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Can We Detect Changes in Amazon Forest Structure Using Measurements of the Isotopic Composition of Precipitation?
Author(s) -
Pattnayak K.C.,
Tindall J .C.,
Brienen R. J. W.,
Barichivich J.,
Gloor E.
Publication year - 2019
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2019gl084749
Subject(s) - amazon rainforest , evapotranspiration , environmental science , land cover , precipitation , water cycle , atmospheric sciences , stable isotope ratio , tracer , climatology , land use , geology , geography , ecology , meteorology , physics , quantum mechanics , nuclear physics , biology
Large‐scale (>500 km) spatial gradients of precipitation oxygen isotope ratios (δ 18 O p ) hold information about the hydrological cycle. They result from the interplay between rainout and evapotranspiration along air‐parcel paths, but these counteracting effects are difficult to disentangle, complicating quantification of the effect of land cover change on δ 18 O p . We show that disentangling can qualitatively be achieved using climate model simulations with a land‐derived precipitation tracer for tropical South America. We then either vary land cover as observed since 1870 or replace Amazon forests with bare land to determine the resulting signals. Our results indicate that effects of historically changing land cover on annual mean δ 18 O isotope‐ratio gradients are small and unlikely detectable, although there is a noticeable signal during the dry season. Furthermore, the effect of changes in water recycling on Amazon δ 18 O p in paleo‐records may have been overestimated and need reinterpretation.

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