4592780d-734f-4f62-9780-87afe27555d2 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:24 UK GEMINI 2.3 OSGB 1936 / British National Grid Data from the experimental management of arable field options for rare plants 2016-02-29 publication 2014-12-31 creation https://catalogue.ceh.ac.uk/id/4592780d-734f-4f62-9780-87afe27555d2 10.5285/4592780d-734f-4f62-9780-87afe27555d2 doi: Wagner, M., Bullock, J.M., Redhead, J.W., Hulmes, S., Hulmes, L., Peyton, J., Amy, S., Nowakowski, M., Hooftman, D.A.P., Pywell, R.F. (2016). Data from the experimental management of arable field options for rare plants. NERC Environmental Information Data Centre 10.5285/4592780d-734f-4f62-9780-87afe27555d2 This dataset consists of vegetation abundance data from four experiments investigating the management of arable field options for rare plants. These experiments consisted of a margin management experiment, a herbicide screening experiment, a cereal headland experiment and a crop rotation experiment. All experiments were conducted between 2011 and 2014. The margin management experiment investigated the effects of different cultivation timing and methods and herbicide treatments on the vegetation species composition and abundance within arable field margins. The herbicide screening experiment investigated the effects of different herbicides and their timing of application on the condition of fifteen species of rare arable plants. The cereal headland experiment investigated the effects of standard cereal sowing density versus reduced cereal sowing density, and of standard application of N fertilizer vs no application, on sown rare arable species and on the spontaneous weed flora of cereal stands. The crop rotation experiment was designed to provide baseline data for modelling population dynamics of rare arable species in relation to crop rotation scenarios. The data comes from a project funded by Defra (BD5204: Improving the management and success of arable plant options in ELS and HLS). Full details about this dataset can be found at https://doi.org/10.5285/4592780d-734f-4f62-9780-87afe27555d2 UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Wagner, M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Bullock, J.M. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0529-4020 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Redhead, J.W. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2233-3848 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hulmes, S. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Hulmes, L. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Peyton, J. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-8313-6194 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Amy, S. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Nowakowski, M. Wildlife Farming Company marek@wildlifefarming.co.uk author Hooftman, D.A.P. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Pywell, R.F. Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6431-9959 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner notPlanned Dataset is complete. Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication landscape management herbicide arable farming GEMET - Concepts, version 4.1.3 2019-01-28 creation Biodiversity otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions If you reuse this data, you should cite: Wagner, M., Bullock, J.M., Redhead, J.W., Hulmes, S., Hulmes, L., Peyton, J., Amy, S., Nowakowski, M., Hooftman, D.A.P., Pywell, R.F. (2016). Data from the experimental management of arable field options for rare plants. NERC Environmental Information Data Centre https://doi.org/10.5285/4592780d-734f-4f62-9780-87afe27555d2 textTable English utf8 farming biota 2011-01-01 2014-12-31 -6.452 1.768 49.864 55.812 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/4592780d-734f-4f62-9780-87afe27555d2 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/4592780d-734f-4f62-9780-87afe27555d2.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Quality assurance for data from these experiments consisted of checking for outliers, of spot checking of input data, and in the case of vegetation data, of checking and correcting for ID inconsistencies among recorders, and, where necessary, forming species aggregates.