grown in a common garden (Figure 3). Quercus ilex is a deep-rooted evergreen species widely distributed in the Mediterranean Basin [59] extending 6,000 km longitudinally from Morocco to France. This species seems to be limited to the southern range due to increased summer drought, and in altitude (it is distributed from the sea level to 1,100 m a.s.l.) by factors associated with low temperature [60]. The results show that seedlings from the more xeric provenance have a higher tolerance to drought stress by a higher leaf mass area (LMA) limiting transpiration and a higher stomata sensitivity to changes in water potential allowing a higher relative leaf water content (RWC). On the contrary, the reduced leaf area appears to be the best adaptive trait in response to winter cold stress at the northern limit of the distribution area, while the largest shoot production reflects the more favorable climatic conditions at the centre of the distribution area. Thus, while the favorable environmental conditions increase the phenotypic plasticity of Q. ilex morphological and physiological traits, the less favorable conditions (i.e., cold and drought stress) allow specialization. Michaud et al. [61] observed a homogeneous genetic structure of Q. ilex in the Mediterranean region with only slight geographic variations due to isolation (i.e., North Africa and Sicily) which supports the hypothesis that Q. ilex corresponds to a single genetic entity. According to these hypotheses, Balaguer et al. [56] show that phenotypic plasticity varies across the geographical range of Quercus coccifera, and among populations, suggesting that Q. coccifera ecotypic differentiation accounts for its occurrence in contrasting habitats. Wen et al. [40] studied the origin and evolution of cultivated soybean. They investigated genetic diversity, geographic differentiation, and genetic relationship among geographic ecotypes of cultivated (Glycine max) and wild (G. soja) soybeans growing in South-Central China, South-West China, and South China. The results showed that the wild accessions had relatively small genetic distances with all cultivated accessions and the Middle and Lower Changjiang valleys wild ecotypes were smaller compared to other wild ones, including their local wild counterparts. Therefore, it is inferred that the wild ancestors in southern China, especially those from Middle and Lower Changjiang valleys, might be the common ancestors of all cultivated soybeans. Nevertheless, exploitation of new habitats may be associated with the loss of plasticity and evolution of specialization [16]. Adaptation of species to geographic environmental variations often depends on genetic variations among seed sources [19, 141]. Nahum et al. [52] showed that Pistacia lentiscus ecotypes growing in diverse habitats along a climatic gradient in Israel do not have any pattern of ecologically related genetic differentiation, and morphological and physiological differences are probably due to phenotypic plasticity. Thus, adaptive plasticity can expand environmental tolerance contributing to a wide distribution [53] of P. lentiscus around the Mediterranean region [52, 54]. Emery et al. [67] show that ecotypes of Stellaria longipes, an herbaceous perennial species growing along an altitudinal gradient on Plateau Mountain (Alberta) from the alpine tundra (i.e., higher altitude), has a lower plasticity than the ecotype from the prairie (i.e., lower altitude).

208747.fig.003
Figure 3: Physiological, morphological, and anatomical leaf trait variations of Quercus ilex ecotypes from different provenances in Italy, grown from seeds collected in the native environments. Seedlings from the more xeric provenance (Frassanito, 40°13′N, 18°26′E, at sea level, site C) have a larger tolerance to drought by a larger leaf mass area (LMA) and leaf tissue density (LTD) and a higher stomatal sensitivity to changes in leaf water potential at predawn ( ) contributing to a better water use efficiency (WUE) than the other seedlings [58]. In particular, the reduced leaf area (LA) appears to be the best adaptive trait in response to the winter stress at the northern distribution limit (Nago, 45°55′N, 10°53′E, 260 m a.s.l., site A) while the larger shoot and leaves production of Castelporziano seedlings reflects the favorable climatic condition of this locality (41°45′N, 12°26′E, at sea level, site B). The favorable environmental conditions at Castelporziano are expressed throughout a larger phenotypic plasticity while the cold stress at Nago and the drought stress at Frassanito allow specialization. Moreover, Q. ilex phenotypic plasticity is larger for physiological than for morphological and anatomical traits due to the capability of this species to grow in full sun as well as in shade conditions and colonize successfully new areas after fire by vegetative regeneration [142]. Frassanito shrubs by their larger tolerance to high temperature and limited water availability might have an advantage in response to the forecasted increase of air temperature and drought in the Mediterranean Basin. Net photosynthesis ( ), stomatal conductance ( ), leaf transpiration (E), and specific leaf area (SLA) are shown.

To accurately determine patterns of plasticity and investigate the ecological and evolutionary implications, it is important to better understand the environmental context in which phenotypes are expressed [2].

6. High Altitude Mountain Plants

The impact of global warming on terrestrial ecosystems has been shown to be greater in arctic tundra and high mountain regions than in low latitude areas [143]. In particular, the projected rate of global warming in mountain ecosystems is expected to be up to three times higher than the global average rate of warming recorded during the 20th century [144]. The biodiversity scenarios for the 21st century forecasts the reduction of alpine habitat and loss of many European high-mountain plants [145, 146]. Dirnböck et al. [147] hypothesize a rapid increase in plant species extinction risk. Moreover, species-specific reduction in fitness and diversity could change community dynamics by altering species competitive abilities. Recent studies [35] indicate substantial adaptive potential as reflected by high heritability estimates for traits likely to be selected [148]. Nevertheless, there is little information on the adaptive potential in environments that are particularly threatened by climate change such as high altitude mountain areas. One of the predicted consequences of global climate change is the movement of plant species to higher elevations and latitudes as the climate to which they are adapted is displaced [149]. A drastic decrease of the distribution area or even extinction of plant species can be the consequence of migration processes towards higher altitudes. Rates and patterns of these dynamics will be highly dependent on the habitat preference of a particular species and on its functional traits [150]. Steep environmental gradients and patchy distribution of habitats lead to small size and spatial isolation of populations and restrict gene flow [29]. It has been hypothesized that plant species populations may persist in their current areas and withstand environmental changes if they have a large adaptive capacity [151]. Gratani et al. [35], in a comparative study on two populations of Crepis pygmaea subsp. pygmaea and Isatis apennina growing at different altitudes on the Gran Sasso massif (Italy), addressed the question whether plasticity of morphological and physiological traits could be indicative of their future adaptive potential to survive global warming. The results underline that C. pygmaea has a significantly higher plasticity of both physiological and morphological traits than I. apennina. Thus, the hypothesized air temperature increase could drive C. pygmaea and I. apennina to higher altitudes in the Gran Sasso massif with C. pygmaea being favored by the highest plasticity. Studies on Sesleria nitida, a perennial herbaceous species growing at different altitudes along a narrow altitudinal gradient in the Central Apennines (Monte Terminillo, Italy), show that the lower photosynthetic rates at the higher elevation are justified by the stronger wind action and the lower soil water content of this site, while the lower SLA (i.e., the highest leaf mass area, LMA) contributes to limit leaf transpiration [65]. The extent to which SLA is phenotypically plastic or genetically fixed has important implications for the survival of populations under environmental condition changes [152]. Moreover, the results show a larger plasticity for physiological than for morphological and anatomical leaf traits of S. nitida the first being more useful under strong stress conditions which change in a short-term (Table 3). The relatively large phenotypic plasticity of S. nitida reflects its capability to maintain function under different environmental stress conditions and sustain the air temperature increase through a potential shift toward higher elevations. Stöcklin et al. [29] studied the consequences for the alpine landscape due to the evolutionary processes in four typical alpine plant species (Epilobium fleischeri, Geum reptans, Campanula thyrsoides, and Poa alpina). The within-population genetic diversity of the four species is large and mostly not related to altitude and population size. Nevertheless, genetic differentiation among populations is strongly increased with distance, thus suggesting considerable genetic drift among populations of alpine plants. Phenotypic variability is shaped by adaptive as well as by random evolutionary processes, and plastic responses to growth conditions seem to be crucial for survival of plants in the alpine landscape.

tab3
Table 3: Plasticity index (PI) of morphological and physiological leaf traits for Crepis pygmaea subsp. pygmaea, Isatis apennina [35], and Sesleria nitida [65].

