Response to “Comment on fog precipitation and rainfall interception in the natural forests of Madeira Island (Portugal)”

Prada, Susana; Sequeira, Miguel Menezes de; Figueira, Celso; Prior, Víctor; Silva, Manuel Oliveira da

doi:10.1016/j.agrformet.2010.04.009

Cited by 9 publications

(22 citation statements)

References 18 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud water interception occurs in windy and foggy environments, when cloud droplets (essentially fog droplets of various sizes and sometimes drizzle) coalesce on plant surfaces, as the cloud base passes through the canopy, and drip to the forest floor (Twomey 1957, Ekern 1964, Bruijnzeel 2001, Holder 2003, 2006, Bruijnzeel et al 2005, Prada et al 2009, 2010a, Brauman et al 2010, Holwerda et al 2010. In the absence of vegetation, this cloud water would not precipitate on the soil in significant quantities (Cunha 1964, Davis andDeWiest 1991).…”

Section: Introductionmentioning

confidence: 99%

Cloud water interception in the temperate laurel forest of Madeira Island

Figueira

Sequeira

Vasconcelos

et al. 2013

Hydrological Sciences Journal

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Cloud water interception in the temperate laurel forest of Madeira Island

Figueira

Sequeira

Vasconcelos

et al. 2013

Hydrological Sciences Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…() with regard to their roving experiment. To describe the roving experiment, they refer to a response to a comment on another article (Prada et al ., ) that we presented earlier (Regalado and Ritter, ). Prada et al .…”

Section: Comparison Of Prada Et Al () With Previous Related Studies mentioning

confidence: 96%

“…Prada et al . () also does not contain such an analysis, only a vague description of the roving methodology used referring to March 1996 (outside the time span presented in Prada et al ., ). Ritter and Regalado () compared the fixed versus the roving arrangements in a heath tree forest, varying the number of gauges from 2 to 22 using simulations.…”

Section: Comparison Of Prada Et Al () With Previous Related Studies mentioning

confidence: 99%

Comment on Prada et al. 2012. ‘Cloud water interception in the high altitude tree heath forest (Erica arborea L.) of Paul da Serra Massif (Madeira, Portugal)’. Hydrological Processes 26: 202–212

Regalado

Ritter

2012

Hydrological Processes

View full text Add to dashboard Cite

“…(), corrected in Prada et al . (). The difference is that it was used for a different purpose, as stated in the objectives.…”

Section: Comparison Between Sites and Studiesmentioning

confidence: 97%

“…Prada et al . (, ) offered arguments to make such observation plausible, as we also do again in this reply. On the other hand, the arguments presented by RR (also in Regalado and Ritter, 2010) against those values were intended to falsify the observation.…”

Section: Comparison Between Sites and Studiesmentioning

confidence: 99%