Digital herbarium archives as a spatially extensive, taxonomically discriminate phenological record; a comparison to MODIS satellite imagery
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This study demonstrates that phenological information included in digital herbarium archives can produce annual phenological estimates correlated to satellite-derived green wave phenology at a regional scale (R = 0.183, P = 0.03). Thus, such records may be utilized in a fashion similar to other annual phenological records and, due to their longer duration and ability to discriminate among the various components of the plant community, hold significant potential for use in future research to supplement the deficiencies of other data sources as well as address a wide array of important issues in ecology and bioclimatology that cannot be addressed easily using more traditional methods.
KeywordsPhenology Plant ecology Herbarium records Remote sensing Landscape ecology
I would like to acknowledge the contributions of Dixie Damrel of the Clemson University herbarium, John Nelson of the A.C. Moore Herbarium at the University of South Carolina, and Chris Oakley of the Robert K. Godfrey herbarium at Florida State University for access to their records, as well as Herrick Brown for assistance with herbarium database software, and Mark D. Schwartz, Dr. David Inouye, and an anonymous reviewer for advice that improved this manuscript.
- Knyazikhin Y, Glassy J, Privette JL, Tian Y, Lotsch A, Zhang Y, Wang Y, Morisette JT, Votava P, Myneni RB, Nemani RR, Running SW (1999) MODIS leaf area index (LAI) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR) product (MOD15) algorithm theoretical basis document. http://eospsogsfcnasagov/atbd/modistableshtml
- Loiselle BA, Jørgensen PM, Consiglio T, Jiménez I, Blake JG, Lohmann LG, Montiel OM (2007) Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes? J Biogeogr 35(1):105–116Google Scholar
- Myneni RB, Hoffman S, Knyazikhin Y, Privette JL, Glassy J, Tian Y, Wang Y, Song X, Zhang Y, Smith GR, Lotsch A, Friedl M, Morisette JT, Votava P, Nemani RR, Running SW (2002) Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens Environ 83:214–231CrossRefGoogle Scholar
- Reed BC, Schwartz MD, Xiao X (2009) Remote sensing phenology: status and the way forward. In: Noormets A (ed) Phenology of ecosystem Processes: applications in global change. Springer, New YorkGoogle Scholar
- Schwartz MD (ed) (2003) Phenology: an integrative environmental science. Kluwer, BostonGoogle Scholar
- White MA, DeBeurs KM, Didan K, Inouye DW, Richardson AD, Jensen OP, O'Keefe J, Zhang G, Nemani RR, VanLeeuwen WJD, Brown JF, DeWit A, Schaepman M, Lin X, Dettinger M, Bailey AS, Kimball J, Schwartz MD, Baldocchi D, Lee JT, Lauenroth WK (2009) Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006. Glob Chang Biol 15(10):2335–2359CrossRefGoogle Scholar