greenhouse gas
Groundbreaking research to develop soil carbon sequestration monitoring system (News)
Capturing carbon in soil is a frequent feature of climate change mitigation measures, but the variability in soils and greenhouse gas emissions makes it difficult to evaluate results. A new £1 million research project led by ... Read more
Choosing Our Tomorrows: Video Diaries of a Farming Family, set in 2050 (Research Page)
It is the year 2050. How has society reacted and adapted to climate change? A farming family have recorded three sets of video diaries. Dad (Jack), mum (Beth) and daughter (Sally). Each set of diaries decsribes life in diff ... Read more
My area of expertise is in measuring and modelling the deposition, concentrations and trends of ground-level ozone and other gases although I have worked in other areas including acid deposition and NH3 exchange. I have also worked with a Chemical Ionisation Mass Spectrometer (CIMS) to measure various different species and assist with instrumentation for field sites and campaigns.
Past research
Coyle Mhairi; Cape John N.; Flechard Chris; Fowler David; Helfter Carole; Jones Matthew; Kentisbeer John; Leeson Sarah R.; Leith Ian D.; Mullinger Neil; Nemitz Eiko; Roberts Elin; Simmons Ivan; Storeton-West Robert; Twigg Marsailidh; van Dijk Netty; , 2018, Meteorological measurements at Auchencorth Moss from 1995 to 2016. Geoscience Data Journal
Finco Angelo; Coyle Mhairi; Nemitz Eiko; Marzuoli Riccardo; Chiesa Maria; Loubet Benjamin; Fares Silvano; Diaz-Pines Eugenio; Gasche Rainer; Gerosa Giacomo; , 2018, Characterization of ozone deposition to a mixed oak–hornbeam forest – flux measurements at five levels above and inside the canopy and their interactions with nitric oxide. Atmospheric Chemistry and Physics, 18, 17945-17961
Cowan N.; Helfter C.; Langford B.; Coyle M.; Levy P.; Moxley J.; Simmons I.; Leeson S.; Nemitz E.; Skiba U.; , 2018, Seasonal fluxes of carbon monoxide from an intensively grazed grassland in Scotland. Atmospheric Environment, 194, 170-178
Song Ling; Liu Xuejun; Skiba Ute; Zhu Bo; Zhang Xifeng; Liu Meiyu; Twigg Marsailidh; Shen Jianlin; Dore Anthony; Reis Stefan; Coyle Mhairi; Zhang Wen; Levy Peter; Fowler David; , 2017, Ambient concentrations and deposition rates of selected reactive nitrogen species and their contribution to PM2.5 aerosols at three locations with contrasting land use in southwest China. Environmental Pollution
Jones Stephanie K.; Helfter Carole; Anderson Margaret; Coyle Mhairi; Campbell Claire; Famulari Daniela; Di Marco Chiara; van Dijk Netty; Tang Y. Sim; Topp Cairistiona F.E.; Kiese Ralf ; Kindler Reimo; Siemens Jan; Schrumpf Marion; Kaiser Klaus; Nemitz Eiko; Levy Peter E.; Rees Robert M. ; Sutton Mark A.; Skiba Ute M.; , 2017, The nitrogen, carbon and greenhouse gas budget of a grazed, cut and fertilised temperate grassland. Biogeosciences, 14, 2069-2088
Malley Christopher S.; Cape J. Neil; Jones Matthew R.; Leeson Sarah R.; Coyle Mhairi; Braban Christine F.; Heal Mathew R.; Twigg Marsailidh M.; , 2016, Regional and hemispheric influences on measured spring peroxyacetyl nitrate (PAN) mixing ratios at the Auchencorth UK EMEP supersite. , 174-175, 135-141
Hayes Felicity; Mills Gina; Jones Laurence; Abbott John; Ashmore Mike; Barnes Jeremy; Cape J. Neil; Coyle Mhairi; Peacock Simon; Rintoul Naomi; Toet Sylvia; Wedlich Kerstin; Wyness Kirsten; , 2016, Consistent ozone-induced decreases in pasture forage quality across several grassland types and consequences for UK lamb production. , 543, 336-346
Hewitt D.K.L.; Mills G.; Hayes F.; Norris D.; Coyle M.; Wilkinson S.; Davies W.; , 2016, N-fixation in legumes – an assessment of the potential threat posed by ozone pollution. , 208, 909-918
Fowler D.; Steadman C.E.; Stevenson D.; Coyle M.; Rees R.M.; Skiba U.M.; Sutton M.A.; Cape J.N.; Dore A.J.; Vieno M.; Simpson D.; Zaehle S.; Stocker B.D.; Rinaldi M.; Facchini M.C.; Flechard C.R.; Nemitz E.; Twigg M.; Erisman J.W.; Butterbach-Bahl K.; Galloway J.N.; , 2015, Effects of global change during the 21st century on the nitrogen cycle. , 15, 13849-13893
Bibliography
- Coyle, M.; Khomik, M.; Artz, R.R.E.; Yelaputri, J. (2019) Carbon storage and greenhouse gas (GHG) emissions from restored peatlands., Project Progress Report, April 2019.
- Coyle, M.; Khomik, M.; Artz, R.R.E.; Yelaputri, J. (2019) Carbon storage and greenhouse gas (GHG) emissions from restored peatlands., Project Progress Report, April 2019.
