Predicting global distribution of the giant kelp <italic style="font-style: italic">Macrocystis</italic> <italic style="font-style: italic">pyrifera</italic> under climate warming

Shuxiang RUAN; Ke SUN; Yitao WANG; Xiaowen ZHANG; Dong XU; Xiao FAN; Wei WANG; Pengyan ZHANG; Lepu WANG; Naihao YE

doi:10.1007/s00343-025-5055-7

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Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming

Ecology | Updated：2026-03-26

- Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming
- Journal of Oceanology and Limnology Vol. 44, Issue 1, Pages: 160-173(2026)
- Affiliations：
  
  1.College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
  2.National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
  3.Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China
- Author bio：
  
  yenh@ysfri.ac.cn
- Funds：
- DOI：10.1007/s00343-025-5055-7
  CLC：
- Received：05 September 2024，
  
  Accepted：01 March 2025，
  
  Online First：07 April 2025，
  
  Published：01 January 2026
- Accepted：
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RUAN Shuxiang,SUN Ke,WANG Yitao,et al.Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming[J].Journal of Oceanology and Limnology,2026,44(01):160-173.
DOI：

RUAN Shuxiang,SUN Ke,WANG Yitao,et al.Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming[J].Journal of Oceanology and Limnology,2026,44(01):160-173. DOI： 10.1007/s00343-025-5055-7.

摘要

Abstract

Giant kelp

Macrocystis

pyrifera

an important foundation species with great ecological and economic value

is threatened by climate change. To better understand the impact of climate warming on

pyrifera

we investigated its global distribution dynamics by an optimized species distribution model (SDM). Results showed that wave height

sea surface temperature

benthic temperature

and benthic phosphate concentration were key factors shaping the distribution of

pyrifera

. In addition to currently known distribution regions

the model revealed potential suitable habitats globally. Under future climate scenarios

the habitat suitability of

pyrifera

would decrease at low latitudes and increase at high latitudes

resulting in a poleward shift of suitable habitats. In the regions currently occupied by

pyrifera

the high suitable habitats were predicted to shrink

which implies that the existing

pyrifera

would be adversely impacted. These results serve as references for the conservation and utilization of

pyrifera

resource.

关键词

Keywords

references

Ahmad R , Khuroo A A , Charles B et al . 2019 . Global distribution modelling, invasion risk assessment and niche dynamics of Leucanthemum vulgare (Ox-eye Daisy) under climate change . Scientific Reports , 9 ( 1 ): 11395 , https://doi.org/10.1038/s41598-019-47859-1 https://doi.org/10.1038/s41598-019-47859-1 .

Arafeh-Dalmau N , Montaño-Moctezuma G , Martínez J A et al . 2019 . Extreme marine heatwaves alter kelp forest community near its equatorward distribution limit. Frontiers in Marine Science , 6 : 499 , https://doi.org/10.3389/fmars.2019.00499 https://doi.org/10.3389/fmars.2019.00499 .

Assis J , Alberto F , Macaya E C et al . 2023 . Past climate-driven range shifts structuring intraspecific biodiversity levels of the giant kelp ( Macrocystis pyrifera ) at global scales . Scientific Reports , 13 ( 1 ): 12046 , https://doi.org/10.1038/s41598-023-38944-7 https://doi.org/10.1038/s41598-023-38944-7 .

Assis J , Fragkopoulou E , Frade D et al . 2020 . A fine-tuned global distribution dataset of marine forests . Scientific Data , 7 ( 1 ): 119 , https://doi.org/10.1038/s41597-020-0459-x https://doi.org/10.1038/s41597-020-0459-x .

Assis J , Fragkopoulou E , Gouvêa L et al . 2024 . Kelp forest diversity under projected end-of-century climate change . Diversity and Distributions , 30 ( 6 ): e 13837 , https://doi.org/10.1111/ddi.13837 https://doi.org/10.1111/ddi.13837 .

Assis J , Serrão E A , Duarte C M et al . 2022 . Major expansion of marine forests in a warmer Arctic. Frontiers in Marine Science , 9 : 850368 , https://doi.org/10.3389/fmars.2022.850368 https://doi.org/10.3389/fmars.2022.850368 .

