2019
DOI: 10.1016/j.landusepol.2019.03.010
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Aerial river management by smart cross-border reforestation

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Cited by 16 publications
(5 citation statements)
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“…The ability of land–atmosphere feedbacks to reverse the sign of change in river flow has also been shown under a business-as-usual deforestation scenario in the Xingu River basin in the Amazon, where accounting for land-atmosphere feedbacks switched river flow change estimates from an increase of 10–12% to a decrease of 30–36% [76]. Weng et al [77] further show that the heterogeneity of moisture recycling effects on Amazonian river flows extend to sub-basin levels, and identify sensitive sink and influential source regions.…”
Section: Evidence Of Moisture Recycling Influence On Water Resiliencementioning
confidence: 88%
“…The ability of land–atmosphere feedbacks to reverse the sign of change in river flow has also been shown under a business-as-usual deforestation scenario in the Xingu River basin in the Amazon, where accounting for land-atmosphere feedbacks switched river flow change estimates from an increase of 10–12% to a decrease of 30–36% [76]. Weng et al [77] further show that the heterogeneity of moisture recycling effects on Amazonian river flows extend to sub-basin levels, and identify sensitive sink and influential source regions.…”
Section: Evidence Of Moisture Recycling Influence On Water Resiliencementioning
confidence: 88%
“…The identification of hotspots of moisture recycling sources (Zemp, Schleussner, Barbosa, & Rammig, 2017; Zemp, Schleussner, Barbosa, Hirota, et al., 2017) can support the delineation of areas for forest protection. Furthermore, a recent study that investigates the potential to increase rainfall over a municipality in Bolivia with upwind “smart reforestation” reveals that 7.1 million hectares of reforested land could increase precipitation over the city by 1.25% (5.8 × 10 8 m 3 ) annually (Weng et al., 2019). The authors estimate that aerial river management —the practice of redistributing flows of atmospheric water through strategic LUC intentionally—has the potential to cover between 22% and 59% of the city's water demand in 2030 (Weng et al., 2019).…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, a recent study that investigates the potential to increase rainfall over a municipality in Bolivia with upwind “smart reforestation” reveals that 7.1 million hectares of reforested land could increase precipitation over the city by 1.25% (5.8 × 10 8 m 3 ) annually (Weng et al., 2019). The authors estimate that aerial river management —the practice of redistributing flows of atmospheric water through strategic LUC intentionally—has the potential to cover between 22% and 59% of the city's water demand in 2030 (Weng et al., 2019). Furthermore, considering moisture recycling trajectories , generally starting from the coastal area and moving inland, reforestation efforts could consider to be “build‐up” incrementally along this trajectory to increase moisture recycling and also enhance the success rate of reforestation projects (Ellison & Ifejika Speranza, 2020; Fagan et al., 2020).…”
Section: Resultsmentioning
confidence: 99%
“…A grand vision for forest restoration aims to reverse these processes, cooling and stabilising the climate while restoring reliable moisture supplies to regions currently facing threats or diminished water availability [181][182][183][184]. Makarieva et al [79] and Sheil [183] emphasise the potential benefits of increased tree cover, in general, including strategically placed forestations, possibly spanning across borders, to enhance rainfall and water availability downwind through intensified moisture convergence [184,185]. Similarly, promoting the infiltration of rainfall through soil conservation measures in seasonally dry areas can elevate soil moisture during the rainy and immediate postmonsoon periods [134,165,167].…”
Section: Increased Tree Cover Moisture Recycling and Precipitationmentioning
confidence: 99%
“…Doing so will require including rainfall partitioning at the soil surface (into surface runoff and infiltration) in such simulation models. Thus far, model applications have assumed that all precipitation arriving at the soil surface is infiltrating [20,172,185].…”
Section: Research Needsmentioning
confidence: 99%