中国鸟类多样性与气候环境时空相关性分析
Analysis of the Spatiotemporal Correlation between Bird Diversity and Climate Environment in China
摘要: 鸟类多样性变化与气候环境密切相关,量化二者相关性不仅对鸟类保护有指导性意义也对环境治理有建设性意义。研究基于中国观鸟中心各省鸟类物种分布与2020到2023年4年观鸟数据,结合中国陆地生态系统分布图、中国年均气温气象分布数据以及中国省会城市空气质量数据,量化中国鸟类多样性和气候环境的时空相关性。通过建立时空数量分布图,构造鸟类多样性指数,采取spearman相关性分析方法,从宏观表现和微观层面来量化中国鸟类物种丰富度与时空地理位置环境因子的相关性。结果表明宏观表现上,中国鸟类物种丰富度随陆地生态系统分布变化一致,呈现西疏东密的分布格局,且鸟类多样性指数与极端气候密切相关,通常在气候类型丰富,气候变化较为稳定的区域鸟种类以及丰富度均很高。微观层面上,鸟类多样性与PM2.5呈现显著负相关性,随着PM2.5增多,鸟类多样性指数呈现下降趋势。
Abstract: The changes in bird diversity are closely related to climatic and environmental factors. Quantifying the correlation between these factors not only has significant implications for bird conservation but also offers constructive insights for environmental management. This study utilizes data from the China Birdwatching Center, including the distribution of bird species across various provinces and birdwatching data collected over four years (2020 to 2023). It integrates these data with the terrestrial ecosystem distribution map of China, the annual average temperature distribution data, and air quality data from provincial capitals in China to quantify the spatiotemporal correlation between bird diversity and climatic conditions in China. By constructing spatiotemporal distribution maps and developing a bird diversity index, the study employs Spearman correlation analysis to quantify the correlation between bird species richness and spatiotemporal environmental factors at both macro and micro levels. The results indicate that, at the macro level, the richness of bird species in China is consistent with the distribution of terrestrial ecosystems, exhibiting a pattern of lower density in the west and higher density in the east. The bird diversity index shows a strong correlation with extreme climatic conditions, with high species richness and diversity typically observed in regions with diverse climate types and relatively stable climatic conditions. At the micro level, bird diversity is significantly negatively correlated with PM2.5 concentrations, showing a declining trend in the bird diversity index as PM2.5 levels increase.
参考文献
|
[1]
|
刘澈, 郑成洋, 张腾, 等. 中国鸟类物种丰富度的地理格局及其与环境因子的关系[J]. 北京大学学报(自然科学版), 2014, 50(3): 429-438.
|
|
[2]
|
李斌, 宋鹏飞, 顾海峰, 等. 昆仑山青海片区鸟类群落多样性格局及其驱动因素[J]. 生物多样性, 2024, 32(4): 27-38.
|
|
[3]
|
汤锦涛, 张健嵩, 张文文, 等. 云南元阳县鸟类多样性及繁殖鸟类垂直分布格局[J]. 生态与农村环境学报, 2024, 40(9): 1213-1221.
|
|
[4]
|
王思钰. 郑州市公园景观特征对鸟类群落多样性特征的影响机理及优化设计[D]: [硕士学位论文]. 郑州: 河南农业大学, 2024.
|
|
[5]
|
孔令望, 白永兴, 程志昌, 王守城, 马小强, 杜星南, 袁浩哲, 包新康. 大熊猫栖息地裕河片区鸟类多样性及其季节动态[J]. 兰州大学学报(自然科学版), 2024, 60(1): 106-114.
|
|
[6]
|
王鹏, 隋佳容, 丁欣瑶, 王伟中, 曹雪倩, 赵海鹏, 王彦平. 郑州城市公园鸟类群落嵌套分布格局及其影响因素[J]. 生物多样性, 2024, 32(3): 48-58.
|
|
[7]
|
朵海瑞, 傲云巴特尔, 吾健, 罗洪巍, 同德兴, 孔繁燕, 杨芳, 魏婷婷. 柴达木盆地可鲁克湖-托素湖自然保护区鸟类多样性[J]. 干旱区研究, 2024, 41(3): 521-526.
|
|
[8]
|
张强元. 三江源国家级自然保护区麦秀保护分区鸟类多样性研究[D]: [硕士学位论文]. 西宁: 青海师范大学, 2024.
|
|
[9]
|
李兰英, 高敏, 袁迪, 等. 昆明市游憩性绿地鸟类多样性对环境因子的响应[J]. 浙江农林大学学报, 2024, 41(5): 986-995.
|
|
[10]
|
陈文华, 徐娟. 中国西南鸟类物种丰富度及其维持因素研究[J]. 北京大学学报(自然科学版), 2023, 59(4): 629-638.
|