| Data Set Citation |
Wolkovich E of University of California, San Diego.Phenology Literature Review.
wolkovich.24.3
(http://knb.ecoinformatics.org/knb/metacat/wolkovich.24.3/knb).
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| Data Tables, Images, and Other Entities: |
| Data Table: | PhenLitReview_Phys.csv
(View Metadata
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Download File  )
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| Data Table: | PhenLitReview_Climate.txt
(View Metadata
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Download File )
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| Data Table: | PhenLitReview_DatabaseSearchResults.csv
(View Metadata
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Download File )
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| Data Table: | PhenLitReview_MetadataTab.txt
(View Metadata
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Download File )
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| Data Set Owner(s): |
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Individual: | Dr. Elizabeth Wolkovich |
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Organization: | University of California, San Diego |
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Position: | Postdoctoral fellow |
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Address: |
| 9500 Gilman Dr. #0116, |
| San Diego, CA 92093 USA |
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Phone:
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Email Address:
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| Abstract: |
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| 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 |
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| Keywords: |
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- phenology
- climate
- temperature
- precipitation
- photoperiod
- plant
- cue
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| Contact: |
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Individual: | Dr. Elizabeth Wolkovich |
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Organization: | University of California, San Diego |
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Position: | Postdoctoral fellow |
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Address: |
| 9500 Gilman Dr. #0116, |
| San Diego, CA 92093 USA |
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Phone:
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Email Address:
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| Methods Info: |
| Step 1: |
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Description:
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| 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.
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| Step 2: |
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Description:
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| 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*).
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Sampling Area And Frequency:
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Sampling Description:
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| 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 |
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