Description: Background: Agriculture is a large and dynamic sector, essential for the supply of the population and thus in a complex area of tension. The growing population and the resulting need for optimization, greater efficiency and intensification are in direct conflict with the demand for sustainability, environmental compatibility and, above all, mitigation of climate change and its consequences. Precision agriculture can make a decisive contribution to increasing efficiency in particular. Because through the targeted and demand-oriented application of fertilizers and pesticides, but also spatially variable sowing, resources can be used better and in the best case even increase yields. Above all, if fertilizers are applied in the way that the plants need and can absorb them, in contrast to uniform application across the entire field, a surplus that can be washed into the groundwater can be avoided. A basis is therefore needed on which this variable application of resources can be determined. In practice, maps of current condition in the form of zones in the field or on-the-go measurements from sensors on the tractor are often used here. However, for comprehensive planning and holistic cultivation of crop, current and past spatial information maps, such as zone maps, are necessary. Satellite data are a data basis for such zones, as they are available in various types, current and retrospective and cover large areas spatially. Objective: This work explores possibilities to derive this zoning from satellite data and developes different approaches. The interrelations between satellite data, geoinformation data and agricultural data such as yield will be investigated and combined. The focus of the method development is the applicability in practice and the associated requirements of the farmer. Data: For method development and analysis 179 RapidEye scenes, 512 Landsat scenes, 43 Sentinel-2 scenes and 21 Planetscope scenes were used. Furthermore, the soil map „Bodenschätzung“, which not only transmits the information about the respective soil type, but also a quantification of the fertility respectively the yield potential in the form of „Bodenzahl“ and „Ackerzahl“. Digital terrain models in different spatial resolutions were used as well as in-situ measurements of nutrients, electrical conductivity and phenology. Methods and Results: In this thesis two methods and a data analysis are presented. The first method uses only optical satellite data (RapidEye) and processes these automatically into five relative yield zones, which reflect the expected relative yield averaged over several years. The method independently selects the appropriate data sets for a prescribed field, using different thresholds resulting from the reflectance values of individual bands. The zones are then separated on the basis of quantile values using an synthetic, averaged raster of the near infrared bands. The method is validated with actual yield data using the characteristics of box plots. The yield zones generated can then be used as management zones in precision farming. The second method also generates relative yield zones, suitable for use as a management zone, using RapidEye satellite data as well as soil map and relief information. This data fusion for yield zone modeling is based on belief structures and uses the Transferable Belief Model. Thus, individual expert knowledge from practical agriculture can be integrated into the fusion process. The knowledge generated in the course of method development about the relationship between remote sensing and GIS data and the actual yield on the field will be extended and consolidated in a large-scale data analysis with a time series of 13 years and 755 satellite scenes. It shows that there is a strong correlation between satellite data and yield data (up to a correlation value of r = 0.75, some values even higher). However, this correlation depends strongly on the phenological timing of - in this case - cereals and canola. In addition, the spectral and spatial resolution, as well as the growing conditions and the soil available water. Conclusion: Satellite data are very well suited for agricultural applications and for the derivation of management zones for precision crop cultivation. However, a lot of expert knowledge has to be applied in the selection of the appropriate remote sensing data as well as in the processing and methodology. The scientific and practical use of remote sensing data should be adapted to the specific problem and external conditions.

