Publications

For information on publications and citations, please see my Google Scholar Citations Page or you could also try the UWA research repository for a reasonably updated list.

If you would like any more information about any of the publications, or have difficulties getting hold of any you want to read, then just send me an email.

A list of publications is also provided below - I'll try to keep it up to date, so it may (or may not) include more recent articles than the Google Scholar and UWA research repository pages.

Peer-reviewed Scientific Publications

 

Journal Articles

                                           

1.       Smith R, Renton M, Reid N. 2017. Growth and carbon sequestration by remnant Eucalyptus camaldulensis woodlands in semi-arid Australia during La Niña conditions. Agricultural and Forest Meteorology 232: 704–710.

2.       Congdon BS, Coutts BA, Renton M, Banovic, M, Jones R, 2016. Pea seed-borne mosaic virus in field pea: widespread infection, genetic diversity and resistance gene effectiveness. Plant Disease. 10.1094/PDIS-05-16-0670-RE

3.       Congdon BS, Coutts BA, Renton M, Jones R. 2016. Pea seed-borne mosaic virus: stability and wind-mediated contact transmission in field pea. Plant Disease.

4.       Congdon BS, Coutts BA, Renton M, Leur JAG van, Jones R a. C. 2016. Seed fractionation as a phytosanitary control measure for Pea seed-borne mosaic virus infection of field pea seed-stocks.European Journal of Plant Pathology: 1–5.

5.       Hamer JJ, Veneklaas EJ, Renton M, Poot P. 2016. Erratum to: Links between soil texture and root architecture of Eucalyptus species may limit distribution ranges under future climates. Plant and Soil: 1–2.

6.       Jordan N, Schut M, Graham S, Barney JN, Childs DZ, Christensen S, Cousens RD, Davis AS, Eizenberg H, Ervin DE, Fernandez-Quintanilla C, Harrison LJ, Harsch MA, Heijting S, Liebman M, Loddo D, Mirsky SB, Riemens M, Neve P, Peltzer DA, Renton M, Williams M, Recasens, J, Sønderskov M. 2016. Transdisciplinary weed research: new leverage on challenging weed problems? Weed Research 10.1111/wre.12219

7.       Liebman M, Baraibar B, Buckley Y, Childs D, Christensen S, Cousens R, Eizenberg H, Heijting S, Loddo D, Merotto Jr A, Renton M, Riemens M. 2016. Ecologically sustainable weed management: How do we get from proof-of-concept to adoption? Ecological Applications. doi: 10.1002/15-0995

8.       Renton M, Chauhan BS. Modelling crop-weed competition: Why, what, how and what lies ahead?Crop Protection.

9.       Cross AT, Turner SR, Merritt DJ, van Niekerk A, Renton M, Dixon KW, Mucina L. 2015. Vegetation patterns and hydro-geological drivers of freshwater rock pool communities in the monsoon-tropical Kimberley region, Western Australia. Journal of Vegetation Science. 26: 1184-1197

10.    Cross AT, Turner SR, Renton M, Baskin JM, Dixon KW, Merritt DJ. 2015. Seed dormancy and persistent sediment seed banks of ephemeral freshwater rock pools in the Australian monsoon tropics. Annals of Botany 115: 847-59.

11.    Hamer JJ, Veneklaas EJ, Poot P, Mokany K, Renton M. 2015. Shallow environmental gradients put inland species at risk: insights and implications from predicting future distributions of Eucalyptus species in South Western Australia. Austral Ecology. 40:923-32.

12.    Hamer JJ, Veneklaas EJ, Renton M, Poot P. 2015. Links between soil texture and root architecture of Eucalyptus species may limit distribution ranges under future climates. Plant and Soil 1-13.

13.    Lambers H, Martinoia E, Renton M. 2015. Plant adaptations to severely phosphorus-impoverished soils. Current Opinion in Plant Biology 25: 23–31.

14.    Lawes R, Renton M. 2015. Gaining insight into the risks, returns and value of perfect knowledge for crop sequences by comparing optimal sequences with those proposed by agronomists. Crop and Pasture Science 66: 622–633.

