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Die vorliegende Untersuchung wurde im Rahmen des Verbundprojekts „BIOTA West Afrika“ durchgeführt und befasst sich mit der raum/zeitlichen Analyse der Landbedeckung und der räumlichen Modellierung von Mustern der Pflanzenvielfalt in drei Untersuchungsgebieten in Burkina Faso und Benin. Der erste Teil der Untersuchung beinhaltet die Dokumentation und Analyse der Landbedeckung und Landnutzung und ihrer raum/zeitlichen Veränderungen entlang eines Klimagradienten vom ariden Norden Burkina Fasos bis in den semiariden Norden Benins. Auf der Basis von multitemporalen LANDSAT - Satellitendaten und umfangreichen Geländedaten werden im sahelischen und den sudanischen Untersuchungsgebieten Karten der Landbedeckung mit hoher räumlicher und thematischer Auflösung erstellt. Je nach Untersuchungsgebiet können zwischen zehn und fünfzehn Landbedeckungsklassen differenziert werden. Die Gesamtklassifikationsgüte erreicht Werte zwischen 74% und 87%. In den sudanischen Untersuchungsgebieten werden Landnutzungsveränderungen mit Hilfe von LANDSAT - Satellitendaten, Luftbildern und Geländedaten über einen Zeitraum von ca. 15 Jahren (1986 – 2001) dokumentiert. Für beide Untersuchungsgebiete werden gravierende Landnutzungsveränderungen festgestellt. Der Anteil der ackerbaulich genutzten Fläche steigt für das nordsudanische Untersuchungsgebiet von 17% auf 41% und für das südsudanische Untersuchungsgebiet von 10% auf 14%. Im Mittelpunkt des zweiten Teils dieser Untersuchung steht die Frage nach den räumlichen Mustern der Pflanzenvielfalt und ihrer zeitlichen Veränderungen in den Untersuchungsgebieten der Sahel-, der Nord- und Südsudanzone. Zur Bearbeitung dieser Aufgabenstellungen kommt ein breites Methodenspektrum zur Anwendung. Kernstück der Untersuchung ist die Entwicklung eines verbesserten methodischen Ansatzes der Biodiversitätsmodellierung. Dazu werden bereits existierende räumliche Modellierungsansätze durch die Einbindung von Satellitendaten weiterentwickelt. Auf der Basis von georeferenzierten botanischen Daten (aktuell über 4500 pflanzensoziologische Aufnahmen mit insgesamt 104000 Datensätzen) werden für das sahelische, nord- und südsudanische Untersuchungsgebiet modellierte Verbreitungskarten von 138, 123 und 165 Pflanzenarten erstellt. Die Güte der Karten wird auf der Basis von unabhängigen Geländedaten überprüft. Die einzelnen Verbreitungskarten werden gebietsweise zusammengefasst, so dass im Ergebnis für jedes Untersuchungsgebiet eine hochauflösende Karte der Pflanzenvielfalt vorliegt. Im Rahmen einer Fallstudie werden die zeitlichen Veränderungen der Verbreitungsgebiete von Nutzbaumarten über einen Zeitraum von 13 Jahren untersucht. Es werden aktuelle und historische Verbreitungsgebiete der Nutzbaumarten auf der Basis von hochauflösenden Satellitendaten modelliert und die Veränderungen der Verbreitungsgebiete vor dem Hintergrund des Landnutzungswandels im Untersuchungsgebiet analysiert. Für 17 der 18 untersuchten Baumarten werden rückgängige Verbreitungsgebiete beobachtet.
Die äthiopische Palmyrapalme (Borassus aethiopum) mit einer Wuchshöhe von bis zu 30 Metern gehört zu den größten afrikanischen Palmenarten. Ihr Erhalt ist für die Menschen in Benin und Burkina Faso von großer Bedeutung, denn sie stellen aus den Blättern der Palme Matten, Körbe und Hüte her. Die melonengroßen, glänzend orangen Früchte sind essbar. Inzwischen geht das Verbreitungsgebiet dieser wichtigen Nutzart stark zurück. ...
