Black-grass model
J - Computer programs
Metcalfe, H. 2021. Black-grass model. https://hmetcalfe1.shinyapps.io/BGmodel/ https://doi.org/10.5281/zenodo.4966165
| Authors | Metcalfe, H. |
|---|---|
| Abstract | A shiny app exploring some principles of ecological modelling. The app is hosted at https://hmetcalfe1.shinyapps.io/BGmodel/ The app uses a real-world example of a problematic agricultural weed and how we might model its growth year on year. The data used in the examples are simulated data and are not derived from experiments. The app is aimed at 16-18 year-olds interested in pursuing a career in applied mathematics and can be used as a stand alone tool or as a teaching aid in a classroom setting. |
| Year of Publication | 2021 |
| Place of publication | https://hmetcalfe1.shinyapps.io/BGmodel/ |
| Digital Object Identifier (DOI) | https://doi.org/10.5281/zenodo.4966165 |
| Publication dates | |
| Online | 2021 |
Related outputs
Implications and impacts of aligning regional agriculture with a healthy diet
A - Papers appearing in refereed journals
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
A - Papers appearing in refereed journals
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
Trade-offs constrain the success of glyphosate-free farming.
A - Papers appearing in refereed journals
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
Modelling the Persistence of Weed Populations
B - Book chapters etc edited externally
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
The utility of the “Arable Weeds and Management in Europe” database: Challenges and opportunities of combining weed survey data at a European scale
A - Papers appearing in refereed journals
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
A - Papers appearing in refereed journals
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
Simulating cropping sequences using earth observation data
A - Papers appearing in refereed journals
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
Black-grass model
J - Computer programs
Metcalfe, H. 2021. Black-grass model. https://doi.org/10.5281/zenodo.4966165
Defining Integrated Weed Management: A Novel Conceptual Framework for Models
A - Papers appearing in refereed journals
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
Arable Weeds and Management in Europe
A - Papers appearing in refereed journals
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
Crop Sequence Generator (Version v1.0)
J - Computer programs
Metcalfe, H. 2020. Crop Sequence Generator (Version v1.0). Zenodo. https://doi.org/10.5281/zenodo.3751018
Spatial Modelling of Within-Field Weed Populations - a Review
A - Papers appearing in refereed journals
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
Using Functional Traits to Model Annual Plant Community Dynamics
A - Papers appearing in refereed journals
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
An ecological future for weed science to sustain crop production and the environment. A review
A - Papers appearing in refereed journals
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
Alley cropping agroforestry systems
A - Papers appearing in refereed journals
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
Species matter when considering landscape effects on carabid distributions
A - Papers appearing in refereed journals
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
A - Papers appearing in refereed journals
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
Modelling the effect of spatially variable soil properties on the distribution of weeds
A - Papers appearing in refereed journals
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
A - Papers appearing in refereed journals
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
Does variable soil pH have an effect on the within-field distribution of A. Myosuroides?
A - Papers appearing in refereed journals
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.
Modelling the Spatial Variation in Alopecurus myosuroides for Precision Weed Management
F - Theses
Metcalfe, H. 2017. Modelling the Spatial Variation in Alopecurus myosuroides for Precision Weed Management. F - Theses
The implications of spatially variable pre-emergence herbicide efficacy for weed management.
A - Papers appearing in refereed journals
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
Designing a sampling scheme to reveal correlations between weeds and soil properties at multiple spatial scales
A - Papers appearing in refereed journals
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
A - Papers appearing in refereed journals
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.
Permalink - https://repository.rothamsted.ac.uk/item/98539/black-grass-model