Climate change and the regulation of wood formation in trees by temperature

Begum, Shahanara; Kudo, Kayo; Rahman, Hasnat; Nakaba, Satoshi; Yamagishi, Yusuke; Nabeshima, Eri; Nugroho, Widyanto Dwi; Oribe, Yuichiro; Kitin, Peter; Jin, Hyun Seung; Funada, Ryo

doi:10.1007/s00468-017-1587-6

Cited by 81 publications

(73 citation statements)

References 81 publications

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“…without an influence of GPP) effects of temperature and precipitation already in spring suggested by the TPF-model (Table 2a) could be related to the first processes of wood formation. The positive influence of spring temperature may reflect the need for adequate heat to stimulate the onset of cambial activity (Deslauriers et al, 2008;Begum et al, 2018). The positive influence of precipitation could result from the high need for water to promote the division and expansion of cambium cells (Lebourgeois et al, 2005;Palacio et al, 2014).…”

Section: Control Of Wood Growth By Weather Conditions and Fruit Produmentioning

confidence: 99%

It is not just a ‘trade‐off’: indications for sink‐ and source‐limitation to vegetative and regenerative growth in an old‐growth beech forest

et al. 2020

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Summary Controls on tree growth are key issues in plant physiology. The hypothesis of our study was that the interannual variability of wood and fruit production are primarily controlled directly by weather conditions (sink limitation), while carbon assimilation (source limitation) plays a secondary role. We analyzed the interannual variability of weather conditions, gross primary productivity (GPP) and net primary productivity (NPP) of wood and fruits of an old‐growth, unmanaged Fagus sylvatica forest over 14 yr, including six mast years. In a multiple linear regression model, c. 71% of the annual variation in wood‐NPP could be explained by mean air temperature in May, precipitation from April to May (positive influence) and fruit‐NPP (negative influence). GPP of June to July solely explained c. 42% of the variation in wood‐NPP. Fruit‐NPP was positively related to summer precipitation 2 yr before (R2 = 0.85), and negatively to precipitation in May (R2 = 0.83) in the fruit years. GPP had no influence on fruit‐NPP. Our results suggest a complex system of sink and source limitations to tree growth driven by weather conditions and going beyond a simple carbon‐mediated ‘trade‐off’ between regenerative and vegetative growth.

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Section: Control Of Wood Growth By Weather Conditions and Fruit Produmentioning

confidence: 99%

It is not just a ‘trade‐off’: indications for sink‐ and source‐limitation to vegetative and regenerative growth in an old‐growth beech forest

et al. 2020

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“…We also note that the NPP LF , with its average contribution of 29.1% to the total NPP BM , is close to findings of Gough et al [22] which reported that >25% of net annual photosynthetic C assimilation occurred after growth had stopped in the autumn. Nevertheless, we are aware of the limitations of our approach due to the complexity of the NSC and wood formation dynamics [69,78,107]. Further development of used model is highly needed as the understanding and modelling of seasonal carbon allocation to the reserve pool is still being investigated [16,67,68].…”

Section: Comparison Of Biometric and Eddy Covariance Npp Estimatementioning

confidence: 99%

Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak (Quercus robur L.) Forest in Croatia during Ten Years

Anić

Sever

Alberti

et al. 2018

Forests

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We analysed 10 years (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017) of continuous eddy covariance (EC) CO 2 flux measurements of net ecosystem exchange (NEE) in a young pedunculate oak forest in Croatia. Measured NEE was gap-filled and partitioned into gross primary productivity (GPP) and ecosystem reparation (R ECO ) using the online tool by Max Planck Institute for Biogeochemistry in Jena, Germany. Annual NEE, GPP, and R ECO were correlated with main environmental drivers. Net primary productivity was estimated from EC (NPP EC ), as a sum of −NEE and R h obtained using a constant R h :R ECO ratio, and from independent periodic biometric measurements (NPP BM ). For comparing the NPP at the seasonal level, we propose a simple model that aimed at accounting for late-summer and autumn carbon storage in the non-structural carbohydrate pool. Over the study period, Jastrebarsko forest acted as a carbon sink, with an average (±std. dev.) annual NEE of −319 (±94) gC m −2 year −1 , GPP of 1594 (±109) gC m −2 year −1 , and R ECO of 1275 (±94) gC m −2 year −1 . Annual NEE showed high inter-annual variability and poor correlation with annual average global radiation, air temperature, and total precipitation, but significant (R 2 = 0.501, p = 0.02) correlation with the change in soil water content between May and September. Comparison of annual NPP EC and NPP BM showed a good overall agreement (R 2 = 0.463, p = 0.03), although in all years NPP BM was lower than NPP EC , with averages of 680 (±88) gC m −2 year −1 and 819 (±89) gC m −2 year −1 , respectively. Lower values of NPP BM indicate that fine roots and grasses contributions to NPP, which were not measured in the study period, could have an important contribution to the overall ecosystem NPP. At a seasonal level, two NPP estimates showed differences in their dynamic, but the application of the proposed model greatly improved the agreement in the second part of the growing season. Further research is needed on the respiration partitioning and mechanisms of carbon allocation. IntroductionCurrently global forests store approximately 30% of total anthropogenic CO 2 emissions [1], however, the potential of forests to act as a carbon sink in the future is uncertain due to possible saturation effect [2], or negative impact of changed environmental conditions on forest productivity [3]. The eddy covariance (EC) technique is a widely used, state-of-the-art method, and it has become a standard in the estimation and monitoring of high frequency (typically half-hourly) carbon and water fluxes within terrestrial ecosystems [4]. Long-term data series of net ecosystem carbon exchange (NEE) or net ecosystem productivity (NEP, NEP = −NEE), in combination with meteorological and biometric measurements, provide invaluable information on the response of forest ecosystem to environmental conditions and climate change [5][6][7][8].EC data are essential for calibration of process-based models like Biome-BGC and its variants [9,10] and they are also used for calibration and testi...

