Analysis of time series data on agroecosystem vegetation using predictive clustering trees

Marko Debeljak, Geoffrey R. Squire, Dragi Kocev, Cathy Hawes, Mark W. Young and Sašo Džeroski

Ecological Modelling, 2011, vol. 222, issue 14, 2524-2529

Abstract: We present an approach to modelling interdependent types of vegetation that support different functions in a managed ecosystem. For optimal management, plants that provide economic output (e.g., crops) and those that support ecological functions (e.g., wild plants or ‘weeds’) should coexist in an agroecosystem. To make progress with understanding how such plant communities interact over time, we analyse paired time series data about the cover of crop and weed vegetation in oilseed rape fields. The percentage crop and weed cover were measured every 7–14 days at 128 sites in the UK, covering a wide range of localities and management regimes.

Keywords: Time series; Agroecology; Weeds; GM; Herbicide tolerance; Oilseed rape; Predictive clustering trees (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:222:y:2011:i:14:p:2524-2529

DOI: 10.1016/j.ecolmodel.2010.10.021

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