Reindeer able to maintain circadian rhythm in total light or darkness (News)
Even if it has been dark for months, Rudolph always knows when it is Christmas Eve. In a new paper published in Scientific Reports, an international collaboration of scientists from the James Hutton Institute, the University of ... Read more
Exploring the potential of remote sensing to estimate peatland carbon emissions (News)
Peatlands store large amounts of terrestrial carbon and any changes to their carbon balance could cause large changes in the greenhouse gas balance of the Earth's atmosphere. There is still much uncertainty about how the GHG d ... Read more
Hutton soil scientists help develop first Global Soil Organic Carbon Map (News)
Soil scientists from the James Hutton Institute, along with colleagues at Cranfield University, Agri-Food and Biosciences Institute and the Centre for Ecology and Hydrology, have contributed to the development of the first Global ... Read more
Hutton expertise to support 1.2 billion dollar Indian initiative aimed at combating climate change (News)
Research from the James Hutton Institute will be utilised in a new initiative, with a potential spend of 1.2 billion dollars, aimed at tackling climate change and reducing greenhouse gas emissions (GHG) in India. One of the major ... Read more
Stochastic Anaerobic Digestion Economic Assessment Tool (Research Page)
What is anaerobic digestion? Anaerobic digestion is a process by which micro-organisms break down biodegradable material in the absence of oxygen, leading to the production of biogas and bio-fertilisers. Anaerobic digestion tech ... Read more
Nitrous oxide in soil – the contribution of this greenhouse gas to climate change (Event)
Professor Liz Baggs (Head of Biological Sciences, University of Aberdeen) will give an overview of what we now know about how the contributions of biological and chemical processes to nitrous oxide emission have evolved over time. ... Read more
Soils@Hutton - Soil and Climate Change (Research Page)
Learn more about soils & climate change ... Read more
Measures for greenhouse gas mitigation in agriculture (Event)
This meeting organised by the Society of Chemical Industry will examine the competing pressures of reducing greenhouse gas (GHG) emissions in the agricultural sector while ensuring food security. Measures for Greenhouse Gas Miti ... Read more
Exploring low-carbon transitions by means of model integration (Event)
This seminar "Exploring low-carbon transitions by means of model integration" will be given by Associate Professor Alexey Voinov from the University of Twente, the Netherlands, at the James Hutton Institute in Aberd ... Read more
Vibrant Rural Communities workshop (Research Page)
A workshop was held at Birnam Arts and Conference Centre on 20 November 2013 to provide an update on research being conducted as part of the Vibrant Rural Communities theme of the Food, Land and People Strategic Research programme ... Read more
Are there scalable and sustainable ways of removing greenhouse gases from the atmosphere? (Event)
David Addison and Guy Lomax of Virgin Airlines will deliver this seminar entitled "Are there scalable and sustainable ways of removing greenhouse gases from the atmosphere?" at the James Hutton Institute in Aberdeen ... Read more
Scenarios and land use futures (Research Page)
Environmental, economic and social issues associated with agriculture are often fundamental for rural prosperity and sustainability, with consequent implications for any debate about future land use. A key to supporting the planni ... Read more
OrkCEmP: Exploring ideas about Community in Orkney (Research Page)
... Read more
Current research interests
Past research
I have been involved in a number of international and inter- and transdisciplinary research projects, listed below (note that for older projects links are liable to get mothballed):
- The CAVES (Complexity, Agents, Volatility, Evidence and Scale) project (2005-2008) was funded by the European Commission's Sixth Framework Programme New and Emerging Science and Technology Pathfinder Initiative on Tackling Complexity in Science.
- PolicyGrid (2006-2009) and PolicyGrid II (2009-2012) were collaborations with the University of Aberdeen funded by the Economic and Social Research Council through the National Centre for e-Social Science. This work also led to a short project called SwarmCloud with the aim of grid-enabling the FEARLUS model. (See also PolicyGrid and PolicyGrid II entry on ESRC's research catalogue.)
- The GILDED (Governance, Infrastructure, Lifestyle Dynamics and Energy Demand) project (2008-2012) was funded by the European Commission's Seventh Framework Programme.
- The LOCAW (Low Carbon at Work: Modelling Agents and Organisations to Achieve Transition to a Low Carbon Europe) project (2011-2013) was funded by the European Commission's Seventh Framework Programme.
- The MIRACLE (Mining Relationships Among Variables in Large Datasets from Complex Systems) project (2014-2015) was funded by Round 3 of the Digging into Data Challenge. The UK contribution was funded by the Economic and Social Research Council via Jisc.
- The GLAMURS (Green Lifestyles, Alternative Models and Up-scaling Regional Sustainability) project (2014-2016) was funded by the European Commission's Seventh Framework Programme.
Bibliography
- Cohen, J.J.; Azarova, V.; Klockner, C.A.; Kollmann, A.; Lofstrom, E.; Polhill, J.G.; Reichl, J.; Salt, D. (In press) Tools to improve efficiency in interdisciplinary energy research projects., Energy Research and Social Sciences.
- Ge, J.; Polhill, J.G.; Macdiarmid, J.; Fitton, N.; Smith, P.; Clark, H.; Dawson, T.; Aphale, M. (2021) Food and nutrition security under global trade: A relation-driven agent-based global trade model., Royal Society Open Science, 8, Article No. 201587.