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“…In spring, cambial mother cells start dividing, producing new derivatives of phloem outward and xylem inward (Larson, ; Vaganov, Hughes, & Shashkin, ). As a base model for this cycle, several authors have proposed that, just as for buds, the spring resumption of cambium activity is the outcome of a two‐phase dormancy period (Begum et al, ; Begum, Nakaba, Yamagishi, Oribe, & Funada, ; Ford et al, ; Little & Bonga, ; Rensing & Samuels, ). According to this model, cambium activity is prevented by tree's internal factors (e.g., physiological state, signals) during the endo dormancy phase, while it resumes during the eco dormancy phase when the external conditions are favourable.…”

Section: Introductionmentioning

confidence: 99%

“…The main candidate for external conditions driving the resumption of cambium activity in temperate and boreal ecosystems is the spring temperature (as reviewed in Begum et al, 2018;Delpierre, Vitasse, et al, 2016;Larson, 1994). Field observation has shown that spring cambium resumption is usually delayed at high altitudes and latitudes as compared to low altitudes and latitudes (Jyske, Mäkinen, Kalliokoski, & Nöjd, 2014;Moser et al, 2010;Rossi et al, 2016Rossi et al, , 2008Rossi, Deslauriers, Anfodillo, & Carraro, 2007).…”

mentioning

confidence: 99%

Chilling and forcing temperatures interact to predict the onset of wood formation in Northern Hemisphere conifers

Delpierre

Lireux

Härtig

et al. 2019

Global Change Biology

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The phenology of wood formation is a critical process to consider for predicting how trees from the temperate and boreal zones may react to climate change. Compared to leaf phenology, however, the determinism of wood phenology is still poorly known. Here, we compared for the first time three alternative ecophysiological model classes (threshold models, heat‐sum models and chilling‐influenced heat‐sum models) and an empirical model in their ability to predict the starting date of xylem cell enlargement in spring, for four major Northern Hemisphere conifers (Larix decidua, Pinus sylvestris, Picea abies and Picea mariana). We fitted models with Bayesian inference to wood phenological data collected for 220 site‐years over Europe and Canada. The chilling‐influenced heat‐sum model received most support for all the four studied species, predicting validation data with a 7.7‐day error, which is within one day of the observed data resolution. We conclude that both chilling and forcing temperatures determine the onset of wood formation in Northern Hemisphere conifers. Importantly, the chilling‐influenced heat‐sum model showed virtually no spatial bias whichever the species, despite the large environmental gradients considered. This suggests that the spring onset of wood formation is far less affected by local adaptation than by environmentally driven plasticity. In a context of climate change, we therefore expect rising winter–spring temperature to exert ambivalent effects on the spring onset of wood formation, tending to hasten it through the accumulation of forcing temperature, but imposing a higher forcing temperature requirement through the lower accumulation of chilling.

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Climate change and the regulation of wood formation in trees by temperature

Cited by 81 publications

References 81 publications

It is not just a ‘trade‐off’: indications for sink‐ and source‐limitation to vegetative and regenerative growth in an old‐growth beech forest

It is not just a ‘trade‐off’: indications for sink‐ and source‐limitation to vegetative and regenerative growth in an old‐growth beech forest

Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak (Quercus robur L.) Forest in Croatia during Ten Years

Chilling and forcing temperatures interact to predict the onset of wood formation in Northern Hemisphere conifers

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