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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.


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Journal ArticleDOI
21 Jul 2006-Science
TL;DR: Evidence of declines (pre-versus post-1980) in local bee diversity in Britain and the Netherlands is found and a causal connection between local extinctions of functionally linked plant and pollinator species is strongly suggested.
Abstract: Despite widespread concern about declines in pollination services, little is known about the patterns of change in most pollinator assemblages. By studying bee and hoverfly assemblages in Britain and the Netherlands, we found evidence of declines (pre-versus post-1980) in local bee diversity in both countries; however, divergent trends were observed in hoverflies. Depending on the assemblage and location, pollinator declines were most frequent in habitat and flower specialists, in univoltine species, and/or in nonmigrants. In conjunction with this evidence, outcrossing plant species that are reliant on the declining pollinators have themselves declined relative to other plant species. Taken together, these findings strongly suggest a causal connection between local extinctions of functionally linked plant and pollinator species.

2,616 citations

Journal ArticleDOI
LaDeana W. Hillier1, Webb Miller2, Ewan Birney, Wesley C. Warren1  +171 moreInstitutions (39)
09 Dec 2004-Nature
TL;DR: A draft genome sequence of the red jungle fowl, Gallus gallus, provides a new perspective on vertebrate genome evolution, while also improving the annotation of mammalian genomes.
Abstract: We present here a draft genome sequence of the red jungle fowl, Gallus gallus. Because the chicken is a modern descendant of the dinosaurs and the first non-mammalian amniote to have its genome sequenced, the draft sequence of its genome--composed of approximately one billion base pairs of sequence and an estimated 20,000-23,000 genes--provides a new perspective on vertebrate genome evolution, while also improving the annotation of mammalian genomes. For example, the evolutionary distance between chicken and human provides high specificity in detecting functional elements, both non-coding and coding. Notably, many conserved non-coding sequences are far from genes and cannot be assigned to defined functional classes. In coding regions the evolutionary dynamics of protein domains and orthologous groups illustrate processes that distinguish the lineages leading to birds and mammals. The distinctive properties of avian microchromosomes, together with the inferred patterns of conserved synteny, provide additional insights into vertebrate chromosome architecture.

2,579 citations

Journal ArticleDOI
TL;DR: In this paper, the authors review emerging ways to link theory to observation, and conclude that although, field observations can provide hints of alternative stable states, experiments and models are essential for a good diagnosis.
Abstract: Occasionally, surprisingly large shifts occur in ecosystems. Theory suggests that such shifts can be attributed to alternative stable states. Verifying this diagnosis is important because it implies a radically different view on management options, and on the potential effects of global change on such ecosystems. For instance, it implies that gradual changes in temperature or other factors might have little effect until a threshold is reached at which a large shift occurs that might be difficult to reverse. Strategies to assess whether alternative stable states are present are now converging in fields as disparate as desertification, limnology, oceanography and climatology. Here, we review emerging ways to link theory to observation, and conclude that although, field observations can provide hints of alternative stable states, experiments and models are essential for a good diagnosis.

2,464 citations

Journal ArticleDOI
TL;DR: In this article, the authors used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971-2000) and concluded that previously published results of phenological changes were not biased by reporting or publication predisposition.
Abstract: Global climate change impacts can already be tracked in many physical and biological systems; in particular, terrestrial ecosystems provide a consistent picture of observed changes. One of the preferred indicators is phenology, the science of natural recurring events, as their recorded dates provide a high-temporal resolution of ongoing changes. Thus, numerous analyses have demonstrated an earlier onset of spring events for mid and higher latitudes and a lengthening of the growing season. However, published single-site or single-species studies are particularly open to suspicion of being biased towards predominantly reporting climate change-induced impacts. No comprehensive study or meta-analysis has so far examined the possible lack of evidence for changes or shifts at sites where no temperature change is observed. We used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971–2000). Our results showed that 78% of all leafing, flowering and fruiting records advanced (30% significantly) and only 3% were significantly delayed, whereas the signal of leaf colouring/fall is ambiguous. We conclude that previously published results of phenological changes were not biased by reporting or publication predisposition: the average advance of spring/summer was 2.5 days decade � 1 in Europe. Our analysis of 254 mean national time series undoubtedly demonstrates that species’ phenology is responsive to temperature of the preceding

