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1. Brokamp, C., Jandarov, R., Rao, M. B., LeMasters, G., & Ryan, P. (2017). Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches. Atmospheric Environment151, 1-11.
 
https://doi.org/10.1016/j.atmosenv.2016.11.066

2. Nguyen, T., Yu, X., Zhang, Z., Liu, M., & Liu, X. (2015). Relationship between types of urban forest and PM2. 5 capture at three growth stages of leaves. Journal of Environmental Sciences27, 33-41.
 
https://doi.org/10.1016/j.jes.2014.04.019

3. Brokamp, C., Jandarov, R., Hossain, M., & Ryan, P. (2018). Predicting daily urban fine particulate matter concentrations using a random forest model. Environmental science & technology52(7), 4173-4179.

https://doi.org/10.1021/acs.est.7b05381
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Determination of gross rates of amino acid production and immobilization indecomposing leaf litter by a novel15N isotope pool dilution technique bcoXtT50BaUAAAAA:c2PlbVPi3xX3O10_36ofGEPSINlyUhn_8ULeOqoffIvk3MPKkGQaAvGN_q1FgST8AVsox0ctTQ
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From the comfort zone to crown dieback: Sequence of physiological stress thresholds in mature European beech trees across progressive drought https://doi.org/10.1016/j.scitotenv.2020.141792 Volume 753,20 January 2021, 141792