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. S. Ren, X. Chen, W. Lang, M. 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 .
  2. Y. Xie, D.L. Civco, J.A. Silander. 2018. Species-specific spring and autumn leaf phenology captured by time-lapse digital cameras. Ecosphere https://doi.org/10.1002/ecs2.2089.
  3. A. V.Gougherty, S.R. Keller, A. Kruger, C.D. Stylinski, A.J. Elmore, M.C. Fitzpatrick. 2018. Estimating tree phenology from high frequency tree movement data. Agricultural and Forest Meteorology 217-224. https://doi.org/https://doi.org/10.1016/j.agrformet.2018.08.020.
  4. 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.
  5. 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/https://doi.org/10.1111/gcb.14447.
  6. J.M. Yost, P.W. Sweeney, E. Gilbert, G. Nelson, R. Guralnick, A.S. Gallinat, E.R. Ellwood, N. Rossington, C.G. Willis, S.D. Blum, R.L. Walls, E.M. Haston, M.W. Denslow, C.M. Zohner, A.B. Morris, B.J. Stucky, J.R. Carter, D.G. Baxter, K. Bolmgren, E.G. Denny, E. Dean, K.D. Pearson, C.C. Davis, B.D. Mischler, P.S. Soltis, S.J. Mazer. 2018. Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants. Applications in Plant Science https://doi.org/10.1002/aps3.1022.
  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 https://doi.org/ https://doi.org/10.1371/journal.pone.0202495.
  8. 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 https://doi.org/https://doi.org/10.1016/j.agrformet.2018.03.010.
  9. 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.
  10. R.E. Feldman, I. Žemaitė, A.J. Miller-Rushing. 2018. How training citizen scientists affects the accuracy and precision of phenological data. International Journal of Biometeorology 1-15. https://doi.org/https://doi.org/10.1007/s00484-018-1540-4.
  11. C.M. Carrillo, T.R. Ault, D.S. Wilks. 2018. Spring onset predictability in the North American Multi‐Model Ensemble. Journal od Geophysical Research - Atmospheres https://doi.org/https://doi.org/10.1029/2018JD028597.
  12. E. Izquierdo-Verdiguier, R. Zurita-Milla, T.R. 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 34-41. https://doi.org/https://doi.org/10.1016/j.agrformet.2018.06.028.
  13. K. Hufkens, D. Basler, T. Milliman, E.K. Melaas, A.D. Richardson. 2018. An integrated phenology modelling framework in R. Methods in Ecology & Evolution https://doi.org/10.1111/2041-210X.12970.
  14. 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 212-229. https://doi.org/https://doi.org/10.1016/j.rse.2018.06.047.
  15. L.E.F. Harrer, T. Levi. 2018. The primacy of bears as seed dispersers in salmon-bearing ecosystems. Ecosphere https://doi.org/e02076. 10.1002/ecs2.2076.
  16. G.O.F.C. -GOLD, G.E.O. BON.. 2017. A Sourcebook of Methods and Procedures for Monitoring Essential Biodiversity Variables in Tropical Forests with Remote Sensing. .
  17. D.M. Browning, J.W. Karl, D. Morin, A.D. Richardson, C.E. Tweedie. 2017. Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem. Remote Sensing https://doi.org/10.3390/rs9101071.
  18. D. Peng, C. Wu, C. Li, X. Zhang, Z. Liu, H. Ye, S. Luo, X. Liu, Y. Hu, B. Fang. 2017. Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations. Ecological Indicators 323-326. https://doi.org/http://dx.doi.org/10.1016/j.ecolind.2017.02.024.
  19. L. Zhu, J. Meng, F. Li, N. You. 2017. Predicting the patterns of change in spring onset and false springs in China during the twenty-first century. International Journal of Biometeorology 1-16. https://doi.org/10.1007.
  20. K.A. Gerst, N.L. Rossington, S.J. Mazer. 2017. Phenological responsiveness to climate differs among four species of Quercus in North America. Journal of Ecology https://doi.org/10.1111/1365-2745.12774.
  21. S. Belmecheri, F. Babst, A.R. Hudson, J. Betancourt, V. Trouet. 2017. Northern Hemisphere Jet Stream Position Indices as Diagnostic Tools for Climate and Ecosystem Dynamics . Earth Interactions https://doi.org/10.1175.
