Alice Milne

Name	Alice Milne
Job title	Senior Research Scientist - Agricultural Systems Modeller
Email address	alice.milne@rothamsted.ac.uk
Department	Sustainable Agriculture Sciences Harpenden
Research cluster	SAS-H: Systems Modelling
ORCID	https://orcid.org/0000-0002-4509-0578
Preferred citation	Milne, A. E.
Office	Harpenden

View profile

Research outputs

Maximizing realized yield by breeding for disease tolerance: A case study for Septoria tritici blotch

Van Den Bosch, F., Smith, J., Wright, P., Milne, A. E., Van Den Berg, F., Kock-Appelgren, P., Foulkes, J. and Paveley, N. 2021. Maximizing realized yield by breeding for disease tolerance: A case study for Septoria tritici blotch. Plant Pathology. https://doi.org/10.1111/ppa.13509

Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale

Breure, T. S., Prout, J. M., Haefele, S. M., Milne, A. E., Hannam, J. A., Moreno-Rojas, S. and Corstanje, R. 2022. Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale. Soil & Tillage Research. 215, p. 105196. https://doi.org/10.1016/j.still.2021.105196

Modelling in cassava production and pest management under biotic and abiotic constraints

Alonso Chavez, V., Milne, A. E., Van Den Bosch, F., Pita, J. and Mcquaid, C. F. 2021. Modelling in cassava production and pest management under biotic and abiotic constraints. Plant Molecular Biology. https://doi.org/10.1007/s11103-021-01170-8

Simulating cropping sequences using earth observation data

Sharp, R. T., Henrys, P. A., Jarvis, S. G., Whitmore, A. P., Milne, A. E., Coleman, K., Mohankumar, S. E. P. and Metcalfe, H. 2021. Simulating cropping sequences using earth observation data. Computers and Electronics in Agriculture. 188, p. 106330. https://doi.org/10.1016/j.compag.2021.106330

A case study on the effects of data temporal resolution on the simulation of water flux extremes using a process-based model at the grassland field scale

Wu, L., Curceac, S., Atkinson, Peter, Milne, A. E. and Harris, P. 2021. A case study on the effects of data temporal resolution on the simulation of water flux extremes using a process-based model at the grassland field scale. Agricultural Water Management. 255, p. 107049. https://doi.org/10.1016/j.agwat.2021.107049

The nutritional quality of cereals varies geospatially in Ethiopia and Malawi

Gashu, D., Nalivata, P. C., Amede, T., Ander, E. L., Bailey, E. H., Botoman, L., Chagumaira, C., Gameda, S., Haefele, S. M., Hailu, K., Joy, E. J. M., Kalimbira, A. A., Kumssa, D. B., Lark, R. M., Ligowe, I. S., McGrath, S. P., Milne, A. E., Mossa, A. W., Munthali, M., Towett, E. K., Walsh, M. G., Wilson, L., Young, S. D. and Broadley, M. R. 2021. The nutritional quality of cereals varies geospatially in Ethiopia and Malawi. Nature. 594, pp. 71-76. https://doi.org/10.1038/s41586-021-03559-3

Elucidating the performance of hybrid models for predicting extreme water flow events through variography and wavelet analyses

Curceac, S., Milne, A. E., Atkinson, P. M., Wu, L. and Harris, P. 2021. Elucidating the performance of hybrid models for predicting extreme water flow events through variography and wavelet analyses. Journal of Hydrology. 598 (July), p. 126442. https://doi.org/10.1016/j.jhydrol.2021.126442

Defining Integrated Weed Management: A Novel Conceptual Framework for Models

Storkey, J., Helps, J., Hull, R. I., Milne, A. E. and Metcalfe, H. 2021. Defining Integrated Weed Management: A Novel Conceptual Framework for Models. Agronomy. 11 (4), p. 747. https://doi.org/10.3390/agronomy11040747

The potential for soybean to diversify the production of plant-based protein in the UK

Coleman, K., Whitmore, A. P., Hassall, K. L., Shield, I. F., Semenov, M. A., Dobermann, A., Bourhis, Y., Eskandary, A. and Milne, A. E. 2021. The potential for soybean to diversify the production of plant-based protein in the UK. Science of the Total Environment. 767, p. 144903. https://doi.org/10.1016/j.scitotenv.2020.144903

