TY - JOUR A1 - Tranter, Morgan Alan A1 - De Lucia, Marco A1 - Wolfgramm, Markus A1 - Kühn, Michael T1 - Barite scale formation and injectivity loss models for geothermal systems JF - Water N2 - Barite scales in geothermal installations are a highly unwanted effect of circulating deep saline fluids. They build up in the reservoir if supersaturated fluids are re-injected, leading to irreversible loss of injectivity. A model is presented for calculating the total expected barite precipitation. To determine the related injectivity decline over time, the spatial precipitation distribution in the subsurface near the injection well is assessed by modelling barite growth kinetics in a radially diverging Darcy flow domain. Flow and reservoir properties as well as fluid chemistry are chosen to represent reservoirs subject to geothermal exploration located in the North German Basin (NGB) and the Upper Rhine Graben (URG) in Germany. Fluids encountered at similar depths are hotter in the URG, while they are more saline in the NGB. The associated scaling amount normalised to flow rate is similar for both regions. The predicted injectivity decline after 10 years, on the other hand, is far greater for the NGB (64%) compared to the URG (24%), due to the temperature- and salinity-dependent precipitation rate. The systems in the NGB are at higher risk. Finally, a lightweight score is developed for approximating the injectivity loss using the Damkohler number, flow rate and total barite scaling potential. This formula can be easily applied to geothermal installations without running complex reactive transport simulations. KW - reactive transport KW - radial flow KW - geothermal energy KW - scaling KW - phreeqc KW - formation damage Y1 - 2020 U6 - https://doi.org/10.3390/w12113078 SN - 2073-4441 VL - 12 IS - 11 PB - MDPI CY - Basel ER - TY - THES A1 - Leins, Johannes A. T1 - Combining model detail with large scales T1 - Die Verbindung von Modelldetails und großen Skalen BT - a simulation framework for population viability analyses in changing and disturbed environments BT - ein Simulationswerkzeug zur Analyse der Überlebensfähigkeit von Populationen in einer sich verändernden und gestörten Umwelt N2 - The global climate crisis is significantly contributing to changing ecosystems, loss of biodiversity and is putting numerous species on the verge of extinction. In principle, many species are able to adapt to changing conditions or shift their habitats to more suitable regions. However, change is progressing faster than some species can adjust, or potential adaptation is blocked and disrupted by direct and indirect human action. Unsustainable anthropogenic land use in particular is one of the driving factors, besides global heating, for these ecologically critical developments. Precisely because land use is anthropogenic, it is also a factor that could be quickly and immediately corrected by human action. In this thesis, I therefore assess the impact of three climate change scenarios of increasing intensity in combination with differently scheduled mowing regimes on the long-term development and dispersal success of insects in Northwest German grasslands. The large marsh grasshopper (LMG, Stethophyma grossum, Linné 1758) is used as a species of reference for the analyses. It inhabits wet meadows and marshes and has a limited, yet fairly good ability to disperse. Mowing and climate conditions affect the development and mortality of the LMG differently depending on its life stage. The specifically developed simulation model HiLEG (High-resolution Large Environmental Gradient) serves as a tool for investigating and projecting viability and dispersal success under different climate conditions and land use scenarios. It is a spatially explicit, stage- and cohort-based model that can be individually configured to represent the life cycle and characteristics of terrestrial insect species, as well as high-resolution environmental data and the occurrence of external disturbances. HiLEG is a freely available and adjustable software that can be used to support conservation planning in cultivated grasslands. In the three case studies of this thesis, I explore various aspects related to the structure of simulation models per se, their importance in conservation planning in general, and insights regarding the LMG in particular. It became apparent that the detailed resolution of model processes and components is crucial to project the long-term effect of spatially and temporally confined events. Taking into account