  22. G. Filippa, E. Cremonese, M. Migliavacca, M. Galvagno, O. Sonnentag, E. Humphreys, K. Hufkens, Y. Ryu, J. Verfaillie, U.Morra di Cella, A.D. Richardson. 2017. NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types. Agricultural and Forest Meteorology .
  23. D.C. McKinley, A.J. Miller-Rushing, H.L. Ballard, R. Bonney, H. Brown, D.M. Evans, R.A. French, T.B. Phillips, S.F. Ryan, L.A. Shanley, J.L. Shirk, K.F. Stepenuck, J.F. Weltzin, A. Wiggins, O.D. Boyle, R.D. Briggs, S.F. Chapin, D.A. Hewitt, P.W. Preuss, M.A. Soukup. 2017. Citizen science can improve conservation science, natural resource management, and environmental protection. Biological Conservation 15-28. .
  24. W.D. Pearse, C.C. Davis, D.W. Inouye, R.B. Primack, J. Davies. 2017. A statistical estimator for determining the limits of contemporary and historic phenology. Nature Ecology & Evolution 1876–1882. https://doi.org/doi:10.1038/s41559-017-0350-0.
  25. K.L. Paxton, F.R. Moore. 2017. Connecting the dots: Stopover strategies of an intercontinental migratory songbird in the context of the annual cycle. Ecology and Evolution https://doi.org/10.1002/ece3.3227.
  26. E. Stancioff, B. Bisson, S. Randall, J. Muhlin, C. McDonough, S. Gallo. 2017. Signs of the Seasons: A New England Phenology Program. Maine Policy Review 19-26. .
  27. D. Peng, X. Zhang, C. Wu, W. Huang, A. Gonsamo, A.R. Huete, K. Didan, B. Tan, X. Liu, B. Zhang. 2017. Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. Agricultural and Forest Meteorology 33-46. https://doi.org/10.1016.
  28. K.M. Yule, J.L. Bronstein. 2017. Reproductive ecology of a parasitic plant differs by host species: vector interactions and the maintenance of host races. Oecologia 1-12. https://doi.org/https://doi.org/10.1007/s00442-017-4038-6.
  29. R. Zurita-Milla, R. Goncalves, E. Izquierdo-Verdiguier, F.O. Ostermann, P. Soille, P.G. Marchetti. 2017. Exploring Vegetation Phenology At Continental Scales : Linking Temperature-Based Indices And Land Surface Phenological Metrics. Proceedings of the 2017 conference on big data from space (BiDS '17), 28-30 November 2017, Toulouse, France 63-66. .
  30. T.M. Crimmins, M.A. Crimmins, K.L. Gerst, A.H. Rosemartin, J.F. Weltzin. 2017. USA National Phenology Network’s volunteer-contributed observations yield predictive models of phenological transitions. PLOS One https://doi.org/10.1371.
  31. J.Chih Mun Sha, S.Chin Chua, P.Ting Chew, H. Ibrahim, H.Keong Lua, T.Kwan Fung, P. Zhang. 2017. Small-scale variability in a mosaic tropical rainforest influences habitat use of long-tailed macaques. Primates 1-9. https://doi.org/https://doi.org/10.1007/s10329-017-0630-y.
  32. R. Wang, J.A. Gamon, R.A. Montgomery, P.A. Townsend, A.I. Zygielbaum, K. Bitan, D. Tilman, J. Cavender-Bares. 2016. Seasonal Variation in the NDVI–Species Richness Relationship in a Prairie Grassland Experiment (Cedar Creek). Remote Sensing https://doi.org/10.3390/rs8020128.
  33. A. Verger, I. Filella, F. Baret, J. Peñuelas. 2016. Vegetation baseline phenology from kilometric global LAI satellite products. Remote Sensing of Environment 1-14. https://doi.org/ doi:10.1016/j.rse.2016.02.057.
  34. I.W. Park. 2016. Timing the bloom season: a novel approach to evaluating reproductive phenology across distinct regional flora. Landscape Ecology 1567–1579. https://doi.org/https://doi.org/10.1007/s10980-016-0339-0.
  35. X. Wu, R. Zurita-Milla, M.J. Kraak. 2016. A novel analysis of spring phenological patterns over Europe based on co-clustering. Journal of Geophysical Resources Biogeosciences https://doi.org/10.1002/2015JG003308.
