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

التفاصيل البيبلوغرافية
العنوان: The utility of the ‘Arable Weeds and Management in Europe’ database: Challenges and opportunities of combining weed survey data at a European scale
المؤلفون: Helen Metcalfe, Jana Bürger, Christoph von Redwitz, Alicia Cirujeda, Silvia Fogliatto, Denise F. Dostatny, Bärbel Gerowitt, Michael Glemnitz, José L. González‐Andújar, Eva Hernández Plaza, Jordi Izquierdo, Michaela Kolářová, Jevgenija Ņečajeva, Sandrine Petit, Gyula Pinke, Matthias Schumacher, Lena Ulber, Francesco Vidotto, Guillaume Fried
المساهمون: European Commission, Natural Environment Research Council (UK), Biotechnology and Biological Sciences Research Council (UK), Metcalfe, Helen, Cirujeda, Alicia, Fogliatto, Silvia, Hernández Plaza, Eva, Ņečajeva, Jevgenija, Ulber, Lena, Fried, Guillaume, Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
سنة النشر: 2022
مصطلحات موضوعية: data collection, Plot size, weed community, Cover estimates, Métodos de investigación, Plant Science, Arable plants, Malezas, Males herbes, plot size, weeds, Enginyeria agroalimentària::Agricultura::Horticultura [Àrees temàtiques de la UPC], Colección de datos, Ecology, Evolution, Behavior and Systematics, Abundance measures, Nomenclature, Bases de datos, sampling bias, Management, abundance measures, arable plants, cover estimates, management, nomenclature, Data collection, Weeds, Europa, Agronomy and Crop Science
الوصف: 11 Pág.
Over the last 30 years, many studies have surveyed weed vegetation on arable land. The 'Arable Weeds and Management in Europe' (AWME) database is a collection of 36 of these surveys and the associated management data. Here, we review the challenges associated with combining disparate datasets and explore some of the opportunities for future research that present themselves thanks to the AWME database. We present three case studies repeating previously published national scale analyses with data from a larger spatial extent. The case studies, originally done in France, Germany and the UK, explore various aspects of weed ecology (community composition, management and environmental effects and within-field distributions) and use a range of statistical techniques (canonical correspondence analysis, redundancy analysis and generalised linear mixed models) to demonstrate the utility and versatility of the AWME database. We demonstrate that (i) the standardisation of abundance data to a common measure, before the analysis of the combined dataset, has little impact on the outcome of the analyses, (ii) the increased extent of environmental or management gradients allows for greater confidence in conclusions and (iii) the main conclusions of analyses done at different spatial scales remain consistent. These case studies demonstrate the utility of a Europe-wide weed survey database, for clarifying or extending results obtained from studies at smaller scales. This Europe-wide data collection offers many more opportunities for analysis that could not be addressed in smaller datasets; including questions about the effects of climate change, macro-ecological and biogeographical issues related to weed diversity as well as the dominance or rarity of specific weeds in Europe.
This work was made possible via the Weeds and Biodiversity working group of the European Weed Research Society. This project was funded under a Rothamsted Research and BBSRC grant number BB/W510543/1. Helen Metcalfe was partly supported by the Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) research programme NE/N018125/1 LTS-M (ASSIST). Jana Bürger's work on this project was supported by Deutsche Forschungsgemeinschaft DFG (grant number BU 3097/1-1).
وصف الملف: application/pdf
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f277a4ccb7836b0a4f0532c3debf62
http://hdl.handle.net/10532/6245
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....a8f277a4ccb7836b0a4f0532c3debf62
قاعدة البيانات: OpenAIRE