Changes in Benthic Habitat Under Climate Pressure in Western Papua, Indonesia: Remote Sensing-Based Approach

被引:2
|
作者
Setiawati, Martiwi Diah [1 ,2 ]
Ismayanti, Gusti Ayu [3 ]
Hafizt, Muhammad [1 ]
Avianto, Praditya [1 ]
Antwi, Effah Kwabena [4 ]
机构
[1] Natl Res & Innovat Agcy BRIN, Res Ctr Oceanog, Jl Pasir Putih 1 Ancol Timur, Jakarta 14430, Indonesia
[2] United Nations Univ, Inst Adv Study Sustainabil UNU IAS, Jingumae 5-53-70,Shibuya Ku, Tokyo 1508925, Japan
[3] Bandung Inst Technol, Dept Oceanog, Bandung 40132, West Java, Indonesia
[4] Nat Resources Canada, Canadian Forest Serv, Great Lakes Forestry Ctr, 1219 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada
关键词
Coral reef habitat; Seagrass habitat; Benthic habitat change; Tropical region; Climate change; EL-NINO; CORAL-REEFS; IMPACTS; BIOMASS;
D O I
10.1007/s12524-024-01813-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study looks at how the benthic habitat on Ayau Island; one of Indonesia's most significant coral reef habitats has changed from 2015 to 2019 and the linkage with local sea temperature trends. This study used Landsat 8 Operational Land Imager and National Oceanic and Atmospheric Administration satellite remote sensing data and field data. The Landsat 8 satellite image processing includes atmospheric correction, sunglint correction, water column correction, image classification, and accuracy assessment. These steps were employed to understand change detection. The result revealed that the coral reef and seagrass decreased by 9.9 and 74.9% during the study period. However, the transition change was dynamic, with an annual rate of - 82.5 ha/year for coral reefs and - 108.95 ha/year for seagrass. The highest decrease in both benthic habitats occurred during the El-Nino Event, where the Sea Surface Temperature anomaly reached 1.5 degrees C. The massive habitat loss is alarming; thus, climate change mitigation and adaptation in the local context must be addressed.
引用
收藏
页码:291 / 304
页数:14
相关论文
共 50 条
  • [21] Remote sensing-based techniques for water management in small-scale farms in arid climate
    Elsayed, Hamdy
    Ibrahim, Huda
    Farag, Hanan
    Sobeih, Mohamed F.
    WATER SUPPLY, 2022, 22 (08) : 6692 - 6714
  • [22] A Novel Remote Sensing-Based Modeling Approach for Maize Light Extinction Coefficient Determination
    Costa-Filho, Edson
    Chavez, Jose L.
    Zhang, Huihui
    REMOTE SENSING, 2024, 16 (06)
  • [23] Modeling Potential Habitats of Macrophytes in Small Lakes: A GIS and Remote Sensing-Based Approach
    Robran, Bastian
    Kroth, Frederike
    Kuhwald, Katja
    Schneider, Thomas
    Oppelt, Natascha
    REMOTE SENSING, 2024, 16 (13)
  • [24] Urbanization impact assessment on environment and transportation perspectives: Remote sensing-based approach application
    Mhana, Khalid Hardan
    Norhisham, Shuhairy
    Katman, Herda Yati Binti
    Yaseen, Zaher Mundher
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2024, 35
  • [25] A GIS and Remote Sensing-based Approach on Supraglacial Lake Dynamics Study in the Himalayan Glaciers
    Mohanty, Litan
    Maiti, Sabyasachi
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2024, 100 (10) : 1457 - 1465
  • [26] Assessment of age, origin, and sustainability of fossil aquifers: A geochemical and remote sensing-based approach
    Sultan, Mohamed
    Sturchio, Neil C.
    Alsefry, Saleh
    Emil, Mustafa K.
    Ahmed, Mohamed
    Abdelmohsen, Karem
    AbuAbdullah, Mazen M.
    Yan, Eugene
    Save, Himanshu
    Alharbi, Talal
    Othman, Abdullah
    Chouinard, Kyle
    JOURNAL OF HYDROLOGY, 2019, 576 : 325 - 341
  • [27] Improving Runoff Prediction Accuracy in a Mountainous Watershed Using a Remote Sensing-Based Approach
    Fathololoumi, Solmaz
    Vaezi, Ali Reza
    Alavipanah, Seyed Kazem
    Ghorbani, Ardavan
    Karimi Firozjaei, Mohammad
    Biswas, Asim
    SUSTAINABILITY, 2023, 15 (17)
  • [28] A Remote Sensing-Based Approach to Management Zone Delineation in Small Scale Farming Systems
    Cammarano, Davide
    Zha, Hainie
    Wilson, Lucy
    Li, Yue
    Batchelor, William D.
    Miao, Yuxin
    AGRONOMY-BASEL, 2020, 10 (11):
  • [29] A Spatially Explicit, Multi-Criteria Decision Support Model for Loggerhead Sea Turtle Nesting Habitat Suitability: A Remote Sensing-Based Approach
    Dunkin, Lauren
    Reif, Molly
    Altman, Safra
    Swannack, Todd
    REMOTE SENSING, 2016, 8 (07):
  • [30] Traits of surface water pollution under climate and land use changes: A remote sensing and hydrological modeling approach
    Jordan, Yuyan C.
    Ghulam, Abduwasit
    Hartling, Sean
    EARTH-SCIENCE REVIEWS, 2014, 128 : 181 - 195