15.    Long RL, Gorecki MJ, Renton M, Scott JK, Colville L, Goggin DE, Commander LE, Westcott DA, Cherry H, Finch-Savage WE. 2015. The ecophysiology of seed persistence: a mechanistic view of the journey to germination or demise. Biological Reviews 90: 31–59.

16.    Renton M, Lawes R, Metcalf T, Robertson M. 2015. Considering long-term ecological effects on future land-use options when making tactical break-crop decisions in cropping systems. Crop and Pasture Science 66: 610–621.

17.    Renton M, Flower K. 2015. Occasional mouldboard ploughing slows evolution of resistance and reduces long-term weed populations in no-till systems. Agricultural Systems 139: 66-75.

18.    Shackelford N, Renton M, Perring MP, Brooks K, Hobbs RJ. 2015. Biodiversity change in heathland and its relationships with shifting local fire regimes and native species expansion. Journal of Plant Ecology 8: 17–29.

19.    Vincent B, Barrett S, Cochrane J, Renton M, Plummer J. 2015. Conservation biology of two endemic Beyeria species (Euphorbiaceae) from southern Western Australia. Australian Journal of Botany 63: 484-96.

20.    Cross AT, Cawthray GR, Merritt DJ, Turner SR, Renton M, Dixon KW. 2014. Biogenic ethylene promotes seedling emergence from the sediment seed bank in an ephemeral tropical rock pool habitat. Plant and Soil 380: 73–87.

21.    Gagliano M, Renton M, Depczynski M, Mancuso S. 2014. Experience teaches plants to learn faster and forget slower in environments where it matters. Oecologia 175: 63–72.

22.    Neve P, Busi R, Renton M, Vila-Aiub MM. 2014. Expanding the eco-evolutionary context of herbicide resistance research. Pest Management Science 70: 1385–1393.

23.    Renton M, Busi R, Neve P, Thornby D, Vila-Aiub M. 2014. Herbicide resistance modelling: past, present and future. Pest Management Science 70: 1394–1404.

24.    Renton M, Poot P. 2014. Simulation of the evolution of root water foraging strategies in dry and shallow soils. Annals of Botany 114: 763–778.

25.    Renton M, Shackelford N, Standish RJ. 2014. How will climate variability interact with long-term climate change to affect the persistence of plant species in fragmented landscapes? Environmental Conservation 41: 110–121.

26.    Savage D, Borger CP, Renton M. 2014. Orientation and speed of wind gusts causing abscission of wind-dispersed seeds influences dispersal distance. Functional Ecology 28: 973–981.

27.    Savage D, Renton M. 2014. Requirements, design and implementation of a general model of biological invasion. Ecological Modelling 272: 394–409.

28.    Suriyagoda LD, Ryan MH, Renton M, Lambers H. 2014. Plant responses to limited moisture and phosphorus availability–a meta-analysis. Adv Agron 124: 143–200.

29.    Bennett JC, Diggle A, Evans F, Renton M. 2013. Assessing eradication strategies for rain-splashed and wind-dispersed crop diseases. Pest Management Science 69: 955–963.

30.    Busi R, Vila-Aiub MM, Beckie HJ, Gaines TA, Goggin DE, Kaundun SS, Lacoste M, Neve P, Nissen SJ, Norsworthy JK, Renton M, Shaner DL, Tranel PJ, Wright T, Yu Q, Powles SB. 2013. Herbicide-resistant weeds: from research and knowledge to future needs. Evolutionary Applications 6: 1218–1221.

31.    Commander LE, Rokich DP, Renton M, Dixon KW, Merritt DJ. 2013. Optimising seed broadcasting and greenstock planting for restoration in the Australian arid zone. Journal of Arid Environments 88: 226–235.

32.    Ramankutty P, Ryan M, Lawes R, Speijers J, Renton M. 2013. Statistical emulators of a plant growth simulation model. Climate Research 55: 253–265.

33.    Renton M. 2013a. Shifting focus from the population to the individual as a way forward in understanding, predicting and managing the complexities of evolution of resistance to pesticides: Focus on the individual to understand the complexities of pesticide resistance evolution. Pest Management Science 69: 171–175.

