| 李玉勤,李博群.基于 MaxEnt 模型预测云南橡胶树空间分布的可靠性验证[J].林业调查规划,2026,51(1):140-145 |
| 基于 MaxEnt 模型预测云南橡胶树空间分布的可靠性验证 |
| Verifying Reliability of Predicting Spatial Distribution of Hevea brasiliensis Based on MaxEnt Model |
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| DOI： |
| 中文关键词: 橡胶树 适生区分布 可靠性验证 环境因子 最大熵模型(MaxEnt) |
| 英文关键词: Hevea brasiliensis distribution of suitable habitat verifying reliability environmental fator maximum entropy model (MaxEnt) |
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| 中文摘要: |
| 最大熵模型(MaxEnt)已被广泛应用于预测物种的潜在分布区,以往的研究都是采用部分样本地理分布点位数据来预测该物种的潜在分布区,但预测结果的准确性无法得到完整的验证。选用云南省139 个橡胶树样本分布点和22 个环境变量因子,利用MaxEnt模型生成云南省橡胶树适生区范围,采用该范围与云南省现有橡胶种植区叠加分析,验证使用MaxEnt 模型预测物种空间分布的可靠性。结果表明,采用橡胶树分布点抽样数据,使用MaxEnt模型预测的橡胶树高适生区范围与现地调查的云南省现有橡胶种植区范围几乎重叠。表明使用MaxEnt模型预测物种空间分布是可靠的。 |
| 英文摘要: |
| Maximum entropy model (MaxEnt) has been widely used to predict the potential distribution
areas of species. However, previous studies typically relied on partial sample distribution data to predict
potential habitats, rendering the accuracy of predictions difficult to fully verify. In this experiment, 139
sample distribution points and 22 environmental variable factors of Hevea brasiliensis in Yunnan Province
were used. The MaxEnt model was used to generate suitable habitat range of Hevea brasiliensis in Yunnan
Province, and then overlaid with the existing cultivation areas for analysis. The reliability of predicting
species distribution by MaxEnt model was verified. The results indicated that the highly suitable habitat
range predicted by the MaxEnt model using the sampled distribution data almost completely overlapped
with the range of existing cultivation areas identified through field surveys. This indicates that using the
MaxEnt model to predict the spatial distribution of species is reliable. |
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