  36. A.J. Elmore, C.D. Stylinski, K. Pradhan. 2016. Synergistic Use of Citizen Science and Remote Sensing for Continental-Scale Measurements of Forest Tree Phenology. Remote Sensing https://doi.org/doi:10.3390/rs8060502.
  37. S.C. Elmendorf, K.D. Jones, B.I. Cook, J.M. Diez, C.A.F. Enquist, R.A. Hufft, M.O. Jones, S.J. Mazer, A.J. Miller-Rushing, D.J.P. Moore, M.D. Schwartz, J.F. Weltzin. 2016. The plant phenology monitoring design for The National Ecological Observatory Network. EcoSphere https://doi.org/10.1002/ecs2.1303.
  38. Z. Labe, T. Ault, R. Zurita-Milla. 2016. Identifying anomalously early spring onsets in the CESM large ensemble project. Climate Dynamics 1-18. https://doi.org/ 10.1007/s00382-016-3313-2.
  39. J.F. Kelly, K.G. Horton, P.M. Stepanian, K.M. de Buers, T. Fagin, E.S. Bridge, P.B. Chilson. 2016. Novel measures of continental-scale avian migration phenology related to proximate environmental cues. Ecosphere https://doi.org/10.1002/ecs2.1434.
  40. C.S.A. Wallace, J.J. Walker, S.M. Skirvin, C. Patrick-Birdwell, J.F. Weltzin, H. Raichle. 2016. Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data. Remote Sensing 524. https://doi.org/10.3390/rs8070524.
  41. W.B. Monahan, A. Rosemartin, K.L. Gerst, N.A. Fisichelli, T. Ault, M.D. Schwartz, J.E. Gross, J.F. Weltzin. 2016. Climate change is advancing spring onset across the U.S. national park system. EcoSphere https://doi.org/10.1002/ecs2.1465.
  42. A.L. Kern, G.H. Roehrig, D. Bhattacharya, J.Y. Wang, F.A. Finley, B.J. Reynolds, Y. Nam, M.P. Mueller, D.J. Tippins. 2015. Drawing on Place and Culture for Climate Change Education in Native Communities. EcoJustice, Citizen Science and Youth Activism, Environmental Discourses in Science Education 121-138. https://doi.org/10.1007/978-3-319-11608-2_8.
  43. K. Youssefel, M. Mouaadamine, M. Achraf, N. Boubker, M. Elhoussinee. 2015. Flowering and fruiting phenology, and physico-chemical characteristics of 2-year-old plants of six species of Opuntia from eight regions of Morocco. Journal of Horticultural Science & Biotechnology 682–688. .
  44. T. Ault, R. Zurita-Milla, M.D. Schwartz. 2015. A Matlab toolbox for calculating spring indices from daily meteorological data. Computers and Geosciences 46–53. https://doi.org/10.1016.
  45. M.L. McCormack, K.P. Gaines, M. Pastore, D.M. Eissenstat. 2015. Early season root production in relation to leaf production among six diverse temperate tree species. Plant Soil .
  46. A.H. Rosemartin, E.G. Denny, J.F. Weltzin, L. Marsh, B.E. Wilson, H. Mehdipoor, R. Zurita-Milla, M.D. Schwartz. 2015. Lilac and honeysuckle phenology data 1956-2014. Nature Scientific Data https://doi.org/10.1038/sdata.2015.38.
  47. Y. Fu, S. Piao, Y. Vitasse, H. Zhao, H.J. De Boeck, Q. Liu, U. Weber, H. Hanninen, I.A. Janssens. 2015. Increased heat requirement for leaf flushing in temperate woody species over 1980-2012: effects of chilling, precipitation and insolation. Global Change Biology .
  48. D. Medvigy, S.Hee Kim, J. Kim, M.C. Kafatos. 2015. Dynamically downscaling predictions for deciduous tree leaf emergence in California under current and future climate. International Journal of Biometeorology https://doi.org/DOI 10.1007/s00484-015-1086-7.
