National Center for Ecological Analysis and Synthesis and Wolkovich E. 2012. NECTAR: Network of Ecological and Climatological Timings Across Regions Download General Title NECTAR: Network of Ecological and Climatological Timings Across Regions Identifier nceas.988.17 Abstract The Network of Ecological and Climatological Timings Across Regions (NECTAR) database was designed to bring together species-rich plant phenology with a focus on non-clonal, non-cultivated species observations of natural communities. Towards this goal, in October 2009, we reviewed the literature for ground (not herbarium) observational studies of species phenology, searching ISI for topic: (plant phenolog*) and Topic: (observat*) and Topic: (time-series OR long-term). Combined with personal knowledge, we identified 61 datasets. Of these we gained access to 26 datasets (23 with raw data, 4 with only mean phenological values---derived data) and merged these into a common format for the raw and derived data. Further details regarding NECTAR development can be found in the Supplementary materials here: Wolkovich, E.M., B.I. Cook, J.M. Allen, T.M. Crimmins, J.L. Betancourt, S.E. Travers, S. Pau, J. Regetz, T.J. Davies, N.J.B. Kraft, T.R. Ault, K. Bolmgren, S.J. Mazer, G.J. McCabe, B.J. McGill, C. Parmesan, N. Salamin, M.D. Schwartz, and E.E. Cleland, 2012: Warming experiments underpredict plant phenological responses to climate change. Nature, doi:10.1038/nature11014. AND here: Cook, Benjamin; Wolkovich, Elizabeth; Davies, Jonathan; Ault, Toby; Betancourt, Julio; Allen, Jenica; Bolmgren, Kjell; Cleland, Elsa; Crimmins, Theresa; Kraft, Nathan; Lancaster, Lesley; Mazer, Susan; McCabe, Gregory; McGill, Brian; Parmesan, Camille; Pau, Stephanie; Regetz, James; Salamin, Nicholas; Schwartz, Mark; Travers, Steven. Sensitivity of spring phenology to warming across temporal and spatial climate gradients in two independent databases. Ecosystems, in press. Keywords None Keyword Type plant phenology Publication Date 2012-07-04 People and Associated Parties Data Set Creators Organization National Center for Ecological Analysis and Synthesis Individual Elizabeth Wolkovich Organization University of British Columbia Address Vancouver, BC V6T1Z4 Canada Email Address wolkovich@biodiversity.ubc.ca Data Set Contacts Individual Elizabeth Wolkovich Organization University of British Columbia Address Vancouver, BC V6T1Z4 Canada Email Address wolkovich@biodiversity.ubc.ca Associated Parties Individual Elizabeth Wolkovich Role AssociatedParty Individual Benjamin Cook Role Custodian/Steward Individual James Regetz Role Custodian/Steward Metadata Providers Individual Elizabeth Wolkovich Geographic Region Geographic Description Northern hemisphere Bounding Coordinates North 9.0000 degrees South 67.0000 degrees East 20.0000 degrees West -107.0000 degrees Temporal Coverage Date Range Begin 1739-03-04 End 2010-04-20 Methods & Sampling Methods Step 1 Description General disclaimer for all datasets, especially LTER datasets Please note that we provide information on how we obtained data here without all explicit references to the underlying data usage policies. Data users should consult all data usage notes, expected acknowledgements etc. when obtaining the data! We provide notes on main data collectors/curators and usage statements when possible, but this is not an exhaustive list. Remember, only you can prevent data fires! Step 2 Description Obtain dataset: Chinnor (Fitter) data Fitter data (Chinnor, UK ) available with Fitter & Fitter 2002 Science publication. We downloaded data 20 November 2009 from: http://www.sciencemag.org/cgi/content/full/sci;296/5573/1689/DC1 Thanks to R. S. R. Fitter and A. Fitter for posting data with their publication. Step 3 Description Obtain dataset: Harvard Forest LTER data We downloaded Harvard Forest LTER 'Phenology of Woody Species' data on 2 May 2010. The following file was used: hf003_03ObsPhenSpringPhen.csv Data can be downloaded from Harvard Forest LTER data webportal: harvardforest.fas.harvard.edu/data/archive.html Special thanks to John O'Keefe for posting data. Step 4 Description Obtain dataset: Hubbard Brook LTER data We downloaded 'Routine Phenology Measurements' from Hubbard Brook LTER at: http://www.hubbardbrook.org/data/dataset_search.php on 30 April 20120, using the file phn.txt. Thanks to Amey Bailey for data collection. Step 5 Description Obtain