SBC LTER Darwin Core Archive: Kelp Forest Reef Fish Abundance
收藏DataONE2018-01-18 更新2024-06-25 收录
下载链接:
https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/edi/140/1
下载链接
链接失效反馈官方服务:
资源简介:
These data describe the abundance of reef fish as part of the Santa
Barbara Coastal LTER program (SBC LTER) to track long-term patterns in
kelp forest reef species abundance and diversity. The study began in
2000 in the Santa Barbara Channel, California, USA, and the time
series is ongoing and updated approximately annually. Abundances of all taxa of resident kelp forest fish encountered along
permanent transects are recorded at nine reef sites located along the
mainland coast of the Santa Barbara Channel and at two sites on the
north side of Santa Cruz Island. These sites reflect several
oceanographic regimes in the channel and vary in distance from sources
of terrestrial runoff. In these surveys, fish were counted in either a
40x2m benthic quadrat, or in the water parcel 0-2m off the bottom over
the same area. This dataset is formatted as a Darwin Core Archive (DwC-A, occurrence
core). All taxa are counted (using an open species list), and
abundances are zero-filled for each taxon not encountered. This is a
derived data product and less-processed data may be available. See http://sbc.lternet.edu for
more information and source data, which may include additional
measurements, and http://sbc.marinebon.edu for processing notes.
本数据集为圣巴巴拉海岸长期生态研究计划(Santa Barbara Coastal Long-Term Ecological Research, 简称SBC LTER)的组成部分,旨在追踪海带林礁区物种丰度与多样性的长期变化模式,记录礁栖鱼类的种群丰度。
本研究于2000年在美国加利福尼亚州圣巴巴拉海峡启动,时间序列监测工作目前仍在持续,约每年更新一次。
研究人员在圣巴巴拉海峡大陆沿岸的9个礁区站点,以及圣克鲁斯岛北侧的2个站点,沿永久样带记录了观测到的所有定居性海带林鱼类分类群的丰度。
这些站点覆盖了海峡内多种不同的海洋水文状况,且与陆地径流源的距离各不相同。
本次调查中,研究人员采用两种计数方式:要么在40×2米的底栖样方内统计鱼类数量,要么在同一区域内离底0至2米的水体区域中进行计数。
本数据集采用达尔文核心档案(Darwin Core Archive, DwC-A,发生数据核心)格式存储。所有分类群均被纳入计数范围(采用开放物种名录),未观测到的分类群丰度均进行零填充处理。
本数据集属于衍生数据产品,亦可获取未经深度处理的原始数据。
如需获取更多信息与原始数据(可能包含额外测量数据),请访问http://sbc.lternet.edu;如需了解数据处理说明,请访问http://sbc.marinebon.edu。
创建时间:
2018-01-18



