Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest

Tei, Shunsuke; Sugimoto, Akihiro; Kotani, Ayumi; Ohta, Takeshi; Morozumi, Tatsuya; Saito, Soma; Hashiguchi, Shuhei; Maximov, Trofim C.

doi:10.1016/j.polar.2019.02.001

Cited by 26 publications

(15 citation statements)

References 77 publications

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“…This contrast in 13 C R -GPP correlations between the temperate and boreal region mirrors a shift from a positive to a negative relationship between 13 C R and tree-ring width due to a change from water-limited to temperature-limited leaf physiology (Shestakova et al, 2019). These model-based isotope-GPP relationships are consistent with recent findings showing that tree-ring δ 18 O correlates with satellite-based NPP over large spatial scales, whereas 13 C has a more spatially variable correlation with GPP (Belmecheri et al, 2014;Levesque et al, 2019;Tei et al, 2019) and ring width (Shestakova et al, 2017(Shestakova et al, , 2019.…”

Section: Simulated Relationship Between Isotopic Variability and Productivitysupporting

confidence: 88%

“…Simulated δ 18 O has been used to evaluate the representation of hydrological processes along the soil-plant-atmosphere continuum (Risi et al, 2016) and interpret the variability in tree-ring δ 18 O data in terms of climatic drivers and source water δ 18 O (Shi et al, 2011;Keel et al, 2016;Churakova et al, 2016). The interannual variability of tree-ring δ 13 C and δ 18 O has been shown to correlate with local eddycovariance measurements of forest productivity (Belmecheri et al, 2014;Tei et al, 2019). A recent study showed that the relationship holds at a regional scale and is stronger for δ 18 O than δ 13 C and tree-ring width (Levesque et al, 2019), suggesting that tree-ring isotopic variability might integrate large-scale physiological signals useful to evaluate global carbon cycle models.…”

Section: Introductionmentioning

confidence: 99%

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A triple tree-ring constraint for tree growth and physiology in a global land surface model

et al. 2021

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Abstract. Annually resolved tree-ring records extending back to pre-industrial conditions have the potential to constrain the responses of global land surface models at interannual to centennial timescales. Here, we demonstrate a framework to simultaneously constrain the representation of tree growth and physiology in the ORCHIDEE global land surface model using the simulated variability of tree-ring width and carbon (Δ13C) and oxygen (δ18O) stable isotopes in six sites in boreal and temperate Europe. We exploit the resulting tree-ring triplet to derive integrative constraints for leaf physiology and growth from well-known mechanistic relationships among the variables. ORCHIDEE simulates Δ13C (r=0.31–0.80) and δ18O (r=0.36–0.74) better than tree-ring width (r<0.55), with an overall skill similar to that of a tree-ring model (MAIDENiso) and another isotope-enabled global vegetation model (LPX-Bern). The comparison with tree-ring data showed that growth variability is not well represented in ORCHIDEE and that the parameterization of leaf-level physiological responses (stomatal control) to drought stress in the temperate region can be constrained using the interannual variability of tree-ring stable isotopes. The representation of carbon storage and remobilization dynamics emerged as a critical process to improve the realism of simulated growth variability, temporal carryover, and recovery of forest ecosystems after climate extremes. Simulated forest gross primary productivity (GPP) correlates with simulated tree-ring Δ13C and δ18O variability, but the origin of the correlations with tree-ring δ18O is not entirely physiological. The integration of tree-ring data and land surface models as demonstrated here should guide model improvements and contribute towards reducing current uncertainties in forest carbon and water cycling.

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Section: Simulated Relationship Between Isotopic Variability and Productivitysupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

A triple tree-ring constraint for tree growth and physiology in a global land surface model

et al. 2021

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“…This contrast in ∆ 13 C R -GPP correlations between the temperate and boreal region mirrors a shift from a positive to a negative relationship between ∆ 13 C R and tree-ring width due to a change from water-limited to temperature-limited leaf physiology (Shestakova et al, 2019). These model-based isotope-GPP relationships are consistent with recent findings showing that tree-ring δ 18 O correlates with satellite-based NPP over large spatial scales, whereas ∆ 13 C has a more local and variable correlation with GPP (Belmecheri et al, 2014;Levesque et al, 2019;Tei et al, 2019).…”

Section: Simulated Relationship Between Isotopic Variability and Photsupporting

confidence: 88%

A triple tree-ring constraint for tree growth and physiology in a global land surface model

Barichivich¹,

Peylin²,

Launois³

et al. 2020

Preprint

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Abstract. Annually-resolved tree-ring records extending back to pre-industrial conditions have the potential to constrain the responses of global land surface models at interannual to centennial time scales. Here, we demonstrate a framework to constrain the representation of tree growth and physiology in the ORCHIDEE global land surface model using the simulated variability of tree-ring width and carbon (Δ13C) and oxygen (δ18O) stable isotopes in six sites in boreal and temperate Europe. We exploit the tree-ring triplet to derive integrative constraints for leaf physiology and growth from well-known mechanistic relationships among the variables. The model simulates Δ13C (r = 0.31–0.80) and δ18O (r = 0.36–0.74) better than tree-ring width (r

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“…Campioli et al 2016; Teets et al 2017; Xu et al 2017), but weakens considerably in the context of drought – many times due to dynamic C allocation away from radial growth (Rocha et al 2006; Mund et al 2010). Additionally, the linkages between tree rings and remotely sensed vegetation indexes can be tenuous (Gazol et al 2018; Seftigen et al 2018), especially when canopy cover is sparse (Smith et al 2019; Tei et al 2019). One recent study at a temperate broadleaf forest recovering from a severe drought did provide evidence that preferential C allocation away from the stem towards the canopy could result in reduced tree growth despite a rapid recovery of GPP (Kannenberg et al 2019c).…”

Section: Introductionmentioning

confidence: 99%

Ghosts of the past: how drought legacy effects shape forest functioning and carbon cycling

2020

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Multi-year lags in tree drought recovery, termed 'drought legacy effects', are important for understanding the impacts of drought on forest ecosystems, including carbon (C) cycle feedbacks to climate change. Despite the ubiquity of lags in drought recovery, large uncertainties remain regarding the mechanistic basis of legacy effects and their importance for the C cycle. In this review, we identify the approaches used to study legacy effects, from tree rings to whole forests. We then discuss key knowledge gaps pertaining to the causes of legacy effects, and how the various mechanisms that may contribute these lags in drought recovery could have contrasting implications for the C cycle. Furthermore, we conduct a novel data synthesis and find that legacy effects differ drastically in both size and length across the US depending on if they are identified in tree rings versus gross primary productivity. Finally, we highlight promising approaches for future research to improve our capacity to model legacy effects and predict their impact on forest health. We emphasise that a holistic view of legacy effectsfrom tissues to whole forestswill advance our understanding of legacy effects and stimulate efforts to investigate drought recovery via experimental, observational and modelling approaches.

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Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest

Cited by 26 publications

References 77 publications

A triple tree-ring constraint for tree growth and physiology in a global land surface model

A triple tree-ring constraint for tree growth and physiology in a global land surface model

A triple tree-ring constraint for tree growth and physiology in a global land surface model

Ghosts of the past: how drought legacy effects shape forest functioning and carbon cycling

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