- Ayllon, D.; Railsback, S.F.; Gallagher, C.; Augusiak, J.; Baveco, H.; Berger, U.; Charles, S.; Martin, R.; Focks, A.; Galic, N.; Liu, C.; van Loon, E.E.; Nabe-Nielsen, J.; Piou, C.; Polhill, J.G.; Preuss, T.G.; Radchuk, V.; Schmolke, A.; Stadnicka-Michalak, J.; Thorbek, P.; Grimm, V. (2021) Keeping modelling notebooks with TRACE: good for you and good for environmental research and management support., Environmental Modelling and Software, 136, Article No. 104932.
- Davis, N.A.; Polhill, J.G.; Aitkenhead, M.A. (2021) Measuring heterogeneity in soil networks: a network analysis and simulation-based approach., Ecological Modelling, 439, Article No. 109308.
- Barton, C.M.; Alberti, M.; Ames, D.; Atkinson, J-A.; Bales, J.; Burke, E.; Chen, M.; Diallo, S.Y.; Earn, D.J.D.; Fath, B.; Feng, Z.; Gibbons, C.; Hammond, R.; Hefferman, J.; Houser, H.; Hovmand, P.S.; Kopainsky, B.; Mabry, P.L.; Mair, C.; Meier, P.; Niles, R.; Nosek, B.; Osgood, N.; Pierce, S.; Polhill, J.G.; Prosser, L.; Robinson, E.; Rosenzweig, C.; Sankaran, S.; Stange, K.; Tucker, G. (2020) Call for transparency of COVID-19 models., Science, 368, 482-483.
- Squazzoni, F.; Polhill, J.G.; Edmonds, B.; Ahrweiler, P.; Antosz, P.; Scholz, G.; Chappin, E.; Borit, M.; Verhagen, H.; Giardini, F.; Gilbert, N. (2020) Computational models that matter during a global pandemic outbreak: A call to action., Journal of Artificial Societies and Social Simulation, 23, Article No. 10.
- Davis, N.; Jarvis, A.; Aitkenhead, M.J.; Polhill, J.G. (2020) Trajectories towards maximum power and inequality in resource distribution networks., PLoS ONE, 15, Article No. e0229956.
- Grimm, V.; Railsback, S.F.; Vincenot, C.; Berger, U.; Gallagher, C.; DeAngelis, D.L.; Edmonds, B.; Ge, J.; Giske, J.; Groeneveld, J.; Johnston, A.S.A.; Milles, A.; Nabe-Nielsen, J.; Polhill, J.G.; Radchuk, V.; Rohwader, M.S.; Stillman, R.A.; Thiele, J.; Ayllon, D. (2020) The ODD protocol for describing agent-based and other simulation models: a second update to improve clarity, replication, and structural realism., Journal of Artificial Societies and Social Simulation, 23, Article No. 7.
- Muller, B.; Hoffmann, F.; Heckelei, T.; Muller, C.; Hertel, T.W.; Polhill, J.G.; van Wilk, M.; Achterbosch, T.; Alexander, P.; Brown, C.; Kreuer, D.; Ewert, F.; Ge, J.; Millington, J.; Morley, T.; Seppelt, R.; Verburg, P.H.; Webber, H. (2020) Modelling food security: Bridging the gap between the micro and the macro scale., Global Environmental Change, 63, Article No. 102085.
- Ge, J.; Polhill, G. (2020) Agent-based models of coupled social and natural systems., In: Sang, N. (ed.). Modelling Nature-based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning. Cambridge University Press, Chapter 2, pp56-81.
- Craig, T.; Polhill, J.G.; Colley, K.; Carrus, G.; Maricchiolo, F.; Bonaiuto, M.; Bonnes, M.; Dumitru, A.; Mira, R.G. (2019) Transmission of pro-environmental norms in large organizations., Sustainable Production and Consumption, 19, 25-32.
- van Voorn, G.A.K.; Polhill, J.G.; Edmonds, B.; Hofstede, G.J. (2019) Editorial - Agent-based modelling for resilience., Ecological Complexity, 40, Article No. 100775.
- Gonzalez-Redin, J.; Gordon, I.J.; Hill, R.; Polhill, J.G.; Dawson, T.P. (2019) Exploring sustainable land use forested tropical social-ecological systems: A case-study in the Wet Tropics., Journal of Environmental Management, 231, 940-952.
- Urquhart, N.; Powers, S.; Wall, Z.; Fonzone, A.; Ge, J.; Polhill, J.G. (2019) Simulating the actions of commuters using a multi-agent system., Journal of Artificial Societies and Social Simulation, 22, Article No. 10.
- Polhill, J.G.; Ge, J.; Hare, M.; Matthews, K.B.; Gimona, A.; Salt, D.; Yeluripati, J. (2019) Crossing the chasm: A `tube-map? for agent-based social simulation of policy scenarios in spatially-distributed systems., Geoinformatica, 23, 169-199.
- Gonzalez-Redin, J.; Polhill, J.G.; Dawson, T.P.; Hill, R.; Gordon, I.J. (2019) Exploring sustainable scenarios in debt-based social-ecological systems: The case for palm oil production in Indonesia., Ambio, 49, 1530-1548.
- Gotts, N.M.; van Voorn, G.A.K.; Polhill, J.G.; de Jong, E.; Edmonds, B.; Hofstede, G.J.; Meyer, R. (2019) Agent-based modelling of socio-ecological systems: Models, projects and ontologies., Ecological Complexity, 40, Article No. 100728.