2,457 citations

Journal ArticleDOI
Christina Fitzmaurice1, Christina Fitzmaurice2, Daniel Dicker1, Daniel Dicker2, Amanda W Pain2, Hannah Hamavid2, Maziar Moradi-Lakeh2, Michael F. MacIntyre3, Michael F. MacIntyre2, Christine Allen2, Gillian M. Hansen2, Rachel Woodbrook2, Charles D.A. Wolfe2, Randah R. Hamadeh4, Ami R. Moore5, A. Werdecker6, Bradford D. Gessner, Braden Te Ao, Brian J. McMahon7, Chante Karimkhani8, Chuanhua Yu9, Graham S Cooke10, David C. Schwebel11, David O. Carpenter12, David M. Pereira13, Denis Nash, Dhruv S. Kazi14, Diego De Leo15, Dietrich Plass16, Kingsley N. Ukwaja17, George D. Thurston, Kim Yun Jin18, Edgar P. Simard19, Edward J Mills20, Eun-Kee Park21, Ferrán Catalá-López22, Gabrielle deVeber, Carolyn C. Gotay23, Gulfaraz Khan24, H. Dean Hosgood25, Itamar S. Santos26, Janet L Leasher27, Jasvinder A. Singh28, James Leigh12, Jost B. Jonas29, Juan R. Sanabria30, Justin Beardsley31, Justin Beardsley32, Kathryn H. Jacobsen33, Ken Takahashi34, Richard C. Franklin, Luca Ronfani35, Marcella Montico36, Luigi Naldi36, Marcello Tonelli, Johanna M. Geleijnse37, Max Petzold38, Mark G. Shrime39, Mark G. Shrime40, Mustafa Z. Younis41, Naohiro Yonemoto42, Nicholas J K Breitborde, Paul S. F. Yip43, Farshad Pourmalek44, Paulo A. Lotufo24, Alireza Esteghamati27, Graeme J. Hankey45, Raghib Ali46, Raimundas Lunevicius33, Reza Malekzadeh47, Robert P. Dellavalle45, Robert G. Weintraub48, Robert G. Weintraub49, Robyn M. Lucas50, Robyn M. Lucas51, Roderick J Hay52, David Rojas-Rueda, Ronny Westerman, Sadaf G. Sepanlou53, Sandra Nolte, Scott B. Patten54, Scott Weichenthal37, Semaw Ferede Abera55, Seyed-Mohammad Fereshtehnejad56, Ivy Shiue57, Tim Driscoll58, Tim Driscoll59, Tommi J. Vasankari29, Ubai Alsharif, Vafa Rahimi-Movaghar54, Vasiliy Victorovich Vlassov45, W. S. Marcenes60, Wubegzier Mekonnen61, Yohannes Adama Melaku62, Yuichiro Yano56, Al Artaman63, Ismael Campos, Jennifer H MacLachlan41, Ulrich O Mueller, Daniel Kim53, Matias Trillini64, Babak Eshrati65, Hywel C Williams66, Kenji Shibuya67, Rakhi Dandona68, Kinnari S. Murthy69, Benjamin C Cowie69, Azmeraw T. Amare, Carl Abelardo T. Antonio70, Carlos A Castañeda-Orjuela71, Coen H. Van Gool, Francesco Saverio Violante, In-Hwan Oh72, Kedede Deribe73, Kjetil Søreide62, Kjetil Søreide74, Luke D. Knibbs75, Luke D. Knibbs76, Maia Kereselidze77, Mark Green78, Rosario Cardenas79, Nobhojit Roy80, Taavi Tillmann57, Yongmei Li81, Hans Krueger82, Lorenzo Monasta24, Subhojit Dey36, Sara Sheikhbahaei, Nima Hafezi-Nejad45, G Anil Kumar45, Chandrashekhar T Sreeramareddy69, Lalit Dandona83, Haidong Wang69, Haidong Wang2, Stein Emil Vollset2, Ali Mokdad84, Ali Mokdad76, Joshua A. Salomon2, Rafael Lozano41, Theo Vos2, Mohammad H. Forouzanfar2, Alan D. Lopez2, Christopher J L Murray50, Mohsen Naghavi2 
University of Washington1, Institute for Health Metrics and Evaluation2, Iran University of Medical Sciences3, King's College London4, Arabian Gulf University5, University of North Texas6, Auckland University of Technology7, Alaska Native Tribal Health Consortium8, Columbia University9, Wuhan University10, Imperial College London11, University of Alabama at Birmingham12, University at Albany, SUNY13, City University of New York14, University of California, San Francisco15, Griffith University16, Environment Agency17, New York University18, Southern University College19, Emory University20, University of Ottawa21, Kosin University22, University of Toronto23, University of British Columbia24, United Arab Emirates University25, Albert Einstein College of Medicine26, University of São Paulo27, Nova Southeastern University28, University of Sydney29, Heidelberg University30, Cancer Treatment Centers of America31, Case Western Reserve University32, University of Oxford33, George Mason University34, James Cook University35, University of Trieste36, University of Calgary37, Wageningen University and Research Centre38, University of Gothenburg39, University of the Witwatersrand40, Harvard University41, Jackson State University42, University of Arizona43, University of Hong Kong44, Tehran University of Medical Sciences45, University of Western Australia46, Aintree University Hospitals NHS Foundation Trust47, University of Colorado Denver48, Veterans