  49. D.C. McKinley, A.J. Miller-Rushing, H.L. Ballard, R.E. Bonney, H. Brown, D.M. Evans, R.A. French, J.K. Parrish, T.B. Phillips, S.F. Ryan, L.A. Shanley, J.L. Shirk, K.F. Stepenuck, J.F. Weltzin, A. .Wiggins, O.D. Boyle, R.D. Briggs, S.F. Chapin, D.A. Hewitt, P.W. Preuss, M.A. Soukup. 2015. Investing in Citizen Science Can Improve Natural Resource Management and Environmental Protection. Issues in Ecology 1-28. .
  50. E.M. Wood, J.L. Kellermann. 2015. Phenological Synchrony and Bird Migration: Changing Climate and Seasonal Resources in North America. Studies in Avian Biology 246. .
  51. K.A. Gerst, J. Kellerman, C. Enquist, A.H. Rosemartin, E.G. Denny. 2015. Estimating the onset of spring from a complex phenology database: Trade-offs across geographic scales. Journal of Biometeorology .
  52. D.M. Browning, A. Rango, J.W. Karl, C.M. Laney, E.R. Vivoni, C.E. Tweedie. 2015. Emerging technological and cultural shifts advancing drylands research and management. Frontiers in Ecology and the Environment 52-60. https://doi.org/10.1890/140161.
  53. C. Hallman, H. Arnott. 2015. Morphological and Physiological Phenology of Pinus longaeva in the White Mountains of California. Tree Ring Research 1-12. https://doi.org/http://dx.doi.org/10.3959/1536-1098-71.1.1.
  54. J.L. Kellermann, C.A.F. Enquist, D.L. Humple, N.E. Seavy, A. Rosemartin, R.L. Cormier, L.A. Barnett. 2015. A Bird’s-Eye View of the USA National Phenology Network, an Off-the-Shelf Monitoring Program. Phenological Synchrony and Bird Migration: Changing Climate and Seasonal Resources in North America 47-60. .
  55. M.B. Cleary, K.J. Naithani, B.E. Ewers, E. Pendall. 2015. Upscaling CO2 fluxes using leaf, soil and chamber measurements across successional growth stages in a sagebrush steppe ecosystem. Journal of Arid Environments 43-51. https://doi.org/10.1016/j.jaridenv.2015.05.013.
  56. P.D. Glynn, T. Owen. 2015. Review of the USA National Phenology Network. https://doi.org/10.3133/cir1411.
  57. shilong Piao, J. Tan, A. Chen, Y.H. Fu, P. Ciais, Q. Liu, I.A. Janssens, S. Vicca, Z. Zeng, S.J. Jeong, Y. Li, R.B. Myneni, S. Peng, M. Shen, J. Peñuelas. 2015. Leaf onset in the northern hemisphere triggered by daytime temperature. Nature Communications https://doi.org/doi:10.1038/ncomms7911.
  58. A.J. Allstadt, S.J. Vavrus, P.J. Heglund, A.M. Pidgeon, W.E. Thogmartin, V.C. Radeloff. 2015. Spring plant phenology and false springs in the conterminous US during the 21st century. Environmental Research Letters https://doi.org//10.1088/1748-9326/10/10/104008.
  59. X. Yue, N. Unger, T.F. Keenan, X. Zhang, C.S. Vogel. 2015. Probing the past 30 year phenology trend of US deciduous forests. Biogeosciences 4693–4709. https://doi.org/10.5194/bg-12-4693-2015.
  60. E.K. Melaas, M.A. Friedl, A.D. Richardson. 2015. Multi-scale modeling of spring phenology across Deciduous Forests in the Eastern United States. Global Change Biology https://doi.org/10.1111/gcb.13122.
  61. S.J. Mazer, K.L. Gerst, E.R. Matthews, A. Evenden. 2015. Species-specific phenological responses to winter temperature and precipitation in a water-limited ecosystem. Ecosphere .
  62. H. Mehdipoor, R. Zurita-Milla, A. Rosemartin, K.L. Gerst, J.F. Weltzin. 2015. Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study. PLOS One https://doi.org/ 10.1371/journal.pone.0140811.
  63. T. Ault, M.D. Schwartz, R.Raul Zurita-Milla, J.F. Weltzin, J.L. Betancourt. 2015. Trends and natural variability of spring onset in the coterminous United States as evaluated by a new gridded dataset of spring indices. Journal of Climate .
