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Institution

Wageningen University and Research Centre

EducationWageningen, Netherlands
About: Wageningen University and Research Centre is a education organization based out in Wageningen, Netherlands. It is known for research contribution in the topics: Population & Sustainability. The organization has 23474 authors who have published 54833 publications receiving 2608897 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors trace the history leading up to these publications and the subsequent debates, research, institutions, policies, on-the-ground actions, and controversies they triggered.
Abstract: It has been 20 years since two seminal publications about ecosystem services came out: an edited book by Gretchen Daily and an article in Nature by a group of ecologists and economists on the value of the world’s ecosystem services. Both of these have been very highly cited and kicked off an explosion of research, policy, and applications of the idea, including the establishment of this journal. This article traces the history leading up to these publications and the subsequent debates, research, institutions, policies, on-the-ground actions, and controversies they triggered. It also explores what we have learned during this period about the key issues: from definitions to classification to valuation, from integrated modelling to public participation and communication, and the evolution of institutions and governance innovation. Finally, it provides recommendations for the future. In particular, it points to the weakness of the mainstream economic approaches to valuation, growth, and development. It concludes that the substantial contributions of ecosystem services to the sustainable wellbeing of humans and the rest of nature should be at the core of the fundamental change needed in economic theory and practice if we are to achieve a societal transformation to a sustainable and desirable future.

1,514 citations

Journal ArticleDOI
TL;DR: This review uses knowledge gained from human‐modified landscapes to suggest eight hypotheses, which it hopes will encourage more systematic research on the role of landscape composition and configuration in determining the structure of ecological communities, ecosystem functioning and services.
Abstract: Understanding how landscape characteristics affect biodiversity patterns and ecological processes at local and landscape scales is critical for mitigating effects of global environmental change. In this review, we use knowledge gained from human-modified landscapes to suggest eight hypotheses, which we hope will encourage more systematic research on

1,513 citations

Journal ArticleDOI
TL;DR: This work presents the first comprehensive pipeline capable of identifying biosynthetic loci covering the whole range of known secondary metabolite compound classes, and integrates or cross-links all previously available secondary-metabolite specific gene analysis methods in one interactive view.
Abstract: Bacterial and fungal secondary metabolism is a rich source of novel bioactive compounds with potential pharmaceutical applications as antibiotics, anti-tumor drugs or cholesterol-lowering drugs To find new drug candidates, microbiologists are increasingly relying on sequencing genomes of a wide variety of microbes However, rapidly and reliably pinpointing all the potential gene clusters for secondary metabolites in dozens of newly sequenced genomes has been extremely challenging, due to their biochemical heterogeneity, the presence of unknown enzymes and the dispersed nature of the necessary specialized bioinformatics tools and resources Here, we present antiSMASH (antibiotics & Secondary Metabolite Analysis Shell), the first comprehensive pipeline capable of identifying biosynthetic loci covering the whole range of known secondary metabolite compound classes (polyketides, non-ribosomal peptides, terpenes, aminoglycosides, aminocoumarins, indolocarbazoles, lantibiotics, bacteriocins, nucleosides, beta-lactams, butyrolactones, siderophores, melanins and others) It aligns the identified regions at the gene cluster level to their nearest relatives from a database containing all other known gene clusters, and integrates or cross-links all previously available secondary-metabolite specific gene analysis methods in one interactive view antiSMASH is available at http://antismashsecondarymetabolitesorg

1,496 citations

Journal ArticleDOI
TL;DR: According to the data obtained in this work, strain MucT represents a novel bacterium belonging to a new genus in subdivision 1 of the Verrucomicrobia; the name Akkermansia muciniphila gen. nov., sp.
Abstract: The diversity of mucin-degrading bacteria in the human intestine was investigated by combining culture and 16S rRNA-dependent approaches. A dominant bacterium, strain MucT, was isolated by dilution to extinction of faeces in anaerobic medium containing gastric mucin as the sole carbon and nitrogen source. A pure culture was obtained using the anaerobic soft agar technique. Strain MucT was a Gram-negative, strictly anaerobic, non-motile, non-spore-forming, oval-shaped bacterium that could grow singly and in pairs. When grown on mucin medium, cells produced a capsule and were found to aggregate. Strain MucT could grow on a limited number of sugars, including N-acetylglucosamine, N-acetylgalactosamine and glucose, but only when a protein source was provided and with a lower growth rate and final density than on mucin. The G + C content of DNA from strain MucT was 47.6 mol%. 16S rRNA gene sequence analysis revealed that the isolate was part of the division Verrucomicrobia. The closest described relative of strain MucT was Verrucomicrobium spinosum (92 % sequence similarity). Remarkably, the 16S rRNA gene sequence of strain MucT showed 99 % similarity to three uncultured colonic bacteria. According to the data obtained in this work, strain MucT represents a novel bacterium belonging to a new genus in subdivision 1 of the Verrucomicrobia; the name Akkermansia muciniphila gen. nov., sp. nov. is proposed; the type strain is MucT (= ATCC BAA-835T = CIP 107961T).

1,495 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a review of the state-of-the-art of Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed.

1,477 citations


Authors

Showing all 23851 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Albert Hofman2672530321405
Frank B. Hu2501675253464
Willem M. de Vos14867088146
Willy Verstraete13992076659
Jonathan D. G. Jones12941780908
Bert Brunekreef12480681938
Pedro W. Crous11580951925
Marten Scheffer11135073789
Wim E. Hennink11060049940
Daan Kromhout10845355551
Peter H. Verburg10746434254
Marcel Dicke10761342959
Vincent W. V. Jaddoe106100844269
Hao Wu10566942607
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023278
2022861
20214,144
20203,722
20193,443
20183,226