34.    Renton M. 2013b. Aristotle and adding an evolutionary perspective to models of plant architecture in changing environments. Frontiers in Plant Science 4. doi:  10.3389/fpls.2013.00284

35.    Renton M, Childs S, Standish R, Shackelford N. 2013. Plant migration and persistence under climate change in fragmented landscapes: Does it depend on the key point of vulnerability within the lifecycle? Ecological Modelling 249: 50–58.

36.    Ruthrof KX, Renton M, Dixon K. 2013. Overcoming restoration thresholds and increasing revegetation success for a range of canopy species in a degraded urban Mediterranean-type woodland ecosystem. Australian Journal of Botany 61: 139–147.

37.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU, Renton M. 2013. Temporal patterns of Ascospore release in Leptosphaeria maculans vary depending on geographic region and time of observation. Microbial Ecology 65: 584–592.

38.    Shackelford N, Renton M, Perring MP, Hobbs RJ. 2013. Modeling disturbance-based native invasive species control and its implications for management. Ecological Applications 23: 1331–1344.

39.    Shi M, Collins PJ, Ridsdill-Smith TJ, Emery RN, Renton M. 2013. Dosage consistency is the key factor in avoiding evolution of resistance to phosphine and population increase in stored-grain pests. Pest Management Science 69: 1049–1060.

40.    Shi M, Renton M. 2013. Modelling mortality of a stored grain insect pest with fumigation: Probit, logistic or Cauchy model? Mathematical Biosciences 243: 137–146.

41.    Suriyagoda LD, Real D, Renton M, Lambers H, Ryan MH. 2013. Establishment, survival, and herbage production of novel, summer-active perennial pasture legumes in the low-rainfall cropping zone of Western Australia as affected by plant density and cutting frequency. Crop and Pasture Science 64: 71–85.

42.    Gagliano M, Renton M. 2013. Love thy neighbour: Facilitation through an alternative signalling modality in plants. BMC Ecology 13: art. 19.

43.    Wheeler R, Nevill PG, Renton M, Krauss SL. 2013. Interspecific hybridisation in tuart (Eucalyptus gomphocephala, Myrtaceae): a conservation management issue? Australian Journal of Botany 61: 455–464.

44.    Bennett RG, Colmer TD, Real D, Renton M, Ryan MH. 2012. Phenotypic variation for productivity and drought tolerance is widespread in germplasm collections of Australian Cullen species. Crop and Pasture Science 63: 656–671.

45.    Borger CPD, Michael PJ, Mandel R, Hashem A, Bowran D, Renton M. 2012. Linking field and farmer surveys to determine the most important changes to weed incidence. Weed Research 52: 564–574.

46.    Borger Catherine P. D., Renton M, Riethmuller G, Hashem A. 2012. The impact of seed head age and orientation on seed release thresholds. Functional Ecology 26: 837–843.

47.    Gagliano M, Renton M, Duvdevani N, Timmins M, Mancuso S. 2012a. Out of sight but not out of mind: alternative means of communication in plants. PLoS ONE 7: e37382.

48.    Gagliano M, Renton M, Duvdevani N, Timmins M, Mancuso S. 2012b. Acoustic and magnetic communication in plants: Is it possible? Plant Signaling & Behavior 7: 1346–1348.

49.    Manalil S, Busi R, Renton M, Powles SB. 2012. An herbicide-susceptible rigid ryegrass (Lolium rigidum) population made even more susceptible. Weed Science 60: 101–105.

50.    Manalil S, Renton M, Diggle A, Busi R, Powles SB. 2012. Simulation modelling identifies polygenic basis of herbicide resistance in a weed population and predicts rapid evolution of herbicide resistance at low herbicide rates. Crop Protection 40: 114–120.

51.    Renton M, Hanan J, Ferguson BJ, Beveridge CA. 2012. Models of long-distance transport: how is carrier-dependent auxin transport regulated in the stem? New Phytologist 194: 704–715.

52.    Renton M, Shackelford N, Standish RJ. 2012. Habitat restoration will help some functional plant types persist under climate change in fragmented landscapes. Global Change Biology 18: 2057–2070.

