2021
DOI: 10.1002/eco.2298
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Regeneration of tropical montane cloud forests increases water yield in the Brazilian Atlantic Forest

Abstract: Tropical montane cloud forests (TMCF) have paramount importance with regards to hydrological and ecological functions. Despite such importance in terms of water provision, they are one of the most endangered ecosystems on the planet. One important topic that is still unclear is related to TMCF regeneration: can it recover the hydrological function of such critical ecosystems? In the present paper, the hydrological effects of the natural regeneration of TMCF were examined. We selected three catchments with diff… Show more

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Cited by 17 publications
(11 citation statements)
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“…Our estimates of BFI between 65% and 75% are in the lower range of estimates from Almagro et al (2021), possibly because our study catchments are smaller and higher gradient than those studied in Almagro et al (2021). Our estimates are comparable to the estimate of 74% for a small catchment in Serra da Mantiqueira (Mello et al, 2019), and very similar to those reported for montane catchments of Serra do Mar, which ranged from 59% to 68% (Teixeira et al, 2021), 76.5% (Groppo et al, 2019), and 76% (Salemi et al, 2013) – although there is inevitably some uncertainty in comparing BFI estimates across different sites and resulting from different hydrograph separation methods.…”
Section: Discussionsupporting
confidence: 91%
“…Our estimates of BFI between 65% and 75% are in the lower range of estimates from Almagro et al (2021), possibly because our study catchments are smaller and higher gradient than those studied in Almagro et al (2021). Our estimates are comparable to the estimate of 74% for a small catchment in Serra da Mantiqueira (Mello et al, 2019), and very similar to those reported for montane catchments of Serra do Mar, which ranged from 59% to 68% (Teixeira et al, 2021), 76.5% (Groppo et al, 2019), and 76% (Salemi et al, 2013) – although there is inevitably some uncertainty in comparing BFI estimates across different sites and resulting from different hydrograph separation methods.…”
Section: Discussionsupporting
confidence: 91%
“…The results indicate that the change from pasture to natural vegetation would have the potential to positively change responsiveness, improving the retention and regulation capacity of most Atlantic Forest ecoregions (Chazdon and Guariguata, 2016;Teixeira et al, 2021). In this context, forest restoration actions in degraded areas should consider soil quality, to enable the establishment of plant species and success of the restoration (Chazdon and Guariguata, 2016;Mendes et al, 2019), allowing the hydrological response of the restored areas, in a more advanced stage of ecological succession, to be positive compared to pasture, as shown in our results.…”
Section: Practical Implicationsmentioning
confidence: 99%
“…In this group, it is also possible to observe the concentration of samples from Evergreen broadleaved forest (EVER) as areas of high water yield in which natural forests do not affect water yield and also contribute to greater water retention and regulation (Teixeira et al, 2021). At the end of this group, some samples showed the highest values of "m" (good water retention capacity) and the lowest water yields, possibly encompassing taller forest vegetation and high evapotranspiration rates (Calder, 1998).…”
Section: Variation In Water Yield Of Native Vegetation and Pasture Al...mentioning
confidence: 99%
“…This improved groundwater recharge was attributed to enhanced cloud interception by forests. Similarly, the impact of natural regeneration of forest cover in Tropical montane cloud forests of Paraibuna river contributed to increased water yield, when the forest cover improvement was reported at 20%; however, in case of cloud forest cover increase lower than 20%, the hydrological regime was moderated by hydro-climatic factors (air temperature and rainfall) (Teixeira et al, 2021). In Europe, hydrological response to land use changes has been carried out via empirical rainfall-runoff modeling using Soil Conservation Service Curve Number (SCS-CN) method (Oko nski, 2007).…”
Section: Changing Land Use Patterns and Eco-hydrologymentioning
confidence: 99%