- Edmonds, B.; Polhill, J.G.; Hales, D. (2019) Predicting social systems -- a challenge., Review of Artificial Societies and Social Simulation, 4 November 2019.
- Ge, J.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Spencer, M. (2018) Not one Brexit: How local context and social processes influence policy analysis., PLoS ONE, 13, Article No. e028451.
- Gonzalez-Redin, J.; Polhill, J.G., Dawson, T.P., Hill, R.; Gordon, I.J. (2018) It's not the 'what', but the 'how': Exploring the role of debt in natural resource (un)sustainability., PLoS ONE, 13, Article No. e0201141.
- Ge, J.; Polhill, J.G.; Craig, T.; Liu, N. (2018) From oil wealth to green growth: An empirical agent-based model of recession, migration and sustainable urban transition., Environmental Modelling and Software, 107, 119-140.
- Ge, J.; Polhill, J.G.; Craig, T.P. (2018) Too much of a good thing? Using a spatial agent-based model of transport to evaluate workplace sharing programs in Aberdeen., Journal of Transport Geography, 69, 83-97.
- Huber, R.; Bakker, M.; Balmann, A.; Berger, T.; Bithell, M.; Britz, W.; Brown, C.; Gret-Regamey, A.; Hang, X.; Le, Q.B.; Mack, G.; Meyfroidt, P.; Millington, J.; Muller, B.; Polhill, J.G.; Sun, J.; Seidl, R.; Troost, C.; Finger, R. (2018) Representation of decision-making in European agricultural agent-based models., Agricultural Systems, 167, 143-160.
- Polhill, J.G. (2018) Why the social simulation community should tackle prediction., Review of Artificial Societies and Social Simulation, 6 August 2018.
- Polhill, J.G.; Craig, T.; Colley, K.; Ge, J.; Sat, D. (2018) The SMARTEES Project and The James Hutton Institute?s potential contribution to the Torry Heat Network project., Appendix 10.4 in support of Torry Heat Network, Report to be presented to Aberdeen City Council.
- Jin, X.B.; Robinson, K.; Lee, A.; Polhill. J.G.; Pritchard, C.; Parker, D.C. (2017) A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., Environmental Modelling and Software, 96, 172-180.
- Gotts, N.M.; Polhill, J. G. (2017) Experiments with a model of domestic energy demand., Journal of Artificial Societies and Social Simulation, 20, Article No. 11.
- Ge, J.; Sutherland, L.A.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Wardell-Johnson, D. (2017) Exploring factors affecting on-farm renewable energy adoption in Scotland using large-scale microdata., Energy Policy, 107, 548-560.
- Garcia-Mira, R.; Dumitru, A.; Alonso-Betanzos, A.; Sanchez-Maro?o, N.; Fontenla-Romero, O.; Craig, T.; Polhill, J.G (2017) Testing scenarios to achieve workplace sustainability goals using backcasting and agent-based modeling., Environment and Behavior, 49, 1007-1037.
- Polhill, J.G.; Craig, T.; Alonso-Betanzos, A.; Sanchez-Marono, N.; Fontenla-Romero, O.; Dumitru, A.; Garcia-Mira, R.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Marricchiolo, F.; Fornara, F.; Ilin, C.; Steg, L.; Ruepert, A.; Keizer, K. (2017) Interactions matter. Modelling everyday pro-environmental norm transmission and diffusion in workplace networks., In: Alonso-Betanzos, A., Sanchez-Maro?o, N., Fontenla-Romero, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, J.M. (eds.) Agent-Based Modeling of Sustainable Behaviors. Springer, Cham, Switzerland, Chapter 2, pp27-52.
- Grimm, V.; Polhill, J.G.; Touza, J. (2017) Documenting social simulation models: The ODD protocol as a standard. (Revised), In: Edmonds, B. & Meyer, R. (eds.). Simulating Social Complexity: A Handbook. 2nd edition. Springer, Berlin, pp349-365.
- Polhill, J.G.; Salt, D. (2017) The importance of ontological structure: why validation by `fit-to-data? is insufficient., In: Edmonds, B. & Meyer, R. (eds.) Simulating Social Complexity: A Handbook. 2nd edition. Springer, 141-172.
- Sanchez-Maronon, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Polhill, J.G.; Craig, T. (2017) Empirically-deprived behavioural rules in agent-based models using decision trees learned from questionnaire data., In: Alonso-Betanzos, A., Sanchez-Marono, N., Fontenla-Romera, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, M. (eds.). Agent Based Modelling of Sustainable Behaviors. Springer, Switzerland, Chapter 3, pp53-76.
- Ge, J.; Polhill, J.G. (2017) Preliminary results from an agent-based model of the daily commute in Aberdeen and Aberdeenshire, UK., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., pp129-142.
- Polhill, J.G.; Gotts, N.M. (2017) How precise are the specifications of a psychological theory? Comparing implementations of Lindenberg and Steg's Goal-Framing Theory of everyday pro-environmental behaviour., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 341-354.
- Polhill, J.G.; Milazzo, L.; Dawson, T.; Gimona, A.; Parker, D. (2017) Lessons learned replicating the analysis of outputs from a social simulation of biodiversity incentivisation., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 355-365.
- Ge, J.; Polhill, J.G. (2016) Exploring the combined effect of factors influencing commuting patterns and CO2 emissions in Aberdeen using an agent-based model., Journal of Artificial Societies and Social Simulation, 19, Article No. 11.
