A multi-scale framework for strategic management of diffuse pollution

Hewett, Caspar; Quinn, Paul; Heathwaite, A. Louise; Doyle, Aidan; Burke, Sean; Whitehead, Paul; Lerner, David N.

doi:10.1016/j.envsoft.2008.05.006

Cited by 44 publications

(33 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Herein lies our argument that sub-catchments are a helpful unit of spatial scale. This is in line with the arguments of those who have also advocated the need for a twotiered approach to catchment management, combining broad regional policies with targeted management in high risk areas at the catchment and farm scale (Heathwaite et al, 2000;Hewett et al, 2009;Johnes et al, 2007).…”

Section: Rescaling Jurisdictions: the Catchment Approachsupporting

confidence: 55%

Catchments, sub-catchments and private spaces: Scale and process in managing microbial pollution from source to sea

Winter

Oliver

Fish

et al. 2011

Environmental Science & Policy

Self Cite

View full text Add to dashboard Cite

Exeter. He is a rural policy specialist and a rural sociologist with particular interests in applying interdisciplinary approaches to policy-relevant research and in direct engagement in the policy process.David Oliver is senior research fellow in the Centre for Sustainable Water Management in the Lancaster Environment Centre, Lancaster University. His research background is in soil hydrology and water flow pathways, and microbial transfer and survival within agricultural

show abstract

Section: Rescaling Jurisdictions: the Catchment Approachsupporting

confidence: 55%

Catchments, sub-catchments and private spaces: Scale and process in managing microbial pollution from source to sea

Winter

Oliver

Fish

et al. 2011

Environmental Science & Policy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous studies have focused on larger watersheds (Bartoli et al, 2012;Billen et al, 2012;Lassaletta et al, 2012) or regions Neumann et al, 2011), and are typically based on statistics and publicly-available geo-databases rather than empirically collected data. These studies provide valuable insight into the consequences of N hotspots at these regional scales, but there is a lack of knowledge concerning the interactions between the local farm management and the natural processes in specific landscapes with agricultural Npollution hotspots Dalgaard et al, 2011;Hewett et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

Farm nitrogen balances in six European landscapes as an indicator for nitrogen losses and basis for improved management

Dalgaard

Bieńkowski²,

Bleeker

et al. 2012

Biogeosciences

View full text Add to dashboard Cite

Abstract. Improved management of nitrogen (N) in agriculture is necessary to achieve a sustainable balance between the production of food and other biomass, and the unwanted effects of N on water pollution, greenhouse gas emissions, biodiversity deterioration and human health. To analyse farm N-losses and the complex interactions within farming systems, efficient methods for identifying emissions hotspots and evaluating mitigation measures are therefore needed. The present paper aims to fill this gap at the farm and landscape scales. Six agricultural landscapes in Poland (PL), the Netherlands (NL), France (FR), Italy (IT), Scotland (UK) and Denmark (DK) were studied, and a common method was developed for undertaking farm inventories and the derivation of farm N balances, N surpluses and for evaluating uncertainty for the 222 farms and 11 440 ha of farmland included in the study.In all landscapes, a large variation in the farm N surplus was found, and thereby a large potential for reductions. The highest average N surpluses were found in the most livestock-intensive landscapes of IT, FR, and NL; on average 202 ± 28, 179 ± 63 and 178 ± 20 kg N ha −1 yr −1 , respectively. All landscapes showed hotspots, especially from livestock farms, including a special UK case with large-scale landless poultry farming. Overall, the average N surplus from the land-based UK farms dominated by extensive sheep and cattle grazing was only 31 ± 10 kg N ha −1 yr −1 , but was similar to the N surplus of PL and DK (122 ± 20 and 146 ± 55 kg N ha −1 yr −1 , respectively) when landless poultry farming was included.We found farm N balances to be a useful indicator for N losses and the potential for improving N management. Significant correlations to N surplus were found, both with ammonia air concentrations and nitrate concentrations in soils and groundwater, measured during the period of N management data collection in the landscapes from [2007][2008][2009]. This indicates that farm N surpluses may be used as an independent dataset for validation of measured and modelled N emissions in agricultural landscapes. No significant correlation was found with N measured in surface waters, probably because of spatial and temporal variations in groundwater buffering and biogeochemical reactions affecting N flows from farm to surface waters.A case study of the development in N surplus from the landscape in DK from 1998-2008 showed a 22 % reduction related to measures targeted at N emissions from livestock farms. Based on the large differences in N surplus between average N management farms and the most modern and Nefficient farms, it was concluded that additional N-surplus reductions of 25-50 %, as compared to the present level, were realistic in all landscapes. The implemented N-surplus Published by Copernicus Publications on behalf of the European Geosciences Union. T. Dalgaard et al.: Farm nitrogen balances as indicator for nitrogen lossesmethod was thus effective for comparing and synthesizing results on farm N emissions and the potentials of miti...

show abstract

“…The types of data taken at a point (1 km 2 ) may differ greatly from measurement made at small catchments (10 km 2 ) or in large areas (100 km 2 ). As we scale up from point to large area, we accept that there is degree of uncertainty [11].…”

Section: Upscalingmentioning

confidence: 99%

Multi-scale European Soil Information System (MEUSIS): a multi-scale method to derive soil indicators

2010

View full text Add to dashboard Cite

The Multi-scale Soil Information System (MEUSIS) can be a suitable framework for building a nested system of soil data that could facilitate interoperability through a common coordinate reference system, a unique grid coding database, a set of detailed and standardized metadata, and an open exchangeable format. In the context of INSPIRE Directive, MEU-SIS may be implemented as a system facilitating the update of existing soil information and accelerating the harmonization of various soil information systems. In environmental data like the soil one, it is common to generalize accurate data obtained at the field to coarser scales using either the pedotransfer rules or knowledge of experts or even some statistical solutions which combine single values of spatially distributed data. The most common statistical process for generalization is averaging the values within the study area. In this paper, we do not present a simple averaging of numerical values without any further processed information. The upscaling process is accompanied with significant statistical analysis in order to demonstrate the method suitability. The coarser resolution nested P. Panagos (B) · M. Van Liedekerke · L. Montanarella grids cells (10 × 10 km) represent broad regions where the calculated soil property (e.g., organic carbon) can be accurately upscaled. Multi-scaled approaches are urgently required to integrate different disciplines (such as Statistics) and provide a meta-model platform to improve current mechanistic modeling frameworks, request new collected data, and identify critical research questions. Past papers have described in detail the upscaling methodology while our present approach is to demonstrate an important application of this methodology accompanied with statistical evidence.

show abstract

A multi-scale framework for strategic management of diffuse pollution

Cited by 44 publications

References 17 publications

Catchments, sub-catchments and private spaces: Scale and process in managing microbial pollution from source to sea

Catchments, sub-catchments and private spaces: Scale and process in managing microbial pollution from source to sea

Farm nitrogen balances in six European landscapes as an indicator for nitrogen losses and basis for improved management

Multi-scale European Soil Information System (MEUSIS): a multi-scale method to derive soil indicators

Contact Info

Product

Resources

About