globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0137241
论文题名:
Estimating Regions of Oceanographic Importance for Seabirds Using A-Spatial Data
作者: Grant Richard Woodrow Humphries
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-9-2
卷: 10, 期:9
语种: 英语
英文关键词: Oceanography ; Foraging ; Birds ; Wind ; New Zealand ; Animal migration ; Clouds ; Seabirds
英文摘要: Advances in GPS tracking technologies have allowed for rapid assessment of important oceanographic regions for seabirds. This allows us to understand seabird distributions, and the characteristics which determine the success of populations. In many cases, quality GPS tracking data may not be available; however, long term population monitoring data may exist. In this study, a method to infer important oceanographic regions for seabirds will be presented using breeding sooty shearwaters as a case study. This method combines a popular machine learning algorithm (generalized boosted regression modeling), geographic information systems, long-term ecological data and open access oceanographic datasets. Time series of chick size and harvest index data derived from a long term dataset of Maori ‘muttonbirder’ diaries were obtained and used as response variables in a gridded spatial model. It was found that areas of the sub-Antarctic water region best capture the variation in the chick size data. Oceanographic features including wind speed and charnock (a derived variable representing ocean surface roughness) came out as top predictor variables in these models. Previously collected GPS data demonstrates that these regions are used as “flyways” by sooty shearwaters during the breeding season. It is therefore likely that wind speeds in these flyways affect the ability of sooty shearwaters to provision for their chicks due to changes in flight dynamics. This approach was designed to utilize machine learning methodology but can also be implemented with other statistical algorithms. Furthermore, these methods can be applied to any long term time series of population data to identify important regions for a species of interest.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0137241&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20825
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item:
File Name/ File Size Content Type Version Access License
journal.pone.0137241.PDF(1965KB)期刊论文作者接受稿开放获取View Download

作者单位: Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, California;Department of Zoology, Center for Sustainability, Agriculture, Food, Energy and Environment, University of Otago, Dunedin, New Zealand

Recommended Citation:
Grant Richard Woodrow Humphries. Estimating Regions of Oceanographic Importance for Seabirds Using A-Spatial Data[J]. PLOS ONE,2015-01-01,10(9)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Grant Richard Woodrow Humphries]'s Articles
百度学术
Similar articles in Baidu Scholar
[Grant Richard Woodrow Humphries]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Grant Richard Woodrow Humphries]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0137241.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.