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不同气候情景下适宜栖息地的预测空间模式

Predicted Spatial Patterns of Suitable Habitats for Under Different Climate Scenarios.

作者信息

Liu Biyu, Deng Xinqi, Liu Zhiqian, Wei Xinju, Zhang Honghua, Xu Danping, Zhuo Zhihang

机构信息

College of Life Science, China West Normal University, Nanchong 637002, China.

出版信息

Insects. 2024 Nov 18;15(11):901. doi: 10.3390/insects15110901.

DOI:10.3390/insects15110901
PMID:39590500
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11594763/
Abstract

is the largest butterfly in China and is highly valued for its ornamental beauty. Due to being classified as a national second-class protected species in China, studying its spatial distribution is crucial for developing effective conservation measures. In this study, a total of 490 distribution points were obtained, and the potential distribution areas of the golden-sheathed were analyzed by using the maximum entropy model (MaxEnt) based on three different greenhouse gas emission scenarios, namely, SSP1-2.6, SSP2-4.5, and SSP5-8.5, in combination with nine important environmental variables. The results indicate that temperature and precipitation are the primary environmental factors influencing the suitable habitat of , with key variables including the minimum temperature of the coldest month (bio6), temperature annual range (bio7), mean temperature of the warmest quarter (bio10), annual precipitation (bio12), precipitation of the coldest quarter (bio19), and slope. The height distribution of in my country is in the area south of the Huaihe River in the Qinling Mountains, with a total area of 270.96 × 104 km, accounting for 28.23% of the total area of China. According to future climate change conditions, as climate warming progresses, both low- and high-suitability areas show an expansion trend in most scenarios, particularly under the SSP5-8.5 scenario, where highly suitable areas increase significantly while moderately suitable areas gradually shrink. To address future climate change, conservation strategies should focus on protecting highly suitable areas and strengthening the management of marginal habitats to enhance the adaptability and survival chances of .

摘要

它是中国最大的蝴蝶,因其观赏性而备受珍视。由于在中国被列为国家二级保护物种,研究其空间分布对于制定有效的保护措施至关重要。在本研究中,共获取了490个分布点,并基于三种不同的温室气体排放情景,即SSP1 - 2.6、SSP2 - 4.5和SSP5 - 8.5,结合九个重要环境变量,使用最大熵模型(MaxEnt)分析了金裳凤蝶的潜在分布区域。结果表明,温度和降水是影响金裳凤蝶适宜栖息地的主要环境因素,关键变量包括最冷月最低温度(bio6)、温度年较差(bio7)、最暖季平均温度(bio10)、年降水量(bio12)、最冷月降水量(bio19)和坡度。我国金裳凤蝶的高度分布在秦岭淮河以南地区,总面积为270.96×104平方千米,占中国总面积的28.23%。根据未来气候变化情况,随着气候变暖的推进,在大多数情景下,低适宜性和高适宜性区域均呈现扩张趋势,特别是在SSP5 - 8.5情景下,高适宜区域显著增加,而中等适宜区域逐渐缩小。为应对未来气候变化,保护策略应侧重于保护高适宜区域,并加强边缘栖息地的管理,以提高金裳凤蝶的适应能力和生存几率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/4b6d025b5a2d/insects-15-00901-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/de195aabfd91/insects-15-00901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/54a3113db353/insects-15-00901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/8118560f8781/insects-15-00901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/fc6166e851fb/insects-15-00901-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/b8860410593a/insects-15-00901-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/4b6d025b5a2d/insects-15-00901-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/de195aabfd91/insects-15-00901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/54a3113db353/insects-15-00901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/8118560f8781/insects-15-00901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/fc6166e851fb/insects-15-00901-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/b8860410593a/insects-15-00901-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5304/11594763/4b6d025b5a2d/insects-15-00901-g006.jpg

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