Do plant traits retrieved from a database accurately predict on‐site measurements?
By Verena Cordlandwehr, R. L. Meredith, W. Ozinga, Renée M. Bekker, J. M. Groenendael, J. Bakker. 2013
130 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0f1a350a0a7d23492d4a90a22f703c3f24eb2584
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- S. Lavorel
- Francesco de Bello
- Peter B. Reich
- C. Violle
- J. H. C. Cornelissen
- David A. Wardle
- Sandra Díaz
- C. Roumet
In Nature and Landscape Conservation
- S. Lavorel
- Peter B. Reich
- Francesco de Bello
- C. Violle
- J. H. C. Cornelissen
- Joaquín Hortal
- Jorge M. Lobo
- I. Wright
Citations in the corpus
- Handbook of protocols for standardized measurement of terrestrial invertebrate functional traits (2017, unknown): “For many research questions, traits obtained from trait data bases can be used as a first step to test hypotheses (Cordlandwehr et al. 2013) and for analyses at broad spatial scales (Hortal et al.”
- Understanding mechanisms of soil biota involvement in soil aggregation: A way forward with saprobic fungi? (2015, background): “soil or growth media), along resource gradients, and for a range of biotic and abiotic stressors (Harris et al., 2003; Crowther et al., 2012; Cordlandwehr et al., 2013).”
- Evaluation of leaf features in forest trees: Methods, techniques, obtainable information and limits (2015, background): “ordlandwehr et al. (2013) suggest that the accuracy of a trait etrieved from a database depends on the level of species aggregaion (habitat, community level), the trait itself and the habitat type.”
- Climate change vulnerability assessment of species (2018, background): “Furthermore, recognition of the value of trait variability in addition to species means will improve prediction accuracy (Cordlandwehr et al., 2013).”
- Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity (2015, background): “For example, most easily measurable functional traits are under selection by a combination of abiotic and biotic forces (Cornelissen et al. 2003), so that the traits’ predictive power for specific stressors is reduced and contingent on region (Dı́az et al. 2007).”
- BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography (2015, background): “Due to these frequently observed patterns, mean trait values of species and even genera are often used to fill gaps in trait matrices (Fried et al., 2012; Cordlandwehr et al., 2013).”
- GlobalAnts: a new database on the geography of ant traits (Hymenoptera: Formicidae) (2017, unknown): “In addition, because most trait databases do not link to local assemblages, they only provide average trait values, not individual or location-specific ones; this can be problematic because aggregated information from regional databases does not always reliably reflect onsite trait values or local v”
- Climate, soil and plant functional types as drivers of global fine‐root trait variation (2017, result): “It is therefore necessary to determine to what extent fine-root trait values measured in highly or partly controlled conditions (e.g. pots or common-gardens respectively) differ from those in natural conditions (e.g. Cordlandwehr et al. 2013; Kazakou et al. 2014).”
- A plant economics spectrum in Mediterranean forests along environmental gradients: is there coordination among leaf, stem and root traits? (2016, background): “The relationships between traits belonging to different organs may also change if they are affected by different environmental conditions (Cordlandwehr et al. 2013) or because different floras are subject to different evolutionary constraints (Heberling & Fridley 2012).”