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			<titleStmt><title level='a'>Correcting tree-ring δ13C time series for tree-size effects in eight temperate tree species</title></titleStmt>
			<publicationStmt>
				<publisher></publisher>
				<date>01/24/2020</date>
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				<bibl> 
					<idno type="par_id">10202752</idno>
					<idno type="doi">10.1093/treephys/tpz138</idno>
					<title level='j'>Tree Physiology</title>
<idno>1758-4469</idno>
<biblScope unit="volume">40</biblScope>
<biblScope unit="issue">3</biblScope>					

					<author>Matthew A Vadeboncoeur</author><author>Katie A Jennings</author><author>Andrew P Ouimette</author><author>Heidi Asbjornsen</author><author>Lucas Cernusak</author>
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			<abstract><ab><![CDATA[Abstract            Stable carbon isotope ratios (δ13C) in tree rings have been widely used to study changes in intrinsic water-use efficiency (iWUE), sometimes with limited consideration of how C-isotope discrimination is affected by tree height and canopy position. Our goals were to quantify the relationships between tree size or tree microenvironment and wood δ13C for eight functionally diverse temperate tree species in northern New England and to better understand the physical and physiological mechanisms underlying these differences. We collected short increment cores in closed-canopy stands and analyzed δ13C in the most recent 5years of growth. We also sampled saplings in both shaded and sun-exposed environments. In closed-canopy stands, we found strong tree-size effects on δ13C, with 3.7–7.2‰ of difference explained by linear regression vs height (0.11–0.28‰ m−1), which in some cases is substantially stronger than the effect reported in previous studies. However, open-grown saplings were often isotopically more similar to large codominant trees than to shade-grown saplings, indicating that light exposure contributes more to the physiological and isotopic differences between small and large trees than does height. We found that in closed-canopy forests, δ13C correlations with diameter at breast height were nonlinear but also strong, allowing a straightforward procedure to correct tree- or stand-scale δ13C-based iWUE chronologies for changing tree size. We demonstrate how to use such data to correct and interpret multi-decadal composite isotope chronologies in both shade-regenerated and open-grown tree cohorts, and we highlight the importance of understanding site history when interpreting δ13C time series.]]></ab></abstract>
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<div xmlns="http://www.tei-c.org/ns/1.0"><head>Introduction</head><p>Stable carbon isotope ratios (&#948; 13 C; Coplen 2011) in tree rings (or any plant tissue; &#948; 13 C p ) have been widely used to estimate intrinsic water-use efficiency (iWUE), defined as the ratio of photosynthesis to stomatal conductance <ref type="bibr">(McCarroll and Loader 2004</ref>). These measurements are potentially of great importance for physiologists interested in how the fundamental balance between transpiration and photosynthesis may be shifting due to a variety of global-change factors, ranging from changes in climate <ref type="bibr">(L&#233;vesque et al. 2014</ref><ref type="bibr">, Zhang et al. 2018</ref>) to acid deposition <ref type="bibr">(Thomas et al. 2013)</ref>. Such measurements can also be helpful in identifying water stress in managed forests <ref type="bibr">(Fischer and du Toit 2019)</ref>. However, the driver of changing iWUE that has received the most attention <ref type="bibr">(Franks et al. 2013</ref><ref type="bibr">, Babst et al. 2014</ref><ref type="bibr">, Frank et al. 2015</ref><ref type="bibr">, Schubert and Jahren 2015)</ref> has been the dramatic increase in the atmospheric concentration of CO 2 (c a ) from 280 p.p.m. to &gt;400 p.p.m. since the mid-18th century <ref type="bibr">(Keeling et al. 1989</ref><ref type="bibr">(Keeling et al. , 2017))</ref>, due to theoretical expectations of a strong but likely nonlinear effect of c a on water-use efficiency <ref type="bibr">(McCarroll et al. 2009</ref><ref type="bibr">, Frank et al. 2015</ref><ref type="bibr">, Voelker et al. 2016)</ref>. Large and sustained increases in water-use efficiency would likely have important consequences for primary production, ecosystem water balance and surface energy balances, all of which represent large potential feedbacks to the global climate system <ref type="bibr">(Bonan 2008)</ref>.</p><p>Tree-ring studies of iWUE have sometimes been undertaken without correcting for the potential isotopic effects of tree growth, though often a tree's earliest years of growth are excluded from analysis, due to well-documented 'juvenile effects'. This term refers to factors that depress iWUE in young trees relative to canopy trees due to differences between canopy and subcanopy conditions, as well as increasing hydraulic resistance with height. This isotopic juvenile period has been found to last from &lt;15 years in Quercus <ref type="bibr">(Raffalli-Delerce et al. 2004)</ref> to perhaps centuries in temperate rainforest conifers <ref type="bibr">(Stuiver et al. 1984)</ref>, but for most species estimates range from 20 to 50 years <ref type="bibr">(Loader et al. 2007</ref><ref type="bibr">, Gagen et al. 2008</ref><ref type="bibr">, Leavitt 2010)</ref>. If the net effect of changing tree size and canopy position on &#948; 13 C p are substantial and not accounted for, it would complicate the ability to infer changes in iWUE at the stand scale from isotopic time series of individual trees. Failure to account for such effects could also lead to a misattribution of age-driven iWUE trends to drivers such as CO 2 or climate.</p><p>There are several distinct mechanisms by which the iWUE of trees can vary with height and canopy position, generally leading to more 13 C-depleted signatures in understory trees relative to the canopy trees on the same site. These mechanisms include reduced light below the canopy, which reduces rates of photosynthesis relative to the top of the canopy, increasing CO 2 concentrations inside the leaf (c i ) and therefore reducing discrimination against the assimilation of 13 C <ref type="bibr">(Francey and Farquhar 1982)</ref>. Meanwhile, greater humidity and lower radiational heating in the subcanopy limit the rate of transpiration and the need for understory trees to downregulate stomatal conductance. These effects interact with the lower photosynthetic capacity of shade leaves relative to sun-exposed leaves <ref type="bibr">(Boardman 1977, Ellsworth and</ref><ref type="bibr">Reich 1993)</ref> and the greater thickness and lower mesophyll conductance of sun leaves, which should reduce the effective average c i <ref type="bibr">(Schleser and Jayasekera 1985)</ref>.