A novel indicator of environmental risks due to nitrogen management on grasslands

Pervanchon, Frank; Bockstaller, Christian; Amiaud, Bernard; Peigné, Joséphine; Bernard, Pierre-Yves; Vertès, Françoise; Fiorelli, Jean-Louis; Plantureux, Sylvain

doi:10.1016/j.agee.2004.06.001

Cited by 22 publications

(20 citation statements)

References 46 publications

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“…Application of Nitrogen Surplus in practice is, however, hampered by several limitations. Limited availability of data on N concentration of inputs (feeds) and outputs (manure, crops) restricts proper quantification (Mulier et al, 2003), uncertainties are not reported Pervanchon et al, 2005), while the surplus is sensitive to changes in farm stocks (manure, feed) or farm structure . Moreover, and more relevant to the situation in The Netherlands, the relation between Nitrogen Surplus on the one hand and environmental quality, especially Groundwater Nitrate Concentration, is less clear than assumed as is discussed by Sonneveld and Bouma (2003), Schro¨der et al (2003), and Oborn et al (2003).…”

Section: Discussionmentioning

confidence: 99%

“…No doubt, more requirements can be listed. Without claiming to be exhaustive, we conclude that AEIs should (i) refer to relevant issues, (ii) be based on sound science, (iii) be quantifiable, (iv) be relevant for target groups involved, (v) be easy to interpret, (vi) be cost-effective, and (vii) facilitate communication (adapted and modified from OECD, 2001OECD, , 2002Langeveld et al, 2002b;Schro¨der et al, 2004;Zalidis et al, 2004;Pervanchon et al, 2005).…”

Section: Policy Makers and Researchersmentioning

confidence: 97%

“…Nitrogen Use Efficiency has been used in countries like The Netherlands , Italy (Sacco et al, 2003), Hungary (Ne´meth, 1995), Denmark (Kristensen and Thorup-Kristensen, 2004), Sweden (Koivunen and Horwath, 2005), Poland (Langeveld and Overbosch, 1996) and Lithuania (Kutra and Aksomaitiene, 2003), while applications of Residual Soil Mineral Nitrogen have been reported for France (Pervanchon et al, 2005), The Netherlands (Verhagen and Bouma, 1999;Langeveld et al, 2002a), Denmark (Kristensen and Thorup-Kristensen, 2004), Germany (Wachendorf et al, 2004), Lithuania (Kutra and Aksomaitiene, 2003), and Sweden (Helander and Delin, 2004). Groundwater Nitrate Concentration has been used in countries like Germany (Wachendorf et al, 2004), France (Pervanchon et al, 2005) and The Netherlands .…”

Section: Introductionmentioning

confidence: 97%

“…Agri-environmental indicators (AEIs) are excellent vehicles to provide the information needed in all these cases. We define AEIs as simplified concepts that describe the effect of farm management on the environment and are used as vehicles for communication (OECD, 2001;Buchs, 2003) and research (Schloter et al, 2003;Schils et al, 2005;Pervanchon et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluating farm performance using agri-environmental indicators: Recent experiences for nitrogen management in The Netherlands

Langeveld

Verhagen

Neeteson

et al. 2007

Journal of Environmental Management

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Section: Discussionmentioning

confidence: 99%

Section: Policy Makers and Researchersmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating farm performance using agri-environmental indicators: Recent experiences for nitrogen management in The Netherlands

Langeveld

Verhagen

Neeteson

et al. 2007

Journal of Environmental Management

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“…Since most of indicator outputs were qualitative, and following Brown et al (2002), we ran the comparison with classes of measurements and indicator output. Like Pervanchon et al (2005) we worked with five classes to identify a possible qualitative relation between transfer measurements and indicator outputs. Measured variables were divided into five classes that were equivalent for fd1: each class corresponding to a range of 20%.…”

