USA NPN National Phenology Network

Taking the Pulse of Our Planet

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Peer-reviewed Publications

The USA-NPN has contributed to the development of over 100 peer-reviewed publications. Collectively the models, observational data, and gridded data have served to advance the science of phenology by increasing understanding of phenological patterns and climatic drivers of plants and animals at local to continental scales.

Use the filter below to explore these results by year(s) and/or articles that either Uses the USA-NPN Contemporary or Legacy Data, or Describes or Uses the USA-NPN Program.

  1. D. Peng, C. Wu, X. Zhang, L. Yu, A.R. Huete, F. Wang, S. Luo, X. Liu, H. Zhang. 2018. Scaling up spring phenology derived from remote sensing images. Agricultural and Forest Meteorology 256-257 https://doi.org/10.1016/j.agrformet.2018.03.010.
  2. C.M. Carrillo, T. Ault, D.S. Wilks. 2018. Spring onset predictability in the North American Multi‐Model Ensemble. Journal of Geophysical Research - Atmospheres https://doi.org/10.1029/2018JD028597.
  3. E. Izquierdo-Verdiguier, R. Zurita-Milla, T. Ault, M.D. Schwartz. 2018. Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US. Agricultural and Forest Meteorology Volume 262 34-41. https://doi.org/10.1016/j.agrformet.2018.06.028.
  4. X. Zhang, L. Liu, Y. Liu, S. Jayavelu, J. Wang, M. Moon, G.M. Henebry, M.A. Friedl, C.B. Schaaf. 2018. Generation and evaluation of the VIIRS land surface phenology product. Remote Sensing of Environment Volume 216 212-229. https://doi.org/10.1016/j.rse.2018.06.047.
  5. S. Ren, X. Chen, W. Lang, M.D. Schwartz. 2018. Climatic controls of the spatial patterns of vegetation phenology in mid-latitude grasslands of the Northern Hemisphere. American Geophysical Union https://doi.org/10.1029/2018JG004616 .
  6. I.W. Park, S.J. Mazer. 2018. Overlooked climate parameters best predict flowering onset: assessing phenological models using the elastic net. Global Change Biology https://doi.org/10.1111/gcb.14447.
  7. E.K. Waller, T.M. Crimmins, J.J. Walker, E.E. Posthumus, J.F. Weltzin. 2018. Differential changes in the onset of spring across US National Wildlife Refuges and North American migratory bird flyways. PLOS One 13(9) https://doi.org/10.1371/journal.pone.0202495.
  8. H. Mehdipoor, R. Zurita-Milla, E. Izquierdo-Verdiguier, J.L. Betancourt. 2018. Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States. International Journal of Climatology 1-11. https://doi.org/10.1002/joc.5857.
  9. Y. Xie, D.L. Civco, J.A. Silander. 2018. Species-specific spring and autumn leaf phenology captured by time-lapse digital cameras. Ecosphere 9(1) https://doi.org/10.1002/ecs2.2089.
  10. L. D'Orangeville, J. Maxwell, D. Kneeshaw, N. Pederson, L. Duchesne, T. Logan, D. Houle, D. Arseneault, C.M. Beier, D.A. Bishop, D. Druckenbrod, S. Fraver, F. Girard, J. Halman, C. Hansen, J.L. Hart, H. Hartmann, M. Kaye, D. Leblanc, S. Manzoni, R. Ouimet, S. Rayback, C.R. Rollinson, R.P. Phillips. 2018. Drought timing and local climate determine the sensitivity of eastern temperate forests to drought. Global Change Biology https://doi.org/10.1111/gcb.14096.
  11. A.F. Howard. 2018. Asclepias Syriaca (Common Milkweed) flowering date shift in response to climate change. Scientific Reports 8 https://doi.org/10.1038/s41598-018-36152-2.
  12. L. Liang. 2018. A spatially explicit modeling analysis of adaptive variation in temperate tree phenology. Agricultural and Forest Meteorology 266-267 73-86. https://doi.org/10.1016/j.agrformet.2018.12.004.
  13. S.D. Taylor, J.M. Meiners, K. Riemer, M.C. Orr, E.P. White. 2018. Comparison of large‐scale citizen science data and long‐term study data for phenology modeling. Ecology https://doi.org/10.1002/ecy.2568.