NDLI: Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

Content Provider	PubMed Central
Author	Hoffmann, Holger Zhao, Gang Asseng, Senthold Bindi, Marco Christian, Biernath Constantin, Julie Elsa, Coucheney Rene, Dechow Doro, Luca Eckersten, Henrik Gaiser, Thomas Grosz, Balázs Heinlein, Florian Kassie, Belay T. Kersebaum, Kurt-christian Klein, Christian Kuhnert, Matthias Lewan, Elisabet Moriondo, Marco Claas, Nendel Eckart, Priesack Raynal, Helene Roggero, Pier P. Rötter, Reimund P. Siebert, Stefan Specka, Xenia Tao, Fulu Teixeira, Edmar Giacomo, Trombi Wallach, Daniel Lutz, Weihermüller Yeluripati, Jagadeesh Ewert, Frank
Editor	Lightfoot, David A.
Copyright Year	2016
Abstract	We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by <15% when aggregating only soil data. The relative mean absolute error (rMAE) of most models using aggregated soil data was in the range or larger than the inter-annual or inter-model variability in yields. This error increased further when both climate and soil data were aggregated. Distinct error patterns indicate that the rMAE may be estimated from few soil variables. Illustrating the range of these aggregation effects across models, this study is a first step towards an ex-ante assessment of aggregation errors in large-scale simulations.
Related Links	http://dx.doi.org/10.1371/journal.pone.0151782
Starting Page	151782
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	4
Volume Number	11
Language	English
Publisher	Public Library of Science
Publisher Date	2016-04-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Impact of spatial soil and climate input data aggregation on regional yield simulations

Finite Size Effects in Simulations of Protein Aggregation

The Effects of Sub-Regional Climate Velocity on the Distribution and Spatial Extent of Marine Species Assemblages

Soil Tillage Management Affects Maize Grain Yield by Regulating Spatial Distribution Coordination of Roots, Soil Moisture and Nitrogen Status

Climate Change Impact on Neotropical Social Wasps

Impact of Shortened Crop Rotation of Oilseed Rape on Soil and Rhizosphere Microbial Diversity in Relation to Yield Decline

Climate Change and Maize Yield in Iowa

Protein High-Force Pulling Simulations Yield Low-Force Results

Assessing Uncertainty in High-Resolution Spatial Climate Data across the US Northeast

Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

Similar Documents

Impact of spatial soil and climate input data aggregation on regional yield simulations

Finite Size Effects in Simulations of Protein Aggregation

The Effects of Sub-Regional Climate Velocity on the Distribution and Spatial Extent of Marine Species Assemblages

Soil Tillage Management Affects Maize Grain Yield by Regulating Spatial Distribution Coordination of Roots, Soil Moisture and Nitrogen Status

Climate Change Impact on Neotropical Social Wasps

Impact of Shortened Crop Rotation of Oilseed Rape on Soil and Rhizosphere Microbial Diversity in Relation to Yield Decline

Climate Change and Maize Yield in Iowa

Protein High-Force Pulling Simulations Yield Low-Force Results

Assessing Uncertainty in High-Resolution Spatial Climate Data across the US Northeast

Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations