Data Set Citation:
When using this data, please cite the data package:
National Center for Ecological Analysis and Synthesis , NCEAS 12574: Cook: Forecasting phenology: Integrating ecology, climatology, and phylogeny to understand plant responses to climate change , and Wolkovich E.
Phenology Literature Review
wolkovich.24.6 (https://knb.ecoinformatics.org:443/knb/metacat/wolkovich.24.6/knb)
General Information:
Title:Phenology Literature Review
Identifier:wolkovich.24.6
Abstract:
Data are of a literature review conducted by to study plant phenological cues (e.g., to temperature, precipitation, photoperiod, irradiance etc.) using ISI Web of Science. The data were used in the following publication (see especially the 'Appendix S1. Literature review description and references' for methods): Pau, S., Wolkovich, E. M., Cook, B. I., Davies, T. J., Kraft, N. J. B., Bolmgren, K., Betancourt, J. L. and Cleland, E. E. (2011), Predicting phenology by integrating ecology, evolution and climate science. Global Change Biology, 17: 3633–3643. doi: 10.1111/j.1365-2486.2011.02515.x
Keywords:
  • phenology
  • climate
  • temperature
  • precipitation
  • photoperiod
  • plant
  • cue
Data Table, Image, and Other Data Details:
Metadata download: Ecological Metadata Language (EML) File
Data Table:PhenLitReview_Phys.csv ( View Metadata | Download File download)
Data Table:PhenLitReview_Climate.txt ( View Metadata | Download File download)
Data Table:PhenLitReview_DatabaseSearchResults.csv ( View Metadata | Download File download)
Data Table:PhenLitReview_MetadataTab.txt ( View Metadata | Download File download)

Involved Parties

Data Set Creators:
Organization:National Center for Ecological Analysis and Synthesis
Organization:NCEAS 12574: Cook: Forecasting phenology: Integrating ecology, climatology, and phylogeny to understand plant responses to climate change
Individual:Dr. Elizabeth Wolkovich
Organization:University of California, San Diego
Position:Postdoctoral fellow
Address:
9500 Gilman Dr. #0116,
San Diego, CA 92093 USA
Phone:
805-858-0509 (voice)
Email Address:
ewolkovich@ucsd.edu
Data Set Contacts:
Individual:Dr. Elizabeth Wolkovich
Organization:University of California, San Diego
Position:Postdoctoral fellow
Address:
9500 Gilman Dr. #0116,
San Diego, CA 92093 USA
Phone:
805-858-0509 (voice)
Email Address:
ewolkovich@ucsd.edu

Data Set Characteristics

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:  
Description:

Searched ISI for climate-related literature

To review climatological and ecological approaches we initially searched for Topic: (phenolog*)

and at least one of Topic: (shoot elongation, temperature, precipitation, rain, daylength,

leafout, budburst, flower) which produced 551 records. However we then limited

our search to Topic: (temperature OR precipitation OR rain* OR

photoperiod* OR day length OR daylength) AND Topic: (phenolog* AND

climate) AND Topic: (leafout OR budburst OR flower* OR leafing OR

shoot elongation) because this gave a much higher return of records

related to cues. We reviewed all of these abstracts for which articles

included species-specific information on cues underlying phenological

events.

Step 2:  
Description:

Searched ISI for physiological literature

To review cues from the physiological literature we focused on specific

species to limit search results to under a thousand records. An

initial review suggested most research was focused strongly on crop

and lab species so we tailored searches to terms that picked up actual

phenological cues and not genetic descriptions, which were often not

clearly tied to any environmental cue. Searches generally included a

species and physiology, but not phenology, because this term was not

often used (example: Topic: (wheat AND flower*) AND Topic:

physiolog*).

Sampling Area And Frequency:
Global.
Sampling Description:
See two text files submitted with data and see also: Appendix S1 in Pau, S., Wolkovich, E. M., Cook, B. I., Davies, T. J., Kraft, N. J. B., Bolmgren, K., Betancourt, J. L. and Cleland, E. E. (2011), Predicting phenology by integrating ecology, evolution and climate science. Global Change Biology, 17: 3633–3643. doi: 10.1111/j.1365-2486.2011.02515.x

Data Set Usage Rights

Access Control:
Auth System:knb
Order:allowFirst
Allow: [read] public
Allow: [all] uid=regetz,o=NCEAS,dc=ecoinformatics,dc=org
Allow: [all] uid=leinfelder,o=NCEAS,dc=ecoinformatics,dc=org
Metadata download: Ecological Metadata Language (EML) File