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{"references": ["Biolflor: Klotz, S., Kuhn, I., Durka, W. (2002) BIOLFLOR - Eine Datenbank zu biologi- \u20ac sch-okologischen Merkmalen zur Flora von Deutschland. \u20ac Schriftenreihe fur\u20ac Vegetationskunde, 38, 1\u2013333. https://www.ufz.de/biolflor/index.jsp", "Bocci, Gionata. \"TR8: An R Package for Easily Retrieving Plant Species Traits.\" Methods in Ecology and Evolution 6, no. 3 (April 10, 2019): 1-26. doi:10.1111/2041-210x.12327.", "Catminat: P. Julve. Baseflor. index botanique, \u00b4ecologique et chorologique de la flore de france. http://perso.wanadoo.fr/philippe.julve/catminat.htm, 26 November 2014.", "ECOFLORA: Fitter, A.H. & Peat, H.J. (1994) The Ecological Flora Database. Journal of Ecology, 82, 415\u2013425. http://www.ecoflora.co.uk", "Ellenberg values for Italian Flora: S. Pignatti, P. Menegoni, and S. Pietrosanti. Biondicazione attraverso le piante vascolari. Valori di indicazione secondo Ellenberg (Zeigerwerte) per le specie della Flora d'Italia. Braun-Blanquetia, 39:97, 2005.", "Flowering period for Italian Flora: S. Pignatti, P. Menegoni, and S. Pietrosanti. Biondicazione attraverso le piante vascolari. Valori di indicazione secondo Ellenberg (Zeigerwerte) per le specie della Flora d'Italia. Braun-Blanquetia, 39:97, 2005.", "MycoFlor: Stefan Hempel, Lars G\u00a8otzenberger, Ingolf Kuhn, Stefan G Michalski,Matthias C Rillig, Martin Zobel, and Mari Moora. Mycorrhizas in the Central European flora: relationships with plant life history traits and ecology. Ecology, 94(6):1389\u20131399, February 2013. http://www.esapubs.org/archive/ecol/E094/123/suppl-1.php", "Mycorrhizal Intensity Databases: A.A. Akhmetzhanova, N. A. Soudzilovskaia, V. G. Onipchenko, W.K. Cornwell, V.A. Agafonov, I.A. Selivanov, and J. H.C. Cornelissen. A rediscovered treasure: mycorrhizal intensity database for 3000 vascular plant species across the former Soviet Union: Ecological archives e093-059. Ecology, 93(3):689\u2013690, 2012.", "R Core Team. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.", "The LEDA Traitbase: Kleyer, M., Bekker, R., Knevel, I., Bakker, J., Thompson, K., Sonnenschein, M. et al. (2008) The LEDA Traitbase: a database of life-history traits of the Northwest European flora. Journal of Ecology, 96, 1266\u20131274. http://www.leda-traitbase.org/LEDAportal/"]}
This project utilizes data found with Environmental DNA (eDNA) analysis, specifically of plant species. This source of DNA serves as a type of genetic marker that can be used to identify specific plant species based on traces of their unique genetic material. By identifying the plant species, ecologists have the ability to monitor biodiversity and practice proper conservation tactics to preserve plant species in a tested area. eDNA of plants can be found in the forms of pollen, spores, scales, etc. in geographic areas of study. For the purposes of this program, the input data is an eDNA / anacapa output table consisting of 149 sample entries. The main purpose of this program is to obtain and organize data about species found within an eDNA / anacapa output table. From there, the program will utilize the TR8 package in the R software to find desired trait data of each species found and format this information into a table. This program is overall used to simplify, identify, and organize trait data pertaining to multiple plant species all in one program.
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