7. Competition between Invasive and Native Species

The increase of air temperature and carbon dioxide (CO2) concentration over recent decades has determined novel environmental conditions [153] which might act as a potent agent of natural selection among species favoring more phenotypically plastic species [154] and resulting in a competition between invasive over cooccurring native species [153, 155]. The phenotypic plasticity of cooccurring native and invasive species in the broadleaf forest developing in the Natural Reserve Siro Negri (45°12′39′′ N, 9°3′26′′ E, Italy) attests to the considered species responsiveness to light variations. Q. robur (a native species) and R. pseudoacacia (an invasive species) have a similar physiological plasticity. Nevertheless, the significantly higher morphological and anatomical plasticity of R. pseudoacacia than Q. robur confirms its past capability of colonizing the forest and then growing successfully into both the dominant and dominated layers (data Catoni et al. not published).

Introduced species frequently exhibit little genetic variations in the new environment due to the genetic bottleneck and drift experienced by the small founding populations [156]. Even with genetic variations, local adaptation may not arise if selection is weak or unpredictable, or if considerable gene flow occurs among populations [157]. Despite these limitations, local adaptation often contributes to the success of plants introduced in the new environments [158162]. In agreement with this hypothesis, Niinemets et al. [42] show higher plasticity of the invasive Rhododendron ponticum in respect to the native Ilex aquifolium in high light environments by its higher N investment in light harvesting and in photosynthetic machinery allowing the production of more leaf area with equal photosynthetic and light-harvesting characteristics. The high phenotypic plasticity in photoprotective strategies and performance of the invasive Taraxacum officinale enhances its competitive ability in alpine environments [68] considering that light intensity is one of the most changing conditions along altitudinal gradients. The T. officinale plants from higher altitudes, where light conditions are more variable, possess greater plasticity than plants from lower altitudes, suggesting that plasticity in ecophysiological traits will be one of the main strategies to colonize environments with variable light conditions. High adaptability can be due either to the adaptive strategy to cope with resource fluctuations in the native region [163, 164] or to a rapid evolution in novel environments after colonization [165]. Davidson et al. [153] show that invasive species are more plastic in their response to greater resource availability than noninvasives, but this plasticity is only sometimes associated with a fitness benefit, and noninvasive species maintain greater fitness homoeostasis when comparing growth between low and average resource availabilities. Funk [166] investigated the plastic responses of five invasive-native pairs in low resource environments of the Hawaiian Islands and found that the maximum photosynthetic rate and the organic leaf N concentration were positively related to the invasive species fitness in response to N availability. Since adaptive plasticity may allow certain species to colonize environmentally diverse areas without the lag time required for local adaptation, it may enhance their invasiveness and rapid geographic spread contributing to the displacement of native species [4].

Nevertheless, despite the effort over the last decades, the evolutionary mechanisms leading to invasiveness remain unclear [167]. Molina-Montenegro et al. [68] show that invasive species have significantly greater plasticity than native species. On the contrary, Drenovsky et al. [168] suggest that native and invasive species may converge on functionally similar traits demonstrating comparable ability to respond to change in resource availability. In addition, Godoy et al. [169] show that despite reasonable arguments in favour of linking phenotypic plasticity to plant invasion, no general pattern between phenotypic plasticity and invasiveness emerged. DeWalt et al. [170] tested the hypothesis that the tropical shrub Clidemia hirta is more abundant in the introduced (Hawaiian Islands) than in the native range (Costa Rica) because of genetic differences in resource acquisition, allocation, and phenotypic plasticity between native and introduced genotypes. Nevertheless, the results underline the fact that genetic shifts in resource use, resource allocation, or plasticity do not contribute to differences in habitat distribution and abundance. An increased plasticity may not increase fitness (nonadaptive plasticity) or may even decrease it, and the correlation among different plant traits may confers invasiveness by reducing the cost of maladaptive and/or nonadaptive plastic traits [14, 171]. Bastlová and Květ [43] evidenced the phenotypic variability in native populations of Lythrum salicaria, a Eurasian species which successfully invaded north American wetlands competing with native plant species [44]. The authors showed that plants originating from more southern Eurasian localities were more similar to the invasive plants in North America than to plants from northern Eurasian localities. Variability in growth characteristics across the north-south gradient within the native range could result from long-term adaptation to prevailing environmental conditions, particularly day-length. Moreover, variability for some growth characteristics (i.e., dry weight and number of lateral branches, root dry weight), both between and within Eurasian populations, indicates a plastic growth response to the local environmental conditions.

8. Conclusions

Overall, climate change has been shown to affect abundance and distribution of plant species, as well as plant community composition [172, 173]. Recent studies indicate that under rapid climate change phenotypic plasticity rather than genetic diversity is likely to play a crucial role in allowing plants to persist in their environments [174]. Different responses to climate occur not only between populations throughout a species range but also between cooccurring individuals within a population [149]. Nevertheless, studies of genetic structure based on enzyme polymorphism in populations of forest trees have shown significant levels of intrapopulation variability and little interpopulation differentiation [61, 175, 176]. Increased summer drought will exacerbate the regeneration of many tree species at their lower latitudinal and altitudinal distribution limits and the introduction of more drought tolerant species in vulnerable habitats is considered to facilitate forest persistence [177]. Nevertheless, introducing more drought tolerant species to mitigate climate change might not necessarily be successful due to trade-offs between drought tolerance and growth plasticity. Nicotra et al. [178] sustain the fact that autochthonous provenances have the potential for resistance to change in climatic conditions as a function of both phenotypic plasticity and genotypic variations.

Assessment of vegetation vulnerability and climate change resilience require understanding of the diversity among plant species in the current vegetation and their growth strategies in response to fluctuating resource availability [179]. Since species with extensive geographical range have the potential to exhibit large intraspecific variations in physiology, morphology, and phenology, they may be good models for the study of local and regional adaptations [140]. Nevertheless, adaptation to future global change could require the evolution of a number of different traits that may be constrained by correlations between them [180]. Thus, it is necessary to identify plant functional traits in which plasticity is likely to be a determinant in plant response to global change contributing to predict species distribution changes and shifts [178]. Moreover, it is important to fully understand the ecological consequences at a species and ecosystem level considering that species with a greater adaptive plasticity may be more likely to survive novel environmental conditions, since such changes typically occur too rapidly to allow for an evolutionary (or in some cases a migratory) response. Plasticity is recognized to be a major source of phenotypic variations in the real world because it will influence natural selection and, consequently, patterns of diversification among populations and, ultimately, species [2, 181]. Plasticity promotes evolutionary diversification if the produced phenotypes provide adaptive diversity that under selection becomes evolutionarily fixed [2, 182, 183]. Nevertheless, the extent to which phenotypic plasticity may facilitate survival under changing environmental conditions still remains largely unknown. Although phenotypic plasticity may facilitate short-term adaptation to environmental changes, genetic adaptation might ultimately be necessary for the persistence of species in extreme habitats [177].

In the near future it will be important to collect data by working in the field and, in particular, in primary forests and/or in well-conserved habitats where new stress factors are limited in order to define standard protocols useful for comparative studies. Among the strategies, environment conservation should protect heterogeneity between and within habitats in order to maintain larger intraspecific variability and, thereby conserving a variety of phenotypic specializations that will be able to buffer future environmental extremities due to climate and land-use changes [184].