Artificial neural networks for monitoring network optimisation—a practical example using a national insect survey

Bourhis, Y., Bell, J. R., Van Den Bosch, F. and Milne, A. E. 2021. Artificial neural networks for monitoring network optimisation—a practical example using a national insect survey. Environmental Modelling and Software. 135, p. 104925. https://doi.org/10.1016/j.envsoft.2020.104925

Model-based optimisation of agricultural profitability and nutrient management: a practical approach for dealing with issues of scale

Milne, A. E., Coleman, K., Todman, L. C. and Whitmore, A. P. 2020. Model-based optimisation of agricultural profitability and nutrient management: a practical approach for dealing with issues of scale. Environmental Monitoring And Assessment. 192, p. 730. https://doi.org/10.1007/s10661-020-08699-z

Adjusting for conditional bias in process model simulations of hydrological extremes: an experiment using the North Wyke Farm Platform

Curceac, S., Atkinson, P. M., Milne, A. E., Wu, L. and Harris, P. 2020. Adjusting for conditional bias in process model simulations of hydrological extremes: an experiment using the North Wyke Farm Platform. Frontiers in Artificial Intelligence. 3 (82). https://doi.org/10.3389/frai.2020.565859

Using Functional Traits to Model Annual Plant Community Dynamics

Metcalfe, H., Milne, A. E., Deledalle, F. and Storkey, J. 2020. Using Functional Traits to Model Annual Plant Community Dynamics. Ecology. 101 (11), p. e03167. https://doi.org/10.1002/ecy.3167

Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management

Breure, T. S., Milne, A. E., Webster, R., Haefele, S. M., Hannam, J. A., Moreno-Rojas, S. and Corstanje, R. 2021. Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management. Precision Agriculture. 22, p. 226–248. https://doi.org/10.1007/s11119-020-09739-x

Above- and below-ground assessment of carabid community responses to crop type and tillage

Jowett, K., Milne, A. E., Garrett, D., Potts, S. G., Senapathi, D. and Storkey, J. 2020. Above- and below-ground assessment of carabid community responses to crop type and tillage. Agricultural and Forest Entomology. https://doi.org/10.1111/afe.12397

Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia

Milne, A. E., Gashu, D., Lark, R. M., Ameded, T., Bailey, E. H., Chagumaira, C., Dunham, S. J., Gameda, S., Kumssa, D. B., Mossa, A. W., Walsh, M. G., Wilson, L., Young, S. D., Ander, E. L., Joy, M. R. B. ., McGrath, S. P. and Broadley, M. 2020. Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia. Science of the Total Environment. 733, p. 139231. https://doi.org/10.1016/j.scitotenv.2020.139231

UK aphid migration percentiles, covariates and model outputs from the Rothamsted Insect Survey's 12.2 m suction-trap network: 1965 to 2018

Bourhis, Y., Bell, J. R., Van Den Bosch, F. and Milne, A. E. 2020. UK aphid migration percentiles, covariates and model outputs from the Rothamsted Insect Survey's 12.2 m suction-trap network: 1965 to 2018. Rothamsted Research. https://doi.org/10.23637/rothamsted.979yv

Spatial and Temporal Stability of Weed Patches in Cereal Fields under Direct Drilling and Harrow Tillage

Izquierdo, J., Milne, A. E., Recasens, J., Royo-Esnal, A., Torra, J., Webster, R. and Baraibar, B. 2020. Spatial and Temporal Stability of Weed Patches in Cereal Fields under Direct Drilling and Harrow Tillage. Agronomy. 10 (4), p. 452. https://doi.org/10.3390/agronomy10040452

An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales

Curceac, S., Atkinson, P. M., Milne, A. E., Wu, L. and Harris, P. 2020. An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales. Journal of Hydrology. 585, p. 124845. https://doi.org/10.1016/j.jhydrol.2020.124845

What makes or breaks a campaign to stop an invading plant pathogen?