conservation measures at the regional level has further proven relevant, especially in light of the climate crisis. I found that the LMG is benefiting from global warming in principle, but continues to be constrained by harmful mowing regimes. Land use measures could, however, be adapted in such a way that they allow the expansion and establishment of the LMG without overly affecting agricultural yields. Overall, simulation models like HiLEG can make an important contribution and add value to conservation planning and policy-making. Properly used, simulation results shed light on aspects that might be overlooked by subjective judgment and the experience of individual stakeholders. Even though it is in the nature of models that they are subject to limitations and only represent fragments of reality, this should not keep stakeholders from using them, as long as these limitations are clearly communicated. Similar to HiLEG, models could further be designed in such a way that not only the parameterization can be adjusted as required, but also the implementation itself can be improved and changed as desired. This openness and flexibility should become more widespread in the development of simulation models. N2 - Die globale Klimakrise trägt maßgeblich dazu bei, dass sich Ökosysteme verändern, die Artenvielfalt sinkt und zahlreiche Spezies vom Aussterben bedroht sind. Viele Arten sind prinzipiell in der Lage, sich wandelnden Bedingungen anzugleichen oder ihre Habitate in geeignetere Regionen zu verlagern. Allerdings schreitet der Wandel schneller voran als sich einige Spezies anpassen können oder die mögliche Anpassung wird durch direkte und indirekte menschliche Eingriffe blockiert und gestört. Gerade die nicht-nachhaltige Landnutzung durch den Menschen ist neben der Klimaerhitzung einer der treibenden Faktoren für diese ökologisch kritischen Entwicklungen. Gleichzeitig ist sie durch ihre unmittelbare menschliche Ursache ein Faktor, der sich kurzfristig und schnell korrigieren ließe. Zu diesem Zweck untersuche ich in dieser Dissertation, wie sich drei Klimawandelszenarien ansteigender Intensität im Zusammenspiel mit unterschiedlich terminierten Mahdregimen im Nordwestdeutschen Grünland auf die langfristige Entwicklung und Ausbreitung von Insekten auswirken. In der Untersuchung fungiert die Sumpfschrecke (Stethophyma grossum, Linné 1758) als Bezugsspezies. Sie ist in Feucht- und Nasswiesen zu Hause und zu räumlicher Ausbreitung fähig, auch wenn sie nur eingeschränkt mobil ist. Mahd und Klimabedingungen wirken sich je nach Lebensstadium unterschiedlich stark auf die Entwicklung und Mortalität der Sumpfschrecke aus. Das eigens entwickelte Simulationsmodell HiLEG (High-resolution Large Environmental Gradient) dient als Werkzeug zur Untersuchung und Projektion der Überlebens- und Ausbreitungswahrscheinlichkeit unter verschiedenen Klima- und Landnutzungsszenarien. Es ist ein räumlich explizites, stadien- und kohortenbasiertes Modell, das individuell konfiguriert werden kann, um den Lebenszyklus und die Charakteristiken terrestrischer Insektenarten sowie hochaufgelöste Umweltdaten und das zeitlich variierende Auftreten externer Störfaktoren abzubilden. HiLEG ist eine frei verfügbare Software und kann zur Unterstützung bei der Planung von Umweltschutzmaßnahmen in kultiviertem Grünland verwendet werden. In den drei Fallstudien dieser Arbeit habe ich verschiedene Aspekte in Bezug auf die Struktur von Simulationsmodellen an sich, deren Bedeutung im Naturschutz im Allgemeinen und Erkenntnisse für die Sumpfschrecke im Speziellen untersucht. Es zeigte sich, dass die detaillierte Auflösung der Modellprozesse und -komponenten entscheidend ist, um den langfristigen Effekt räumlich und zeitlich begrenzter Ereignisse projizieren zu können. Insbesondere in Anbetracht der Klimakrise hat sich die gesteigerte Relevanz von Naturschutzmaßnahmen auf regionaler Ebene herausgestellt. Ich konnte außerdem bestätigen, dass die Sumpfschrecke zwar im Prinzip von der Klimaerwärmung profitiert, aber weiterhin durch ungeeignete Mahdregime beschränkt wird. Bewirtschaftungspläne könnten allerdings in dem Sinne angepasst werden, dass sie die Ausbreitung und Etablierung der Sumpfschrecke erlauben, ohne sich über die Maßen auf den Ertrag der Landwirtschaft auszuwirken. Insgesamt können Simulationsmodelle wie HiLEG einen wichtigen Beitrag und Mehrwert für die Planung von Naturschutzmaßnahmen und Politikinstrument leisten. Richtig eingesetzt beleuchten die Simulationsergebnisse Aspekte, die durch subjektive Bewertung und