</p><p>The subcanopy environment can also introduce isotopic effects not related to water-use efficiency, including those driven by below-canopy gradients of c a and the stable C isotope signature of atmospheric CO 2 (&#948; 13 C a ) due to the mixing of the free atmosphere with CO 2 produced by soil respiration <ref type="bibr">(Schleser and</ref><ref type="bibr">Jayasekera 1985, Buchmann et al. 2002)</ref>. Using free-atmosphere values of &#948; 13 C a and c a (as opposed to sitespecific below-canopy values, which are rarely measured) may therefore bias calculations of iWUE in understory trees. Another effect that can bias the calculation of iWUE from &#948; 13 C p is the refixation of 13 C-depleted respired CO 2 in photosynthetic bark tissues, which should also disproportionately affect young trees with thin bark <ref type="bibr">(Cernusak et al. 2001)</ref>.</p><p>Independent of effects mediated by the subcanopy microenvironment, changes in height can also have a direct effect on iWUE due to the increased effect of gravity and hydraulic path resistance on xylem water potential with height <ref type="bibr">(Koch et al. 2004, Coble and</ref><ref type="bibr">Cavaleri 2015)</ref>. It has even been proposed that hydraulic limitation is a key mechanism limiting tree height and net primary productivity (NPP) as trees grow, though the importance of this limitation likely varies widely across species and climates <ref type="bibr">(Ryan and</ref><ref type="bibr">Yoder 1997, Ryan et al. 2006)</ref>. In contrast, in species where rooting depth continues to increase as trees grow upward through the canopy, larger trees may have access to more reliable water than do juvenile understory trees <ref type="bibr">(Dawson 1996</ref><ref type="bibr">, Ivanov et al. 2012</ref><ref type="bibr">, Brum et al. 2019)</ref>, which could mitigate or even reverse the effect of tree size on iWUE under dry conditions.</p><p>Of the effects discussed above, only the direct effect of height and the increase in rooting depth with growth necessarily change over the lifetimes of the first cohort of trees to colonize an open environment, such as abandoned agricultural land, clear-cuts or burned forests. In contrast, in terms of light, humidity, c a and &#948; 13 C a , this early-successional cohort effectively spends its entire life in dominant or codominant positions under full sunlight and exposed to the free atmosphere, reducing the possible position-driven changes in iWUE and &#948; 13 C p with growth. Trees in stands with more open canopy structure, including savannas and woodlands, or stands thinned by land managers, likely also see less dramatic changes in canopy position-driven iWUE over their lifetimes than trees that regenerate in the shade of a dense canopy.</p><p>In contrast to strictly 'juvenile' effects that are typically thought to be isolated to a tree's earliest few decades of development, <ref type="bibr">Brienen et al. (2017)</ref> showed that, in three deciduous angiosperm species, the effect of tree size on iWUE is fairly linear throughout much of a tree's life (or at least over a century) and corresponds more directly with height and diameter at breast height (DBH) than with age. This makes simple juvenileperiod rules-of-thumb suspect, at least when applied outside systems where such effects have been quantified. If these findings apply widely, some reported observations of changes in iWUE in both modern and paleo-tree-ring records (e.g., see reviews by <ref type="bibr">Pe&#241;uelas et al. 2011</ref><ref type="bibr">, Franks et al. 2013</ref><ref type="bibr">, Voelker et al. 2016</ref>) may be overstated or misinterpreted.</p><p>In order to design effective global-change studies and accurately interpret tree-ring &#948; 13 C p time series, researchers require information about the various physical and physiological mechanisms by which iWUE and &#948; 13 C p change as a tree grows. A concerted effort is necessary to determine whether published data about the effect of tree size on &#948; 13 C p are representative of various taxonomic and functional groups of forest trees, as well as different forest stand structures. This study is aimed at better understanding these processes in closed-canopy forests in a humid temperate climate. Our specific questions were: Q1. How does the &#948; 13 C of tree-ring &#945;-cellulose vary with height, canopy position and DBH, across eight functionally diverse temperate tree species sampled in multiple stands?</p><p>Tree Physiology Volume 40, 2020</p><p>To what extent do the mechanisms discussed above each contribute to changes in both iWUE and &#948; 13 C p as trees grow? Q3. Does removing the isotopic effect of tree growth change the interpretation of multi-decadal composite isotope chronologies?</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Materials and methods</head></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Study design</head><p>While many dendro-isotopic studies focus primarily on the largest and oldest trees (e.g., <ref type="bibr">Gigu&#232;re-Croteau et al. 2019</ref>), this approach is not always feasible or advisable when the goal is to characterize changes in regions heavily dominated by secondary forests, such as the northeastern USA. Understanding the role of tree physiological responses in long-term hydrological change (e.g., <ref type="bibr">Vadeboncoeur et al. 2018</ref>) requires representative and scalable estimates of growth and iWUE. So-called 'juvenile effects' in tree-ring isotopes have typically been detected and quantified by comparing complete tree-ring &#948; 13 C p time series from trees of different ages <ref type="bibr">(Loader et al. 2007</ref><ref type="bibr">, Gagen et al. 2008)</ref>, though a few studies have examined recent tree-ring &#948; 13 C p among co-occurring trees of different sizes in which height, DBH and canopy position are directly measured (e.g., <ref type="bibr">Leavitt 2010</ref><ref type="bibr">, Brienen et al. 2017)</ref>. To effectively isolate the effects of tree size and micro-environment on tree physiology from responses to changing climate, c a and other global-change factors such as acid deposition, our study takes this latter space-for-time approach and is ultimately aimed at understanding how to size-correct tree-ring iWUE chronologies from closed-canopy, secondary forests in the northeastern USA.