Arie J. van Noordwijk

Curriculum vitae Arie Johannes van Noordwijk
 

Personal:

born 17 June 1949 in London (Ont.) Canada.

married 1972, divorced 1995, remarried 1997

children born in 1978, 1981, 1983, 1999 & 2002

nationality: Dutch and Canadian citizenship
 

Education:

Primary school in Amsterdam and secondary schools in Amsterdam and Hilversum, HBS-B exam at the 'Nieuwe Lyceum' in Hilversum in 1967.

Biology-study at the 'Rijksuniversiteit Utrecht' with:

1972 kandidaatsexam B-1 and 

1976 doctoraalexam: Major (12 months) in theoretical biology (bioinformatics) (Prof Dr A. Lindenmayer / Dr P. Hogeweg), Minor (6 months) in population genetics (Prof Dr W. Scharloo / Dr G. de Jong) & Minor (6 months) in Marine ecology (Prof Dr G. Persoone, R.U. Gent).

1980 Doctor of science (cum laude) Rijksuniversiteit Utrecht (Prof Dr W. Scharloo) Thesis: "On the genetical ecology of the Great Tit, L." The doctoral research was carried out in a cooperative project of the "vakgroep Populatie en Evolutiebiologie R.U. Utrecht" and the "Instituut voor Oecologisch Onderzoek", in Heteren.

1986 Habilitation in Zoology, University of Basel.
 

Professional positions:

• 1994-2004 Professor of Animal Population Ecology at Utrecht University.
   
• 1991-present Netherlands Institute of Ecology (Centre for Terrestrial Ecology) from 1991-2002 Head of the department "Animal Population Biology" 
   
• 1984 - 1991 Assistent (Professor) at the "Zoologisches Institut" of the University of Basel.
   
• 1986 - 1994 "Privatdozent" in Zoology at the University of Basel.
   
• 1983 - 1984 Theoretical biologist at the "Tjeukemeer Laboratorium" of the "Limnologisch Instituut" of the K.N.A.W. 
   
• 1982 - 1983 Scientist in the department of Systems-analysis of the "Sociaal en Cultureel Planbureau" in Rijswijk (NL).
   
• 1980 - 1981 Research Fellowship paid by the Netherlands Organisation for the Advancement of Pure Research (Z.W.O.) in the department of Ecology and Evolution, State University of New York at Stony Brook, N.Y., USA.
   
• 1978 - 1980 Scientist BION (Foundation for Fundamental Biological Research).
   
• 1976 - 1977 Scientist dept. of Population and Evolutionary Biology R.U. Utrecht.
   
• 1973 - 1976 Assistent Theoretical Biology dept R.U. Utrecht.
   
• 1971 - 1973 Assistent genetics lab-course, R.U. Utrecht.
   

Most cited publications:
 

>500 times:
van Noordwijk, A.J. & G. de Jong, 1986. Acquisition and allocation of resources: their influence on variation in life history tactics. Am. Nat. 128 : 137 - 142.
  

>150 times:
Boag, P.T. & A.J. van Noordwijk 1987. Quantitative genetics in wild bird populations. pp 45 - 78 in F. Cooke & P.A. Buckley (eds) Avian Genetics, Academic Press 1987.

van Noordwijk, A.J., J.H. van Balen & W. Scharloo 1980. Heritability of ecologically important traits in the Great Tit. Ardea 68: 193-203.

Visser, M.E., A.J. van Noordwijk, J. M. Tinbergen & C. M. Lessells 1998. Warmer springs lead to mis-timed reproduction in Great Tits (Parus major). Proc. R. Soc. Lond. B. 265: 1867-1870.
 

EXPERTISE

genetical ecology
My interest lies in evolutionary processes and particularly in the border area between genetics and ecology. In this border area there are two main themes: the maintenance of genetic variation for life history traits and the spatial structure of populations. These themes are linked, because the exchange of individuals between areas with different selection regimes is a potent mechanism to maintain genetic variation.