53.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU, Renton M. 2012a. Mobile traps are better than stationary traps for surveillance of airborne fungal spores. Crop Protection 36: 23–30.

54.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU, Renton M. 2012b. Seasonal and diurnal patterns of spore release can significantly affect the proportion of spores expected to undergo long-distance dispersal. Microbial Ecology 63: 578–585.

55.    Shi M, Collins PJ, Ridsdill-Smith J, Renton M. 2012. Individual-based modelling of the efficacy of fumigation tactics to control lesser grain borer (Rhyzopertha dominica) in stored grain. Journal of Stored Products Research 51: 23–32.

56.    Shi M, Renton M, Ridsdill-Smith J, Collins P. 2012. Constructing a new individual-based model of phosphine resistance in lesser grain borer (Rhyzopertha dominica): do we need to include two loci rather than one? Journal of Pest Science 85: 451–468.

57.    Suriyagoda L, Lambers H, Renton M, Ryan M. 2012. Growth, carboxylate exudates and nutrient dynamics in three herbaceous perennial plant species under low, moderate and high phosphorus supply. Plant and Soil 358: 105–117.

58.    Suriyagoda L. D. B., Ryan MH, Lambers H, Renton M. 2012. Comparison of novel and standard methods for analysing patterns of plant death in designed field experiments. The Journal of Agricultural Science 150: 319–334.

59.    Suriyagoda Lalith D. B., Ryan MH, Renton M, Lambers H. 2012. Adaptive shoot and root responses collectively enhance growth at optimum temperature and limited phosphorus supply of three herbaceous legume species. Annals of Botany 110: 959–968.

60.    Conning SA, Renton M, Ryan MH, Nichols PGH. 2011. Biserrula and subterranean clover can co-exist during the vegetative phase but are out-competed by capeweed. Crop and Pasture Science 62: 236–247.

61.    Manalil S, Busi R, Renton M, Powles SB. 2011. Rapid evolution of herbicide resistance by low herbicide dosages. Weed Science 59: 210–217.

62.    Owen MJ, Michael PJ, Renton M, Steadman KJ, Powles SB. 2011a. Towards large-scale prediction of Lolium rigidum emergence. I. Can climate be used to predict dormancy parameters? Weed Research 51: 123–132.

63.    Owen MJ, Michael PJ, Renton M, Steadman KJ, Powles SB. 2011b. Towards large-scale prediction of Lolium rigidum emergence. II. Correlation between dormancy and herbicide resistance levels suggests an impact of cropping systems. Weed Research 51: 133–141.

64.    Renton M. 2011. How much detail and accuracy is required in plant growth sub-models to address questions about optimal management strategies in agricultural systems? AoB Plants 2011. doi: 10.1093/aobpla/plr006

65.    Renton M, Airey M, Cambridge ML, Kendrick GA. 2011. Modelling seagrass growth and development to evaluate transplanting strategies for restoration. Annals of Botany 108: 1213–1223.

66.    Renton M, Diggle A, Manalil S, Powles S. 2011. Does cutting herbicide rates threaten the sustainability of weed management in cropping systems? Journal of Theoretical Biology 283: 14–27.

67.    Renton M, Poorter H. 2011. Using log–log scaling slope analysis for determining the contributions to variability in biological variables such as leaf mass per area: why it works, when it works and how it can be extended. New Phytologist 190: 5–8.

68.    Rusack EM, Dortch J, Hayward K, Renton M, Boer M, Grierson P. 2011. The role of habitus in the maintenance of traditional Noongar plant knowledge in southwest Western Australia. Human Ecology 39: 673–682.

69.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU, Renton M. 2011. Can mechanistically parameterised, anisotropic dispersal kernels provide a reliable estimate of wind-assisted dispersal? Ecological Modelling 222: 1673–1682.

70.    Savage D, Barbetti MJ, Macleod W, Salam M, Renton M. 2011. Seasonal and diurnal patterns of release affect the probability of long-distance wind-assisted dispersal. Microbial Ecology, 63:578-585.

71.    Shi M, Renton M. 2011. Numerical algorithms for estimation and calculation of parameters in modeling pest population dynamics and evolution of resistance. Mathematical Biosciences 233: 77–89.