Milne, A., Gottwald, T., Parnell, S. R., Alonso Chavez, V. and Vandenbosch, F. 2020. What makes or breaks a campaign to stop an invading plant pathogen? PLOS Computational Biology. 16 (2), p. e1007570. https://doi.org/10.1371/journal.pcbi.1007570

Facilitating the elicitation of beliefs for use in Bayesian Belief modelling

Hassall, K. L., Dailey, A. G., Zawadzka, J., Milne, A. E., Harris, J. A., Corstanje, R. and Whitmore, A. P. 2019. Facilitating the elicitation of beliefs for use in Bayesian Belief modelling. Environmental Modelling and Software. 122, p. 104539. https://doi.org/10.1016/j.envsoft.2019.104539

Species matter when considering landscape effects on carabid distributions

Jowett, K., Milne, A. E., Metcalfe, H., Hassall, K. L., Potts, S. G., Senapathi, D. and Storkey, J. 2019. Species matter when considering landscape effects on carabid distributions. Agriculture, Ecosystems & Environment. 285 (2019), p. 106631. https://doi.org/10.1016/j.agee.2019.106631

Multi-objective optimization as a tool to identify possibilities for future agricultural landscapes

Todman, L. C., Coleman, K., Milne, A. E., Gil, J. D. B., Reidsma, P., Schwoob, M-H., Treyer, S. and Whitmore, A. P. 2019. Multi-objective optimization as a tool to identify possibilities for future agricultural landscapes. Science of the Total Environment. 687 (15 October), pp. 535-545. https://doi.org/10.1016/j.scitotenv.2019.06.070

The relationships between seedling root screens, root growth in the field and grain yield for wheat

Bai, C., Ge, Y., Ashton, R. W., Evans, J., Milne, A. E., Hawkesford, M. J., Whalley, W. R., Parry, M. A. J., Melichar, J., Feuerhelm, D., Bansept, P. and Bartsch, M. 2019. The relationships between seedling root screens, root growth in the field and grain yield for wheat . Plant and Soil. https://doi.org/10.1007/s11104-019-04088-9

Accounting for data sparsity when forming spatially coherent zones

Hassall, K. L., Whitmore, A. P. and Milne, A. E. 2019. Accounting for data sparsity when forming spatially coherent zones. Applied Mathematical Modelling. 72 (August), pp. 537-552. https://doi.org/10.1016/j.apm.2019.03.030

Modelling the effect of spatially variable soil properties on the distribution of weeds

Metcalfe, H., Milne, A. E., Coleman, K., Murdoch, A. J. and Storkey, J. 2019. Modelling the effect of spatially variable soil properties on the distribution of weeds. Ecological Modelling. 396 (24 March), pp. 1-11. https://doi.org/10.1016/j.ecolmodel.2018.11.002

Growers’ risk perception and trust in control options for huanglongbing citrus-disease in Florida and California

Milne, A., Teiken, C., Deledalle, F., Vandenbosch, F., Gottwalk, T. and McRoberts, N. 2018. Growers’ risk perception and trust in control options for huanglongbing citrus-disease in Florida and California. Crop Protection. 114, pp. 177-186. https://doi.org/10.1016/j.cropro.2018.08.028

Valuing Improvements in Biodiversity Due to Controls on Atmospheric Nitrogen Pollution

Jones, L., Milne, A. E., Hall, J., Mills, G., Provins, A. and Christie, M. 2018. Valuing Improvements in Biodiversity Due to Controls on Atmospheric Nitrogen Pollution. Ecological Economics. 152, pp. 358-366. https://doi.org/10.1016/j.ecolecon.2018.06.010

Defining the habitat niche of Alopecurus myosuroides at the field scale

Metcalfe, H., Milne, A. E., Webster, R., Lark, R. M., Murdoch, A. J., Kanelo, L. and Storkey, J. 2018. Defining the habitat niche of Alopecurus myosuroides at the field scale. Weed Research. 58 (3), pp. 165-176. https://doi.org/10.1111/wre.12300

Spatial Analysis of Digital Imagery of Weeds in a Maize Crop

San-Martin-Hernandez, C., Milne, A. E., Webster, R., Storkey, J., Andujar, D., Fernandez-Quintanilla, C. and Dorado, J. 2018. Spatial Analysis of Digital Imagery of Weeds in a Maize Crop. ISPRS International Journal of Geo-Information. 7 (2), pp. 61-81. https://doi.org/10.3390/ijgi7020061

The implications of spatially variable pre-emergence herbicide efficacy for weed management.

