Smart, Simon Mark, Glanville, Helen Catherine, Blanes, Maria del Carmen, Mercado, Lina Maria, Emmett, Bridget Anne, Jones, David Leonard, Cosby, Bernard Jackson, Marrs, Robert Hunter ORCID: 0000-0002-0664-9420, Butler, Adam, Marshall, Miles Ramsvik et al (show 3 more authors)
(2017)
Leaf dry matter content is better at predicting above-ground net primary production than specific leaf area.
FUNCTIONAL ECOLOGY, 31 (6).
pp. 1336-1344.
Text
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Abstract
<jats:title>Summary</jats:title><jats:p> <jats:list> <jats:list-item><jats:p>Reliable modelling of above‐ground net primary production (<jats:styled-content style="fixed-case">aNPP</jats:styled-content>) at fine resolution is a significant challenge. A promising avenue for improving process models is to include response and effect trait relationships. However, uncertainties remain over which leaf traits are correlated most strongly with <jats:styled-content style="fixed-case">aNPP</jats:styled-content>.</jats:p></jats:list-item> <jats:list-item><jats:p>We compared abundance‐weighted values of two of the most widely used traits from the leaf economics spectrum (specific leaf area and leaf dry matter content) with measured <jats:styled-content style="fixed-case">aNPP</jats:styled-content> across a temperate ecosystem gradient.</jats:p></jats:list-item> <jats:list-item><jats:p>We found that leaf dry matter content (<jats:styled-content style="fixed-case">LDMC</jats:styled-content>) as opposed to specific leaf area (<jats:styled-content style="fixed-case">SLA</jats:styled-content>) was the superior predictor of <jats:styled-content style="fixed-case">aNPP</jats:styled-content> (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0·55).</jats:p></jats:list-item> <jats:list-item><jats:p>Directly measured <jats:italic>in situ</jats:italic> trait values for the dominant species improved estimation of <jats:styled-content style="fixed-case">aNPP</jats:styled-content> significantly. Introducing intraspecific trait variation by including the effect of replicated trait values from published databases did not improve the estimation of <jats:styled-content style="fixed-case">aNPP</jats:styled-content>.</jats:p></jats:list-item> <jats:list-item><jats:p>Our results support the prospect of greater scientific understanding for less cost because <jats:styled-content style="fixed-case">LDMC</jats:styled-content> is much easier to measure than <jats:styled-content style="fixed-case">SLA</jats:styled-content>.</jats:p></jats:list-item> </jats:list> </jats:p><jats:p>A <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12832/suppinfo">lay summary</jats:ext-link> is available for this article.</jats:p>
Item Type: | Article |
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Uncontrolled Keywords: | Bayesian modelling, ecosystem function, global change, intraspecific variation, measurement error |
Depositing User: | Symplectic Admin |
Date Deposited: | 19 Jan 2017 11:34 |
Last Modified: | 18 Sep 2023 18:38 |
DOI: | 10.1111/1365-2435.12832 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3005289 |