dataset: Konza data We downloaded data for Konza collected by volunteers: http://keep.konza.ksu.edu/Plant%20List.htm on 30 Nov 2009. Step 6 Description Obtain dataset: Luquillo LTER data We downloaded Luquillo LTER 'Phenologies for the Tabonuco Forest trees and shrubs' data including the following files: Lfdp1-BisleyPhenology.txt Lfdp1-ElVerdePhenology.txt Lfdp2-ElVerdePhenology.txt on 13 May 2010. Data available through Luquillo Data server: http://luq.lternet.edu/data/datacatalog Thanks to Jess Zimmerman for data. Step 7 Description Obtain dataset: Niwot LTER data We downloaded the Niwot Ridge LTER 'Individual plant phenology in nodal plots' data on 2 May 2010 from Niwot LTER datasite: http://culter.colorado.edu/NWT/data/datmansearch.html Using the file: Walker_IndPhenology.txt Many thanks to Marilyn Walker for collecting data. Please note the required data statement: Logistical support and/or data were provided by the NSF supported Niwot Ridge Long-Term Ecological Research project and the University of Colorado Mountain Research Station The user of NWT LTER data agrees to provide proper acknowledgment with each usage of the data. Citation of the name(s) of the investigator(s) responsible for the data set, in addition to the generic statement above, constitute proper acknowledgment. Author(s) (including NWT investigators) of published material that makes use of previously unpublished NWT data agree to provide the NWT data manager with four (4) copies (preferably reprints) of that material for binding as soon as it becomes available. The user of NWT data agrees not to resell or redistribute shared data. The user of these data should be aware that, while efforts have been taken to ensure that these data are of the highest quality, there is no guarantee of perfection for the data contained herein and the possibility of errors exists. Step 8 Description Obtain datasets: Sevilleta LTER data (core and transects) We used two different datasets from Sevilleta LTER, first what we called 'sevtrans' is the 'Plant Phenology Transects' and includes: sev048_1995_data.dbf sev048_1994_data.dbf sev048_1993_data.dbf sev048_1991_data.dbf The other is 'Core Site Phenology' data and includes: sev137_data.dbf Both datasets use the species file: sev048_1991_meta.dbf and were downloaded on 13 May 2010). Thanks to Kirstin Vanderbilt for data and answering many of our questions. Data were obtained directly from the KNB: http://knb.ecoinformatics.org/ Note the following: The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers. For example: Data sets were provided by the Sevilleta Long Term Ecological Research (LTER) Program. Significant funding for collection of these data was provided by the National LTER Home | UNM Sevilleta Field Station Home | Webmail Home » Information Management Overview â¹ Information Management Overview up Data Collection and Submission Science Foundation Long Term Ecological Research program (NSF Grant numbers BSR 88-11906, DEB 9411976, DEB 0080529 and DEB 0217774). 5 ) Notification. The Data User will notify the Data Set Contact Step 9 Description Obtain dataset: Mikesell data 'Mikesell phenological data from Wauseon, Ohio, USA, 1883-1912' data obtained from M. Lechowicz and now publically available at: knb.ecoinformatics.org/knb/metacat/wolkovich.33/knb Step 10 Description Additional datasets (in progress) The following datasets are part of NECTAR: (1) Concord, Massachusetts - 1851 to 2006 (shared courtesy of Richard Primack) Notes: Please contact Abraham Miller-Rushing (aberushing@alumni.grinnell.edu) or Richard Primack (primack@bu.edu) before using these data. For supporting information, please see Miller-Rushing and Primack (2008). The 2003 flowering data is not accurate estimates of first flowering as we were learning the locations of plant species and often found species when they were in full flower or even past full flower. Cite data as: Miller-Rushing, A.J. and R.B. Primack. 