Evidence of climate effects on the height-diameter relationships of tree species

Fortin, Mathieu; Couwenberghe, Rosalinde Van; Perez, Vincent; Piedallu, Christian

doi:10.1007/s13595-018-0784-9

Cited by 59 publications

(31 citation statements)

References 42 publications

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“…For the sake of generality, ForCEEPS relies on generic DBH–height relationships, although these relationships are known to change with tree age and tree density (Fortin et al., 2019; Trouvé et al., 2015). Improvements in this direction may be possible, even though calibrating this allometric parameter would require more detailed inventory data (Rasche et al., 2012), and may have a very limited effect on the model's results when compared to the effect of other parameters (see sensitivity analysis of the ForCLIM model by Huber et al., 2018 and Morin et al., 2011).…”

Section: Discussionmentioning

confidence: 99%

“…The whole NFI dataset was used for the parameterization to cover the largest range of conditions in which each species occurs. Although diameter–height relationships were shown to be affected by environmental conditions, for example, climate, tree social status and stand density (Fortin et al., 2019; Trouvé et al., 2015), these factors were not accounted for in the model. The rationale for this lies in our aim to keep the model structure as simple as possible to allow for an easy parameterization and use at large scale for a large number of species.…”

Section: Parameterization Validation and Sensitivity Analysismentioning

confidence: 99%

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Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change

et al. 2021

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Climate change impacts forest functioning and dynamics, and large uncertainties remain regarding the interactions between species composition, demographic processes and environmental drivers. There are few robust tools available to link these processes, which precludes accurate projections and recommendations for long‐term forest management. Forest gap models present a balance between complexity and generality and are widely used in predictive forest ecology. However, their relevance to tackle questions about the links between species composition, climate and forest functioning is unclear. In this regard, demonstrating the ability of gap models to predict the growth of forest stands at the annual parameterization scale resolution—representing a sensitive and integrated signal of tree functioning and mortality risk—appears as a fundamental step. In this study, we aimed at assessing the ability of a gap model to accurately predict forest growth in the short term and potential community composition in the long term, across a wide range of species and environmental conditions. To do so, we present the gap model ForCEEPS, calibrated using an original parameterization procedure for the main tree species in France. ForCEEPS was shown to satisfactorily predict forest annual growth (averaged over a few years) at the plot level from mountain to Mediterranean climates, regardless of the species. Such an accuracy was not gained at the cost of losing precision for long‐term predictions, as the model showed a strong ability to predict potential community compositions. The mechanistic relevance of ForCEEPS parameterization was explored by showing the congruence between the values of key model parameter and species functional traits. We further showed that accounting for the spatial configuration of crowns within forest stands, the effects of climatic constraints and the variability of shade tolerances in the species community are all crucial to better predict short‐term productivity with gap models. Synthesis. The dual ability of predicting short‐term functioning and long‐term community composition, as well as the balance between generality and realism (i.e. predicting accuracy) of the new generation of gap models may open great perspectives for the exploration of the biodiversity–ecosystem functioning relationships, species coexistence mechanisms and the impacts of climate change on forest ecosystems. A free Plain Language Summary can be found within the Supporting Information of this article.

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Section: Discussionmentioning

confidence: 99%

Section: Parameterization Validation and Sensitivity Analysismentioning

confidence: 99%

Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change

et al. 2021

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“…Therefore, the application of these models is restricted to the range of data as well as to the Northern Iberian Range, because species-mixing effects can vary among regions [33,34]. Climate-sensitive models could have broader applications for h-d relationships and tree growth functions [77,78]; however, analyzing climatic effects is beyond the scope of this study, both because of the narrow geographical amplitude of the triplet network and the relatively short growth series. However, further work is needed to test if the specific years and annual fluctuations in climatic variables might affect the basal area growth and the h-d relationships, or shift the effect of species-mixing on productivity and tree allometry.…”

