4.6 Article

Carbon concentration in the world's trees across climatic gradients

期刊

NEW PHYTOLOGIST
卷 232, 期 1, 页码 123-133

出版社

WILEY
DOI: 10.1111/nph.17587

关键词

carbon accounting; carbon concentration; functional trait; lignin; wood carbon; wood chemistry; wood economics spectrum; wood trait

资金

  1. University of Toronto Centre for Global Change Science Undergraduate Intern Program
  2. Natural Sciences and Engineering Research Council of Canada
  3. University of Toronto Connaught New Researcher Award
  4. Ontario Graduate Scholarship

向作者/读者索取更多资源

Climate variables such as mean annual temperature and precipitation are significantly correlated with wood carbon concentrations. Changes in lignin concentrations may play a key role in governing the relationship between wood carbon and climate factors. Wood carbon concentrations are influenced by environmental conditions, enhancing our understanding of the potential adaptive significance of wood carbon variation in trees.
Wood carbon (C) concentration is a key wood trait that varies widely among tree species, but our understanding of the factors governing this trait is limited, despite reason to hypothesize that wood C varies systematically across environmental gradients. We compiled a novel database of 1145 geo-referenced wood C observations from 415 species, to elucidate climate correlates of wood C concentrations, and test if these relationships differ across tissue types and major taxonomic divisions (i.e. angiosperms vs gymnosperms). Climate variables, including mean annual temperature (MAT) and precipitation and temperature seasonality, are significantly correlated with wood C concentrations. Relationships between wood C and these variables differ across tissue types and taxonomic divisions, yet there is a negative relationship between wood C and MAT that exists across all tissues and species groups. Wood C concentrations in trees are influenced by climate, with experimental evidence (albeit scant) indicating that climate-driven changes in lignin concentrations likely govern these relationships. Our study presents among the first lines of evidence indicating that wood C concentrations are correlated with environmental conditions, thereby enhancing our understanding of the potential adaptive significance of wood C variation in trees.

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