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In October 2015, the Cluster of Excellence 'Image Knowledge Gestaltung. An Interdisciplinary Laboratory' at Humboldt Universität zu Berlin staged a symposium entitled Science meets Comics. Academics from various disciplines converged along with artists from all over the world in order to discuss the future of global nutrition – and the medium of the comic strip as a communication tool for the complex issues in this field. The open two-day symposium was followed by a closed, three-day workshop wherein the artists and cluster members took up the issues raised at the symposium and worked on possible directions for the future.
Human-induced environmental change represents one of the major challenges of current and future generations. To evaluate the anthropogenic impacts on the biosphere, the concept of Planetary Boundaries was developed, indicating that in case of four out of nine environmental indicators a transgression of corresponding boundaries has already taken place: Biodiversity loss, climate change, land-system change, and biogeochemical flows. Further, paleoclimate research has shown that the earth´s environment has been relatively stable for the last 12,000 years. Researchers assume that this, in geological terms, very short period – called Holocene – is now already again replaced by a new geological era: the Anthropocene, due to the tremendous impacts humans had on earth.
Our daily food consumption is slowly but surely turning into the largest environmental threat. The agricultural sector consumes 70% of the water used by humankind. The production of meat consumes enormous amounts of water compared to plants. Innovations in the area of food production are lately summarized as AgTech, agricultural technology. This encompasses all sorts of areas, ranging from drone-controlled tractors to printed hamburgers. Specifically the challenge of making use of the limited areas available in cities and maximizing crop yields has seen a recent boom in novel approaches – and quite a bit of investor finance.
The Global Irrigation Model (GIM) is used within the framework of the global hydrological model WaterGAP to calculate monthly irrigation crop water use. Results on a 0.5 degrees grid include, consumption (ICU) and, via division by irrigation efficiencies, water withdrawal (IWU). The model distinguishes up to two cropping periods of rice and non-rice crops, each grown for 150 days, using a grid of area equipped for irrigation (AEI). Historical development of AEI and fraction of area actually irrigated (AAI) was previously considered via scaling of cell-specific results with country-specific factors for each year. In this study, GIM was adapted to use the new Historical Irrigation Data set (HID) with cell-specific AEI for 14 time slices between 1900 and 2005. AEI grids were temporally interpolated, and using the optional grid of AAI/AEI, results for years 1901-2014 were generated (runs "HID-ACT"). Thus, new installation or abandonment of irrigation infrastructure in new grid cells can be represented in a spatially explicit manner. For evaluated years 1910, 1960, 1995, and 2005, ICU from HID-ACT was superior to country-specific scaled results (run "HID-ACTHIST") in representing historical development of the spatial pattern. Compared to US state-level reference data, spatial patterns were better, while country totals were not always better. For calculating the cropping periods, 30-years climate means are needed, the choice of which is relevant. Four chosen periods before 1981-2010 all resulted in considerable, pertaining changes of ICU spatial pattern, and various percent changes in country totals. This might be because of already present climate change.
The paper broaches the issue of unfair trading practices (UTPs) at the expense of, economically spoken, weaker actors among the food supply chain in context of the EU. For illustrating the concept of UTPs and delivering a theoretical basis for scrutinizing the term of fairness in respective trading practices the paper suggests the three variables 1) bargaining power, 2) market power/anti competitive practices and 3) unequal gain distribution. Subsequently the article presents selected national food-specific legislative based reactions towards UTPs evolved in context of the three variables. Ultimately the paper presents a qualitatively generated hypothesis which presumes that legislative food-specific measurements focussing on protecting suppliers lead to a beneficial monetary share for farmers, by means of influencing the producer price to a monetarily advantageous extent. The hypothesis was generated unprejudiced in the run-up to the paper. The research design which led to the hypothesis mentioned will be presented.
Agriculture of crops provides more than 85% of the energy in human diet, while also securing income of more than 2.6 billion people. To investigate past, present and future changes in the domain of food security, water resources and water use, nutrient cycles, and land management it is required to know the agricultural land use, in particular which crop grows where and when. The current global land use or land cover data sets are based on remote sensing and agricultural census statistics. In general, these only contain one or very few classes of agricultural land use. When crop-specific areas are given, no distinction of irrigated and rainfed areas is made, whereas it is necessary to distinguish rainfed and irrigated crops, because crop productivity and water use differ significantly between them.
