Assessing the effects of management on forest growth across France: insights from a new functional–structural model

Guillemot, Joannès; Delpierre, Nicolas; Vallet, Patrick; François, Christophe; Martin‐StPaul, Nicolas; Soudani, Kamel; Nicolas, Manuel; Badeau, Vincent; Dufrêne, Éric

doi:10.1093/aob/mcu059

Cited by 37 publications

(35 citation statements)

References 81 publications

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“…The values of the parameters that were not involved in the optimization procedure were based on Guillemot et al . () (Notes S1). The model was initialized using the aboveground standing biomass and the LAImax value observed at each site.…”

Section: Methodsmentioning

confidence: 99%

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Environmental control of carbon allocation matters for modelling forest growth

et al. 2016

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We aimed to evaluate the importance of modulations of within-tree carbon (C) allocation by water and low-temperature stress for the prediction of annual forest growth with a process-based model. A new C allocation scheme was implemented in the CASTANEA model that accounts for lagged and direct environmental controls of C allocation. Different approaches (static vs dynamic) to modelling C allocation were then compared in a model-data fusion procedure, using satellite-derived leaf production estimates and biometric measurements at c. 10 sites. The modelling of the environmental control of C allocation significantly improved the ability of CASTANEA to predict the spatial and year-to-year variability of aboveground forest growth along regional gradients. A significant effect of the previous year's water stress on the C allocation to leaves and wood was reported. Our results also are consistent with a prominent role of the environmental modulation of sink demand in the wood growth of the studied species. Data available at large scales can inform forest models about the processes driving annual and seasonal C allocation. Our results call for a greater consideration of C allocation drivers, especially sink-demand fluctuations, for the simulations of current and future forest productivity with process-based models.

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Section: Methodsmentioning

confidence: 99%

“…For this study, we relied on the CASTANEA process-based model (Dufrêne et al, 2005;Delpierre et al, 2012;Guillemot et al, 2014). CASTANEA simulates the water and carbon (C) budgets of an even-aged, monospecific stand.…”

Section: Modelling Of Carbon Allocationmentioning

confidence: 99%

Environmental control of carbon allocation matters for modelling forest growth

et al. 2016

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“…Thinning operation, which modulates stem density and stand vertical structure, can thus accelerate this stand acclimation and has been reported to improve tree resistance to drought stress (Misson et al 2003) and post-drought resilience (Martín-Benito et al 2008;Sohn et al 2013). Silviculture is therefore discussed as an important option to mitigate the negative impact of water deficit on forest (Guillemot et al 2014).…”

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confidence: 99%

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

Guillemot

Klein

Davi

et al. 2015

Annals of Forest Science

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“…Atmospheric deposition is another major factor causing various changes in the forest environment [4]. Forest productivity [5,6] and resilience to climate change [7,8] can be greatly influenced as well by silvicultural practices, particularly by thinnings. Finally, soil compaction, caused by harvesting equipment, is an additional "invisible" stress factor for both soil and forest systems [9].…”

Section: Introductionmentioning

confidence: 99%

Major Changes in Growth Rate and Growth Variability of Beech (Fagus sylvatica L.) Related to Soil Alteration and Climate Change in Belgium

Latte

Perin

Kint

et al. 2016

Forests

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Global change-particularly climate change, forest management, and atmospheric deposition-has significantly altered forest growing conditions in Europe. The influences of these changes on beech growth (Fagus sylvatica L.) were investigated for the past 80 years in Belgium, using non-linear mixed effects models on ring-width chronologies of 149 mature and dominant beech trees (87-186 years old). The effects of the developmental stage (i.e., increasing tree size) were filtered out in order to focus on time-dependent growth changes. Beech radial growth was divided into a low-frequency signal (=growth rate), mainly influenced by forest management and atmospheric deposition, and into a high-frequency variability («mean sensitivity), mainly influenced by climate change. Between 1930 and 2008, major long-term and time-dependent changes were highlighted. The beech growth rate has decreased by about 38% since the 1950-1960s, and growth variability has increased by about 45% since the 1970-1980s. Our results indicate that (1) before the 1980s, beech growth rate was not predominantly impacted by climate change but rather by soil alteration (i.e., soil compaction and/or nitrogen deposition); and (2) since the 1980s, climate change induced more frequent and intense yearly growth reductions that amplified the growth rate decrease. The highlighted changes were similar in the two ecoregions of Belgium, although more pronounced in the lowlands than in the uplands.

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Assessing the effects of management on forest growth across France: insights from a new functional–structural model

Cited by 37 publications

References 81 publications

Environmental control of carbon allocation matters for modelling forest growth

Environmental control of carbon allocation matters for modelling forest growth

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

Major Changes in Growth Rate and Growth Variability of Beech (Fagus sylvatica L.) Related to Soil Alteration and Climate Change in Belgium

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