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@PHDTHESIS{Wagner:872979,
author = {Wagner, Katrin Xin Xin},
title = {{I}mpact {A}ssessment of {L}and-{U}se {C}hange and
{A}gricultural {T}reatments on {G}reenhouse {G}as
{E}missions from {W}etlands of {U}ganda and {T}anzania},
volume = {483},
school = {Universität Bonn},
type = {Dr.},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2020-00436},
isbn = {978-3-95806-447-8},
series = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {144 S.},
year = {2019},
note = {Dissertation, Universität Bonn, 2019},
abstract = {Wetlands play an important role in global climate
regulation as they represent a great global carbon sink.
Moreover, wetlands provide optimal conditions for food
production and support the livelihoods of many people in
Sub-Saharan Africa with food supply. The conversion of
natural wetland areas to farmland seriously affects valuable
ecosystem services, including global climate regulation, and
can result in altered greenhouse gas(GHG) emissions.
Therefore, a main challenge of sustainable wetland
management is to find a reconciliation between food
production and mitigation of GHG emissions. For the
development of management recommendations, GHG emission data
from wetlands in Sub-Saharan Africa are highly needed,
because the numbers of GHG studies conducted in this region
are low. This study aimed to reduce this knowledge gap and
assessed GHG emissions from wetlands in East Africa with
consideration of contrasting wetland types, different types
of land use and different hydrological positions within the
wetland. Moreover, different agricultural treatments were
evaluated with respect to their effects on yield-based GHG
emissions. Two field experiments were established in
different wetland types in East Africa. The first test site
was located in an inland valley wetland in Uganda,while the
second one was located in a floodplain of the Kilombero
river in Tanzania. CH$_{4}$,CO$_{2}$ and N$_{2}$O emission
data were collected with static chambers for a total
samplingperiod of two consecutive cropping and fallow
periods. During data analysis, a lack of systematic quality
assurance of GHG data from static chamber measurements
became apparent. Thus, an eight-step data quality management
system based on objective criteria was developed to ensure
data reliability and improve data acceptance rates. The
quality-checked results of this study confirmed that
land-use change had a significant impact on GHG emissions,
as the global warming potential (GWP) considerably
increasedafter the conversion of natural wetlands to
farmland. Moreover, this study showed that intensification
of food production did not result in significantly higher
yield-based GHG emissions. Intensive cropping treatments
with fertilizer application showed equally high or even
lower global warming potential indexes (GWPI) compared to
non-fertilized treatments. In conclusion, intensive cropping
management practices with high yield potentials represent a
possible trade-off between food production and GHG
emissions. However, to achieve GHG emission mitigation, a
combination with natural wetland areas spared from
agricultural production is essential.},
cin = {IBG-3},
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)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-2020012939},
url = {https://juser.fz-juelich.de/record/872979},
}