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Record W2782099992 · doi:10.1111/nph.14043

On research priorities to advance understanding of the safety–efficiency tradeoff in xylem

2016· letter· en· W2782099992 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNew Phytologist · 2016
Typeletter
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsUniversity of GuelphUniversity of Alberta
Fundersnot available
KeywordsXylemParenchymaLumen (anatomy)Fraction (chemistry)ClimbingBiologyBiophysicsBotanyChemistryEcologyCell biology

Abstract

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We appreciate Bittencourt et al.'s (2016; in this issue of New Phytologist, pp. 1152–1155) constructive contributions following our paper, Gleason et al. (2016), on the proposed tradeoff between hydraulic safety and efficiency. To continue this dialog we would like to comment on which of the research directions proposed by Bittencourt et al. seem most promising to us. We agree that various xylem tissue fractions could potentially modify the safety–efficiency relationship. In principle, any tissue fraction could trade off with any other tissue fraction. However, as a matter of observation, parenchyma fraction is negatively correlated with fiber fraction, whereas parenchyma and fiber fractions are not strongly correlated with vessel lumen fraction (Ziemińska et al., 2015; Morris et al., 2016). As such, vessel lumen fraction, vessel diameter, and vessel frequency are largely uncoupled from nonvessel tissue fractions across self-supporting angiosperm species (Zanne et al., 2010), and are therefore unlikely to trade off with mechanical safety and hydraulic efficiency (or safety). Furthermore, vessel lumen fraction itself does not vary markedly across angiosperms, ranging from c. 5% to 20% (mean ≈ 15%) (Zanne et al., 2010; Morris et al., 2016), although larger fractions are not uncommon in ring-porous and climbing species. Contrasts between climbing (e.g. lianas) and freestanding growth forms are more likely to show differences in allocation to vessel vs nonvessel space, and the climbing habit therefore may offer a more appropriate system for evaluating this idea (Gartner, 1991). Gymnosperm xylem differs from angiosperm xylem in that it generally lacks axial parenchyma, and conduits are both conductive and load-bearing. Greater mechanical safety may be negatively correlated with both hydraulic safety and efficiency across gymnosperm species (Mayr & Cochard, 2003; Mayr et al., 2003). Considering angiosperms, it is likely that nonvessel tissue fractions influence the safety–efficiency tradeoff indirectly (e.g. via their contribution to xylem capacitance, or whole-plant growth), rather than being forced by limited xylem space. Bittencourt et al. suggest that expressing conductivity as a ratio with mass, rather than cross-sectional area, might better characterize the energetic costs associated with xylem. We agree with this suggestion and did consider the influence of specific gravity on the safety–efficiency tradeoff in our paper (Table 2 and Figs 3d, 4d in Gleason et al., 2016). Here, we formulate these results by expressing the y axis explicitly as xylem-specific conductivity/specific gravity (Fig. 1), as suggested by Bittencourt et al. Specific gravity, safety and efficiency values were generally obtained from the same published reports. Similar to the results we report in Gleason et al. (2016), including specific gravity in the analyses increases the tradeoff r2 in both angiosperms (0.11–0.14) and gymnosperms (0.10–0.15) when safety is defined as P50. A similar increase in r2 is achieved when defining safety as P88 and there is no change when defining safety as P12. Although including xylem density does increase the amount of variation explained by the models, they still fall far short of explaining why many species exhibit both low safety and low efficiency. Despite the analysis provided in Fig. 1, we feel that the clearest approach to analyzing these inter-correlated variables will be to consider all known sources of variation (e.g. structural equation models) rather than expressing them as a ratio with conductivity (e.g. conductivity/parenchyma fraction). Such ratios build an assumption of proportionality between the two elements of the ratio, which are not necessarily what we should expect. It remains a possibility that xylem safety, expressed as the xylem water potential at which a fraction of maximal conductance is lost, may not be an accurate approximation for all species in all situations. Although we agree in principle that safety (e.g. P50) may not correlate with mortality similarly across species, there is good evidence to suggest that it does for many angiosperm and gymnosperm species (Pratt et al., 2008; Brodribb & Cochard, 2009; Brodribb et al., 2010). This suggests that there