Erfahrung einzelner Akteure möglicherweise übersehen würden. Auch wenn es in der Natur von Modellen liegt, dass sie Einschränkungen unterworfen sind und nur Ausschnitte der Realität abbilden, sollte dies kein Hindernis für ihren Einsatz sein, solange diese Limitierungen klar kommuniziert werden. Analog zu HiLEG könnten Modelle so konzipiert werden, dass nicht nur ihre Parametrisierung nach Bedarf angepasst, sondern auch die Implementierung selbst beliebig verbessert und verändert werden kann. Diese Offenheit und Flexibilität sollte sich bei der Entwicklung von Simulationsmodelle stärker durchsetzen. KW - spatially explicit model KW - large marsh grasshopper KW - simulation framework KW - climate change KW - land use KW - Open Source KW - Open Access KW - dispersal KW - PVA (population viability analysis) KW - high resolution KW - scaling KW - grassland KW - disturbance timing KW - Klimawandel KW - Ausbreitung KW - Zeitpunkt von Störungen KW - Grünland KW - hohe Auflösung KW - Landnutzung KW - Sumpfschrecke KW - Open Access KW - Open Source KW - Populationsgefährdungsanalyse KW - Skalierung KW - Simulationsframework KW - räumlich explizites Modell KW - Stethophyma grossum Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-582837 ER - TY - JOUR A1 - Noonan, Michael J. A1 - Fleming, Christen H. A1 - Tucker, Marlee A. A1 - Kays, Roland A1 - Harrison, Autumn-Lynn A1 - Crofoot, Margaret C. A1 - Abrahms, Briana A1 - Alberts, Susan C. A1 - Ali, Abdullahi H. A1 - Blaum, Niels T1 - Effects of body size on estimation of mammalian area requirements JF - Conservation Biology N2 - Accurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum. KW - allometry KW - animal movement KW - area-based conservation KW - autocorrelation KW - home range KW - kernel density estimation KW - reserve design KW - scaling Y1 - 2019 VL - 34 IS - 4 PB - Wiley-Blackwell CY - Oxford ER - TY - GEN A1 - Noonan, Michael J. A1 - Fleming, Christen H. A1 - Tucker, Marlee A. A1 - Kays, Roland A1 - Harrison, Autumn-Lynn A1 - Crofoot, Margaret C. A1 - Abrahms, Briana A1 - Alberts, Susan C. A1 - Ali, Abdullahi H. A1 - Blaum, Niels T1 - Effects of body size on estimation of mammalian area requirements T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Accurately quantifying species' area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1206 KW - allometry KW - animal movement KW - area-based conservation KW - autocorrelation KW - home range KW - kernel density estimation KW - reserve design KW - scaling Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-526824 SN - 1866-8372 IS - 4 ER - TY - JOUR A1 - Konrad-Schmolke, Matthias A1 - Halama, Ralf A1 - Manea, Vlad C. T1 - Slab mantle dehydrates beneath KamchatkaYet recycles water into the deep mantle JF - Geochemistry, geophysics, geosystems N2 - The subduction of hydrated slab mantle is the most important and yet weakly constrained factor in the quantification of the Earth's deep geologic water cycle. The most critical unknowns are the initial hydration state and the dehydration behavior of the subducted oceanic mantle. Here we present a combined thermomechanical, thermodynamic, and geochemical model of the Kamchatka subduction zone that indicates significant dehydration of subducted slab mantle beneath Kamchatka. Evidence for the subduction of hydrated oceanic mantle comes from across-arc trends of boron concentrations and isotopic compositions in arc volcanic rocks. Our thermodynamic-geochemical models successfully predict the complex geochemical patterns and the spatial distribution of arc volcanoes in Kamchatka assuming the subduction of hydrated oceanic mantle. Our results show that water content and dehydration behavior of the slab mantle beneath Kamchatka can be directly linked to compositional features in arc volcanic rocks. Depending on hydration depth of the slab mantle, our models yield water recycling rates between 1.1 × 103 and 7.4 × 103 Tg/Ma/km corresponding to values between 0.75 × 106 and 5.2 × 106 Tg/Ma for the entire Kamchatkan subduction zone. These values are up to one order of magnitude lower than previous estimates for Kamchatka, but clearly show that subducted hydrated slab mantle significantly contributes to the water budget in the Kamchatkan subduction zone. KW - rainfall-runoff KW - scaling KW - heterogeneity in soil hydraulic properties KW - surface sealing KW - run-on KW - patched vegetation cover Y1 - 2016 U6 - https://doi.org/10.1002/2016GC006335 SN - 1525-2027 VL - 17 SP - 2987 EP - 3007 PB - American Geophysical Union CY - Washington ER -