- Polhill, J.G.; Filatova, T.; Schluter, M.; Voinov, A. (2016) Preface to the thematic issue on modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 317.
- Polhill, J.G.; Filatova, T.; Schluter, M.; Voinov, A. (2016) Modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 318-332.
- Filatova, T.; Polhill, J.G.; van Ewijk, S. (2016) Regime shifts in coupled socio-environmental systems: review of modelling challenges and approaches., Environmental Modelling and Software, 75, 333-347.
- Ge, J.; Polhill, J.G.; Macdiarmid, J.; Fitton, N.; Smith, P.; Clark, H.; Dawson, T.; Aphale, M. (2021) Food and nutrition security under global trade: A relation-driven agent-based global trade model., Royal Society Open Science, 8, Article No. 201587.
- Ayllon, D.; Railsback, S.F.; Gallagher, C.; Augusiak, J.; Baveco, H.; Berger, U.; Charles, S.; Martin, R.; Focks, A.; Galic, N.; Liu, C.; van Loon, E.E.; Nabe-Nielsen, J.; Piou, C.; Polhill, J.G.; Preuss, T.G.; Radchuk, V.; Schmolke, A.; Stadnicka-Michalak, J.; Thorbek, P.; Grimm, V. (2021) Keeping modelling notebooks with TRACE: good for you and good for environmental research and management support., Environmental Modelling and Software, 136, Article No. 104932.
- Davis, N.A.; Polhill, J.G.; Aitkenhead, M.A. (2021) Measuring heterogeneity in soil networks: a network analysis and simulation-based approach., Ecological Modelling, 439, Article No. 109308.
- Barton, C.M.; Alberti, M.; Ames, D.; Atkinson, J-A.; Bales, J.; Burke, E.; Chen, M.; Diallo, S.Y.; Earn, D.J.D.; Fath, B.; Feng, Z.; Gibbons, C.; Hammond, R.; Hefferman, J.; Houser, H.; Hovmand, P.S.; Kopainsky, B.; Mabry, P.L.; Mair, C.; Meier, P.; Niles, R.; Nosek, B.; Osgood, N.; Pierce, S.; Polhill, J.G.; Prosser, L.; Robinson, E.; Rosenzweig, C.; Sankaran, S.; Stange, K.; Tucker, G. (2020) Call for transparency of COVID-19 models., Science, 368, 482-483.
- Squazzoni, F.; Polhill, J.G.; Edmonds, B.; Ahrweiler, P.; Antosz, P.; Scholz, G.; Chappin, E.; Borit, M.; Verhagen, H.; Giardini, F.; Gilbert, N. (2020) Computational models that matter during a global pandemic outbreak: A call to action., Journal of Artificial Societies and Social Simulation, 23, Article No. 10.
- Davis, N.; Jarvis, A.; Aitkenhead, M.J.; Polhill, J.G. (2020) Trajectories towards maximum power and inequality in resource distribution networks., PLoS ONE, 15, Article No. e0229956.
- Grimm, V.; Railsback, S.F.; Vincenot, C.; Berger, U.; Gallagher, C.; DeAngelis, D.L.; Edmonds, B.; Ge, J.; Giske, J.; Groeneveld, J.; Johnston, A.S.A.; Milles, A.; Nabe-Nielsen, J.; Polhill, J.G.; Radchuk, V.; Rohwader, M.S.; Stillman, R.A.; Thiele, J.; Ayllon, D. (2020) The ODD protocol for describing agent-based and other simulation models: a second update to improve clarity, replication, and structural realism., Journal of Artificial Societies and Social Simulation, 23, Article No. 7.
- Muller, B.; Hoffmann, F.; Heckelei, T.; Muller, C.; Hertel, T.W.; Polhill, J.G.; van Wilk, M.; Achterbosch, T.; Alexander, P.; Brown, C.; Kreuer, D.; Ewert, F.; Ge, J.; Millington, J.; Morley, T.; Seppelt, R.; Verburg, P.H.; Webber, H. (2020) Modelling food security: Bridging the gap between the micro and the macro scale., Global Environmental Change, 63, Article No. 102085.
- Craig, T.; Polhill, J.G.; Colley, K.; Carrus, G.; Maricchiolo, F.; Bonaiuto, M.; Bonnes, M.; Dumitru, A.; Mira, R.G. (2019) Transmission of pro-environmental norms in large organizations., Sustainable Production and Consumption, 19, 25-32.
- van Voorn, G.A.K.; Polhill, J.G.; Edmonds, B.; Hofstede, G.J. (2019) Editorial - Agent-based modelling for resilience., Ecological Complexity, 40, Article No. 100775.
- Gonzalez-Redin, J.; Gordon, I.J.; Hill, R.; Polhill, J.G.; Dawson, T.P. (2019) Exploring sustainable land use forested tropical social-ecological systems: A case-study in the Wet Tropics., Journal of Environmental Management, 231, 940-952.
- Urquhart, N.; Powers, S.; Wall, Z.; Fonzone, A.; Ge, J.; Polhill, J.G. (2019) Simulating the actions of commuters using a multi-agent system., Journal of Artificial Societies and Social Simulation, 22, Article No. 10.
- Polhill, J.G.; Ge, J.; Hare, M.; Matthews, K.B.; Gimona, A.; Salt, D.; Yeluripati, J. (2019) Crossing the chasm: A `tube-map? for agent-based social simulation of policy scenarios in spatially-distributed systems., Geoinformatica, 23, 169-199.
