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How genetic research contributes to effective lion conservation
Human measures to protect lions have an impact on the genetic health of populations. Dutch and Kenyan scientists discovered this by analysing the DNA of 171 Kenyan lions. "By fencing reserves, for example, the chance of inbreeding increases." With the knowledge and tools from the research, management authorities in Kenya can better protect their valuable wildlife in the future.
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BiodiversityXL Community Event at NIOO
The next BiodiversityXL Community Event is coming up soon and this time it's going to be at NIOO! -
Biodiversity XL Live: The Sound of Biodiversity
Yet another fascinating episode is coming up for the BiodiversityXL Live short livestream series: the Sound of Biodiversity! More and more different approaches and techniques are used, in the hope to gain more knowledge about biodiversity. They help us to look very detailed at individuals, species and ecosystems. But let's not forget about our ears. Sound can tell a lot about the presence of species, but also about their behaviour. Sounds we can hear, like bird songs, but also sounds we can not hear. How do we monitor biodiversity via sound? -
NIOO Theme Biodiversity
In order to protect, or restore biodiversity, it is crucial to consider all forms of life within their entire context. The strength of NIOO-based research is that it integrates all of the different levels and scales that make up biodiversity, from genetic diversity to species diversity, from small to large organisms, from trophic interactions to communities and ecosystems, and in a wide range of terrestrial and aquatic habitats. Therefore, NIOO is in the right position to make a substantial and scientifically important contribution to the societal goal of the SDGs. -
Common insecticide linked to extreme decline in freshwater insects
Thiacloprid, a widely-used pesticide, can cause a large-scale decline in freshwater insects. This was discovered by a team of researchers from Leiden University, including current NIOO-director Geert de Snoo. -
Microbial Farming to increase plant productivity
Plant-growth promoting microbes (PGPM) are a viable alternative to traditional fertilizers for enhancing plant productivity and improving soil quality without environmental pollution. The use of PGPM in agriculture has been hampered by a lack of reproducible results and the difficulty of transferring this technology to the field. This inconsistent success primarily reflects competition or resistance of the original soil microbiome to inoculants, as well as the negative effects of management practices such as fertilization on plant interactions with the soil microbiome and the efficiency of ecosystem services delivered by PGPM. We were the first to circumvent this problem under field conditions by manipulating the soil microbiome to successfully obtain consistent, positive effects of inoculated microbes on plant productivity (Cipriano et al., 2016;https://doi.org/10.1093/femsec/fiw197). However, the influence of the indigenous soil microbiome on plants remains largely unknown. We propose to investigate this tripartite, PGPM-plant-soil microbiome interaction in plant quality and productivity using state-of-the-art ‘omics’ and bioinformatics approaches to investigate facilitation (positive interactions) and competition (negative interactions) by both microbes and PGPM within the plant realized niche following gradients of both soil diversity and nutrient availability. This research will facilitate the development of innovative methods for agricultural and horticultural starting material production using PGPM for sustainable crop production by combining techniques to reduce nutrient input and enhance the efficiency and long-lasting effects of PGPM. This research proposal will integrate approaches to obtain a fundamental understanding of these tripartite interactions in a smart microbiome engineered plant production system for sustainable high-quality crop production. -
Light Pollution
Illumination of forest edges leads to a decrease in moth numbers and changes in the behaviour and success of bigger day as well as night-active animals in the long run. What did we find out at NIOO and what can we do with these results?