Dag Hessen

Prof. Dag Hessen


Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2004 in Ecology
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Journal Article
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DHDag Hessen
Dag Hessen
GÅGöran I. Ågren
Göran I. Ågren
TAThomas R. Anderson
Thomas R. Anderson
JEJames J. Elser
James J. Elser
PRPeter C. de Ruiter
Peter C. de Ruiter

1 February 2010 in Trends in Ecology & Evolution
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Journal Article
Closed access
DHDag Hessen
Dag Hessen
PJPunidan D. Jeyasingh
Punidan D. Jeyasingh
MNMaurine Neiman
Maurine Neiman
LWLawrence J. Weider
Lawrence J. Weider

19 June 2003 in Oecologia
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Journal Article
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DHDag Hessen
Dag Hessen
FDFrançois Darchambeau
François Darchambeau
PFPer J. Faerøvig
Per J. Faerøvig

1 February 2006 in Ecology
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Journal Article
Open access
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DHDag Hessen
Dag Hessen
BFBjørn A. Faafeng
Bjørn A. Faafeng
VSVal H. Smith
Val H. Smith
VBVegar Bakkestuen
Vegar Bakkestuen
BWBjørn Walseng
Bjørn Walseng
Pelagic crustacean zooplankton were collected from 336 Norwegian lakes covering a wide range of latitude, altitude, lake area, mean depth, production (as chlorophyll a), and fish community structure. Mean zooplankton species richness during the ice‐free season was generally low at high latitudes and altitudes. Further, lower species richness was recorded in western lakes, possibly reflecting constraints on migration and dispersal. However, despite obvious spatial limitations, geographic boundaries were only weak predictors of mean zooplankton richness. Similarly, lake surface area did not contribute positively to mean richness such as seen in other ecosystem surveys. Rather, intrinsic factors such as primary production and fish community (planktivore) structure were identified by regression analysis as the major predictors of zooplankton diversity, while a positive correlation was observed between species richness and total zooplankton biomass. However, in spite of a large number of variables included in this study, the predictive power of multiple regression models was modest (<50% variance explained), pointing to a major role for within‐lake properties, as yet unidentified intrinsic forces, stochasticity, or dispersal as constraints on zooplankton diversity in these lakes.

18 December 2012 in Biological Reviews
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DHDag Hessen
Dag Hessen
MDMartin Daufresne
Martin Daufresne
HLHans P. Leinaas
Hans P. Leinaas

16 September 2003 in Freshwater Biology
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Journal Article
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PFPer J. Færøvig
Per J. Færøvig
DHDag Hessen
Dag Hessen