- Gonzalez-Redin, J.; Polhill, J.G.; Dawson, T.P.; Hill, R.; Gordon, I.J. (2019) Exploring sustainable scenarios in debt-based social-ecological systems: The case for palm oil production in Indonesia., Ambio, 49, 1530-1548.
- Gotts, N.M.; van Voorn, G.A.K.; Polhill, J.G.; de Jong, E.; Edmonds, B.; Hofstede, G.J.; Meyer, R. (2019) Agent-based modelling of socio-ecological systems: Models, projects and ontologies., Ecological Complexity, 40, Article No. 100728.
- Edmonds, B.; Polhill, J.G.; Hales, D. (2019) Predicting social systems -- a challenge., Review of Artificial Societies and Social Simulation, 4 November 2019.
- Ge, J.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Spencer, M. (2018) Not one Brexit: How local context and social processes influence policy analysis., PLoS ONE, 13, Article No. e028451.
- Gonzalez-Redin, J.; Polhill, J.G., Dawson, T.P., Hill, R.; Gordon, I.J. (2018) It's not the 'what', but the 'how': Exploring the role of debt in natural resource (un)sustainability., PLoS ONE, 13, Article No. e0201141.
- Ge, J.; Polhill, J.G.; Craig, T.; Liu, N. (2018) From oil wealth to green growth: An empirical agent-based model of recession, migration and sustainable urban transition., Environmental Modelling and Software, 107, 119-140.
- Ge, J.; Polhill, J.G.; Craig, T.P. (2018) Too much of a good thing? Using a spatial agent-based model of transport to evaluate workplace sharing programs in Aberdeen., Journal of Transport Geography, 69, 83-97.
- Huber, R.; Bakker, M.; Balmann, A.; Berger, T.; Bithell, M.; Britz, W.; Brown, C.; Gret-Regamey, A.; Hang, X.; Le, Q.B.; Mack, G.; Meyfroidt, P.; Millington, J.; Muller, B.; Polhill, J.G.; Sun, J.; Seidl, R.; Troost, C.; Finger, R. (2018) Representation of decision-making in European agricultural agent-based models., Agricultural Systems, 167, 143-160.
- Polhill, J.G. (2018) Why the social simulation community should tackle prediction., Review of Artificial Societies and Social Simulation, 6 August 2018.
- Jin, X.B.; Robinson, K.; Lee, A.; Polhill. J.G.; Pritchard, C.; Parker, D.C. (2017) A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., Environmental Modelling and Software, 96, 172-180.
- Gotts, N.M.; Polhill, J. G. (2017) Experiments with a model of domestic energy demand., Journal of Artificial Societies and Social Simulation, 20, Article No. 11.
- Ge, J.; Sutherland, L.A.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Wardell-Johnson, D. (2017) Exploring factors affecting on-farm renewable energy adoption in Scotland using large-scale microdata., Energy Policy, 107, 548-560.
- Garcia-Mira, R.; Dumitru, A.; Alonso-Betanzos, A.; Sanchez-Maro?o, N.; Fontenla-Romero, O.; Craig, T.; Polhill, J.G (2017) Testing scenarios to achieve workplace sustainability goals using backcasting and agent-based modeling., Environment and Behavior, 49, 1007-1037.
- Ge, J.; Polhill, J.G. (2016) Exploring the combined effect of factors influencing commuting patterns and CO2 emissions in Aberdeen using an agent-based model., Journal of Artificial Societies and Social Simulation, 19, Article No. 11.
- Polhill, J.G.; Filatova, T.; Schluter, M.; Voinov, A. (2016) Preface to the thematic issue on modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 317.
- Polhill, J.G.; Filatova, T.; Schluter, M.; Voinov, A. (2016) Modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 318-332.
- Filatova, T.; Polhill, J.G.; van Ewijk, S. (2016) Regime shifts in coupled socio-environmental systems: review of modelling challenges and approaches., Environmental Modelling and Software, 75, 333-347.
- Lee, J.-S.; Filatova, T.; Ligmann-Zielinska, A.; Hassani-Mahmooei, B.; Stonedahl, F.; Lorscheid, I.; Voinov, A.; Polhill, J.G.; Sun, Z.; Parker, D.C. (2015) The complexities of agent-based modeling output analysis., Journal of Artificial Societies and Social Simulation, 18, Article No. 4.
- Sanchez-Marono, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Brinquis-Nunez, C.; Polhill, J.G.; Craig, T.; Dumitru, A.; Garcia-Mira, R. (2015) An agent-based model for simulating environmental behavior in an educational organization., Neural Processing Letters, 42, 89-118.
- Polhill, J.G. (2015) Extracting OWL ontologies from agent-based models: a netlogo extension., Journal of Artificial Societies and Social Simulation, 18, Article No. 15.
- Gimona, A.; Poggio, L.; Polhill, J.G.; Castellazzi, M. (2015) Habitat networks and food security: promoting species range shift under climate change depends on life history and the dynamics of land use choices., Landscape Ecology, 30, 771-789.
- Craig, T.; Polhill, J.G.; Dent, I.; Galan-Diaz, C.; Heslop, S. (2014) The North East Scotland Energy Monitoring Project: Exploring relationships between household occupants and energy usage., Energy and Buildings, 75, 493-503.