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Sampling for &#948; 13 C p</head><p>Tree core samples were collected in 2017-18 from eight common northeastern US tree species that have at least intermediate shade tolerance <ref type="bibr">(Burns and Honkala 1990)</ref> and can be found in closed-canopy understories (in approximate order of increasing shade tolerance and dominance in late-successional forests): Fraxinus americana L., Pinus strobus L., Quercus rubra L., Acer rubrum L., Acer saccharum Marshall, Picea rubens Sarg., Fagus grandifolia Ehrh. and Tsuga canadensis (L.) Carri&#232;re. Each species was sampled in two to four stands in New Hampshire and Vermont. Additional sampling effort was allocated to P. rubens and A. saccharum, which have received particular attention regarding to their sensitivity to climate change and acid deposition <ref type="bibr">(Hamburg and Cogbill 1988</ref><ref type="bibr">, Lane et al. 1993</ref><ref type="bibr">, Vadeboncoeur et al. 2012</ref><ref type="bibr">, Bishop et al. 2015</ref><ref type="bibr">, Kosiba et al. 2018</ref><ref type="bibr">, Mathias and Thomas 2018)</ref>.</p><p>Sampled stands (Table <ref type="table">S1</ref> available as Supplementary Data at Tree Physiology Online) were all secondary forests that regenerated naturally after agricultural abandonment, timber harvest, or fire. All were closed-canopy, mixed-species stands with no record or evidence of stand-scale disturbance in the past 30 years. Across these sites, mean annual temperature ranges from 4 to 9 &#8226; C, and mean annual precipitation ranges from 1160 to 1340 mm. To reduce variation in iWUE unrelated to tree size, we took care to sample in flat or mid-slope positions, avoiding high-moisture microsites near streams or in depressions, as well as drier microsites with especially rocky or shallow soil.</p><p>Our sampling methods were adapted from those of <ref type="bibr">Brienen et al. (2017)</ref>. Across the full range of tree sizes in each stand, we sampled trees of representative canopy position, health and vigor for their size. Trees with evidence of a substantial change in canopy position in the previous 5 years (i.e., loss or dieback of the leader or a major limb on the target tree or a neighboring tree) were not sampled. Samples were sometimes collected within and adjacent to small natural canopy gaps, but we avoided sampling near forest edges and large gaps. Wood samples were collected with a 4.3-mm-diameter increment borer, to a depth of at most 5 cm into the sapwood (the smallest trees were sampled as shallowly as 5 mm). One sample was collected per tree. Core samples were taken at &#8764;30-cm height to minimize the effects of sampling on the timber value of larger trees and the hydraulic function of smaller trees; we do not expect the height of sampling on the bole to systematically affect wood &#948; 13 C p <ref type="bibr">(Leavitt 2010)</ref>. Height, DBH and canopy position (using the crown illumination classes of <ref type="bibr">Clark and Clark 1992)</ref> were recorded for each sampled tree. The height of each sampled tree was measured from at least two vantage points using a Hagl&#246;f Vertex IV hypsometer.</p><p>Where available, saplings (defined here as any tree &lt;4 cm DBH but at least 5 years old) were also included in the analysis, by collecting 5-year-old twig segments from the upper, middle and lower third of the crown. Twig segments were aged by counting terminal bud scars back from a live distal bud. Bark was removed before drying, and lengths proportional to the total 2013 growth of each twig segment were composited for processing.</p><p>For most species, additional twig samples were taken opportunistically from saplings growing near one or more of our study stands, on similar soils but in fully illuminated conditions (in recent clear-cuts, utility rights-of-way and clearings around meteorological stations). These samples are intended to help separate the direct effect of absolute size (i.e., hydraulic resistance as affected by height) from those of relative canopy position and to better represent the initial growth conditions of trees that regenerated following canopy-removing disturbance rather than in the shade of an intact closed canopy. A small number of young saplings were also sampled in a recent stripcut partial harvest at the Jones site, to provide data on saplings in an intermediate light environment with no canopy directly overhead, but with nearby trees &gt;20 m tall providing shade for much of the day regardless.</p><p>Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref> After air-drying samples, growth rings from 2013 to 2017 were identified, measured on a sliding-stage micrometer, and separated from the bark and older wood for isotopic analysis. We analyzed whole rings for all species, due to the difficulty of precisely dividing rings into earlywood and latewood in slowly growing understory trees. Samples were extracted to &#945;cellulose using a Jayme-Wise procedure adapted from <ref type="bibr">Leavitt and Danzer (1993)</ref> by <ref type="bibr">Gregg and Brooks (2003)</ref>. Homogenized samples were analyzed for &#948; 13 C on an Isoprime IRMS at the University of New Hampshire Instrumentation Center. Median &#948; 13 C precision of 15 samples analyzed in duplicate was 0.03 (maximum 0.23 ), which reflects both the analytic precision of the mass spectrometer and the degree of sample homogenization.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Calculation of 13 C discrimination and iWUE</head><p>Tree-ring &#948; 13 C p measurements can be used to estimate iWUE, defined as the ratio of photosynthesis to stomatal conductance, and calculated as:</p><p>where &#948; 13 C a is the C isotope ratio of the atmosphere, &#948; 13 C p is the measured isotope ratio of the plant tissue, a is diffusive fractionation against 13 CO 2 = 4.4 , b is fractionation against carboxylation of 13 CO 2 by RuBisCO = 27 and 1.6 is the ratio of diffusion rates of water vapor to CO 2 <ref type="bibr">(Farquhar et al. 1982, McCarroll and</ref><ref type="bibr">Loader 2004</ref>). An alternative metric <ref type="bibr">(Farquhar et al. 1982)</ref>, which does not explicitly consider c a , is 13 C discrimination ( ) relative to the atmosphere:</p><p>(2)</p><p>which relates linearly to the ratio of concentrations of intracellular CO 2 (c i ) in the leaf to atmospheric CO 2 (c a ) <ref type="bibr">(Farquhar et al. 1989</ref>):</p><p>We calculated and iWUE (without attempting to account for post-photosynthetic C fractionation) for each sample using Eqs (1) and ( <ref type="formula">2</ref>), and assuming that c a = 401 p.p.m. and &#948; 13 C a = -8.44 , the mean values observed at Mauna Loa during in 2015 <ref type="bibr">(Keeling et al. 2017</ref><ref type="bibr">, Scripps CO 2 Program 2019)</ref>. Data on height, DBH, canopy position, &#948; 13 C p , and iWUE for all samples have been archived at <ref type="url">https://doi.org/10. 6073/pasta/de0c8b529b7c2b986eb36d0287397065</ref>.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Quanitfying tree size-&#948; 13 C p relationships</head><p>We fit linear regression models to describe the relationship between &#948; 13 C p and height. Separate models were fitted for trees sampled in closed-canopy stands, vs all trees with crown illumination scores of 4 or 5 including open-grown saplings. For each species, the ratio of the slope of the open-regeneration height model to that of the shade regeneration height model was used as a metric of the importance of the various effects of canopy position (light, vapor pressure deficit (VPD), c a , &#948; 13 C a ) vs the direct effect of height on &#948; 13 C p .