The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
A global Fine‐Root Ecology Database to address below‐ground challenges in plant ecology
Open accessAbstract
Summary: Variation and tradeoffs within and among plant traits are increasingly being harnessed by empiricists and modelers to understand and predict ecosystem processes under changing environmental conditions. While fine roots play an important role in ecosystem functioning, fine‐root traits are underrepresented in global trait databases. This has hindered efforts to analyze fine‐root trait variation and link it with plant function and environmental conditions at a global scale. This Viewpoint addresses the need for a centralized fine‐root trait database, and introduces the Fine‐Root Ecology Database (FRED, http://roots.ornl.gov) which so far includes > 70 000 observations encompassing a broad range of root traits and also includes associated environmental data. FRED represents a critical step toward improving our understanding of below‐ground plant ecology. For example, FRED facilitates the quantification of variation in fine‐root traits across root orders, species, biomes, and environmental gradients while also providing a platform for assessments of covariation among root, leaf, and wood traits, the role of fine roots in ecosystem functioning, and the representation of fine roots in terrestrial biosphere models. Continued input of observations into FRED to fill gaps in trait coverage will improve our understanding of changes in fine‐root traits across space and time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
World map of the Köppen-Geiger climate classification updated
Kottek, M., Grieser, J., Beck, C., Rudolf, B., & Rubel, F. (2006) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2006/0130 · Cited by 11,456
The worldwide leaf economics spectrum
Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., et al. (2004) · Nature · doi:10.1038/nature02403 · Cited by 9,021
Self-citationLet the concept of trait be functional!
Violle, C., Navas, M., Vile, D., Kazakou, E., Fortunel, C., Hummel, I., & Garnier, E. (2007) · Oikos · doi:10.1111/j.0030-1299.2007.15559.x · Cited by 5,243
Self-citationNew handbook for standardised measurement of plant functional traits worldwide
Pérez-Harguindeguy, N., Díaz, S., Garnier, E., Lavorel, S., Poorter, H., Jaureguiberry, P., Bret-Harte, M. S., Cornwell, W. K., Craine, J. M., Gurvich, D. E., et al. (2013) · Australian Journal of Botany · doi:10.1071/bt12225 · Cited by 4,240
The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto
Reich, P. B. (2014) · Journal of Ecology · doi:10.1111/1365-2745.12211 · Cited by 4,000
Lavorel, S., & Garnier, E. (2002) · Functional Ecology · doi:10.1046/j.1365-2435.2002.00664.x · Cited by 3,452
The global spectrum of plant form and function
Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Colin Prentice, I., et al. (2016) · Nature · doi:10.1038/nature16489 · Cited by 3,365
Self-citationPlant Ecological Strategies: Some Leading Dimensions of Variation Between Species
Westoby, M., Falster, D. S., Moles, A. T., Vesk, P. A., & Wright, I. J. (2002) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.33.010802.150452 · Cited by 3,069
TRY – a global database of plant traits
KATTGE, J., DÍAZ, S., LAVOREL, S., PRENTICE, I. C., LEADLEY, P., BÖNISCH, G., GARNIER, E., WESTOBY, M., REICH, P. B., WRIGHT, I. J., et al. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02451.x · Cited by 2,638
Self-citationAssessing the generality of global leaf trait relationships
Wright, I. J., Reich, P. B., Cornelissen, J. H. C., Falster, D. S., Garnier, E., Hikosaka, K., Lamont, B. B., Lee, W., Oleksyn, J., Osada, N., et al. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2005.01349.x · Cited by 2,598
