Trait integration varies with resource acquisition strategies in a common perennial crop

Abstract Resource‐acquisitive plant species are expected to show stronger trait integration versus resource‐conservative species, due to simultaneous selection for multiple resource requirements including light, water and nutrients. While this hypothesis has been invoked to predict interspecific differences in trait variation and integration, it has not been tested to explain intraspecific trait variation (ITV) and trait integration among varieties of crop species. We quantified nine leaf physiological, water‐use, chemical and morphological traits related to the acquisition and use of light, CO 2 , water and nutrients, across six varieties of wine grapes ( Vitis vinifera L.), in order to quantify the extent of ITV and trait integration among one of the world's most common and economically important perennial crops. This dataset was also used to test the hypothesis that, within a crop species, resource‐acquisitive varieties express stronger trait integration than resource‐conservative varieties. All leaf traits varied significantly across wine grape varieties and formed an intraspecific resource‐acquisitive–resource‐conservative axis of variation within wine grapes. Consistent with hypotheses on trait variation and integration, wine grape varieties expressing resource‐acquisitive trait syndromes were associated with stronger trait integration versus those expressing resource‐conservative trait syndromes. Specifically, varieties expressing greater values of light‐saturated photosynthesis ( A sat ), stomatal conductance ( g s ), maximum carboxylation ( V cmax ) and electron transport ( J max ) rates, leaf nitrogen concentrations and leaf area expressed an ~45%–65% increase in the number of significant bivariate trait correlations compared to resource‐conservative varieties. However, within all varieties, we detected strong and consistent integration among leaf physiological traits, indicating a mechanistic physiological basis that governs an intraspecific leaf economics spectrum in wine grapes. Strong trait integration in resource‐acquisitive wine grape varieties supports the hypothesis that ‘fast trait’ plants have simultaneously been selected to optimize the multiple rates of resource uptake, through multiple suites of traits. Our work clarifies the mechanisms by which resource‐acquisitive species, particularly crops, are able to capture multiple limiting resources to enhance their growth performance. This study also addresses a gap in our knowledge regarding the magnitude of intraspecific variation in trait integration. Read the free Plain Language Summary for this article on the Journal blog.

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Publication Details

Journal
Functional Ecology
Published
2025-03-04
DOI
https://doi.org/10.1111/1365-2435.70013
Citations
3
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
6.94

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article

Trait integration varies with resource acquisition strategies in a common perennial crop

Adam R. Martin, Michael T. Madigan, Gavin Robertson, Lauren A. Miller et al.
3 citations
Functional Ecology
Forest ecology and management
6.94
article

Trait integration varies with resource acquisition strategies in a common perennial crop

Adam R. Martin, Michael T. Madigan, Gavin Robertson, Lauren A. Miller, Kimberley A. Cathline, Boya Cui
article en
3 citations

Abstract

Abstract Resource‐acquisitive plant species are expected to show stronger trait integration versus resource‐conservative species, due to simultaneous selection for multiple resource requirements including light, water and nutrients. While this hypothesis has been invoked to predict interspecific differences in trait variation and integration, it has not been tested to explain intraspecific trait variation (ITV) and trait integration among varieties of crop species. We quantified nine leaf physiological, water‐use, chemical and morphological traits related to the acquisition and use of light, CO 2 , water and nutrients, across six varieties of wine grapes ( Vitis vinifera L.), in order to quantify the extent of ITV and trait integration among one of the world's most common and economically important perennial crops. This dataset was also used to test the hypothesis that, within a crop species, resource‐acquisitive varieties express stronger trait integration than resource‐conservative varieties. All leaf traits varied significantly across wine grape varieties and formed an intraspecific resource‐acquisitive–resource‐conservative axis of variation within wine grapes. Consistent with hypotheses on trait variation and integration, wine grape varieties expressing resource‐acquisitive trait syndromes were associated with stronger trait integration versus those expressing resource‐conservative trait syndromes. Specifically, varieties expressing greater values of light‐saturated photosynthesis ( A sat ), stomatal conductance ( g s ), maximum carboxylation ( V cmax ) and electron transport ( J max ) rates, leaf nitrogen concentrations and leaf area expressed an ~45%–65% increase in the number of significant bivariate trait correlations compared to resource‐conservative varieties. However, within all varieties, we detected strong and consistent integration among leaf physiological traits, indicating a mechanistic physiological basis that governs an intraspecific leaf economics spectrum in wine grapes. Strong trait integration in resource‐acquisitive wine grape varieties supports the hypothesis that ‘fast trait’ plants have simultaneously been selected to optimize the multiple rates of resource uptake, through multiple suites of traits. Our work clarifies the mechanisms by which resource‐acquisitive species, particularly crops, are able to capture multiple limiting resources to enhance their growth performance. This study also addresses a gap in our knowledge regarding the magnitude of intraspecific variation in trait integration. Read the free Plain Language Summary for this article on the Journal blog.

Functional EcologyVol. 39(4)
Niagara College (CA), University of Toronto (CA), Scarborough Health Network (CA)
Natural Sciences and Engineering Research Council of Canada, University of Toronto Scarborough
Openalex Percentile: Top 4%
Forest ecology and management
6.94
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