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Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation

Author

Listed:
  • Le Ber, F.
  • Lavigne, C.
  • Adamczyk, K.
  • Angevin, F.
  • Colbach, N.
  • Mari, J.-F.
  • Monod, H.

Abstract

Neutral landscape models are not frequently used in the agronomical domain, whereas they would be very useful for studying given agro-ecological or physical processes. Contrary to ecological neutral landscape models, agricultural models have to represent and manage geometrical patches and thus should rely on tessellation methods. We present a three steps approach that aimed at simulating such landscapes. Firstly, we characterized the geometry of three real field patterns; secondly, we generated simulated field patterns with two tessellation methods attempting to control the value of some of the observed characteristics and, thirdly, we evaluated the simulated field patterns. For this evaluation, we considered that good simulated field patterns should capture characteristics of real landscapes that are important for the targeted agro-ecological process. Real landscapes and landscapes simulated using either a Voronoi or a rectangular tessellation were thus compared when used as input data within a gene flow model. The results showed that neither tessellation method captured field shapes correctly, thus leading to over or (small) under estimation of gene flow. The Voronoi tessellation, though, performed better than the rectangular tessellation. Possible research directions are proposed to improve the simulated patterns, including the use of post-processing, the control of cell orientation or the implementation of other tessellation techniques.

Suggested Citation

  • Le Ber, F. & Lavigne, C. & Adamczyk, K. & Angevin, F. & Colbach, N. & Mari, J.-F. & Monod, H., 2009. "Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation," Ecological Modelling, Elsevier, vol. 220(24), pages 3536-3545.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:24:p:3536-3545
    DOI: 10.1016/j.ecolmodel.2009.06.019
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    References listed on IDEAS

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    1. Ceddia, M. Graziano & Bartlett, Mark & Perrings, Charles, 2007. "Landscape gene flow, coexistence and threshold effect: The case of genetically modified herbicide tolerant oilseed rape (Brassica napus)," Ecological Modelling, Elsevier, vol. 205(1), pages 169-180.
    2. Castellazzi, M.S. & Wood, G.A. & Burgess, P.J. & Morris, J. & Conrad, K.F. & Perry, J.N., 2008. "A systematic representation of crop rotations," Agricultural Systems, Elsevier, vol. 97(1-2), pages 26-33, April.
    3. Colbach, Nathalie & Monod, Hervé & Lavigne, Claire, 2009. "A simulation study of the medium-term effects of field patterns on cross-pollination rates in oilseed rape (Brassica napus L.)," Ecological Modelling, Elsevier, vol. 220(5), pages 662-672.
    4. Gaucherel, C., 2008. "Neutral models for polygonal landscapes with linear networks," Ecological Modelling, Elsevier, vol. 219(1), pages 39-48.
    5. Aviron, Stephanie & Kindlmann, Pavel & Burel, Francoise, 2007. "Conservation of butterfly populations in dynamic landscapes: The role of farming practices and landscape mosaic," Ecological Modelling, Elsevier, vol. 205(1), pages 135-145.
    6. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
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    5. Bellot, Benoit & Poggi, Sylvain & Baudry, Jacques & Bourhis, Yoann & Parisey, Nicolas, 2018. "Inferring ecological processes from population signatures: A simulation-based heuristic for the selection of sampling strategies," Ecological Modelling, Elsevier, vol. 385(C), pages 12-25.

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