Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2017
Authors
Habtamu AlemAbstract
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Authors
Irene Biancarosa Nina Sylvia Liland Daan Biemans Pedro Araujo Christian Guido Bruckner Rune Waagbø Bente Elisabeth Torstensen Erik-Jan Lock Heidi AmlundAbstract
BACKGROUND The black soldier fly (Hermetia illucens) is one of the most promising insect species for use in animal feed. However, studies investigating feed and food safety aspects of using black soldier fly as feed are scarce. In this study, we fed black soldier fly larvae feeding media enriched with seaweed, which contains naturally high concentrations of heavy metals and arsenic. The aim of this study was to investigate the potential transfer of such undesirable substances from the feeding media to the larvae. RESULTS The larvae accumulated cadmium, lead, mercury and arsenic. Concentrations of these elements in the larvae increased when more seaweed was added to the feeding media. The highest retention was seen for cadmium (up to 93%) and the lowest for total arsenic (up to 22%). When seaweed inclusion exceeded 20% in the media, this resulted in larval concentrations of cadmium and total arsenic above the current European Union maximum levels for these elements in complete feed. CONCLUSION Our results confirm that insect larvae can accumulate heavy metals and arsenic when present in the feeding media. A broader understanding of the occurrence of these undesirable substances in processed larvae products is needed to assess feed and food safety. © 2017 Society of Chemical Industry
Authors
Lone RossAbstract
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Authors
Kris Verheyen Pieter De Frenne Lander Baeten Donald M. Waller Radim Hédl Michael P. Perring Haben Blondeel Jörg Brunet Markéta Chudomelová Guillaume Decocq Emiel De Lombaerde Leen Depauw Thomas Dirnböck Tomasz Durak Ove Eriksson Frank S. Gilliam Thilo Heinken Steffi Heinrichs Martin Hermy Bogdan Jaroszewicz Michael A. Jenkins Sarah E. Johnson Keith J. Kirby Martin Kopecký Dries Landuyt Jonathan Lenoir Daijiang Li Martin Macek Sybryn L. Maes František Máliš Fraser J.G. Mitchell Tobias Naaf George Peterken Petr Petřík Kamila Reczyńska David A Rogers Fride Høistad Schei Wolfgang Schmidt Tibor Standovár Krzysztof Świerkosz Karol Ujházy Hans Van Calster Mark Vellend Ondřej Vild Kerry Woods Monika Wulf Markus Bernhardt-RömermannAbstract
More and more ecologists have started to resurvey communities sampled in earlier decades to determine long-term shifts in community composition and infer the likely drivers of the ecological changes observed. However, to assess the relative importance of and interactions among multiple drivers, joint analyses of resurvey data from many regions spanning large environmental gradients are needed. In this article, we illustrate how combining resurvey data from multiple regions can increase the likelihood of driver orthogonality within the design and show that repeatedly surveying across multiple regions provides higher representativeness and comprehensiveness, allowing us to answer more completely a broader range of questions. We provide general guidelines to aid the implementation of multiregion resurvey databases. In so doing, we aim to encourage resurvey database development across other community types and biomes to advance global environmental change research.
Abstract
Several studies focus on the effects of climate variability on female and male gender relations as perceived through various biophysical and socio-economic aspects. More emphasis is given on the impacts of extreme weather events on rural communities of less developed regions. The results are often interpreted in a qualitative manner through policy measures that may reduce gender inequalities. However, the interpretation of the qualitative results to more crisp and measurable outputs is often not attained while the validation of the findings is rarely ensured. The current study suggests a gender-differentiated impact framework based on qualitative and quantitative components for the assessment of climate variability effects on rural communities in South India. Fifteen villages mostly practicing rice farming in Andhra Pradesh and Telangana states were selected as representative drought-prone case studies. The study results advocate that the qualitative outcomes were validated from the quantitative approach but for a few cases which could be attributed to methodological and case-specific differentiations. Policy recommendations are made on common gender trainings in water-resistant crops and livestock activities for the alleviation of drought impact and abatement of gender inequalities. Also, entrepreneurship workshops for women could enhance gender balance and diverse family income from the current sole dependence on farming revenues. Regional climate adaptation programs could be better implemented when the specific features and capacities of local communities are taken into consideration.
Authors
Michela Zanetti Corrado Costa Rosa Greco Stefano Grigolato Giovanna Ottaviani Aalmo Raffaele CavalliAbstract
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Authors
Valentina Krysanova Tobias Vetter Stephanie Eisner Shaochun Huang Ilias Pechlivanidis Michael Strauch Alexander Gelfan Rohini Kumar Valentin Aich Berit Arheimer Alejandro Chamorro Ann van Griensven Dipangkar Kundu Anastasia Lobanova Vimal Mishra Stefan Plötner Julia Reinhardt Ousmane Seidou Xiaoyan Wang Michel Wortmann Xiaofan Zeng Fred F. HattermannAbstract
No abstract has been registered