Metcalfe, H., Milne, A., Hull, R. I. C., Murdoch, A. J. and Storkey, J. 2017. The implications of spatially variable pre-emergence herbicide efficacy for weed management. Pest Management Science. 74 (3), pp. 755-765. https://doi.org/10.1002/ps.4784

The landscape model: A model for exploring trade-offs between agricultural production and the environment

Coleman, K., Muhammed, S. E., Milne, A. E., Todman, L. C., Dailey, A. G., Glendining, M. J. and Whitmore, A. P. 2017. The landscape model: A model for exploring trade-offs between agricultural production and the environment. Science of the Total Environment. 609 (Supplement C), pp. 1483-1499. https://doi.org/10.1016/j.scitotenv.2017.07.193

Assessing sampling designs for determining fertilizer practice from yield data

Muhammed, S. E., Marchant, B. P., Webster, R., Whitmore, A. P., Dailey, A. G. and Milne, A. E. 2017. Assessing sampling designs for determining fertilizer practice from yield data. Computers and Electronics in Agriculture. 135 (1 April), pp. 163-174. https://doi.org/10.1016/j.compag.2017.02.002

Does variable soil pH have an effect on the within-field distribution of A. Myosuroides?

Metcalfe, H., Milne, A. E., Murdoch, A. J. and Storkey, J. 2017. Does variable soil pH have an effect on the within-field distribution of A. Myosuroides? Hull, R. I. C., Jellis, G., May, M., Miller, P., Moss, S. R., Nicholls, C. and Orson, J. (ed.) In : Crop Production in Southern Britain 2017, AAB 134. Association of Applied Biologists (AAB) Wellesbourne Warwick .

Automating nitrogen fertiliser management for cereals (Auto-N). AHDB Project Report No.561

Kindred, D. R., Hatley, D., Ginsburg, D., Catalayud, A., Storer, K., Wilson, L., Hockridge, B., Milne, A. E., Marchant, B. P., Miller, P. and Sylvester-Bradley, R. 2016. Automating nitrogen fertiliser management for cereals (Auto-N). AHDB Project Report No.561. Agriculture and Horticulture Development Board.

Boundary line analysis of the effect of water-filled pore space on nitrous oxide emission from cores of arable soil

Lark, R. M. and Milne, A. E. 2016. Boundary line analysis of the effect of water-filled pore space on nitrous oxide emission from cores of arable soil. European Journal of Soil Science. 67 (2), pp. 148-159. https://doi.org/10.1111/ejss.12318

Designing a sampling scheme to reveal correlations between weeds and soil properties at multiple spatial scales

Metcalfe, H., Milne, A. E., Webster, R., Lark, R. M., Murdoch, A. J. and Storkey, J. 2016. Designing a sampling scheme to reveal correlations between weeds and soil properties at multiple spatial scales. Weed Research. 56 (1), pp. 1-13. https://doi.org/10.1111/wre.12184

The effect of farmers' decisions on pest control with Bt crops: a billion dollar game of strategy

Milne, A. E., Bell, J. R., Hutchison, W. D., Van Den Bosch, F., Mitchell, P. D., Crowder, D., Parnell, S. and Whitmore, A. P. 2015. The effect of farmers' decisions on pest control with Bt crops: a billion dollar game of strategy. PLOS Computational Biology. 11, p. e1004483. https://doi.org/10.1371/journal.pcbi.1004483

Communicating the uncertainty in estimated greenhouse gas emissions from agriculture

Milne, A. E., Glendining, M. J., Lark, R. M., Perryman, S. A. M., Gordon, T. and Whitmore, A. P. 2015. Communicating the uncertainty in estimated greenhouse gas emissions from agriculture. Journal of Environmental Management. 160, pp. 139-153. https://doi.org/10.1016/j.jenvman.2015.05.034

Exploring the spatial variation in the fertilizer-nitrogen requirement of wheat within fields

Kindred, D. R., Milne, A. E., Webster, R., Marchant, B. P. and Sylvester-Bradley, R. 2015. Exploring the spatial variation in the fertilizer-nitrogen requirement of wheat within fields. The Journal of Agricultural Science. 153 (1), pp. 25-41. https://doi.org/10.1017/S0021859613000919

Exploiting yield maps and soil management zones

Muhammed, S. E., Milne, A. E., Marchant, B. P., Griffin, S. and Whitmore, A. P. 2014. Exploiting yield maps and soil management zones. Proceedings of the International Fertiliser Society. 22, p. poster.