Methods of Studying Root Systems
Böhm, W. (1979) · Ecological Studies · doi:10.1007/978-3-642-67282-8 · Cited by 2,028
Vegetation classification by reference to strategies
Grime, J. P. (1974) · Nature · doi:10.1038/250026a0 · Cited by 1,571
McCormack, M. L., Dickie, I. A., Eissenstat, D. M., Fahey, T. J., Fernandez, C. W., Guo, D., Helmisaari, H., Hobbie, E. A., Iversen, C. M., Jackson, R. B., et al. (2015) · New Phytologist · doi:10.1111/nph.13363 · Cited by 1,456
Self-citationGoing underground: root traits as drivers of ecosystem processes
Bardgett, R. D., Mommer, L., & De Vries, F. T. (2014) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.10.006 · Cited by 1,356
Roots of the Second Green Revolution
Lynch, J. P. (2007) · Australian Journal of Botany · doi:10.1071/bt06118 · Cited by 1,282
A global meta‐analysis of the relative extent of intraspecific trait variation in plant communities
Siefert, A., Violle, C., Chalmandrier, L., Albert, C. H., Taudiere, A., Fajardo, A., Aarssen, L. W., Baraloto, C., Carlucci, M. B., Cianciaruso, M. V., et al. (2015) · Ecology Letters · doi:10.1111/ele.12508 · Cited by 1,114
Self-citationFINE ROOT ARCHITECTURE OF NINE NORTH AMERICAN TREES
Pregitzer, K. S., DeForest, J. L., Burton, A. J., Allen, M. F., Ruess, R. W., & Hendrick, R. L. (2002) · Ecological Monographs · doi:10.1890/0012-9615(2002)072[0293:fraonn]2.0.co;2 · Cited by 1,065
Towards a multidimensional root trait framework: a tree root review
Weemstra, M., Mommer, L., Visser, E. J. W., van Ruijven, J., Kuyper, T. W., Mohren, G. M. J., & Sterck, F. J. (2016) · New Phytologist · doi:10.1111/nph.14003 · Cited by 786
The emergence and promise of functional biogeography
Violle, C., Reich, P. B., Pacala, S. W., Enquist, B. J., & Kattge, J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415442111 · Cited by 728
Self-citationCosts and benefits of constructing roots of small diameter
Eissenstat, D. M. (1992) · Journal of Plant Nutrition · doi:10.1080/01904169209364361 · Cited by 683
Carbon and Nitrogen Economy of 24 Wild Species Differing in Relative Growth Rate
Poorter, H., Remkes, C., & Lambers, H. (1990) · Plant Physiology · doi:10.1104/pp.94.2.621 · Cited by 638
Evidence of the ‘plant economics spectrum’ in a subarctic flora
Freschet, G. T., Cornelissen, J. H. C., Van Logtestijn, R. S. P., & Aerts, R. (2010) · Journal of Ecology · doi:10.1111/j.1365-2745.2009.01615.x · Cited by 634
Self-citationA global meta-analysis of the relative extent of intraspecific trait variation in plant communities
Siefert, A., Violle, C., Chalmandrier, L., Albert, C. H., Taudière, A., Fajardo, A., Aarssen, L. W., Baraloto, C., Carlucci, M. B., Cianciaruso, M. V., et al. (2015) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-123320 · Cited by 625
Self-citationLeading dimensions in absorptive root trait variation across 96 subtropical forest species
Kong, D., Ma, C., Zhang, Q., Li, L., Chen, X., Zeng, H., & Guo, D. (2014) · New Phytologist · doi:10.1111/nph.12842 · Cited by 577
Roumet, C., Birouste, M., Picon‐Cochard, C., Ghestem, M., Osman, N., Vrignon‐Brenas, S., Cao, K., & Stokes, A. (2016) · New Phytologist · doi:10.1111/nph.13828 · Cited by 566
Self-citationZaehle, S., & Friend, A. D. (2010) · Global Biogeochemical Cycles · doi:10.1029/2009gb003521 · Cited by 554
Poorter, H., Fiorani, F., Pieruschka, R., Wojciechowski, T., van der Putten, W. H., Kleyer, M., Schurr, U., & Postma, J. (2016) · New Phytologist · doi:10.1111/nph.14243 · Cited by 525
Plant and soil water relationships: a modern synthesis