My personal motivation for this research programme is that we know far too little about the processes involved to make any sort of prediction which species (or populations) have the ability to adapt to which changes in environmental conditions and at what maximum rates. Such knowledge is crucial if we want to assess long term effects of human environmental impact. At the moment, we do not even know what one should study if one wants to make predictions for particular cases.

I have largely worked with birds, because these organisms allow the combination of many techniques. In birds, it is possible to follow individuals throughout their life in natural environments, to know who are the parents of whom in natural populations, to study their movements over small and large distances and large data-sets with such information exist. It is also possible, although not easy, to hold and breed them in captivity in order to study physiological processes in detail under controlled standardised conditions, or to make selection lines. At the moment we are at the verge of a new development where selection lines enable the detection of the gene loci involved with the help of molecular techniques.

My main interest and my main strength are in making cross-connections between different techniques and different fields. In making these combinations, I have developed a strong methodological interest, particularly in the field of data analysis.

I am proud of the fact that my work has found its way into textbooks on evolution, ecology, behaviour and quantitative genetics and it is my ambition to add the solution to several problems to that list, either by myself or through my colleagues and students.
 

life history evolution

 

population structure: inbreeding and dispersal

Kluijver (1951) explicitly stated that the Great Tit (Parus major) is an ideal study species for bridging the gap between the individual and the population level. To study populations as the sum of what happens to all its individual members, brings the variation among individuals and the importance of the interactions to the foreground. On top of that, the spatial structure of populations comes out as an important element.

The spatial structure of popualtions is largely determined by dispersal, the (net) displacement of individuals between their site of birth and their site of reporduction. However, even with large amounts of data on individuals where we know the site of birth and the site of reproduction drawing conclusions about dispersal is not so easy because of a number of methodological problems. The observations that can be made are quite different depending on where an individual was born (e.g. in the centre or at the periphery of the study area.

A first objective is therefore to develop methods for describing and then filtering out the limitations on our observations. Several methods are currently under development.

The knowledge of pedigrees has allowed us to study the effects of inbreeding and mate choice with respect to relatedness, in particular in the island populations on Vlieland and more analyses are under way.
 

phenotypic plasticity

When the same genes (or a single genotype) produces different phenotypes we call this phenotypic plasticity. This phenomenon becomes particularly interesting when the plasticity is adaptive, that is when the different phenotypes increase the fitness in the environment where those phenotypes are produced. When we understand the main environmental factors determining the phenotypic plasticity of certain traits, we can study the reaction norms, which describe the phenotype for a specific genotype as a function of the environment.

Whereas reaction norms can be measured directly in clonal organisms by raising the same clones in different environments, we can only deduce reaction norms indirectly in obligately sexual organisms. Nevertheless, the reaction norm approach allows us to consider genetic variation and structured environmental variation in a single framework. Since natural environments are always structured and since animals can often choose to some extent where the live, we need a theoretical framework such as the reaction norm approach to put al the different elements in relation to each other.

This is a relatively young area and my contributions are mainly in the further development of conceptual models, although the possibilities for application are always explicitly present.
 

quantitative genetics
 

PERSONAL NOTE

How to spot type I errors or the insignificance of low P values.

The human eye is deceptively good at detecting patterns. Over the last few months, I have encountered several cases where scientists reported nominally highly significant results in a part of their data. In none of these cases was it clear that splitting the data was part of a design made before the data analysis started. Whereas the use of Bonferroni corrections of significance levels for the number of tests made is becoming a standard practice, the problem of reporting nominal probabilities in cases where these are inappropriate is persistent. Statistical testing of hypotheses that are generated from the same data is never allowed. There are several recent publications emphasising the same point in various forms and in various disciplines of science and social science (e.g. search the web with the keyword insignificance). If one would allow hypotheses to be tested on the data from which they are generated, there is no way of accounting for the implicit process of selecting promising avenues in describing the data. It is of course a sensible strategy to try and find patterns in datasets. It is of course likely that stronger patterns are better candidates for further research, but nominal probability values are only appropriate in separate independent datasets where one tests the hypotheses generated from the first dataset.