- Muller, B.; Balbi, S.; Buchmann, C.M.; de Sousa, L.; Dressler, G.; Groeneveld, J.; Klassert, C.J.; Bao Le, Q.; Millington, J.D.A.; Nolzen, H.; Parker, D.C.; Polhill, J.G.; Schluter, M.; Schulze, J.; Schwarz, N.; Sun, Z.; Tailandier, P.; Weise, H. (2014) Standardized and transparent model descriptions for agent-based models - current status and prospects., Environmental Modelling and Software, 55, 156-163.
- Gotts, N.M.; Polhill, J.G.; Craig, T.; Galan-Diaz, C. (2014) Combining diverse data sources for CEDSS, an agent-based model of domestic energy demand., Structure and Dynamics: eJournal of Anthropological and Related Sciences, 7(1).
- Edwards, P.; Pignotti, E.; Mellish, C.; Eckhardt, A.; Ponnamperuma, K.; Bouttaz, T.; Philip, L.; Pangbourne, K.; Polhill, J.G.; Gotts, N.M. (2014) Lessons learnt from the deployment of a semantic virtual research environment., Journal of Web Semantics, 27-28, 70-77.
- Polhill, J.G. Gimona, A.; Gotts, N.M. (2013) Nonlinearities in biodiversity incentive schemes: A study using an integrated agent-based and metacommunity model., Environmental Modelling and Software, 45, 74-91.
- Gimona, A.; Polhill, J.G. (2011) Exploring robustness of biodiversity policy with a coupled metacommunity and agent-based model., Journal of Land Use Science, 6, 175-193.
- Polhill, J.G.; Craig, T.; Alonso-Betanzos, A.; Sanchez-Marono, N.; Fontenla-Romero, O.; Dumitru, A.; Garcia-Mira, R.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Marricchiolo, F.; Fornara, F.; Ilin, C.; Steg, L.; Ruepert, A.; Keizer, K. (2017) Interactions matter. Modelling everyday pro-environmental norm transmission and diffusion in workplace networks., In: Alonso-Betanzos, A., Sanchez-Maro?o, N., Fontenla-Romero, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, J.M. (eds.) Agent-Based Modeling of Sustainable Behaviors. Springer, Cham, Switzerland, Chapter 2, pp27-52.
- Jin, X.B.; Robinson, K.; Lee, A.; Polhill. J.G.; Pritchard, C.; Parker, D.C. (2017) A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., Environmental Modelling and Software, 96, 172-180.
- Gotts, N.M.; Polhill, J. G. (2017) Experiments with a model of domestic energy demand., Journal of Artificial Societies and Social Simulation, 20, Article No. 11.
- Lee, J.-S.; Filatova, T.; Ligmann-Zielinska, A.; Hassani-Mahmooei, B.; Stonedahl, F.; Lorscheid, I.; Voinov, A.; Polhill, J.G.; Sun, Z.; Parker, D.C. (2015) The complexities of agent-based modeling output analysis., Journal of Artificial Societies and Social Simulation, 18, Article No. 4.
- Sanchez-Marono, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Brinquis-Nunez, C.; Polhill, J.G.; Craig, T.; Dumitru, A.; Garcia-Mira, R. (2015) An agent-based model for simulating environmental behavior in an educational organization., Neural Processing Letters, 42, 89-118.
- Polhill, J.G. (2015) Extracting OWL ontologies from agent-based models: a netlogo extension., Journal of Artificial Societies and Social Simulation, 18, Article No. 15.
- Ge, J.; Polhill, G. (2020) Agent-based models of coupled social and natural systems., In: Sang, N. (ed.). Modelling Nature-based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning. Cambridge University Press, Chapter 2, pp56-81.
- Polhill, J.G.; Craig, T.; Alonso-Betanzos, A.; Sanchez-Marono, N.; Fontenla-Romero, O.; Dumitru, A.; Garcia-Mira, R.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Marricchiolo, F.; Fornara, F.; Ilin, C.; Steg, L.; Ruepert, A.; Keizer, K. (2017) Interactions matter. Modelling everyday pro-environmental norm transmission and diffusion in workplace networks., In: Alonso-Betanzos, A., Sanchez-Maro?o, N., Fontenla-Romero, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, J.M. (eds.) Agent-Based Modeling of Sustainable Behaviors. Springer, Cham, Switzerland, Chapter 2, pp27-52.
- Grimm, V.; Polhill, J.G.; Touza, J. (2017) Documenting social simulation models: The ODD protocol as a standard. (Revised), In: Edmonds, B. & Meyer, R. (eds.). Simulating Social Complexity: A Handbook. 2nd edition. Springer, Berlin, pp349-365.
- Polhill, J.G.; Salt, D. (2017) The importance of ontological structure: why validation by `fit-to-data? is insufficient., In: Edmonds, B. & Meyer, R. (eds.) Simulating Social Complexity: A Handbook. 2nd edition. Springer, 141-172.
- Sanchez-Maronon, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Polhill, J.G.; Craig, T. (2017) Empirically-deprived behavioural rules in agent-based models using decision trees learned from questionnaire data., In: Alonso-Betanzos, A., Sanchez-Marono, N., Fontenla-Romera, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, M. (eds.). Agent Based Modelling of Sustainable Behaviors. Springer, Switzerland, Chapter 3, pp53-76.
- Ge, J.; Polhill, J.G. (2017) Preliminary results from an agent-based model of the daily commute in Aberdeen and Aberdeenshire, UK., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., pp129-142.
