Dixon , Hans Lambers. Plant root and mycorrhizal fungal traits for understanding soil aggregation. Matthias C Rillig , Carlos A. Autumnal warming does not change root phenology in two contrasting vegetation types of subarctic tundra Sarah Schwieger , Juergen Kreyling , Ann Milbau , Gesche Blume-Werry. Species and root traits impact macroaggregation in the rhizospheric soil of a Mediterranean common garden experiment Vincent Poirier , Catherine Roumet , Denis A.
Angers , Alison D.
Frontiers in root ecology: recent advances and future challenges
VillatoroM, Stokes A Soil aggregate stability in Mediterranean and tropical agro-ecosystems: effect of plant roots and soil characteristics. Foraging strategies in trees of different root morphology: the role of root lifespan. Thomas S. Angers , Jean Michel Caron.
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Therefore, in addition to data on root traits, we also collected ancillary data in categories including climate and soils, plant taxonomy, growth form, growing conditions, and stand and vegetation characteristics, as well as standardized metadata on the study and study location, and the classification and collection of roots. In total, there are c.
These are only a few of the many ways in which the root trait observations in FRED can be organized for comparison. Data collection is ongoing and will continue for the foreseeable future. Kramer, and the agronomic literature e. Lynch, , and anticipate annual releases of updated versions of FRED. We recognize that a considerable number of discrete trait datasets still reside with individual researchers, and we encourage the community to notify us of works that have not yet been incorporated. However, we are only soliciting data that the contributors are willing to make freely available to the broader scientific community with unrestricted access.
These data may include more detail on published data e. This website serves as a point of contact for the community to provide input or additional sources of data, and will also be used for communication, updates, and defining metadata standards. FRED seeks to actively expand and engage with other efforts developed in parallel. These include the Rhizopolis database G. Freschet and C. Roumet , the Kent database O. Blackwood , the Alpine Roots Database V. Onipchenko, N. Soudzilovskaia and J. Cornelissen , and the Leiden Database P.
Jenner see Notes S2 for more details on these databases. Hence, the publicly available data from these databases are available in FRED 1. FRED will continue to be curated separately from TRY, as we feel that the definition of root traits and the curation of root trait data by domain experts — root and rhizosphere ecologists — will result in substantially higher data quality compared with trait definition and curation by general trait experts with no specific background in root ecology.
For example, several data streams in FRED were flagged and revisited according to methodology, units, or values that were outside the norm of the root ecology literature.
Fine-Root Ecology Database
FRED 0. Below we use some of the data compiled in FRED 1. Thus the pool of fine roots sampled e. To facilitate advances in comparative root ecology at a global scale and ensure meaningful comparisons among species and PFTs, we recommend that future research campaigns sample roots based on their position in the root branching hierarchy i.
However, we recognize that this is not always feasible, depending on the root trait of interest. Furthermore, root trait research is built on a strong foundation of historical data that have been collected based on diameter classes and cutoffs e. Theory predicts that root traits and trait tradeoffs, in a manner analogous to leaves, fall along a gradient from acquisitive to conservative strategies i. The evaluation of an RES can take advantage of FRED's capacity to differentiate among root orders and to examine multiple root traits and trait tradeoffs simultaneously.
Forest soil and root ecology
As an illustration, we examined the relationship among observations of root N concentration, root order, and root diameter compiled in FRED 1. These hypotheses can be tested against the data compiled in FRED 1. However, a lack of comprehensive root trait data has made it difficult to accurately parameterize these processes in models. The collection of root trait data into a centralized framework, FRED, allows for an objective characterization of gaps in our understanding of root traits and associated ecosystem processes.
A common characteristic for all databases is that not all traits, plant functional types, and biomes are equally represented. Indeed, the distribution of observations across the traits in FRED is uneven, showing a long tail with a low number of observations per trait, typical of biodiversity data see the example from FRED 0.
Furthermore, certain regions of the world are underrepresented, including South America, Africa, Asia, and Australia Fig. Furthermore, we have limited data on the root traits that influence the formation and stabilization of soil aggregates and the cycling of nutrients in the soil e. FRED also highlights gaps in the standardization of root trait measurements across datasets. B, and C.
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Frontiers in root ecology: recent advances and future challenges | SpringerLink
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