Rainfall interception and fog precipitation in a tropical montane cloud forest of Guatemala

Holder, Curtis D.

doi:10.1016/j.foreco.2003.11.004

Cited by 116 publications

(78 citation statements)

References 42 publications

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“…Thus, cloud water is usually underestimated, because its contribution to throughfall is only quantified whenever net precipitation is higher than gross precipitation. Cloud water that may have been captured when canopy interception is positive is ignored, as well as the volume that compensates for rain water intercepted by vegetation in the days when the canopy interception value is negative (Holder 2004). In an area subjected to frequent cloud immersion, interpretation of canopy interception can be particularly difficult, as it can be diminished by the presence of additional cloud water.…”

Section: Indirect Evidence Of Cloud Water Interceptionmentioning

confidence: 99%

Cloud water interception in the temperate laurel forest of Madeira Island

Figueira

Sequeira

Vasconcelos

et al. 2013

Hydrological Sciences Journal

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A cloud belt frequently forms on the windward side of Madeira Island, between 800 and 1600 m a.s.l., as a result of adiabatic cooling of the northeastern trade winds that are forced upward. Temperate laurel forest is the most common vegetation inside that cloud belt altitudinal range. Cloud water interception was estimated by comparing precipitation and throughfall during a hydrological year. It totalled 200 mm (8% of rainfall) during 65 days (3 mm d -1 ) and seems to constitute a larger fraction of water input during drier months. Multiple linear regression between gauge standard deviation and throughfall throughout rain events shows that cloud interception is common before the onset of rainfall. Its role in the ecohydrology of laurel forest and in the island's hydrology should be acknowledged. Further studies on this issue should be a priority in order to better understand these dynamics and provide tools for the correct management of this protected forest and the island's groundwater resources.

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Section: Indirect Evidence Of Cloud Water Interceptionmentioning

confidence: 99%

Cloud water interception in the temperate laurel forest of Madeira Island

Figueira

Sequeira

Vasconcelos

et al. 2013

Hydrological Sciences Journal

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“…Especially in mountain forest ecosystems, where fog occurs very frequently, fog water is an important source of ion deposition (Gordon et al, 1994;Walmsley et al, 1996). The frequency of fog events typically increases with altitude above sea level Correspondence to: E. Beiderwieden (beiderwi@uni-muenster.de) (Olivier and de Rautenbach, 2002;Zimmermann and Zimmermann, 2002;Holder, 2004). Prevalent fog frequencies and high wind velocities cause more fog deposition and ion input at elevated mountainous sites than in lowlands (Minami and Ishizaka, 1996;Walmsley et al, 1996;Clark et al, 1998;Igawa et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Chemical characterization of fog and rain water collected at the eastern Andes cordillera

Beiderwieden¹,

Wrzesinsky²,

Klemm³

2005

Hydrol. Earth Syst. Sci.

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Abstract. During a three month period in 2003 and 2004, the chemistry of fog and rainwater were studied at the "El Tiro" site in a tropical mountain forest ecosystem in Ecuador, South America. The fogwater samples were collected using a passive fog collector, and for the rain water, a standard rain sampler was employed. For all samples, electric conductivity, pH, and the concentrations of NH We found considerably higher ion concentrations in fogwater samples than in rain samples. Median pH values are 4.58 for fog water, and 5.26 for the rain samples, respectively. The median electric conductivity was 23 µS cm −1 for the fog and 6 µS cm −1 for the rain. The continent samples exhibit higher concentrations of most ions as compared to the pacific samples, but these differences could not be detected statistically.

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“…Most research on rainfall interception by plant canopies has focused on different kinds of trees in different climatic zones, for instances tropical rain forests in Guyana [22], Brazil [23] and eastern Amazonia [24]; tropical montane cloud forest of Guatemala [25]; laurel forest in Canary Island [26]; lowland tropical rainforest in Brunei [27]; boreal forest in Sweden [28]; arid zone pine forest [29]; and deciduous Mediterranean forest in Slovenia [30]. The number of studies on rainfall interception by lower vegetation are inadequate with focuses mainly on: grasslands [19,21,31], drylands [1,20] shrublands [31,32], or croplands [33].…”

Section: Introductionmentioning

confidence: 99%

Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements

Ciężkowski

Berezowski

Kleniewska

et al. 2018

Water

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This study estimates rainfall interception losses from natural wetland ecosystems based on maximum canopy storage measurements. Rainfall interception losses play an important role in water balance, which is crucial in wetlands, and has not yet been thoroughly studied in relation to this type of ecosystem. Maximum canopy storage was measured using the weight method. Based on these measurements, daily values of interception losses were estimated and then used to calculate long-term interception losses based on precipitation and potential evapotranspiration data for the 1971-2015 period. Depending mainly on the number of days with precipitation, the results show that total interception losses for the growing season as well as monthly interception losses are around 13% of gross rainfall. This value is similar to the values observed for some forests. Hence, interception losses should not be disregarded in hydrologic models of wetlands, especially because data trends in meteorological conditions (mainly number of days with precipitation) show that interception losses will increase in the future if those trends stay the same.

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Rainfall interception and fog precipitation in a tropical montane cloud forest of Guatemala

Cited by 116 publications

References 42 publications

Cloud water interception in the temperate laurel forest of Madeira Island

Cloud water interception in the temperate laurel forest of Madeira Island

Chemical characterization of fog and rain water collected at the eastern Andes cordillera

Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements

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