USA NPN National Phenology Network

Taking the Pulse of Our Planet

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Phenology Bibliography

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2018
Izquierdo-Verdiguier, Emma, Raul Zurita-Milla, Toby R Ault, and Mark D Schwartz. Development And Analysis Of Spring Plant Phenology Products: 36 Years Of 1-Km Grids Over The Conterminous Us. Agricultural And Forest Meteorology no. Volume 262. Agricultural And Forest Meteorology (2018): 34-41. doi:https://doi.org/10.1016/j.agrformet.2018.06.028.
Yost, JM, PW Sweeney, E Gilbert, G Nelson, R Guralnick, AS Gallinat, ER Ellwood, et al.. Digitization Protocol For Scoring Reproductive Phenology From Herbarium Specimens Of Seed Plants. Applications In Plant Science no. 6(2):e1022. Applications In Plant Science (2018). doi:10.1002/aps3.1022.
V.Gougherty, Andrew, Stephen R Keller, Anton Kruger, Cathlyn D Stylinski, Andrew J Elmore, and Matthew C Fitzpatrick. Estimating Tree Phenology From High Frequency Tree Movement Data. Agricultural And Forest Meteorology no. Volume 263. Agricultural And Forest Meteorology (2018): 217-224. doi:https://doi.org/10.1016/j.agrformet.2018.08.020.
Zhang, Xiaoyang, Lingling Liu, Yan Liu, Senthilnath Jayavelu, Jianmin Wang, Minkyu Moon, Geoffrey M Henebry, Mark A Friedl, and Crystal B Schaaf. Generation And Evaluation Of The Viirs Land Surface Phenology Product. Remote Sensing Of Environment no. Volume 216. Remote Sensing Of Environment (2018): 212-229. doi:https://doi.org/10.1016/j.rse.2018.06.047.
Feldman, Richard E, Irma Žemaitė, and Abraham J Miller-Rushing. How Training Citizen Scientists Affects The Accuracy And Precision Of Phenological Data. International Journal Of Biometeorology. International Journal Of Biometeorology (2018): 1-15. doi:https://doi.org/10.1007/s00484-018-1540-4.
Hufkens, K., D. Basler, T. Milliman, E. K Melaas, and A. D Richardson. An Integrated Phenology Modelling Framework In R. Methods In Ecology & Evolution. Methods In Ecology & Evolution (2018). doi:10.1111/2041-210X.12970.
Park, Isaac W, and Susan J Mazer. Overlooked Climate Parameters Best Predict Flowering Onset: Assessing Phenological Models Using The Elastic Net. Global Change Biology. Global Change Biology (2018). doi:https://doi.org/10.1111/gcb.14447.
Harrer, Laurie EF, and Taal Levi. The Primacy Of Bears As Seed Dispersers In Salmon-Bearing Ecosystems. Ecosphere no. 9(1). Ecosphere (2018). doi:e02076. 10.1002/ecs2.2076.
Peng, Dailiang, Chaoyang Wu, Xiaoyang Zhang, Le Yu, Alfredo R Huete, Fumin Wang, Shezhou Luo, Xinjie Liu, and Helin Zhang. Scaling Up Spring Phenology Derived From Remote Sensing Images. Agricultural And Forest Meteorology no. 256-257. Agricultural And Forest Meteorology (2018). doi:https://doi.org/10.1016/j.agrformet.2018.03.010.
Carrillo, Carlos M, Toby R Ault, and Daniel S Wilks. Spring Onset Predictability In The North American Multi‐Model Ensemble. Journal Od Geophysical Research - Atmospheres. Journal Od Geophysical Research - Atmospheres (2018). doi:https://doi.org/10.1029/2018JD028597.
2017
Zurita-Milla, R., Romulo Goncalves, E. Izquierdo-Verdiguier, F.O. Ostermann, P. Soille, and P.G. Marchetti. 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. Proceedings Of The 2017 Conference On Big Data From Space (Bids '17), 28-30 November 2017, Toulouse, France. Toulouse, France: Ispra, 2017. https://research.utwente.nl/en/publications/exploring-vegetation-phenology-at-continental-scales-linking-temp.
Zhu, Likai, Jijun Meng, Feng Li, and Nanshan You. Predicting The Patterns Of Change In Spring Onset And False Springs In China During The Twenty-First Century. International Journal Of Biometeorology. International Journal Of Biometeorology (2017): 1-16. doi:10.1007.

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