Lilac and honeysuckle phenology data 1956-2014

Scientific Data

Volumn 2, Issue , 2015, Pages

  Rosemartin, Alyssa H ^a,b   Denny, Ellen G ^a,b   Weltzin, Jake F ^a,c   Lee Marsh, R ^a,b   Wilson, Bruce E ^d   Mehdipoor, Hamed ^e   Zurita Milla, Raul ^e   Schwartz, Mark D ^f  

^a National Phenology Network   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

^d OAK RIDGE NATIONAL LABORATORY   (United States)

^e UNIVERSITY OF TWENTE   (Netherlands)

^f UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; LONICERA; SYRINGA; UNITED STATES;

CLIMATE CHANGE; LONICERA; SYRINGA; UNITED STATES;

EID: 84949295485     PISSN: None     EISSN: 20524463     Source Type: Journal    
DOI: 10.1038/sdata.2015.38     Document Type: Article

References (30)

1. Root, T. L., et al. Fingerprints of global warming on wild animals and plants. Nature 421, 57-60 (2003
2. Parry, M L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J., & Hanson, C. E. (Cambridge University Press, 2007
3. Schwartz, M. D., Betancourt, J. L., & Weltzin, J. F. From Caprio's lilacs to the USA National Phenology Network. Frontiers in Ecology and the Environment 10, 324-327 (2012
4. Schwartz, M. D. Monitoring global change with phenology: the case of the spring green wave. International Journal of Biometeorology 38, 18-22 (1994
5. Cayan, D. R., Dettinger, M. D., Kammerdiener, S. A., Caprio, J. M., & Peterson, D. H. Changes in the onset of spring in the western United States. Bulletin of the American Meteorological Society 82, 399-415 (2001
6. Schwartz, M. D., & Karl, T. R. Spring phenology: Nature's experiment to detect the effect of ?green-up? on surface maximum temperatures. Monthly Weather Review 118, 883-890 (1990
7. Liang, L., & Schwartz, M. D. Testing a growth efficiency hypothesis with continental-scale phenological variations of common and cloned plants. International journal of biometeorology 58, 1789-1797 (2013
8. Schwartz, M. D. in Phenology in seasonal climates I (eds H. Lieth & M.D. Schwartz) Ch. 2, 23-38 (Backbuys Publishers, 1997
9. Schwartz, M. D., Ault, T. R., & Betancourt, J. L. Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices. International Journal of Climatology 33, 2917-2922 (2013
10. Ault, T. R., Zurita-Milla, R., & Schwartz, M. D. A Matlab toolbox for calculating spring indices from daily meteorological data. Computers and Geosciences doi: http://dx.doi.org/10.1016/j.cageo.2015.06.015 (In Press
11. Liang, L., & Schwartz, M. Landscape phenology: an integrative approach to seasonal vegetation dynamics. Landscape Ecol. 24, 465-472 (2009
12. Melillo J. M., Richmond T. C., & Yohe G. W. (eds) Climate Change Impacts in the United States: The Third National Climate Assessment 841 (U.S. Global Change Research Program, 2014
13. EPA Climate change indicators in the United States, 2014. Report No EPA 430-R-14-004. (Environmental Protection Agency, 2014
14. Schwartz, M. D., Ahas, R., & Aasa, A. Onset of spring starting earlier across the Northern Hemisphere. Global Change Biology 12, 343-351 (2006
15. Denny, E. G., et al. Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications. International Journal of Biometerology 58, 591-601 (2014
16. Pau, S., et al. Predicting phenology by integrating ecology, evolution and climate science. Global Change Biology 17, 3633-3643 (2011
17. Cleland, E. E., Chuine, I., Menzel, A., Mooney, H. A., & Schwartz, M. D. Shifting plant phenology in response to global change. Trends in ecology & evolution 22, 357-365 (2007
18. Rafferty, N. E., CaraDonna, P. J., Burkle, L. A., Iler, A. M., & Bronstein, J. L. Phenological overlap of interacting species in a changing climate: an assessment of available approaches. Ecology and evolution 3, 3183-3193 (2013
19. Dubé, P. A., Perry, L. P., & Vittum, M. T. Instructions for phenological observations: lilac and honeysuckle. Vermont Agr. Exp. Sta. Bull 692, 1-8 (1984
20. Caprio, J. M., Magnuson, M. D., & Metacalf, H. N. Instructions for phenological observations of purple common lilac and red berry honeysuckle. Montana Agr. Exp. Sta. Circ 250, 1-19 (1970
21. Caprio, J. M. A collection of the annual ?Reports to Cooperators of the Phenological Survey in the Western Region of the United States? and related phenological information for the period 1956-1992. State Climate Center Circular 2, 1-287 (1993
22. Caprio, J. M. Pattern of plant development in the western United States. Montana Agr. Exp. Sta. Bull. 607, 1-42 (1966
23. Rosemartin, A. H., et al. Organizing phenological data resources to inform natural resource conservation. Biological Conservation 173, 90-97 (2014
24. Schwartz, M. D. Phenology and springtime surface-layer change. Monthly weather review 120, 2570-2578 (1992
25. Schwartz, M. D. Examining the spring discontinuity in daily temperature ranges. Journal of Climate 9, 803-808 (1996
26. Ault, T. R., Schwartz, M. D., Zurita-Milla, R., Weltzin, J. F., & Betancourt, J. Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices. International Journal of Climate DOI: 10.1175/JCLI-D-14-00736.1 (In Press
27. McGill, R., Tukey, J. W., & Larsen, W. A. Variations of box plots. The American Statistician 32, 12-16 (1978
28. MehdiPoor, H., Zurita-Milla, R., & Kraak, M. J. in Geocomputation. 21-23 May 2015, Dallas TX, United States, 141-147 (2015
29. Van der Maaten, L., & Hinton, G. Visualizing data using t-SNE. Journal of Machine Learning Research 9, 85 (2008
30. Fraley, C., & Raftery, A. E. Model-based clustering, discriminant analysis, and density estimation. Journal of the American statistical Association 97, 611-631 (2002