Biohöfe als Ausgangspunkte informeller Lernprozesse

Die Arbeit befasst sich mit der Frage nach dem Einfluss von Biohöfen auf die Menschen, die in ihrem Umfeld leben. Sie bietet Einblicke in die Zusammenhänge, in denen Nachbarn, Kollegen, Freunde oder Kunden einen Biohof gezielt oder eher zufällig nutzen, um hier informell Erfahrungen zu sammeln, die zu nachhaltigen Lebennstilen und Wirtschaftsweisen beitragen können. Im Rahmen von sechs Fallstudien wurden hierfür ökologisch wirtschaftende Landwirtschaftsbetriebe in Brandenburg im Hinblick auf die informelle Vermittlung von Wissen und Erfahrungen qualitativ untersucht. Mit Hilfe der Grounded Theory wird die Entstehung von informellen Lernprozessen im sozialen Umfeld der Höfe rekonstruiert. Neben dem empirischen Ausgangsmaterial erwiesen sich die handlungstheoretischen Konstrukte Lebenswelt, Habitus, Lebensstil und Lebensführung als hilfreicher Interpretationshintergrund. Mit diesen theoretischen Ansätzen werden die soziokulturellen Einflussfaktoren für Erfahren, Lernen und Vermitteln betont. Informelles Lernen wird so als ein sozial eingebetteter Prozess verstanden. Aus dieser, weniger subjektorientierten Perspektive treten dann Faktoren wie z.B. die Atmosphäre der Beziehung zwischen einer Person und dem Biohof, die sinnliche Wahrnehmung und die Art der Kommunikation in das Blickfeld der Analyse. In der Untersuchung wird eine Vielzahl von Verhaltensänderungen, Denkanstößen und Anregungen benannt, die im Zusammenhang mit den untersuchten Biohöfen geschildert wurden und die im Hinblick auf eine nachhaltige Entwicklung als förderlich eingeschätzt werden. Sie basieren, so der Ansatz der Arbeit, auf informellen Lernprozessen. Das zentrale Ergebnis der Fallanalysen ist eine strukturierte Zusammenstellung der im Untersuchungskontext relevanten Einflussfaktoren für erfolgreiches informelles Lernen. Als wesentliche erscheinen hierbei insbesondere zwei Variablen: zum einen hat sich das „wohlwollende Interesse“ als förderlich für das Zustandekommen und den Verlauf von informellen Lernprozessen herausgestellt. Mit diesem Begriff wird eine Einstellung dem Biohof gegenüber beschrieben, die ein Wohlgesonnensein, das Vertrauen und die Neugierde am Hof beinhaltet. Zum anderen scheint die „Erlebbarkeit“ der Angebote zur Wissensvermittlung für das informelle, habitus- und lebensstilbezogene Lernen bedeutsam zu sein. Ergänzend zu dem auf die lernenden Subjekte gerichteten Fokus wurden in der Forschungsarbeit auch Beweggründe der Betriebsleiter, für die jeweils praktizierte Wissens- und Erfahrungsvermittlung herausgearbeitet. Die Betrachtung wird durch die Zusammenstellung von Schwierigkeiten und Hindernissen abgerundet, die dem informellen Lernen vom Biohof entgegen stehen können. Ausgehend von den fallbezogenen Ergebnissen liefert die Arbeit damit eine Grundlage, um über die Bedeutung von Lernfeldern, die durch Biolandwirte, aber auch andere Akteursgruppen bereit gestellt werden, nachzudenken und um ihre gesellschaftliche Relevanz zu diskutieren.

Management approaches in organic potato and tomato production

The presented thesis considered three different system approach topics to ensure yield and plant health in organically grown potatoes and tomatoes. The first topic describes interactions between late blight (Phytophthora infestans) incidence and soil nitrogen supply on yield in organic potato farming focussing in detail on the yield loss relationship of late blight based on results of several field trials. The interactive effects of soil N-supply, climatic conditions and late blight on the yield were studied in the presence and absence of copper fungicides from 2002-2004 for the potato cultivar Nicola. Under conditions of central Germany the use of copper significantly reduced late blight in almost all cases (15-30 %). However, the reductions in disease through copper application did not result in statistically significant yield increases (+0 – +10 %). Subsequently, only 30 % of the variation in yield could be attributed to disease reductions. A multiple regression model (R²Max), however, including disease reduction, growth duration and temperature sum from planting until 60 % disease severity was reached and soil mineral N contents 10 days after emergence could explain 75 % of the observed variations in yield. The second topic describes the effect of some selected organic fertilisers and biostimulant products on nitrogen-mineralization and efficiency, yield and diseases in organic potato and tomato trials. The organic fertilisers Biofeed Basis (BFB, plant derived, AgroBioProducts, Wageningen, Netherlands) and BioIlsa 12,5 Export (physically hydrolysed leather shavings, hair and skin of animals; ILSA, Arizignano, Italy) and two biostimulant products BioFeed Quality (BFQ, multi-compound seaweed extract, AgroBioProducts) and AUSMA (aqueous pine and spruce needle extract, A/S BIOLAT, Latvia), were tested. Both fertilisers supplied considerable amounts of nitrogen during the main uptake phases of the crops and reached yields as high or higher as compared to the control with horn meal fertilisation. The N-efficiency of the tested fertilisers in potatoes ranged from 90 to 159 kg yield*kg-1 N – input. Most effective with tomatoes were the combined treatments of fertiliser BFB and the biostimulants AUSMA and BFQ. Both biostimulants significantly increased the share of healthy fruit and/or the number of fruits. BFQ significantly increased potato yields (+6 %) in one out of two years and reduced R. solani-infestation in the potatoes. This suggests that the biostimulants had effects on plant metabolism and resistance properties. However, no effects of biostimulants on potato late blight could be observed in the fields. The third topic focused on the effect of suppressive composts and seed tuber health on the saprophytic pathogen Rhizoctonia solani in organic potato systems. In the present study 5t ha-1 DM of a yard and bio-waste (60/40) compost produced in a 5 month composting process and a 15 month old 100 % yard waste compost were used to assess the effects on potato infection with R. solani when applying composts within the limits allowed. Across the differences in initial seed tuber infestation and 12 cultivars 5t DM ha-1 of high quality composts, applied in the seed tuber area, reduced the infestation of harvested potatoes with black scurf, tuber malformations and dry core tubers by 20 to 84 %, 20 to 49 % and 38 to 54 %, respectively, while marketable yields were increased by 5 to 25 % due to lower rates of wastes after sorting (marketable yield is gross yield minus malformed tubers, tubers with dry core, tubers with black scurf > 15% infested skin). The rate of initial black scurf infection of the seed tubers also affected tuber number, health and quality significantly. Compared to healthy seed tubers initial black scurf sclerotia infestation of 2-5 and >10 % of tuber surface led in untreated plots to a decrease in marketable yields by 14-19 and 44-66 %, a increase of black scurf severity by 8-40 and 34-86 % and also increased the amount of malformed and dry core tubers by 32-57 and 109-214 %.