(1971) · Journal of Hydrology · doi:10.1016/0022-1694(71)90275-7 · Cited by 521
Predicting fine root lifespan from plant functional traits in temperate trees
Luke McCormack, M., Adams, T. S., Smithwick, E. A. H., & Eissenstat, D. M. (2012) · New Phytologist · doi:10.1111/j.1469-8137.2012.04198.x · Cited by 465
A plant economics spectrum of litter decomposability
Freschet, G. T., Aerts, R., & Cornelissen, J. H. C. (2012) · Functional Ecology · doi:10.1111/j.1365-2435.2011.01913.x · Cited by 463
Self-citationRapid physiological adjustment of roots to localized soil enrichment
Jackson, R. B., Manwaring, J. H., & Caldwell, M. M. (1990) · Nature · doi:10.1038/344058a0 · Cited by 400
Lavorel, S., & Grigulis, K. (2012) · Journal of Ecology · doi:10.1111/j.1365-2745.2011.01914.x · Cited by 391
Linking root traits to nutrient foraging in arbuscular mycorrhizal trees in a temperate forest
Eissenstat, D. M., Kucharski, J. M., Zadworny, M., Adams, T. S., & Koide, R. T. (2015) · New Phytologist · doi:10.1111/nph.13451 · Cited by 382
Below‐ground frontiers in trait‐based plant ecology
Laliberté, É. (2016) · New Phytologist · doi:10.1111/nph.14247 · Cited by 334
The effects of simulated nitrogen deposition on plant root traits: A meta-analysis
Li, W., Jin, C., Guan, D., Wang, Q., Wang, A., Yuan, F., & Wu, J. (2015) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2015.01.001 · Cited by 325
Wullschleger, S. D., Epstein, H. E., Box, E. O., Euskirchen, E. S., Goswami, S., Iversen, C. M., Kattge, J., Norby, R. J., van Bodegom, P. M., & Xu, X. (2014) · Annals of Botany · doi:10.1093/aob/mcu077 · Cited by 313
Self-citationAbiotic stress responses in plant roots: a proteomics perspective
Ghosh, D., & Xu, J. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00006 · Cited by 294
Warren, J. M., Hanson, P. J., Iversen, C. M., Kumar, J., Walker, A. P., & Wullschleger, S. D. (2015) · New Phytologist · doi:10.1111/nph.13034 · Cited by 292
Self-citationStrong relationship between elemental stoichiometry and metabolome in plants
Rivas-Ubach, A., Sardans, J., Pérez-Trujillo, M., Estiarte, M., & Peñuelas, J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116092109 · Cited by 273
Liu, G., Freschet, G. T., Pan, X., Cornelissen, J. H. C., Li, Y., & Dong, M. (2010) · New Phytologist · doi:10.1111/j.1469-8137.2010.03388.x · Cited by 269
Self-citationA fully traits-based approach to modeling global vegetation distribution
van Bodegom, P. M., Douma, J. C., & Verheijen, L. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304551110 · Cited by 258
Self-citationFunctional traits predict relationship between plant abundance dynamic and long-term climate warming
Soudzilovskaia, N. A., Elumeeva, T. G., Onipchenko, V. G., Shidakov, I. I., Salpagarova, F. S., Khubiev, A. B., Tekeev, D. K., & Cornelissen, J. H. C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310700110 · Cited by 243
Self-citationRelationships among root branch order, carbon, and nitrogen in four temperate species
Pregitzer, K. S., Kubiske, M. E., Yu, C. K., & Hendrick, R. L. (1997) · Oecologia · doi:10.1007/s004420050239 · Cited by 215
Chen, W., Zeng, H., Eissenstat, D. M., & Guo, D. (2013) · Global Ecology and Biogeography · doi:10.1111/geb.12048 · Cited by 201
DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING
Sargsyan, K., Safta, C., Najm, H. N., Debusschere, B. J., Ricciuto, D., & Thornton, P. (2014) · International Journal for Uncertainty Quantification · doi:10.1615/int.j.uncertaintyquantification.2013006821 · Cited by 190
Plant functional type mapping for earth system models
Poulter, B., Ciais, P., Hodson, E., Lischke, H., Maignan, F., Plummer, S., & Zimmermann, N. E. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-993-2011 · Cited by 184
