Warming puts the squeeze on photosynthesis – lessons from tropical trees
Notice bibliographique
Résumé
Tropical forests are regions of relative thermal stability and so, although equatorial regions are expected to experience less climate warming than the global average in coming years, tropical trees might be more vulnerable to change. But are they? In this issue of Journal of Experimental Botany, Slot and Winter (2017) provide one of the most comprehensive studies on thermal acclimation of tropical trees to date. Climate change will increase global temperatures by 2–4 °C in the next 85 years. While this represents an enormous shift in the Earth’s climate, warming is not expected to be uniform over the globe, with equatorial regions warming by ‘only’ 1–2 °C by 2050 (IPCC, 2013). This might lead to the conclusion that tropical forests are therefore less at risk from climate warming than other biomes (Sala et al., 2000). However, tropical forests are regions of thermal stability: on a geological timescale, they have avoided the repeated glaciations and associated climate extremes experienced by higher latitudes. On much shorter timescales, diurnal temperatures may fluctuate by only 5 °C, while monthly mean temperatures may differ by just 1–4 °C across the year (Trewin, 2014), an enormous contrast to the broad temperature swings that temperate and boreal trees experience on a daily and yearly basis. It has thus long been thought that tropical species may be adapted to a narrow thermal niche and that the ability to tolerate and acclimate to temperatures outside this temperature range may be much more limited than it is in higher latitude species (Janzen, 1967). If this is true, then the relatively small increases in temperatures expected in low latitudes may actually cause greater thermal stress in tropical forests than the larger degree of warming will in temperate and tropical trees. Indeed, increased growth temperatures decrease tree growth in tropical species in almost every study (Way and Oren, 2010). Given that tropical forests contain more than 50% of the carbon found in forests (Pan et al., 2011) and that the majority of the world’s biodiversity is in the tropics (Lewis, 2006), declines in the growth, carbon sequestration and survival of tropical tree species in a warmer world would have dire consequences. While we have considerable data on how temperate species respond to increased growth temperatures, there are only a handful of studies looking at the thermal acclimation capacity of tropical tree species, and this paucity of information impedes our ability to predict how low-latitude forests will respond to a future, warmer world. The new paper by Slot and Winter (2017) provides one of the most comprehensive studies on thermal acclimation of tropical trees to date. They grew seedlings of three common lowland tropical species at 25 °C, 30 °C and 35 °C and assessed how photosynthesis, respiration and growth were affected by the different temperature regimes. The good news is that all the species acclimated to the warmer temperatures: the thermal optimum of photosynthesis (Topt, the temperature at which carbon uptake is maximized) increased with increasing growth temperature, and respiration rates were lower in plants from warmer treatments (indicating a reduction in carbon losses). But there was also bad news. The shift in Topt was smaller than the shift in growth temperature, net photosynthetic rates at the growth temperature (Pgrowth, the most ecologically relevant measurement of CO2 uptake) were reduced in plants grown at the warmest temperature, and the photosynthetic capacity of leaves showed little plasticity to growth temperature. Most strikingly, one of the three species (Calophyllum longifolium) grew so poorly at 35 °C that Slot and Winter had to use a 33 °C treatment to provide enough leaves to collect their data. Even under this lower, ‘severe’ warming treatment, the late-successional C. longifolium showed substantial reductions in photosynthesis compared to seedlings grown at 25 and 30 °C, and also compared to the other species in the study, Ficus insipida and Ochroma pyramidale, which are both early-successional. Overall, the results indicate that while photosynthesis in the study species shows some plasticity to increasing temperatures, acclimation cannot keep pace with warming, and this failure to acclimate successfully may be worse in late-successional species, as also seen in Cheesman and Winter (2013). One of the most interesting parts of the work by Slot and Winter (2017) was their assessment of the high-temperature CO2 compensation point, the upper leaf temperature at which net CO2 assimilation rates were zero (Tmax; see Box 1). Recent work has explored how thermal acclimation affects photosynthetic traits such as Topt and Pgrowth, (Way and Yamori, 2014; Yamori et al., 2014). Also, Yamori et al. (2014) noted that the span of leaf temperatures that realizes 