Description: Hintergrund: Die Landwirtschaft ist ein großer und dynamischer Sektor, essentiell für die Versorgung der Bevölkerung und dadurch in einem komplexen Spannungsfeld. Die steigende Bevölkerung und der dadurch bestehende Bedarf an Optimierung, mehr Effizienz und Intensivierung steht im direkten Konflikt mit dem Anspruch nach Nachhaltigkeit, Umweltverträglichkeit aber vor allem der Eindämmung des Klimawandels und seiner Folgen. Gerade bei Fragen der Effizienzsteigerung kann der Bereich der Präzisionslandwirtschaft einen entscheidenden Beitrag leisten. Denn durch die gezielte und bedarfsorientierte Anwendung von Dünger und Pflanzenschutzmitteln, aber auch die gezielte und räumlich variable angepasste Aussaat, können Ressource besser genutzt werden und im besten Falle den Ertrag sogar steigern. Vor allem wenn Düngemittel so ausgebracht werden, wie die Pflanzen ihn benötigen und aufnehmen können, im Gegensatz zu einer uniformen Ausbringung über das ganze Feld hinweg, kann ein Überschuss, welcher in das Grundwasser ausgewaschen werden kann, vermieden werden. Es braucht also eine Grundlage, auf welcher diese variable Ausbringung von Ressourcen bestimmt wird. Hier werden in der Praxis oft Zustandskarten in Form von Zonen im Feld verwendet oder „on-the-go“-Messungen von Sensoren auf dem Traktor. Für die umfassende Planung und eine holistische Bearbeitung der Bestände sind aber aktuelle und zurückliegende, wie zusammenfassende Zustandskarten, beziehungsweise Zonenkarten nötig. Eine Datengrundlage für solche Zonen sind Satellitendaten, da sie in verschiedenster Art, aktuell und retroperspektiv vorliegen und große Flächen räumlich erfassen. Ziel: Diese Arbeit erforscht Möglichkeiten aus Satellitendaten eben diese Zonierung abzuleiten und sucht dabei verschiedene Herangehensweisen. Es sollen die Zusammenhänge zwischen Satellitendaten, Daten der Geoinformation und landwirtschaftlicher Daten wie Ertrag untersucht und miteinander kombiniert werden. Im Fokus der Methodenentwicklung steht die Anwendbarkeit in der Praxis und die somit einhergehenden Anforderungen des Landwirtes. Daten: Für die Methodenentwicklung und die Analyse wurden 179 RapidEye Szenen, 512 Landsat-Szenen, 43 Sentinel-2 Szenen und 21 Planetscope-Szenen verwendet. Weiterhin die Bodenkarte Bodenschätzung, welche nicht nur die Informationen über die jeweilige Bodenart übermittelt, aber auch eine Quantifizierung der Fruchtbarkeit beziehungsweise des Ertragspotentials in Form von „Bodenzahl“ und „Ackerzahl“. Digitale Geländemodell in unterschiedlichen räumlichen Auflösungen wurden verwendet, ebenso wie in-situ-Messungen von Nährstoffen, elektrischer Leitfähigkeit und Phänologie. Methoden und Ergebnisse: In dieser Doktorarbeit werden zwei Methoden und eine Datenanalyse vorgestellt. Die erste Methode verwendet einzig optische Satellitendaten (RapidEye) und verarbeitet diese automatisiert zu fünf relativen Ertragszonen, welche den zu erwartenden relativen Ertrag gemittelt über mehrere Jahre spiegelt. Die Methode wählt dabei eigenständig die passenden Datensätze für ein vorgeschriebenes Feld aus, unter Verwendung verschiedener Schwellwerte, die sich aus den Rückstrahlwerten einzelner Bänder ergeben. Auf Basis eines gemittelten Rasters der Bänder des nahen Infrarots werden dann auf Basis von Quartilswerten die Zonen separiert. Die Methode wird mit tatsächlichen Ertragsdaten mithilfe der Charakteristika von Boxplots validiert Die erzeugten Ertragszonen können dann als Bearbeitungszonen in der Präzisionslandwirtschaft verwendet werden. Die zweite Methode erzeugt ebenfalls relative Ertragszonen, geeignet für die Verwendung als Management Zone, verwendet neben RapidEye Satellitendaten auch die Informationen der Bodenkarte und des Reliefs. Diese Datenfusion zur Modellierung von Ertragszonen basiert auf Überzeugungsstrukturen und verwendet das Transferable Belief Model. Somit kann individuelles Expertenwissen aus der praktischen Landwirtschaft in den Fusionsprozess integrieren werden. Die Erkenntnisse, die im Laufe der Methodenentwicklung über die Zusammenhänge von Fernerkundungs- und GIS Daten und dem tatsächlichen Ertrag auf dem Feld generiert wurden, werden in einer großangelegten Datenanalyse mit einer Zeitreihe von 13 Jahren und 755 Satellitenszenen erweitert und gefestigt. Sie zeigt, dass es einen starken Zusammenhang zwischen Satellitendaten und Ertragsdaten gibt (bis zu einem Korrelationswert von r = 0.75, einzelne Werte höher). Diese Korrelation hängt aber stark ab vom phänologischen Zeitpunkt von – in diesem Falle – Getreide und Raps. Außerdem von der spektralen und räumlichen Auflösung, sowie den Wachstumsbedingungen und dem bodenverfügbaren Wasser. Fazit: Satellitendaten eignen sich sehr gut für die Anwendung in der Landwirtschaft und für die Ableitung von Bearbeitungszonen für den Präzisionspflanzenbau. Allerdings muss in der Auswahl der passenden Fernerkundungsdaten und auch der Verarbeitung und Methodik viel Expertenwissen angewandt werden. Die wissenschaftliche und praktische Verwendung von Fernerkundungsdaten sollte an die spezifische Fragestellung und die äußeren Bedingungen angepasst werden.

