Helen Metcalfe

Name	Helen Metcalfe
Job title	Research Scientist - Eco-Systems Modeller
Email address	helen.metcalfe@rothamsted.ac.uk
Department	Net Zero and Resilient Farming
Research cluster	SAS-H: Agronomy and Nutrient Flows
ORCID	https://orcid.org/0000-0002-2862-0266
Office	Harpenden

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Research outputs

Trade-offs constrain the success of glyphosate-free farming.

Metcalfe, H., Storkey, J., Hull, R. I., Bullock, J. M., Whitmore, A. P., Sharp, R. and Milne, A. E. 2023. Trade-offs constrain the success of glyphosate-free farming. Scientific Reports. 14, p. 8001. https://doi.org/10.1038/s41598-024-58183-8

Implications and impacts of aligning regional agriculture with a healthy diet

Sharp, R., Bellamy, A. S., Clear, A., Finnigan, S. M., Furness, E., Meador, E., Metcalfe, H., Mills, S., Coleman, K., Whitmore, A. P. and Milne, A. E. 2024. Implications and impacts of aligning regional agriculture with a healthy diet. Journal of Cleaner Production. 449, p. 141375. https://doi.org/10.1016/j.jclepro.2024.141375

Modelling the factors affecting the spatiotemporal distribution of cabbage stem flea beetle (Psylliodes chrysocephala) larvae in winter oilseed rape (Brassica napus) in the UK

Ortega-Ramos, P., Mauchline, A. L., Metcalfe, H., Cook, S. M., Girling, R. D. and Collins, L. 2024. Modelling the factors affecting the spatiotemporal distribution of cabbage stem flea beetle (Psylliodes chrysocephala) larvae in winter oilseed rape (Brassica napus) in the UK. Pest Management Science. 80 (5), pp. 2267-2281. https://doi.org/10.1002/ps.7427

The utility of the “Arable Weeds and Management in Europe” database: Challenges and opportunities of combining weed survey data at a European scale

Metcalfe, H., Burger, J., Redwitz, C. V., Cirujeda, A., Fogliatto, S., Dostatny, D. F., Gerowitt, B., Glemnitz, M., Gonzalez-Andujar, J. L., Plaza, E. H., Izquierdo, J., Kolarova, M., Necajeva, J., Petit, S., Pinke, G., Schumacher, M., Ulber, L., Vidotto, F. and Fried, G. 2022. The utility of the “Arable Weeds and Management in Europe” database: Challenges and opportunities of combining weed survey data at a European scale. Weed Research. https://doi.org/10.1111/wre.12562

Two sides of one medal: arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

Burger, J., Kuzmic, F., Silc, U., Jansen, F., Metcalfe, H., Redwitz, C., Cirujeda, A., Fogliatto, S., Fried, G., Dostatny, D. F., Gerowitt, B., Glemnitz, M., Gonzalez-Andujar, J. L., Plaza, E. H., Izquierdo, J., Kolarova, M., Necajeva, J., Petit, S., Pinke, G., Schumacher, M., Ulber, L. and Vidotto, F. 2022. Two sides of one medal: arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys. Applied Vegetation Science. 25 (1), p. e12460. https://doi.org/10.1111/avsc.12460

Modelling the Persistence of Weed Populations

Storkey, J., Gardarin, A., Colbach, N., Metcalfe, H. and Milne, A. E. 2022. Modelling the Persistence of Weed Populations. in: Upadhyaya, M. K., Clements, D. R. and Shrestha, A. (ed.) Persistence Strategies of Weeds Wiley. pp. Chapter 9

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

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

Black-grass model

Metcalfe, H. 2021. Black-grass model. https://doi.org/10.5281/zenodo.4966165

Black-grass model

Metcalfe, H. 2021. Black-grass model. https://hmetcalfe1.shinyapps.io/BGmodel/ https://doi.org/10.5281/zenodo.4966165

Arable Weeds and Management in Europe

Burger, J., Metcalfe, H., Redwitz, C. V., Cirujeda, A., Fogliatto, S., Fried, G., Dostatny, D. F., Glemnitz, M., Gerowitt, B., Gonzalez-Andujar, J. L., Plaza, E. H., Izquierdo, J., Kolarova, M., Necajeva, J., Petit, S., Pinke, G., Schumacher, M., Ulber, L. and Vidotto, F. 2020. Arable Weeds and Management in Europe. Vegetation Classification and Survey. 1, pp. 169-170. https://doi.org/10.3897/vcs/2020/61419

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

Spatial Modelling of Within-Field Weed Populations - a Review

Somerville, G. J., Sonderskov, M., Mathiassen, S. K. and Metcalfe, H. 2020. Spatial Modelling of Within-Field Weed Populations - a Review. Agronomy. 10 (7), p. 1044. https://doi.org/10.3390/agronomy10071044

An ecological future for weed science to sustain crop production and the environment. A review

MacLaren, C., Storkey, J., Menegat, A., Metcalfe, H. and Dehnen-Schmutz, K. 2020. An ecological future for weed science to sustain crop production and the environment. A review. Agronomy for Sustainable Development - ASD. 40, p. article 24. https://doi.org/10.1007/s13593-020-00631-6

Crop Sequence Generator (Version v1.0)

Metcalfe, H. 2020. Crop Sequence Generator (Version v1.0). Zenodo. https://doi.org/10.5281/zenodo.3751018

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

The contribution of spatial mass effects to plant diversity in arable fields

Metcalfe, H., Hassall, K. L., Boinot, S. and Storkey, J. 2019. The contribution of spatial mass effects to plant diversity in arable fields . Journal of Applied Ecology. 56 (3), pp. 1-15. https://doi.org/10.1111/1365-2664.13414

Alley cropping agroforestry systems

Boinot, S., Fried, G., Storkey, J., Metcalfe, H., Barkaoui, K., Lauri, P. and Meziere, D. 2019. Alley cropping agroforestry systems. Agriculture, Ecosystems & Environment. 284 (15 Nov), p. 106584. https://doi.org/10.1016/j.agee.2019.106584

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

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

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

Modelling the Spatial Variation in Alopecurus myosuroides for Precision Weed Management

Metcalfe, H. 2017. Modelling the Spatial Variation in Alopecurus myosuroides for Precision Weed Management. F - Theses

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? Aspects of Applied Biology. 134, pp. 145-150.

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

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. Aspects of Applied Biology. 127, pp. 165-171.