</p><p>Because crown illumination indices are ordinal data, we analyzed the effect of relative canopy position using a Kendall test, expressing the strength of the correlation using Kendall's &#964; statistic and the magnitude of the effect using the Sen slope.</p><p>Our model-fitting procedure for DBH emphasizes the mechanistic differences between codominant and shaded understory and mid-canopy trees, as well as the need to produce a continuous model that can easily be applied to the calculated DBH of each sampled tree at each year of the isotope record. First, we fit a linear regression describing &#948; 13 C p as a function of DBH, using only the dominant and codominant trees (crown classes 4-5) from closed-canopy stands. Where the slope of this regression was non-significant and negative, we instead modeled this relationship with a slope of zero, because overall relationships with size, when they exist, tend to be positive (Figures <ref type="figure">1</ref> and<ref type="figure">2</ref>; <ref type="bibr">McDowell et al. 2011</ref><ref type="bibr">, Brienen et al. 2017)</ref>. Next, we fit a similar regression using only the subcanopy trees (crown classes 1-3). Regression slopes for the subcanopy trees were always significant and positive. These models intersected at a DBH in the range of the smaller codominant trees we sampled. Together, these two models form a segmented linear model describing the expected &#948; 13 C p of all trees in a closedcanopy forest, or alternatively the expected &#948; 13 C p of a tree as it grows from the understory into the canopy, hereafter the 'closed-canopy model'.</p><p>Finally, we calculated a line joining the mean DBH and mean &#948; 13 C p of the open-grown saplings with the breakpoint of the closed-canopy model, to create an 'open-regeneration' model. Combining this line with the codominant segment of the closedcanopy model describes the expected &#948; 13 C p of a tree as it grows after regenerating in the open.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Correcting composite chronologies for changing tree size</head><p>We used three recently collected and previously unpublished composite &#948; 13 C p chronologies to demonstrate a simple procedure for applying isotopic corrections to remove the effect of tree growth (and therefore create a corrected record in which variation is presumably driven by the effects of climate or other abiotic factors). Sample collection and generation of the example chronologies (P. strobus and Q. rubra/Q. velutina at Thompson Farm, plus P. rubens at Cone Pond) are described in Supplemental Methods available as Supplementary Data at Tree Physiology Online. Our correction procedure makes use of the DBH models described above, because DBH is the tree-size parameter that can be directly reconstructed from ring-width chronologies.</p><p>Tree Physiology Volume 40, 2020  Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref>   </p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Tree Physiology Volume 40, 2020</head><p>To calculate a weighted isotope correction for each year of the three composite isotope time series, we used ring width (R) as a proxy for the contribution of each tree to each year's composite sample. This approach assumes that variation in latewood density, latewood ratio and % &#945;-cellulose among trees (within a year) are small relative to variation in total ring width. This fractional mass contribution (F) to the composite was estimated as:</p><p>This step is not applicable to correcting single-tree chronologies (i.e., F = 1; skip to Eq. ( <ref type="formula">5</ref>)).</p><p>The isotopic correction (A) for each tree-year was calculated using a model (M) describing &#948; 13 C p as a function of DBH in a given species. We calculated the difference between modeled &#948; 13 C p at the tree's current size and the tree's size in each previous year. This correction effectively adjusts the measured isotope value for each year in the past to the size of the tree at the time of sampling:</p><p>For each year in a composite chronology, the weighted mean of tree correction factors can be calculated as:</p><p>This correction offset value is then added to each annual value in the raw &#948; 13 C p composite chronology to arrive at a corrected &#948; 13 C p composite chronology. In cases where it is unclear which model of &#948; 13 C p as a function of tree size is most appropriate for the history of the sampled trees, multiple models can be applied to illustrate upper and lower constraints for corrected or iWUE.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Vertical gradients in c a and &#948; 13 C a</head><p>To better understand the role that below-canopy vertical gradients in c a and &#948; 13 C a play in the observed differences between large and small trees within closed-canopy forest stands, we took advantage of a network of micrometeorological towers recently installed by NEON <ref type="bibr">(Keller et al. 2008)</ref>. Though not all sites are as yet fully operational, there are several in eastern US forests where substantial data were collected in 2018.</p><p>Each tower collects data on &#948; 13 C a and c a at six heights, including one above the canopy. We used data from June to August 2018 to compare three eastern US forest sites: Bartlett Experimental Forest (Bartlett, NH; BART) and Harvard Forest, (Petersham, MA; HARV), which are closed-canopy, hardwooddominated, New England forests similar in structure to those studied here, and (for contrast) Ordway-Swisher Biological Station (near Gainesville, FL; OSBS), a restored Pinus palustris savanna with a substantially more open canopy. For each 30-min time interval we calculated the difference between mean c a and &#948; 13 C a at each height with that observed at the top of the tower. Because many of these time series showed clear diurnal patterns, we calculated the mean from 10:00 to 15:00 EDT to represent the vertical profile during periods when the canopy is most photosynthetically active. At HARV and OSBS, where &#948; 13 C a observations were usually asynchronous across the height profile, we estimated &#948; 13 C a at the top of the tower as the mean of the preceding and subsequent time intervals. The mean absolute difference between pairs of above-tower observations used for this interpolation was 0.20 at HARV and 0.36 at OSBS.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Results and discussion</head><p>How does &#948; 13 C of tree-ring &#945;-cellulose vary with height, canopy position and diameter?