- E-mailjarl.giske@uib.no
- Phone+47 55 58 22 10
- Visitor AddressThormøhlens gate 53 A/B5006 Bergen
- Postal AddressPostboks 78035020 Bergen
Textbook
- (2007). Evolusjon og økologi. En innføring. 2. utgave. Fagbokforlaget.
- (1999). Evolusjon og økologi - en innføring. Fagbokforlaget.
Academic article
- (2020). The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism. JASSS : Journal of Artificial Societies and Social Simulation. 1-20.
- (2020). Hormones as adaptive control systems in juvenile fish. Biology Open. 1-16.
- (2020). Hormonal adjustments to future expectations impact growth and survival in juvenile fish. Oikos. 41-51.
- (2019). Decision-making from the animal perspective: Bridging ecology and subjective cognition. Frontiers in Ecology and Evolution. 1-14.
- (2018). AHA: A general cognitive architecture for Darwinian agents. Biologically Inspired Cognitive Architectures. 51-57.
- (2016). The proximate architecture for decision-making in fish. Fish and Fisheries. 680-695.
- (2016). The global potential for carbon capture and storage from forestry. Carbon Balance and Management.
- (2016). Impact of hatch-date on early life growth and survival of Mueller's pearlside (Maurolicus Muelleri) larvae and life-history consequences. Canadian Journal of Fisheries and Aquatic Sciences. 163-176.
- (2016). Impact of hatch date on early life growth and survival of Mueller’s pearlside (Maurolicus muelleri) larvae and life-history consequences. Canadian Journal of Fisheries and Aquatic Sciences. 163-176.
- (2016). From sensing to emergent adaptations: Modelling the proximate architecture for decision-making. Ecological Modelling. 90-100.
- (2015). What difference does it make if viruses are strain-, rather than speciesspecific? Frontiers in Microbiology.
- (2014). The emotion system promotes diversity and evolvability. Proceedings of the Royal Society of London. Biological Sciences.
- (2014). Optimal defense strategies in an idealized microbial food web under trade-off between competition and defense. PLOS ONE.
- (2014). Marine ecosystem acoustics (MEA): Quantifying processes in the sea at the spatio-temporal scales on which they occur. ICES Journal of Marine Science. 2357-2369.
- (2014). A theoretical analysis of how strain-specific viruses can control microbial species diversity. Proceedings of the National Academy of Sciences of the United States of America. 7813-7818.
- (2013). The Scaled Subspaces Method: A new trait-based approach to model communities of populations with largely inhomogeneous density. Ecological Modelling. 173-186.
- (2013). Successful strategies in size structured mixotrophic food webs. Aquatic Ecology. 329-347.
- (2013). Effects of the emotion system on adaptive behavior. The American Naturalist. 689-703.
- (2012). Selective consequences of catastrophes for growth rates in a stream-dwelling salmonid. Oecologia. 393-404.
- (2012). Hva er et menneske? Hjernen mellom natur og kultur i et langt, historisk perspektiv. Arr - Idéhistorisk tidsskrift. 81-85.
- (2010). The ODD protocol A review and first update. Ecological Modelling. 2760-2768.
- (2009). Quantifying the adaptive value of learning in foraging behavior. The American Naturalist. 478-489.
- (2008). Benefitting from bibliometry. Ethics in Science and Environmental Politics. 79-81.
- (2007). Exploration or exploitation: life expectancy changes the value of learning in foraging strategies. Oikos. 513-523.
- (2006). Co-existence of learners and stayers maintains the advantage of social foraging. Evolutionary Ecology Research. 1311-1324.
- (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling. 115-126.
- (2003). Explicit trade-off rules in proximate adaptive agents. Evolutionary Ecology Research. 835-865.
- (2002). The influence of turbidity on growth and survival of fish larvae: a numerical analysis. Hydrobiologia. 49-59.
- (2002). Artificial evolution of life history and behavior. The American Naturalist. 624-644.
- (2001). Spatial modelling for marine resource management, with a focus on fish. Sarsia. 405-410.
- (1999). Implementing behaviour in individual-based models using neural networks and genetic algorithms. Evolutionary Ecology. 469-483.
- (1999). A length-based hypothesis for feeding migrations in pelagic fish. Canadian Journal of Fisheries and Aquatic Sciences. 26-34.
