02454nas a2200289   4500008004100000022001400041245011100055210006900166260001200235300001600247490000700263520153600270653001501806653001501821653003701836653002101873653002401894653003201918100002001950700001601970700002601986700002102012700001402033700002302047700001502070856007902085       2019                        eng d  a1558-842400aMeteorological connectivity from regions of high biodiversity within the McMurdo Dry Valleys of Antarctica0 aMeteorological connectivity from regions of high biodiversity wi  c11/2019  a2437 - 24520 v583 a<p>Meteorological connectivity between biological hot spots of the McMurdo Dry Valleys (MDVs) of Antarctica is thought to play a role in species distribution and abundance through the aeolian transport of bioaerosols. Understanding the potential role of such meteorological connectivity requires an understanding of near-surface wind flow within and between valley airsheds. To address this, we applied Lagrangian wind trajectory modeling to mesoscale (spatial resolution of ~1 km) weather model output to predict connectivity pathways, focusing on regions of high biodiversity. Our models produce maps of a likelihood metric of wind connectivity that demonstrate the synoptic and mesoscale dependence of connections between local, near-local, and nonlocal areas on wind transport, modulated by synoptic weather and topographic forcing. These connectivity areas can have spatial trends modulated by the synoptic weather patterns and locally induced topographically forced winds. This method is transferrable to other regions of Antarctica for broader terrestrial, coastal, and offshore ecological connectivity research. Also, our analysis and methods can inform better placement of aeolian dust and bioaerosol samplers in the McMurdo Dry Valleys, provide preliminary guidelines behind the meteorological controls of sediment transport and smaller particle distribution, and present quantifiable knowledge informing new hypotheses around the potential of wind acting as a physical driver for biological connectivity in the MDVs.</p>10aAntarctica10aatmosphere10abiosphere-atmosphere interaction10amesoscale models10amesoscale processes10anumerical analysis/modeling1 aKaturji, Marwan1 aKhan, Basit1 aSprenger, Michael, A.1 aDatta, Rajasweta1 aJoy, Kurt1 aZawar-Reza, Peyman1 aHawes, Ian  uhttps://journals.ametsoc.org/view/journals/apme/58/11/jamc-d-18-0336.1.xml