Literature DB >> 14967649

Modeling climate change effects with provenance test data.

Csaba Matyas1.   

Abstract

Provenance tests of forest trees, which were originally intended to identify suitable seed sources for planting at different locations, provide valuable data for assessing the response of populations to environmental change. Environmental differences between the location of origin and the planting (test) site have been calculated by principal component analysis and termed ecological distance. Based on ecological distance values, the growth response of tree populations can be modeled as a function of the test site macroclimate. These models can then be used to predict the effects of climatic change on growth and survival. The growth response model predicts that increasing annual mean temperatures will result in accelerated growth if precipitation is sufficient, but only within the limits characteristic of the species. At the southern limits of distribution, growth and competitive ability of the species will decline, leading to successional changes.

Year:  1994        PMID: 14967649     DOI: 10.1093/treephys/14.7-8-9.797

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  15 in total

1.  Adaptive and plastic responses of Quercus petraea populations to climate across Europe.

Authors:  Cuauhtémoc Sáenz-Romero; Jean-Baptiste Lamy; Alexis Ducousso; Brigitte Musch; François Ehrenmann; Sylvain Delzon; Stephen Cavers; Władysław Chałupka; Said Dağdaş; Jon Kehlet Hansen; Steve J Lee; Mirko Liesebach; Hans-Martin Rau; Achilleas Psomas; Volker Schneck; Wilfried Steiner; Niklaus E Zimmermann; Antoine Kremer
Journal:  Glob Chang Biol       Date:  2017-01-25       Impact factor: 10.863

2.  Survival and growth patterns of white spruce (Picea glauca [Moench] Voss) rangewide provenances and their implications for climate change adaptation.

Authors:  Pengxin Lu; William H Parker; Marilyn Cherry; Steve Colombo; William C Parker; Rongzhou Man; Ngaire Roubal
Journal:  Ecol Evol       Date:  2014-05-13       Impact factor: 2.912

Review 3.  Time to get moving: assisted gene flow of forest trees.

Authors:  Sally N Aitken; Jordan B Bemmels
Journal:  Evol Appl       Date:  2015-08-24       Impact factor: 5.183

4.  Varying selection differential throughout the climatic range of Norway spruce in Central Europe.

Authors:  Stefan Kapeller; Ulf Dieckmann; Silvio Schueler
Journal:  Evol Appl       Date:  2016-10-23       Impact factor: 5.183

5.  Leaf N and P stoichiometry in relation to leaf shape and plant size for Quercus acutissima provenances across China.

Authors:  Hui Zhang; Xiuqing Yang; Jingyuan Wang; G Geoff Wang; Mukui Yu; Tonggui Wu
Journal:  Sci Rep       Date:  2017-04-10       Impact factor: 4.379

6.  Assessing the anticipated growth response of northern conifer populations to a warming climate.

Authors:  John H Pedlar; Daniel W McKenney
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

7.  Impact of future climate on radial growth of four major boreal tree species in the Eastern Canadian boreal forest.

Authors:  Jian-Guo Huang; Yves Bergeron; Frank Berninger; Lihong Zhai; Jacques C Tardif; Bernhard Denneler
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

8.  Selecting Populations for Non-Analogous Climate Conditions Using Universal Response Functions: The Case of Douglas-Fir in Central Europe.

Authors:  Debojyoti Chakraborty; Tongli Wang; Konrad Andre; Monika Konnert; Manfred J Lexer; Christoph Matulla; Silvio Schueler
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

9.  Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions.

Authors:  Fabián B Gálvez; Andrew T Hudak; John C Byrne; Nicholas L Crookston; Robert F Keefe
Journal:  Carbon Balance Manag       Date:  2014-02-04

10.  Adaptation of lodgepole pine and interior spruce to climate: implications for reforestation in a warming world.

Authors:  Katharina J Liepe; Andreas Hamann; Pia Smets; Connor R Fitzpatrick; Sally N Aitken
Journal:  Evol Appl       Date:  2016-01-19       Impact factor: 5.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.