Suppr超能文献

南加利福尼亚巨藻的净初级生产力、生长及现存生物量

Net primary production, growth, and standing crop of Macrocystis pyrifera in Southern California.

作者信息

Rassweiler Andrew, Arkema Katie K, Reed Daniel C, Zimmerman Richard C, Brzezinski Mark A

机构信息

Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106, USA.

出版信息

Ecology. 2008 Jul;89(7):2068. doi: 10.1890/07-1109.1.

Abstract

Marine macroalgae are believed to be among the most productive autotrophs in the world. However, relatively little information exists about spatial and temporal variation in net primary production (NPP) by these organisms. The data presented here are being collected to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth. The standing crop and loss rates of M. pyrifera have been measured monthly in permanent plots at three sites in the Santa Barbara Channel, USA. Collection of these data began in June 2002 and is ongoing. Seasonal estimates of NPP and growth rate are made by combining the field data with a model of kelp dynamics. The purpose of this Data Paper is to make available a time series of M. pyrifera NPP, growth, and standing crop that is appropriate for examining seasonal and interannual patterns across multiple sites. Data on plant density in each plot and censuses of fronds on tagged plants at each site are also made available here. NPP, mass-specific growth rate, and standing crop are presented in four different metrics (wet mass, dry mass, carbon mass, and nitrogen mass) to facilitate comparisons with previous studies of M. pyrifera and with NPP measured in other ecosystems. Analyses of these data reveal seasonal cycles in growth and standing crop as well as substantial differences in M. pyrifera NPP among sites and years.

摘要

海洋大型藻类被认为是世界上生产力最高的自养生物之一。然而,关于这些生物净初级生产力(NPP)的时空变化的信息相对较少。此处呈现的数据是为了研究巨型海带(Macrocystis pyrifera)的NPP变化模式和原因而收集的,巨型海带被认为是地球上生长最快的自养生物之一。在美国圣巴巴拉海峡的三个地点,每月在固定样地中测量巨型海带的现存生物量和损失率。这些数据的收集始于2002年六月,目前仍在进行。通过将实地数据与海带动态模型相结合,得出NPP和生长率的季节性估计值。本数据论文的目的是提供一系列巨型海带的NPP、生长和现存生物量的时间序列,以用于研究多个地点的季节性和年际模式。这里还提供了每个样地的植物密度数据以及每个地点标记植物的叶片普查数据。NPP、质量比生长率和现存生物量以四种不同的指标呈现(湿质量、干质量、碳质量和氮质量),以便于与之前对巨型海带的研究以及在其他生态系统中测量的NPP进行比较。对这些数据的分析揭示了生长和现存生物量的季节性周期,以及不同地点和年份之间巨型海带NPP的显著差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验