Reconciling technical, economic and environmental efficiency of farming systems in vulnerable areas

Moreau, Pierre; Ruiz, Laurent; Mabon, Flavie; Raimbault, Thierry; Durand, Patrick; Delaby, Luc; Devienne, Sophie; Vertès, Françoise

doi:10.1016/j.agee.2011.06.005

Cited by 44 publications

(24 citation statements)

References 42 publications

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“…The low-input systems are considered more economically and environmentally sustainable than the highinput systems (O'Brien et al, 2012;Ridler, 2008) as they are less vulnerable to volatility in input expenditures and output prices (Humphreys et al, 2012;Moreau et al, 2012) and are associated with lower farm nutrient balances Ledgard et al, 2009).…”

Section: Introductionmentioning

confidence: 98%

Economic impacts of nitrogen and phosphorus use efficiency on nineteen intensive grass-based dairy farms in the South of Ireland

Mihailescu

Ryan

Murphy

et al. 2015

Agricultural Systems

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Section: Introductionmentioning

confidence: 98%

Economic impacts of nitrogen and phosphorus use efficiency on nineteen intensive grass-based dairy farms in the South of Ireland

Mihailescu

Ryan

Murphy

et al. 2015

Agricultural Systems

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“…Thereby, the discrimination of grassland management practices is dependent to image acquisition dates. Figure 12, which illustrates the spatial distribution of these two types of grassland management at the watershed scale, shows that grazing is the predominant use on the studied area, which was confirmed by the information collected during field campaigns, and expert knowledge from the Acassya program (Moreau et al 2012). Thus, a quite simple classification based on satellite images such as SPOT can discriminate two of the three types of grassland management practices.…”

Section: Agricultural Practicesmentioning

confidence: 74%

“…To understand the role of farming systems and agricultural practices in nutrient losses, this area has been intensively monitored since the 1990s, and many studies have been realized to observe and understand the watershed functioning (Corgne et al 2002). High nitrogen rates in rivers were largely due to conversion of grasslands first from perennial to annual cover and then to croplands and pastures and excessive fertilization, which have been observed for several years on this site, as described by Moreau et al (2012). The consequences on environmental and economic activities have led the authorities to make decisions to restore water quality and reduce green algae development.…”

Section: Study Sitementioning

confidence: 97%

Agricultural practices in grasslands detected by spatial remote sensing

Dusseux

Vertès²,

Corpetti

et al. 2014

Environ Monit Assess

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The major decrease in grassland surfaces associated with changes in their management that has been observed in many regions of the earth during the last half century has major impacts on environmental and socio-economic systems. This study focuses on the identification of grassland management practices in an intensive agricultural watershed located in Brittany, France, by analyzing the intra-annual dynamics of the surface condition of vegetation using remotely sensed and field data. We studied the relationship between one vegetation index (NDVI) and two biophysical variables (LAI and fCOVER) derived from a series of three SPOT images on one hand and measurements collected during field campaigns achieved on 120 grasslands on the other. The results show that the LAI appears as the best predictor for monitoring grassland mowing and grazing. Indeed, because of its ability to characterize vegetation status, LAI estimated from remote sensing data is a relevant variable to identify these practices. LAI values derived from the SPOT images were then classified based on the K-Nearest Neighbor (KNN) supervised algorithm. The results points out that the distribution of grassland management practices such as grazing and mowing can be mapped very accurately (Kappa index = 0.82) at a field scale over large agricultural areas using a series of satellite images.

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“…The use of multiyear averages and considering production over several years is necessary to account for interannual yield variability and crop rotation effects (Preissel, Reckling, Schläfke, & Zander, 2015;Zhang et al, 2017). (Pascual, Villar, & Rufat, 2016;Wei et al, 2016;Zhao et al, 2010), benefit-cost ratio (Alam et al, 2017;Moreau et al, 2012;Rehman, Farrukh In most cases, increased efficiency aligns with targets set by society or policy targets (e.g., European Commission, 2011; General Assembly, 2015). However, being too efficient is also possible.…”

Section: Resource Use Efficiencymentioning

confidence: 99%

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

et al. 2018

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Bioeconomy strategies have been adopted in many countries around the world. Their sustainable implementation requires a management of soils that maintains soil functions and avoids land degradation. Only then, ecosystem services can be maintained and resources used efficiently. We present an analytical framework for impact assessment that links policy and technology driving forces for soil management decisions to soil processes, soil functional changes, and their impacts on ecosystem services and resource use efficiency, both being targets that have been set by society and are anchored in bioeconomy policy strategies and sustainable development goals. Although the resource use efficiency concept has a long-term tradition, most studies of agricultural management do not address the role of soils in their efficiency assessment. The concept of ecosystem services has received increasing attention over the last years; however, its link to soil functions and soil management practices is still not well established. This study is the first to conceptually link the socioeconomic processes of external drivers for soil management with the natural processes of soil functions and connect them back to impacts on the social system. Application of the framework helps strengthen the science-policy interface and to systemically assess and compare the opportunities and threats of soil management practices from the perspective of goals set by society at different spatial and temporal scales. Insights gained in this way can be applied in stakeholder decisionmaking processes and used to inform the design of governance instruments aimed at sustainable soil management within a bioeconomy. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Reconciling technical, economic and environmental efficiency of farming systems in vulnerable areas

Cited by 44 publications

References 42 publications

Economic impacts of nitrogen and phosphorus use efficiency on nineteen intensive grass-based dairy farms in the South of Ireland

Economic impacts of nitrogen and phosphorus use efficiency on nineteen intensive grass-based dairy farms in the South of Ireland

Agricultural practices in grasslands detected by spatial remote sensing

Managing soil functions for a sustainable bioeconomy—Assessment framework and state of the art

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