Statistical crop models: Predicting the effects of temperature and precipitation changes

Climate Research

Volumn 51, Issue 1, 2012, Pages 11-21

  Holzkamper A ^a   Calanca, P ^a   Fuhrer, J ^a  

^a AGROSCOPE RECKENHOLZ TÄNIKON RESEARCH STATION ART   (Switzerland)

Author keywords

Climate change; CropSyst; Impact assessment; LARS WG; Statistical crop model

Indexed keywords

BENEFICIAL EFFECTS; CLIMATE PARAMETERS; CLIMATE SCENARIOS; CLIMATE VARIABILITY; CLIMATE VARIABLES; CROP GROWTH AND YIELDS; CROP MODEL; CROPSYST; DATA REQUIREMENTS; DISAGGREGATION; EFFECTS OF TEMPERATURE; GRAIN YIELD; IMPACT ASSESSMENTS; IMPACT MODEL; LARS-WG; OBSERVED DATA; OVERFITTING; PERFECT MODEL; PRECIPITATION CHANGE; PREDICTIVE CAPABILITIES; PREDICTOR VARIABLES; REASONABLE ACCURACY; SAMPLE SIZES; STATISTICAL CROP MODEL; STATISTICAL MODELS; TEMPORAL AGGREGATION; TIME INTERVAL;

CLIMATE CHANGE; CROPS; FORECASTING; STATISTICS; TEMPERATURE;

CLIMATE MODELS;

ACCURACY ASSESSMENT; AGRICULTURAL MODELING; CLIMATE CHANGE; CROP YIELD; DATA SET; MAIZE; PRECIPITATION (CLIMATOLOGY); PREDICTION; SAMPLING; TEMPERATURE EFFECT; YIELD RESPONSE;

ZEA MAYS;

EID: 84856143227     PISSN: 0936577X     EISSN: 16161572     Source Type: Journal    
DOI: 10.3354/cr01057     Document Type: Article

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