| Literature DB >> 31198559 |
Tadeja Savi1,2, Valentino Casolo3, Anna Dal Borgo1, Sabine Rosner4, Valentina Torboli1, Barbara Stenni5, Paolo Bertoncin1, Stefano Martellos1, Alberto Pallavicini1, Andrea Nardini1.
Abstract
Ongoing climate change is apparently increasing tree mortality rates, and understanding mechanisms of drought-induced tree decline can improve mortality projections. Differential drought impact on conspecific individuals within a population has been reported, but no clear mechanistic explanation for this pattern has emerged. Following a severe drought (summer 2012), we monitored over a 3-year period healthy (H) and declining (D) Pinus nigra trees co-occurring in a karstic woodland to highlight eventual individual-specific physiological differences underlying differential canopy dieback. We investigated differences in water and carbon metabolism, and xylem anatomy as a function of crown health status, as well as eventual genotypic basis of contrasting drought responses. H and D trees exploited the same water pools and relied on similar hydraulic strategies to cope with drought stress. Genetic analyses did not highlight differences between groups in terms of geographical provenance. Hydraulic and anatomical analyses showed conflicting results. The hydraulic tracheid diameter and theoretical hydraulic conductivity were similar, but D trees were characterized by lower water transport efficiency, greater vulnerability to xylem conduit implosion and reduced carbohydrate stores. Our results suggest that extreme drought events can have different impacts on conspecific individuals, with differential vulnerability to xylem embolism likely playing a major role in setting the fate of trees under climate change.Entities:
Keywords: Black pine; carbon metabolism; drought; plastome; rooting depth; water status
Year: 2019 PMID: 31198559 PMCID: PMC6541882 DOI: 10.1093/conphys/coz012
Source DB: PubMed Journal: Conserv Physiol ISSN: 2051-1434 Impact factor: 3.079
Figure 1Vulnerability curves (VCs) reporting the relationship between stem-specific hydraulic conductivity (Ks) and xylem water potential (Ψxyl), as measured for healthy (H, closed circles, solid line) and desiccated (D, open circles, dashed line) P. nigra trees. The sigmoidal regressions are also reported. The Ψxyl inducing 20 (P20) and 50 (P50) % loss of Ks were −1.67 and −3.24 MPa, and −1.42 and −3.63 MPa for H and D group, respectively (fit-PLC, Duursma and Choat, 2016). The insets show the VC of H trees based on Ks data that were within the observable range for both populations (0.03–0.68 kg s−1 MPa−1 m−1).
Ring width, annual ring area, percentage of latewood, tracheid diameter (d), tracheid wall thickness (t), thickness-to-span ratio, tracheid density, hydraulic mean diameters (Dh) and theoretical hydraulic conductivity (Ktheor) measured for healthy (H) and desiccated (D) individuals in the last tree annual rings (2011–2013)
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| Ring width, mm |
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| Ring area, mm2 | 4.6 ± 0.7 | 3.3 ± 0.9 | 2.9 ± 0.7 | 4.7 ± 0.8 | 4.2 ± 1.24 | 2.9 ± 0.7 |
| Late wood, % | 27.7 ± 4.4 | 24.1 ± 5.2 | 28.2 ± 4.9 | 27.6 ± 6.6 | 18.4 ± 2.8 | 28.8 ± 5.8 |
| Tracheid diameter, μm | 12.0 ± 0.4 | 12.4 ± 0.3 | 12.2 ± 0.3 | 12.4 ± 0.3 | 12.7 ± 0.3 | 12.1 ± 0.5 |
| Wall thickness, μm | 4.0 ± 0.3 | 3.8 ± 0.2 | 3.6 ± 0.2 | 3.7 ± 0.2 | 3.4 ± 0.4 | 3.7 ± 0.3 |
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| Tracheid density, mm−2 | 3739 ± 83 | 3687 ± 231 | 3850 ± 293 | 3868 ± 49 | 3979 ± 106 | 3855 ± 275 |
| Dh ( | 15.7 ± 0.6 | 16.3 ± 0.3 | 15.6 ± 0.4 | 17.1 ± 0.5 | 16.2 ± 0.7 | 15.8 ± 0.7 |
| Dh ( | 13.2 ± 0.4 | 13.8 ± 0.2 | 13.1 ± 0.3 | 13.9 ± 0.3 | 13.6 ± 0.4 | 13.1 ± 0.4 |
| Ktheor, kg s−1 MPa−1 m−1 | 3.2 ± 0.2 | 3.7 ± 0.1 | 3.1 ± 0.1 | 4.0 ± 0.2 | 3.8 ± 0.3 | 3.2 ± 0.2 |
Values with significant differences are reported in bold. Mean ± SEM are reported. Upper-case letters indicate statistically significant difference (P < 0.05) between health classes (Factor I), while lower-case letters indicate statistically significant difference among years (Factor II), as tested using two-way ANOVA. No statistically significant interaction between factors was observed.
Pre-dawn (Ψpd) and minimum water potential (Ψmin) and leaf conductance to water vapour (gL) measured in healthy (H) and desiccated (D) trees in June (a) and July (b) 2015
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| Ψpd, −MPa | 0.44 ± 0.01 | 0.49 ± 0.04 |
| Ψmin, −MPa | 0.96 ± 0.03 | 1.08 ± 0.06 |
| gL, mmol m−2 s−1 | 160.2 ± 12.8 | 213.2 ± 25.7 |
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| Ψpd, −MPa | 1.38 ± 0.03 | 1.35 ± 0.04 |
| Ψmin, −MPa | 1.69 ± 0.03 | 1.73 ± 0.05 |
| gL, mmol m−2 s−1 | 28.4 ± 11.8 | 31.3 ± 3.09 |
Mean ± SEM are reported.
Figure 2Relationship between relative leaf conductance to water vapour (gL_REL), as measured in H (closed circles, solid line) and D (open circles, dashed line) branches at progressively lower leaf water potential (Ψleaf). Coefficients of the linear regressions are also reported.
Figure 3Oxygen isotopic composition of xylem sap (δ18O) extracted from branches of healthy (H, black columns) and desiccated (D, grey columns) individuals in June and July 2015. Mean ± standard error of the mean (SEM) are reported. Lower-case letters denote a significant difference between sampling seasons (June vs July), while differences between D and H trees were not significant (two-way ANOVA). No statistically significant interaction between factors was observed.
Figure 4Glucose (a), fructose (b), sucrose (c) and starch (d) concentration measured in bark and wood of H (black and grey dashed columns, respectively) and D (white and white dashed columns, respectively) trees in June and July 2015. Mean ± SEM are reported. Upper-case letters and asterisks indicate statistically significant difference (P < 0.05) between health classes (Factor I) and growing seasons (Factor III), respectively. For sucrose and starch statistically significant differences between wood and bark tissue (Factor II) was also observed. Complete output of the three-way ANOVA in Table S2