2008. Global warming and flowering times in Thoreau's Concord: a community perspective. Ecology 89: 332-341. (2) First-flowering dates of plants in the Northern Great Plains (1910-1961 and 2007-2012) Earlier data published at Ecological Archives (Ecology 90:2332): E090-162-D1 by Steven E. Travers and Kelsey L. Dunnell in 2009. (3) Data collected by David Inouye in Gothic, Colorado (1975-2009). See: Inouye, D. W. Effects of climate change on phenology, frost damage, and floral abundance of montane wildflowers. Ecology 89(2), 353â362 (2008). (4) First flowering dates recorded by farmer Gunnar Johansson between 1934-2006 25 species growing in and around his garden (About half of the species are wild and the other half considered garden plants). The data has been transformed to Julian days and entered by Kjell Bolmgren. (5) Marsham data (1736-1958). See: Sparks, T. H. and Carey, P. D. The responses of species to climate over two centuries - an analysis of the Marsham phenological record, 1736-1947. Journal of Ecology 83(2), 321â329 (1995). (6) Data from Mohonk Lake, New York (1928-2002). All records listed in Table I were digitized from notecard observations taken by observers at Mohonk Lake over the years. Observations were made along predetermined routes and at speciï¬c locations. This methodology helped reduce observer bias or error. Following digitizing, the original notecard records were rechecked and problematic observations were dropped if they clearly exceeded the range of phenological variability of the species in question (the 3-sigma rule). Finally, for this analysis, we also only retained records for which at least 24 observations (years) were available to ensure a reasonable level of signiï¬cance in our statistical analysis. See also: Cook, B. I., Cook, E. R., Huth, P. C., Thompson, J. E., Forster, A., and Smiley, D. Across-taxa phenological dataset from Mohonk Lake, NY and its relationship to climate. International Journal of Climatology 28(10), 1369â1383 (2008). (7) Data from University of Milwaukee Field Station (2000-2009, courtesy of M. D. Schwartz) UWMFS location: 43.387 °N, 88.023 °W Web page: http://www4.uwm.edu/fieldstation/ Event codes: bb50mdoy is mean day of year among the individuals of that species that 50% of buds on the tree that have broken open, revealing leaves. l75mdoy is the mean day of year among the individuals of that species that 75% of leaves on the tree are at least 75% of their total size. l95mdoy is the mean day of year among the individuals of that species that 95% of leaves on the tree are at least 95% of their total size. See also: Schwartz, M. D. and Hanes, J. M. Intercomparing multiple measures of the onset of spring in eastern North America. International Journal of Climatology 30(11), 1614â1626 (2010). (8) Spring flowering records from Washington, DC area. Data available at: http://botany.si.edu/dcflora/springflowers/index.htm And additionally extracted from: Abu-Asab, M. S., Peterson, P. M., Shetler, S. G., and Orli, S. S. Earlier plant flowering in spring as a response to global warming in the Washington, DC, area. Biodiversity and Conservation 10(4), 597â612 (2001). Step 11 Description Taxa scrubbing Taxon scrubbing of species names occurs with using file: TS_AllTaxa.csv, which was originally an MS Access database file called 'TS_taxonomy_IPNI_1.0.mdb' (unzipped 2006-08-24 16:01) by J. Regetz. Contact J. Regetz for access to this file. Step 12 Description Merge datasets in R After obtaining all datasets they can be merged in R using the mergenectar.R file provided. This file should run (outside of taxonomy scrubbing) as long as the structure of the underlying datasets remains unchanged from 2010. Data Table, Image, and Other Data Details Data Table Entity Name Species list for Harvard Forest data Description species list to convert codes for Harvard Forest data, extracted from metadata of HF003 'Phenology of Woody Species' Object Name specieslist_bylizzie.csv Online Distribution Info ecogrid://knb/wolkovich.36.1 Size 864 byte Text Format Number of Header Lines 1 Record Delimiter #x0A Attribute Orientation column Simple Text Field Delimeter , Number Of Records 38 Attribute Information Variables code genusspecies Name code PLACEHOLDER Label Definition taxa code Storage Type Measurement Type nominal Measurement Domain Definition species code is comprised of the first two letters of the genus plus the first two letters of the species Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name genusspecies PLACEHOLDER Label Definition latin binomial Storage Type Measurement Type nominal Measurement Domain Definition latin binomial (genus species) Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Data Table Entity Name Luquillo species translation file Description File needed to translate Luquillo species codes Object Name Luquillo_species_JD.txt