2018
DOI: 10.1186/s40663-018-0153-z
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Growth at the microscale: long term thinning effects on patterns and timing of intra-annual stem increment in radiata pine

Abstract: Background: Stem radial growth in forests is not uniform. Rather, it is characterized by periods of relatively fast or slow growth, or sometimes no growth at all. These fluctuations are generally a function of varying environmental conditions (e.g. water availability) and, importantly, will also be associated with adjustments in properties in the wood formed. Stand level conditions and forest management, particularly thinning and stand density will, however, also have a major influence on patterns of growth va… Show more

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Cited by 6 publications
(7 citation statements)
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“…Days with growth were also not homogenously distributed, but occurred mainly during the first part of the growth period (April/May–June), explaining the stronger impact of spring compared to summer droughts on tree growth (Bose et al, 2021 ; Martin‐Benito et al, 2018 ). Although, discontinuity and irregularity of stem growth processes have been discussed since long (Kozlowski & Pallardy, 1996 ), general assumptions in annual tree growth models (Fatichi et al, 2019 ; Peltier & Ogle, 2020 ) or yield studies (Drew & Downes, 2018 ) often imply linear growth responses to environmental conditions. However, days with growth appeared quite irregularly and could on average only be predicted by environmental conditions in 45% of cases (27% to 68%, Table S4 ), confirming the non‐linearity of growth processes not only on an annual scale (Wilmking et al, 2020 ), but also on shorter time‐scales (Peltier & Ogle, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
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“…Days with growth were also not homogenously distributed, but occurred mainly during the first part of the growth period (April/May–June), explaining the stronger impact of spring compared to summer droughts on tree growth (Bose et al, 2021 ; Martin‐Benito et al, 2018 ). Although, discontinuity and irregularity of stem growth processes have been discussed since long (Kozlowski & Pallardy, 1996 ), general assumptions in annual tree growth models (Fatichi et al, 2019 ; Peltier & Ogle, 2020 ) or yield studies (Drew & Downes, 2018 ) often imply linear growth responses to environmental conditions. However, days with growth appeared quite irregularly and could on average only be predicted by environmental conditions in 45% of cases (27% to 68%, Table S4 ), confirming the non‐linearity of growth processes not only on an annual scale (Wilmking et al, 2020 ), but also on shorter time‐scales (Peltier & Ogle, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…On shorter time scales, however, cambial activity is non‐linear (Peltier & Ogle, 2020 ; Zweifel et al, 2021b ) and highly discontinuous. This intermittent growth can result from unfavourable environmental conditions including droughts and tree water deficits (Cabon et al, 2020b ; Peters et al, 2020 ; Zweifel et al, 2016 ), internal tree processes related to phenology or resource allocation (Devine & Harrington, 2009 ), or involve responses to competition (Drew & Downes, 2018 ) or pathogens (Schuldt et al, 2017 ). However, such intra‐annual variations are not well understood, because analyses of fine‐resolution intra‐annual stem growth dynamics across species, sites and years are scarce (Forrest & Miller‐Rushing, 2010 ).…”
Section: Introductionmentioning
confidence: 99%
“…We assumed a uniform uncertainty of ±10 days for the day of tracheid formation and a uniform DBH measurement accuracy of ±1%. We estimated a date for each tracheid cell and δ13C‐increment using the Gompertz growth model (Rossi et al., 2003), which is widely used for dating xylem growth in conifers, including Pinus radiata (Drew & Downes, 2018) y=Aexp[e(βkt)], which we solved for the time of cell formation ( t ) t=βln[ln(A+1/y)]k, where y is the cumulative number of cells, A is the asymptotic maximum number of cells, β is a location parameter, k is a rate change parameter (1/ t ), and t is time in days starting on June 1 ( t = t 1 ). To avoid infinite values, we fixed the upper asymptote at A + 1 (Rossi et al., 2003).…”
Section: Methodsmentioning
confidence: 99%
“…Those secondary oscillations are typically episodes of reduced or interrupted radial growth. They may be observed during unfavourable environmental conditions such as drought-rain alternance (Larson 2012) or deficit in tree water storage (Zweifel et al 2016), in relation to competition status (Drew and Downes 2018), phenology (Morel et al 2015), or an internal redirection of resources during secondary flushes (Devine and Harrington 2009) or towards reproductive growth. Those sub-seasonal oscillations have been the subject of very few studies, but they indicate that cambial activity may be semi-discrete in time.…”
Section: Introductionmentioning
confidence: 99%