Modeling patterns between drought and tree biomass growth from dendrochronological data: A multilevel approach

Lara, Wilson; Bravo, Felipe; Maguire, Douglas A.

doi:10.1016/j.agrformet.2013.04.017

Cited by 22 publications

(40 citation statements)

References 42 publications

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“…with mixed effects models) can be applied to increase the statistical power of the analysis (e.g. Kint et al, 2012;Lara et al, 2013). Such combined analyses are particularly powerful if sampling follows a standardized strategy (cf.…”

Section: Recommendations For Growth-trend Detectionmentioning

confidence: 99%

Detecting long‐term growth trends using tree rings: a critical evaluation of methods

Peters

Groenendijk

Vlam

et al. 2015

Global Change Biology

153

147

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Tree-ring analysis is often used to assess long-term trends in tree growth. A variety of growth-trend detection methods (GDMs) exist to disentangle age/size trends in growth from long-term growth changes. However, these detrending methods strongly differ in approach, with possible implications for their output. Here, we critically evaluate the consistency, sensitivity, reliability and accuracy of four most widely used GDMs: conservative detrending (CD) applies mathematical functions to correct for decreasing ring widths with age; basal area correction (BAC) transforms diameter into basal area growth; regional curve standardization (RCS) detrends individual tree-ring series using average age/size trends; and size class isolation (SCI) calculates growth trends within separate size classes. First, we evaluated whether these GDMs produce consistent results applied to an empirical tree-ring data set of Melia azedarach, a tropical tree species from Thailand. Three GDMs yielded similar results - a growth decline over time - but the widely used CD method did not detect any change. Second, we assessed the sensitivity (probability of correct growth-trend detection), reliability (100% minus probability of detecting false trends) and accuracy (whether the strength of imposed trends is correctly detected) of these GDMs, by applying them to simulated growth trajectories with different imposed trends: no trend, strong trends (-6% and +6% change per decade) and weak trends (-2%, +2%). All methods except CD, showed high sensitivity, reliability and accuracy to detect strong imposed trends. However, these were considerably lower in the weak or no-trend scenarios. BAC showed good sensitivity and accuracy, but low reliability, indicating uncertainty of trend detection using this method. Our study reveals that the choice of GDM influences results of growth-trend studies. We recommend applying multiple methods when analysing trends and encourage performing sensitivity and reliability analysis. Finally, we recommend SCI and RCS, as these methods showed highest reliability to detect long-term growth trends.

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Section: Recommendations For Growth-trend Detectionmentioning

confidence: 99%

Detecting long‐term growth trends using tree rings: a critical evaluation of methods

Peters

Groenendijk

Vlam

et al. 2015

Global Change Biology

153

147

View full text Add to dashboard Cite

show abstract

“…Recent work has proposed an alternative to the traditional treering analyses, namely the use of annual volume or biomass increments (also derived from tree-ring series; Bouriaud, Br eda, Dupouey, & Granier, 2005;Lara, Bravo, & Maguire, 2013;Foster et al, 2014) instead of ring widths. This approach produces time series in units typical of ecological studies, thus making them compatible with a large body of literature addressing forest productivity, particularly when expressed on a per-unit-area basis.…”

Section: Introductionmentioning

confidence: 99%

Quantifying climate–growth relationships at the stand level in a mature mixed‐species conifer forest

Teets

Fraver

Weiskittel

et al. 2018

Global Change Biology

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A range of environmental factors regulate tree growth; however, climate is generally thought to most strongly influence year-to-year variability in growth. Numerous dendrochronological (tree-ring) studies have identified climate factors that influence year-to-year variability in growth for given tree species and location. However, traditional dendrochronology methods have limitations that prevent them from adequately assessing stand-level (as opposed to species-level) growth. We argue that stand-level growth analyses provide a more meaningful assessment of forest response to climate fluctuations, as well as the management options that may be employed to sustain forest productivity. Working in a mature, mixed-species stand at the Howland Research Forest of central Maine, USA, we used two alternatives to traditional dendrochronological analyses by (1) selecting trees for coring using a stratified (by size and species), random sampling method that ensures a representative sample of the stand, and (2) converting ring widths to biomass increments, which once summed, produced a representation of stand-level growth, while maintaining species identities or canopy position if needed. We then tested the relative influence of seasonal climate variables on year-to-year variability in the biomass increment using generalized least squares regression, while accounting for temporal autocorrelation. Our results indicate that stand-level growth responded most strongly to previous summer and current spring climate variables, resulting from a combination of individualistic climate responses occurring at the species- and canopy-position level. Our climate models were better fit to stand-level biomass increment than to species-level or canopy-position summaries. The relative growth responses (i.e., percent change) predicted from the most influential climate variables indicate stand-level growth varies less from to year-to-year than species-level or canopy-position growth responses. By assessing stand-level growth response to climate, we provide an alternative perspective on climate-growth relationships of forests, improving our understanding of forest growth dynamics under a fluctuating climate.

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“…Mixing effects depend on stand development stage, stand density, and site conditions (Forrester, 2014), showing in some cases opposite patterns between the same mixed species (Amoroso and Turnblom, 2006;del Río et al, 2014;Pretzsch et al, 2010;Toïgo et al, 2015). In addition, both species have acquired specific sensitivity to drought in different Mediterranean environments (Lara et al, 2013), which may alter species interactions and complementarity relationships over time Pretzsch et al, 2013). Also it is relevant to note that, even though the stands had not been managed for about 10 years.…”

Section: Ecological Explanation Of the Mixing Effects On Productivitymentioning

confidence: 99%

Changes in structural heterogeneity and stand productivity by mixing Scots pine and Maritime pine

Riofrío

Rı́o

Pretzsch

et al. 2017

Forest Ecology and Management

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Mixed-species stands have been studied extensively due to their potentially superior productivity, multi-functionality benefits and high ecological value compared to pure stands. The higher structural heterogeneity in mixed stands that can emerge from species interactions could be linked to the relationship between species diversity and ecosystem functions. We tested whether changes in stand structure also occur in mixtures of species with similar traits and whether they explain over-yielding patterns. Based on research with 12 triplets of Scots pine (Pinus sylvestris L.) and Maritime pine (Pinus pinaster Ait.) in the northern Iberian Peninsula (Spain), we provide evidence that species mixing increased structural heterogeneity and may induce over-yielding in mixed-species stands compared to monospecific stands. In this mixture of two light-demanding species, we observed that (i) stand composition influenced the inter-specific crown allometric variation, (ii) structural heterogeneity in mixed stands was caused by both specie-specific traits and species interactions, and (iii) intraspecific and interspecific differences in both crown size plasticity and size-distribution differentiation were associated with the increased relative productivity of mixed stands. We detected that crown complementarity and vertical stratification in the canopy space is a crucial mechanism for enhancing ecosystem productivity in light-demanding species and could be related to light interception and light-use. This work improves our understanding of emerging properties in mixed stands and introduces considerations for properly scaling and tracing mixing effects at individual tree, size distribution and stand levels.

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Modeling patterns between drought and tree biomass growth from dendrochronological data: A multilevel approach

Cited by 22 publications

References 42 publications

Detecting long‐term growth trends using tree rings: a critical evaluation of methods

Detecting long‐term growth trends using tree rings: a critical evaluation of methods

Quantifying climate–growth relationships at the stand level in a mature mixed‐species conifer forest

Changes in structural heterogeneity and stand productivity by mixing Scots pine and Maritime pine

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