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TreeDì_P2G Leaf trait variation
Name:
P2G: Causes and effects of leaf trait variation
Description:
Chemical and morphological leaf and root traits of trees have been shown to vary (1) among species, (2) within species and among individuals, and (3) within individuals. So far it is unknown how these three components of trait variation contribute to complementarity effects of ecosystem functions. In the TreeDì design with comparing mono- and heterospecific TSPs, complementarity effects are easily visible in over-yielding. Increased complementarity can be achieved through increasing trait variance between the two trees of a TSP or by increasing trait variance within the individual TSP trees. In addition, the contribution of the three components of trait variation to complementarity can vary with the abiotic environment, such as differences in soil nutrient supply, and the biotic environment, such as differences in tree species identity and diversity of the local neighborhood. Objectives: to quantify to which degree leaf traits are adjusted to different light conditions along the interaction plane of two tree species to analyze trait variation as a response to species and functional diversity of the local neighborhood of the TSP andthe dependence of traits and trait variation on soil nutrient availability to relate trait variation and performance of the TSP to quantify different components of trait variation to complementarity effects of ecosystem functions
Created at:
2019-12-17
Updated at:
2019-12-17

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Andréa
Davrinche

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PhD student

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Sylvia
Haider

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Principle investigator

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Stan
Harpole

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Steffen
Neumann

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Pablo
Castro Sánchez-Bermejo

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Akhil
Murali

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Joice
Klipel

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Data (1/2) for Castro et al (2023): "Within-Individual Leaf Trait Variation Increases with Phenotypic Integration in a Subtropical Tree Diversity Experiment" New Phytologist 240 (4) 1390-1404

Abstract:
Leaf level data for 9 leaf traits sampled in site A and site B of the BEF-China used in the statistical analyses

Id: 755
People: 4
Projects: 1
Version: 1
Attachments: 1
Created at: 2026-03-25
Updated at: 2026-03-25

Data (2/2) for Castro et al (2023): "Within-Individual Leaf Trait Variation Increases with Phenotypic Integration in a Subtropical Tree Diversity Experiment" New Phytologist 240 (4) 1390-1404

Abstract:
Abundance matrix for the local neighborhood of every target tree included in the "leaf traits" dataset. Every column represent a different tree species, while every row includes the Tree ID belonging to the trees sampled in the experiment

Id: 756
People: 4
Projects: 1
Version: 1
Attachments: 0
Created at: 2026-03-25
Updated at: 2026-03-25

Data for Castro et al (2023): "Intraspecific and intraindividual trait variability decrease with tree richness in a subtropical tree biodiversity experiment"; nature communications 16 (11009)

Abstract:
This Dataset includes the folloing leaf traits from the BEF-China experiment: Fresh_weight, Dry_Weight, Leaf_area, SLA, LDMC, C, N, P, Ca, Mg, K. The Dataset includes measured leaf traits as well as leaf traits predicted via NIRS. Sampling took ...

Id: 757
People: 4
Projects: 1
Version: 0
Attachments: 0
Created at: 2026-03-26
Updated at: 2026-03-26

Data for Davrinche & Haider, 2021 : Intra-specific leaf trait responses to species richness at two different local scales.

Abstract:
Plant functional traits, especially leaf traits, are accepted proxies for ecosystem properties. Typically, they are measured at the species level, neglecting within-species variation. While there is extensive knowledge about functional trait chang...

Id: 648
People: 2
Projects: 1
Version: 1
Attachments: 0
Created at: 2021-09-28
Updated at: 2021-09-28

TSP circumference measures 2019

Abstract:
TreeDÌ project: TSP list for site A and B contains all possible TSPs combinations, plot names and parametres, TSPs and Neighbours trees coordinates, their species, their current situation (dead/alive/not available) and all trees circumference meas...

Id: 619
People: 2
Projects: 18
Version: 13
Attachments: 0
Created at: 2020-02-05
Updated at: 2020-02-11
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