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  1. C. D. Schlichting, “Phenotypic plasticity in plants,” Plant Species Biology, vol. 17, no. 2-3, pp. 85–88, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. S. E. Sultan, “Promising directions in plant phenotypic plasticity,” Perspectives in Plant Ecology, Evolution and Systematics, vol. 6, no. 4, pp. 227–233, 2004. View at Scopus
  3. F. Valladares, D. Sanchez-Gomez, and M. A. Zavala, “Quantitative estimation of phenotypic plasticity: bridging the gap between the evolutionary concept and its ecological applications,” Journal of Ecology, vol. 94, no. 6, pp. 1103–1116, 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. W. E. Spencer, J. Teeri, and R. G. Wetzel, “Acclimation of photosynthetic phenotype to environmental heterogeneity,” Ecology, vol. 75, no. 2, pp. 301–314, 1994. View at Scopus
  5. L. Gratani, P. Pesoli, M. F. Crescente, K. Aichner, and W. Larcher, “Photosynthesis as a temperature indicator in Quercus ilex L,” Global and Planetary Change, vol. 24, no. 2, pp. 153–163, 2000. View at Publisher · View at Google Scholar · View at Scopus
  6. C. Parmesan, “Ecological and evolutionary responses to recent climate change,” Annual Review of Ecology, Evolution, and Systematics, vol. 37, pp. 637–669, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Matesanz, E. Gianoli, and F. Valladares, “Global change and the evolution of phenotypic plasticity in plants,” Annals of the New York Academy of Sciences, vol. 1206, pp. 35–55, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. M. van Kleunen and M. Fischer, “Progress in the detection of costs of phenotypic plasticity in plants,” New Phytologist, vol. 176, no. 4, pp. 727–730, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Lande, “Adaptation to an extraordinary environment by evolution of phenotypic plasticity and genetic assimilation,” Journal of Evolutionary Biology, vol. 22, no. 7, pp. 1435–1446, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. A. D. Bradshaw, “Evolutionary significance of phenotypic plasticity in plants,” Advances in Genetics, vol. 13, pp. 115–155, 1965. View at Publisher · View at Google Scholar · View at Scopus
  11. S. M. Scheiner and C. J. Goodnight, “The comparison of phenotypic plasticity and genetic variation in populations of the grass Danthonia spicata,” Evolution, vol. 38, pp. 845–855, 1984.
  12. S. Via and R. Lande, “Evolution of genetic variability in a spatially heterogeneous environment: effects of genotype-environment interaction,” Genetical Research, vol. 49, no. 2, pp. 147–156, 1987. View at Scopus
  13. S. Via, R. Gomulkiewicz, G. De Jong, S. M. Scheiner, C. D. Schlichting, and P. H. Van Tienderen, “Adaptive phenotypic plasticity: consensus and controversy,” Trends in Ecology and Evolution, vol. 10, no. 5, pp. 212–217, 1995. View at Publisher · View at Google Scholar · View at Scopus
  14. M. van Kleunen and M. Fischer, “Constraints on the evolution of adaptive phenotypic plasticity in plants,” New Phytologist, vol. 166, no. 1, pp. 49–60, 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. D. D. Ackerly, S. Dudley, S. E. Sultan, et al., “The evolution of plant ecophysiological traits: recent advances and future directions,” BioScience, vol. 50, no. 11, pp. 979–995, 2000. View at Scopus
  16. T. D. Price, A. Qvarnstrom, and D. E. Irwin, “The role of phenotypic plasticity in driving genetic evolution,” Proceedings of the Royal Society B: Biological Sciences, vol. 270, pp. 1433–1440, 2003.
  17. L. Gratani, “Leaf and shoot growth dynamics of Quercus ilex L,” Acta Oecologica, vol. 17, no. 1, pp. 17–27, 1996. View at Scopus
  18. A. Pintado, F. Valladares, and L. G. Sancho, “Exploring phenotypic plasticity in the lichen Ramalina capitata: morphology, water relations and chlorophyll content in North- and South-facing populations,” Annals of Botany, vol. 80, no. 3, pp. 345–353, 1997. View at Publisher · View at Google Scholar · View at Scopus
  19. L. Gratani, M. Meneghini, P. Pesoli, and M. F. Crescente, “Structural and functional plasticity of Quercus ilex seedlings of different provenances in Italy,” Trees—Structure and Function, vol. 17, no. 6, pp. 515–521, 2003. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Zunzunegui, M. C. D. Barradas, F. Ain-Lhout, L. Alvarez-Cansino, M. P. Esquivias, and F. G. Novo, “Seasonal physiological plasticity and recovery capacity after summer stress in Mediterranean scrub communities,” Plant Ecology, vol. 212, no. 1, pp. 127–142, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. D. E. Waitt and D. A. Levin, “Genetic and phenotypic correlations in plants: a botanical test of Cheverud's conjecture,” Heredity, vol. 80, no. 3, pp. 310–319, 1998. View at Scopus
  22. M. A. Arntz and L. F. Delph, “Pattern and process: evidence for the evolution of photosynthetic traits in natural populations,” Oecologia, vol. 127, no. 4, pp. 455–467, 2001. View at Publisher · View at Google Scholar · View at Scopus
  23. S. E. Sultan, “Phenotypic plasticity for plant development, function and life history,” Trends in Plant Science, vol. 5, no. 12, pp. 537–542, 2000. View at Publisher · View at Google Scholar · View at Scopus
  24. L. Gratani and M. F. Crescente, “Phenology and leaf adaptive strategies of Mediterranean maquis plants,” Ecologia Mediterranea, vol. 23, pp. 11–19, 1997.
  25. L. A. Dorn, E. H. Pyle, and J. Schmitt, “Plasticity to light cues and resources in Arabidopsis thaliana: testing for adaptive value and costs,” Evolution, vol. 54, no. 6, pp. 1982–1994, 2000. View at Scopus
  26. F. Valladares, E. Gianoli, and J. M. Gómez, “Ecological limits to plant phenotypic plasticity,” New Phytologist, vol. 176, no. 4, pp. 749–763, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. T. Wyka, P. Robakowski, and R. Zytkowiak, “Acclimation of leaves to contrasting irradiance in juvenile trees differing in shade tolerance,” Tree Physiology, vol. 27, no. 9, pp. 1293–1306, 2007. View at Scopus
  28. M. B. Walters and P. B. Reich, “Seed size, nitrogen supply, and growth rate affect tree seedling survival in deep shade,” Ecology, vol. 81, no. 7, pp. 1887–1901, 2000. View at Scopus
  29. J. Stöcklin, P. Kuss, and A. R. Pluess, “Genetic diversity, phenotypic variation and local adaptation in the alpine landscape: case studies with alpine plant species,” Botanica Helvetica, vol. 119, no. 2, pp. 125–133, 2009. View at Publisher · View at Google Scholar · View at Scopus
  30. F. S. Matos, R. Wolfgramm, F. V. Gonçalves, P. C. Cavatte, M. C. Ventrella, and F. M. DaMatta, “Phenotypic plasticity in response to light in the coffee tree,” Environmental and Experimental Botany, vol. 67, no. 2, pp. 421–427, 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. W. L. Araujo, P. C. Dias, G. A. B. K. Moraes et al., “Limitations to photosynthesis in coffee leaves from different canopy positions,” Plant Physiology and Biochemistry, vol. 46, no. 10, pp. 884–890, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. Ü. Niinemets, O. Kull, and J. D. Tenhunen, “An analysis of light effects on foliar morphology, physiology, and light interception in temperate deciduous woody species of contrasting shade tolerance,” Tree Physiology, vol. 18, no. 10, pp. 681–696, 1998. View at Scopus
  33. H. Ellenberg, Vegetation Ecology of Central Europe, Cambridge University Press, Cambridge, UK, 4th edition, 1988.
  34. H. J. Otto, Waldökologie, Eugen Ulmer, Stuttgart, Germany, 1994.
  35. L. Gratani, R. Catoni, G. Pirone, A. R. Frattaroli, and L. Varone, “Physiological and morphological leaf trait variations in two Apennine plant species in response to different altitudes,” Photosynthetica, vol. 50, no. 1, pp. 15–23, 2012. View at Publisher · View at Google Scholar · View at Scopus
  36. G. Ke and M. J. A. Werger, “Different responses to shade of evergreen and deciduous oak seedlings and the effect of acorn size,” Acta Oecologica, vol. 20, no. 6, pp. 579–586, 1999. View at Publisher · View at Google Scholar · View at Scopus
  37. F. Valladares, J. Chico, I. Aranda et al., “The greater seedling high-light tolerance of Quercus robur over Fagus sylvatica is linked to a greater physiological plasticity,” Trees—Structure and Function, vol. 16, no. 6, pp. 395–403, 2002. View at Scopus
