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Fig. 1. Global risk of establishment of codling moth using MaxEnt model.
From: Assessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models J Econ Entomol. 2015;108(4): doi: /jee/tov166 J Econ Entomol | © The Authors Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please
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Fig. 2. Global risk of establishment of codling moth using CLIMEX model.
From: Assessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models J Econ Entomol. 2015;108(4): doi: /jee/tov166 J Econ Entomol | © The Authors Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please
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Fig. 3. Relative importance of the environmental variables based on the jackknife test. The figures show each variable’s contribution to (A) regularized training gain, and (B) AUC in codling moth model. From: Assessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models J Econ Entomol. 2015;108(4): doi: /jee/tov166 J Econ Entomol | © The Authors Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please
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Fig. 4. Response curves of the best predictors of codling moth in the best model; (A) mean annual temperature (bio1; °C), (B) Latitude (degree decimal), (C) precipitation of coldest quarter (bio19; mm), and (D) mean diurnal range in temperature (bio2; °C). From: Assessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models J Econ Entomol. 2015;108(4): doi: /jee/tov166 J Econ Entomol | © The Authors Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please
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