Bare incrusted soils are a degradation stage often encountered in the Sahel zone. Our study documents the success of restoration (= regreening) experiments using deep ploughing in an experimental site south of Gorom-Gorom in the Oudalan province of Burkina Faso. We used phytosociological relevés and maximum likelihood classifications of digital photography to analyze changes in vegetation. Plant cover in treated plots was found to be about 20 times higher than in control plots, mean species richness more than twice as high. Therefore, this promising restoration method should be tested also in other Sahelian regions. Our approach to combine phytosociological relevés and maximum likelihood classifications of digital photography proved to be very useful.
The Chiral Magnetic Wave (CMW) phenomenon is essential to provide insights into the strong interaction in QCD, the properties of the quark-gluon plasma, and the topological characteristics of the early universe, offering a deeper understanding of fundamental physics in high-energy collisions. Measurements of the charge-dependent anisotropic flow coefficients are studied in Pb-Pb collisions at center-of-mass energy per nucleon-nucleon collision sNN−−−√= 5.02 TeV to probe the CMW. In particular, the slope of the normalized difference in elliptic (v2) and triangular (v3) flow coefficients of positively and negatively charged particles as a function of their event-wise normalized number difference, is reported for inclusive and identified particles. The slope rNorm3 is found to be larger than zero and to have a magnitude similar to rNorm2, thus pointing to a large background contribution for these measurements. Furthermore, rNorm2 can be described by a blast wave model calculation that incorporates local charge conservation. In addition, using the event shape engineering technique yields a fraction of CMW (fCMW) contribution to this measurement which is compatible with zero. This measurement provides the very first upper limit for fCMW, and in the 10-60% centrality interval it is found to be 26% (38%) at 95% (99.7%) confidence level.
Results on the transverse spherocity dependence of light-flavor particle production (π, K, p, ϕ, K∗0, K0S, Λ, Ξ) at midrapidity in high-multiplicity pp collisions at s√=13 TeV were obtained with the ALICE apparatus. The transverse spherocity estimator (SpT=1O) categorizes events by their azimuthal topology. Utilizing narrow selections on SpT=1O, it is possible to contrast particle production in collisions dominated by many soft initial interactions with that observed in collisions dominated by one or more hard scatterings. Results are reported for two multiplicity estimators covering different pseudorapidity regions. The SpT=1O estimator is found to effectively constrain the hardness of the events when the midrapidity (|η|<0.8) estimator is used. The production rates of strange particles are found to be slightly higher for soft isotropic topologies, and severely suppressed in hard jet-like topologies. These effects are more pronounced for hadrons with larger mass and strangeness content, and observed when the topological selection is done within a narrow multiplicity interval. This demonstrates that an important aspect of the universal scaling of strangeness enhancement with final-state multiplicity is that high-multiplicity collisions are dominated by soft, isotropic processes. On the contrary, strangeness production in events with jet-like processes is significantly reduced. The results presented in this article are compared with several QCD-inspired Monte Carlo event generators. Models that incorporate a two-component phenomenology, either through mechanisms accounting for string density, or thermal production, are able to describe the observed strangeness enhancement as a function of SpT=1O.
Measurements of charged-particle production in pp, p−Pb, and Pb−Pb collisions in the toward, away, and transverse regions with the ALICE detector are discussed. These regions are defined event-by-event relative to the azimuthal direction of the charged trigger particle, which is the reconstructed particle with the largest transverse momentum (ptrigT) in the range 8<ptrigT<15 GeV/c. The toward and away regions contain the primary and recoil jets, respectively; both regions are accompanied by the underlying event (UE). In contrast, the transverse region perpendicular to the direction of the trigger particle is dominated by the so-called UE dynamics, and includes also contributions from initial- and final-state radiation. The relative transverse activity classifier, RT=NTch/⟨NTch⟩, is used to group events according to their UE activity, where NTch is the charged-particle multiplicity per event in the transverse region and ⟨NTch⟩ is the mean value over the whole analysed sample. The energy dependence of the RT distributions in pp collisions at s√=2.76, 5.02, 7, and 13 TeV is reported, exploring the Koba-Nielsen-Olesen (KNO) scaling properties of the multiplicity distributions. The first measurements of charged-particle pT spectra as a function of RT in the three azimuthal regions in pp, p−Pb, and Pb−Pb collisions at sNN−−−√=5.02 TeV are also reported. Data are compared with predictions obtained from the event generators PYTHIA 8 and EPOS LHC. This set of measurements is expected to contribute to the understanding of the origin of collective-like effects in small collision systems (pp and p−Pb).