The whole idea of significance testing rests on specifying the probability that the reported or a more extreme result would have been found if the null hypothesis, no relation or no difference, is true. When we accept a probability of 5 % as a critical border, we mistakenly accept that in one case in twenty we reject the null hypothesis of no relation or no difference. This raises the question of how to recognise cases where these so called type I errors play a role. Every scientist who makes more than twenty statistical tests in a lifetime, will be confronted with presumed results that are in fact type I errors. In the first year that I collected field data I found a relation between body size of female birds and their onset of egg-laying. I found a number of publications reporting the same pattern, but only later found out that there were as many publications reporting the opposite pattern. I was helped by the comments of a senior colleague who tempered my excitement by remarking: "if you show me the same pattern in next years data, I will start thinking about it." By now it is clear that the pattern I observed is nominally significant in about one case in twenty. The question is how I could have known or suspected myself or in other words could I have spotted that I was dealing with a type I error? First of all, I was in the position that I did not have to rush into print or at least try to do so. Unfortunately, it seems that fewer and fewer people can afford to do so. Second, I should have realised that a causal explanation for the opposite pattern was only slightly less plausible. Third, under my hypothetical explanation, I should have found a similar relation in males which was absent. Fourth, I should have realised that I was probably not the first one to look at this relation. Thus, internal consistency and consistency with what is known are important tools in spotting type I errors.

Rare events do occur, I did once win a car in a sweepstake. Type I errors will occur by definition in one case out of twenty. Not identifying type I errors will lead to many people losing a lot of effort in trying to repeat or build on the results. Genuine type I errors will occur, and will lead to a situation where only one repetition in twenty being successful. It should at all costs be avoided that these are augmented by a large number of extra cases where nominal P-values are inappropriate because the hypothesis tested was derived from the same data. In particular splitting data along an independent class variable or at some value of the independent variable can only be used to generate hypotheses that should be tested on independent data.

Arie J. van Noordwijk

June 2003

Selected Publications

Postma, E; Van Noordwijk, AJ 2005
Gene Flow Maintains A Large Genetic Difference In Clutch Size At A Small Spatial Scale
NATURE 433 (7021): 65-68

Postma, E; Van Noordwijk, AJ 2005
Genetic Variation For Clutch Size In Natural Populations Of Birds From A Reaction Norm Perspective
ECOLOGY 86 (9): 2344-2357

K van Oers, G de Jong, AJ. van Noordwijk, B. Kempenaers1) & PJ. Drent 2005
Contribution of genetics to the study of animal personalities: a review of case studies
Behaviour 142, 1191-1212

The need for evolutionary studies on quantitative traits that integrate genetics is increasing. Studies on consistent individual differences in behavioural traits provide a good opportunity to do controlled experiments on the genetic mechanisms underlying the variation and covariation in complex behavioural traits. In this review we will highlight the contribution of genetic studies in animal personality research. We will start with reviewing the evidence that shows how much variation in animal personality traits is genetic, and connect this to knowledge from human personality studies.We will continue by considering the nature of that variation, its generation and maintenance. Finally we will point to further possibilities for studying the genetics of animal personalities. We will underline the importance of integrating both proximate and ultimate approaches when studying the evolution of animal personalities.
Reprint or PDF can be requested at library@nioo.knaw.nl

Doligez B, Thomson DL & van Noordwijk, AJ 2004
Using large-scale data analysis to assess life history and behavioural traits: the case of the reintroduced White stork Ciconia ciconia population in the Netherlands
Animal Biodiversity and Conservation. 27 : 387- 402.

