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首页> 外文期刊>Range Management & Agroforestry >Modeling habitat distribution of Festuca ovina-Astragalus gossypinus by using maximum entropy method in the Chaharbagh rangelands of Iran
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Modeling habitat distribution of Festuca ovina-Astragalus gossypinus by using maximum entropy method in the Chaharbagh rangelands of Iran

机译:伊朗Chaharbagh牧场的最大熵方法模型栖息地分布Festuca Ovina-Astagalus Gossypinus

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摘要

The study was aimed to estimate the geographic distribution of Festuca ovina-Astragalus gossypinus in the Chaharbagh rangeland in Golestan province by using Maximum Entropy (MaxEnt) modeling technique. Sampling of vegetation was carried out following systematic random sampling approach. Soil properties (texture, organic carbon, pH, EC and N) were determined by standard methods. Geostatistical methods were used for mapping soil properties. Environmental variable maps were prepared. The agreement of predictive map with the actual map was checked by calculating Kappa coefficient value. Accuracy of predictive models was evaluated using the area under curve (AUC). Study revealed that Jackknife method and response curve were most important methods for environmental predictor variables. Correspondence of actual map with the predictive one was at satisfactory level (Kappa coefficient=0.65). The habitat requirements of Festuca ovina-Astragalus gossypinus indicated that the highest probability of presence occurred in the soils with N (0.14-0.18%), sand (35-38%), clay (20-24%) contents and low lime (11-13%) content.
机译:该研究旨在利用最大熵(MAXENT)建模技术来估算古灵兰省Chaharbagh牧场的Festuca ovina-Astragalus Gossypinus的地理分布。通过系统随机抽样方法进行植被的采样。通过标准方法测定土壤性质(纹理,有机碳,pH,EC和N)。地质统计学方法用于映射土壤性质。制定了环境可变地图。通过计算Kappa系数值检查预测地图与实际地图的协议。使用曲线下的区域(AUC)评估预测模型的准确性。研究表明,千克方法和响应曲线是环境预测变量的最重要方法。实际地图与预测性的对应关系是令人满意的水平(κ系数= 0.65)。 Festuca ovina-Astragalus gossypinus的栖息地要求表明,N(0.14-0.18%),砂(35-38%),粘土(20-24%)含量和低石灰(11 -13%)内容。

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