Horizontal nutrient fluxes and production efficiencies in urban and peri-urban crop and livestock husbandry of Niamey, Niger

Urban and peri-urban agriculture (UPA) increasingly supplies food and non-food values to the rapidly growing West African cities. However, little is known about the resource use efficiencies in West African small-scale UPA crop and livestock production systems, and about the benefits that urban producers and retailers obtain from the cultivation and sale of UPA products. To contribute to filling this gap of knowledge, the studies comprising this doctoral thesis determined nutrient use efficiencies in representative urban crop and livestock production system in Niamey, Niger, and investigated potential health risks for consumers. Also assessed was the economic efficiency of urban farming activities. The field study, which was conducted during November 2005 to January 2008, quantified management-related horizontal nutrient flows in 10 vegetable gardens, 9 millet fields and 13 cattle and small ruminant production units. These farms, selected on the basis of a preceding study, represented the diversity of UPA crop and livestock production systems in Niamey. Based on the management intensity, the market orientation and especially the nutrient input to individual gardens and fields, these were categorized as high or low input systems. In the livestock study, high and low input cattle and small ruminant units were differentiated based on the amounts of total feed dry matter offered daily to the animals at the homestead. Additionally, economic returns to gardeners and market retailers cultivating and selling amaranth, lettuce, cabbage and tomato - four highly appreciated vegetables in Niamey were determined during a 6-months survey in forty gardens and five markets. For vegetable gardens and millet fields, significant differences in partial horizontal nutrient balances were determined for both management intensities. Per hectare, average annual partial balances for carbon (C), nitrogen (N), phosphorus (P) and potassium (K) amounted to 9936 kg C, 1133 kg N, 223 kg P and 312 kg K in high input vegetable gardens as opposed to 9580 kg C, 290 kg N, 125 kg P and 351 kg K in low input gardens. These surpluses were mainly explained by heavy use of mineral fertilizers and animal manure to which irrigation with nutrient rich wastewater added. In high input millet fields, annual surpluses of 259 kg C ha-1, 126 kg N ha-1, 20 kg P ha-1 and 0.4 kg K ha-1 were determined. Surpluses of 12 kg C ha-1, 17 kg N ha-1, and deficits of -3 kg P ha-1 and -3 kg K ha-1 were determined for low input millet fields. Here, carbon and nutrient inputs predominantly originated from livestock manure application through corralling of sheep, goats and cattle. In the livestock enterprises, N, P and K supplied by forages offered at the farm exceeded the animals’ requirements for maintenance and growth in high and low input sheep/goat as well as cattle units. The highest average growth rate determined in high input sheep/goat units was 104 g d-1 during the cool dry season, while a maximum average gain of 70 g d-1 was determined for low input sheep/goat units during the hot dry season. In low as well as in high input cattle units, animals lost weight during the hot dry season, and gained weight during the cool dry season. In all livestock units, conversion efficiencies for feeds offered at the homestead were rather poor, ranging from 13 to 42 kg dry matter (DM) per kg live weight gain (LWG) in cattle and from 16 to 43 kg DM kg-1 LWG in sheep/goats, pointing to a substantial waste of feeds and nutrients. The economic assessment of the production of four high value vegetables pointed to a low efficiency of N and P use in amaranth and lettuce production, causing low economic returns for these crops compared to tomato and cabbage to which inexpensive animal manure was applied. The net profit of market retailers depended on the type of vegetable marketed. In addition it depended on marketplace for amaranth and lettuce, and on season and marketplace for cabbage and tomato. Analysis of faecal pathogens in lettuce irrigated with river water and fertilized with animal manure indicated a substantial contamination by Salmonella spp. with 7.2 x 104 colony forming units (CFU) per 25 g of produce fresh matter, while counts of Escherichia coli averaged 3.9 x 104 CFU g-1. In lettuce irrigated with wastewater, Salmonella counts averaged 9.8 x 104 CFU 25 g-1 and E. coli counts were 0.6 x 104 CFU g-1; these values exceeded the tolerable contamination levels in vegetables of 10 CFU g-1 for E. coli and of 0 CFU 25 g-1 for Salmonella. Taken together, the results of this study indicate that Niamey’s UPA enterprises put environmental safety at risk since excess inputs of N, P and K to crop and livestock production units favour N volatilisation and groundwater pollution by nutrient leaching. However, more detailed studies are needed to corroborate these indications. Farmers’ revenues could be significantly increased if nutrient use efficiency in the different production (sub)systems was improved by better matching nutrient supply through fertilizers and feeds with the actual nutrient demands of plants and animals.