may be an intrinsic property of xylem to resist desiccation (angiosperm Ψleaf > P88; gymnosperm Ψleaf > P50), beyond which the probability of mortality increases precipitously. Measurements of hydraulic safety, as well as conductivity during drought, should serve as more appropriate predictors of mortality than other measurements of water status (e.g. turgor loss point in leaves or stomatal response) because percentage loss of conductance is a meaningful representation of xylem desiccation. However, it is also clear that there are mechanisms that delay the time to reach a desiccation–mortality threshold. As suggested by Bittencourt et al. and Brodersen (2016), these would include deciduousness, deep rooting, reduced stomatal ‘leakiness’, reduced cuticular conductance, CAM and C4 metabolism, and capacitance. However, considering tradeoffs with either safety or efficiency, in isolation of one another (e.g. safety–capacitance), does not inform our efforts to understand the proposed link between safety and efficiency. For example, if greater capacitance reduces the requirement for safety, natural selection should still be free to improve efficiency, which would provide benefit via greater stomatal conductance or lower stem construction and maintenance costs. In addition to acquiring traits that delay the onset of critical levels of xylem desiccation, individual species within communities may have different strategies for tolerating embolism, and these could modify the safety–mortality relationship, e.g. Coleogyne ramosissima in Jacobsen et al. (2008), which routinely tolerates > 50% loss of stem conductivity. Species that exhibit re-sprouting after permanent damage to the xylem may have lower whole-plant mortality rates at a given level of xylem safety (Pratt et al., 2007). The presence of nonperforate tracheary elements (e.g. vasicentric and true tracheids) may represent a small, but particularly robust contribution to water transport, and confer greater survival at a given level of safety (Carlquist, 1984; Pratt et al., 2015). Recovery strategies, based on formation of new xylem or repair of embolized xylem (Nardini et al., 2011; Mayr et al., 2014; Earles et al., 2016), may allow species to tolerate greater levels of conductivity loss. The proximate causes for why safety and efficiency should tradeoff with one another are a separate issue from the ecological contexts in which it occurs. For example, a species may be present in a habitat that requires less hydraulic efficiency (or safety) but this does not inform us about which xylem or vessel traits should give rise to a tradeoff in the first place. Determining the proximate causes of safety and efficiency are important, e.g. Wheeler et al. (2005), Loepfe et al. (2007), Schenk et al. (2015). In particular, understanding why pit-level tradeoffs exist but are not manifested at the branch level is an important gap in the current state of our field. Mechanistic information that would allow up-scaling safety and efficiency from the pit- to plant-level, if aligned with the proper genetic understanding, could be used to improve plant performance in dry habitats (e.g. crop and forestry species). We suggest this area of research could potentially provide a large social benefit. Progress on the issues discussed here and in Bittencourt et al. would benefit by considering the ‘currency’ in which conductivity loss should be evaluated. Declining xylem water potential and subsequent loss of conductivity during drought will eventually result in mortality if precipitation is not received to alleviate stress. If we think mortality should be our focus, then we can understand its effect on metapopulations from a demographic approach (Martínez-Vilalta et al., 2010). When precipitation is received before plant death, damaged xylem must be replaced (Brodribb et al., 2010) or refilled (Nardini et al., 2011; Earles et al., 2016), but see Cochard & Delzon (2013). If xylem refilling represents an important cost, then the refilling mechanism itself must first be understood before costs can be estimated. However, if damaged xylem cannot be refilled (Cochard & Delzon, 2013; Choat et al., 2015), we might expect photosynthesis to be reduced until new xylem can be added. This loss of photosynthetic income is likely to be important, and therefore, we need to know its cost, as well as the cost of xylem replacement. Choosing the most appropriate among these currencies will be important for assessing the tradeoffs involved in plant water transport. S.M.G., M.W., S.J., B.C., T.J.B., H.C., S.D., U.G.H., A.L.J., D.M.J., F.L., H.M., J.M-V., S.M., K.A.M., H.M., A.N., L.P., R.B.P., S.G.S. and A.E.Z. contributed ideas and assisted with writing the manuscript.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.314
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it