Vermont EPSCoR Publications and Products


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Journal Article
Del Rossi G, Hecht JS, Zia A. A mixed-methods analysis for improving farmer participation in agri-environmental payments for ecosystem services in Vermont, USA. Ecosystem Services [Internet]. 2021 ;47:101223. Available from: https://www.sciencedirect.com/science/article/pii/S2212041620301650
Zia A, Schroth AW, Hecht JS, Isles PDF, Clemins PJ, Turnbull S, Bitterman P, Tsai Y-S, Mohammed IN, Bucini G, et al. Climate change‐legacy phosphorus synergy hinders lake response to aggressive water policy targets. Earth's Future [Internet]. 2022 ;10(5):e2021EF002234. Available from: https://onlinelibrary.wiley.com/doi/10.1029/2021EF002234
Hecht JS, Vogel RM, McManamay RA, Kroll CN, J Reed M. Decision trees for incorporating hypothesis tests of hydrologic alteration into hydropower-ecosystem tradeoffs. Journal of Water Resources Planning and Management [Internet]. 2020 ;146(5). Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0001184
Hecht JS, Lacombe G, Arias ME, Dang TDuc, Piman T. Hydropower dams of the Mekong River basin: A review of their hydrological impacts. Journal of Hydrology [Internet]. 2019 ;568(January 2019):285 - 300. Available from: https://www.sciencedirect.com/science/article/pii/S0022169418308072
Hecht JS, Kirshen PH. Minimizing Urban Floodplain Management Regrets under Deeply Uncertain Climate Change. Journal of Water Resources Planning and Management [Internet]. 2018 ;145(2):04018096. Available from: https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0001012?src=recsys
Hecht JS, Zia A, Clemins PJ, Schroth AW, Winter JM, Oikonomou PD, Rizzo DM. Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
Hecht JS, Vogel RM. Updating urban design floods for changes in central tendency and variability using regression. Advances in Water Resources [Internet]. 2020 ;136:103484. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0309170819302106