  38. G. Müller-Stark, Biodervisität und Nachhaltige Forstwirtschaft, Ecomed, Landsberg, Germany, 1997.
  39. A. D. Peuke, C. Schraml, W. Hartung, and H. Rennenberg, “Identification of drought-sensitive beech ecotypes by physiological parameters,” New Phytologist, vol. 154, no. 2, pp. 373–387, 2002. View at Publisher · View at Google Scholar · View at Scopus
  40. Z. Wen, Y. Ding, T. Zhao, and J. Gai, “Genetic diversity and peculiarity of annual wild soybean (G. soja Sieb. et Zucc.) from various eco-regions in China,” Theoretical and Applied Genetics, vol. 119, no. 2, pp. 371–381, 2009. View at Publisher · View at Google Scholar · View at Scopus
  41. L. Sack, P. J. Grubb, and T. Marañón, “The functional morphology of juvenile plants tolerant of strong summer drought in shaded forest understories in southern Spain,” Plant Ecology, vol. 168, no. 1, pp. 139–163, 2003. View at Publisher · View at Google Scholar · View at Scopus
  42. Ü. Niinemets, F. Valladares, and R. Ceulemans, “Leaf-level phenotypic variability and plasticity of invasive Rhododendron ponticum and non-invasive Ilex aquifolium co-occurring at two contrasting European sites,” Plant, Cell and Environment, vol. 26, no. 6, pp. 941–956, 2003. View at Publisher · View at Google Scholar · View at Scopus
  43. D. Bastlová and J. Květ, “Phenotypic plasticity in native populations of Lythrum salicaria L. across geographical gradient: between- and within-population differences,” in Ecology and Management of Alien Plant Invasions, L. Child, Ed., pp. 237–247, Backhuys, Leiden, The Netherlands, 2003.
  44. D. Q. Thompson, R. L. Stuckey, and E. B. Thompson, “Spread, impact, and control of purple loosestrife (Lythrum salicaria) in North American wetlands,” U.S. Fish and Wildlife Service, Fish and Wildlife Research Report 2, Washington, DC, USA, 1987.
  45. M. M. Mendes, L. C. Gazarini, and M. L. Rodrigues, “Acclimation of Myrtus communis to contrasting Mediterranean light environments—effects on structure and chemical composition of foliage and plant water relations,” Environmental and Experimental Botany, vol. 45, no. 2, pp. 165–178, 2001. View at Publisher · View at Google Scholar · View at Scopus
  46. L. Gratani, F. Covone, and W. Larcher, “Leaf plasticity in response to light of three evergreen species of the Mediterranean maquis,” Trees—Structure and Function, vol. 20, no. 5, pp. 549–558, 2006. View at Publisher · View at Google Scholar · View at Scopus
  47. J. Oleksyn, J. Modrzyński, M. G. Tjoelker, R. Zytkowiak, P. B. Reich, and P. Karolewski, “Growth and physiology of Picea abies populations from elevational transects: common garden evidence for altitudinal ecotypes and cold adaptation,” Functional Ecology, vol. 12, no. 4, pp. 573–590, 1998. View at Publisher · View at Google Scholar · View at Scopus
  48. L. Poorter, E. Lianes, M. Moreno-de las Heras, and M. A. Zavala, “Architecture of Iberian canopy tree species in relation to wood density, shade tolerance and climate,” Plant Ecology, vol. 213, no. 5, pp. 707–722, 2012. View at Publisher · View at Google Scholar · View at Scopus
  49. M. A. Zavala, J. M. Espelta, and J. Retana, “Constraints and trade-offs in Mediterranean plant communities: the case of holm oak-Aleppo pine forests,” Botanical Review, vol. 66, no. 1, pp. 119–149, 2000. View at Scopus
  50. F. J. Baquedano, F. Valladares, and F. J. Castillo, “Phenotypic plasticity blurs ecotypic divergence in the response of Quercus coccifera and Pinus halepensis to water stress,” European Journal of Forest Research, vol. 127, no. 6, pp. 495–506, 2008. View at Publisher · View at Google Scholar · View at Scopus
  51. S. Palmroth, F. Berninger, E. Nikinmaa, J. Lloyd, P. Pulkkinen, and P. Hari, “Structural adaptation rather than water conservation was observed in Scots pine over a range of wet to dry climates,” Oecologia, vol. 121, no. 3, pp. 302–309, 1999. View at Publisher · View at Google Scholar · View at Scopus
  52. S. Nahum, M. Inbar, G. Ne'eman, and R. Ben-Shlomo, “Phenotypic plasticity and gene diversity in Pistacia lentiscus L. along environmental gradients in Israel,” Tree Genetics and Genomes, vol. 4, no. 4, pp. 777–785, 2008. View at Publisher · View at Google Scholar · View at Scopus
  53. S. E. Sultan, “An emerging focus on plant ecological development,” New Phytologist, vol. 166, no. 1, pp. 1–5, 2005. View at Publisher · View at Google Scholar · View at Scopus
  54. L. Gratani, R. Catoni, and L. Varone, “Morphological, anatomical and physiological leaf traits of Q. ilex, P. latifolia, P. lentiscus, and M. communis and their response to Mediterranean climate stress factors,” Botanical Studies, vol. 54, pp. 1–12, 2013.
  55. L. Gratani, E. Fiorentino, A. Kubova, and P. Marzi, “Effect of microclimate on ecophysiological features of some sclerophyllous species,” Photosynthetica, vol. 23, pp. 230–233, 1989.
  56. L. Balaguer, E. Martínez-Ferri, F. Valladares et al., “Population divergence in the plasticity of the response of Quercus coccifera to the light environment,” Functional Ecology, vol. 15, no. 1, pp. 124–135, 2001. View at Publisher · View at Google Scholar · View at Scopus
  57. A. Bonito, L. Varone, and L. Gratani, “Relationship between acorn size and seedling morphological and physiological traits of Quercus ilex L. from different climates,” Photosynthetica, vol. 49, no. 1, pp. 75–86, 2011. View at Publisher · View at Google Scholar · View at Scopus
  58. P. Pesoli, L. Gratani, and W. Larcher, “Responses of Quercus ilex from different provenances to experimentally imposed water stress,” Biologia Plantarum, vol. 46, no. 4, pp. 577–581, 2003. View at Publisher · View at Google Scholar · View at Scopus
  59. M. Barbero, R. Loisel, and P. Quézel, “Biogeography, ecology and history of Mediterranean Quercus ilex ecosystems,” Vegetatio, vol. 99-100, no. 1, pp. 19–34, 1992. View at Publisher · View at Google Scholar · View at Scopus
  60. J. Terradas and R. Savé, “The influence of summer and winter stress and water relationship on the distribution of Quercus ilex L.,” in Quercus ilex L. Ecosystems: Function, Dynamics and Management, F. Romane and J. Terradas, Eds., pp. 137–145, Kluwer Academic, Dodrecht, The Netherlands, 1992.
  61. H. Michaud, R. Lumaret, and F. Romane, “Variation in the genetic structure and reproductive biology of holm oak populations,” Vegetatio, vol. 99-100, no. 1, pp. 107–113, 1992. View at Publisher · View at Google Scholar · View at Scopus
  62. K. Hayashi, “Growth characteristics and silviculture in Quercus mongolica var. crispula Blume,” in Handbook for Hardwood, K. Sakaguchi, Ed., pp. 122–128, Association For Promotion of Forest Science, Tokyo, Japan, 1985.
  63. M. Higo, “Regeneration behaviors of tree species of secondary stands regenerated on sites disturbed by Typhoon 15: based on the proportion of advanced regeneration, growth rate, and seedling density in closed mature stands,” Journal of the Japanese Forestry Society, vol. 76, pp. 531–539, 1994.
  64. M.-L. Navas and E. Garnier, “Plasticity of whole plant and leaf traits in Rubia peregrina in response to light, nutrient and water availability,” Acta Oecologica, vol. 23, no. 6, pp. 375–383, 2002. View at Publisher · View at Google Scholar · View at Scopus
  65. L. Gratani, M. F. Crescente, V. D’amato, C. Ricotta, A. R. Frattaroli, and G. Puglielli, “Leaf traits variation in Sesleria nitida growing at different altitudes in the Central Apennines,” Photosynthetica. In press.
