CCPortal
DOI10.3390/su16052139
Maximum Entropy Analysis of Bird Diversity and Environmental Variables in Nanjing Megapolis, China
Lai, Jingcheng; Wang, Yong; Huang, Tengjie; Lyu, Yanyan; Zhao, Yuhui; Liu, Jishuang
发表日期2024
EISSN2071-1050
起始页码16
结束页码5
卷号16期号:5
英文摘要Against the background of global climate change and urbanization, the biodiversity of birds is facing unprecedented threats. In this paper, taking the Nanjing megapolis as an example, based on the distribution sites of 79 bird species and 17 environmental variables, the MaxEnt model was used to simulate the distribution of bird diversity, and the most important environmental variables were analyzed. The results show that (1) the MaxEnt model is suitable for simulation of the potential distribution of bird diversity in the Nanjing megapolis; (2) the areas with the highest bird diversity in the Nanjing megapolis were mainly distributed in the mountains and hills where the forests are located; (3) the five most important environmental variables affecting bird distribution were ranked as maximum temperature of the warmest month (MTWM) > Digital Elevation Model (DEM) > precipitation of the wettest month (PWM) > distance to the nearest forest (DF) > Fractional Vegetation Cover index (FVC), with MTWM, PWM, and DF being negatively correlated with bird diversity, whereas FVC and DEM exhibited positive correlations with bird diversity; and (4) the contribution rates of the three types of environmental variables were ranked as follows: habitat environmental variables > meteorological environmental variables > disturbance environmental variables. Sufficient bird habitats should be maintained in cities, and disturbances from human activities should be reduced to achieve the harmonious coexistence of humans and animals in the context of climate change and urbanization, thereby promoting sustainable development.
英文关键词MaxEnt model; environmental variables; bird diversity; megapolis
语种英语
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号WOS:001183389300001
来源期刊SUSTAINABILITY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/288239
作者单位Nanjing University of Information Science & Technology; Nanjing University of Information Science & Technology; Nanjing University of Information Science & Technology; Nanjing University of Information Science & Technology
推荐引用方式
GB/T 7714
Lai, Jingcheng,Wang, Yong,Huang, Tengjie,et al. Maximum Entropy Analysis of Bird Diversity and Environmental Variables in Nanjing Megapolis, China[J],2024,16(5).
APA Lai, Jingcheng,Wang, Yong,Huang, Tengjie,Lyu, Yanyan,Zhao, Yuhui,&Liu, Jishuang.(2024).Maximum Entropy Analysis of Bird Diversity and Environmental Variables in Nanjing Megapolis, China.SUSTAINABILITY,16(5).
MLA Lai, Jingcheng,et al."Maximum Entropy Analysis of Bird Diversity and Environmental Variables in Nanjing Megapolis, China".SUSTAINABILITY 16.5(2024).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lai, Jingcheng]的文章
[Wang, Yong]的文章
[Huang, Tengjie]的文章
百度学术
百度学术中相似的文章
[Lai, Jingcheng]的文章
[Wang, Yong]的文章
[Huang, Tengjie]的文章
必应学术
必应学术中相似的文章
[Lai, Jingcheng]的文章
[Wang, Yong]的文章
[Huang, Tengjie]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。