CropRota – A crop rotation model to support integrated land use assessments

Schönhart, Martin; Schmid, Erwin; Schneider, Uwe A.

doi:10.1016/j.eja.2011.02.004

Cited by 112 publications

(44 citation statements)

References 55 publications

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“…In our dataset, > 90% of the parcels could be re-identified from one year to the next. So, IACS offers valuable and viable insight into agricultural practice and land use (sensu Longueville et al 2007, Leteinturier et al 2006, Schönhart et al 2011). According to crop diversity, the north-western part of the study region is dominated by 1 to 2 relevant crops, which is characterized by a high share of maize in arable area.…”

Section: Discussionmentioning

confidence: 99%

“…Schmit & Rounsevell (2006) already suggested poor land use diversity when they ordered proportions of actual crop area for an adjacent Belgian region. Schönhart et al (2011) also showed extremely biased distributions of crop rotations on the basis of a crop rotation model in the Austrian Mostviertel region.…”

Section: Discussionmentioning

confidence: 99%

“…Each farmer willing to receive direct payments has to offer information on field size and crops grown on each field in every year of participation. First attempts of studying this type of data were made by Leteinturier et al (2006) in the Wallon region (Belgium) and Schönhart et al (2011) in the Mostviertel region (Austria). Nitsch et al (2012) demonstrated the informational surplus on the basis of grassland transition in Germany.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal analysis of crop rotations and crop sequence patterns in Northern Germany: potential implications on plant health and crop protection

Steinmann

Dobers²

2013

J Plant Dis Prot

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Crop sequence patterns are considered as those schemes farmers apply within a single field to succeed crops over time, regardless of whether the same crop is grown continuously or a diverse rotation is used. This study aimed at identifying these patterns for a large and representative area in Northern Germany during a six-year period from 2005 to 2010. The analysis was carried out for the entire federal state of Niedersachsen (Lower Saxony) which has 1.8 million hectares of arable area.Field data was obtained by the Integrated Administration and Control System (IACS), which was developed for the administration of the European agricultural direct payments. So far, German IACS has not been exploited in the light of agronomical practice. In total, the available data comprised about 990 000 records for each year, each representing a single field out of the study region. Throughout the analysis, different agronomic and temporal scopes resulted in a different number of fields being accessible for evaluation. Ten major arable crops and crop groups were considered for the study; 184 701 fields representing 645 870 ha of arable area could be analyzed to identify crop sequence patterns over the six years. Thus, 16 836 combinations of the 10 major crops occurring in time and space could be described. Thereof, 12 crop sequence patterns were found covering 55.6% of arable area. For 2010, 619 447 fields representing 1 730 564 ha of arable area, were analyzed with regard to their respective crops and pre-crops. Maize, winter wheat, sugar beet, oilseed rape and potatoes were studied with special emphasis. On average, 46.9% of maize area were cropped following maize as a pre-crop. For winter wheat, self-sequences were identified on 30.0% of arable area. Oilseed rape and sugar beet are generally grown in typical rotations. However, 24.6% of arable crop area were considered as having a pre-crop which might be disadvantageous for crop health.Due to a rapid increase of maize area in the region, crop sequence patterns are undergoing a dramatic shift. It is concluded that a large proportion of arable area is potentially threatened by risks of pest and disease outbreaks as well as by economical over-reliance in a few cash crops. We demonstrate, that administrative data could offer many insights in agronomical trends and practices and should, therefore, be analyzed in more detail.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal analysis of crop rotations and crop sequence patterns in Northern Germany: potential implications on plant health and crop protection

Steinmann

Dobers²

2013

J Plant Dis Prot

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“….g. Pretzsch et al 2002 for forest models; Schönhart et al 2011b for agriculture), but they cannot take into account lateral interactions and larger-scale processes. Benefi t could be taken from river basin modeling, where this is already done by generating topological routing schemes between model entities (JAMS/J2000; Pfennig et al 2009 ).…”

Section: Discussion -Applicability Of the Frameworkmentioning

confidence: 99%

Assessing the Impact of Land-Use Changes on Providing Hydrological Ecosystem Functions (ESF) and Services (ESS) – A Case-Study Experience Based Conceptual Framework

Fürst

Flügel

2015

Ecosystem Services and River Basin Ecohydrology

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In this chapter, requirements for and lessons learnt from assessing the impact of land use and land cover change (LULCC) on the provision of hydrological ecosystem functions (ESF) and services (ESS) are demonstrated based on selected case studies. First, potentials, limits and transferability of a detailed land classifi cation scheme developed for Germany are explored. Second, an approach how to make use of landscape metrics to correct the assessment of ESF and ESS provision in LULCC impact assessment is presented to better account for land-use pattern heterogeneity. Third, the potential of Hydrological Response Units (HRU) to bridge scale-related discrepancies between modeling, assessment and decision units is discused. Finally, a conceptual framework approach is suggested that builds on the HRU concept and merges the latter with a cellular automaton based LULCC impact assessment framework.

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“…Soil data are extracted from [41] and contain soil layer specific contents of silt, sand and clay, humus, pH, calcium carbonate, and coarse fragments. Up to 25 crop rotation systems per municipality have been derived with the CropRota model [42] using historical land use data of 22 crops [32]. These crops, respectively crop rotations, cover about 89% of total arable land in Austria.…”

Section: Dry Day Indexmentioning

confidence: 99%

Spatially Explicit Modeling of Long-Term Drought Impacts on Crop Production in Austria

Strauss¹,

Moltchanova²,

Schmid³

2013

AJCC

Self Cite

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Droughts have serious and widespread impacts on crop production with substantial economic losses. The frequency and severity of drought events may increase in the future due to climate change. We have developed three meteorological drought scenarios for Austria in the period 2008-2040. The scenarios are defined based on a dry day index which is combined with bootstrapping from an observed daily weather dataset of the period 1975-2007. The severity of long-term drought scenarios is characterized by lower annual and seasonal precipitation amounts as well as more significant temperature increases compared to the observations. The long-term impacts of the drought scenarios on Austrian crop production have been analyzed with the biophysical process model EPIC (Environmental Policy Integrated Climate). Our simulation outputs show that-for areas with historical mean annual precipitation sums below 850 mmalready slight increases in dryness result in significantly lower crop yields i.e. depending on the drought severity, between 0.6% and 0.9% decreases in mean annual dry matter crop yields per 1.0% decrease in mean annual precipitation sums. The EPIC results of more severe droughts show that spring and summer precipitation may become a limiting factor in crop production even in regions with historical abundant precipitation.

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CropRota – A crop rotation model to support integrated land use assessments

Cited by 112 publications

References 55 publications

Spatio-temporal analysis of crop rotations and crop sequence patterns in Northern Germany: potential implications on plant health and crop protection

Spatio-temporal analysis of crop rotations and crop sequence patterns in Northern Germany: potential implications on plant health and crop protection

Assessing the Impact of Land-Use Changes on Providing Hydrological Ecosystem Functions (ESF) and Services (ESS) – A Case-Study Experience Based Conceptual Framework

Spatially Explicit Modeling of Long-Term Drought Impacts on Crop Production in Austria

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