A Modeling Analysis of Changing Global Land Use as affected by Changing Demands for Wood Products

The 21st century has brought new challenges for forest management at a time when globalization in world trade is increasing and global climate change is becoming increasingly apparent. In addition to various goods and services like food, feed, timber or biofuels being provided to humans, forest ecosystems are a large store of terrestrial carbon and account for a major part of the carbon exchange between the atmosphere and the land surface. Depending on the stage of the ecosystems and/or management regimes, forests can be either sinks, or sources of carbon. At the global scale, rapid economic development and a growing world population have raised much concern over the use of natural resources, especially forest resources. The challenging question is how can the global demands for forest commodities be satisfied in an increasingly globalised economy, and where could they potentially be produced? For this purpose, wood demand estimates need to be integrated in a framework, which is able to adequately handle the competition for land between major land-use options such as residential land or agricultural land. This thesis is organised in accordance with the requirements to integrate the simulation of forest changes based on wood extraction in an existing framework for global land-use modelling called LandSHIFT. Accordingly, the following neuralgic points for research have been identified: (1) a review of existing global-scale economic forest sector models (2) simulation of global wood production under selected scenarios (3) simulation of global vegetation carbon yields and (4) the implementation of a land-use allocation procedure to simulate the impact of wood extraction on forest land-cover. Modelling the spatial dynamics of forests on the global scale requires two important inputs: (1) simulated long-term wood demand data to determine future roundwood harvests in each country and (2) the changes in the spatial distribution of woody biomass stocks to determine how much of the resource is available to satisfy the simulated wood demands. First, three global timber market models are reviewed and compared in order to select a suitable economic model to generate wood demand scenario data for the forest sector in LandSHIFT. The comparison indicates that the ‘Global Forest Products Model’ (GFPM) is most suitable for obtaining projections on future roundwood harvests for further study with the LandSHIFT forest sector. Accordingly, the GFPM is adapted and applied to simulate wood demands for the global forestry sector conditional on selected scenarios from the Millennium Ecosystem Assessment and the Global Environmental Outlook until 2050. Secondly, the Lund-Potsdam-Jena (LPJ) dynamic global vegetation model is utilized to simulate the change in potential vegetation carbon stocks for the forested locations in LandSHIFT. The LPJ data is used in collaboration with spatially explicit forest inventory data on aboveground biomass to allocate the demands for raw forest products and identify locations of deforestation. Using the previous results as an input, a methodology to simulate the spatial dynamics of forests based on wood extraction is developed within the LandSHIFT framework. The land-use allocation procedure specified in the module translates the country level demands for forest products into woody biomass requirements for forest areas, and allocates these on a five arc minute grid. In a first version, the model assumes only actual conditions through the entire study period and does not explicitly address forest age structure. Although the module is in a very preliminary stage of development, it already captures the effects of important drivers of land-use change like cropland and urban expansion. As a first plausibility test, the module performance is tested under three forest management scenarios. The module succeeds in responding to changing inputs in an expected and consistent manner. The entire methodology is applied in an exemplary scenario analysis for India. A couple of future research priorities need to be addressed, particularly the incorporation of plantation establishments; issue of age structure dynamics; as well as the implementation of a new technology change factor in the GFPM which can allow the specification of substituting raw wood products (especially fuelwood) by other non-wood products.

Digital image analysis as a tool to estimate legume contributions in legume-grass swards

Summary: Productivity and forage quality of legume-grass swards are important factors for successful arable farming in both organic and conventional farming systems. For these objectives the botanical composition of the swards is of particular importance, especially, the content of legumes due to their ability to fix airborne nitrogen. As it can vary considerably within a field, a non-destructive detection method while doing other tasks would facilitate a more targeted sward management and could predict the nitrogen supply of the soil for the subsequent crop. This study was undertaken to explore the potential of digital image analysis (DIA) for a non destructive prediction of legume dry matter (DM) contribution of legume-grass mixtures. For this purpose an experiment was conducted in a greenhouse, comprising a sample size of 64 experimental swards such as pure swards of red clover (Trifolium pratense L.), white clover (Trifolium repens L.) and lucerne (Medicago sativa L.) as well as binary mixtures of each legume with perennial ryegrass (Lolium perenne L.). Growth stages ranged from tillering to heading and the proportion of legumes from 0 to 80 %. Based on digital sward images three steps were considered in order to estimate the legume contribution (% of DM): i) The development of a digital image analysis (DIA) procedure in order to estimate legume coverage (% of area). ii) The description of the relationship between legume coverage (% area) and legume contribution (% of DM) derived from digital analysis of legume coverage related to the green area in a digital image. iii) The estimation of the legume DM contribution with the findings of i) and ii). i) In order to evaluate the most suitable approach for the estimation of legume coverage by means of DIA different tools were tested. Morphological operators such as erode and dilate support the differentiation of objects of different shape by shrinking and dilating objects (Soille, 1999). When applied to digital images of legume-grass mixtures thin grass leaves were removed whereas rounder clover leaves were left. After this process legume leaves were identified by threshold segmentation. The segmentation of greyscale images turned out to be not applicable since the segmentation between legumes and bare soil failed. The advanced procedure comprising morphological operators and HSL colour information could determine bare soil areas in young and open swards very accurately. Also legume specific HSL thresholds allowed for precise estimations of legume coverage across a wide range from 11.8 - 72.4 %. Based on this legume specific DIA procedure estimated legume coverage showed good correlations with the measured values across the whole range of sward ages (R2 0.96, SE 4.7 %). A wide range of form parameters (i.e. size, breadth, rectangularity, and circularity of areas) was tested across all sward types, but none did improve prediction accuracy of legume coverage significantly. ii) Using measured reference data of legume coverage and contribution, in a first approach a common relationship based on all three legumes and sward ages of 35, 49 and 63 days was found with R2 0.90. This relationship was improved by a legume-specific approach of only 49- and 63-d old swards (R2 0.94, 0.96 and 0.97 for red clover, white clover, and lucerne, respectively) since differing structural attributes of the legume species influence the relationship between these two parameters. In a second approach biomass was included in the model in order to allow for different structures of swards of different ages. Hence, a model was developed, providing a close look on the relationship between legume coverage in binary legume-ryegrass communities and the legume contribution: At the same level of legume coverage, legume contribution decreased with increased total biomass. This phenomenon may be caused by more non-leguminous biomass covered by legume leaves at high levels of total biomass. Additionally, values of legume contribution and coverage were transformed to the logit-scale in order to avoid problems with heteroscedasticity and negative predictions. The resulting relationships between the measured legume contribution and the calculated legume contribution indicated a high model accuracy for all legume species (R2 0.93, 0.97, 0.98 with SE 4.81, 3.22, 3.07 % of DM for red clover, white clover, and lucerne swards, respectively). The validation of the model by using digital images collected over field grown swards with biomass ranges considering the scope of the model shows, that the model is able to predict legume contribution for most common legume-grass swards (Frame, 1992; Ledgard and Steele, 1992; Loges, 1998). iii) An advanced procedure for the determination of legume DM contribution by DIA is suggested, which comprises the inclusion of morphological operators and HSL colour information in the analysis of images and which applies an advanced function to predict legume DM contribution from legume coverage by considering total sward biomass. Low residuals between measured and calculated values of legume dry matter contribution were found for the separate legume species (R2 0.90, 0.94, 0.93 with SE 5.89, 4.31, 5.52 % of DM for red clover, white clover, and lucerne swards, respectively). The introduced DIA procedure provides a rapid and precise estimation of legume DM contribution for different legume species across a wide range of sward ages. Further research is needed in order to adapt the procedure to field scale, dealing with differing light effects and potentially higher swards. The integration of total biomass into the model for determining legume contribution does not necessarily reduce its applicability in practice as a combined estimation of total biomass and legume coverage by field spectroscopy (Biewer et al. 2009) and DIA, respectively, may allow for an accurate prediction of the legume contribution in legume-grass mixtures.