Understanding the scale-dependence of the relations between soil conditions and weed density and the implications for precision management of weeds

Metcalfe, H., Milne, A. E., Murdoch, A., Webster, R., Lark, R. M. and Storkey, J. 2014. Understanding the scale-dependence of the relations between soil conditions and weed density and the implications for precision management of weeds. Crop production in Southern Britain: precision decisions for profitable cropping. Aspects of Applied Biology 127 . Association of Applied Biologists (AAB) Wellesbourne Warwick . pp. 165-171

Exploiting yield maps and soil management zones

Milne, A. E., Marchant, B. P., Whitmore, A. P. and Muhammed, S. E. 2014. Exploiting yield maps and soil management zones. Landmark. 19, pp. 3-4.

Detecting land use and land management influences on catchment hydrology by modelling and wavelets

Rust, W., Corstanje, R., Holman, I. P. and Milne, A. E. 2014. Detecting land use and land management influences on catchment hydrology by modelling and wavelets. Journal of Hydrology. 517, pp. 378-389. https://doi.org/10.1016/j.jhydrol.2014.05.052

Analysis of uncertainties in the estimates of nitrous oxide and methane emissions in the UK's greenhouse gas inventory for agriculture

Milne, A. E., Glendining, M. J., Bellamy, P., Misselbrook, T. H., Gilhespy, S. L., Rivas Casado, M., Hulin, A., Van Oijen, M. and Whitmore, A. P. 2014. Analysis of uncertainties in the estimates of nitrous oxide and methane emissions in the UK's greenhouse gas inventory for agriculture. Atmospheric Environment. 82, pp. 94-105. https://doi.org/10.1016/j.atmosenv.2013.10.012

Spatial analysis of gilgai patterns

Webster, R., Milne, A. E. and Lark, R. M. 2013. Spatial analysis of gilgai patterns. Pedometron. 33, pp. 4-9.

Wavelet analysis of the variability of nitrous oxide emissions from soil at decameter to kilometer scales

Milne, A. E., Haskard, K. A., Webster, C. P., Truan, I. A., Goulding, K. W. T. and Lark, R. M. 2013. Wavelet analysis of the variability of nitrous oxide emissions from soil at decameter to kilometer scales. Journal of Environmental Quality. 42, pp. 1070-1079. https://doi.org/10.2134/jeq2012.0007

Using the NAG library to help analyse the variation in data from the environment

Milne, A. E. and Lark, R. M. 2012. Using the NAG library to help analyse the variation in data from the environment. NAG News. 110, p. http://www.nag.co.uk/IndustryArticles/nag_for_environment_research.pdf.

Putting the brakes on a cycle: bottom-up effects damp cycle amplitude

Bell, J. R., Burkness, E. C., Milne, A. E., Onstad, D. W., Abrahamson, M., Hamilton, K. L. and Hutchison, W. D. 2012. Putting the brakes on a cycle: bottom-up effects damp cycle amplitude. Ecology Letters. 15 (4), pp. 310-318. https://doi.org/10.1111/j.1461-0248.2011.01739.x

Spatial multivariate classification of an arable field into compact management zones based on past crop yields

Milne, A. E., Webster, R., Ginsburg, D. and Kindred, D. 2012. Spatial multivariate classification of an arable field into compact management zones based on past crop yields. Computers and Electronics in Agriculture. 80, pp. 17-30. https://doi.org/10.1016/j.compag.2011.10.007

Exploring the variation in soil saturated hydraulic conductivity under a tropical rainforest using the wavelet transform