  66. P. M. S. Ashton and G. P. Berlyn, “Leaf adaptations of some Shorea species to sun and shade,” New Phytologist, vol. 121, no. 4, pp. 587–596, 1992. View at Scopus
  67. R. J. N. Emery, D. M. Reid, and C. C. Chinnappa, “Phenotypic plasticity of stem elongation in two ecotypes of Stellaria longipes: the role of ethylene and response to wind,” Plant, Cell and Environment, vol. 17, no. 6, pp. 691–700, 1994. View at Scopus
  68. M. A. Molina-Montenegro, J. Peñuelas, S. Munné-Bosch, and J. Sardans, “Higher plasticity in ecophysiological traits enhances the performance and invasion success of Taraxacum officinale (dandelion) in alpine environments,” Biological Invasions, vol. 14, no. 1, pp. 21–33, 2012. View at Publisher · View at Google Scholar · View at Scopus
  69. W. Larcher, Physiological Plant Ecology, Springer, Berlin, Germany, 4th edition, 2003.
  70. P. Doughty, “Testing the ecological correlates of phenotypically plastic traits within a phylogenetic framework,” Acta Oecologica, vol. 16, no. 4, pp. 519–524, 1995. View at Scopus
  71. K. Gotthard and S. Nylin, “Adaptive plasticity and plasticity as an adaptation: a selective review of plasticity in animal morphology and life history,” Oikos, vol. 74, no. 1, pp. 3–17, 1995. View at Scopus
  72. S. A. Cook and M. P. Johnson, “Adaptation to heterogeneous environments. I. Variation in heterophylly in Ranunculus flammula,” Evolution, vol. 22, pp. 496–516, 1968.
  73. T. O. Haugen and L. A. Vollestad, “Population differences in early life-history traits in grayling,” Journal of Evolutionary Biology, vol. 13, no. 6, pp. 897–905, 2000. View at Publisher · View at Google Scholar · View at Scopus
  74. C. K. Ghalambor and T. E. Martin, “Comparative manipulation of predation risk in incubating birds reveals variability in the plasticity of responses,” Behavioral Ecology, vol. 13, no. 1, pp. 101–108, 2002. View at Scopus
  75. M. Pigliucci, C. J. Murren, and C. D. Schlichting, “Phenotypic plasticity and evolution by genetic assimilation,” Journal of Experimental Biology, vol. 209, no. 12, pp. 2362–2367, 2006. View at Publisher · View at Google Scholar · View at Scopus
  76. A. Weigelt and P. Jolliffe, “Indices of plant competition,” Journal of Ecology, vol. 91, no. 5, pp. 707–720, 2003. View at Publisher · View at Google Scholar · View at Scopus
  77. P. E. Hulme, “Phenotypic plasticity and plant invasions: is it all Jack?” Functional Ecology, vol. 22, no. 1, pp. 3–7, 2008. View at Publisher · View at Google Scholar · View at Scopus
  78. D. Sánchez-Gómez, F. Valladares, and M. A. Zavala, “Functional traits and plasticity in response to light in seedlings of four Iberian forest tree species,” Tree Physiology, vol. 26, no. 11, pp. 1425–1433, 2006. View at Scopus
  79. H. Poorter, Ü. Niinemets, A. Walter, F. Fiorani, and U. Schurr, “A method to construct dose-response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data,” Journal of Experimental Botany, vol. 61, no. 8, pp. 2043–2055, 2010. View at Publisher · View at Google Scholar · View at Scopus
  80. D. Kuiper and P. J. C. Kuiper, “Phenotypic plasticity in a physiological perspective,” Acta Oecologica Oecologia Plantarum, vol. 9, pp. 43–59, 1988.
  81. F. Valladares, L. Balaguer, E. Martinez-Ferri, E. Perez-Corona, and E. Manrique, “Plasticity, instability and canalization: Is the phenotypic variation in seedlings of sclerophyll oaks consistent with the environmental unpredictability of Mediterranean ecosystems?” New Phytologist, vol. 156, no. 3, pp. 457–467, 2002. View at Publisher · View at Google Scholar · View at Scopus
  82. Ü. Niinemets and F. Valladares, “Photosynthetic acclimation to simultaneous and interacting environmental stresses along natural light gradients: optimality and constraints,” Plant Biology, vol. 6, no. 3, pp. 254–268, 2004. View at Publisher · View at Google Scholar · View at Scopus
  83. M. Zunzunegui, F. Ain-Lhout, M. C. D. Barradas, L. Álvarez-Cansino, M. P. Esquivias, and F. García Novo, “Physiological, morphological and allocation plasticity of a semi-deciduous shrub,” Acta Oecologica, vol. 35, no. 3, pp. 370–379, 2009. View at Publisher · View at Google Scholar · View at Scopus
  84. F. S. Chapin III, K. Autumn, and F. Pugnaire, “Evolution of suites of traits in response to environmental stress,” American Naturalist, vol. 142, pp. S78–S92, 1993. View at Publisher · View at Google Scholar · View at Scopus
  85. F. Valladares, E. Martinez-Ferri, L. Balaguer, E. Perez-Corona, and E. Manrique, “Low leaf-level response to light and nutrients in Mediterranean evergreen oaks: a conservative resource-use strategy?” New Phytologist, vol. 148, no. 1, pp. 79–91, 2000. View at Publisher · View at Google Scholar · View at Scopus
  86. J. C. Crick and J. P. Grime, “Morphological plasticity and mineral nutrient capture in two herbaceous species of contrasted ecology,” New Phytologist, vol. 107, no. 2, pp. 403–414, 1987. View at Scopus
  87. N. G. Dengler, “Comparative histological basis of sun and shade leaf dimorphism in Helianthus annuus,” Canadian Journal of Botany, vol. 58, pp. 717–730, 1980.
  88. J. H. McClendon and G. G. McMillen, “The control of leaf morphology and the tolerance of shade by woody plants,” Botanical Gazette, vol. 143, no. 1, pp. 79–83, 1982. View at Scopus
  89. M. P. Dale and D. R. Causton, “The ecophysiology of Veronica chamaedrys, V. montana and V. officinalis. I. Light quality and light quantity,” Journal of Ecology, vol. 80, no. 3, pp. 483–492, 1992. View at Scopus
  90. J. Květ, J. Svoboda, and K. Fiala, “Canopy development in stands of Typha latifolia L. and Phragmites communis Trin. in South Moravia,” Hidrobiologia, vol. 10, pp. 63–75, 1969.
  91. J. R. Evans, “Leaf anatomy enables more equal access to light and CO2 between chloroplasts,” New Phytologist, vol. 143, no. 1, pp. 93–104, 1999. View at Publisher · View at Google Scholar · View at Scopus
  92. R. B. Wylie, “Principles of foliar organization shown by sun-shade leaves from ten species of deciduous dicotyledonous trees,” American Journal of Botany, vol. 36, pp. 355–361, 1951.
  93. J. H. McClendon, “The relationship between the thickness of deciduous leaves and their maximum photosynthetic rate,” American Journal of Botany, vol. 49, pp. 320–322, 1962.
  94. H. K. Lichtenthaler, C. Buschmann, M. Döll et al., “Photosynthetic activity, chloroplast ultrastructure, and leaf characteristics of high-light and low-light plants and of sun and shade leaves,” Photosynthesis Research, vol. 2, no. 2, pp. 115–141, 1981. View at Publisher · View at Google Scholar · View at Scopus
  95. H. K. Lichtenthaler, G. Kuhn, U. Prenzel, and D. Meier, “Chlorophyll-protein levels and degree of thylakoid stacking in radish chloroplasts from high-light, low-light and bentazon-treated plants,” Physiologia Plantarum, vol. 56, no. 2, pp. 183–188, 1982.