72.    Suriyagoda LDB, Ryan MH, Renton M, Lambers H. 2011. Above- and below-ground interactions of grass and pasture legume species when grown together under drought and low phosphorus availability. Plant and Soil 348: 281–297.

73.    Garg H, Atri C, Sandhu PS, Kaur B, Renton M, Banga SK, Singh H, Singh C, Barbetti MJ, Banga SS. 2010. High level of resistance to Sclerotinia sclerotiorum in introgression lines derived from hybridization between wild crucifers and the crop Brassica species B. napus and B. juncea. Field Crops Research 117: 51–58.

74.    Hassiotou F, Renton M, Ludwig M, Evans JR, Veneklaas EJ. 2010. Photosynthesis at an extreme end of the leaf trait spectrum: how does it relate to high leaf dry mass per area and associated structural parameters? Journal of Experimental Botany 61: 3015–3028.

75.    Lawes R, Renton M. 2010. The Land Use Sequence Optimiser (LUSO): A theoretical framework for analysing crop sequences in response to nitrogen, disease and weed populations. Crop and Pasture Science 61: 835–843.

76.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU, Renton M. 2010. Timing of propagule release significantly alters the deposition area of resulting aerial dispersal. Diversity and Distributions 16: 288–299.

77.    Suriyagoda L D B., Lambers H, Ryan MH, Renton M. 2010. Effects of leaf development and phosphorus supply on the photosynthetic characteristics of perennial legume species with pasture potential: modelling photosynthesis with leaf development. Functional Plant Biology 37: 713–725.

78.    Suriyagoda L D B, Lambers H, Ryan MH, Renton M. 2010. From controlled environments to field simulations: Developing a growth model for the novel perennial pasture legume Cullen australasicum. Agricultural and Forest Meteorology 150: 1373–1382.

79.    Suriyagoda L D B, Ryan MH, Renton M, Lambers H. 2010. Multiple adaptive responses of Australian native perennial legumes with pasture potential to grow in phosphorus- and moisture-limited environments. Ann Bot 105: 755–767.

80.    Borger CPD, Scott JK, Renton M, Walsh M, Powles S. 2009. Assessment of management options for Salsola australis in south-west Australia by transition matrix modelling. Weed Research 49: 400–408.

81.    Hassiotou F, Ludwig M, Renton M, Veneklaas EJ, Evans JR. 2009. Influence of leaf dry mass per area, CO2, and irradiance on mesophyll conductance in sclerophylls. Journal of Experimental Botany. 60: 2303–2314.

82.    Turner S, Merritt D, Renton M, Dixon K. 2009. Seed moisture content affects after ripening and smoke responsiveness in three sympatric Australian native species from fire-prone environments. Austral Ecology 34: 866–877.

83.    Costes E, Smith C, Renton M, Guédon Y, Prusinkiewicz P, Godin C. 2008. MAppleT: simulation of apple tree development using mixed stochastic and biomechanical models. Functional Plant Biology 35: 936–950.

84.    Renton M, Guédon Y, Godin C, Costes E. 2006. Similarities and gradients in growth unit branching patterns during ontogeny in “Fuji” apple trees: a stochastic approach. Journal of Experimental Botany 57: 3131 –3143.

85.    Renton M, Costes E, Guédon Y, Godin C. 2006. Integrating Markov chain models and L-systems to simulate the architectural development of apple trees. Acta Horticulturae 707: 63-70.

86.    Renton M, Hanan J, Burrage K. 2005. Using the canonical modelling approach to simplify the simulation of function in functional–structural plant models. New Phytologist 166: 845–857.

87.    Renton M, Kaitaniemi P, Hanan J. 2005. Functional–structural plant modelling using a combination of architectural analysis, L-systems and a canonical model of function. Ecological Modelling 184: 277–298.

88.    Renton M, Costes E, Guédon Y, Godin C. 2004. Integrating Markov chain models and L-systems to simulate the architectural development of apple trees. Acta Horticulturae (ISHS) 707: 63–70.

89.    Thornby D, Renton M, Hanan J. 2003. Using Computational Plant Science Tools to Investigate Morphological Aspects of Compensatory Growth. Lecture Notes in Computer Science. 2600: 708-717.