To support global-scale assessments that are sensitive to agricultural land use, the global data set of Monthly Irrigated and Rainfed Crop Areas around the year 2000 (MIRCA2000) was developed by the author. With a spatial resolution of 5 arc-minutes (approximately 9.2 km at the equator), MIRCA2000 provides for the first time, spatially explicit irrigated and rainfed crop areas separately for each of the 26 crop classes for each month of the year, and includes multi-cropping. The data set covers all major food crops as well as cotton, while the remaining crops are grouped into three categories (perennial, annual and fodder grasses). Also for the first time, crop calendars on national or sub-national level were consistently linked to annual values of harvested area at the 5 arc-minutes grid cell level, such that monthly growing areas could be computed that are representative for the time period 1998 to 2002.
The downscaling algorithm maximizes the consistency to the grid-based input data of cropland extent [Ramankutty et al., 2008], crop-specific total annual harvested area [Monfreda et al., 2008], and area equipped for irrigation [Siebert et al., 2007]. In addition to the methodology, this dissertation describes differences to other datasets and standard scaling methods, as well as some applications. For quality assessment independent datasets and newly developed quality parameters are used, and scale effects are discussed.
Supplementary Appendices document crop calendars for irrigated and rainfed crops for each of the 402 spatial units (Appendix I), data sources of harvested area and of cropping periods for irrigated crops, country by country (Appendix K), as well as data quality parameters (Appendix L, including spreadsheet files).
The estimation model PhytoCalc allows a non-destructive quantification of dry weight and nutrient pools of understorey plants in forests by using the relationship between species biomass, cover and mean shoot length. The model has been validated with independent samples in several German forest types and can be a useful tool in forest monitoring. However, in open areas within forests (e.g. clearcuts), the current model version underestimates biomass and produces unreliable nutrient pool estimations. Thus, tissue density, as approximated by leaf dry matter content (LDMC), is systematically higher under high light compared to low light conditions. We demonstrate that the ratio of LDMC under clearcut conditions to LDMC under forest conditions can be used to adjust the PhytoCalc model to clearcut conditions. We investigated the LDMC ratio of five exemplary species commonly occurring on clearcuts. Integrating the square of the ratio as a correction factor improved estimates of biomass to more than 70% fit between observations and predictions. Results also suggest this ratio can be used to correct nutrient concentrations modelled in PhytoCalc, which tend to be overestimated in clearcuts. As morphological groups of plant species exhibit significantly different ratios, we advise using group-specific correction factors for clearcut adjustments in the future.
This study presents a global scale analysis of cropping intensity, crop duration and fallow land extent computed by using the global dataset on monthly irrigated and rainfed crop areas MIRCA2000. MIRCA2000 was mainly derived from census data and crop calendars from literature. Global cropland extent was 16 million km2 around the year 2000 of which 4.4 million km2 (28%) was fallow, resulting in an average cropping intensity of 0.82 for total cropland extent and of 1.13 when excluding fallow land. The lowest cropping intensities related to total cropland extent were found for Southern Africa (0.45), Central America (0.49) and Middle Africa (0.54), while highest cropping intensities were computed for Eastern Asia (1.04) and Southern Asia (1.0). In remote or arid regions where shifting cultivation is practiced, fallow periods last 3–10 years or even longer. In contrast, crops are harvested two or more times per year in highly populated, often irrigated tropical or subtropical lowlands where multi-cropping systems are common. This indicates that intensification of agricultural land use is a strategy that may be able to significantly improve global food security. There exist large uncertainties regarding extent of cropland, harvested crop area and therefore cropping intensity at larger scales. Satellite imagery and remote sensing techniques provide opportunities for decreasing these uncertainties and to improve the MIRCA2000 inventory.
The leaf beetle Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae), (D.v.v.), also called the western corn rootworm, is endemic to the New World and ranks among the top ten insect pests in worldwide grain production. D.v.v. causes annual damages of 1 billion US Dollars and is a notoriously difficult insect pest to control and manage, as entomological history of the past 50 years amply demonstrates (METCALF 1986). Considering recent emphasis on environmentally compatible and sustainable management strategies, entomologists and practitioners are encouraged to pay increased attention to novel approaches such as biotechnial methods which today are characterized by preferential use of signal compounds. Fortunately, both insect and plants provide a wide variety of such natural resources. In the case of D.v.v., sex pheromonesand plant kairomones as specific attractants and management tools are relatively well investigated through numerous contributions by GUSS et al. (1982), METCALF & METCALF (1992), METCALF (1994) and many recent publications on the advance and spread of D.v.v. within Europe (BERGER 1995-2004, HUMMEL 2003). Principle of MSD method: In this paper, the plant kairomone 4-methoxycinnamaldehyde (MCA), a specific attractant for D.v.v., is being used as a tool within the newly proposed "MSD" strategy. It combines a two pronge approach consisting as the well known mass trapping with the novel shielding and deflecting, called in short "diversion" and introduced here for the first time. An invisible “curtain” or “fence” of MCA vapor released from a MCA trap line establishes a behavioral barrier which the flying beetles cannot easily pass without being 1. either caught in one of the high capacity traps or 2. being diverted elsewhere. The net effect is a significant reduction in adult population density and oviposition within the MCA treated field as compared to an untreated control field. These effects can be experimentally measured by 1. adult beetle counts on maize plants, 2. by counts in independent monitoring traps baited with the D.v.v. sex pheromone, and 3. by egg counts taken in soil samples.