80% of the maximum photosynthetic rate was invariant with growth temperature, implying that the temperature response of net photosynthesis is not narrowed or broadened by warming. However, there is almost nothing known about how Tmax is affected by changes in growth temperature. In their study, Slot and Winter (2017) found that a 10 °C change in growth temperature had no effect on Tmax, but Tmax did vary between species: while Tmax was 45 °C in C. longifolium (the late-successional species with pronounced mortality at 35 °C), Tmax was 50 °C for both F. insipida and O. pyramidale. The combination of a shift in Topt without a corresponding shift in Tmax in plants grown at warmer temperatures resulted in a narrowing of the temperature-response curve of photosynthesis. The solid, blue line represents a cool-grown leaf and the dashed, red line represents a warm-grown leaf. Plants grown at higher temperatures usually exhibit an increased photosynthetic thermal optimum (Topt, shown as a point on each curve), but there is little data on how Tmax (the upper temperature at which net CO2 assimilation rates are zero, i.e. carbon gain balances carbon loss) responds to warming. If Topt increases but Tmax remains constant, as in Slot and Winter (2017), the temperature response of net photosynthesis is ‘squeezed’ and becomes narrower. To further explore the extent to which Tmax changes in response to an increase in growth temperature, we collated data from 34 published studies (Box 2; Table 1) that reported temperature-response curves of net photosynthesis for plants grown at two or more different thermal regimes. Only papers with measurements that included points of declining net CO2 assimilation rates above the Topt were used, ensuring a robust estimate of Tmax. We then estimated Tmax for both control and warm-grown plants for each reported species using a second-order polynomial fit to the temperature-response curve of net photosynthesis. Although there is considerable variation in the relationship between the degree of warming and the shift in Tmax, overall, a 1 °C increase in growth temperature led to a 0.4 °C increase in Tmax. Unfortunately, there is insufficient data to determine if there are significant differences in the thermal acclimation of Tmax between plant functional types, but in 25% of the cases assessed, Tmax actually decreased with increasing growth temperature (Box 2). Based on these findings, the inability of the tropical species investigated in Slot and Winter (2017) to shift their Tmax is uncommon, and may be related to the high values for Tmax, which are close to temperatures that can cause irreversible damage to leaves (Krause et al., 2010; 2015). Change in Tmax (∆ Tmax) of net CO2 assimilation rate as a function of the increase in growth temperature (∆ Tgrowth) in plant species from four plant functional types (see key). Each point plotted represents a comparison between cool and warm-grown plants from a single study (Table 1). The dotted line shows the regression for all data taken together (y=–1.29 + 0.40x; r2=0.13; P=0.0002). Species/functional types used in the high-temperature CO2compensation point analysis Although Slot and Winter (2017) provide critical data on how carbon fluxes in tropical species acclimate to warming, there is a pressing need to move beyond gas exchange measurements in these types of studies. Many papers on thermal acclimation measure traits such as leaf nitrogen concentrations and specific leaf area, but future studies should delve more deeply into the biochemical and physiological mechanisms underlying photosynthetic (and respiratory) acclimation. Recent studies in tropical tree species have highlighted the importance of within-leaf N allocation as a strong determinant of variation in photosynthetic capacity (Coste et al., 2005; Dusenge et al., 2015). Specifically, Scafaro et al. (2016) demonstrated that accounting for changes in N allocation to the CO2-fixing enzyme Rubisco in response to growth temperature explained the measured variation in photosynthetic capacity in a range of temperate and tropical species. Shifts in N allocation between the Calvin cycle and electron transport may represent a major theme for thermal acclimation of carbon gain (Hikosaka et al., 2006), but we still lack a predictive model of photosynthetic acclimation to temperature that could explain the variation we see between plant functional types (as described in Yamori et al., 2014, and Way and Yamori, 2014). While this is not a problem unique to tropical systems, building such a model will require a much more extensive understanding of how changes in temperature affect photosynthesis in a broad range of species and ecosystems. This represents a significant challenge, but it would be an important step forward for predicting future carbon fluxes in vegetation.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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