Effects of fertilizer type and rate on partitioning of soil organic matter into pools of different stability

Type and rate of fertilizers influence the level of soil organic carbon (Corg) and total nitrogen (Nt) markedly, but the effect on C and N partitioning into different pools is open to question. The objectives of the present work were to: (i) quantify the impact of fertilizer type and rate on labile, intermediate and passive C and N pools by using a combination of biological, chemical and mathematical methods; (ii) explain previously reported differences in the soil organic matter (SOM) levels between soils receiving farmyard manure with or without biodynamic preparations by using Corg time series and information on SOM partitioning; and (iii) quantify the long-term and short-term dynamics of SOM in density fractions and microbial biomass as affected by fertilizer type and rate and determine the incorporation of crop residues into labile SOM fractions. Samples were taken from a sandy Cambisol from the long-term fertilization trial in Darmstadt, Germany, founded in 1980. The nine treatments (four field replicates) were: straw incorporation plus application of mineral fertilizer (MSI) and application of rotted farmyard manure with (DYN) or without (FYM) addition of biodynamic preparations, each at high (140 – 150 kg N ha-1 year-1; MSIH, DYNH, FYMH), medium (100 kg N ha-1 year-1; MSIM, DYNM, FYMM) and low (50 – 60 kg N ha-1 year-1; MSIL, DYNL, FYML) rates. The main findings were: (i) The stocks of Corg (t ha-1) were affected by fertilizer type and rate and increased in the order MSIL (23.6), MSIM (23.7), MSIH (24.2) < FYML (25.3) < FYMM (28.1), FYMH (28.1). Stocks of Nt were affected in the same way (C/N ratio: 11). Storage of C and N in the modelled labile pools (turnover times: 462 and 153 days for C and N, respectively) were not influenced by the type of fertilizer (FYM and MSI) but depended significantly (p ≤ 0.05) on the application rate and ranged from 1.8 to 3.2 t C ha 1 (7 – 13% of Corg) and from 90 to 140 kg N ha-1 (4-5% of Nt). In the calculated intermediate pool (C/N ratio 7), stocks of C were markedly higher in FYM treatments (15-18 t ha-1) compared to MSI treatments (12-14 t ha-1). This showed that differences in SOM stocks in the sandy Cambisol induced by fertilizer rate may be short-lived in case of changing management, but differences induced by fertilizer type may persist for decades. (ii) Crop yields, estimated C inputs (1.5 t ha-1 year-1) with crop residue, microbial bio¬mass C (Cmic, 118 – 150 mg kg-1), microbial biomass N (17 – 20 mg kg-1) and labile C and N pools did not differ significantly between FYM and DYN treatments. However, labile C increased linearly with application rate (R2 = 0.53) from 7 to 11% of Corg. This also applied for labile N (3.5 to 4.9% of Nt). The higher contents of Corg in DYN treatments existed since 1982, when the first sampling was conducted for all individual treatments. Contents of Corg between DYN and FYM treatments con-verged slightly since then. Furthermore, at least 30% of the difference in Corg was located in the passive pool where a treatment effect could be excluded. Therefore, the reported differences in Corg contents existed most likely since the beginning of the experiment and, as a single factor of biodynamic agriculture, application of bio-dynamic preparations had no effect on SOM stocks. (iii) Stocks of SOM, light fraction organic C (LFOC, ρ ≤ 2.0 g cm-3), light fraction organic N and Cmic decreased in the order FYMH > FYML > MSIH, MSIL for all sampling dates in 2008 (March, May, September, December). However, statistical significance of treatment effects differed between the dates, probably due to dif-ferences in the spatial variation throughout the year. The high proportion of LFOC on total Corg stocks (45 – 55%) highlighted the importance of selective preservation of OM as a stabilization mechanism in this sandy Cambisol. The apparent turnover time of LFOC was between 21 and 32 years, which agreed very well with studies with substantially longer vegetation change compared to our study. Overall, both approaches; (I) the combination of incubation, chemical fractionation and simple modelling and (II) the density fractionation; provided complementary information on the partitioning of SOM into pools of different stability. The density fractionation showed that differences in Corg stocks between FYM and MSI treatments were mainly located in the light fraction, i.e. induced by higher recalcitrance of the organic input in the FYM treatments. Moreover, the use of the combination of biological, chemical and mathematical methods indicated that effects of fertilizer rate on total Corg and Nt stocks may be short-lived, but that the effect of fertilizer type may persist for longer time spans in the sandy Cambisol.