Health Administration49, University of Melbourne50, Royal Children's Hospital51, Australian National University52, University of Marburg53, Charité54, Health Canada55, College of Health Sciences, Bahrain56, Karolinska Institutet57, Northumbria University58, University of Edinburgh59, National Research University – Higher School of Economics60, Queen Mary University of London61, Addis Ababa University62, Northwestern University63, Northeastern University64, Mario Negri Institute for Pharmacological Research65, Arak University of Medical Sciences66, University of Nottingham67, University of Tokyo68, Public Health Foundation of India69, University of Groningen70, University of the Philippines Manila71, University of Bologna72, Kyung Hee University73, Brighton and Sussex Medical School74, Stavanger University Hospital75, University of Bergen76, University of Queensland77, National Centre for Disease Control78, University of Sheffield79, Universidad Autónoma Metropolitana80, University College London81, Genentech82, Universiti Tunku Abdul Rahman83, Norwegian Institute of Public Health84
TL;DR: To estimate mortality, incidence, years lived with disability, years of life lost, and disability-adjusted life-years for 28 cancers in 188 countries by sex from 1990 to 2013, the general methodology of the Global Burden of Disease 2013 study was used.
Abstract: Importance Cancer is among the leading causes of death worldwide. Current estimates of cancer burden in individual countries and regions are necessary to inform local cancer control strategies. Objective To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 28 cancers in 188 countries by sex from 1990 to 2013. Evidence Review The general methodology of the Global Burden of Disease (GBD) 2013 study was used. Cancer registries were the source for cancer incidence data as well as mortality incidence (MI) ratios. Sources for cause of death data include vital registration system data, verbal autopsy studies, and other sources. The MI ratios were used to transform incidence data to mortality estimates and cause of death estimates to incidence estimates. Cancer prevalence was estimated using MI ratios as surrogates for survival data; YLDs were calculated by multiplying prevalence estimates with disability weights, which were derived from population-based surveys; YLLs were computed by multiplying the number of estimated cancer deaths at each age with a reference life expectancy; and DALYs were calculated as the sum of YLDs and YLLs. Findings In 2013 there were 14.9 million incident cancer cases, 8.2 million deaths, and 196.3 million DALYs. Prostate cancer was the leading cause for cancer incidence (1.4 million) for men and breast cancer for women (1.8 million). Tracheal, bronchus, and lung (TBL) cancer was the leading cause for cancer death in men and women, with 1.6 million deaths. For men, TBL cancer was the leading cause of DALYs (24.9 million). For women, breast cancer was the leading cause of DALYs (13.1 million). Age-standardized incidence rates (ASIRs) per 100 000 and age-standardized death rates (ASDRs) per 100 000 for both sexes in 2013 were higher in developing vs developed countries for stomach cancer (ASIR, 17 vs 14; ASDR, 15 vs 11), liver cancer (ASIR, 15 vs 7; ASDR, 16 vs 7), esophageal cancer (ASIR, 9 vs 4; ASDR, 9 vs 4), cervical cancer (ASIR, 8 vs 5; ASDR, 4 vs 2), lip and oral cavity cancer (ASIR, 7 vs 6; ASDR, 2 vs 2), and nasopharyngeal cancer (ASIR, 1.5 vs 0.4; ASDR, 1.2 vs 0.3). Between 1990 and 2013, ASIRs for all cancers combined (except nonmelanoma skin cancer and Kaposi sarcoma) increased by more than 10% in 113 countries and decreased by more than 10% in 12 of 188 countries. Conclusions and Relevance Cancer poses a major threat to public health worldwide, and incidence rates have increased in most countries since 1990. The trend is a particular threat to developing nations with health systems that are ill-equipped to deal with complex and expensive cancer treatments. The annual update on the Global Burden of Cancer will provide all stakeholders with timely estimates to guide policy efforts in cancer prevention, screening, treatment, and palliation.

2,375 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