90.    Glass K, Renton M, Judd K, Mees A. 1995. Creating periodic orbits in chaotic systems. Physics Letters A 203: 107–114.

 

Refereed Scholarly Book Chapters

 

1.       Renton M, Savage D. 2015. Statistical emulators of simulation models to inform response to new biological invasions. In: Jarrad F, Low-Choy S, Mengersen K. eds. Biosecurity Surveillance: Quantitative Approaches. CABI, UK. 296-313.

2.       Renton M, Thornby D, Hanan J. 2007. Canonical modelling: An approach for intermediate-level simulation of carbon allocation in functional-structural plant models. In: Vos J, Marcelis L, Visser P, Struik J, eds. Functional-Structural Plant Modelling in Crop Production. Wageningen University, The Netherlands: Frontis/Springer, 151–164.

3.       Glass K, Renton M, Judd K, Mees A. 1997. Creating and targeting periodic orbits. In: Judd K, Mees A, Teo L, Vincent TL, eds. Control and Chaos. Boston: Birkhauser, 183–196.

 

Refereed Conference Proceedings

 

1.       Kragt M, Hay E, Renton M. 2016. Supporting wildlife conservation by modelling the effectiveness of community-led poacher mitigation. International Congress on Environmental Modelling and Software.

2.       Crete R, Renton M. 2015. A new model to investigate whether regional crop rotation strategies can protect crops from fungal pathogens. In: Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2015, pp. 490–496. ISBN: 978-0-9872143-5-5. http://mssanz.org.au/modsim2015/B4/crete.pdf

3.       Somerville GJ, Renton M. 2015. Does adding a spatial component to a herbicide resistance population model improve understanding and predictions of the buildup of herbicide resistance over time? In: Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2015, pp. 490–496. ISBN: 978-0-9872143-5-5. http://mssanz.org.au/modsim2015/B4/somerville.pdf

4.       Triska MD, Renton M. 2015. A general model to simulate how an invading organism's dispersal characteristics influence its spread, and the implications for surveillance strategies. In: Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2015, 490–496. ISBN: 978-0-9872143-5-5 http://mssanz.org.au/modsim2015/F3/triska.pdf

5.       Renton M. 2015. Modelling as a tool to help understand, predict and manage weeds. In: A.N. Rao and N.T. Yaduraju. Vol 1. Proceedings of the Plenary and Lead Papers of the 25th Asian-Pacific Weed Science Society Conference, Hyderbad, India.

6.       Congdon B, Coutts B, Renton M, Jones RAC. 2015. Developing a forecasting model and Decision Support System for Pea seedborne mosaic virus epidemics in field pea crops. Proceedings of the 2015 WA Agribusiness Crop Updates. Perth, Australia: DAFWA.

7.       Renton M, Poot P. 2013. Simulating the evolution of optimal rooting strategies in shallow soils and extreme climates. In: Sievänen R, Nikinmaa E, Godin C, Lintunen A, Nygren P, eds. Proceedings of the 7th International Conference on Functional-Structural Plant Models, Saariselkä, Finland, 9 - 14 June 2013. Saariselkä, Finland, 195–197.

8.       Childs S, Borger CPD, Michael PJ, Hashem A, Renton M. 2013. Understanding how weed species, diversity and communities vary with weather, climate, soil, land use and time in southwest Western Australia. Proceedings of 24th Asian-Pacific Weeds Science Society Conference, Bandung, Indonesia. Bandung, Indonesia: Asian-Pacific Weed Science Society, 527–529.

9.       Renton M. 2013. Simulation modelling can help understand and predict how management, weed biology and genetics affect the evolution of resistance. Proceedings of 24th Asian-Pacific Weeds Science Society Conference, Bandung, Indonesia. Bandung, Indonesia: Asian-Pacific Weed Science Society, 258–265.

10.    Peltzer S, Douglas A, Diggle AJ, George W, Renton M. 2012. The Weed Seed Wizard: have we got a solution for you! In: Eldershaw V. (ed.) Proceedings of the 18th Australasian Weeds Conference. Melbourne: Weed Society of Victoria, 99–102.

