[1]佟瑞菊,袁玉珠.北大西洋大型常见冷水柳珊瑚潜在分布建模[J].福建工程学院学报,2017,15(04):393-398.[doi:10.3969/j.issn.1672-4348.2017.04.017]
　Tong Ruiju,Yuan Yuzhu.Distribution modelling of large common cold-water gorgoninans in North Atlantic[J].Journal of FuJian University of Technology,2017,15(04):393-398.[doi:10.3969/j.issn.1672-4348.2017.04.017]
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北大西洋大型常见冷水柳珊瑚潜在分布建模()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第15卷
期数:
2017年04期
页码:
393-398
栏目:
出版日期:
2017-08-25

文章信息/Info

Title:
Distribution modelling of large common cold-water gorgoninans in North Atlantic
作者:
佟瑞菊; 袁玉珠
福建工程学院交通运输学院
Author(s):
Tong Ruiju;  Yuan Yuzhu
School of Transportation, Fujian University of Technology
关键词:
冷水柳珊瑚;  潜在分布建模;  随机森林模型;  最大熵模型
Keywords:
cold-water gorgonians;  potential distribution modelling;  random forest （RF） model;  MaxEnt
分类号:
Q141
DOI:
10.3969/j.issn.1672-4348.2017.04.017
文献标志码:
A
摘要:
Paragorgia arborea及Primnoa resedaeformis是北大西洋最常见的两类大型冷水柳珊瑚，该两种柳珊瑚显著增加了底栖环境的生境复杂度。其分布信息对资源管理及保护极其重要，但难以获取。本文基于随机森林模型及最大熵模型预测其在北大西洋Traena区域的潜在分布。预测精度评价表明随机森林模型较最大熵模型具有更好的预测性能。平均曲率（90 m尺度）是随机森林模型预测两种柳珊瑚分布的主导因子，表明其与两种柳珊瑚的分布具有较强生态相关性。预测结果显示两种柳珊瑚趋向于分布在珊瑚礁体上。本预测成果可为该区域冷水珊瑚保护提供决策辅助信息。模型对比研究可为大型底栖动物分布建模的模型选择提供依据。
Abstract:
Paragorgia arborea and Primnoa resedaeformis are two large coldwater coral species commonly occurring in North Atlantic, which significantly increase the complexity of the benthic habitat. Mapping their distribution is fundamental for resource management and conservation, but is difficult (given their remoteness). In this study, their potential distribution at Traena Reef complex of the North Atlantic were predicted based on random forest (RF) and MaxEnt models, respectively. The RF prediction was shown to outperform the MaxEnt prediction. Mean curvature at an analysis scale of 90 m is the most useful terrain variable in RF prediction, which is ecologically correlated to the distribution of the two species. The two species were predicted to occur on the reefs. The result can contribute to cold-water coral protection at the study area. Comparing model performances is useful to provide for distribution modelling of large benthic species.

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更新日期/Last Update: 2017-08-25