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@ARTICLE{Wu:859999,
author = {Wu, Bei and Amelung, Wulf and Xing, Ying and Bol, Roland
and Berns, Anne E.},
title = {{I}ron cycling and isotope fractionation in terrestrial
ecosystems},
journal = {Earth science reviews},
volume = {190},
issn = {0012-8252},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2019-00800},
pages = {323 - 352},
year = {2019},
abstract = {The cycling of iron (Fe) is often closely linked with that
of carbon, nitrogen, phosphorus and manganese. Therefore,
alterations in the Fe cycle may be indicative of concurrent
overall changes in the biogeochemistry of terrestrial and
aquatic ecosystems. Biogeochemical processes taking part in
the Fe cycle frequently fractionate stable Fe isotopes,
leaving soil, plant and other compartments of the ecosystems
with varied Fe isotopic signatures. In this work, we
reviewed the Fe isotope fractionation processes that have
been reported so far for terrestrial ecosystems. While
parent materials vary in Fe isotope compositions, pedogenic
processes can further fractionate Fe isotope signatures,
resulting in soil profiles with δ56Fe values (relative to
isotope standard IRMM-014) from -0.52 to +0.72‰. Different
soil Fe pools, as a result of cycling processes, show an
even broader range of δ56Fe values, with secondary Fe
oxides being isotopically the lightest, and with Fe
sequestered in silicate minerals being the heaviest, due to
preferential release of light Fe isotopes during dissolution
of minerals. Actually and potentially plant-available Fe in
soil can be extracted by 0.5 M HCl, which includes pools of
water-extractable and exchangeable Fe, organically bound or
adsorbed Fe, and poorly crystalline Fe oxides, altogether
showing a depletion of heavy Fe isotopes with δ56Fe values
down to -1.08‰. Depending on the Fe speciation and
concentration present in the growth medium, plants can adapt
their uptake strategy for Fe. Plants of the strategy I type
especially take up light iron isotopes, while strategy II
plants fractionate less towards light isotopes. Aboveground
tissues usually show lighter Fe isotope signatures than the
roots, with flowers (δ56Fe: -2.15 to -0.23‰) being
isotopically the lightest. In freshwater systems, the most
distinct Fe isotope fractionation is usually found at the
oxic-anoxic interface, where redox conditions change and
thus Fe speciation controls the degree of Fe isotope
fractionation. Similar to soils, the δ56Fe values of
unfiltered water mainly reflect averaged Fe isotope
compositions across fractions with different particle sizes.
In filtered freshwater (<0.45 μm), isolated colloid-sized
fractions can exhibit either positive or negative δ56Fe
values, depending on the chosen size fraction and the origin
of the (nano)particles, with δ56Fe values up to +2.79‰
for fractions smaller than 0.003 μm from an arctic stream
or down to -1.73‰ for dissolved Fe (< 0.02 µm) from a
boreal forested catchment. Most freshwater studies showed
that rivers with elevated contents of dissolved organic
carbon (DOC) tend to be isotopically heavier than those with
lower DOC contents, while some studies also showed that
rivers with high DOC can display light Fe isotopic
signatures owing to the input of groundwater- and/or soil
water-derived Fe. Finally, anthropogenic impacts can
contribute to Fe isotope fractionation in freshwaters and
may widen the range of δ56Fe values in the environment,
with the lowest records found down to -5.29‰. Overall, our
compilation reveals that Fe pools in different terrestrial
system compartments vary in stable Fe isotope compositions,
although the current database is still small. In order to
use stable Fe isotopes as proxies to reconstruct the
biogeochemical processes, future works should not solely
rely on bulk δ56Fe assessments, but also involve the
assessment of different fractionation factors for all
biogeochemical pathways, which includes isotopic analyses
among various pools of the terrestrial Fe cycle.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000462803000014},
doi = {10.1016/j.earscirev.2018.12.012},
url = {https://juser.fz-juelich.de/record/859999},
}