Assis J , Tyberghein L , Bosch S et al . 2018 . Bio-ORACLE v2.0: extending marine data layers for bioclimatic modelling . Global Ecology and Biogeography , 27 ( 3 ): 277 - 284 , https://doi.org/10.1111/geb.12693 https://doi.org/10.1111/geb.12693 .

Batista M B , Anderson A B , Sanches P F et al . 2018 . Kelps’ long-distance dispersal: role of ecological/oceanographic processes and implications to marine forest conservation . Diversity , 10 ( 1 ): 11 , https://doi.org/10.3390/d10010011 https://doi.org/10.3390/d10010011 .

Bell T W , Allen J G , Cavanaugh K C et al . 2020 . Three decades of variability in California’s giant kelp forests from the Landsat satellites. Remote Sensing of Environment , 238 : 110811 , https://doi.org/10.1016/j.rse.2018.06.039 https://doi.org/10.1016/j.rse.2018.06.039 .

Beyer H L , Kennedy E V , Beger M et al . 2018 . Risk-sensitive planning for conserving coral reefs under rapid climate change . Conservation Letters , 11 ( 6 ): e 12587 , https://doi.org/10.1111/conl.12587 https://doi.org/10.1111/conl.12587 .

Brown S C , Mellin C , García Molinos J et al . 2022 . Faster ocean warming threatens richest areas of marine biodiversity . Global Change Biology , 28 ( 19 ): 5849 - 5858 , https://doi.org/10.1111/gcb.16328 https://doi.org/10.1111/gcb.16328 .

Butler C L , Lucieer V L , Wotherspoon S J et al . 2020 . Multi-decadal decline in cover of giant kelp Macrocystis pyrifera at the southern limit of its Australian range . Marine Ecology Progress Series , 653 : 1 - 18 , https://doi.org/10.3354/meps13510 https://doi.org/10.3354/meps13510 .

Camus C , Infante J , Buschmann A H . 2018 . Overview of 3 year precommercial seafarming of Macrocystis pyrifera along the Chilean coast . Reviews in Aquaculture , 10 ( 3 ): 543 - 559 , https://doi.org/10.1111/raq.12185 https://doi.org/10.1111/raq.12185 .

Cavanaugh K C , Siegel D A , Reed D C et al . 2011 . Environmental controls of giant-kelp biomass in the Santa Barbara Channel, California . Marine Ecology Progress Series , 429 : 1 - 17 , https://doi.org/10.3354/meps09141 https://doi.org/10.3354/meps09141 .

Chen J , Yang S T , Li H W et al . 2013 . Research on geographical environment unit division based on the method of natural breaks (Jenks) . The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-4/W 3 ( 4 ): 47 - 50 , https://doi.org/10.5194/isprsarchives-XL-4-W3-47-2013 https://doi.org/10.5194/isprsarchives-XL-4-W3-47-2013 .

Chen S H , Xiao Y S , Xiao Z Z et al . 2024 . Global climate change impacts on the potential distribution of typical Trachinotus fishes and early warning assessment of invasions. Environmental Research , 263 : 120115 , https://doi.org/10.1016/j.envres.2024.120115 https://doi.org/10.1016/j.envres.2024.120115 .

Davis T R , Champion C , Coleman M A . 2022 . Ecological interactions mediate projected loss of kelp biomass under climate change . Diversity and Distributions , 28 ( 2 ): 306 - 317 , https://doi.org/10.1111/ddi.13462 https://doi.org/10.1111/ddi.13462 .

Dormann C F , Elith J , Bacher S et al . 2013 . Collinearity: a review of methods to deal with it and a simulation study evaluating their performance . Ecography , 36 ( 1 ): 27 - 46 , https://doi.org/10.1111/j.1600-0587.2012.07348.x https://doi.org/10.1111/j.1600-0587.2012.07348.x .

