| 张华峰.珍稀濒危物种金斑喙凤蝶在我国潜在适生区预测[J].井冈山大学自然版,2023,44(3):56-62 |
| 珍稀濒危物种金斑喙凤蝶在我国潜在适生区预测 |
| PREDICTION OF THE POTENTIAL SUITABLE AREA OF THE RARE AND ENDANGERED SPECIES, TEINOPALPUS AUREUS IN CHINA |
| 投稿时间：2022-11-12 修订日期：2023-02-12 |
| DOI：10.3969/j.issn.1674-8085.2023.03.009 |
| 中文关键词: 金斑喙凤蝶 MaxEnt 濒危物种 适生区 预测 |
| 英文关键词: Teinopalpus aureus MaxEnt endangered species suitable distribution area prediction |
| 基金项目:国家自然科学基金面上项目(42071300)；福建省级财政林业科技研究项目(2023FKJ17) |
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| 中文摘要: |
| 为了明确珍稀濒危物种金斑喙凤蝶(Teinopalpus aureus Mell)在我国的潜在地理分布，基于我国已有的分布记录，结合环境数据，采用MaxEnt模型和ArcGIS软件对其在我国的潜在适生区进行预测分析。结果表明，最暖季平均降水量(bio18)、最冷月份最低温(bio6)、最热月最高气温(bio5)和最湿月降水量(bio13)在金斑喙凤蝶的地理分布中起主要作用。在最暖季平均降水量(bio18)为423~ 1172 mm，最冷月份最低温(bio6)为-7 ~ 14 ℃，最热月最高气温(bio5)为21~39 ℃，最湿月降水量(bio13)为186~ 479 mm的环境条件下适合金斑喙凤蝶生长；在当前气候情景下，预测金斑喙凤蝶主要适生区分布在我国长江以南地区，及台湾和海南等地，面积约为133.27万km2，其中高适生区分布集中在福建、广东、广西、江西、浙江等南亚热带地区，约为39.93万km2面积。本研究模型预测精度高，对金斑喙凤蝶的保护具有较高的参考价值。 |
| 英文摘要: |
| In order to identify the potential geographical distribution of the rare and endangered species, Teinopalpus aureus Mell in China, MaxEnt model and ArcGIS software were used to predict and analyze the potential suitable areas of T. aureus in China based on the existing distribution records and environmental data. The results show that mean precipitation of the warmest quarter (bio18), min temperature of the coldest month (bio6), max temperature of warmest month (bio5), and precipitation of wettest month (bio13) play a major role in the geographical distribution of T. aureus. Under the environmental conditions as bio18 of 423 ~1172 mm, bio6 of -7 ~ 14 ℃, bio5 of 21~39 ℃, and bio13 of 186 ~ 479 mm, it was suitable for the growth of T. aureus. In the current climate conditions, the main suitable area of T. aureus is about 1,332,700 km2, mainly distributed in the south of Yangtze River, Taiwan, Hainan and other places. The distribution of high suitable areas is mainly concentrated in Fujian, Guangdong, Guangxi, Jiangxi, Zhejiang and other subtropical areas, with an area of about 399,300 km2. The prediction accuracy of the model is high with a high reference value for the protection of T. aureus. |
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