首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >REVERSE CASTING TAIWAN RED CYPRESS DISTRIBUTION IN CENTRAL TAIWAN FROM TOPOGRAPHIC SHELTERING EFFECTS OF TAIWAN FIR IN HOHUAN MOUNTAINS
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REVERSE CASTING TAIWAN RED CYPRESS DISTRIBUTION IN CENTRAL TAIWAN FROM TOPOGRAPHIC SHELTERING EFFECTS OF TAIWAN FIR IN HOHUAN MOUNTAINS

机译:逆转铸造台湾红色柏树在台湾中部地形避难所在地川山区

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Ecological niche modeling (ENM) coupled with 3S has become increasingly important for environment monitoring. Chamaecyparis formosensis (Taiwan red cypress, TRC) only grows in Huisun's Shou-Cheng Mountain. We used GIS to overlay physiographic variables and vegetation index with TRC samples. We developed ENMs by using generalized linear model (GLM), maximum likelihood (ML), maximum entropy (MAXENT) and BIOCLIM. Results indicated that the accuracies of four models increased linearly with the sample size and also the mean kappa value of SPA methods (0.95) was better than that of SPO methods (0.85) for predicting the suitable habitat of TRC forests in the study. The variables used except elevation could not reflect the relationship between humidity and topographic sheltering characteristics (wind). Hence, we proposed a hypothesis: northeastern seasonal wind with humidity cannot fully blow into Huisun due to its topographic sheltering effects. We will attempt to incorporate proxy indicators of wind and humidity into models.
机译:与3S相结合的生态利基造型(ENM)对环境监测越来越重要。 Chamaecyparis Formosensis(台湾红赛普拉斯,TRC)只生长在惠坤的寿城山。我们使用GIS覆盖与TRC样品的地质变量和植被指数。我们通过使用广义线性模型(GLM),最大可能性(ML),最大熵(MAXENT)和BIOClim来开发enm。结果表明,四种模型的精度随着样品尺寸线性而增加,并且SPA方法的平均κ值(0.95)优于SPO方法(0.85),以预测研究中的合适栖息地的SPO方法(0.85)。除了高度外,使用的变量无法反映湿度和地形避难特性(风)之间的关系。因此,我们提出了一个假设:由于其地形保护效果,东北季节风湿度不能完全吹入Huisun。我们将尝试将风和湿度的代理指标纳入模型。

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