  96. J. R. Evans, “Photosynthesis and nitrogen relationships in leaves of C3 plants,” Oecologia, vol. 78, no. 1, pp. 9–19, 1989. View at Publisher · View at Google Scholar · View at Scopus
  97. K. Hikosaka, “Nitrogen partitioning in the photosynthetic apparatus of Plantago asiatica leaves grown under different temperature and light conditions: similarities and differences between temperature and light acclimation,” Plant and Cell Physiology, vol. 46, no. 8, pp. 1283–1290, 2005. View at Publisher · View at Google Scholar · View at Scopus
  98. T. Hirose and M. J. A. Werger, “Maximizing daily canopy photosynthesis with respect to the leaf nitrogen allocation pattern in the canopy,” Oecologia, vol. 72, no. 4, pp. 520–526, 1987. View at Publisher · View at Google Scholar · View at Scopus
  99. K. Yoshimura, “Irradiance heterogeneity within crown affects photosynthetic capacity and nitrogen distribution of leaves in Cedrela sinensis,” Plant, Cell and Environment, vol. 33, no. 5, pp. 750–758, 2010. View at Publisher · View at Google Scholar · View at Scopus
  100. N. P. R. Anten, “Modelling canopy photosynthesis using parameters determined from simple non-destructive measurements,” Ecological Research, vol. 12, no. 1, pp. 77–88, 1997. View at Scopus
  101. L. Sack, P. J. Melcher, W. H. Liu, E. Middleton, and T. Pardee, “How strong is intracanopy leaf plasticity in temperate deciduous trees?” American Journal of Botany, vol. 93, no. 6, pp. 829–839, 2006. View at Publisher · View at Google Scholar · View at Scopus
  102. Ü. Niinemets, “A review of light interception in plant stands from leaf to canopy in different plant functional types and in species with varying shade tolerance,” Ecological Research, vol. 25, no. 4, pp. 693–714, 2010. View at Publisher · View at Google Scholar · View at Scopus
  103. H. P. Meister, M. M. Caldwell, J. D. Tenhunen, and O. L. Lange, “Ecological implications of sun/shade-leaf differentiation in sclerophyllous canopies: assessment by canopy modeling,” in Plant Response to Stress: Functional Analysis in Mediterranean Ecosystems, J. D. Tenhunen, F. M. Catarino, O. L. Lange, and W. C. Oechel, Eds., pp. 401–411, Springer, Heidelberg, Germany, 1987.
  104. Ü. Niinemets and O. Kull, “Stoichiometry of foliar carbon constituents varies along light gradients in temperate woody canopies: implications for foliage morphological plasticity,” Tree Physiology, vol. 18, no. 7, pp. 467–479, 1998. View at Scopus
  105. F. Valladares, S. J. Wright, E. Lasso, K. Kitajima, and R. W. Pearcy, “Plastic phenotypic response to light of 16 congeneric shrubs from a panamanian rainforest,” Ecology, vol. 81, no. 7, pp. 1925–1936, 2000. View at Scopus
  106. T. J. Givnish, “Adaptive significance of evergreen vs. deciduous leaves: solving the triple paradox,” Silva Fennica, vol. 36, no. 3, pp. 703–743, 2002. View at Scopus
  107. L. Markesteijn, L. Poorter, and F. Bongers, “Light-dependent leaf trait variation in 43 tropical dry forest tree species,” American Journal of Botany, vol. 94, no. 4, pp. 515–525, 2007. View at Publisher · View at Google Scholar · View at Scopus
  108. T. P. Wyka, J. Oleksyn, R. Zytkowiak, P. Karolewski, A. M. Jagodziński, and P. B. Reich, “Responses of leaf structure and photosynthetic properties to intra-canopy light gradients: a common garden test with four broadleaf deciduous angiosperm and seven evergreen conifer tree species,” Oecologia, vol. 170, pp. 11–24, 2012. View at Publisher · View at Google Scholar · View at Scopus
  109. L. Gratani and I. Foti, “Estimating forest structure and shade tolerance of the species in a mixed deciduous broad-leaved forest in Abruzzo, Italy,” Annales Botanici Fennici, vol. 35, no. 2, pp. 75–83, 1998. View at Scopus
  110. L. Gratani, “Canopy structure, vertical radiation profile and photosynthetic function in a Quercus ilex evergreen forest,” Photosynthetica, vol. 33, no. 1, pp. 139–149, 1997. View at Scopus
  111. R. K. P. Yadav, A. M. Bosabalidis, and D. Vokou, “Leaf structural features of Mediterranean perennial species: plasticity and life form specificity,” Journal of Biological Research, vol. 2, pp. 21–34, 2004.
  112. F. Valladares and Ü. Niinemets, “Feature of complex nature and consequences,” Annual Review of Ecology, Evolution, and Systematics, vol. 39, pp. 237–257, 2008.
  113. S. B. Carpenter and N. D. Smith, “A comparative studies of leaf thickness among Southern Appalachian hardwoods,” Canadian Journal of Botany, vol. 59, pp. 1393–1396, 1981.
  114. S. Strauss-Debenedetti and F. A. Bazzaz, “Plasticity and acclimation to light in tropical Moraceae of different sucessional positions,” Oecologia, vol. 87, no. 3, pp. 377–387, 1991. View at Publisher · View at Google Scholar · View at Scopus
  115. C. C. Muth and F. A. Bazzaz, “Tree canopy displacement at forest gap edges,” Canadian Journal of Forest Research, vol. 32, no. 2, pp. 247–254, 2002. View at Publisher · View at Google Scholar · View at Scopus
  116. F. Longuetaud, A. Piboule, H. Wernsdörfer, and C. Collet, “Crown plasticity reduces inter-tree competition in a mixed broadleaved forest,” European Journal of Forest Research, vol. 132, pp. 621–634, 2013.
  117. M. H. Turnbull, “The effect of light quantity and quality during development on the photosynthetic characteristics of six Australian rainforest tree species,” Oecologia, vol. 87, no. 1, pp. 110–117, 1991. View at Publisher · View at Google Scholar · View at Scopus
  118. J. Popma, F. Bongers, and M. J. A. Werger, “Gap-dependence and leaf characteristics of trees in a tropical lowland rain forest in Mexico,” Oikos, vol. 63, no. 2, pp. 207–214, 1992. View at Scopus
  119. F. Valladares, S. Arrieta, I. Aranda et al., “Shade tolerance, photoinhibition sensitivity and phenotypic plasticity of Ilex aquifolium in continental Mediterranean sites,” Tree Physiology, vol. 25, no. 8, pp. 1041–1052, 2005. View at Scopus
  120. R. Catoni, L. Gratani, and L. Varone, “Physiological, morphological and anatomical trait variations between winter and summer leaves of Cistus species,” Flora: Morphology, Distribution, Functional Ecology of Plants, vol. 207, pp. 442–449, 2012. View at Publisher · View at Google Scholar · View at Scopus
  121. A. F. M. van Hees, “Growth and morphology of pedunculate oak (Quercus robur L) and beech (Fagus sylvatica L) seedlings in relation to shading and drought,” Annales des Sciences Forestieres, vol. 54, no. 1, pp. 9–18, 1997. View at Scopus
  122. H. Ishii and S. Asano, “The role of crown architecture, leaf phenology and photosynthetic activity in promoting complementary use of light among coexisting species in temperate forests,” Ecological Research, vol. 25, no. 4, pp. 715–722, 2010. View at Publisher · View at Google Scholar · View at Scopus
  123. A. M. Barton, “Factors controlling plant distributions: drought, competition, and fire in montane pines in Arizona,” Ecological Monographs, vol. 63, no. 4, pp. 367–397, 1993. View at Scopus
  124. J. Martínez-Vilalta and J. Piñol, “Drought-induced mortality and hydraulic architecture in pine populations of the NE Iberian Peninsula,” Forest Ecology and Management, vol. 161, no. 1–3, pp. 247–256, 2002. View at Publisher · View at Google Scholar · View at Scopus
  125. M. A. Zavala, J. M. Espelta, J. Caspersen, and J. Retana, “Interspecific differences in sapling performance with respect to light and aridity gradients in mediterranean pine-oak forests: implications for species coexistence,” Canadian Journal of Forest Research, vol. 41, no. 7, pp. 1432–1444, 2011. View at Publisher · View at Google Scholar · View at Scopus
  126. M. Kitao, T. T. Lei, T. Koike, H. Tobita, and Y. Maruyama, “Susceptibility to photoinhibition of three deciduous broadleaf tree species with different successional traits raised under various light regimes,” Plant, Cell and Environment, vol. 23, no. 1, pp. 81–89, 2000. View at Publisher · View at Google Scholar · View at Scopus
  127. S. S. Mulkey and R. W. Pearcy, “Interactions between acclimation and photoinhibition of photosynthesis of a tropical forest understory herb, Alocasia macrorrhiza, during simulated canopy gap formation,” Functional Ecology, vol. 6, pp. 719–729, 1992.