Determination of yield and quality parameters of energy crops applying laboratory and field spectroscopy

A real-time analysis of renewable energy sources, such as arable crops, is of great importance with regard to an optimised process management, since aspects of ecology and biodiversity are considered in crop production in order to provide a sustainable energy supply by biomass. This study was undertaken to explore the potential of spectroscopic measurement procedures for the prediction of potassium (K), chloride (Cl), and phosphate (P), of dry matter (DM) yield, metabolisable energy (ME), ash and crude fibre contents (ash, CF), crude lipid (EE), nitrate free extracts (NfE) as well as of crude protein (CP) and nitrogen (N), respectively in pretreated samples and undisturbed crops. Three experiments were conducted, one in a laboratory using near infrared reflectance spectroscopy (NIRS) and two field spectroscopic experiments. Laboratory NIRS measurements were conducted to evaluate to what extent a prediction of quality parameters is possible examining press cakes characterised by a wide heterogeneity of their parent material. 210 samples were analysed subsequent to a mechanical dehydration using a screw press. Press cakes serve as solid fuel for thermal conversion. Field spectroscopic measurements were carried out with regard to further technical development using different field grown crops. A one year lasting experiment over a binary mixture of grass and red clover examined the impact of different degrees of sky cover on prediction accuracies of distinct plant parameters. Furthermore, an artificial light source was used in order to evaluate to what extent such a light source is able to minimise cloud effects on prediction accuracies. A three years lasting experiment with maize was conducted in order to evaluate the potential of off-nadir measurements inside a canopy to predict different quality parameters in total biomass and DM yield using one sensor for a potential on-the-go application. This approach implements a measurement of the plants in 50 cm segments, since a sensor adjusted sideways is not able to record the entire plant height. Calibration results obtained by nadir top-of-canopy reflectance measurements were compared to calibration results obtained by off-nadir measurements. Results of all experiments approve the applicability of spectroscopic measurements for the prediction of distinct biophysical and biochemical parameters in the laboratory and under field conditions, respectively. The estimation of parameters could be conducted to a great extent with high accuracy. An enhanced basis of calibration for the laboratory study and the first field experiment (grass/clover-mixture) yields in improved robustness of calibration models and allows for an extended application of spectroscopic measurement techniques, even under varying conditions. Furthermore, off-nadir measurements inside a canopy yield in higher prediction accuracies, particularly for crops characterised by distinct height increment as observed for maize.

Shifting cultivation and forest resources in Nagaland, N.-E. India

Die vorliegende Studie befasst sich mit der Ressourcennachhaltigkeit der traditionellen, auf Wanderfeldbau beruhenden Subsistenzwirtschaft in zwei Dörfern (Hongphoy und Minyakshu) in Nagaland im Nordosten Indiens. Hierbei werden die Cerealien Produktion, der Feuerholz Konsum und auch die Folgen der intensivierten Bewirtschaftung (Forstdegradation und Bodenverarmung) im Hinblick auf das Bevölkerungswachstum diskutiert. Während das traditionelle System des Wanderfeldbaus (Jhum) seit Jahrzehnten die Bedürfnisse der ehemals kopfjagenden Stämme Nagalands erfüllte, ergab unsere Studie durch Interviews und Feldaufnahmen in 2004 und 2005, dass die steigende Nachfrage einer wachsenden Bevölkerung nach Cerealien und Feuerholz als wichtigste Ressourcen der Subsistenzwirtschaft zu einer verkürzten Brachezeit und letztlich der Degradation von Naturressourcen geführt hat: Pro Hektar Ernten sind reduziert und der Zuwachs der Holzvorräte auf den Feldern kann durch die verkürzten Bracheperioden nicht mehr die Feuerholz Nachfrage decken. Eine Nahrungsmittelknappheit wurde durch die Gegenüberstellung des Energiebedarfs einer Person und die jährlichen pro-Kopf Erntemengen und unter Berücksichtigung des Zukaufs von Reis reflektiert: In Hongphoy ergab dies ein Defizit auf Dorfebene von 130 Tonnen Reis, in Minyakshu von 480 Tonnen, die nicht durch Ernten gedeckt werden konnten. Diese Nahrungsmittelknappheit erweist sich vor allem vor dem Hintergrund eines Bevölkerungswachstums von 6.7% und marginalen Einkünften als problematisch. Für fünf verschiedene Waldformationen (zwei Brachewälder, zwei Dorfwälder und ein Naturwald) wurden die unterschiedliche Artenzusammensetzung (Diversität) und Bestandesvolumina durch Forstinventuren beschrieben. Der dem Bestandesvolumen der Brachewälder gegenübergestellte pro-Kopf Feuerholz Bedarf ergab ein jährliches Defizit von 1,81m³ in Hongphoy und 0.05m³ in Minyakshu. Der Unterschied dieses Defizits zwischen beiden Dörfern wurde in einer abweichenden Bestandesstruktur (Dominanz der N2 fixierenden Baumart Alnus nepalensis in den Brachewäldern Minyakshus) begründet. Über den erhobenen Feuerholzbedarf wurde ein theoretischer pro-Kopf Flächenbedarf an Brachewald errechnet, der nötig wäre um den gesamten Feuerholz Bedarf innerhalb des Wanderfeldbau Systems zu decken. Das daraus resultierende Defizit wurde mit den Feuerholzvolumina der Dorfwälder und des verbliebenen Naturwalds gegenüber gestellt. Hieraus ergibt sich die Bedeutung der Feuerholzernte und des Wanderfeldbau als Ursache für die fortschreitende Entwaldung und Forstdegradation in Nagaland. Mit Hilfe dieser Informationen und aktuellen Angaben zum Bevölkerungswachstum werden die Ergebnisse anhand einschlägiger Literatur diskutiert und letztendlich die Nachhaltigkeit und Tragfähigkeit des Wanderfeldbau Systems in dieser Region bestimmt. Mögliche Verbesserungsstrategien um der zunehmenden Ressourcendegradation zu begegnen, werden andiskutiert.

