Optical monitoring and forecasting systems for harmful algal blooms: Possibility or pipe dream?

被引:86
作者
Schofield, O [1 ]
Grzymski, J
Bissett, WP
Kirkpatrick, GJ
Millie, DF
Moline, M
Roesler, CS
机构
[1] Rutgers State Univ, Inst Marine & Coastal Sci, Coastal Ocean Observat Lab, New Brunswick, NJ 08901 USA
[2] Florida Environm Res Inst, Tampa, FL 33611 USA
[3] Mote Marine Lab, Sarasota, FL 34236 USA
[4] USDA ARS, Sarasota, FL 34236 USA
[5] Calif Polytech State Univ San Luis Obispo, Dept Biol Sci, San Luis Obispo, CA 93407 USA
[6] Bigelow Lab Ocean Sci, Boothbay Harbor, ME 04575 USA
关键词
bio-optics; forecasting; harmful algal blooms; remote sensing;
D O I
10.1046/j.1529-8817.1999.3561477.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Monitoring programs for harmful algal blooms (HABs) are currently reactive and provide little or no means for advance warning. Given this, the development of algal forecasting systems would be of great use because they could guide traditional monitoring programs and provide a proactive means for responding to HABs. Forecasting systems will require near real-time observational capabilities and hydrodynamic/biological models designed to run in the forecast mode. These observational networks must detect and forecast over ecologically relevant spatial/temporal scales. One solution is to incorporate a multiplatform optical approach utilizing remote sensing and in situ moored technologies, Recent advances in instrumentation and data-assimilative modeling may provide the components necessary for building an algal forecasting system, This review will outline the utility and hurdles of optical approaches in HAB detection and monitoring. In all the approaches, the desired HAB information must be isolated and extracted from the measured bulk optical signals. Examples of strengths and weaknesses of the current approaches to deconvolve the bulk optical properties are illustrated. After the phytoplankton signal has been isolated, species-recognition algorithms will be required, and we demonstrate one approach developed for Gymnodinium breve Davis, Pattern-recognition algorithms will be species-specific, reflecting the acclimation state of the HAB species of interest. Field data will provide inputs to optically based ecosystem models, which are fused to the observational networks through data-assimilation methods. Potential model structure and data-assimilation methods are reviewed.
引用
收藏
页码:1477 / 1496
页数:20
相关论文
共 154 条
  • [1] Ackelson S. G., 1988, APPL OPTICS, V27, P1270
  • [2] Conditions necessary for Chattonella antiqua red tide outbreaks
    Amano, K
    Watanabe, M
    Kohata, K
    Harada, S
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 1998, 43 (01) : 117 - 128
  • [3] [Anonymous], 1997, PHYTOPLANKTON PIGMEN
  • [4] [Anonymous], 1994, Light and Water: Radiative Transfer in Natural Waters
  • [5] ANTHES RA, 1974, J ATMOS SCI, V31, P701
  • [6] DERIVATIVE ANALYSIS OF SPECTRAL ABSORPTION BY PHOTOSYNTHETIC PIGMENTS IN THE WESTERN SARGASSO SEA
    BIDIGARE, RR
    MORROW, JH
    KIEFER, DA
    [J]. JOURNAL OF MARINE RESEARCH, 1989, 47 (02) : 323 - 341
  • [7] Carbon cycling in the upper waters of the Sargasso Sea: II. Numerical simulation of apparent and inherent optical properties
    Bissett, WP
    Carder, KL
    Walsh, JJ
    Dieterle, DA
    [J]. DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 1999, 46 (02) : 271 - 317
  • [8] THE EFFECTS OF TEMPORAL VARIABILITY OF MIXED-LAYER DEPTH ON PRIMARY PRODUCTIVITY AROUND BERMUDA
    BISSETT, WP
    MEYERS, MB
    WALSH, JJ
    MULLERKARGER, FE
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1994, 99 (C4) : 7539 - 7553
  • [9] Carbon cycling in the upper waters of the Sargasso Sea: I. Numerical simulation of differential carbon and nitrogen fluxes
    Bissett, WP
    Walsh, JJ
    Dieterle, DA
    Carder, KL
    [J]. DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 1999, 46 (02) : 205 - 269
  • [10] Blumberg A.F., 1987, 3 DIMENSIONAL COASTA, V4, P208