No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set

Gut, Urs; Árvai, Mátyás; Bijak, Szymon; Camarero, J. Julio; Cedro, Anna; Cruz‐García, Roberto; Garamszegi, Balázs; Hacket‐Pain, Andrew; Hevia, Andrea; Huang, Weiwei; Isaac-Renton, Miriam; Kaczka, Ryszard J.; Kazimirović, Marko; Kędziora, Wojciech; Kern, Zoltán; Klisz, Marcin; Kolář, Tomáš; Körner, Michael; Kuznetsova, Veronica; Montwé, David; Petriţan, Any Mary; Petriţan, Ion Cătălin; Plavcová, Lenka; Rehschuh, Romy; Rocha, Eva; Rybníček, Michal; Sánchez‐Salguero, Raúl; Schröder, Jörg; Schwab, Niels; Stajić, Branko; Tomusiak, R.; Wilmking, Martin; Sass‐Klaassen, Ute; Buras, Allan

doi:10.1016/j.dendro.2019.125624

Cited by 21 publications

(17 citation statements)

References 28 publications

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“…To detect the climatic signal retained in these annual rings, the time series obtained can be selectively improved before being correlated with the climatic variables, through some statistical methods (Peters et al, 2015). This normalisation process is performed in order to remove variance not related to the climate, associated with factors such as the size or age of the tree or the difference between trees of the same population, homogenising the different growth rates (Gut et al, 2019; Peters et al, 2015). This type of improvement converts ring width/area measurements into relative indices that form standardised chronologies that represent growth variability for a given species and geographic area (Carrer, 2011; Yang et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Toro-Herrera

Pennacchi

Bôas

et al. 2021

Annals of Applied Biology

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The use of growth rings dimensional parameters has been an important tool for the understanding of growth, biomass allocation and climatic characterisation of forest species. However, its potential is unknown in perennial crops of socio‐economic importance, such as coffee. This work aimed to understand how the analysis of the growth rings can be used as a proxy to understand the climatic determinants of vegetative growth and biomass allocation in the different organs of coffee trees. The work was carried out in the southern region of Minas Gerais, Brazil. The structure of the growth rings of cross sections of the orthotropic stem of coffee trees (Coffea arabica L. cv. Arara) were analysed from 2011 to 2018, using standard dendrochronological techniques. Each year in that period was characterised climatically and by its bienniality. Pearson correlation statistical analysis was used for mapping the relation among annual radial growth rates of the trees and other assessed parameters as primary growth data, accumulated biomass and the climatic characteristics of the region on an annual and intra‐annual scale. During the study the water balance (conditioned by its components, Prec and ETo) and the maximum temperature were the main determinants of the characteristics of the formed ring and the plant biomass allocation. These growing characteristics were also influenced by the phenology that modulates the vegetative/reproductive growth cycles and in turn the biennial production cycles. The results show the potential of tree rings and dendrochronology as a tool that allows indirect, but long‐term, assessment of biomass allocation and growth in coffee trees.

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Section: Discussionmentioning

confidence: 99%

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Toro-Herrera

Pennacchi

Bôas

et al. 2021

Annals of Applied Biology

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“…One core per tree was extracted at breast height (1.3 m) using a Pressler borer (Haglof Company Group, Sweden) with a 5-mm inner diameter. To avoid the compression of the wood, the cores were sampled in the direction parallel to the slope [35]. After careful surface preparation to maximize the visibility of the tree rings, all core samples were measured using a VIAS TimeTable measuring system (SCIEM, Vienna, Austria) with a measuring length of 78 cm and a resolution of 1/100 mm).…”

Section: Tree Core Sampling Tree-ring Width and Stable Isotope Measurementmentioning

confidence: 99%

Stable Isotopes in Tree Rings of Pinus heldreichii Can Indicate Climate Variability over the Eastern Mediterranean Region

Lukač

Mikac

Urban

et al. 2021

Forests

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A long-term context is important for understanding past climatic variability. Although tree-ring widths (TRWs) are widely used as a proxy for reconstructing past climate, the use of annually-resolved values of δ13C and δ18O tree-ring stable isotopes (TRSIs) is increasing and may provide further valuable information. Here, we present a 487-year-long TRW chronology and 240-year-long TRSI chronology for Bosnian pine (Pinus heldreichii H. Christ) and compare them to each other. We demonstrate that both δ13C and δ18O values are better proxies for temperature, precipitation, and drought than TRW. The correlations between these climate parameters and TRSIs are strongest for the combined summer (JJA) period. The results of temporal and spatial field correlation indicate that TRSI chronologies are stable, reliable proxies for JJA precipitation reconstruction over the whole Balkan Peninsula and surrounding eastern Mediterranean region. However, the stability of the temperature signal of the both δ13C and δ18O chronologies declines after the 1950s. Our work supports the emerging evidence that TRSI data track climate variability more accurately than a conventional TRW approach and can be subsequently used for the reconstruction of past climate.

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“…Sarris et al 2007, Mazza and Manetti 2013, Bond-Lamberty et al 2014, Peltier et al 2018. The explanatory power of these approaches, however, still tends to be relatively poor, particularly considering the huge amount of tree-ring data available across species, elevations and continents (Zhao et al 2018), and the over-representation of trees that are highly sensitive to climate in available data sets (Nehrbass-Ahles et al 2014;Klesse et al 2018;Gut et al 2019). Any aspiring dendrochronologist may be surprised to find it can be challenging to detect strong correlations among tree-ring widths and any single climatic variable, and a number of methods have been developed for discovering these correlations (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…2018; Gut et al . 2019). Any aspiring dendrochronologist may be surprised to find it can be challenging to detect strong correlations among tree‐ring widths and any single climatic variable, and a number of methods have been developed for discovering these correlations (e.g.…”

Section: Introductionmentioning

confidence: 99%

Tree growth sensitivity to climate is temporally variable

Peltier

Ogle

2020

Ecology Letters

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Despite a long history of discussion of 'non-stationarity' in dendrochronology, researchers and modellers in diverse fields commonly rely on the implicit assumption that tree growth responds to climate drivers in the same way at any given time. Synthesising recent work on drought legacies and other climate-related phenomena, we show tree growth responses to climate are temporally variable, and that abrupt variability is commonly observed in response to diverse events. Thus, we put forth a 'growth-climate sensitivity' framework for understanding temporal variability (including non-stationarity) in the sensitivity of tree growth to climate. We argue that temporal variability is ubiquitous, illustrating limits to the ways in which tree growth is often conceptualised. We present two conceptual hypotheses (homoeostatic sensitivity and dynamic sensitivity) for how tree growth sensitivity to climate varies, and evaluate the evidence for each. In doing so, we hope to motivate increased investigation of the temporal variability in tree growth through innovative disturbance or drought experiments, particularly via the inclusion of recovery treatments. Focusing on growth-climate sensitivity and its temporal variability can improve prediction of the future states and functioning of trees under climate change, and has the potential to be incorporable into predictive dynamic vegetation models.

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No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set

Cited by 21 publications

References 28 publications

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Stable Isotopes in Tree Rings of Pinus heldreichii Can Indicate Climate Variability over the Eastern Mediterranean Region

Tree growth sensitivity to climate is temporally variable

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