中国梭梭属植物历史分布格局及其驱动机制

张丹, 马松梅, 魏博, 王春成, 张林, 闫涵

Historical distribution pattern and driving mechanism of Haloxylon in China

Dan Zhang, Songmei Ma, Bo Wei, Chuncheng Wang, Lin Zhang, Han Yan

图1 不同模型预测精度评价。ANN: 人工神经网络; CTA: 分类树分析; FDA: 柔性判别分析; GAM: 广义相加模型; GBM: 推进式回归树; GLM: 广义线性模型; MaxEnt: 最大熵模型; RF: 随机森林; SRE: 表面分布区分室模型; AUC: 特征曲线下的面积; TSS: 真实技巧统计值。

Fig. 1 Evaluation of prediction results of different models. ANN, Artificial neural networks; CTA, Classification tree analysis; FDA, Flexible discriminant analysis; GAM, Generalized additive models; GBM, Generalized boosted models; GLM, Generalized linear models; MaxEnt, Maximum entropy; RF, Random forests; SRE, One rectilinear envelope similar to bioclim; AUC, Area under the curve; TSS, True skill statistics.