2021
DOI: 10.1073/pnas.2021646118
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Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest

Abstract: Mountain ranges generate clouds, precipitation, and perennial streamflow for water supplies, but the role of forest cover in mountain hydrometeorology and cloud formation is not well understood. In the Luquillo Experimental Forest of Puerto Rico, mountains are immersed in clouds nightly, providing a steady precipitation source to support the tropical forest ecosystems and human uses. A severe drought in 2015 and the removal of forest canopy (defoliation) by Hurricane Maria in 2017 created natural experiments t… Show more

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Cited by 14 publications
(11 citation statements)
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“…We also considered the proportion of the watershed above 700 m asl, calculated from the Puerto Rico Coast Digital Elevation Model (DEM) (NOAA, 2006), to account for the relationships between increased elevation and moisture that may not be represented by the rainfall data. Cloud condensation begins at approximately 700 m in Puerto Rico (Bassiouni et al, 2017; Scholl et al, 2021; Van Beusekom et al, 2017) and cloud immersion causes actual evapotranspiration rates to be lower above this elevation; in addition, MSWEP rainfall for high elevation wet sites may be underestimated (Beck et al, 2019). Using the DEM, we also calculated watershed slope steepness in the study area (mean watershed slopes of 11–23 degrees), however, slope displayed high collinearity with forest cover and could not be included in our analysis.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We also considered the proportion of the watershed above 700 m asl, calculated from the Puerto Rico Coast Digital Elevation Model (DEM) (NOAA, 2006), to account for the relationships between increased elevation and moisture that may not be represented by the rainfall data. Cloud condensation begins at approximately 700 m in Puerto Rico (Bassiouni et al, 2017; Scholl et al, 2021; Van Beusekom et al, 2017) and cloud immersion causes actual evapotranspiration rates to be lower above this elevation; in addition, MSWEP rainfall for high elevation wet sites may be underestimated (Beck et al, 2019). Using the DEM, we also calculated watershed slope steepness in the study area (mean watershed slopes of 11–23 degrees), however, slope displayed high collinearity with forest cover and could not be included in our analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The easterly trade winds also deliver additional small-droplet precipitation to high elevation windward watersheds in Puerto Rico that current rainfall data sets are unable to account for. (Scholl et al, 2021). These increase uncertainty in rainfall-streamflow relationships as well as the relationship between forest cover and streamflow in the analysis.…”
Section: Limitations Uncertainties and Other Potential Contributing F...mentioning
confidence: 99%
“…Tropical forests in Puerto Rico are undergoing constant hurricane disturbances, which are considered agents of ecosystem structuring through direct defoliation as well as drivers of terrestrial-aquatic nitrogen and phosphorus transport [11,12]. The surges of heavy precipitation associated with hurricanes immediately increase surface runoff, which can directly move the soil nitrogen and phosphorous to inland waters [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…Tropical montane ecosystems are highly vulnerable to rapidly altering temperature and moisture regimes caused by global climate change (Hannah, 2021;Krishnaswamy et al, 2014;Muñoz et al, 2022;Williams et al, 2007) and extreme weather events, especially severe droughts (Foster, 2001;Scholl et al, 2021). Climate change is also causing large shifts in the elevation of orographic clouds and the trade wind inversion (TWI; a synoptic subsidence inversion that traps clouds below a roughly constant elevation, Giambelluca & Nullet, 1991) on tropical mountains, both of which strongly shape climate (Cao et al, 2007;Martin & Fahey, 2014;Marzol-Jaén et al, 2011) and disturbance regimes (Crausbay & Martin, 2016;Martin et al, 2007Martin et al, , 2011) in these ecosystems.…”
Section: Introductionmentioning
confidence: 99%