Du Y Q , Zhang J , Jueterbock A et al . 2022 . Prediction of the dynamic distribution for Eucheuma denticulatum (Rhodophyta, Solieriaceae) under climate change in the Indo-Pacific Ocean. Marine Environmental Research , 180 : 105730 , https://doi.org/10.1016/j.marenvres.2022.105730 https://doi.org/10.1016/j.marenvres.2022.105730 .

Eger A M , Marzinelli E M , Beas-Luna R et al . 2023 . The value of ecosystem services in global marine kelp forests . Nature Communications , 14 ( 1 ): 1894 , https://doi.org/10.1038/s41467-023-37385-0 https://doi.org/10.1038/s41467-023-37385-0 .

Elith J , Phillips S J , Hastie T et al . 2011 . A statistical explanation of MaxEnt for ecologists . Diversity and Distributions , 17 ( 1 ): 43 - 57 , https://doi.org/10.1111/j.1472-4642.2010.00725.x https://doi.org/10.1111/j.1472-4642.2010.00725.x .

Espriella M , Schaper T , Atchia A et al . 2019 . Habitat mapping of giant kelp ( Macrocystis pyrifera ) and devil weed ( Sargassum horneri ) off the coast of Santa Catalina Island, California . McGill Science Undergraduate Research Journal , 14 ( 1 ): 34 - 39 , https://doi.org/10.26443/msurj.v14i1.51 https://doi.org/10.26443/msurj.v14i1.51 .

Fernández P A , Navarro J M , Camus C et al . 2021 . Effect of environmental history on the habitat-forming kelp Macrocystis pyrifera responses to ocean acidification and warming: a physiological and molecular approach . Scientific Reports , 11 ( 1 ): 2510 , https://doi.org/10.1038/s41598-021-82094-7 https://doi.org/10.1038/s41598-021-82094-7 .

Fielding A H , Bell J F . 1997 . A review of methods for the assessment of prediction errors in conservation presence/absence models . Environmental Conservation , 24 ( 1 ): 38 - 49 , https://doi.org/10.1017/S0376892997000088 https://doi.org/10.1017/S0376892997000088 .

Gonzalez-Aragon D , Rivadeneira M M , Lara C et al . 2024 . A species distribution model of the giant kelp Macrocystis pyrifera : worldwide changes and a focus on the Southeast Pacific . Ecology and Evolution , 14 ( 3 ): e 10901 , https://doi.org/10.1002/ece3.10901 https://doi.org/10.1002/ece3.10901 .

Gouvêa L , Fragkopoulou E , Legrand T et al . 2024 . Range map data of marine ecosystem structuring species under global climate change. Data in Brief , 52 : 110023 , https://doi.org/10.1016/j.dib.2023.110023 https://doi.org/10.1016/j.dib.2023.110023 .

Graham M H , Vásquez J A , Buschmann A H . 2007 . Global ecology of the giant kelp Macrocystis : from ecotypes to ecosystems . Oceanography and Marine Biology , 45 : 39 - 88 , https://doi.org/10.1201/9781420050943.ch2 https://doi.org/10.1201/9781420050943.ch2 .

Hepburn C D , Holborow J D , Wing S R et al . 2007 . Exposure to waves enhances the growth rate and nitrogen status of the giant kelp Macrocystis pyrifera . Marine Ecology Progress Series , 339 : 99 - 108 , https://doi.org/10.3354/meps339099 https://doi.org/10.3354/meps339099 .

Hernández-Urcera J , Murillo F J , Regueira M et al . 2021 . Preferential habitats prediction in syngnathids using species distribution models. Marine Environmental Research , 172 : 105488 , https://doi.org/10.1016/j.marenvres.2021.105488 https://doi.org/10.1016/j.marenvres.2021.105488 .

Hirzel A H , Le Lay G , Helfer V et al . 2006 . Evaluating the ability of habitat suitability models to predict species presences . Ecological Modelling , 199 ( 2 ): 142 - 152 , https://doi.org/10.1016/j.ecolmodel.2006.05.017 https://doi.org/10.1016/j.ecolmodel.2006.05.017 .