11.    Renton M, Flower K, Busi R, Thornby D, Airey M, Manalil S, Diggle AJ, Powles S. 2012. Modelling the effects of ecology, management and genetics on the evolution of herbicide resistance with PERTH. In: Eldershaw V. (ed.) Proceedings of the 18th Australasian Weeds Conference. Melbourne: Weed Society of Victoria, 275–278.

12.    Renton M, Poot P, Evers JB. 2012. Simulation of optimal rooting strategies: what’s the best way to find a wet crack? Proceedings of the Fourth International Symposium on Plant Growth Modeling and Applications (PMA12). Shanghai: IEEE Computer Society, 316–323.

13.    Shi M, Renton M. 2012a. An individual-based two-locus modelling of pest control in a spatial heterogeneous storage facility with pest immigration. Proc 9th. Int. Conf. on Controlled Atmosphere and Fumigation in Stored Products. Antalya, Turkey: ARBER Professional Conference Services, 638–643.

14.    Shi M, Renton M. 2012b. Phosphine Mortality Estimation for Simulation of Controlling Pest of Stored Grain: Lesser Grain Borer (Rhyzopertha dominica). Proceedings of ICCCISE 2012 : International Conference on Computer, Communication and Information Sciences, and Engineering. Zurich: World Academy of Science, Engineering and Technology, 113–116.

15.    Bennett JC, Diggle A, Evans F, Renton M. 2011. Towards measures of the eradicability of rain-splashed crop diseases. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 2486–2492.

16.    Chopard J, Bader M, Veneklaas EJ, Renton M. 2011. Impact of a tree’s hydraulic strategy on its survival in a global climate change context. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 781–787.

17.    Dunbabin VM, Airey M, Diggle AJ, Renton M, Rengel Z, Armstrong R, Chen Y, Siddique KHM. 2011. Simulating the interaction between plant roots, soil water and nutrient flows, and barriers and objects in soil using ROOTMAP. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 975–981.

18.    Renton M. 2011. Function, form, environment and ecological interactions: what’s the right way to model a plant? In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 1002–1008.

19.    Renton Michael. 2011. RIM, LUSO, PERTH and the Wizard: A complementary family of models for supporting weed management decisions in cropping systems. 23rd Asian-Pacific Weed Science Society Conference. Volume 1: weed management in a changing world, Cairns, Queensland, Australia, 26-29 September 2011.454–460.

20.    Renton M, Savage D, Chopard J. 2011. A general spatially-explicit model to inform rapid response to new biological invasions: why do we need one and what should it look like? In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 2268–2274.

21.    Renton M, Shackelford N, Standish R. 2011. Dynamic modelling to predict the likelihood of plant species persisting in fragmented landscapes in the face of climate change. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 2268–2274.

22.    Savage D, Barbetti MJ, MacLeod WJ, Salam MU. 2011. Modelling the effects of release timing on the wind-assisted dispersal of passive propagules. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 2556–2562.

23.    Shackelford Nancy, Renton M, Perring M, Brooks K, Hobbs R. 2011. Modeling Invasion by Allocasuarina Huegeliana in Kwongan Heathland and its Management Implications. 23rd Asian-Pacific Weed Science Society Conference. Volume 1: weed management in a changing world, Cairns, Queensland, Australia, 26-29 September 2011.504–509.

24.    Shackelford N., Renton M, Perring MP, Hobbs RJ. 2011. Management implications of modeling invasion by Allocasuarina huegeliana in kwongan heathland. In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 2563–2569.

25.    Shi M, Renton M, Collins PJ. 2011. Mortality estimation for individual-based simulations of phosphine resistance in lesser grain borer (Rhyzopertha dominica). In: Chan F, Marinova D, Anderssen RS, eds. MODSIM2011, 19th International Congress on Modelling and Simulation. Perth, Australia: MSSANZ, 352–358.

26.    Renton M, Airey M, Cambridge M, Kendrick GA. 2010. Modelling seagrass growth in order to optimise transplanting strategies. 6th International Workshop on Functional-Structural Plant Models. Davis, California,

27.    Evers JB, Huth NI, Renton M. 2009. Light Extinction in Spring Wheat Canopies in Relation to Crop Configuration and Solar Angle. Plant Growth Modeling and Applications, International Symposium on. Los Alamitos, CA, USA: IEEE Computer Society, 107–110.