Van Oers, K; De Jong, G; Drent, PJ; van Noordwijk AJ 2004
A Genetic Analysis Of Avian Personality Traits: Correlated, Response To Artificial Selection
BEHAVIOR GENETICS 34: 611-619

Van Oers, K; Drent, PJ; De Jong, G; van Noordwijk AJ 2004
Additive And Nonadditive Genetic Variation In Avian Personality Traits
HEREDITY 93: 496-503

van Noordwijk, A.J., Spina, F., Baillie, S.R., Downie, I., Ferri, A., Marangoni, L. and Wassenaar, R. 2004
EURING Data Bank geographical index.
contains tables and maps on 400 bird species
Full article: http://www.euring.org/edb

van Oers K, Drent P, de Goede P, van Noordwijk AJ 2004
Realized heritability and repeatability of risk-taking behaviour in relation to avian personalities.
P Roy Soc Lond B Bio 271: 65-73.

Drent,P.J., van Oers,K. & van Noordwijk,A.J. 2003
Realised heritability of personalities in the great tit (Parus major)
Proc. R. Soc. Lond. B . 270: 45-51

Thomson DL, van Noordwijk A, Hagemeijer W 2003
Estimating avian dispersal distances from data on ringed birds
J APPL STAT 30 (9): 1003-1008

van Noordwijk AJ 2003
Climate change – the earlier bird.
Nature 422 : 29-29

Dingemanse, N.J., Both, C., van Noordwijk, A. J. , Rutten, A.L. & Drent, P.J. 2003
Natal dispersal and personalities in great tits (Parus major ).
Proc R Soc Lond B 270: 741-747

van Noordwijk AJ, Speek G, Clark JA, Rohde, Z, Wassenaar, RD . 2003
The EURING exchange code 2000
Journal fur Ornithologie 144(4) 479-483.

Postma E, Kruuk LEB, Merilä J, van Noordwijk AJ Sheldon BC 2003
Comment on Quantitative genetic analysis of natural populations by Allen J. Moore & Penelope F. Kukuk in Nature Reviews Genetics 3, 971-978 (2002).
Nature Reviews Genetics Published online only on 1 May 2003.

Weber, A & van Noordwijk A 2002
Swimming behaviour of Daphnia clones: differentiation through predator infochemicals.
J Plankton Res 24: 1335-1348.

van Noordwijk, AJ 2002
Excuses for bird infidelity (News & Views)
Nature 419: 571.

van Noordwijk, AJ (2002) 2002
Quantifying bird diversity. (Book review)
Nature 418: 588-589.

Dingemanse, N. J., Both, C., Drent, P. J., van Oers, K. & van Noordwijk, A. J. 2002
. Repeatability and heritability of exploratory behaviour in great tits from the wild.
Animal Behaviour 64: 929-938

van Noordwijk, AJ 2002
The tale of the parasitic cuckoos. (News & Views)
Nature 416: 687-690

Grieco F, van Noordwijk AJ, Visser ME 2002
Evidence for the effect of learning on timing of reproduction in blue tits.
SCIENCE 296 (5565): 136-138.

Speek, G, Clark, JA, Rohde, Z, Wassenaar R. & van Noordwijk, AJ 2001
The EURING exchange code 2000.
101 pp
Publisher: Vogeltrekstation Heteren

Links

Index to the EURING databank
http://www.euring.org/edb
 

van Noordwijk & de Jong 1986
AmNat86_acq-all.pdf (621.7 KB)

de Jong & van Noordwijk 1992
AmNat92_DeJong.pdf (2.0 MB)

Nager & van Noordwijk 1995
AmNat95_Nager.pdf (2.2 MB)

Nager, Ruegger & van Noordwijk 1997
jae-97-Nag.pdf (2.2 MB)

van Noordwijk, Perrins & McCleery 1995
JAE-95-vN-P-McC.pdf (1.3 MB)

 
DOWNLOADS:
> AmNat86_acq-all.pdf
> AmNat92_DeJong.pdf
> AmNat95_Nager.pdf
> JAE-95-vN-P-McC.pdf
> jae-97-Nag.pdf