USA NPN National Phenology Network

Taking the Pulse of Our Planet

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Phenology Bibliography

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2018
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.
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.
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.
Pearse, William D, Charles C Davis, David W Inouye, Richard B Primack, and Jonathan T. Davies. A Statistical Estimator For Determining The Limits Of Contemporary And Historic Phenology. Nature Ecology & Evolution no. 1. Nature Ecology & Evolution (2017): 1876–1882. doi:doi:10.1038/s41559-017-0350-0.

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