Section: Correlation Testmentioning

confidence: 99%

Predictive quality of 26 pesticide risk indicators and one flow model: A multisite assessment for water contamination

Pierlot

Marks-Perreau

Real

et al. 2017

Science of The Total Environment

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• Information on predictive quality of pesticide risk indicators is scarce • Outputs of 26 indicators and 1 model were compared to pesticide measurements in water • 3 comparison tests were performed for a dataset of 1040 measurements from 3 sites • Predictive quality was low to medium for the indicators and acceptable for the model • The model and indicators with medium predictive quality can be recommended for use Stakeholders need operational tools to assess crop protection strategies in regard to environmental impact. The need to assess and report on the impacts of pesticide use on the environment has led to the development of numerous indicators. However, only a few studies have addressed the predictive quality of these indicators. This is mainly due to the limited number of datasets adapted to the comparison of indicator outputs with pesticide measurement. To our knowledge, evaluation of the predictive quality of pesticide indicators in comparison to the quality of water as presented in this article is unprecedented in terms of the number of tested indicators (26 indicators and the MACRO model) and in terms of the size of datasets used (data collected for 4 transfer pathways, 20 active ingredients (a.i.) for a total of 1040 comparison points). Results obtained on a.i. measurements were compared to the indicator outputs, measured by: (i) correlation tests to identify linear relationship, (ii) probability tests comparing measurements with indicator outputs, both classified in 5 classes, and assessing the probability i.e. the percentage of correct estimation and overestimation (iii) by ROC tests estimating the predictive ability against a given threshold. Results showed that the correlation between indicator outputs and the observed transfers are low (r b 0.58). Overall, more complex indicators taking into account the soil, the climatic and the G R A P H I C A L A B S T R A C T a b s t r a c t a r t i c l e i n f o Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v environmental aspects yielded comparatively better results. The numerical simulation model MACRO showed much better results than those for indicators. These results will be used to help stakeholders to appropriately select their indicators, and will provide them with advice for possible use and limits in the interpretation of indicator outputs.

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IN‐Palm: An agri‐environmental indicator to assess nitrogen losses in oil palm plantations

et al. 2020

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Oil palm (Elaeis guineensis Jacq.) is currently cultivated on 19 million ha, and palm oil represents more than one-third of the global vegetable oil market. Addition of nitrogen (N) via legume cover crop and fertilizers is a common practice in industrial oil palm plantations, however, there is a tendency for N loss, thus contributing significantly to environmental effects. To improve the sustainability of palm oil production, it is crucial to determine which management practices minimize N losses.Continuous field measurements would be cost-prohibiting as a monitoring tool, and in the case of oil palm, available models do not account for all the potential nitrogen inputs and losses or management practices. In this context, we developed IN-Palm, a model to help managers and scientists estimate N losses to the environment and identify best management practices. The main challenge was to build the model in a context of knowledge scarcity. Given these objectives and constraints, we developed an agri-environmental indicator, using the INDIGO method and fuzzy decision trees. We validated the N leaching module of IN-Palm against field data from Sumatra, Indonesia. IN-Palm is implemented in an Excel file and uses 21 readily available input variables to compute 17 modules. It estimates annual emissions and scores for each N-loss pathway and provides recommendations to reduce N losses.IN-Palm predictions of N leaching were acceptable according to several statistics, with a tendency to underestimate nitrogen leaching. Thus, we highlighted necessary improvements to increase IN-Palm precision before use in plantations.

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A novel indicator of environmental risks due to nitrogen management on grasslands

Cited by 22 publications

References 46 publications

Evaluating farm performance using agri-environmental indicators: Recent experiences for nitrogen management in The Netherlands

Evaluating farm performance using agri-environmental indicators: Recent experiences for nitrogen management in The Netherlands

Predictive quality of 26 pesticide risk indicators and one flow model: A multisite assessment for water contamination

IN‐Palm: An agri‐environmental indicator to assess nitrogen losses in oil palm plantations

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