Simulating farm level response to crop diversification policy

Mahy, Louis; Dupeux, Bérénice; Huylenbroeck, Guido Van; Buysse, Jeroen

doi:10.1016/j.landusepol.2015.01.003

Cited by 27 publications

(18 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At regional to global scales, approaches to resilient food production should ensure the approaches detailed for field to farm scales are implemented widely in a coordinated fashion. While policies across the world have tended to erode farm system resilience (Anderies, Ryan & Walker 2006), new policies such as the EU's crop diversification measure could be beneficial (Mahy et al 2015). Knowledge transfer to and among farmers, building capacity and enhancing social networks may be more effective approaches, allowing farmers to self-organise to address resilience issues in an adaptive fashion (Carlisle 2014;Pelletier et al 2016), and this can be addressed by policies (Anderies et al 2013).…”

Section: Holistic Integrationmentioning

confidence: 99%

Resilience and food security: rethinking an ecological concept

et al. 2017

View full text Add to dashboard Cite

Reading RG6 6AS, UK Summary 1. Focusing on food production, in this paper we define resilience in the food security context as maintaining production of sufficient and nutritious food in the face of chronic and acute environmental perturbations. In agri-food systems, resilience is manifest over multiple spatial scales: field, farm, regional and global. Metrics comprise production and nutritional diversity as well as socioeconomic stability of food supply. 2. Approaches to enhancing resilience show a progression from more ecologically based methods at small scales to more socially based interventions at larger scales. At the field scale, approaches include the use of mixtures of crop varieties, livestock breeds and forage species, polycultures and boosting ecosystem functions. Stress-tolerant crops, or with greater plasticity, provide technological solutions. 3. At the farm scale, resilience may be conferred by diversifying crops and livestock and by farmers implementing adaptive approaches in response to perturbations. Biodiverse landscapes may enhance resilience, but the evidence is weak. At regional to global scales, resilient food systems will be achieved by coordination and implementation of resilience approaches among farms, advice to farmers and targeted research. 4. Synthesis. Threats to food production are predicted to increase under climate change and land degradation. Holistic responses are needed that integrate across spatial scales. Ecological knowledge is critical, but should be implemented alongside agronomic solutions and socio-economic transformations.

show abstract

Section: Holistic Integrationmentioning

confidence: 99%

Resilience and food security: rethinking an ecological concept

et al. 2017

View full text Add to dashboard Cite

show abstract

“…van Zeijts et al, 2011Plieninger et al, 2012;Brown and Jones, 2013) to the final adopted greening measures in 2013 (e.g. Czekaj et al, 2014;Diotallevi et al, 2015;Mahy et al, 2015). The regional scope of the studies ranges from small regions with specific conditions, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Czekaj et al, 2014;Cortignani and Dono, 2015;Solazzo and Pierangeli, 2016) or focus on selected measures (e.g. Louhichi et al, 2015 andMahy et al, 2015 for crop diversification measures). While the studies focus on aspects such as land use and profitability, other authors (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

EU‐wide Economic and Environmental Impacts of CAP Greening with High Spatial and Farm‐type Detail

Gocht¹,

Ciaian²,

Bielza³

et al. 2017

J Agricultural Economics

View full text Add to dashboard Cite

In this paper we analyse the economic and environmental impacts of CAP greening introduced by the 2013 CAP reform using the CAPRI model. CAPRI captures the farm heterogeneity across the EU and it allows to depict the implementation of the greening measures in high detail while integrating the environmental effects and the market feedback of the simulated policy changes. The simulated results reveal that the economic impacts (land use, production, price and income) of CAP greening are rather small, although some farm types, crops (fallow land and pulses) and Member States may be affected more significantly. The CAP greening will lead simultaneously to a small increase in prices and a small decrease in production. Farm income slightly increases because the price effects offset the production decline. Similarly to economic effects, the environmental impacts (GHG emissions, N surplus, ammonia emissions, soil erosion, and biodiversity-friendly farming practices) of CAP greening are small, although some regions may see greater effects than others. In general, the environmental effects at EU level are positive on a per hectare basis, but the increase in UAA can reverse the sign for total impacts. Overall, simulated GHG and ammonia emissions decrease in the EU, while the total N

show abstract

“…It will also help us to check the results of crop diversification and helps to maintain soil nutrients. [9] Crop Diversification can provide us a varied amount of food under varied weather conditions, which will result into better production. The average annual growth rate of food grain production has declined from 3.22 to 1.66 from the years 1950s to 1990s.…”

Section: Methodsmentioning

confidence: 99%

Implementation of Crop Simulation Model for Malwa Region Punjab

Kaur¹,

Cheema²

2017

International Journal of Advanced Research in Computer and Comm

View full text Add to dashboard Cite

Abstract:Crop Simulation Models helps in precision decisions in agriculture that are used to integrate various datasets through information technology in building crop production decisions. Crop Diversification is also necessary to properly utilize land resources and for increasing crop production. This model works on the idea to estimate crop production on a particular area and gives us simulated crop production on that area in specific soil and weather conditions. We have compared the results of simulation production and actual production to check the validity of the simulation model. It gives satisfactory results. This model also gives suggestions for crop diversification as it is necessary to increase income of farmers and for increasing fertility of the land. It also tells us to select appropriate crops according to the conditions of the soil. This model is specifically designed for Malwa Region, Punjab and works according to the climatic conditions of this particular area.

show abstract

Simulating farm level response to crop diversification policy

Cited by 27 publications

References 19 publications

Resilience and food security: rethinking an ecological concept

Resilience and food security: rethinking an ecological concept

EU‐wide Economic and Environmental Impacts of CAP Greening with High Spatial and Farm‐type Detail

Implementation of Crop Simulation Model for Malwa Region Punjab

Contact Info

Product

Resources

About