Section: Implication For Tree-level Model In Mixed Standsmentioning

confidence: 99%

Species Mixing Effects on Height–Diameter and Basal Area Increment Models for Scots Pine and Maritime Pine

Riofrío

Rı́o

Maguire

et al. 2019

Forests

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Models that incorporate known species-mixing effects on tree growth are essential tools to properly design silvicultural guidelines for mixed-species stands. Here, we developed generalized height–diameter (h-d) and basal area growth models for mixed stands of two main forest species in Spain: Scots pine (Pinus sylvestris L.) and Maritime pine (Pinus pinaster Ait.). Mixed-effects models were fitted from plot measurement and tree rings data from 726 Scots pine and 693 Maritime pine trees from mixed and pure stands in the Northern Iberian Range in Spain, with the primary objective of representing interactions between the species where they are interspersed in mixtures of varying proportions. An independent dataset was used to test the performance of the h-d models against models previously fitted for monospecific stands of both species. Basal area increment models were evaluated using a 10-fold block cross-validation procedure. We found that species mixing had contrasting effects on the species in both models. In h-d models, the species-mixing proportion determined the effect of species interactions. Basal area growth models showed that interspecific competition was influential only for Maritime pine; however, these effects differed depending on the mode of competition. For Scots pine, tree growth was not restricted by interspecies competition. The combination of mixed-effect models and the inclusion of parameters expressing species-mixing enhanced estimates of tree height and basal area growth compared with the available models previously developed for pure stands. Although the species-mixing effects were successfully represented in the fitted models, additional model components for accurately simulating the stand dynamics of mixtures with Scots pine and Maritime pine and other species mixtures require similar model refinements. Upon the completion of analyses required for these model refinements, the degree of improvement in simulating growth in species mixtures, including the effects of different management options, can be evaluated.

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“…The responses of trunk and leaf traits to the climate variability have been well studied (Fortin et al, ; Iida et al, ; Niinemets, ; Ordoñez et al, ; Tingstad et al, ; Wright et al, ). For example, it was found that taller trees incline to occur at places with higher water availability (Tao et al, ) and show higher vulnerability to droughts (Bennett et al, ), while at a given latitude of temperate biomes, larger and thinner leaves are easier to be found in a wetter environment (Lusk et al, ; Wright et al, ).…”

Section: Introductionmentioning

confidence: 99%

Large‐Scale Geographical Variations and Climatic Controls on Crown Architecture Traits

Wang

et al. 2020

JGR Biogeosciences

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Crown architecture is a critical component for a tree to interact with the ambient environment and to compete with neighbors. However, little is known regarding how climate variability may shape crown architecture traits across large geographical extents and whether crown architecture traits have coordinated variations with trunk and leaf traits to climate gradients. Here we used Quercus mongolica trees as an example, used the cutting‐edge terrestrial laser scanning technique to accurately characterize their crown architecture traits, and explored their variabilities along with environmental variability across large climate gradients in northern China. Our results showed that there are significant spatial variations in trunk, crown, and leaf traits even for the same genetic group across large environmental gradients. Tree height and leaf size had tight covariations with precipitation (|R|> 0.8, p < 0.01). We also observed coordinated variations among crown architecture traits related to canopy shape (e.g., primary branch insertion angle, chord length ratio), trunk traits (e.g., tree height), leaf traits (e.g., specific leaf area), and climate variability, highlighting there are likely fundamental evolutionary strategies regulating these covariations. With a projected drier and hotter climate scenario in this region, our results further suggest trees are expected to transit from a “tree shape” to a “shrub shape,” with large ecological and ecophysiological impacts on this region.

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Evidence of climate effects on the height-diameter relationships of tree species

Cited by 59 publications

References 42 publications

Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change

Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change

Species Mixing Effects on Height–Diameter and Basal Area Increment Models for Scots Pine and Maritime Pine

Large‐Scale Geographical Variations and Climatic Controls on Crown Architecture Traits

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