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AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from CARAIB rice simulations

This data set contains output data from simulations with the model CARAIB for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from CARAIB maize simulations

This data set contains output data from simulations with the model CARAIB for maize as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from CARAIB soybean simulations

This data set contains output data from simulations with the model CARAIB for soybean as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from CARAIB spring wheat simulations

This data set contains output data from simulations with the model CARAIB for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from APSIM-UGOE winter wheat simulations

This data set contains output data from simulations with the model APSIM-UGOE for winter wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from APSIM-UGOE spring wheat simulations

This data set contains output data from simulations with the model APSIM-UGOE for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from JULES soybean simulations

This data set contains output data from simulations with the model JULES for soybean as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the WFDEI (Weedon et al. 2014) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from JULES rice simulations

This data set contains output data from simulations with the model JULES for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the WFDEI (Weedon et al. 2014) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from APSIM-UGOE rice simulations

This data set contains output data from simulations with the model APSIM-UGOE for rice as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the AgMERRA (Ruane et al. 2015) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from JULES spring wheat simulations

This data set contains output data from simulations with the model JULES for spring wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II output data set. Output variables included are: crop yield, above-ground biomass, planting day, maturity day, anthesis day, potential irrigation water withdrawal, actual growing season evapotranspiration . Simulations are based on 31-year simulations using the WFDEI (Weedon et al. 2014) data set with 4 atmospheric CO2 mixing ratios (C=360, 510, 660, 810 ppm) uniform offsets for temperature (T= -1, 0, 1, 2, 3, 4, 6 K), water (W= -50, -30, -20, -10, 0, 10, 20, 30 %, and infinite/irrigated), and 3 nitrogen input levels (N= 10, 60, 200 kgN/ha) using 2 assumptions on adaptation (A0= 'none', A1='regain original growing season').

Synchytrium endobioticum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Trond Rafoss, Gregor Urek, Dirkjan van der Gaag to the EKE and the review conducted by Jonathan Yuen.

Thaumatotibia leucotreta ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Marja van der Straten to the EKE and the review conducted by Lucia Zappalà.

Ralstonia solanacearum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.  EFSA wishes to acknowledge the contribution of   Marie-Agnes Jacques, Trond Rafoss, Gregor Urek, Dirkjan van der Gaag,  Jonathan Yuen to the EKE and the review conducted by Christian Vernière.

Popillia japonica ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Giovanni Bosio, Mariangela Ciampitti, Dirkjan van der Gaag to the EKE and the review conducted by Chris MacQuarrie.

Xanthomonas citri ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Jaime Cubero, Trond Rafoss, Christian Vernière, Antonio Vicent to the EKE and the review conducted by Marie-Agnès Jacques.

Dendrolimus sibiricus ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Trond Rafoss and Jean-Claude Gregoire to the EKE and the review conducted by Claire Rutledge.

Bursaphelenchus xylophilus ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Hugh Evans and Christer Magnusson to the EKE and the review conducted by Gregor Urek.

Ceratocystis fagacearum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Anna Maria Vettraino to the EKE and the review conducted by Christer Magnusson.

Conotrachelus nenuphar ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests

These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 on protective measures against pests of plants. Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets. EFSA wishes to acknowledge the contribution of Clement Akotsen-Mensah, Vicente Dalmau, Lluís Vila to the EKE and the review conducted by Josep Anton Jaques Miret.

Clavibacter michiganensis subsp. sepedonicus ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests