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Institute
The nutritional footprint – An assessment tool for health and environmental effects of nutrition
(2014)
Aufgrund seiner starken Umweltauswirkungen gilt der Lebensmittelsektor durch Effekte in Produktion, Verarbeitung, Konsum und Entsorgung gemeinhin als ein wichtiges Handlungsfeld, soll eine gesellschaftliche Transformation in Richtung Nachhaltigkeit weiter vorangetrieben werden. Da Ernährungsgewohnheiten sowohl ökologische Auswirkungen induzieren als auch gesundheitliche Folgen für die Verbraucher haben, sind Konzepte gefragt, die ökologische mit gesundheitlichen Indikatoren kombinieren; diese sind jedoch bislang rar. Das vorgestellte Instrument des Nutritional Footprint greift diese Problemstellung auf und verbindet in einem innovativen Konzept jeweils vier Kernindikatoren beider Dimensionen. Mithilfe des Konzepts erhalten Verbraucher einen Überblick zu Umwelt- und Gesundheitswirkungen ihrer Ernährung. Unternehmen können wiederum interne Datensätze verwalten, Benchmarking betreiben und ihre externe Kommunikationsleistung erweitern.
Der Lebensmittel- und Landwirtschaftssektor wird in den nächsten Jahrzehnten vor zahlreichen Herausforderungen stehen, die sich aus den sich verändernden globalen Produktions- und Verbrauchsmustern ergeben, die derzeit mit einem hohen Ressourcenverbrauch einhergehen und ökologische und sozioökonomische Auswirkungen haben. Ziel dieses Beitrags ist es, die praktische Anwendbarkeit der Hot-Spot-Analyse-Methode im Kontext des Lieferkettenmanagements in Unternehmen zu veranschaulichen und zu bewerten.
Die HSA ist eine Methode zur Identifizierung sozialer und ökologischer Probleme entlang des gesamten Lebenszyklus eines Produkts. Besonderes Augenmerk wird auf eine maßgeschneiderte Umsetzung in der Wertschöpfungskette Rindfleisch von McDonald's Deutschland gelegt. Die HSA der Wertschöpfungskette Rindfleisch von McDonald's zeigt, dass die größten ökologischen Probleme in der Phase der Rohstoffgewinnung auftreten, während die größten sozialen Probleme in der Phase der Schlachtung identifiziert werden können. Abschließend zeigt der Beitrag Potenziale und Defizite einer solchen maßgeschneiderten Anwendung und wie die Ergebnisse im Nachhaltigkeitsmanagement eines Unternehmens umgesetzt werden können. in das Nachhaltigkeitsmanagement eines Unternehmens implementiert werden können.
World-wide, the degradation and destruction of both natural and traditionally used semi-natural ecosystems is drastically increasing. Unfortunately, commercial seed mixtures, consisting of non-native species and genetically uniform cultivars, are widely used in grassland restoration, often with negative effects on biodiversity. Therefore, native species should be used in the ecological restoration of natural and semi-natural vegetation. This book compiles results from recent studies presented at a Special Session “Native seed production and use in restoration projects”, which was organised during the 8th European Conference on Ecological Restoration in České Budějovice, Czech Republic.
The authors review the ecological and genetic aspects of seed propagation and species introduction both from a European and an American perspective, and discuss implications for the development of seed zones and for native seed production. Examples from different countries focus on native seed production in practice, and suggest different approaches for the certification of seed provenance.
Best practice examples from Europe and the United States are used to indicate the advantages of using native seeds for ecological restoration of grasslands, field margins and sagebrush steppe. Finally, this volume also provides guidelines for the successful implementation of restoration projects for local authorities, landscape planners and NGOs in order to bridge gaps between research and practice.
After foundation of the Wadden Sea National Park, grazing and artificial drainage was ceased or reduced on large areas of the salt marshes at the Schleswig-Holstein mainland coast (Northern Germany). The effect of grazing cessation versus intensive and moderate grazing on vegetation diversity was studied on small (plant species richness on plots between 0.01 and 100 m2) and large scale (vegetation type richness per hectare) over 18 to 20 years by analysing data from long-term monitoring programs. Plant species richness and vegetation type richness increased strongly over time in all management regimes, because grazing-sensitive species increased first in ungrazed marshes and later dispersed to and established in intensively grazed marshes. Dominance of the tall, late-successional grass Elymus athericus on 7% to 52% of all moderately and ungrazed (primarily high marsh) plots led to a decrease in species richness. After 18 to 20 years, species richness was highest in moderately and intensively grazed high marshes. Differences were significant only on small plots of up to 4 m2. On the large scale, vegetation type richness in the low marsh was higher without grazing, while no differences were found in the high marsh. Our results indicate that grazing effects differ between spatial scales and that different spatial scales have to be considered for monitoring and evaluation of vegetation diversity in salt marshes. To conserve vegetation diversity on all scales, a large-scale mosaic of different management regimes should be maintained.
The relevance of cross-industry innovation has increased in recent decades with a growing number of inter-industry fields emerging on the borderline between formerly distinct industries. The aim of this paper is to analyse industry convergence in four probiotics innovation value chains based on the following indicators: cross-industry relationships along the innovation value chain as well as knowledge, technological, regulatory and competence convergence. In so doing, the study delivers a framework of indicators for scrutinising industry convergence processes. In order to identify industry convergence, we analyse companies in the converging area of foods and drugs based on products containing the four bacteria strains: Lactobacillus caseii DN 114001, Bifidobacterium lactis Bb12, Lactobacillus acidophilus LA5 and Lactobacillus rhamnosus. Hence, the commercial availability of the strains on the market serves as a selection criterion. Altogether 12 companies stemming from four industrial backgrounds, food and agriculture (5), pharmaceutics (5), chemistry (1) and personal care (1), as well as one research organisation are identified. Cross-industry relationships occur along the innovation value chains of the four strains. Clear signs of knowledge and technological convergence are found as companies are not only publishing and patenting in the usual area of their own industrial field but also in the area of other industrial fields. Companies with different industrial backgrounds show activities in obtaining health claims indicating regulatory convergence. Companies' competence bases seem to converge as companies with different industrial backgrounds are involved in acquisitions, licencing agreements and strategic alliances (competence convergence). We contribute to the existing body of literature by assessing industry convergence from an innovation value chain perspective with a set of indicators reflecting the intensity of industry convergence. This framework of indicators stemming from literature has not yet been used in a combined comprehensive analysis. Furthermore, we tried to show the characteristics of strategic types driving industry convergence in probiotics.
What determines ingredient awareness of consumers? : A study on ten functional food ingredients
(2014)
Given the importance of consumer awareness of functional food ingredients for healthy food choices, the aim of this study is to explore consumers’ ingredient awareness and the determinants which influence the awareness about functional food ingredients.
A sample of 200 German consumers was interviewed via CATI (computer aided telephone interview) during September 2011. The participants have been asked about their specific awareness regarding to ten functional food ingredients. Likewise, determinants like health status and health motivation have been assessed and their influence on the construct “consumers’ ingredient awareness” has been tested by employing structural equation modeling.
The study shows that consumers’ ingredient awareness varies throughout the sample. Overall it can be stated, that 19% of consumer awareness about functional food ingredients is explained through the described model based on the following predictors: age, educational level, health status, health motivation and information strategies. Among these factors, consumers’ health motivation seems to have the highest relevance to explain consumer awareness. But also the determinants information strategies as well as the education show a significant influence on consumers’ ingredient awareness. As health motivation shows the highest impact on consumers’ ingredient awareness this study underlines the importance of prevention propensity for healthy food choices.
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