</p><p>Our observations of &#948; 13 C of wood &#945;-cellulose (&#948; 13 C p ) from eight tree species across nine forest stands in New Hampshire and Vermont ranged from -33.4 to -21.9 , covering most of the range that has been observed globally for C3 plant tissue <ref type="bibr">(Kohn 2010)</ref>. Within each species, &#948; 13 C p varied by as little as 4.3 in P. strobus to as much as 9.8 in F. grandifolia.</p><p>The variability is largely explained by tree size (expressed either as height or DBH) and by canopy position (Figures <ref type="figure">1</ref><ref type="figure">2</ref><ref type="figure">3</ref>, Tables <ref type="table">1</ref><ref type="table">2</ref><ref type="table">3</ref>), which correlates strongly with size in closedcanopy stands.</p><p>Variation with height Among trees in closed-canopy stands, the relationship between height and &#948; 13 C p was fairly linear for all species (Figure <ref type="figure">1</ref>), with regression slopes ranging from 0.11 m -1 in P. strobus to as much as 0.28 m -1 in A. rubrum (Figure <ref type="figure">1</ref>, Table <ref type="table">1</ref>). On average, the slope of these regressions was 0.21 m -1 . Height regressions explained 3.7-7.2 of &#948; 13 C p difference across the height range examined for each species (Figure <ref type="figure">1</ref>, Table <ref type="table">1</ref>). These closed-canopy tree-height effects on &#948; 13 C p are large compared with those reported from previous studies. Wood &#948; 13 C p data reviewed by <ref type="bibr">McDowell et al. (2011)</ref> showed height effects averaging 0.07 m -1 for angiosperms and 0.03 m -1 for conifers, though reviewed foliar &#948; 13 C p relationships with height varied more widely. These regression lines are also plotted in Figure <ref type="figure">1</ref> for comparison with each of our height regressions; they are sometimes similar in slope to our openregeneration lines but are always shallower than our shaderegeneration lines, perhaps in some cases reflecting a lesser degree of shading in the trees sampled previously. <ref type="bibr">Brienen et al. (2017)</ref>, also sampling shaded understory trees along with codominants, found quite consistent height effects of 0.16-0.18 m -1 in the wood of three angiosperm species (consis-Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref>   tent with the wider range we observed), while Pinus sylvestris (a shade-intolerant species) had a height effect of approximately zero. <ref type="bibr">Monserud and Marshall (2001)</ref>, working with three conifer species, report much smaller height effects ranging only up to 0.04 m -1 but emphasize that their sampling procedure minimized the influence of shading. The fairly large isotopic effects of tree size that we observed point to a strong combined role of tree size and canopy position on the physiology of all studied species when growing below the forest canopy and imply that tree-size effects should be carefully considered or corrected for when interpreting tree-ring &#948; 13 C p data, at least in forests similar to those that we studied.</p><p>Variation with canopy position Canopy position as quantified using the crown illumination index also showed strong linear relationships with &#948; 13 C p (Figure <ref type="figure">2</ref>, Table <ref type="table">2</ref>) across all trees sampled for each species (including the open-grown saplings sampled, which by definition had indices of 4 or 5). This pattern stands in contrast to the fact that opengrown saplings were outliers with regard to the relationship between height and &#948; 13 C p . Sen slopes across numerical indices ranging from 1 to 5 ranged from 0.68 (P. strobus) to 1.75 (F. grandifoila) per crown class, and averaged 1.26 (Table <ref type="table">2</ref>).</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Variation with diameter</head><p>In stands with a fairly closed and multi-layered canopy, DBH correlates strongly, if nonlinearly, with both height and the relative position of a tree within the canopy. Among canopy codominant trees, there was only a significant relationship between &#948; 13 C p and DBH in two species (F. americana and T. canadensis; Table <ref type="table">3</ref>). These regression slopes averaged 0.02 cm -1 (after setting negative slopes to zero) and the maximum slope was 0.04 cm -1 (F. americana). In all cases, the slope of the regression for forest subcanopy trees greatly exceeded that of the canopy trees, averaging 0.21 cm -1 and ranging from 0.08 (P. strobus) to 0.24 (P. rubens).</p><p>The segmented models relating DBH to &#948; 13 C p (Figure <ref type="figure">3</ref>, Table <ref type="table">3</ref>) emphasize apparent mechanistic differences in the physiological and isotopic consequences of tree growth before vs after reaching a codominant canopy position. While these models are not to be interpreted as demonstrating a direct mechanistic link between diameter and physiology, they are nevertheless potentially useful. Because DBH is the tree-size parameter that can be directly reconstructed from ring-width chronologies, modeling the relationships between DBH and &#948; 13 C p provides a straightforward way of correcting for tree growth, at least in species and sites with strong correlations between DBH, height and light exposure.</p><p>Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref>  The role of species vs site factors The apparent greater importance of species than of site in driving the magnitude of isotopic differences between canopy dominants and understory saplings indicates the important role played by species differences in the plasticity and ontogeny of photosynthetic and hydraulic traits (Cavender-Bares and Bazzaz 2000, <ref type="bibr">Rozendaal et al. 2006</ref><ref type="bibr">, Anderegg 2015)</ref>, as well as differences in C partitioning and transport <ref type="bibr">(Gessler et al. 2014</ref><ref type="bibr">, B&#246;gelein et al. 2019</ref>) in mediating the effect of tree growth on &#948; 13 C p in closed-canopy forests. For example, plasticity in the maximum photosynthetic rate (A max ) between shaded and sun-exposed leaves would affect the degree to which c i , and therefore, 13 C discrimination can be affected by stomatal regulation, while xylem anatomy, rooting depth and plasticity of hydraulic safety margins and the ratio of sapwood area to leaf area will affect within-tree gradients in water potential and the degree of stomatal closure <ref type="bibr">(Leavitt 2010</ref><ref type="bibr">, McDowell et al. 2011)</ref>.</p><p>Of course, soil characteristics affecting water availability (soil depth, texture, organic content, porosity and slope position) must also play a role in determining the potential for water stress and therefore stomatal closure, iWUE and &#948; 13 C p . While most of our sampling avoided extremes of wet or dry soils, this effect is illustrated in our data by two saplings (one P. rubens and one T. canadensis) sampled at the Cone Pond site, which are plotted as asterisk symbols in Figures <ref type="figure">1</ref> and<ref type="figure">3</ref> and not included in the regression analyses. These saplings, which were growing in bedrock crevices and surrounded by open ledge, each plot as less 13 C depleted than others of similar size, as would be expected if stomatal conductance is reduced (and iWUE increases) with water limitation.