Key weather extremes affecting potato production in The Netherlands
This dataset contains the underlying data for the study: Van Oort, P. A. J., B. G. H. Timmermans, H. Meinke, and M. K. Van Ittersum. "Key weather extremes affecting potato production in The Netherlands." European Journal of Agronomy 37, no. 1 (2012): 11-22. http://dx.doi.org/10.1016/j.eja.2011.09.002 The possible impact of climate change on frequency and severity of weather extremes is hotly debated among climate scientists. Weather extremes can have a significant impact on agricultural production, but their effect is often unclear; this due to interaction with other factors that affect yield... Mehr ...
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Dokumenttyp: | Dataset |
Erscheinungsdatum: | 2013 |
Verlag/Hrsg.: |
Wageningen UR ( WUR )
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Schlagwörter: | Life sciences / medicine and health care / Environmental studies / Climatic variability / Climate change / Weather extremes / Potato / Solanum tuberosum / Planting date / Harvesting problems / Sugar beet / Winter wheat / Agriculture |
Sprache: | Englisch Niederländisch |
Permalink: | https://search.fid-benelux.de/Record/base-27571658 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://nbn-resolving.org/urn:nbn:nl:ui:13-huy3-tl |
This dataset contains the underlying data for the study: Van Oort, P. A. J., B. G. H. Timmermans, H. Meinke, and M. K. Van Ittersum. "Key weather extremes affecting potato production in The Netherlands." European Journal of Agronomy 37, no. 1 (2012): 11-22. http://dx.doi.org/10.1016/j.eja.2011.09.002 The possible impact of climate change on frequency and severity of weather extremes is hotly debated among climate scientists. Weather extremes can have a significant impact on agricultural production, but their effect is often unclear; this due to interaction with other factors that affect yield and due to lack of precise definitions of relevant weather extremes. We show that an empirical analysis of historical yields can help to identifying such rare, high impact climate events. A reconstructed time series of ware potato production in Flevoland (The Netherlands) over the last 60 years (1951–2010) enabled us to identify the two main yield affecting weather extremes. In around 10% of the years yield anomalies were larger than −20%. We found that these anomalies could be explained from two weather extremes (and no other), namely a wet start of the growing season and wet end of the growing season. We derived quantitative, meteorological definitions of these extremes. Climate change scenarios for 2050 show either no change or increased frequency of the two extremes. We demonstrate there is large uncertainty about past and future frequencies of the extremes, caused by a lack of sufficiently long historical weather records and uncertainties in climate change projections on precipitation. The approach to identify weather extremes presented here is generally applicable and shows the importance of long term crop and weather observations for investigating key climatic risks to production.