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      Contrasting Climate Sensitivity of Pinus cembra Tree-Ring Traits in the Carpathians

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          Abstract

          High-elevation ecosystems are one of the most sensitive to climate change. The analysis of growth and xylem structure of trees from marginal populations, especially the ones growing at the treeline, could provide early-warning signs to better understand species-specific responses to future climate conditions. In this study, we combined classical dendrochronology with wood density and anatomical measurements to investigate the climate sensitivity of Pinus cembra L., a typical European high-elevation tree species distributed in isolated patches in the Carpathians. Samples were collected from the Retezat Mountains, South-Western Romania. We analyzed ring width (TRW), maximum density (MXD), xylem anatomical traits [cell number per ring (CNo), cell density (CD), conduit area (CA), and cell wall thickness (CWT)] time series, split into ring sectors and assessed the relationships with monthly and daily climate records over the last century (1901–2015). The analysis showed a strong dependency of TRW on CNo and MXD on CWT. Summer temperature positively correlated with MXD and CWT [monthly correlation ( r) were 0.65 and 0.48 respectively] from the early to late wood but not TRW ( r = 0.22). CA positively correlated with water availability ( r = 0.37) and negatively correlated with temperature ( r = −0.39). This study improves our general understanding of the climate–growth relationships of a European high-elevation tree species and the results could be considered for forecasting population dynamics on projected changes in climate.

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          Towards a worldwide wood economics spectrum.

          Wood performs several essential functions in plants, including mechanically supporting aboveground tissue, storing water and other resources, and transporting sap. Woody tissues are likely to face physiological, structural and defensive trade-offs. How a plant optimizes among these competing functions can have major ecological implications, which have been under-appreciated by ecologists compared to the focus they have given to leaf function. To draw together our current understanding of wood function, we identify and collate data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry. We then show how wood traits are related to one another, highlighting functional trade-offs, and to ecological and demographic plant features (growth form, growth rate, latitude, ecological setting). We suggest that, similar to the manifold that tree species leaf traits cluster around the 'leaf economics spectrum', a similar 'wood economics spectrum' may be defined. We then discuss the biogeography, evolution and biogeochemistry of the spectrum, and conclude by pointing out the major gaps in our current knowledge of wood functional traits.
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            Conserving biodiversity under climate change: the rear edge matters.

            Modern climate change is producing poleward range shifts of numerous taxa, communities and ecosystems worldwide. The response of species to changing environments is likely to be determined largely by population responses at range margins. In contrast to the expanding edge, the low-latitude limit (rear edge) of species ranges remains understudied, and the critical importance of rear edge populations as long-term stores of species' genetic diversity and foci of speciation has been little acknowledged. We review recent findings from the fossil record, phylogeography and ecology to illustrate that rear edge populations are often disproportionately important for the survival and evolution of biota. Their ecological features, dynamics and conservation requirements differ from those of populations in other parts of the range, and some commonly recommended conservation practices might therefore be of little use or even counterproductive for rear edge populations.
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              Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

              CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901–2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                09 June 2022
                2022
                : 13
                : 855003
                Affiliations
                [1] 1Forest Biometrics Laboratory, Faculty of Forestry, ‘Stefan cel Mare’ University of Suceava , Suceava, Romania
                [2] 2Department of Land Environment Agriculture and Forestry, University of Padova , Legnaro, Italy
                [3] 3Department of Biology, Aarhus University , Aarhus, Denmark
                Author notes

                Edited by: Dario Martin-Benito, Centro de Investigación Forestal (INIA), Spain

                Reviewed by: Irina P. Panyushkina, University of Arizona, United States; Jan Tumajer, University of Greifswald, Germany

                *Correspondence: Cătălin-Constantin Roibu, catalinroibu@ 123456usm.ro

                This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.855003
                9228034
                5a1cfb6a-ffc1-402f-af3f-8807f5b95be2
                Copyright © 2022 Știrbu, Roibu, Carrer, Mursa, Unterholzner and Prendin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 January 2022
                : 22 April 2022
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 103, Pages: 11, Words: 8558
                Funding
                Funded by: Marie Sklodowska-Curie
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                dendroanatomy,functional traits,inter–intra-annual climate–structure relationships,stone pine,treeline,climatic divergence

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