  64. K.K. Fuccillo, T.M. Crimmins, C.E. deRivera, T.S. Elder. 2014. Assessing accuracy in volunteer-based plant phenology monitoring. International Journal of Biometeorology https://doi.org/10.1007/s00484-014-0892-7.
  65. E.G. Denny, K.L. Gerst, A.J. Miller-Rushing, G.L. Tierney, T.M. Crimmins, C. Enquist, P. Guertin, A.H. Rosemartin, M.D. Schwartz, K.A. Thomas, J.F. Weltzin. 2014. Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications. International Journal of Biometeorology 591-601. https://doi.org/10.1007/s00484-014-0789-5.
  66. A.H. Rosemartin, T.M. Crimmins, C. Enquist, K.L. Gerst, J.L. Kellerman, E.E. Posthumus, J.F. Weltzin, E.G. Denny, P. Guertin, L.R. Marsh. 2014. Organizing Phenological Data Resources to Inform Natural Resource Conservation. Biological Conservation .
  67. E.R. Matthews, K.L. Gerst, S.J. Mazer, C. Brigham, A. Evenden, A. Forrestel, B. Haggerty, S. Haultain, J. Hoines, S. Samuels, F. Villalba. 2014. Natural Resource Report - California Phenology Project (CPP) plant phenological monitoring protocol: Version 1. Natural Resource Report .
  68. D.S. Chapman, T. Haynes, S. Beal, F. Essl, amesM. Bullock. 2014. Phenology predicts the native and invasive range limits of common ragweed. Global Change Biology 192–202. https://doi.org/10.1111/gcb.12380.
  69. A.G. Peterson, J.T. Abatzoglou. 2014. Observed changes in false springs over the contiguous United States. Geophysical Research Letters 2156–2162. https://doi.org/10.1002/2014GL059266.
  70. T.M. Crimmins, J.F. Weltzin, A. Rosemartin, E.M. Surina, L.R. Marsh, E.G. Denny. 2014. Targeted campaign increases activity among participants in Nature’s Notebook, a citizen science project.. Natural Sciences Education 64-72. .
  71. S.J. Jeong, D. Medvigy. 2014. Macroscale prediction of autumn leaf coloration throughout the continental United States. Global Ecology and Biogeography https://doi.org/10.1111/geb.12206.
  72. P.L. Warren, L.A. Barnett. 2014. Phenology: Using Phenology as a tool for Education, Research, and Understanding Environmental Change. University of Arizona, College of Agriculture and Life Sciences Cooperative Extension .
  73. E.S. Euskirchen, T.B. Carman, A.D. McGuire. 2013. Changes in the structure and function of northern Alaskan ecosystems when considering variable leaf-out times across groupings of species in a dynamic vegetation model. Global Change Biology https://doi.org/10.1111/gcb.12392.
  74. G.J. McCabe, J.L. Betancourt, G.T. Pederson, M. Schwartz. 2013. Variability Common to First Leaf Dates and Snowpack in the Western Conterminous United States. American Meteorological Society https://doi.org/10.1175/2013EI000549.1.
  75. B. Haggerty, A. Hove, S.J. Mazer, L. Barnett. 2013. Flight of the pollinators: A repeatable hands-on exploration of plant phenology from a pollinator's perspective. Birds, Butterflies, Bullfrogs and Beyond: Bring Biology to Life through Citizen Science .
  76. B. Haggerty, A. Hove, S.J. Mazer, L. Barnett. 2013. Flight of the Pollinators: Plant phenology from a pollinator's perspective. Citizen Science: 15 Lessons that bring biology to life .
  77. S.J. Jeong, D. Medvigy, E. Shevliakova, S. Malyshev. 2013. Predicting changes in temperate forest budburst using continental-scale observations and models. Geophysical Research Letters 1-6. https://doi.org/10.1029/2012Gl054431.
  78. D. Medvigy, S.J. Jeong, K.L. Clark, N.S. Skowronski, K.V.R. Schäfer. 2013. Effects of seasonal variation of photosynthetic capacity on the carbon fluxes of a temperate deciduous forest. Journal of Geophysical Research: Biogeosciences https://doi.org/10.1002/2013JG002421.