</p><p>Because our main questions were about the effects of species and tree size, we sampled across stands with wide range of tree sizes, generally on well-drained soils (Table <ref type="table">S2</ref> available as Supplementary Data at Tree Physiology Online), and in stands with high degree of canopy closure. Across these sites, the pattern of &#948; 13 C p with tree size and canopy position was quite consistent within a species (Figures <ref type="figure">1</ref><ref type="figure">2</ref><ref type="figure">3</ref>), implying that generating site-specific correction curves for isotopic time series derived from tree rings might not always be necessary if the species is well characterized and the stand is similar to those for that such curves have been developed.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>How do various mechanisms contribute to changes in iWUE and &#948; 13 C p as trees grow?</head><p>A variety of physiological and physical mechanisms have been proposed to explain observed differences in &#948; 13 C p across trees of different size classes and canopy positions (Table <ref type="table">4</ref>). Most of these effects are a consequence of gradients within the canopy, though importantly, the direct effect of tree height via hydraulic resistance should operate independent of canopy position. Our data from open-grown saplings can therefore constrain the Tree Physiology Volume 40, 2020 importance of this direct height effect relative to the others, while data from NEON towers allows us to quantify relevant subcanopy carbon gradients.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>The direct effect of tree size vs canopy position on &#948; 13 C p</head><p>The open-grown saplings we sampled tended to be isotopically more similar to large canopy codominant trees of the same species than to understory saplings (Figure <ref type="figure">4a</ref>). These open-grown saplings, when compared with similarly sized trees growing under closed-canopy conditions, as well as with large codominant forest trees, allowed an assessment of the relative importance of a tree's relative canopy position vs its absolute height in influencing &#948; 13 C p . In contrast to closed-canopy regression slopes averaging 0.21 m -1 , slopes for regressions including only sun-exposed trees and saplings were much smaller and often not significantly different from zero, ranging from a slightly (though non-significantly) negative slope in A. saccharum to 0.08 m -1 in P. rubens, and averaging 0.04 m -1 (Table <ref type="table">1</ref>).</p><p>We expressed the importance of this direct effect of increasing hydraulic resistance and gravitational loss of water potential with height as the ratio of the slope of the height regression for open-regenerating trees (in which presumably only the direct effect of height is operating) to that of trees regenerating under a closed canopy (in which the effect of height is combined with those of the subcanopy microenvironment). This ratio ranged from 0% in A. saccharum to 40% in P. rubens (Table <ref type="table">1</ref>, Figure <ref type="figure">4b</ref>). The highest two ratios we observed (in P. rubens and P. strobus) were both in conifers, despite the substantial functional and isotopic (Figures <ref type="figure">1</ref><ref type="figure">2</ref><ref type="figure">3</ref>) differences between the two species. This may indicate that, relative to canopy position, the direct effect of size is of greater proportional importance in conifers than in angiosperm tree species. It is also worth noting that conifers are heavily represented in literature on the hydraulic limitation hypothesis <ref type="bibr">(Ryan et al. 2006</ref>) and on &#948; 13 C p variation with tree height <ref type="bibr">(McDowell et al. 2011)</ref>.</p><p>The importance of light (as well as other below-canopy gradients) as a determinant of &#948; 13 C p has long been recognized <ref type="bibr">(Francey and Farquhar 1982</ref><ref type="bibr">, Ehleringer et al. 1986</ref><ref type="bibr">, Berry et al. 1997</ref><ref type="bibr">, Brooks et al. 1997)</ref> with the effect attributed to the strong light limitation of photosynthetic rates (even relative to shade leaves' lower maximum photosynthetic rates), which keeps c i from ever reaching values as low as it does under light-saturated conditions at the top of the canopy. Our data bear this out, with strong correlations seen between the crown illumination index and &#948; 13 C p for all eight sample species (Figure <ref type="figure">2</ref>; these correlations include open-grown saplings that could meaningfully be assigned a crown illumination score). The data from saplings collected from the partial harvest (i.e., living under a partially opened canopy; gray x symbols in Figures <ref type="figure">1</ref> and<ref type="figure">3</ref>) also support the important role of canopy position, as they are isotopically intermediate between saplings of similar size growing in either full sun or under a closed canopy. We interpret isotopic differences beyond those directly attributable to height as being primarily driven by high c i in shaded understory and mid-canopy trees, relative to fully sunexposed trees (Table <ref type="table">4</ref>).</p><p>The contribution of below-canopy carbon gradients At the two northeastern, closed-canopy forest sites within the NEON network, we found a vertical gradient of increasingly depleted ambient &#948; 13 C a and elevated CO 2 concentrations from above the canopy to near ground level (Figure <ref type="figure">5</ref>), likely due to incomplete mixing of the atmosphere down to the ground surface, where soil respiration represents a substantial source <ref type="bibr">(Gaudinski et al. 2000</ref><ref type="bibr">, Ouimette et al. 2018</ref>) of 13 C-depleted CO 2 . The NEON data show that these effects can be substantial within 5 m of the ground in closed-canopy forests (BART and HARV). Also noteworthy is that the vertical gradients at these two sites were larger than in the temperate forest data reviewed by <ref type="bibr">Brienen et al. (2017)</ref>, though generally consistent with those Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref>   observed by <ref type="bibr">Lai et al. (2005)</ref>, also in northeastern forests. Moreover, careful examination of Figures <ref type="figure">1</ref> and<ref type="figure">3</ref> shows that the smallest trees we sampled (smaller than about 5-cm DBH or 5m height), frequently fall well below the regression line (i.e., are 1-2 more depleted than would be expected from the trend observed in intermediate trees), consistent with the depletion in &#948; 13 C a observed at these heights (Figure <ref type="figure">5a</ref>). However, growth years represented by these small saplings, which were included in our analysis for the sake of completeness in assessing mechanisms, would normally be excluded from isotopic analysis using juvenile-period rules-of-thumb. We observed little if any isotopic difference from the free atmosphere above 5 m in the closed-canopy stands. In the more open stand at OSBS, we observed little systematic difference from the free atmosphere at any height.