Impact of Climate Change on the Habitat Distribution of Decapterus macarellus in the South China Sea

被引:0
作者
Shen, Qikun [1 ,2 ]
Zhang, Peng [1 ,3 ,4 ]
Yu, Wenming [1 ,3 ]
Xiong, Pengli [5 ]
Cai, Yancong [1 ,3 ]
Li, Jie [1 ,3 ]
Chen, Zuozhi [1 ,3 ,4 ]
Fan, Jiangtao [1 ,3 ]
机构
[1] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China
[2] Shanghai Ocean Univ, Coll Marine Living Resource Sci & Management, Shanghai 201306, Peoples R China
[3] Minist Agr & Rural Affairs, Key Lab Sustainable Utilizat Open Sea Fishery, Guangzhou 510300, Peoples R China
[4] Guangdong Prov Key Lab Fishery Ecol & Environm, Guangzhou 510300, Peoples R China
[5] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol LMB, Guangdong Prov Key Lab Appl Marine Biol LAMB, Guangzhou 510301, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
SDMs; <italic>Decapterus macarellus</italic>; the South China Sea; climate change; environmental factors; SPECIES DISTRIBUTION; DISTRIBUTION SHIFTS; FISHERIES; FUTURE; TEMPERATURE; STRATEGIES; VARIABLES; RESPONSES; THREATS; MODELS;
D O I
10.3390/jmse13010156
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This study examines the potential distribution of Mackerel scad (Decapterus macarellus) in the South China Sea under future climate scenarios (SSP 1.26, SSP 2.45, SSP 5.85) using an ensemble species distribution model (SDM). Key environmental variables included sea surface salinity (SSS), sea surface height (SSH), sea surface temperature (SST), mixed-layer depth (MLD), chlorophyll-a concentration (CHL), and sea-bottom temperature (SBT). Results show that SST and MLD are the primary drivers of habitat suitability, with current suitable habitats concentrated in the northern offshore areas. Projections for the 2050s and 2090s indicate a reduction in suitable habitats, particularly under high-emission scenarios, with more gradual reductions under low-emission scenarios. Habitat loss is most pronounced in the northern South China Sea, while the central region is projected to see an expansion of suitable habitats. These findings highlight the climate impact on D. macarellus distribution and inform sustainable management strategies for the species in the region.
引用
收藏
页数:16
相关论文
共 74 条
  • [1] Influence of sea surface temperature variability on global temperature and precipitation extremes
    Alexander, Lisa V.
    Uotila, Petteri
    Nicholls, Neville
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
  • [2] Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
    Arabameri, Alireza
    Saha, Sunil
    Roy, Jagabandhu
    Chen, Wei
    Blaschke, Thomas
    Dieu Tien Bui
    [J]. REMOTE SENSING, 2020, 12 (03)
  • [3] Future changes in the seasonal habitat suitability for anchovy (Engraulis japonicus) in Korean waters projected by a maximum entropy model
    Bang, Minkyoung
    Sohn, Dongwha
    Kim, Jung Jin
    Choi, Wonkeun
    Jang, Chan Joo
    Kim, Changsin
    [J]. FRONTIERS IN MARINE SCIENCE, 2022, 9
  • [4] Selecting pseudo-absences for species distribution models: how, where and how many?
    Barbet-Massin, Morgane
    Jiguet, Frederic
    Albert, Cecile Helene
    Thuiller, Wilfried
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2012, 3 (02): : 327 - 338
  • [5] Multiple environmental factors influence the spatial distribution and structure of reef communities in the northeastern Arabian Peninsula
    Bauman, Andrew G.
    Feary, David A.
    Heron, Scott F.
    Pratchett, Morgan S.
    Burt, John A.
    [J]. MARINE POLLUTION BULLETIN, 2013, 72 (02) : 302 - 312
  • [6] Beckensteiner J., 2023, Npj Ocean Sustainability, V2, P1, DOI DOI 10.1038/S44183-023-00010-0
  • [7] Climate change and marine fisheries: Least developed countries top global index of vulnerability
    Blasiak, Robert
    Spijkers, Jessica
    Tokunaga, Kanae
    Pittman, Jeremy
    Yagi, Nobuyuki
    Osterblom, Henrik
    [J]. PLOS ONE, 2017, 12 (06):
  • [8] Overcoming limitations of modelling rare species by using ensembles of small models
    Breiner, Frank T.
    Guisan, Antoine
    Bergamini, Ariel
    Nobis, Michael P.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2015, 6 (10): : 1210 - 1218
  • [9] Integrating Dynamic Subsurface Habitat Metrics Into Species Distribution Models
    Brodie, Stephanie
    Jacox, Michael G.
    Bograd, Steven J.
    Welch, Heather
    Dewar, Heidi
    Scales, Kylie L.
    Maxwel, Sara M.
    Briscoe, Dana M.
    Edwards, Christopher A.
    Crowder, Larry B.
    Lewison, Rebecca L.
    Hazen, Elliott L.
    [J]. FRONTIERS IN MARINE SCIENCE, 2018, 5
  • [10] Predicting overfishing and extinction threats in multispecies fisheries
    Burgess, Matthew G.
    Polasky, Stephen
    Tilman, David
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (40) : 15943 - 15948