Hodapp D , Roca I T , Fiorentino D et al . 2023 . Climate change disrupts core habitats of marine species . Global Change Biology , 29 ( 12 ): 3304 - 3317 , https://doi.org/10.1111/gcb.16612 https://doi.org/10.1111/gcb.16612 .

Jayathilake D R M , Costello M J . 2020 . A modelled global distribution of the kelp biome. Biological Conservation , 252 : 108815 , https://doi.org/10.1016/j.biocon.2020.108815 https://doi.org/10.1016/j.biocon.2020.108815 .

Johnson C R , Banks S C , Barrett N S et al . 2011 . Climate change cascades: shifts in oceanography, species’ ranges and subtidal marine community dynamics in eastern Tasmania . Journal of Experimental Marine Biology and Ecology , 400 ( 1-2 ): 17 - 32 , https://doi.org/10.1016/j.jembe.2011.02.032 https://doi.org/10.1016/j.jembe.2011.02.032 .

Kass J M , Muscarella R , Galante P J et al . 2021 . ENMeval 2.0: redesigned for customizable and reproducible modeling of species’ niches and distributions . Methods in Ecology and Evolution , 12 ( 9 ): 1602 - 1608 , https://doi.org/10.1111/2041-210x.13628 https://doi.org/10.1111/2041-210x.13628 .

Kregting L , Blight A , Elsäßer B et al . 2013 . The influence of water motion on the growth rate of the kelp Laminaria hyperborea . Journal of Experimental Marine Biology and Ecology , 448 : 337 - 345 , https://doi.org/10.1016/j.jembe.2013.07.017 https://doi.org/10.1016/j.jembe.2013.07.017 .

Layton C , Vermont H , Beggs H et al . 2022 . Giant kelp rafts wash ashore 450 km from the nearest populations and against the dominant ocean current . Ecology , 103 ( 10 ): e 3795 , https://doi.org/10.1002/ecy.3795 https://doi.org/10.1002/ecy.3795 .

Li J J , Huang S H , Liu Z Y et al . 2020 . Climate-driven range shifts of brown seaweed Sargassum horneri in the northwest Pacific. Frontiers in Marine Science , 7 : 570881 , https://doi.org/10.3389/fmars.2020.570881 https://doi.org/10.3389/fmars.2020.570881 .

Li J J , Liu Z Y , Song W H et al . 2024 . The contribution of intraspecific variation to future climate responses of brown algae . Limnology and Oceanography , 69 ( 1 ): 53 - 66 , https://doi.org/10.1002/lno.12441 https://doi.org/10.1002/lno.12441 .

Liu H D , Zhan Q M , Zhan M . 2017 . The uncertainties on the GIS based land suitability assessment for urban and rural planning. The International Archives of the Photogrammetry , Remote Sensing and Spatial Information Sciences , XLII-2-W7 : 523 - 530 , https://doi.org/10.5194/isprs-archives-XLII-2-W7-523-2017 https://doi.org/10.5194/isprs-archives-XLII-2-W7-523-2017 .

Losciale R , Day J C , Rasheed M A et al . 2024 . The vulnerability of world heritage seagrass habitats to climate change . Global Change Biology , 30 ( 1 ): e 17113 , https://doi.org/10.1111/gcb.17113 https://doi.org/10.1111/gcb.17113 .

Lowman H E , Emery K A , Dugan J E et al . 2022 . Nutritional quality of giant kelp declines due to warming ocean temperatures . Oikos , 2022 ( 7 ), https://doi.org/10.1111/oik.08619.

Mabin C J T , Johnson C R , Wright J T et al . 2019 . Physiological response to temperature, light, and nitrates in the giant kelp Macrocystis pyrifera from Tasmania, Australia . Marine Ecology Progress Series , 614 : 1 - 19 , https://doi.org/10.3354/meps12900 https://doi.org/10.3354/meps12900 .

Manca F , Benedetti-Cecchi L , Bradshaw C J A et al . 2024 . Projected loss of brown macroalgae and seagrasses with global environmental change . Nature Communications , 15 ( 1 ): 5344 , https://doi.org/10.1038/s41467-024-48273-6 https://doi.org/10.1038/s41467-024-48273-6 .

