Danilo Dragoni, Ph.D.
Affiliations: | 2003 | Cornell University, Ithaca, NY, United States |
Area:
Plant Physiology, Agronomy Agriculture, Botany Biology, BiogeochemistryGoogle:
"Danilo Dragoni"Parents
Sign in to add mentor| Alan N. Lakso | grad student | 2003 | Cornell | |
| (Measuring and modeling water fluxes in apple orchards and vineyards in the humid climate of the northeastern United States.) | ||||
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Publications
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| El Masri B, Rahman AF, Dragoni D. (2019) Evaluating a new algorithm for satellite-based evapotranspiration for North American ecosystems: Model development and validation Agricultural and Forest Meteorology. 268: 234-248 |
| Yi K, Dragoni D, Phillips RP, et al. (2017) Dynamics of stem water uptake among isohydric and anisohydric species experiencing a severe drought. Tree Physiology |
| Roman DT, Novick KA, Brzostek ER, et al. (2015) The role of isohydric and anisohydric species in determining ecosystem-scale response to severe drought. Oecologia. 179: 641-54 |
| Brzostek ER, Dragoni D, Brown ZA, et al. (2015) Mycorrhizal type determines the magnitude and direction of root-induced changes in decomposition in a temperate forest. The New Phytologist. 206: 1274-82 |
| Keenan TF, Hollinger DY, Bohrer G, et al. (2014) Keenan et al. reply. Nature. 507: E2-3 |
| Sims DA, Brzostek ER, Rahman AF, et al. (2014) An improved approach for remotely sensing water stress impacts on forest C uptake. Global Change Biology. 20: 2856-66 |
| Brzostek ER, Dragoni D, Schmid HP, et al. (2014) Chronic water stress reduces tree growth and the carbon sink of deciduous hardwood forests. Global Change Biology. 20: 2531-9 |
| Keenan TF, Hollinger DY, Bohrer G, et al. (2013) Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature. 499: 324-7 |
| Wu C, Chen JM, Black TA, et al. (2013) Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn Global Ecology and Biogeography. 22: 994-1006 |
| Rahman AF, Dragoni D, Didan K, et al. (2013) Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data Remote Sensing of Environment. 130: 96-107 |