  128. C. B. Osmond, “What is photoinhibition? Some insights from comparison of shade and sun plants,” in Photoinhibition of Photosynthesis: from Molecular Mechanisms to the Field, N. R. Baker and J. R. Bowyer, Eds., pp. 1–24, BIOS Scientific Publishers, Lancaster, UK, 1994.
  129. T. Koike, M. Kitao, Y. Maruyama, S. Mori, and T. T. Lei, “Leaf morphology and photosynthetic adjustments among deciduous broad-leaved trees within the vertical canopy profile,” Tree Physiology, vol. 21, no. 12-13, pp. 951–958, 2001. View at Scopus
  130. T. Koike, “Photosynthetic responses to light intensity of deciduous broad-leaved tree seedlings raised under various artificial shade,” Environmental Control in Biology, vol. 24, pp. 51–58, 1986.
  131. N. C. Vance and J. B. Zaerr, “Influence of drought stress and low irradiance on plant water relations and structural constituents in needles of Pinus ponderosa seedlings,” Tree Physiology, vol. 8, pp. 175–184, 1991.
  132. S. H. Janse-Ten Klooster, E. J. P. Thomas, and F. J. Sterck, “Explaining interspecific differences in sapling growth and shade tolerance in temperate forests,” Journal of Ecology, vol. 95, no. 6, pp. 1250–1260, 2007. View at Publisher · View at Google Scholar · View at Scopus
  133. T. J. Kawecki and D. Ebert, “Conceptual issues in local adaptation,” Ecology Letters, vol. 7, no. 12, pp. 1225–1241, 2004. View at Publisher · View at Google Scholar · View at Scopus
  134. O. Savolainen, T. Pyhäjärvi, and T. Knürr, “Gene flow and local adaptation in forest trees,” Annual Review of Ecology, Evolution, and Systematics, vol. 37, pp. 595–619, 2007.
  135. K. M. Hufford and S. J. Mazer, “Plant ecotypes: genetic differentiation in the age of ecological restoration,” Trends in Ecology and Evolution, vol. 18, no. 3, pp. 147–155, 2003. View at Publisher · View at Google Scholar · View at Scopus
  136. M. C. Grant and J. B. Mitton, “Genetic differentiation among growth forms of Engelmann spruce and subalpine fir at tree line,” Arctic Antarctic and Alpine Research, vol. 9, pp. 259–263, 1977.
  137. J. B. Mitton, Y. B. Linhart, J. L. Hamrick, and J. S. Beckman, “Observations on the genetic structure and mating system of ponderosa pine in the Colorado front range,” Theoretical and Applied Genetics, vol. 51, no. 1, pp. 5–13, 1977. View at Publisher · View at Google Scholar · View at Scopus
  138. C. K. Kelly, M. W. Chase, A. de Bruijn, M. F. Fay, and F. I. Woodward, “Temperature-based population segregation in birch,” Ecology Letters, vol. 6, no. 2, pp. 87–89, 2003. View at Publisher · View at Google Scholar · View at Scopus
  139. B. C. Bongarten and R. O. Teskey, “Water relations of loblolly pine seedlings from diverse geographic origins,” Tree Physiology, vol. 1, pp. 265–276, 1986.
  140. R. Y. Soolanayakanahally, R. D. Guy, S. N. Silim, E. C. Drewes, and W. R. Schroeder, “Enhanced assimilation rate and water use efficiency with latitude through increased photosynthetic capacity and internal conductance in balsam poplar (Populus balsamifera L.),” Plant, Cell and Environment, vol. 32, no. 12, pp. 1821–1832, 2009. View at Publisher · View at Google Scholar · View at Scopus
  141. J. A. Ramírez-Valiente, F. Valladares, L. Gil, and I. Aranda, “Population differences in juvenile survival under increasing drought are mediated by seed size in cork oak (Quercus suber L.),” Forest Ecology and Management, vol. 257, no. 8, pp. 1676–1683, 2009. View at Publisher · View at Google Scholar · View at Scopus
  142. L. Gratani and M. Amadori, “Post-fire resprouting of shrubby species in Mediterranean maquis,” Vegetatio, vol. 96, no. 2, pp. 137–143, 1991. View at Publisher · View at Google Scholar · View at Scopus
  143. W. Larcher, C. Kainmüller, and J. Wagner, “Survival types of high mountain plants under extreme temperatures,” Flora: Morphology, Distribution, Functional Ecology of Plants, vol. 205, no. 1, pp. 3–18, 2010. View at Publisher · View at Google Scholar · View at Scopus
  144. D. Nogués-Bravo, M. B. Araújo, M. P. Errea, and J. P. Martínez-Rica, “Exposure of global mountain systems to climate warming during the 21st Century,” Global Environmental Change, vol. 17, no. 3-4, pp. 420–428, 2007. View at Publisher · View at Google Scholar · View at Scopus
  145. W. Thuiller, S. Lavorel, M. B. Araújo, M. T. Sykes, and I. C. Prentice, “Climate change threats to plant diversity in Europe,” Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 23, pp. 8245–8250, 2005. View at Publisher · View at Google Scholar · View at Scopus
  146. R. Engler, C. F. Randin, W. Thuiller et al., “21st century climate change threatens mountain flora unequally across Europe,” Global Change Biology, vol. 17, no. 7, pp. 2330–2341, 2011. View at Publisher · View at Google Scholar · View at Scopus
  147. T. Dirnböck, F. Essl, and W. Rabitsch, “Disproportional risk for habitat loss of high-altitude endemic species under climate change,” Global Change Biology, vol. 17, no. 2, pp. 990–996, 2011. View at Publisher · View at Google Scholar · View at Scopus
  148. O. Savolainen, F. Bokma, R. García-Gil, P. Komulainen, and T. Repo, “Genetic variation in cessation of growth and frost hardiness and consequences for adaptation of Pinus sylvestris to climatic changes,” Forest Ecology and Management, vol. 197, no. 1–3, pp. 79–89, 2004. View at Publisher · View at Google Scholar · View at Scopus
  149. A. S. Jump and J. Peñuelas, “Running to stand still: adaptation and the response of plants to rapid climate change,” Ecology Letters, vol. 8, no. 9, pp. 1010–1020, 2005. View at Publisher · View at Google Scholar · View at Scopus
  150. H. Pauli, M. Gottfried, and G. Grabherr, “Effect of climate change on the alpine and nival vegetation of the Alps,” Journal of Mountain Ecology, vol. 7, pp. 9–12, 2003.
  151. M. Lindner, M. Maroschek, S. Netherer et al., “Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems,” Forest Ecology and Management, vol. 259, no. 4, pp. 698–709, 2010. View at Publisher · View at Google Scholar · View at Scopus
  152. J. F. Scheepens, E. S. Frei, and J. Stöcklin, “Genotypic and environmental variation in specific leaf area in a widespread Alpine plant after transplantation to different altitudes,” Oecologia, vol. 164, no. 1, pp. 141–150, 2010. View at Publisher · View at Google Scholar · View at Scopus
  153. A. M. Davidson, M. Jennions, and A. B. Nicotra, “Do invasive species show higher phenotypic plasticity than native species and, if so, is it adaptive? A meta-analysis,” Ecology Letters, vol. 14, no. 4, pp. 419–431, 2011. View at Publisher · View at Google Scholar · View at Scopus
  154. S. L. Chown, S. Slabber, M. A. McGeoch, C. Janion, and H. P. Leinaas, “Phenotypic plasticity mediates climate change responses among invasive and indigenous arthropods,” Proceedings of the Royal Society B: Biological Sciences, vol. 274, no. 1625, pp. 2531–2537, 2007. View at Publisher · View at Google Scholar · View at Scopus
  155. J. S. Dukes, “Tomorrow's plant communities: different, but how?” New Phytologist, vol. 176, no. 2, pp. 235–237, 2007. View at Publisher · View at Google Scholar · View at Scopus
  156. S. C. H. Barrett and B. J. Richardson, “Genetic attributes of invading species,” in Ecology of Biological Invasions, R. H. Groves and J. J. Burdon, Eds., pp. 21–33, 1986.
