5
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Finding common ground: Toward comparable indicators of adaptive capacity of tree species to a changing climate

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Adaptive capacity, one of the three determinants of vulnerability to climate change, is defined as the capacity of species to persist in their current location by coping with novel environmental conditions through acclimation and/or evolution. Although studies have identified indicators of adaptive capacity, few have assessed this capacity in a quantitative way that is comparable across tree species. Yet, such multispecies assessments are needed by forest management and conservation programs to refine vulnerability assessments and to guide the choice of adaptation measures. In this paper, we propose a framework to quantitatively evaluate five key components of tree adaptive capacity to climate change: individual adaptation through phenotypic plasticity, population phenotypic diversity as influenced by genetic diversity, genetic exchange within populations, genetic exchange between populations, and genetic exchange between species. For each component, we define the main mechanisms that underlie adaptive capacity and present associated metrics that can be used as indices. To illustrate the use of this framework, we evaluate the relative adaptive capacity of 26 northeastern North American tree species using values reported in the literature. Our results show adaptive capacity to be highly variable among species and between components of adaptive capacity, such that no one species ranks consistently across all components. On average, the conifer Picea glauca and the broadleaves Acer rubrum and A. saccharinum show the greatest adaptive capacity among the 26 species we documented, whereas the conifers Picea rubens and Thuja occidentalis, and the broadleaf Ostrya virginiana possess the lowest. We discuss limitations that arise when comparing adaptive capacity among species, including poor data availability and comparability issues in metrics derived from different methods or studies. The breadth of data required for such an assessment exemplifies the multidisciplinary nature of adaptive capacity and the necessity of continued cross‐collaboration to better anticipate the impacts of a changing climate.

          Abstract

          Adaptive capacity has yet to be assessed in a quantitative way that is comparable across tree species, precluding its widespread use in assessments of vulnerability to climate change. We propose a framework to quantitatively evaluate five key components of adaptive capacity: individual adaptation through phenotypic plasticity, population phenotypic diversity as influenced by genetic diversity, genetic exchange within populations, genetic exchange between populations, and genetic exchange between species. We discuss limitations and roadblocks of our approach, including inconsistency in data availability across species and comparability issues for metrics derived from different methods or studies.

          Related collections

          Most cited references133

          • Record: found
          • Abstract: found
          • Article: not found

          The worldwide leaf economics spectrum.

          Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE.

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Entropy and diversity

              Lou Jost (2006)
                Bookmark

                Author and article information

                Contributors
                sroyertardif@cerfo.qc.ca
                Isabelle.aubin@nrcan-rncan.gc.ca
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                02 September 2021
                October 2021
                : 11
                : 19 ( doiID: 10.1002/ece3.v11.19 )
                : 13081-13100
                Affiliations
                [ 1 ] Natural Resources Canada Canadian Forest Service Great Lakes Forestry Centre Sault Sainte Marie ON Canada
                [ 2 ] Centre d'enseignement et de recherche en foresterie de Sainte‐Foy inc. (CERFO) Québec QC Canada
                [ 3 ] Ministère des Forêts de la Faune et des Parcs du Québec Direction de la recherche forestière Québec QC Canada
                [ 4 ] Natural Resources Canada Canadian Forest Service Laurentian Forestry Centre Québec QC Canada
                [ 5 ] Centre for Forest Research Université du Québec à Montréal Montréal QC Canada
                Author notes
                [*] [* ] Correspondence

                Samuel Royer‐Tardif and Isabelle Aubin, Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste Marie, ON P6A 2E5, Canada.

                Emails: sroyertardif@ 123456cerfo.qc.ca ; Isabelle.aubin@ 123456nrcan-rncan.gc.ca

                Author information
                https://orcid.org/0000-0001-7809-6485
                https://orcid.org/0000-0002-0939-8196
                https://orcid.org/0000-0002-8798-5687
                https://orcid.org/0000-0001-8621-9801
                https://orcid.org/0000-0002-5953-1012
                Article
                ECE38024
                10.1002/ece3.8024
                8495821
                3601f1da-a835-4906-8520-ce98a289a786
                © 2021 Her Majesty the Queen in Right of Canada. Ecology and Evolution published by John Wiley & Sons Ltd. Reproduced with the permission of the Minister of Canadian Forest Service.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 November 2020
                : 26 July 2021
                Page count
                Figures: 7, Tables: 3, Pages: 20, Words: 15606
                Funding
                Funded by: Forest Change Initiative, Canadian Forest Service, Natural Resources Canada
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                October 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:07.10.2021

                Evolutionary Biology
                data comparability,functional traits,genetic differentiation,genetic diversity,genetic exchange,interspecific hybridization,phenotypic plasticity

                Comments

                Comment on this article