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  The Crop Generator: Implementing crop rotations to effectively advance eco-hydrological modelling

Sietz, D., Conradt, T., Krysanova, V., Hattermann, F. F., Wechsung, F. (2021): The Crop Generator: Implementing crop rotations to effectively advance eco-hydrological modelling. - Agricultural Systems, 193, 103183.
https://doi.org/10.1016/j.agsy.2021.103183

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25975 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25975_2
Genre: Journal Article

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sietz_etal_2021__Crop Generator__Implementing crop rotations to effectively advance eco-hydrological modelling.pdf (Publisher version), 9MB
 
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 Creators:
Sietz, Diana1, Author
Conradt, Tobias1, Author
Krysanova, Valentina1, Author
Hattermann, Fred F.1, Author
Wechsung, Frank1, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: CONTEXT: Crop rotations considerably affect the hydrological regime of river basins used for agricultural production and are key for sustainable land and water management. However, eco-hydrological modelling usually neglects crop rotations.OBJECTIVE: In this paper, we present a Crop Generator to reproduce the stochastic characteristics of crop rotations at regional scale. METHODS: The Crop Generator emulates farmers’ decision making on crop rotation planning. We combined the Crop Generator with the eco-hydrological Soil and Water Integrated Model to show the hydrological relevance of considering crop rotations in a study region in central Europe including the Elbe River basin. RESULTS AND CONCLUSIONS: A spatial validation showed that the Crop Generator reproduced the given cropping patterns well. Higher daily discharge, runoff and groundwater seepage and lower evapotranspiration were simulated based on crop rotations compared with a simplified representation of cropping patterns. The Crop Generator is a solution to simulate more realistic cropping patterns in large-scale eco-hydrological modelling. It closes the gap between aggregated agricultural statistics and the requirement of representing crop rotations in a realistic way in eco-hydrological modelling.SIGNIFICANCE: The Crop Generator enables smart projections of future adjustments in crop rotations in view of climate and socio-economic changes as a basis for improving eco-hydrological projections and designing more sustainable agricultural systems.

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 Dates: 2021-07-232021-10-15
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.agsy.2021.103183
MDB-ID: yes - 3272
PIKDOMAIN: RD2 - Climate Resilience
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD1 - Earth System Analysis
Working Group: Hydroclimatic Risks
Research topic keyword: Attribution
Research topic keyword: Food & Agriculture
Research topic keyword: Freshwater
Research topic keyword: Land use
Regional keyword: Europe
Model / method: Open Source Software
Model / method: Research Software Engineering (RSE)
Model / method: SWIM
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Title: Agricultural Systems
Source Genre: Journal
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Pages: - Volume / Issue: 193 Sequence Number: 103183 Start / End Page: 103183 Identifier: ISSN: 0308521X