Obwohl Böden unzweifelhaft ein signifikanter Pool von organischem Kohlenstoff sind, ist ihre Bedeutung als potenzielle langfristige Senke für atmosphärischen Kohlenstoff keineswegs klar. Trotz bedeutender wissenschaftlicher Forschritte aus den letzten Jahren zur Klärung der Kohlenstoffdynamik in Böden gibt es nach wie vor offene Fragen insbesondere hinsichtlich der spezifischen geochemischen Mechanismen, die für die Stabilisierung organischen Kohlenstoffs in Böden verantwortlich sind. Vor diesem Hintergrund besteht ein wesentliches Ziel der vorliegenden Dissertation darin, in unterschiedlichen Bodentypen die Konzentration von organischem Kohlenstoff und Stickstoff sowie die mineralogische Zusammensetzung zu untersuchen, um Hinweise auf einen möglichen Einfluss der Tonmineralogie, der spezifischen Oberfläche und der Oxidkonzentration auf die Stabilisierung organischen Materials zu ermitteln. Die Ergebnisse sollen einen Beitrag dazu liefern, die Mechanismen der Fixierung organischer Substanz in Böden besser zu verstehen und das vorhandene Wissen hierüber zu erweitern. Hierzu wurden fünf verschiedene Bodenprofile aus Hessen mit unterschiedlicher mineralogischer Zusammensetzung untersucht. Um die Auswirkungen verschiedener physikalischer und geochemischer Faktoren auf den Gehalt organischer Substanz in den untersuchten Böden festzustellen, wurden folgende Parameter untersucht: -Tonmineralogie, -organische Kohlenstoff- und Stickstoff-Konzentrationen, -%-Kationensättigung, -spezifische Oberfläche, -dithionit- und oxalatlösliche Gehalte an Fe, Al und Mn. Anhand dieser Parameter wurden weiterführende statistische Analysen unter Verwendung der Statistiksoftware SPSS für Windows durchgeführt, um mögliche statistische Zusammenhänge aufzudecken, die für die Stabilisierung von organischem Kohlenstoff in den betrachteten Böden verantwortlich sind. Die im Rahmen der vorliegenden Dissertation ermittelten Ergebnisse zeigen, dass der Tonanteil und die Tonmineralogie der untersuchten Böden nur einen begrenzten Einfluss auf die Stabilisierung organischer Substanz haben. Weiterhin wird gezeigt, dass die in der Literatur propagierte Beziehung zwischen spezifischer Oberfläche und der Konzentration organischen Kohlenstoffs nicht auf alle Böden anwendbar ist. Die Ergebnisse deuten darauf hin, dass die Präsenz von amorphen Eisen- und Aluminiumoxiden der wichtigste Einflussfaktor für die Fixierung von organischem Material in den untersuchten Böden ist. Die größeren Konzentrationen von organischem Kohlenstoff in den kleinsten Fraktionen (Feinschluff und Ton) der Profile sind vor allem darauf zurückzuführen, dass Oxide ebenfalls in diesen Fraktionen aufzufinden sind. Tonminerale haben demnach eine sekundäre Bedeutung, indem sie Komplexe mit den Oxiden bilden, die zur Stabilisierung von organischer Substanz führen können. Insgesamt deuten die Ergebnisse daraufhin, dass Böden keine geeignete Senke für die langfristige Speicherung von organischem Kohlenstoff sind. Obwohl Mechanismen wie die Adsorption von organischer Substanz an Oxide die Stabilisierung organischen Materials unterstützen, scheinen diese nicht stark genug zu sein, um eine permanente Speicherung von organischem Kohlenstoff zu bewirken.