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利用MaxEnt模型预测中国黄河三角洲滨海湿地优势物种潜在分布

[Predicting the potential distribution of dominant species of the coastal wetland in the Yellow River Delta, China using MaxEnt model].

作者信息

Zong Min, Han Guang Xuan, Li Yun Zhao, Wang Guang Zhen, Wang An Dong, Yang Xian Ji

机构信息

College of Resources and Environmental Engineering, Ludong University, Yantai 264025, Shandong, China.

Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2017 Jun 18;28(6):1833-1842. doi: 10.13287/j.1001-9332.201706.017.

Abstract

Soil and vegetation community were investigated using the method of kilometer grid sampling. In addition, using the maximum entropy (MaxEnt) and the GIS spatial analysis technique, the potential distribution of dominant species in the Yellow River Delta and their major environmental variables and ecological parameters were quantitatively analyzed. The results showed that the dominant species of the coastal wetland were Tamarix chinensis, Phragmites australis and Suaeda salsa in the Yellow River Delta. Among the environmental variables, six variables were significant contributors to the potential distribution model of T. chinensis: NO-N, salt, slope, Mg, altitude and NH-N. The environmental variables influencing the distribution of P. australis were NO-N, salt, TP, pH, altitude and NH-N. NO-N, salt and NH-N were the significant factors determining the potential distribution of S. salsa. The probability of presence of dominant species of the coastal wetland in the Yellow River Delta was positively correlated with salt, but it was negatively correlated with the other major environmental variables. The model predicted that the core potential distribution of dominant species in the Yellow River Delta was mainly in the coastal areas. In addition, P. australis had a wider range of distribution, compared with T. chinensis and S. salsa.

摘要

采用千米网格采样法对土壤和植被群落进行调查。此外,运用最大熵(MaxEnt)和GIS空间分析技术,对黄河三角洲优势物种的潜在分布及其主要环境变量和生态参数进行了定量分析。结果表明,黄河三角洲滨海湿地的优势物种为柽柳、芦苇和碱蓬。在环境变量中,6个变量是影响柽柳潜在分布模型的显著因素:硝态氮、盐分、坡度、镁、海拔和铵态氮。影响芦苇分布的环境变量为硝态氮、盐分、总磷、pH值、海拔和铵态氮。硝态氮、盐分和铵态氮是决定碱蓬潜在分布的显著因素。黄河三角洲滨海湿地优势物种出现的概率与盐分呈正相关,但与其他主要环境变量呈负相关。模型预测,黄河三角洲优势物种的核心潜在分布主要在沿海地区。此外,与柽柳和碱蓬相比,芦苇的分布范围更广。

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