Description: Open Access, Open Research Data und Open Research Software: Diese Themen prägen die aktuellen Diskussionen zu Open Science in der Helmholtz-Gemeinschaft. Doch an welchen Indikatoren lässt sich der Kulturwandel hin zu Open Science festmachen? Und welche Anreize setzen Indikatoren für die Entwicklung von Open Access? Diesen und weiteren Fragen widmete sich das virtuelle Helmholtz Open Science Forum unter dem Motto „Indikatoren für Open Science“ am 20. Januar 2021. Im Zuge der Veranstaltung wurden anhand von Impuls- und Praxisvorträgen Indikatoren für Open Science vorgestellt, untersucht und mit einem breiten Publikum aus der Helmholtz-Gemeinschaft diskutiert. Dieser Report fasst die Vorträge und Diskussionen des Forums zusammen und bietet eine Basis für weitere Entwicklungen des Themenfeldes in der Gemeinschaft.

Description: Report of Opening Session. Report of Governing Council. Report of the Finance and Administration Committee. Reports of Science Board and Committees. Report of the Climate Change and Carrying Capacity Scientific Program. Reports of Expert Groups. Session Summaries. Participants. PICES Members. PICES Acronyms.

Description: By whichever means we explore Earth from its surface, the information gained about our planet’s interior is always indirect, a model put together using multiple types of evidence. Drilling is the only way to verify such models against reality. However, drilling and retrieving samples and data is costly, complex, and sometimes dangerous - this is exactly where the International Continental Scientic Drilling Program (ICDP) comes in. The goal of the ICDP is to encourage Earth scientists to use the investigative tool of scientic drilling to test models from information gathered at the Earth’s surface. Given the typically high cost of drilling and of research in boreholes, it is clear that any proposals for drilling with ICDP’s help must address substantial scientific questions with a strong focus on societal needs. This Science Plan lays out some of the most important issues that ICDP aims to investigate over the next decade. The key questions address fundamental science, but many also link to wider societal challenges encompassed in the United Nations Sustainable Development Goals (SDGs). In particular, ICDP projects can provide important information to underpin the SDGs related to clean water and sanitation, affordable and clean energy, sustainable cities and communities, and climate action.

Description: The evaluation of decadal climate predictions against observations is crucial for their benefit to stakeholders. While the skill of such forecasts has been verified for several atmospheric variables, land-hydrological states such as terrestrial water storage (TWS) have not been extensively investigated yet due to a lack of long observational records. Anomalies of TWS are globally observed with the satellite missions GRACE (2002 - 2017) and GRACE-FO (since 2018). By means of a GRACE-like reconstruction of TWS available over 41 years, we demonstrate that this data type can be used to evaluate the skill of decadal prediction experiments made available from different Earth System Models as part of both CMIP5 and CMIP6. Analysis of correlation and root-mean-square deviation (RMSD) reveals that for the global land average the initialized simulations outperform the historical experiments in the first three forecast years. This predominance originates mainly from equatorial regions where we assume a longer influence of initialization due to longer soil memory times. Evaluated for individual grid cells, the initialization has a largely positive effect on the forecast year 1 TWS states, however, a general grid-scale prediction skill for TWS of more than two years could not be identified in this study for CMIP5. First results from decadal hindcasts of three CMIP6 models indicate a predictive skill comparable to CMIP5 for the multi-model mean in general, and a distinct positive influence of the improved soil-hydrology scheme implemented in the MPI-ESM for CMIP6 in particular.

