IFEVA   02662
INSTITUTO DE INVESTIGACIONES FISIOLOGICAS Y ECOLOGICAS VINCULADAS A LA AGRICULTURA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Global Rainfall Partitioning by Woody Plants in Drylands: General Patterns, Empirical Models and Invasion Processes
Autor/es:
ZEBALLOS, SEBASTIÁN R.; JOBBÁGY, ESTEBAN G.; MAGLIANO, PATRICIO N.; AGUIAR, SEBASTIÁN; WHITWORTH-HULSE, JUAN I.; BALDI, GERMÁN
Lugar:
San Francisco
Reunión:
Congreso; AGU Fall Meeting; 2021
Institución organizadora:
American Geophysical Union
Resumen:
Rainfall partitioning by plant canopies can play key roles in terrestrial ecosystems by altering theamount, timing and patterns of water receipt to soils. Here, we developed three global metaanalyses that explored the role of plant morphological attributes (life-form, bark roughness, leaftype, leaf phenology) on rainfall partitioning into interception (I), throughfall (T) and stemflow (S)in drylands and worldwide invaded regions. First, we synthesized rainfall partitioning along arainfall gradient (46 papers; 145 - 805 mm/y, 68 woody plant species). Second, we developedmodels to predict the event-scale response to rainfall partitioning (40 papers; 1,934 rainfallevents modeled). Third, we compared the rainfall partitioning fluxes and their plantmorphological controls for co-occurring invasive and native woody plant species (100 papers; 47plant species comparisons, 12 regions). We found, first, I, T and S accounted for 24.0, 69.8 and6.2% of total rainfall, respectively. Along the increasing rainfall gradient, I showed a tendency todecrease from 27.1 to 18.9%, T increased from 61.4 to 81.2% and S decreased from 10.0 to 1.6%.Shrubs presented more S than trees and were more abundant towards the dry edge of the rainfallgradient. Second, twelve linear models explained significant variability across all synthesizedobservations. S was best predicted by models that consider four canopy factors displayingslopes from 0.024 to 0.066 (mm of S per mm of rainfall). I was best predicted by leaf morphology(slopes from 0.162 to 0.171) whereas T best predictor was rainfall event size (slope = 0.822).Shrubs and smooth bark species present higher responses to S than tress and rough barkspecies, respectively. Third, invasive species presented higher S than native species for bothdrylands and humid areas, and higher T in drylands, but less in humid areas. Rough-barkedspecies constrained rainfall inputs by promoting higher losses due to I, while smooth-barkedspecies with broad leaves enhanced the amount of rainwater reaching the soil by maximizing S.Our findings highlighted the ecohydrological key role of vegetation life form and rainfall inputs affecting the amount of water entering into the soil, and suggested that specific morphologicalattributes of invasive species determine higher localized water inputs.