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Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)

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  • Fargue-Lelièvre, A.
  • Le Cœur, D.
  • Baudry, J.

Abstract

Several studies have proven the importance of field margins in sustaining biodiversity and other work has been done on the effect of field management on field margin flora. However few models have been built to predict the effects of field management on the flora. Our project addresses this need for a model capable of predicting the effect of cropping techniques and their timing on the flora of field margins. Primula vulgaris is a biodiversity indicator, characteristic of undisturbed flora and found in field margins and woodlands: its population has been declining for several years. We created a temporal matrix model of P. vulgaris populations on field margins, taking into account the effects of field, field margin and roadside management based on literature and expert knowledge. We then analysed its sensitivity to demographic parameters by comparing lambda (growth rate) sensitivity and elasticity. We compared the management parameter effect using the relative growth rate of the population after 6years of simulation. Sensitivity analysis to biological parameters showed the importance of adult survival and seed production and germination. Results show that P. vulgaris is particularly sensitive to broad-spectrum herbicides and that other management techniques like early mowing, scything and scrub-killer (diluted broad-spectrum herbicide or specific herbicide) are less aggressive. Our simulations show that management of cash crops in Brittany is too aggressive for P. vulgaris populations and that 4–5years of grassland in the adjacent field are necessary to maintain populations.

Suggested Citation

  • Fargue-Lelièvre, A. & Le Cœur, D. & Baudry, J., 2011. "Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)," Ecological Modelling, Elsevier, vol. 222(4), pages 1002-1015.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:4:p:1002-1015
    DOI: 10.1016/j.ecolmodel.2010.11.025
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    References listed on IDEAS

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    1. Aggarwal, P.K. & Banerjee, B. & Daryaei, M.G. & Bhatia, A. & Bala, A. & Rani, S. & Chander, S. & Pathak, H. & Kalra, N., 2006. "InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model," Agricultural Systems, Elsevier, vol. 89(1), pages 47-67, July.
    2. Kropff, M. J. & Bouma, J. & Jones, J. W., 2001. "Systems approaches for the design of sustainable agro-ecosystems," Agricultural Systems, Elsevier, vol. 70(2-3), pages 369-393.
    3. Aggarwal, P.K. & Kalra, N. & Chander, S. & Pathak, H., 2006. "InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description," Agricultural Systems, Elsevier, vol. 89(1), pages 1-25, July.
    4. Sebert-Cuvillier, Emmanuelle & Paccaut, Frédéric & Chabrerie, Olivier & Endels, Patrick & Goubet, Olivier & Decocq, Guillaume, 2007. "Local population dynamics of an invasive tree species with a complex life-history cycle: A stochastic matrix model," Ecological Modelling, Elsevier, vol. 201(2), pages 127-143.
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