  157. J. Antonovics, “The nature of limits to natural selection,” Annals of the Missouri Botanical Garden, vol. 63, pp. 224–247, 1976.
  158. S. C. H. Barrett, “Genetic variation in weeds,” in Biological Control of Weeds with Plant Pathogens, R. Charudattan and H. Walker, Eds., pp. 73–98, John Wiley & Sons, New York, NY, USA, 1982.
  159. K. J. Rice and R. N. Mack, “Ecological genetics of Bromus tectorum—II. Intraspecific variation in phenotypic plasticity,” Oecologia, vol. 88, no. 1, pp. 84–90, 1991. View at Publisher · View at Google Scholar · View at Scopus
  160. R. J. Abbott, “Plant invasions, interspecific hybridization and the evolution of new plant taxa,” Trends in Ecology and Evolution, vol. 7, no. 12, pp. 401–405, 1992. View at Scopus
  161. D. G. Williams and R. A. Black, “Phenotypic variation in contrasting temperature environments: growth and photosynthesis in Pennisetum setaceum from different altitudes on Hawaii,” Functional Ecology, vol. 7, no. 5, pp. 623–633, 1993. View at Scopus
  162. L. Z. Durand and G. Goldstein, “Photo-synthesis, photoinhibition, and nitrogen use efficiency in native and invasive tree ferns in Hawaii,” Oecologia, vol. 126, no. 3, pp. 345–354, 2001. View at Publisher · View at Google Scholar · View at Scopus
  163. D. G. Williams, R. N. Mack, and R. A. Black, “Ecophysiology of introduced Pennisetum setaceum on Hawaii: the role of phenotypic plasticity,” Ecology, vol. 76, no. 5, pp. 1569–1580, 1995. View at Scopus
  164. O. K. Atkin, B. R. Loveys, L. J. Atkinson, and T. L. Pons, “Phenotypic plasticity and growth temperature: understanding interspecific variability,” in Meeting on Phenotypic Plasticity and the Changing Environment Held at the Society for Experimental Biology Plant Frontiers Meeting, pp. 267–281, Sheffield, UK, 2005.
  165. P. J. Yeh and T. D. Price, “Adaptive phenotypic plasticity and the successful colonization of a novel environment,” American Naturalist, vol. 164, no. 4, pp. 531–542, 2004. View at Publisher · View at Google Scholar · View at Scopus
  166. J. L. Funk, “Differences in plasticity between invasive and native plants from a low resource environment,” Journal of Ecology, vol. 96, no. 6, pp. 1162–1173, 2008. View at Publisher · View at Google Scholar · View at Scopus
  167. S. Lavergne and J. Molofsky, “Increased genetic variation and evolutionary potential drive the success of an invasive grass,” Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 10, pp. 3883–3888, 2007. View at Publisher · View at Google Scholar · View at Scopus
  168. R. E. Drenovsky, B. J. Grewell, C. M. D’Antonio et al., “A functional trait perspective on plant invasions,” Annals of Botany, vol. 110, pp. 141–153, 2012.
  169. O. Godoy, A. Saldana, N. Fuentes, F. Valladares, and E. Gianoli, “Forests are not immune to plant invasions: phenotypic plasticity and local adaptation allow Prunella vulgaris to colonize a temperate evergreen rainforest,” Biological Invasions, vol. 13, no. 7, pp. 1615–1625, 2011. View at Publisher · View at Google Scholar · View at Scopus
  170. S. J. DeWalt, J. S. Denslow, and J. L. Hamrick, “Biomass allocation, growth, and photosynthesis of genotypes from native and introduced ranges of the tropical shrub Clidemia hirta,” Oecologia, vol. 138, no. 4, pp. 521–531, 2004. View at Publisher · View at Google Scholar · View at Scopus
  171. P. Poot and H. Lambers, “Shallow-soil endemics: adaptive advantages and constraints of a specialized root-system morphology,” New Phytologist, vol. 178, no. 2, pp. 371–381, 2008. View at Publisher · View at Google Scholar · View at Scopus
  172. G.-R. Walther, E. Post, P. Convey et al., “Ecological responses to recent climate change,” Nature, vol. 416, no. 6879, pp. 389–395, 2002. View at Publisher · View at Google Scholar · View at Scopus
  173. A. Menzel, T. H. Sparks, N. Estrella, et al., “European phenological response to climate change matches the warming pattern,” Global Change Biology, vol. 12, pp. 1–8, 2006.
  174. Y. Vitasse, C. C. Bresson, A. Kremer, R. Michalet, and S. Delzon, “Quantifying phenological plasticity to temperature in two temperate tree species,” Functional Ecology, vol. 24, no. 6, pp. 1211–1218, 2010. View at Publisher · View at Google Scholar · View at Scopus
  175. M. Desponts and J. P. Simon, “Structure et variabilité génétique de populations d'épinettes noires (Picea mariana (Mill.) B.S.P.) dans la zone hémiarctique du Nouveau- Quèbec,” Canadian Journal of Forest Research, vol. 17, pp. 1006–1012, 1987.
  176. F. Villani, S. Benedettelli, M. Paciucci, M. Cherubini, and M. Pigliucci, “Genetic variation and differentiation between natural populations or chestnust (Castanea sativa Mill.) from Italy,” in Biochemical Markers in the Population Genetics of Forest Trees, H. H. Hattemer, S. Fineschi, F. Cannata, and M. E. Malvolti, Eds., pp. 91–103, SPB Acadamic, The Hague, The Netherlands, 1991.
  177. S. Richter, T. Kipfer, T. Wohlgemuth, C. C. Guerrero, J. Ghazoul, and B. Moser, “Phenotypic plasticity facilitates resistance to climate change in a highly variable environment,” Oecologia, vol. 169, no. 1, pp. 269–279, 2012. View at Publisher · View at Google Scholar · View at Scopus
  178. A. B. Nicotra, O. K. Atkin, S. P. Bonser et al., “Plant phenotypic plasticity in a changing climate,” Trends in Plant Science, vol. 15, no. 12, pp. 684–692, 2010. View at Publisher · View at Google Scholar · View at Scopus
  179. I. K. Dawson, A. Lengkeek, J. C. Weber, and R. Jamnadass, “Managing genetic variation in tropical trees: Linking knowledge with action in agroforestry ecosystems for improved conservation and enhanced livelihoods,” Biodiversity and Conservation, vol. 18, no. 4, pp. 969–986, 2009. View at Publisher · View at Google Scholar · View at Scopus
  180. J. R. Etterson and R. G. Shaw, “Constraint to adaptive evolution in response to global warming,” Science, vol. 294, no. 5540, pp. 151–154, 2001. View at Publisher · View at Google Scholar · View at Scopus
  181. S. M. Scheiner, “The genetics of phenotypic plasticity. VII. Evolution in a spatially-structured environment,” Journal of Evolutionary Biology, vol. 11, no. 3, pp. 303–320, 1998. View at Publisher · View at Google Scholar · View at Scopus
  182. G. G. Simpson, “The Baldwin effect,” Evolution, vol. 7, pp. 110–117, 1953.
  183. M. Pigliucci and C. J. Murren, “Genetic assimilation and a possible evolutionary paradox: can macroevolution sometimes be so fast as to pass us by?” Evolution, vol. 57, no. 7, pp. 1455–1464, 2003. View at Scopus
  184. C. Wellstein, S. Chelli, G. Campetella et al., “Intraspecific phenotypic variability of plant functional traits in contrasting mountain grassland habitats,” Biodiversity and Conservation, vol. 22, pp. 2353–2374, 2013.