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Title: Cannabis pollen dispersal across the United States
For the recently legalized US hemp industry (Cannabis sativa), cross-pollination between neighboring fields has become a significant challenge, leading to contaminated seeds, reduced oil yields, and in some cases, mandated crop destruction. As a step towards assessing hemp cross-pollination risk, this study characterizes the seasonal and spatial patterns in windborne hemp pollen dispersal spanning the conterminous United States (CONUS). By leveraging meteorological data obtained through mesoscale model simulations, we have driven Lagrangian Stochastic models to simulate wind-borne hemp pollen dispersion across CONUS on a county-by-county basis for five months from July to November, encompassing the potential flowering season for industrial hemp. Our findings reveal that pollen deposition rates escalate from summer to autumn due to the reduction in convective activity during daytime and the increase in wind shear at night as the season progresses. We find diurnal variations in pollen dispersion: nighttime conditions favor deposition in proximity to the source, while daytime conditions facilitate broader dispersal albeit with reduced deposition rates. These shifting weather patterns give rise to specific regions of CONUS more vulnerable to hemp cross-pollination.  more » « less
Award ID(s):
1922516
PAR ID:
10571303
Author(s) / Creator(s):
; ;
Publisher / Repository:
Nature Portfolio
Date Published:
Journal Name:
Scientific Reports
Volume:
14
Issue:
1
ISSN:
2045-2322
Subject(s) / Keyword(s):
Cannabis pollen dispersal Hemp cross-pollination pollen cross-pollination Windborne pollen transport Lagrangian Stochastic models LS models Mesoscale meteorological modeling Nonlinear dispersion modeling Convective and shear-driven turbulence Diurnal and seasonal pollen transport Environmental impact of hemp cultivation Agricultural risk assessment cross-pollination vulnerability risk assessment
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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