基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟

doi:DOI:10.13287/j.1001-9332.201706.017

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 近岸生态与环境实验室

	基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟
	宗敏 ; 韩广轩 ; 栗云召 ; 王光镇 ; 王安东 ; 杨显基
刊名	应用生态学报
	2017-04-11
卷号	28 期号:6 页码:1833-1842
关键词	MaxEnt model potential distribution dominant species MaxEnt模型潜在分布优势物种
ISSN号	1001-9332
DOI	DOI:10.13287/j.1001-9332.201706.017
其他题名	Predicting the potential distribution of dominant species of the coastal wetland in the Yellow River Delta,China using MaxEnt model
产权排序	(1) 鲁东大学资源与环境工程学院 ; (2) 中国科学院烟台海岸带研究所海岸带环境过程与生态修复重点实验室 ; (3) 山东黄河三角洲国家级自然保护区管理局 ; (4) 中山大学地理科学与规划学院
文献子类	Article
英文摘要	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_3~--N,salt,slope,Mg,altitude and NH_4~+-N. The environmental variables influencing the distribution of P. australis were NO_3~--N, salt,TP,pH,altitude and NH_4~+-N. NO_3~--N,salt and NH_4~+-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.
WOS关键词	Plant Sciences
WOS研究方向	Plant Sciences ; 植物科学
语种	中文
CSCD记录号	CSCD:6005172
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/24278]
专题	烟台海岸带研究所_近岸生态与环境实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位	1.中山大学地理科学与规划学院 2.鲁东大学资源与环境工程学院; 3.中国科学院烟台海岸带研究所海岸带环境过程与生态修复重点实验室; 4.山东黄河三角洲国家级自然保护区管理局;
推荐引用方式 GB/T 7714	宗敏,韩广轩,栗云召,等. 基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟[J]. 应用生态学报,2017,28(6):1833-1842.
APA	宗敏,韩广轩,栗云召,王光镇,王安东,&杨显基.(2017).基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟.应用生态学报,28(6),1833-1842.
MLA	宗敏,et al."基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟".应用生态学报 28.6(2017):1833-1842.