Effects of tillage on processes of organic matter sequestration

To increase the organic matter (OM) content in the soil is one main goal in arable soil management. The adoption of tillage systems with reduced tillage depth and/or frequency (reduced tillage) or of no-tillage was found to increase the concentration of soil OM compared to conventional tillage (CT; ploughing to 20-30 cm). However, the underlying processes are not yet clear and are discussed contradictorily. So far, few investigations were conducted on tillage systems with a shallow tillage depth (minimum tillage = MT; maximum tillage depth of 10 cm). A better understanding of the interactions between MT implementation and changes in OM transformation in soils is essential in order to evaluate the possible contribution of MT to a sustainable management of arable soils. The objectives of the present thesis were (i) to compare OM concentrations, microbial biomass, water-stable aggregates, and particulate OM (POM) between CT and MT soils, (ii) to estimate the temporal variability of water-stable aggregate size classes occurring in the field and the dynamics of macroaggregate (>250 µm) formation and disruption under controlled conditions, (iii) to investigate whether a lower disruption or a higher formation rate accounts for a higher occurrence of macroaggregates under MT compared to CT, (iv) to determine which fraction is the major agent for storing the surplus of OM found under MT compared to CT, and (v) to observe the early OM transformation after residue incorporation in different tillage systems simulated. Two experimental sites (Garte-Süd and Hohes Feld) near Göttingen, Germany, were investigated. Soil type of both sites was a Haplic Luvisol. Since about 40 years, both sites receive MT by a rotary harrow (to 5-8 cm depth) and CT by a plough (to 25 cm depth). Surface soils (0-5 cm) and subsoils (10-20 cm) of two sampling dates (after fallow and directly after tillage) were investigated for concentrations of organic C (Corg) and total N (N), different water-stable aggregate size classes, different density fractions (for the sampling date after fallow only), microbial biomass, and for biochemically stabilized Corg and N (by acid hydrolysis; for the sampling date after tillage only). In addition, two laboratory incubations were performed under controlled conditions: Firstly, MT and CT soils were incubated (28 days at 22°C) as bulk soil and with destroyed macroaggregates in order to estimate the importance of macroaggregates for the physical protection of the very labile OM against mineralization. Secondly, in a microcosm experiment simulating MT and CT systems with soil <250 µm and with 15N and 13C labelled maize straw incorporated to different depths, the mineralization, the formation of new macroaggregates, and the partitioning of the recently added C and N were followed (28 days at 15°C). Forty years of MT regime led to higher concentrations of microbial biomass and of Corg and N compared to CT, especially in the surface soil. After fallow and directly after tillage, a higher proportion of water-stable macroaggregates rich in OM was found in the MT (36% and 66%, respectively) than in the CT (19% and 47%, respectively) surface soils of both sites (data shown are of the site Garte-Süd only). The subsoils followed the same trend. For the sampling date after fallow, no differences in the POM fractions were found but there was more OM associated to the mineral fraction detected in the MT soils. A large temporal variability was observed for the abundance of macroaggregates. In the field and in the microcosm simulations, macroaggregates were found to have a higher formation rate after the incorporation of residues under MT than under CT. Thus, the lower occurrence of macroaggregates in CT soils cannot be attributed to a higher disruption but to a lower formation rate. A higher rate of macroaggregate formation in MT soils may be due to (i) the higher concentrated input of residues in the surface soil and/or (ii) a higher abundance of fungal biomass in contrast to CT soils. Overall, as a location of storage of the surplus of OM detected under MT compared to CT, water-stable macroaggregates were found to play a key role. In the incubation experiment, macroaggregates were not found to protect the very labile OM against mineralization. Anyway, the surplus of OM detected after tillage in the MT soil was biochemically degradable. MT simulations in the microcosm experiment showed a lower specific respiration and a less efficient translocation of recently added residues than the CT simulations. Differences in the early processes of OM translocation between CT and MT simulations were attributed to a higher residue to soil ratio and to a higher proportion of fungal biomass in the MT simulations. Overall, MT was found to have several beneficial effects on the soil structure and on the storage of OM, especially in the surface soil. Furthermore, it was concluded that the high concentration of residues in the surface soil of MT may alter the processes of storage and decomposition of OM. In further investigations, especially analysis of the residue-soil-interface and of effects of the depth of residue incorporation should be emphasised. Moreover, further evidence is needed on differences in the microbial community between CT and MT soils.

Organische Düngung und reduzierte Bodenbearbeitung als Steuerungsfaktoren für die C-, N-, P- und S-Speicherung von Mikroorganismen