Hassler, S. K., Lark, R. M., Milne, A. E. and Elsenbeer, H. 2011. Exploring the variation in soil saturated hydraulic conductivity under a tropical rainforest using the wavelet transform. European Journal of Soil Science. 62 (6), pp. 891-901. https://doi.org/10.1111/j.1365-2389.2011.01400.x

Wavelet analysis of soil variation at nanometre- to micrometre-scales: an example of organic carbon content in a micro-aggregate

Milne, A. E., Lehmann, J., Solomon, D. and Lark, R. M. 2011. Wavelet analysis of soil variation at nanometre- to micrometre-scales: an example of organic carbon content in a micro-aggregate. European Journal of Soil Science. 62 (4), pp. 617-628. https://doi.org/10.1111/j.1365-2389.2011.01352.x

Wavelet analysis of the correlations between soil properties and potential nitrous oxide emission at farm and landscape scales

Milne, A. E., Haskard, K. A., Webster, C. P., Truan, I. A., Goulding, K. W. T. and Lark, R. M. 2011. Wavelet analysis of the correlations between soil properties and potential nitrous oxide emission at farm and landscape scales. European Journal of Soil Science. 62 (3), pp. 467-478. https://doi.org/10.1111/j.1365-2389.2011.01361.x

Investigating the effect of previous treatments on wheat biomass over multiple spatial frequencies

Milne, A. E., Castellanos, M. T., Cartagena, M. C., Tarquis, A. M. and Lark, R. M. 2010. Investigating the effect of previous treatments on wheat biomass over multiple spatial frequencies. Biogeosciences. 7, pp. 2739-2747. https://doi.org/10.5194/bg-7-2739-2010

A model to simulate yield losses in winter wheat caused by weeds, for use in a weed management decision support system

Benjamin, L. R., Milne, A. E., Parsons, D. J. and Lutman, P. J. W. 2010. A model to simulate yield losses in winter wheat caused by weeds, for use in a weed management decision support system. Crop Protection. 29, pp. 1264-1273. https://doi.org/10.1016/j.cropro.2010.07.015

Spectral and wavelet analysis of gilgai patterns from air photography

Milne, A. E., Webster, R. and Lark, R. M. 2010. Spectral and wavelet analysis of gilgai patterns from air photography. Australian journal of soil research. 48, pp. 309-325. https://doi.org/10.1071/SR09189

The wavelet packet transform: a technique for investigating temporal variation of river water solutes

Milne, A. E., Macleod, C. J. A., Haygarth, P. M., Hawkins, J. M. B. and Lark, R. M. 2009. The wavelet packet transform: a technique for investigating temporal variation of river water solutes. Journal of Hydrology. 379 (1-2), pp. 1-19. https://doi.org/10.1016/j.jhydrol.2009.09.038

Wavelet transforms applied to irregularly sampled soil data

Milne, A. E. and Lark, R. M. 2009. Wavelet transforms applied to irregularly sampled soil data. Mathematical geosciences. 41, pp. 661-678. https://doi.org/10.1007/s11004-009-9234-4

Weed Manager - a model-based decision support system for weed management in arable crops

Parsons, D. J., Benjamin, L. R., Clarke, J., Ginsburg, D., Mayes, A., Milne, A. E. and Wilkinson, D. J. 2009. Weed Manager - a model-based decision support system for weed management in arable crops. Computers and Electronics in Agriculture. 65, pp. 155-167. https://doi.org/10.1016/j.compag.2008.08.007

Using stochastic dynamic programming to support weed management decisions over a rotation

Benjamin, L. R., Milne, A. E., Parsons, D. J., Cussans, J. and Lutman, P. J. W. 2009. Using stochastic dynamic programming to support weed management decisions over a rotation. Weed Research. 49 (2), pp. 207-216. https://doi.org/10.1111/j.1365-3180.2008.00678.x

A model of the effect of fungicides on disease-induced yield loss, for use in wheat disease management decision support systems

Milne, A. E., Paveley, N., Audsley, E. and Parsons, D. 2007. A model of the effect of fungicides on disease-induced yield loss, for use in wheat disease management decision support systems. Annals of Applied Biology - AAB. 151 (1), pp. 113-125. https://doi.org/10.1111/j.1744-7348.2007.00158.x