Towards a thesaurus of plant characteristics: an ecological contribution
Garnier, É., Stahl, U., Laporte, M., Kattge, J., Mougenot, I., Kühn, I., Laporte, B., Amiaud, B., Ahrestani, F. S., Bönisch, G., et al. (2016) · Journal of Ecology · doi:10.1111/1365-2745.12698 · Cited by 159
Self-citationFitter, A. H. (1982) · Plant Cell & Environment · doi:10.1111/1365-3040.ep11573079 · Cited by 154
Valverde‐Barrantes, O. J., Smemo, K. A., & Blackwood, C. B. (2014) · Functional Ecology · doi:10.1111/1365-2435.12384 · Cited by 151
Self-citationLarson, J. E., & Funk, J. L. (2016) · New Phytologist · doi:10.1111/nph.13829 · Cited by 144
Verheijen, L. M., Aerts, R., Brovkin, V. A., Cavender-Bares, J. M., Cornelissen, J. H. C., Kattge, J., & van Bodegom, P. M. (2015) · Global Change Biology · doi:10.1111/gcb.12871 · Cited by 123
Self-citationEFFECT OF ELEVATED CO2ON COARSE-ROOT BIOMASS IN FLORIDA SCRUB DETECTED BY GROUND-PENETRATING RADAR
Stover, D. B., Day, F. P., Butnor, J. R., & Drake, B. G. (2007) · Ecology · doi:10.1890/06-0989 · Cited by 117
Self-citationAdvances in the rhizosphere: stretching the interface of life
Mommer, L., Hinsinger, P., Prigent‐Combaret, C., & Visser, E. J. W. (2016) · Plant and Soil · doi:10.1007/s11104-016-3040-9 · Cited by 92
Sensitivity of four ecological models to adjustments in fine root turnover rate
McCormack, M., Crisfield, E., Raczka, B., Schnekenburger, F., Eissenstat, D. M., & Smithwick, E. A. H. (2014) · Ecological Modelling · doi:10.1016/j.ecolmodel.2014.11.013 · Cited by 48
Self-citationModel behavior of arbuscular mycorrhizal fungi: predicting soil carbon dynamics under climate change
Treseder, K. K. (2016) · Botany · doi:10.1139/cjb-2015-0245 · Cited by 45
Verheijen, L. M., Aerts, R., Bönisch, G., Kattge, J., & van Bodegom, P. M. (2015) · New Phytologist · doi:10.1111/nph.13623 · Cited by 37
Self-citation
Cited by
TRY plant trait database – enhanced coverage and open access
Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., et al. (2020) · Global Change Biology · doi:10.1111/gcb.14904 · Cited by 2,089
Self-citationFreschet, G. T., Pagès, L., Iversen, C. M., Comas, L. H., Rewald, B., Roumet, C., Klimešová, J., Zadworny, M., Poorter, H., Postma, J. A., et al. (2021) · New Phytologist · doi:10.1111/nph.17572 · Cited by 668
Self-citationAn integrated framework of plant form and function: the belowground perspective
Weigelt, A., Mommer, L., Andraczek, K., Iversen, C. M., Bergmann, J., Bruelheide, H., Fan, Y., Freschet, G. T., Guerrero‐Ramírez, N. R., Kattge, J., et al. (2021) · New Phytologist · doi:10.1111/nph.17590 · Cited by 486
Self-citationRhizoVision Explorer: open-source software for root image analysis and measurement standardization
Seethepalli, A., Dhakal, K., Griffiths, M., Guo, H., Freschet, G. T., & York, L. M. (2021) · AoB PLANTS · doi:10.1093/aobpla/plab056 · Cited by 426
Self-citationFine-root traits in the global spectrum of plant form and function
Carmona, C. P., Bueno, C. G., Toussaint, A., Träger, S., Díaz, S., Moora, M., Munson, A. D., Pärtel, M., Zobel, M., & Tamme, R. (2021) · Nature · doi:10.1038/s41586-021-03871-y · Cited by 384
Metadata
- Authors
- Iversen, C. M., McCormack, M. L., Powell, A. S., Blackwood, C. B., Freschet, G. T., Kattge, J., Roumet, C., Stover, D. B., Soudzilovskaia, N. A., Valverde‐Barrantes, O. J., van Bodegom, P. M., & Violle, C.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2017-02-28
- Volume
- 215
- Issue
- 1
- Pages
- 15-26
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2592423967
- Cited by
- 386
- References
- 56
- FWCI
- 26.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