- (1998). Modelling spatial dynamics of fish. Reviews in Fish Biology and Fisheries. 57-81.
- (1998). Ecology in Mare Pentium; an individual-based spatio-temporal model for fish with adapted behaviour. Fisheries Research. 163-178.
- (1997). The significance of optical properties in competition among visual and tactile planktivores: a theoretical study. Ecological Modelling. 123-136.
- (1995). Why Pelagic Planktivores should be Unselective Feeders. Journal of Theoretical Biology. 41-50.
- (1990). Vertical distribution and trophic interactions of zooplankton and fish in Masfjorden, Norway. Sarsia. 65-81.
Report
- (1998). Geophysical/Economical Feasibility Study of Ocean Disposal of CO2 at Haltenbanken. 138. 138. .
- (1997). Biological impact of CO2 disposal in Norwegian waters: Preliminary review. 2. 2. .
Popular scientific lecture
- (2019). A 100 000 year aquatic journey with our southern African ancestors.
- (2011). Biologi, Fysikk, Kunst og de Store Spørsmål.
Academic lecture
- (2006). Coexistence of mobile and sedentary strategies maintains the advantage of social foraging.
- (2003). Predictable, chaotic or stochastic; do we understand the nature of the oceanic ecosystem?
- (2003). Hedonic models of fish behaviour.
- (2003). Evolusjon og økologi.
- (2002). Modellering av hedonisk atferd.
- (2002). Evolutionary approaches to behaviour in individual-based modelling.
Reader opinion piece
- (2000). Den evolverte hjernen. Bergens Tidende.
- (2000). Av natur er du kommet, til kultur er du blitt. Bergens Tidende.
Book review
- (2009). Hoffnarrens tale: et ID-blikk på Darwinjubileet og evolusjonsteorien. Naturen. 63-64.
- (2009). Gud + evolusjonen = sant + nyttig? Naturen. 61-62.
- (2003). Susan Blackmore: Memesket. Naturen. 188-190.
- (2003). Lærer vi av Darwin-debatten? Vårt land. 20-21.
Popular scientific article
- (2009). Bli liv! Evolusjonens motor og begynnelse. Naturen. 13-25.
- (2009). 150 år underveis mot den store syntesen. Vantro, tvil og tro på Darwin i ny sakprosa. Prosa - tidsskrift for skribenter. 20-26.
- (2003). Replikatologi. Naturen. 151-172.
- (2001). Millenium Man. Naturen. 30-34.
Feature article
- (2009). Darwins farlige ide. Klassekampen.
- (2009). "Ida" er oversolgt. Aftenposten (morgenutg. : trykt utg.).
- (2003). Darwin på hjernen. Bergens Tidende.
Doctoral dissertation
- (2020). Modelling fish growth under hormonal regulation as a factor in Pace of Life.
- (1990). Habitat profitability for pelagic animals : adaptive values along continuous vertical gradients.
Interview
- (2012). Rådyre tidsskrifter kveler økonomien til universiteter og høyskoler.
- (2008). Skal skolen undervise skapelse?
Documentary
- (2008). Hva skal vi med UiB.
Academic chapter/article/Conference paper
- (2011). Cues and decision rules in animal migration. 20 pages.
- (2004). 33. Utilizing different levels of adaptation in individual-based modeling. 15 pages.
- (2002). Individual based modelling. 21 pages.
- (2001). Chapter 4. Theoretical and statistical models in natural resource management and research. 16 pages.
- (2000). Modelling zooplankton dynamics. 97 pages.
- (1999). Chapter 2. A model of enhancement potentials in open ecosystems. 15 pages.
- (1998). Evolutionary models for fisheries management. 10 pages.
- (1998). Ecological Modelling for Fisheries. 58 pages.
Encyclopedia article
- (2003). Models and functioning of marine ecosystems. . In:
- (2003). Encyclopedia of Life Support Systems (EOLSS)[elektronisk ressurs]. x.
Poster
- (2002). hedonisk atferdmodellering.
Academic literature review
- (2020). Computational animal welfare: Towards cognitive architecture models of animal sentience, emotion and wellbeing. Royal Society Open Science. 17 pages.
- (2015). Making predictions in a changing world: The benefits of individual-based ecology. BioScience. 140-150.
More information in national current research information system (CRIStin)