- Polhill, J.G.; Gotts, N.M. (2017) How precise are the specifications of a psychological theory? Comparing implementations of Lindenberg and Steg's Goal-Framing Theory of everyday pro-environmental behaviour., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 341-354.
- Polhill, J.G.; Milazzo, L.; Dawson, T.; Gimona, A.; Parker, D. (2017) Lessons learned replicating the analysis of outputs from a social simulation of biodiversity incentivisation., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 355-365.
- Sanchez-Maronon, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Polhill, J.G.; Craig, T. (2015) Designing decision trees for representing sustainable behaviours in agents., In: Bajo, J., Hernandez, J.Z., Mathieu, P., Campbell, A., FernandezCaballero, A., Moreno, M.N., Julian, V., AlonsoBetanzos, A., JimenezLopez, M.D. & Botti, V. (eds.). Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability: The PAAMS Collection, Advances in Intelligent Systems and Sustainability, Springer, Berlin, Volume 372, 169-176.
- Grimm, V.; Polhill, J.G.; Touza, J. (2013) Documenting social simulation models: the ODD protocol as a standard., In: Edmonds, B. & Meyer, R. (eds.). Simulating Social Complexity: A Handbook. Springer, Berlin, Part II, pp117-133.
- Gimona, A.; Polhill, J.G.; Davies, B.B. (2011) Sinks, sustainability and conservation incentives., In: Sources, Sinks and Sustainability (eds. Liu, J., Hull, V., Morzillo, A., and Wiens, J). Cambridge University Press, Chapter 8, pp155-178.
- Gotts, N.M.; Polhill, J.G.; Law, A.N.R. (2010) Agent-based simulation in the study of social dilemmas., In: Gilbert, N. (ed.). Computational Social Science. SAGE Benchmarks in Social Research Methods Series, Volume 3. Sage Publications. ISBN-10: 1847871712, ISBN-13: 978-1847871718.
- Polhill, J.G. (2009) Agent-based modelling of socio-economic processes related to the environment: Example of land-use change., In: Baveye, P., Mysiak, J., Laba, M. (eds.). Uncertainties in Environmental Modelling and Consequences for Policy-Making. NATO Science for Peace and Security Series C - Environmental Security, Springer, 61-76. ISBN 978-90-481-2634
- Gotts, N.M.; Polhill, J.G. (2009) Narrative scenarios, mediating formalisms, and the agent-based simulation of land use change., In: Squazzoni, F. (ed.). Epistemological Aspects of Computer Simulation in the Social Sciences, Proceedings from 2nd International Workshop on Epistemological Perspectives on Simulation (EPOS), Brescia, Italy, 4-5 October 2006. Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, 5466, 99-116.
- Pignotti, E.; Edwards, P.; Preece, A.; Gotts, N.M.; Polhill, J.G. (2008) Enhancing workflow with semantic descriptions of scientific intent., In: Goos, G., Hartmanis, J. & van Leeuwen (eds.). The Semantic Web: Research and Applications, 5th European Semantic Web Conference, Tenerife, Spain, 1-5 June 2008. Lecture Notes in Computer Science, 5021, Springer, Berlin, pp644-658.
- Parker, D.C.; Brown, D.G.; Polhill, J.G.; Deadman, P.J.; Manson, S.M. (2008) Ilustrating a new "conceptual design pattern" for agent-based models of land use via five case studies - the MR POTATOHEAD framework., In: Lopez Paredes, A. & Hernandez, I. Agent-Based Modelling in Natural Resource Management. INSISOC, Valladolid, Spain, 23-51
- Polhill, J.G.; Parker, D.C.; Gotts, N.M. (2007) Effects of land markets on competition between innovators and imitators in land use: results from FEARLUS-ELMM., In: Edmonds, B., Hernandez Iglesias, C. & Troitzsch, K.G. Social Simulation: Technologies, Advances and New Discoveries. Information Science Reference, London, Chapter 7, 81-97.
- Polhill, J.G.; Craig, T.; Colley, K.; Ge, J.; Sat, D. (2018) The SMARTEES Project and The James Hutton Institute?s potential contribution to the Torry Heat Network project., Appendix 10.4 in support of Torry Heat Network, Report to be presented to Aberdeen City Council.
- Salt, D.; Polhill, J.G.; Craig, T. (2016) Deliverable 2.2: Report on the ontology generation and data and knowledge integration., Green Lifestyles Alternative Models and Up-scaling Regional Sustainability / GLAMURS EU SSH.2013.2.1-1 Grant Agreement No. 613420.
- Salt, D.; Polhill, J.G.; Craig, T. (2016) Deliverable 2., Report for Glamurs Ontology Project.
- Polhill, J.G.; Craig, T.; Ge, J.; Lorenzo-Arribas, A. (2016) Out-of-range wattage in CurrentCost energy monitor readings., Short Report to CurrentCost.
- Sutherland, L.A.; Gotts, N.M.; Polhill, J.G. (2006) CAVES: Complexity, agents, volatility, evidence and scale., Grampian Region Field Research Report. CAVES EU F6 Project.
- Matthews, R.B.; Gilbert, N.; Roach, A.; Polhill, J.G.; Gotts, N.M.; Izquierdo, L.R. (2005) Development of a rural economy and land use simulation modelling strategy., Final Project Report of RELU Development Activity RES-224-25-0102, Macaulay Institute, Craigiebuckler, Aberdeen AB158QH, UK.