In dieser Arbeit wurden zum einen die Auswirkungen mineralischer und organischer Düngung und zum anderen der Einfluss reduzierter Bodenbearbeitung (Kreiselegge) im Vergleich zum Einsatz des Wendepfluges auf die Nährstoffspeicherung der mikrobiellen Biomasse untersucht. Dabei wurde deutlich, dass sowohl organische Düngung als auch die reduzierte Bodenbearbeitung zu einer Erhöhung des organischen Kohlenstoffs (Corg), des Stickstoff-Gesamtgehalts (N) und des mikrobiellen Biomasse Kohlenstoffs (Cmik) und Stickstoffs (Nmik) führten. Der Einsatz organischer Dünger wies darüber hinaus höhere Gehalte an Schwefel (S) auf, während der Einsatz der Kreiselegge auch den mikrobiellen Biomasse Phosphor (Pmik) gegenüber der Pflugvariante erhöhte. Des Weiteren zeigten die Untersuchungen des pilzlichen Biomarkers Ergosterol einen signifikant höheren Gehalt mit mineralischer Düngung plus Strohrückführung und beim Einsatz des Wendepfluges im Vergleich zu organischer Düngung und reduzierter Bodenbearbeitung. Dies führte sowohl bei mineralischer Düngung als auch bei dem Einsatz des Wendepfluges zu einem signifikant höheren Ergosterol/Cmik-Quotienten, der bei hohen Werten auf einen höheren Anteil saprotropher Pilze an der gesamten mikrobiellen Gemeinschaft schließen lässt. Im Zusammenhang mit der Möglichkeit saprotropher Pilze, ihre Schwefelinkorporation um 130% zu steigern, zeigten sich höhere Gehalte des mikrobiellen Schwefels unter mineralischer Düngung und des Einsatzes des Wendepflugs, bei denen der Anteil saprotropher Pilze erhöht war. Dies führte zu einem geringeren C/Smik-Quotienten, der somit als Maß für eine Veränderung der mikrobiellen Gemeinschaft herangezogen werden kann. Des Weiteren ließ sich feststellen, dass trotz eines erhöhten Pilzanteils an der mikrobiellen Gemeinschaft unter Pflugbearbeitung und mineralischer Düngung die Substratnutzungseffizienz, die durch Pilze gewöhnlich erhöht wird, hier nicht gesteigert wurde. Somit lässt sich festhalten, dass sowohl organische Düngung als auch der Einsatz der Kreiselegge mit reduzierter Bodenbearbeitung zu einer Erhöhung Bodenfruchtbarkeit erhaltender Messgrößen, wie Corg, N, Cmik und Nmik führten. Das Bodenmaterial beider Langzeitversuche wurde nach den Laboruntersuchungen mit flüssigem Stickstoff schockgefroren und anschließend gefriergetrocknet, um mittels Nahinfrarot Spektroskopie (NIRS) und unterschiedlichen Berechnungsverfahren die Bodeneigenschaften vorherzusagen. Die Messgrößen des pH-Werts, Corg, N, P, S, K, Mg, Mn, Fe, Al wurden mit NIRS in einer exzellenten Vorhersagegüte bestimmt, während die Vorhersage von Cmik, Nmik und dem Ergosterol/Cmik-Quotienten nur zu einer annähernd quantitativen Bestimmung führte. Die unterschiedlichen Berechnungen mittels Kreuzvalidierung und separater Kalibrierung/Validierung zeigten zwar, dass die Kreuzvalidierung zu einer höheren Anzahl erfolgreich vorhergesagter Parameter führte, diese jedoch nicht zur Erstellung einer Kalibrationsdatenbank herangezogen werden kann, da hier nur eine geschlossene Population betrachtet wird. Die unterschiedlichen Selektionsverfahren zeigten nur einen geringen Einfluss auf die Vorhersagegenauigkeit. Während die Aufteilung des Datensatzes in einen kleineren, homogeneren Datensatz der einzelnen Standorte zu keiner besseren Vorhersagegüte im Vergleich zum Gesamtdatensatz führte. Daher bleibt festzuhalten, dass NIRS vor allem für die Vorhersage der Grundmessgrößen wie Corg, den Gesamtgehalten und Cmik und Nmik Einsatz finden kann, während für die erfolgreiche Vorhersage für weitere mikrobielle Biomasse-Parameter noch Forschungsbedarf besteht, wie z.B. zur Probenvorbereitung.

Entwicklung eines Online-Messverfahrens zur Bestimmung des Bodenbedeckungsgrades bei der Stoppelbearbeitung zu Mulchsaatverfahren

