NEW PRODUCTION AT THE VERTEX TIME-SERIES SITE

被引:69
|
作者
KNAUER, GA
REDALJE, DG
HARRISON, WG
KARL, DM
机构
[1] FISHERIES & OCEANS CANADA,BEDFORD INST OCEANOG,DEPT FISHERIES & OCEANS,DIV BIOL OCEANOG,DARTMOUTH B2Y 4A2,NS,CANADA
[2] UNIV HAWAII,SCH OCEAN & EARTH SCI & TECHNOL,HONOLULU,HI 96822
基金
美国国家科学基金会;
关键词
D O I
10.1016/0198-0149(90)90054-Y
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Particulat organic carbon and nitrogen fluxes measured with free-floating seediment traps deployed six times over an 18-month period were combined with 14C primary production and 15N uptake measurements in order to obtain annual estimates of new production (NP) and associted f-ratios at the VERTEX time-series site. The site, located in the northeast Pacific Ocean at 33°N, 139°W, was occuped at trimonthly intervals to conduct water column studies and to recover/redeploy the sediment traps. The upper 250m of the VERTEX site exhibited considerable variability in some biological properties over seasonal time scales. While integrated photoautotrophic biomass remained relatively constant (0.57 ± 0.1 g C m-2) during the 18-month period, both integrated primary production and particulate ATP varied approximately 2.5-fold, ranging from 220 to 550 mg C m-2d-1 and 0.6-1.5 g C m-2, respectively. There was also considerable variation in both NP and f-ratios over the 18-month sampling period, although most of the NP variability was associated with short-term (i.e <72 h) estimates. Despite the relatively large range in NP values derived from 72 h sediment trap deployments and the 15N tracer work (18-179 mg C m-2d-1), no clear relationship between NP and primary productivity was found. However, the f-ratio appeared to be inversely related to primary production, with lowest estimates obtained during the period of highest productivity. Values of annual NP derived from various estimates were remarkably similar ranging from 13-17 g C m-2y-1. The average annual f-ratio ranged from 0.11 to 0.14. © 1990.
引用
收藏
页码:1121 / 1134
页数:14
相关论文
共 50 条
  • [21] A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
    Grassi, Francesco
    Loukas, Andreas
    Perraudin, Nathanael
    Ricaud, Benjamin
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (03) : 817 - 829
  • [22] A Random Time-Series Decomposition and Its Applications in Time-Series Identification
    Figwer, Jaroslaw
    2016 21ST INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2016, : 206 - 211
  • [23] Long time-series monitoring of an abyssal site in the NE Pacific: an introduction
    Smith, KL
    Druffel, ERM
    DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 1998, 45 (4-5) : 573 - +
  • [24] The effect the price of gold on its production: a time-series analysis
    Selvanathan, S
    Selvanathan, EA
    RESOURCES POLICY, 1999, 25 (04) : 265 - 275
  • [25] Impact of irrigation on pulses production in India: A time-series study
    Vani, Gourav Kumar
    Mishra, Pradeep
    LEGUME RESEARCH, 2019, 42 (06) : 806 - 811
  • [26] MEASURING AND COMPARING SMOOTHNESS IN TIME-SERIES THE PRODUCTION SMOOTHING HYPOTHESIS
    FROEB, L
    KOYAK, R
    JOURNAL OF ECONOMETRICS, 1994, 64 (1-2) : 97 - 122
  • [27] SLIDING SIMULATION - A NEW APPROACH TO TIME-SERIES FORECASTING
    MAKRIDAKIS, S
    MANAGEMENT SCIENCE, 1990, 36 (04) : 505 - 512
  • [28] A New Pattern Representation Method for Time-Series Data
    Rezvani, Roonak
    Barnaghi, Payam
    Enshaeifar, Shirin
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (07) : 2818 - 2832
  • [29] A new correlation coefficient for bivariate time-series data
    Erdem, Orhan
    Ceyhan, Elvan
    Varli, Yusuf
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 414 : 274 - 284
  • [30] A new time-series model based on quantum walk
    Norio Konno
    Quantum Studies: Mathematics and Foundations, 2019, 6 : 61 - 72