Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based models

被引：35
|
作者：
Radiarta, I. Nyoman [1 ,2 ]
Saitoh, Sei-Ichi [1 ]
Yasui, Hajime [3 ]
机构：
[1] Hokkaido Univ, Fac Fisheries Sci, Lab Marine Bioresource & Environm Sensing, Hakodate, Hokkaido 0418611, Japan
[2] Agcy Marine Affair & Fisheries Res & Dev, Ctr Aquaculture Res & Dev, Pasar Minggu Jakarta Sel 12540, Indonesia
[3] Hokkaido Univ, Fac Fisheries Sci, Lab Sci & Technol Fisheries Infrastruct Syst, Hakodate, Hokkaido 0418611, Japan
来源：
ICES JOURNAL OF MARINE SCIENCE | 2011年 / 68卷 / 04期
关键词：
aquaculture site selection; GIS; Hokkaido; kelp; Laminaria japonica; remote sensing; SENSITIVITY-ANALYSIS; FUNKA BAY; SOUTHWESTERN HOKKAIDO; HABITAT SUITABILITY; CANARY-ISLANDS; TENERIFE; PLUMES; SYSTEM;
D O I：
10.1093/icesjms/fsq163
中图分类号：
S9 [水产、渔业];
学科分类号：
0908 ;
摘要：
Japanese kelp (Laminaria japonica) is an important species cultured and harvested in Japan. The most suitable areas for hanging culture in southern Hokkaido were determined using geographic information system (GIS) models and a multicriteria evaluation approach. Analyses of physical parameters (sea surface temperature and suspended solid from SeaWiFS and MODIS) and available bathymetric data indicated that some 74% (1139 km(2)) of the total potential area with bottom depths <60 m had the two highest suitability scores. A local sensitivity analysis indicated that suspended solids were more important than temperature in affecting model output. This study demonstrates that GIS databases of different formats and sources can be used effectively to construct spatial models for kelp aquaculture.
引用
收藏
页码：773 / 780
页数：8
相关论文
共 20 条
  • [1] Improvement of an aquaculture site-selection model for Japanese kelp (Saccharina japonica) in southern Hokkaido, Japan: an application for the impacts of climate events
    Liu, Yang
    Saitoh, Sei-Ichi
    Radiarta, I. Nyoman
    Isada, Tomonori
    Hirawake, Toru
    Mizuta, Hiroyuki
    Yasui, Hajime
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2013, 70 (07) : 1460 - 1470
  • [2] GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, Japan
    Radiarta, I. Nyoman
    Saitoh, Sei-Ichi
    Miyazono, Akira
    [J]. AQUACULTURE, 2008, 284 (1-4) : 127 - 135
  • [3] Aquaculture Site Selection of Oncorhynchus Mykiss (Rainbow Trout) in Markazi Province Using GIS-Based MCDM
    Aghmashhadi, Amir H.
    Azizi, Ali
    Hoseinkhani, Maryam
    Zahedi, Samaneh
    Cirella, Giuseppe T.
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (03)
  • [4] Brackish water aquaculture site selection in coastal track of Cannanore (Kerala) Using remote sensing and GIS techniques
    Gupta M.C.
    Krishnarajan V.P.
    Nayak S.
    [J]. Journal of the Indian Society of Remote Sensing, 2001, 29 (1-2) : 79 - 83
  • [5] EXPERIMENTS IN SITE SELECTION FOR COASTAL AQUACULTURE USING INDIAN REMOTE-SENSING SATELLITE - IRS-1A
    SUDARSHANA, R
    BHAN, SK
    SIDDIQUI, MS
    VOHRA, TPS
    PRASAD, PN
    BHAT, UG
    NEELAKANTAN, B
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (12) : 2275 - 2284
  • [6] Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system
    I Nyoman Radiarta
    Sei-Ichi Saitoh
    [J]. Aquaculture International, 2009, 17 : 403 - 419
  • [7] Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system
    Radiarta, I. Nyoman
    Saitoh, Sei-Ichi
    [J]. AQUACULTURE INTERNATIONAL, 2009, 17 (05) : 403 - 419
  • [8] Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
    Shahabi, Himan
    Hashim, Mazlan
    [J]. SCIENTIFIC REPORTS, 2015, 5
  • [9] Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
    Himan Shahabi
    Mazlan Hashim
    [J]. Scientific Reports, 5
  • [10] Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models
    Nejad, Samira Ghorbani
    Falah, Fatemeh
    Daneshfar, Mania
    Haghizadeh, Ali
    Rahmati, Omid
    [J]. GEOCARTO INTERNATIONAL, 2017, 32 (02) : 167 - 187
12