A new method to estimate boundary models for biological datasets

Milne, A. E. and Lark, R. M. 2006. A new method to estimate boundary models for biological datasets. Cambridge University Press (CUP). https://doi.org/10.1017/S0021859606006290

Using a process model and regression kriging to improve predictions of nitrous oxide emissions from soil

Stacey, K. F., Lark, R. M., Whitmore, A. P. and Milne, A. E. 2006. Using a process model and regression kriging to improve predictions of nitrous oxide emissions from soil. Geoderma. 135, pp. 107-117. https://doi.org/10.1016/j.geoderma.2005.11.008

On testing biological data for the presence of a boundary

Milne, A. E., Wheeler, H. C. and Lark, R. M. 2006. On testing biological data for the presence of a boundary. Annals of Applied Biology - AAB. 149 (2), pp. 213-222. https://doi.org/10.1111/j.1744-7348.2006.00085.x

Estimating a boundary line model for a biological response by maximum likelihood

Milne, A. E., Ferguson, R. B. and Lark, R. M. 2006. Estimating a boundary line model for a biological response by maximum likelihood. Annals of Applied Biology - AAB. 149 (2), pp. 223-234. https://doi.org/10.1111/j.1744-7348.2006.00086.x

Development and validation of 'weed management support system' (Weed Manager). HGCA project report no. 388

Tatnell, L. V., Clarke, J. H., Ginsburg, D., Lutman, P. J. W., Mayes, A., Benjamin, L. R., Parsons, D. J., Milne, A. E., Wilkinson, D. J. and Davies, D. H. K. 2006. Development and validation of 'weed management support system' (Weed Manager). HGCA project report no. 388. London Home Grown Cereals Authority (HGCA).

Wavelet analysis of the scale- and location-dependent correlation of modelled and measured nitrous oxide emissions from soil

Milne, A. E., Lark, R. M., Addiscott, T. M., Goulding, K. W. T., Webster, C. P. and O'flaherty, S. 2005. Wavelet analysis of the scale- and location-dependent correlation of modelled and measured nitrous oxide emissions from soil. European Journal of Soil Science. 56 (1), pp. 3-17. https://doi.org/10.1111/j.1365-2389.2004.00650.x

Scale- and location-dependent correlation of nitrous oxide emissions with soil properties: an analysis using wavelets

Lark, R. M., Milne, A. E., Addiscott, T. M., Goulding, K. W. T., Webster, C. P. and O'flaherty, S. 2004. Scale- and location-dependent correlation of nitrous oxide emissions with soil properties: an analysis using wavelets. European Journal of Soil Science. 55 (3), pp. 611-627. https://doi.org/10.1111/j.1365-2389.2004.00620.x

Analysing spatially intermittent variation of nitrous oxide emissions from soil with wavelets and the implications for sampling

Lark, R. M., Milne, A. E., Addiscott, T. M., Goulding, K. W. T., Webster, C. P. and O'flaherty, S. 2004. Analysing spatially intermittent variation of nitrous oxide emissions from soil with wavelets and the implications for sampling. European Journal of Soil Science. 55 (3), pp. 601-610. https://doi.org/10.1111/j.1365-2389.2004.00629.x

Providing a framework for improved management of weeds in arable systems - WMSS

Davies, D. H. K., Maskell, P., Collings, L. V., Ginsburg, D., Clarke, J. H., Milne, A. E., Benjamin, L. R., Mayes, A. and Lutman, P. J. W. 2004. Providing a framework for improved management of weeds in arable systems - WMSS. Proceedings Conference on Crop Protection in Northern Britain, Dundee, 24-25 February 2004 . pp. 195-200

WMSS: improving the precision and prediction of weed management strategies in winter dominant rotations

Collings, L. V., Ginsburg, D., Clarke, J. H., Milne, A. E., Parsons, D. J., Wilkinson, D. J., Benjamin, L. R., Mayes, A., Lutman, P. J. W. and Davies, D. H. K. 2003. WMSS: improving the precision and prediction of weed management strategies in winter dominant rotations. Proceedings BCPC International Congress - Crop Science and Technology, Glasgow, 10-12 November 2003 . pp. 229-232

Alice Milne

Research outputs

Projects