Die vorliegende Arbeit ist Teil eines Verbund-Forschungsprojektes mit dem Ziel, eine Präzisions-Bodenbearbeitung in Abhängigkeit von verschiedenen Bodenparametern sowie dem Bodenbedeckungsgrad zu realisieren. Ziel dieses Teilprojektes war die Bereitstellung einer Online-Messung des Bedeckungsgrades, um die Bearbeitungsintensität während der Feldüberfahrt regeln zu können: Ein Kamerasensor vorne am Schlepper ermittelt die Bodenbedeckung und ein Tiefen-Sollwert wird an das Regelsystem eines Gerätes zur teilfächenspezifischen Bodenbearbeitung ausgegeben. Da unter Feldbedingungen Methoden zur Bedeckungsgradmessung nur relativ zueinander verglichen werden können, wurde zunächst ein Laborvergleich mit wohldefinierten Bodenbedeckungen durchgeführt, um die prinzipiellen Stärken und Schwächen von Bildanalyse sowie zwei visuellen Methoden (Gitterraster-Methode und „Meterstick-Methode“) zu ermitteln: • Eine visuelle Methode, die auf einer begrenzten Anzahl von einfachen Stichprobenbeobachtungen beruht (Gitter), überschätzte den Bedeckungsgrad systematisch, wobei dieser Effekt unter Feldbedingungen vermutlich klein gegenüber der bekannten Schwankungsbreite zwischen Messungen verschiedener Beobachter ist. • Eine visuelle Methode, die auch Größe und Orientierung des Strohs berücksichtigt (Meterstick), lieferte präzise mittlere Messwerte. Diese Methode war die mit Abstand arbeitsaufwändigste. • Nach einer einfachen Korrektur des Abbildungsfehlers des Kameraobjektivs war auch die Bildverarbeitungs-Methode in der Lage, die bekannten tatsächlichen Bedeckungsgrade exakt darzustellen, bei gleichzeitig der geringsten Schwankungsbreite der Messwerte. Die Online-Messung der Bodenbedeckung durch Ernterückstände ist bisher jedoch ungelöst. Obwohl in früheren Untersuchungen Texturmerkmale oder Farbunterschiede erfolgreich genutzt wurden, um den Bedeckungsgrad zu bestimmen, wird eine Bedienperson zur interaktiven Festlegung bestimmter Parameter benötigt. Um den Prototypen eines onlinefähigen Kamerasensors zu entwickeln, wurden geeignete Ausrüstung und Bedingungen zur Bildaufnahme untersucht und verschiedene Auswertealgorithmen mit Hilfe einer wissenschaftlichen Bildanalysesoftware geschrieben und getestet: • Da im Nahinfraroten zwischen ca. 800 und 1400 nm der größte Intensitäts-Kontrast zwischen Stroh und Boden besteht wurde zur Bildaufnahme eine Schwarz-Weiss-CCD-Kamera mit aufgesetztem Infrarotfilter gewählt. Eine Diffusor-Box sorgte für homogene Beleuchtungsbedingungen. • Zwei auf Kantendetektion und automatischer Schwellwertsetzung basierende Versionen („A“ und „B“) eines „klassischen“ Segmentierungsalgorithmus wurden geschrieben. Durch einen iterativen Ansatz konnten geeignete Thresholding-Verfahren abhängig von der Größenordnung der Bodenbedeckung verwendet werden. Die zur Online-Regelung der Bearbeitungstiefe nötige Beschränkung der Prozesslaufzeit auf ca. 1000 ms/Bild konnte eingehalten werden. • Eine alternative automatisierbare Kontrollmethode wurde entwickelt, welche Merkmale der Grauwerthistogramme der Stroh/Boden-Bilder auswertet (Algorithmus „C“). Dieser Ansatz ist nochmals deutlich schneller als eine Bildsegmentierung (ca. 5 – 10 Bilder/s). • Der Sensor wurde an einem Quad montiert und die Bodenbedeckung auf drei Testfeldern untersucht. Zwischen den Messergebnissen eines Algorithmus vom Typ A/B und dem Ansatz C wurde eine Pearson-Korrelation von 0,967 für die Messwertegesamtheit gefunden. • Auf Versuchsparzellen mit definiert aufgebrachten Strohmengen (ein weiteres Teil-projekt) wurden an GPS-referenzierten Punkten Bilder mit dem Sensor aufgenommen und Referenzmessungen mit der visuellen Gitterraster-Methode durchgeführt. Zwischen der Bildverarbeitung (A, B) und dem Gitter ergaben sich befriedigende Pearson-Korrelationen im Bereich von 0,7 – 0,8. Allerdings waren für hohe Bedeckungen die Ergebnisse des Sensors meist signifikant niedrigere als der Mittelwert von drei das Gitter auszählenden Personen. Eine Kontrolle mit Ansatz C ergab, dass die Histogramm-Merkmale der einzelnen Bilder deutlich besser mit den per Bildverarbeitung ermittelten Bedeckungsgraden korrelierten als mit den Gittermessungen. – Insgesamt erwies sich die schnelle Bildverarbeitung als geeignet für den Einsatz als neue Referenzmethode zur Messung der Bodenbedeckung durch Ernterückstände. • Da der Aufbau des Sensors ohne die Diffusor-Box praxisgerechter ist, besteht weiterer Forschungsbedarf in Bezug auf die dann auftretenden Probleme durch stark wechselnde Beleuchtung und Schattenwurf. • In einem letzten Schritt wurde der Kamerasensor erfolgreich in ein bereits entwickeltes System zur teilflächenspezifischen Bodenbearbeitung an der Universität Kiel integriert. Eine Regelung der Arbeitstiefe durch den Kamerasensor war problemlos möglich, allerdings gilt es noch belastbare Kriterien für die Vorgabe von Tiefen-Sollwerten in Abhängigkeit vom Bedeckungsgrad zu entwickeln.

Bedeutung der C- und N-Rhizodeposition für das mikrobielle Wachstum und den mikrobiellen Umsatz von C und N in der Rhizosphäre in Abhängigkeit von der Entfernung zur Wurzel

Ziel dieser Arbeit war es, die Bedeutung des C und N mit Herkunft aus der Rhizodeposition für das mikrobielle Wachstum und den C- und N-Umsatz in der Rhizosphäre in Abhängigkeit von der Entfernung zur Wurzel zu untersuchen. Dazu wurde als wesentliche methodische Voraussetzung ein künstliches Rhizosphärensystem entwickelt, um die durch die Rhizodeposite induzierten Prozesse an der Grenzfläche zwischen Wurzeloberfläche und Boden zu untersuchen. Dieses eingesetzte Rhizosphärensystem wurde nach einem Vorbild eines in schon vielfältigen Untersuchungen der Rhizosphäre eingesetzten Systems von GAHOONIA und NIELSEN (1991) konzipiert. Zur Verfolgung der pflanzlichen C- und N-Rhizodeposition im Boden wurden 13C- und 15N-Tracer-Isotopen-Techniken zur Isotopenmarkierung der Testpflanzen eingesetzt. Zur Probenahme des Rhizosphärenbodens in räumlichen Abstand zur künstlichen Rhizoplane wurde eine Schneidvorrichtung nach FITZ et al. (2003) eingesetzt, die es ermöglicht frische Bodenproben in definiertem Abstand zur künstlichen Rhizoplane zu schneiden. Das Rhizosphärensystem wurde in 13C- und 15N-Doppelmarkierungsexperimenten mit Lolium perenne, Triticum aestivum und Avena sativa eingesetzt.Das unterschiedliche Ansprechen der mikrobiellen Gemeinschaft auf den Substrateintrag in unterschiedlicher Entfernung zur Wurzel zeigte komplexe Wechselwirkungen in Bezug auf das mikrobielle Wachstum, den mikrobiellen Umsatz, den Substrateintrag aus der Rhizodeposition und den stimulierten Abbau der nativen organischen Bodensubstanz. Der Eintrag von Rhizodepositen stellt daher eine bedeutende Funktion in der Regulation der mikrobiellen Biomasse und der Prozesse des Umsatzes der organischen Bodensubstanz während und wahrscheinlich bis nach der Vegetationsperiode dar. Die simultane Verfolgung von Rhizodepositions-C und -N im Boden und deren Funktionen innerhalb der Rhizosphäre, gerade im Hinblick auf die mikrobielle Biomasse und den Umsatz der organischen Substanz im Boden, führt zu einem besseren Verständnis der komplexen wechselseitigen Prozesse zwischen Pflanze und Boden.