4f4c4942-4343-5764-6473-313631333534 English Natural Resources Wales Maes y Ffynnon Bangor LL57 2DW Wales opendata@cyfoethnaturiolcymru.gov.uk 2026-02-03T13:55:33.233Z NRW 1.0 wel British National Grid (EPSG:27700) Rapid Evidence Assessment of the Impacts of Organic Manures on the Water Quality of Rivers Rapid Evidence Assessment of the Impacts of Organic Manures on the Water Quality of Rivers 2025-04-04 NRW_DS161354 The principal aim of this study was to improve Natural Resources Wales’ understanding of how organic manures, particularly from the poultry sector, can impact the nutrient status of rivers, with a focus on phosphorus (P). The methodology used to produce this Rapid Evidence Assessment (REA) included a systematic review of relevant literature to establish an evidence base, which was used to address primary and secondary Research Questions (RQs). The scope of the study was restricted to answering the RQs only, and, as a REA, the literature searches and critical appraisal of the literature were not as comprehensive as a full systemic review. This metadata is created for the finalised evidence base created from evidence reviews and research questions. The principal aim of this study was to improve Natural Resources Wales’ understanding of how organic manures, particularly from the poultry sector, can impact the nutrient status of rivers, with a focus on phosphorus (P). The methodology used to produce this Rapid Evidence Assessment (REA) included a systematic review of relevant literature to establish an evidence base, which was used to address primary and secondary Research Questions (RQs). The scope of the study was restricted to answering the RQs only, and, as a REA, the literature searches and critical appraisal of the literature were not as comprehensive as a full systemic review. This metadata is created for the finalised evidence base created from evidence reviews and research questions. Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Atkins Ltd Atkins Ltd, Longcross Court, 47 Newport Road, CARDIFF, CF24 0AD info@atkinsglobal.com http://www.atkinsglobal.com/locations/europe/uk/wales Agricultural and aquaculture facilities GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme There are no access restrictions on this data. NRW may release, publish or disseminate it freely. noLimitations © CNC/NRW Data may be re-used under the terms of the Open Government Licence providing it is done so, acknowledging both the source and NRW's copyright. It is the recipient's responsibility to ensure the data is fit for the intended purpose. Contains Natural Resources Wales information © Natural Resources Wales and Database Right. All rights Reserved. Open Government Licence English farming Wales (WLS) -5.77 -2.61 51.24 53.50 2023-09-25 2025-03-26 Vallack, H., Hargreaves, A., Gibbs, H. 2025. Rapid Evidence Assesment of the Impacts of Organic Manures on the Water Quality of Rivers. NRW Evidence Report No: 774, 122pp, Natural Resources Wales, Bangor. Documents NRW Evidence Report in word or pdf format Delimited Excel spreadsheet containing evidence review 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 This dataset has not been assessed for conformance to the referenced INSPIRE regulation. false An REA was undertaken following the methods described by Collins et al. (2015). Structured searches of the academic literature were conducted using the search engine Scopus. Search strings were designed based on the adapted PICO framework. Searches were limited to the article title, abstract and keywords and restricted to the last 25 years (1999 – 2023) to ensure the most relevant information was captured. The geographic scope was defined as countries with the same bioclimatic classification as the UK. The top 80 most relevant studies were downloaded per search term. The top 25 most relevant articles (not limited by publication date) were downloaded for each manure type and search term, and duplicates removed with the original list. A final search was conducted that focused on UK-specific literature, as this is the primary focus of the review, following which the top 20 articles (ordered by relevance) were selected. Additional unstructured searches were conducted using Google Scholar. The relevance of each article was initially reviewed based on the title, and designated a category of ‘relevant’, ‘somewhat relevant’, or ‘not relevant’. Following this, the second stage of the filtering process reviewed the abstracts of those articles deemed ‘relevant’ or ‘somewhat relevant’ at the title filtering stage into ‘relevant’ or ‘not relevant’. An REA was undertaken following the methods described by Collins et al. (2015). Structured searches of the academic literature were conducted using the search engine Scopus. Search strings were designed based on the adapted PICO framework. Searches were limited to the article title, abstract and keywords and restricted to the last 25 years (1999 – 2023) to ensure the most relevant information was captured. The geographic scope was defined as countries with the same bioclimatic classification as the UK. The top 80 most relevant studies were downloaded per search term. The top 25 most relevant articles (not limited by publication date) were downloaded for each manure type and search term, and duplicates removed with the original list. A final search was conducted that focused on UK-specific literature, as this is the primary focus of the review, following which the top 20 articles (ordered by relevance) were selected. Additional unstructured searches were conducted using Google Scholar. The relevance of each article was initially reviewed based on the title, and designated a category of ‘relevant’, ‘somewhat relevant’, or ‘not relevant’. Following this, the second stage of the filtering process reviewed the abstracts of those articles deemed ‘relevant’ or ‘somewhat relevant’ at the title filtering stage into ‘relevant’ or ‘not relevant’.