</p><p>The effect of vertical gradients in c a on &#948; 13 C p depends in part on the physiology and hydraulic strategy of the trees that are predominantly photosynthesizing at heights below 5 m. One might expect that, in densely shaded understory conditions, where photosynthesis rates are slow and evaporative demand is low, there is little potential for a C fertilization effect on iWUE. However, we can illustrate the degree to which isotopic estimates of c i /c a and iWUE are affected by using a freeatmosphere c a value in place of a more realistic subcanopy c a value. For example, at a height of 2.8 m, mid-day c a averages 42 p.p.m. above free-atmosphere values at the Bartlett tower. This &#8764;10% excess in c a would translate to underestimation of iWUE by &#8764;10% if the free-atmosphere c a is used in place of the actual ambient c a (Eqs (1-3)). Based on the patterns seen in Figure <ref type="figure">5</ref>, this 10% value represents an approximate upper bound for this effect, again for trees of a size that are rarely included in isotopic chronologies.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Does removing the isotopic effect of tree growth change the interpretation of multi-decadal composite isotope chronologies?</head><p>The data collected for this study allowed us to generate segmented regression models relating &#948; 13 C p to DBH for a given species, and under open or shaded regeneration conditions (Figure <ref type="figure">3</ref>, Table <ref type="table">3</ref>), which can be used to remove the effect of tree growth from tree-ring &#948; 13 C time series prior to the calculation of iWUE chronologies that can then be related to climatic and atmospheric data.</p><p>To demonstrate the application of &#948; 13 C p corrections to composite isotope chronologies, we selected three previously unpublished chronologies (Supplemental Methods and Table <ref type="table">S3</ref> available as Supplementary Data at Tree Physiology Online) encompassing a variety of functional groups as well as varying stand histories. Due to species differences in the DBH-&#948; 13 C p models, as well as known differences in the initial growth conditions within each study stand, the corrections we applied to the three example chronologies varied substantially in magnitude (Figure <ref type="figure">6</ref>; note that positive corrections to &#948; 13 C p translate to negative corrections to of almost equal magnitude; see Eq. (2)). For example, in 1950, the &#948; 13 C p correction for shaderegenerated P. rubens at Cone Pond was +1.16 , while for open-grown Pinus strobus at Thompson Farm, the correction was only +0.42 (+10.0 and + 3.6 &#956;mol/mol -1 respectively, in terms of iWUE; Figure <ref type="figure">S1</ref> available as Supplementary Data at Tree Physiology Online). Moreover, the P. strobus correction is quite small throughout most of the chronology, only exceeding 0.1 before 1962, and does not alter the conclusion that this time series has no long-term trend in (Figure <ref type="figure">6b</ref>). For P. rubens, the correction reduces the magnitude of the apparent decline in (i.e., increase in iWUE) prior to about 1990 but does not affect the reversal of this trend (similar to that seen by <ref type="bibr">Mathias and Thomas (2018)</ref> in more southern P. rubens) after that date (Figure <ref type="figure">6a</ref>). In contrast, for P. strobus, the correction has no appreciable effect on the interpretation of changing or iWUE (Figure <ref type="figure">6</ref>, S1 available as Supplementary Data at Tree Physiology Online).</p><p>At Thompson Farm, the P. strobus cohort is older than the Quercus cohort (Table <ref type="table">S3</ref> available as Supplementary Data at Tree Physiology Online), and P. strobus tree rings show a release in the 1950s, while most of the Quercus sampled seem to have germinated shortly after this event. Interpreting this as a stand-thinning partial harvest, we therefore show both the opengrown correction as well as the closed-canopy correction for Q. rubra in Figure <ref type="figure">6</ref>, recognizing that the true needed correction is intermediate between these two options. The mean of these two corrections (partial-open correction in Figure <ref type="figure">6</ref>) is consistent with saplings sampled in the thinned stand at the Jones site Tree Physiology Online at <ref type="url">http://www.treephys.oxfordjournals.org</ref>  (Figure <ref type="figure">3g</ref>). For 1976, the earliest year of this chronology, the closed-canopy correction is +2.15 (due to the small average size of the sampled trees at this date; Table <ref type="table">S3</ref> available as Supplementary Data at Tree Physiology Online), while the open-regeneration correction is only +0.31 . In this case, the partial-open correction changes the interpretation of this 40year chronology from approximately stable and increasing iWUE (including any growth effects on iWUE), to increasing and stable iWUE (after removing growth effects). This finding is consistent with that found by <ref type="bibr">Marshall and Monserud (1996)</ref> in western conifers (i.e., apparent changes in iWUE were not present after correcting for height).</p><p>There are a variety of other model-fitting procedures that could be reasonably applied to describe the non-linear relationship between DBH, depending on the assumptions made and the variable of interest. For illustrative purposes, we chose a method that is easily interpreted, and which lends itself to be applied as a correction based directly on DBH. The magnitude of the required correction is well constrained by the data, however.