Description: Coastal ecosystems are increasingly impacted by man-made disturbances including pollution from agriculture, aquaculture and municipal waste. This study employed multiple ecological indicators to assess environmental quality of the Densu Estuary and understanding of environmental controls on the spatial distribution of organisms. Physicochemical parameters were measured in situ. Water and sediment samples were collected from ten stations and analysed for nutrients, total suspended solids and organisms using standard methods. The water quality index for the Densu Estuary ranged from 359.5 to 484.4, suggesting an unhealthy ecosystem. The abundance of indicator species, e.g. faecal bacteria (Escherichia coli, Enterococcus species) and polychaetes (Capitella and Nereis species) varied significantly (p〈0.05) among stations. Contaminated sites are located landwards with high human impacts. Faecal bacteria and polychaete abundance correlated significantly (p〈0.05) with the respective physicochemical parameters. Canonical analysis (74.11%) showed the physicochemical influence on the spatial distribution of species. The pH significantly (p〈0.05) controlled the spatial distribution of faecal bacteria and polychaetes in the Densu Estuary. The results suggest environmental pollution in the Densu Estuary, useful baseline information for effective legislation towards its sustainable management.

Description: We conduct a systematic, interdisciplinary review of empirical literature assessing evidence on induced innovation in energy and related technologies. We explore links between demand-drivers (both market-wide and targeted); indicators of innovation (principally, patents); and outcomes (cost reduction, efficiency, and multi-sector/macro consequences). We build on existing reviews in different fields and assess over 200 papers containing original data analysis. Papers linking drivers to patents, and indicators of cumulative capacity to cost reductions (experience curves), dominate the literature. The former does not directly link patents to outcomes; the latter does not directly test for the causal impact of on cost reductions). Diverse other literatures provide additional evidence concerning the links between deployment, innovation activities, and outcomes. We derive three main conclusions. (1) Demand-pull forces enhance patenting; econometric studies find positive impacts in industry, electricity and transport sectors in all but a few specific cases. This applies to all drivers - general energy prices, carbon prices, and targeted interventions that build markets. (2) Technology costs decline with cumulative investment for almost every technology studied across all time periods, when controlled for other factors. Numerous lines of evidence point to dominant causality from at-scale deployment (prior to self-sustaining diffusion) to cost reduction in this relationship. (3) Overall Innovation is cumulative, multi-faceted, and self-reinforcing in its direction (path-dependent). We conclude with brief observations on implications for modeling and policy. In interpreting these results, we suggest distinguishing the economics of active deployment, from more passive diffusion processes, and draw the following implications. There is a role for policy diversity and experimentation, with evaluation of potential gains from innovation in the broadest sense. Consequently, endogenising innovation in large-scale models is important for deriving policy-relevant conclusions. Finally, seeking to relate quantitative economic evaluation to the qualitative socio-technical transitions literatures could be a fruitful area for future research.

Description: Sicydiinae species are amphidromous gobies, adults spawn in freshwater, whereas free embryos undergo a pelagic open sea phase. Post-larvae or juveniles are caught for human consumption when entering in freshwater after their pelagic larvae life in seawater. Such goby-fry fisheries are existing since centuries and widespread in tropical areas over the world. There are uncertainties related to caught volumes and trends but, overall, go-fry fisheries are declining and their sustainability is questionable. Aquaculture is a potential tool in conservation and management of wild goby stocks. Among Sicydiinae species, the red-tailed goby Sicyopterus lagocephalus is the most spread and used as a model species in numerous works involving amphidromous fish. The aim of the study was to evaluate the potential in aquaculture of the red-tailed goby through the analysis of the literature available on this species. We found that this species has some assets to be a potential candidate for aquaculture such as a short production cycle and a high fecundity as well as potential high market values. Nevertheless, given the small size at hatching and the long pelagic larval life, larval rearing is likely to be a challenging rearing phase but appears to be feasible based on past experiences with other goby species. Throughout the paper, we provided recommendations for future research in red-tailed goby aquaculture.

Description: The polar seas are generally ice-covered waters with highly seasonal weather conditions, temperature, formation and extent of sea ice. To date, more than 8,000 marine species are estimated to occur in these waters (5,782–Arctic;〉 8,200–Antarctic). A collaboration with the Alfred-Wegener-Institut resulted in a preliminary list of marine species in the polar seas (7,710 species), collated from published documentation and made available via FishBase and SeaLifeBase. This list includes 533 species of bony fishes, 10 sharks, 17 rays, 208 vertebrates (whales, dolphins and sea birds), and at least 6,816 invertebrates and 114 plant species. This report includes the polar sea species list, their marine ecoregions, and an overview of available data on ecology, life history, and population dynamics.