Measurements of charged-particle production in pp, p−Pb, and Pb−Pb collisions in the toward, away, and transverse regions with the ALICE detector are discussed. These regions are defined event-by-event relative to the azimuthal direction of the charged trigger particle, which is the reconstructed particle with the largest transverse momentum (ptrigT) in the range 8<ptrigT<15 GeV/c. The toward and away regions contain the primary and recoil jets, respectively; both regions are accompanied by the underlying event (UE). In contrast, the transverse region perpendicular to the direction of the trigger particle is dominated by the so-called UE dynamics, and includes also contributions from initial- and final-state radiation. The relative transverse activity classifier, RT=NTch/⟨NTch⟩, is used to group events according to their UE activity, where NTch is the charged-particle multiplicity per event in the transverse region and ⟨NTch⟩ is the mean value over the whole analysed sample. The energy dependence of the RT distributions in pp collisions at s√=2.76, 5.02, 7, and 13 TeV is reported, exploring the Koba-Nielsen-Olesen (KNO) scaling properties of the multiplicity distributions. The first measurements of charged-particle pT spectra as a function of RT in the three azimuthal regions in pp, p−Pb, and Pb−Pb collisions at sNN−−−√=5.02 TeV are also reported. Data are compared with predictions obtained from the event generators PYTHIA 8 and EPOS LHC. This set of measurements is expected to contribute to the understanding of the origin of collective-like effects in small collision systems (pp and p−Pb).
Long- and short-range correlations for pairs of charged particles are studied via two-particle angular correlations in pp collisions at s√=13 TeV and p−Pb collisions at sNN−−−√=5.02 TeV. The correlation functions are measured as a function of relative azimuthal angle Δφ and pseudorapidity separation Δη for pairs of primary charged particles within the pseudorapidity interval |η|<0.9 and the transverse-momentum interval 1<pT<4 GeV/c. Flow coefficients are extracted for the long-range correlations (1.6<|Δη|<1.8) in various high-multiplicity event classes using the low-multiplicity template fit method. The method is used to subtract the enhanced yield of away-side jet fragments in high-multiplicity events. These results show decreasing flow signals toward lower multiplicity events. Furthermore, the flow coefficients for events with hard probes, such as jets or leading particles, do not exhibit any significant changes compared to those obtained from high-multiplicity events without any specific event selection criteria. The results are compared with hydrodynamic-model calculations, and it is found that a better understanding of the initial conditions is necessary to describe the results, particularly for low-multiplicity events.
Long- and short-range correlations for pairs of charged particles are studied via two-particle angular correlations in pp collisions at √sNN = 13 TeV and p–Pb collisions at √s = 5.02 TeV. The correlation functions are measured as a function of relative azimuthal angle ∆φ and pseudorapidity separation ∆η for pairs of primary charged particles within the pseudorapidity interval |η| < 0.9 and the transverse-momentum interval 1 < pT < 4 GeV/c. Flow coefficients are extracted for the long-range correlations (1.6 < |∆η| < 1.8) in various high-multiplicity event classes using the low-multiplicity template fit method. The method is used to subtract the enhanced yield of away-side jet fragments in high-multiplicity events. These results show decreasing flow signals toward lower multiplicity events. Furthermore, the flow coefficients for events with hard probes, such as jets or leading particles, do not exhibit any significant changes compared to those obtained from high-multiplicity events without any specific event selection criteria. The results are compared with hydrodynamic-model calculations, and it is found that a better understanding of the initial conditions is necessary to describe the results, particularly for low-multiplicity events.