Mantas T P , Varotti C , Roveta C et al . 2022 . Mediterranean Sea shelters for the gold coral Savalia savaglia (Bertoloni, 1819): an assessment of potential distribution of a rare parasitic species. Marine Environmental Research , 179 : 105686 , https://doi.org/10.1016/j.marenvres.2022.105686 https://doi.org/10.1016/j.marenvres.2022.105686 .

Martínez B , Radford B , Thomsen M S et al . 2018 . Distribution models predict large contractions of habitat-forming seaweeds in response to ocean warming . Diversity and Distributions , 24 ( 10 ): 1350 - 1366 , https://doi.org/10.1111/ddi.12767 https://doi.org/10.1111/ddi.12767 .

Melo-Merino S M , Reyes-Bonilla H , Lira-Noriega A . 2020 . Ecological niche models and species distribution models in marine environments: a literature review and spatial analysis of evidence. Ecological Modelling , 415 : 108837 , https://doi.org/10.1016/j.ecolmodel.2019.108837 https://doi.org/10.1016/j.ecolmodel.2019.108837 .

Merow C , Smith M J , Silander Jr J A . 2013 . A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter . Ecography , 36 ( 10 ): 1058 - 1069 , https://doi.org/10.1111/j.1600-0587.2013.07872.x https://doi.org/10.1111/j.1600-0587.2013.07872.x .

Morales N S , Fernández I C , Baca-González V . 2017 . MaxEnt's parameter configuration and small samples: are we paying attention to recommendations? A systematic review . PeerJ , 5 : e 3093 , https://doi.org/10.7717/peerj.3093 https://doi.org/10.7717/peerj.3093 .

Mora-Soto A , Aguirre C , Iriarte J L et al . 2022 . A song of wind and ice: increased frequency of marine cold-spells in southwestern Patagonia and their possible effects on giant kelp forests . Journal of Geophysical Research: Oceans , 127 ( 6 ): e2021 JC 017801 , https://doi.org/10.1029/2021jc017801 https://doi.org/10.1029/2021jc017801 .

Moss R H , Edmonds J A , Hibbard K A et al . 2010 . The next generation of scenarios for climate change research and assessment . Nature , 463 ( 7282 ): 747 - 756 , https://doi.org/10.1038/nature08823 https://doi.org/10.1038/nature08823 .

Muscarella R , Galante P J , Soley-Guardia M et al . 2014 . ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models . Methods in Ecology and Evolution , 5 ( 11 ): 1198 - 1205 , https://doi.org/10.1111/2041-210x.12261 https://doi.org/10.1111/2041-210x.12261 .

Muth A F , Graham M H , Lane C E et al . 2019 . Recruitment tolerance to increased temperature present across multiple kelp clades . Ecology , 100 ( 3 ): e 02594 , https://doi.org/10.1002/ecy.2594 https://doi.org/10.1002/ecy.2594 .

Palacios M , Osman D , Ramírez J et al . 2021 . Photobiology of the giant kelp Macrocystis pyrifera in the land-terminating glacier fjord Yendegaia (Tierra del Fuego): a look into the future? Science of the Total Environment , 751 : 141810 , https://doi.org/10.1016/j.scitotenv.2020.141810 https://doi.org/10.1016/j.scitotenv.2020.141810 .

Phillips S J , Anderson R P , Dudík M et al . 2017 . Opening the black box: an open-source release of Maxent . Ecography , 40 ( 7 ): 887 - 893 , https://doi.org/10.1111/ecog.03049 https://doi.org/10.1111/ecog.03049 .

Phillips S J , Anderson R P , Schapire R E . 2006 . Maximum entropy modeling of species geographic distributions . Ecological Modelling , 190 ( 3-4 ): 231 - 259 , https://doi.org/10.1016/j.ecolmodel.2005.03.026 https://doi.org/10.1016/j.ecolmodel.2005.03.026 .

Phillips S J , Dudík M , Elith J et al . 2009 . Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data . Ecological Applications , 19 ( 1 ): 181 - 197 , https://doi.org/10.1890/07-2153.1 https://doi.org/10.1890/07-2153.1 .