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Recommendations for applying corrections to chronologies</head><p>When applying tree-size corrections to &#948; 13 C p chronologies, our data show that it is important to understand the regeneration conditions of the stand. For highly shade-intolerant species, one can assume regeneration in at least partially open conditions, but most long-lived species that are of interest to dendrochronology, especially in closed-canopy mesic forests, have some degree of shade tolerance, as do all of the species studied here. At some sites, stand management and disturbance history might be documented or easily reconstructed from aerial photographs. In other cases, the ring-width chronologies themselves offer important clues, including the establishment dates of various cohorts, growth rates through the sapling stage and the timing of release events <ref type="bibr">(Pederson et al. 2014)</ref>. This is illustrated by the Thompson Farm stand that followed a common post-agricultural successional and management trajectory seen across much of the northeast <ref type="bibr">(Foster et al. 2008</ref><ref type="bibr">, Vadeboncoeur et al. 2012)</ref>. Using such data appropriately to select a tree-size correction (if any) is critical to correctly interpret long-term time series of , and particularly when iWUE or c i /c a , are to be scaled to infer quantitative fluxes of water and carbon between forests and the atmosphere. Correlations of or iWUE with climatic data might also be improved after correcting for tree-size effects, though the value of the 'juvenile' (i.e., shaded) life stage in such analyses is debatable <ref type="bibr">(Arneth et al. 2002</ref><ref type="bibr">, Leavitt 2010)</ref> and should be carefully considered given the study system and question at hand.</p><p>Our data suggest that some species (e.g., P. strobus) require smaller corrections than other species (e.g., F. grandifolia), even when the sampled trees originated in a shaded understory. Focusing on species in which successful regeneration predominantly occurs in large gaps or following a stand-resetting disturbance (e.g., P. strobus, F. americana) rather than those that are highly shade-tolerant (e.g., T. canadensis, F. grandifolia, A. saccharum, P. rubens) may sometimes be an appropriate strategy. In fact, it is worth noting that, without management or natural disturbance to the canopy, the understory cohorts of moderately shade-intolerant species such as P. strobus and F. americana that we sampled are unlikely to survive to maturity. <ref type="bibr">Brienen et al. (2017)</ref> found that tree-size effects on &#948; 13 C p were smaller in P. sylvestris than in the angiosperm species Tree Physiology Volume 40, 2020 they examined, which is fortunate given the importance of this species in global-change studies of (e.g., <ref type="bibr">Gagen et al. 2008)</ref>. Whether this finding applies to other Pinus species remains to be seen, though it is encouraging to consider that P. strobus and P. sylvestris represent separate subgenera within Pinus (see also <ref type="bibr">Monserud and Marshall 2001)</ref>. However, the speculation by <ref type="bibr">Brienen et al. (2017)</ref> that conifers might show less change in with size than angiosperms (see also <ref type="bibr">McDowell et al. 2011</ref>) is not supported by our data from P. rubens and T. canadensis (Table <ref type="table">1</ref>, Figure <ref type="figure">1</ref>), which are extremely shade-tolerant and slow-growing relative to most Pinus species and can persist for many decades as saplings under dense, year-round shade.</p><p>It is important to emphasize that, regardless of whether any correction is applied, the high-frequency variation in &#948; 13 C p remains meaningful over sufficiently short time periods that canopy position and height can be assumed to be constant. Additionally, corrections for growth may not be needed when studying the effects of experimental manipulations in which treated and control trees are well paired (e.g., <ref type="bibr">Guerrieri et al. 2011</ref><ref type="bibr">, Jennings et al. 2016</ref>). In longer-term studies, it would be wise to either correct &#948; 13 C p for the effect of changing tree size as demonstrated here (Figure <ref type="figure">6</ref>) or to verify that the study species, in the context of what is known about stand history, is insensitive to such tree-size effects (e.g., <ref type="bibr">Leavitt 2010</ref><ref type="bibr">, Brienen et al. 2017</ref>).</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Summary and conclusions</head><p>Across eight temperate tree species representing a variety of life history and physiological strategies, we found strong relationships between wood &#948; 13 C and tree size and microenvironment, with as much as 7 of difference between codominant trees and co-occurring saplings of the same species (study Q1). These differences have important consequences for interpreting trends in multi-decadal time series of iWUE derived from &#948; 13 C p in tree rings. Light gradients are likely the dominant factor affecting iWUE and &#948; 13 C p as trees grow in forests similar to those we studied (Q2). Comparing young saplings growing in open conditions with those under closed canopies showed that the direct effect of height (i.e., via increasing resistance of the hydraulic pathway) accounted for a relatively small fraction of the total variation in &#948; 13 C p , averaging 20%. This hydraulically mediated relationship between height and &#948; 13 C p was generally in line with height effects reported previously. Subcanopy gradients in c a and &#948; 13 C a only have the potential to substantially bias iWUE estimates in the seedling and early sapling stages, which are easily and routinely excluded from tree-ring &#948; 13 C studies. Species differed substantially in the magnitude of &#948; 13 C p differences across trees of different sizes, and the mechanisms responsible for this variation deserve further investigation. The modest effects of site imply that site-specific characterization of this relationship might not always be necessary.</p><p>We presented a straightforward methodology that can be used to correct individual trees or multiple-tree composite chronologies in species where DBH is a reasonable (if nonlinear) proxy for height and canopy position. As such, applying &#948; 13 C p corrections derived from closed-canopy stands would be inappropriate if applied to trees known to have regenerated in full-sunlight conditions. The interpretation of our Quercus isotopic chronology changed substantially (from increasing iWUE to stable iWUE) after correcting for changes in tree height and canopy position over 40 years, while correction for tree growth reduced the inferred increases in iWUE in the P. rubens example, and hardly at all in P. strobus example (Q3). Future studies are needed to expand the diversity of species for which size-&#948; 13 C relationships are quantified and to better disentangle the various mechanisms driving these relationships.</p></div><note xmlns="http://www.tei-c.org/ns/1.0" place="foot" xml:id="foot_0"><p>&#169; The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com Downloaded from https://academic.oup.com/treephys/article/40/3/333/5715048 by University of New Hampshire user on 23 November 2020</p></note>
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