  79. E.R. Matthews, K.L. Gerst, S.J. Mazer, C. Bingham, A. Evenden, A. Forrestel, B. Haggerty, S. Haultain, J. Hoines, S. Samuels, F. Villalba. 2013. California Phenology Project: Report on pilot phase activities, 2010-2013. Natural Resource Report .
  80. B.P. Haggerty, E.R. Matthews, K.L. Gerst, A.G. Evenden, S.J. Mazer. 2013. The California Phenology Project: Tracking Plant Responses to Climate Change. BioOne, Madroño 1-3. https://doi.org/http://dx.doi.org/10.3120/0024-9637-60.1.1.
  81. E.E. Posthumus, L.A. Barnett, T.M. Crimmins, G.R. Kish, W. Sheftall, E. Stancioff, P. Warren. 2013. Nature's Notebook and Extension: Engaging Citizen-Scientists and 4-H Youth to Observe a Changing Environment. Journal of Extension .
  82. T.R. Ault, G.M. Henebry, K.M. de Beurs, M.D. Schwartz, J.L. Betancourt, D. Moore. 2013. The False Spring of 2012, Earliest in North American Record. EOS 181-182. https://doi.org/10.1002/2013EO200001.
  83. L. Liang, M. Schwartz. 2013. Testing a growth efficiency hypothesis with continental-scale phenological variations of common and cloned plants. International Journal of Biometeorology https://doi.org/DOI 10.1007/s00484-013-0691-6.
  84. G. Tierney, B. Mitchell, A. Miller-Rushing, J. Katz, E. Denny, C. Brauer, T. Donovan, A.D. Richardson, M. Toomey, A. Kozlowski, J. Weltzin, K. Gerst, E. Sharron, O. Sonnentag, F. Dieffenbach. 2013. Phenology monitoring protocol: Northeast Temperate Network. National Park Service .
  85. C. Enquist, A. Rosemartin, M.D. Schwartz. 2012. Identifying and prioritizing phenological data products and tools. Eos Meeting Reports .
  86. C. Brundson, L. Comber. 2012. Assessing the changing flowering date of the common lilac in North America: a random coefficient model approach. GeoInformatica 675-690. .
  87. M.D. Schwartz, J.L. Betancourt, J.F. Weltzin. 2012. From Caprio’s Lilacs to the USA National Phenology Network. Frontiers in Ecology and the Environment .
  88. V.P. Nolan, J.F. Weltzin. 2011. Phenology for Science, Resource Management, Decision Making, and Education. EOS .
  89. J.G. McCabe, T.R. Ault, B.I. Cook, J.L. Bentancourt, M.D. Schwartz. 2011. Influences of the El Niño Southern Oscillation and the Pacific Decadal Oscillation on the timing of the North American spring. International Journal of Climatology https://doi.org/10.1002/joc.3400.
  90. M.D. Schwartz, B.C. Reed. 2010. Surface phenology and satellite sensor-derived onset of greenness: an initial comparison. International Journal of Remote Sensing 20 3451-3457. .
  91. M.D. Schwartz, J.M. Hanes. 2010. Intercomparing Multiple Measures of the Onset of Spring in Eastern North America. International Journal of Climatology 1614-1626. .
  92. M.A. White, K.M. Beurs, K. Didan, D.W. Inouye, A.D. Richardson, O.P. Jensen, J. O’Keefe, G. Zhang, R.R. Nemani, W.J.D. Leeuwen, J.F. Brown, A. Wit, M. Schaepman, X. Lin, M. Dettinger, A. Bailey, J. Kimball, M.D. Schwartz, D.D. Baldocchi, J.T. Lee, W.K. Lauenroth. 2009. Intercomparison, Interpretation, and Assessment of Spring Phenology in North America Estimated from Remote Sensing for 1982 to 2006. Global Change Biology 2335-2359. .
  93. M.D. Schwartz, J.M. Hanes. 2009. Continental-scale phenology: warming and chilling. International Journal of Climatology 9999 n/a. .
  94. K. Hayhoe, C. Wake, T.G. Huntington, L. Luo, M.D. Schwartz, J. Sheffield, E. Wood, B. Anderson, J. Bradbury, A. DeGaetano, T.J. Troy, D. Wolfe. 2007. Past and Future Changes in Climate and Hydrological Indicators in the U.S. Northeast. Climate Dynamics 381-407. .
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