Phillips S J , Dudík M . 2008 . Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation . Ecography , 31 ( 2 ): 161 - 175 , https://doi.org/10.1111/j.0906-7590.2008.5203.x https://doi.org/10.1111/j.0906-7590.2008.5203.x .

Robinson N M , Nelson W A , Costello M J et al . 2017 . A systematic review of marine-based species distribution models (SDMs) with recommendations for best practice. Frontiers in Marine Science , 4 : 421 , https://doi.org/10.3389/fmars.2017.00421 https://doi.org/10.3389/fmars.2017.00421 .

Rodriguez G E , Reed D C , Holbrook S J . 2016 . Blade life span, structural investment, and nutrient allocation in giant kelp . Oecologia , 182 ( 2 ): 397 - 404 , https://doi.org/10.1007/s00442-016-3674-6 https://doi.org/10.1007/s00442-016-3674-6 .

Rodriguez-Burgos A M , Briceño-Zuluaga F J , Jiménez J L Á et al . 2022 . The impact of climate change on the distribution of Sphyrna lewini in the tropical eastern Pacific. Marine Environmental Research , 180 : 105696 , https://doi.org/10.1016/j.marenvres.2022.105696 https://doi.org/10.1016/j.marenvres.2022.105696 .

Schmid M , Fernández P A , Gaitán-Espitia J D et al . 2020 . Stress due to low nitrate availability reduces the biochemical acclimation potential of the giant kelp Macrocystis pyrifera to high temperature. Algal Research , 47 : 101895 , https://doi.org/10.1016/j.algal.2020.101895 https://doi.org/10.1016/j.algal.2020.101895 .

Schwalm C R , Glendon S , Duffy P B . 2020 . RCP8.5 tracks cumulative CO 2 emissions . Proceedings of the National Academy of Sciences of the United States of America , 117 ( 33 ): 19656 - 19657 , https://doi.org/10.1073/pnas.2007117117 https://doi.org/10.1073/pnas.2007117117 .

Siqueira-Silva T , Martinez P A . 2023 . Impacts of climate change on the distribution of venomous Conus (Gastropoda: Conidae) species in the Indo-Pacific region. Marine Environmental Research , 192 : 106237 , https://doi.org/10.1016/j.marenvres.2023.106237 https://doi.org/10.1016/j.marenvres.2023.106237 .

Smale D A . 2020 . Impacts of ocean warming on kelp forest ecosystems . New Phytologist , 225 ( 4 ): 1447 - 1454 , https://doi.org/10.1111/nph.16107 https://doi.org/10.1111/nph.16107 .

Spillias S , Valin H , Batka M et al . 2023 . Reducing global land-use pressures with seaweed farming . Nature Sustainability , 6 ( 4 ): 380 - 390 , https://doi.org/10.1038/s41893-022-01043-y https://doi.org/10.1038/s41893-022-01043-y .

Stekoll M S , Peeples T N , Raymond A E T . 2021 . Mariculture research of Macrocystis pyrifera and Saccharina latissima in Southeast Alaska . Journal of the World Aquaculture Society , 52 ( 5 ): 1031 - 1046 , https://doi.org/10.1111/jwas.12765 https://doi.org/10.1111/jwas.12765 .

Tait L W , Thoral F , Pinkerton M H et al . 2021 . Loss of giant kelp, Macrocystis pyrifera , driven by marine heatwaves and exacerbated by poor water clarity in New Zealand. Frontiers in Marine Science , 8 : 721087 , https://doi.org/10.3389/fmars.2021.721087 https://doi.org/10.3389/fmars.2021.721087 .

Teagle H , Smale D A . 2018 . Climate-driven substitution of habitat-forming species leads to reduced biodiversity within a temperate marine community . Diversity and Distributions , 24 ( 10 ): 1367 - 1380 , https://doi.org/10.1111/ddi.12775 https://doi.org/10.1111/ddi.12775 .

