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

Vegetation data from field surveys undertaken at two experimental trials at Martin Down NNR, to investigate the potential for reducing dense Brachypodium pinnatum cover (experiment 1) and preventing further expansion of sparse cover (experiment 2). Experiment 1 explores the use of herbicide and reseeding, whilst experiment 2 examines cutting and grazing in the spring, autumn and both seasons. Percentage cover of all vascular plant species were recorded in 50 cm x 50 cm quadrats in each treatment replicate for both experiments. Surveys were undertaken in 2019 as a baseline before the experiments commenced, and post treatment in 2020, 2021 and 2022. Full details about this dataset can be found at https://doi.org/10.5285/f15e64c0-db65-40ec-8b6d-50573f5f6694

The data resource consists of invasive tree species individual responses to mechanical-chemical/chemical treatments on plots established on invaded sub-tropical mountain secondary forests (Yungas). Those plots are in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The current database belongs to an experiment that we conducted to investigate management control of the invasion of non-native species Ligustrum and other exotic species to restore native tree diversity from June 2020 to November 2023. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management. Full details about this dataset can be found at https://doi.org/10.5285/199d5e9f-0a23-4166-a200-0b03384835a4

Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Chlorotoluron dissolved, Diuron dissolved, Isoproturon dissolved, Linuron dissolved, Mecoprop dissolved. Phenyl urea herbicide data is available for twelve sites in the Humber catchment within 1994 to 1995 and 1994 to 1997 and for three sites on the Tweed catchment within 1995. Phenoxy acid herbicide data is available for six sites (S1, U3, N4, W5 and O6) over the period December 1994 to September 1995, for 7 sites (S2, D7, A8, C9, D10, T11 and O12) over the period December 1994 to February 1997 and 3 sites (TW13, TW14 and TW15) over the period January 1995 to September 1995. Attempts were made to sample the sites at weekly intervals. However sampling was halted for short periods when it was not possible to process the samples quickly. Linuron dissolved was only measured from April 1994 - October 1994. Samples were collected in chromic acid-washed 1 litre glass bottles. Herbicide levels were concentrated before being measured using High Performance Liquid Chromatography for Phenyl urea herbicides and Gas Chromatography for Phenoxy acid herbicides. Until November 1994, analysis was completed by the York University and the Institute for Freshwater Ecology, Wareham, laboratories. From December 1994 onwards the samples were dispatched to the Institute for Hydrology, Wallingford, for extraction and analyses. Full details about this dataset can be found at https://doi.org/10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a

This dataset consists of farm management data which includes crop drilling dates and herbicide application dates. The data relate to arable fields in which a range of ecological measurements were collected, including species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. Each field was sown with a combination of genetically modified and conventional crops, either Beet, Maize, Spring-sown Oilseed Rape or Winter-sown oilseed Rape. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crop Research (now Rothamstead Research, IACR) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute, JHI). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape).

This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional beet crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535

[THIS DATASET HAS BEEN WITHDRAWN]. This data product maps pesticide applications across England and Wales. It is produced at a 1km resolution with units of kg active ingredient applied per year. Pesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, with the total application calculated by multiplying the estimated rates by the area of each crop in the square. The product provides application estimates for 129 different active ingredients including herbicides, insecticides, molluscicides and fungicides. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product is a snapshot of average applications between 2012 and 2016. The product builds upon the Centre for Ecology & Hydrology (CEH) Land Cover® Plus: Crops product. An average of CEH Land Cover® Plus: Crops 2015, 2016 and 2017 is used to reflect average crop coverage at the 1km resolution. Temporal variation in pesticide application is not modelled explicitly but is reflected in the uncertainty maps. This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/a72f8ce8-561f-4f3a-8866-5da620c0c9fe