Online Distribution Info ecogrid://knb/wolkovich.37.1 Size 9660434 byte Text Format Number of Header Lines 1 Record Delimiter #x0A Attribute Orientation column Simple Text Field Delimeter #x09 Number Of Records 125021 Attribute Information Variables DATE BASKET SPECIES CODE NUMBER Genus Species Family site Name DATE PLACEHOLDER Label Definition Date of observation Storage Type Measurement Type dateTime Measurement Domain Format MM/DD/YYYY Precision 0 Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name BASKET PLACEHOLDER Label Definition Litter trap basket ID Storage Type Measurement Type nominal Measurement Domain Definition Codes for litter trap baskets Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name SPECIES PLACEHOLDER Label Definition codes for species Storage Type Measurement Type nominal Measurement Domain Definition Codes for species names Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name CODE PLACEHOLDER Label Definition NA Storage Type Measurement Type nominal Measurement Domain Definition See metadata of Luquillo phenology data for more information Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name NUMBER PLACEHOLDER Label Definition NA Storage Type Measurement Type nominal Measurement Domain Definition See metadata for Luquillo phenology data for more information Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name Genus PLACEHOLDER Label Definition Genus name Storage Type Measurement Type nominal Measurement Domain Definition Genus name Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name Species PLACEHOLDER Label Definition Species epithet Storage Type Measurement Type nominal Measurement Domain Definition Species epithet Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name Family PLACEHOLDER Label Definition family Storage Type Measurement Type nominal Measurement Domain Definition family Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name site PLACEHOLDER Label Definition site Storage Type Measurement Type nominal Measurement Domain Definition site Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Other Entity Entity Name mergenectar.R Data Object Type: Other Description R code to merge public data Physical Structure Description: Object Name mergenectar.R Size 22929 byte Externally Defined Format Format Name text/plain Online Distribution Info ecogrid://knb/wolkovich.38.3 Data Table Entity Name NECTAR taxa scrubbing Description File showing original species name, whether they matched to IPNI and any adjustments made Object Name nectarnames_all.csv Online Distribution Info ecogrid://knb/wolkovich.39.1 Size 66441 byte Text Format Number of Header Lines 1 Record Delimiter #x0A Attribute Orientation column Simple Text Field Delimeter , Number Of Records 1160 Attribute Information Variables site genus species scrub genus.prescrub species.prescrub ipni Name site PLACEHOLDER Label Definition site of data Storage Type Measurement Type nominal Measurement Domain Definition Site names Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name genus PLACEHOLDER Label Definition genus, as given in NECTAR Storage Type Measurement Type nominal Measurement Domain Definition genus, after cleaning, as given in NECTAR Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name species PLACEHOLDER Label Definition species epithet, as given in NECTAR Storage Type Measurement Type nominal Measurement Domain Definition species epithet, after cleaning, as given in NECTAR Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name scrub PLACEHOLDER Label Definition how many times a name was cleaned (adjusted), this was all done by hand Storage Type Measurement Type ratio Measurement Domain Unit dimensionless Type integer Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name genus.prescrub PLACEHOLDER Label Definition genus from original data source Storage Type Measurement Type nominal Measurement Domain Definition genus from original data source Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name species.prescrub PLACEHOLDER Label Definition species epithet, from original data source Storage Type Measurement Type nominal Measurement Domain Definition species epithet, from original data source Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name ipni PLACEHOLDER Label Definition International Plant Names Index -- whether species name was accepted, not-accepted or not found in our