Tyberghein L , Verbruggen H , Pauly K et al . 2012 . Bio-ORACLE: a global environmental dataset for marine species distribution modelling . Global Ecology and Biogeography , 21 ( 2 ): 272 - 281 , https://doi.org/10.1111/j.1466-8238.2011.00656.x https://doi.org/10.1111/j.1466-8238.2011.00656.x .

Van Vuuren D P , Edmonds J , Kainuma M et al . 2011 . The representative concentration pathways: an overview . Climatic Change , 109 ( 1 ): 5 , https://doi.org/10.1007/s10584-011-0148-z https://doi.org/10.1007/s10584-011-0148-z .

Wang F , Yuan X Z , Sun Y J et al . 2024 . Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality. Ecological Indicators , 158 : 111491 , https://doi.org/10.1016/j.ecolind.2023.111491 https://doi.org/10.1016/j.ecolind.2023.111491 .

Warren D L , Seifert S N . 2011 . Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria . Ecological Applications , 21 ( 2 ): 335 - 342 , https://doi.org/10.1890/10-1171.1 https://doi.org/10.1890/10-1171.1 .

Warren D L , Wright A N , Seifert S N et al . 2014 . Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern . Diversity and Distributions , 20 ( 3 ): 334 - 343 , https://doi.org/10.1111/ddi.12160 https://doi.org/10.1111/ddi.12160 .

Wiltshire K H , Tanner J E . 2020 . Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species. Ecological Modelling , 429 : 109071 , https://doi.org/10.1016/j.ecolmodel.2020.109071 https://doi.org/10.1016/j.ecolmodel.2020.109071 .

Xiao Y S , Liu J , Wei J H et al . 2023 . Future climate change accelerates the invasive rhythm of alien marine species: new insights into the invasive potential of the world’s aquaculture species red drum Sciaenops ocellatus . Ecological Indicators , 155 : 111069 , https://doi.org/10.1016/j.ecolind.2023.111069 https://doi.org/10.1016/j.ecolind.2023.111069 .

Xu Y , Ma L , Sui J X et al . 2022 . Potential effects of climate change on the habitat suitability of macrobenthos in the Yellow Sea and East China Sea. Marine Pollution Bulletin , 174 : 113238 , https://doi.org/10.1016/j.marpolbul.2021.113238 https://doi.org/10.1016/j.marpolbul.2021.113238 .

Yackulic C B , Chandler R , Zipkin E F et al . 2013 . Presence-only modelling using MAXENT: when can we trust the inferences? Methods in Ecology and Evolution , 4 ( 3 ): 236 - 243 , https://doi.org/10.1111/2041-210x.12004 https://doi.org/10.1111/2041-210x.12004 .

Zhang S , Liu X G , Li R M et al . 2021 . AHP-GIS and MaxEnt for delineation of potential distribution of Arabica coffee plantation under future climate in Yunnan, China. Ecological Indicators , 132 : 108339 , https://doi.org/10.1016/j.ecolind.2021.108339 https://doi.org/10.1016/j.ecolind.2021.108339 .

Zhou W Y , Li B X , Xu H et al . 2023 . Potential distribution of two economic laver species- Neoporphyra haitanensis and Neopyropia yezoensis under climate change based on MaxEnt prediction and phylogeographic profiling. Ecological Indicators , 150 : 110219 , https://doi.org/10.1016/j.ecolind.2023.110219 https://doi.org/10.1016/j.ecolind.2023.110219 .

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Biodiversity and biogeographic patterns of Nereididae (Annelida) across the Indo-Pacific Convergence Zone

The potential distribution of adult Antarctic krill in the Amundsen Sea

Relationship between flow speed variability of three tidewater glaciers and surface melt intensity in Greenland between 1979 and 2006

Related Author

Chenrui LI

Tiantian WANG

Xuwen WU

Jieyang WENG

Linlin ZHANG

Liang ZHAO

Qiulin LIU

Lulu LIU

Related Institution

Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, Institute of Oceanology, Chinese Academy of Sciences

Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences

College of Marine Science, University of Chinese Academy of Sciences

Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center

Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture (CAS), Institute of Oceanology, Chinese Academy of Sciences

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Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming

DOI：10.1007/s00343-025-5055-7

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