Measuring Them all: Individual‐Based Functional Spatial Patterns in Mountain Grasslands

ABSTRACT Questions Spatial patterns of plant traits have rarely been studied at distances below 10 cm. Is it possible to detect nonrandom functional patterns at a very fine scale in mountain secondary grasslands? An analysis in terms of trait similarity, magnitude and density correlation can highlight the importance of different biotic and abiotic processes at these scales. We expect species identity to be of secondary importance if all individuals are identified by their measured traits, resulting in consistent patterns whether it is considered or not, especially if ITV (intraspecific trait variability) and functional overlap are high. Location Natural reserve “Montagna di Torricchio,” a strict reserve in the Marche region, central Apennines, Italy. Methods Plant height, leaf area, and specific leaf area have been measured for each individual (1094 ramets) in 10 quadrats, divided into two grasslands differing in canopy cover. Functional redundancy and ITV were evaluated with overlap measures and variance partitioning. Marked point pattern statistics have been used to test for non‐randomness of trait patterns either by considering all individuals at once or by excluding conspecific pairs. Results At distances below 8 cm, we found evidence of trait convergence, pairs smaller than expected and negative density correlation. Above 8 cm, we found trait divergence and larger than expected pairs. We suggest biotic and abiotic causes for this, linked to physical packing or similarity in soil depth, respectively. The results differed between traits and between grasslands. The results were consistent whether conspecific pairs were excluded or not. There is a high functional overlap among species, and ITV has a large contribution to variability. Conclusions We found nonrandom functional patterns in grasslands below 10 cm, an almost unexplored scale range in any vegetation. The approach used showed that taxonomic identity is less important than the functional setting of individuals at this scale.

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Publication Details

Journal
Journal of Vegetation Science
Published
2025-03-01
DOI
https://doi.org/10.1111/jvs.70029
Citations
1
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
2.31
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article

Measuring Them all: Individual‐Based Functional Spatial Patterns in Mountain Grasslands

Giandiego Campetella, Stefano Chelli, Roberto Canullo, Luciano Ludovico Maria De Benedictis
1 citations
Journal of Vegetation Science
Ecology and Vegetation Dynamics Studies
2.31
article

Measuring Them all: Individual‐Based Functional Spatial Patterns in Mountain Grasslands

Giandiego Campetella, Stefano Chelli, Roberto Canullo, Luciano Ludovico Maria De Benedictis
article en
1 citations

Abstract

ABSTRACT Questions Spatial patterns of plant traits have rarely been studied at distances below 10 cm. Is it possible to detect nonrandom functional patterns at a very fine scale in mountain secondary grasslands? An analysis in terms of trait similarity, magnitude and density correlation can highlight the importance of different biotic and abiotic processes at these scales. We expect species identity to be of secondary importance if all individuals are identified by their measured traits, resulting in consistent patterns whether it is considered or not, especially if ITV (intraspecific trait variability) and functional overlap are high. Location Natural reserve “Montagna di Torricchio,” a strict reserve in the Marche region, central Apennines, Italy. Methods Plant height, leaf area, and specific leaf area have been measured for each individual (1094 ramets) in 10 quadrats, divided into two grasslands differing in canopy cover. Functional redundancy and ITV were evaluated with overlap measures and variance partitioning. Marked point pattern statistics have been used to test for non‐randomness of trait patterns either by considering all individuals at once or by excluding conspecific pairs. Results At distances below 8 cm, we found evidence of trait convergence, pairs smaller than expected and negative density correlation. Above 8 cm, we found trait divergence and larger than expected pairs. We suggest biotic and abiotic causes for this, linked to physical packing or similarity in soil depth, respectively. The results differed between traits and between grasslands. The results were consistent whether conspecific pairs were excluded or not. There is a high functional overlap among species, and ITV has a large contribution to variability. Conclusions We found nonrandom functional patterns in grasslands below 10 cm, an almost unexplored scale range in any vegetation. The approach used showed that taxonomic identity is less important than the functional setting of individuals at this scale.

Journal of Vegetation ScienceVol. 36(2)
Università di Camerino (IT)
Openalex Percentile: Top 16%
Ecology and Vegetation Dynamics Studies
2.31
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