Pollen dispersal of oilseed rape: estimation of the dispersal function and effects of field dimension

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DOI: 10.1111/j.1365-2664.2005.01108.x Publication Date: 2005-12-20T16:52:08Z
ABSTRACT
Summary Debate continues regarding the ecological impacts of genetically modified (GM) crops and their coexistence with non‐GM in Europe. In this debate, quantitative predictions gene dispersal by pollen are necessary, as a result numerous plot‐to‐plot flow experiments have been performed various crops. However, cross‐pollination rates (CPR) depend on spatial configuration plots, implying that (i) they difficult to compare among (ii) functions directly fitted CPR data inappropriate for other contexts. Modelling via an individual function (IDF) circumvents these problems accounting designs. We detail oilseed rape how approach can be used both estimate IDF from field predict between two neighbouring fields sizes shapes. Predictions were investigate sensitivity family IDF, uncertainty parameter estimates effects dimensions isolation distances. range families including several types tails, previously published data. The best was fat‐tailed power‐law function, meaning frequent long‐distance dispersal. choice appeared crucial when predicting fields, occasionally being even more important than distance fields. Width source depth recipient next importance. When approximated calculated without considering dimensions, using centres gave better performance margins. Synthesis applications. This study demonstrates value variable configurations. A spatially explicit model agro‐ecosystems define management rules commercial release GM Europe already employs but underestimates rape. These new will refine models. Moreover, detailed guidelines estimating should encourage such statistical analysis data, enabling comparisons obtained different environments species providing
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