IPNI list (unmatched) Storage Type Measurement Type nominal Measurement Domain Definition Species name matching to International Plant Names Index Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Data Table Entity Name nectarpheno_raw.csv Description NECTAR raw, collated data Object Name nectarpheno_raw.csv Online Distribution Info ecogrid://knb/wolkovich.40.2 Size 1709107 byte Text Format Number of Header Lines 1 Record Delimiter #x0A Attribute Orientation column Simple Text Field Delimeter , Number Of Records 23105 Attribute Information Variables site plot event year doy date genus species scrub varetc cult Name site PLACEHOLDER Label Definition site name Storage Type Measurement Type nominal Measurement Domain Definition site name Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name plot PLACEHOLDER Label Definition plot, Plot means a couple things that factor into first-events calculations so be careful: For the `network' sites (washdc) I put station id info in the plot column. For washdc we take ffd by the entire site, so plot for washdc is basically just an FYI of the spatial location the ffd happened. For Fargo, the site variable given in the raw data was transferred to the plot column. We give ffd by site alone. Thus, as for washdc, the plot column just tells you where the ffd happened. I also used plot in its more traditional ecological sense: as a small plot of land (or transect of land), or an area of plots and transects (something akin to a block), given in the raw data by the researchers for: Sevilleta (core and trans: each maintains the LTER plot info like: cresote site, blue gamma dominated site etc.), Niwot, Luquillo (3 forests) and for all these we take site x plot. Storage Type Measurement Type nominal Measurement Domain Definition plot, varies by site Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name event PLACEHOLDER Label Definition phenological event Storage Type Measurement Type nominal Measurement Domain Enumerated Domain Code Definition Source ffd irst flowering date (either data was taken only as first flowering date or we condensed monitoring data into estimates of first flowering dates) Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name year PLACEHOLDER Label Definition year Storage Type Measurement Type ratio Measurement Domain Unit nominalYear Type natural Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name doy PLACEHOLDER Label Definition day of year (0 to 366) Storage Type Measurement Type ratio Measurement Domain Unit nominalDay Type natural Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name date PLACEHOLDER Label Definition date Storage Type Measurement Type dateTime Measurement Domain Format YYYY-MM-DD Precision Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name genus PLACEHOLDER Label Definition genus Storage Type Measurement Type nominal Measurement Domain Definition genus Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name species PLACEHOLDER Label Definition species epithet Storage Type Measurement Type nominal Measurement Domain Definition species epithet Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name scrub PLACEHOLDER Label Definition was taxa name scrubbed and how many times Storage Type Measurement Type ratio Measurement Domain Unit dimensionless Type whole Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name varetc PLACEHOLDER Label Definition taxonomic classification below species: variety, subspecies etc. Storage Type Measurement Type nominal Measurement Domain Definition taxonomic classification below species: variety, subspecies etc. Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Name cult PLACEHOLDER Label Definition cultivated, was observation of cultivated species -- NA means not cultivated Storage Type Measurement Type nominal Measurement Domain Definition cultivated, was observation of cultivated species -- NA means not cultivated Missing Value Code Accuracy Report Accuracy Assessment Coverage Methods & Sampling Data Set Usage Rights Intellectual Rights no restrictions Access Control Auth System knb Order allowFirst Allow Permission Principal [all] uid=nceasadmin,o=NCEAS,dc=ecoinformatics,dc=org [all] cn=knb-prod,o=NCEAS,dc=ecoinformatics,dc=org [all] cn=esa-moderators,dc=ecoinformatics,dc=org [read] [write] uid=wolkovich,o=NCEAS,dc=ecoinformatics,dc=org [read] public
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