Papers by Keyword: MaxEnt

Abstract: Maximum entropy (Maxent) modeling was used to predict the potential climate habitat distribution of Chinese hybrid poplar (clone I-63, I-69 and I-72). Occurrence data were collected from literatures. The Maxent model performed better than random with an average cross-validated AUC value of 0.96. Under the three future climate scenarios (emission scenarios A1B, A2 and B1), the geographic distribution of suitable habitat would shift from southwest to northeast, the suitable habitat area of scenario A1B increased most compared to other two, the ranking of the loss habitat area was scenario B1 > scenario A2 > scenario A1B, and the gain habitat area was scenario A1B > scenario A2 > scenario B1. The results of this work could be used as scientific basis for adapting and mitigating Chinese hybrid poplar planting to a climate change.

Abstract: The cassava green mite (Mononychellus mcgregori) was listed as a quarantine pest in the world. The risk of invasion of M. mcgregori was on the increasing with the development of foreign trade, especially in Guangxi province, China. Therefore the prediction of geographic distribution areas and pest risk analysis should be done urgently. In this paper potential geographic distribution areas of M. mcgregori in Guangxi were predicted with niche model MaxEnt. Through validating prediction result and analyzing technical parameter AUC-value, it is sure that niche model MaxEnt is suitable for predicting potential distribution areas of M. mcgregori in Guangxi. At the same time the useful method would be utilized to predict potential geographic distribution areas of other cassava pests.

Abstract: Novel application of Maximum Entropy method to the reconstruction of electron momentum density distribution from line projections is presented. Our new algorithm is applied to two dimensional angular correlation of annihilation radiation data in Gd. Reconstructed densities are in very good agreement with corresponding densities reconstructed by Cormack’s method.