28.    Renton M. 2009. The weeds fight back: Individual-based simulation of evolution of polygenic resistance to herbicides. In: Anderssen RS, Braddock RD, Newham LTH, eds. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia: MSSANZ and IMACS, 574–580.

29.    Renton Michael. 2009. What is the Appropriate Level of Detail for Modelling Agro-Ecological Processes in a Land-Use Optimisation Model? International Symposium on Plant Growth Modeling and Applications. Beijing, China: IEEE Computer Society, 157–160.

30.    Renton M, Lawes RA. 2009. Land-Use Sequence Optimiser (LUSO): A simulation model for analysing strategic and tactical decisions regarding “break crops” in agricultural rotations. In: Anderssen RS, Braddock RD, Newham LTH, eds. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia: MSSANZ and IMACS, 581–587.

31.    Suriyagoda LDB, Ryan M, Real D, Lambers H, Renton M. 2009. An integrated approach to model the establishment, water use and growth of new perennial pasture species. In: Anderssen RS, Braddock RD, Newham LTH, eds. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia: MSSANZ and IMACS, 602–608.

32.    Renton M, Diggle A, Peltzer S. 2008. Understanding, predicting and managing weed seedbanks in agricultural systems with the Weed Seed Wizard. 16th Australian Weeds Conference. Proceedings of the 16th Australian Weeds Conference. Cairns, Queensland, Australia, 77–79.

33.    Renton M, Diggle AJ, Powles SB. 2008. Individual-based Modeling Shows that Low Herbicide Application Rates Can Lead To Faster Development of Resistance. Proceedings of the 5th International Weed Science Congress (IWSC). Vancouver, Canada, 266.

34.    Renton M, Diggle A, Powles S. 2008. Low herbicide rates can lead to faster development of herbicide resistance. 16th Australian Weeds Conference. Cairns, Queensland, Australia, 215–217.

35.    Renton M, Peltzer S, Diggle AJ. 2007. Winning the weed war with the weed seedbank wizard. Agribusiness Crop Updates. Perth, Australia.

36.    Renton M, Peltzer S, Diggle AJ. 2006. Help the wizard stop the green invaders! Agribusiness Crop Updates. Perth, Australia.

37.    Renton M, Peltzer S, Diggle A. 2006. Using the Weed Seed Wizard to Understand and Manage the Weed Seedbank. In: Turner N, Acuna T, eds. Ground Breaking Stuff: Proceedings of 13th Australian Society of Agronomy Conference. Perth, Australia: Australian Society of Agronomy.

38.    Morris S, Ross T, Cox M, Renton M, Hanan J, Beveridge CA. 2004. Auxin comes too little too late. 18th International Conference on Plant Growth Substances. IPGSA. Canberra, 102–102.

39.    Hanan J, Renton M, Yorston E. 2003. Simulating and visualising spray deposition on plant canopies. GRAPHITE ’03. Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia. New York, NY, USA: ACM, 259–260.

40.    Renton M, Hanan J, Kaitaniemi P. 2003. The inside story: including physiology in structural plant models. GRAPHITE ’03. Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia. New York, NY, USA: ACM, 95.

 

 

Other

 

1.       Price CA, Drake P, Veneklaas EJ, Renton M. 2015. Flow similarity, stochastic branching, and quarter power scaling in plants. arXiv preprint arXiv:1507.07820

Scheufele G, Bennett J, Kragt, M, Renton M. 2014. Development of a ‘Virtual’ PES Scheme for the Nam Ngum River Basin. Research Report 3. Effective Implementation of Payments for Environmental Services in Lao PDR. Canberra, AU: Crawford School of Public Policy, Australia National University.

 

Technical Reports

          A technical report "Investigation of a complex simulation model of plant growth. Sensitivity analysis reveals simple meteorological trends" that provides background for the Climate Research article by Ramankutty et al. entitled "Statistical emulators of a plant growth simulation model" is available for download here.
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