Published March 4, 2025
| Version v2
Dataset
Open
The global fish and invertebrate abundance value of mangroves dataset
Authors/Creators
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zu Ermgassen, Philine S.E.
(Contact person)1
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Worthington, Thomas A.2
- Gair, Jonathan R.3
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Garnett, Emma4
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Mukherjee, Nibedita5
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Longley-Wood, Kate6
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Nagelkerken, Ivan7
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Abrantes, Kátya8, 9
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Aburto-Oropeza, Octavio10
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Acosta, Alejandro11
- Araujo, Ana R.d.R.12
- Baker, Ronald13, 14
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Barnett, Adam8, 9
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Beitl, Christine15
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Benzeev, Rayna16
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Brookes, Justin17
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Castellanos-Galindo, Gustavo A.18, 19, 20
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Ching Chong, Ving21, 22
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Connolly, Rod M.23
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Cunha-Lignon, Marília24, 25
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Dahdouh-Guebas, Farid26, 27, 28, 25
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Diele, Karen29
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Dwyer, Patrick G.30
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Friess, Daniel A.31
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Grove, Thomas32
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Hoq, M. Enamul33
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Huijbers, Chantal34
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Hutchinson, Neil35, 36, 37, 38
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Johnson, Andrew F.39, 40
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Johnson, Ross41
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Knight, Jon42
- Krumme, Uwe43
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Kuguru, Baraka44
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Lee, Shing Yip45
- Lobo, Aaron Savio46
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Lugendo, Blandina R.47
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Meynecke, Jan-Olaf48
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Nzaka Munga, Cosmas49, 50
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Olds, Andrew D.51
- Parrett, Cara L.52
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Reguero, Borja G.53
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Rönnbäck, Patrik54
- Safryghin, Anna55
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Sheaves, Marcus56, 9
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Taylor, Matthew D.57
- Tomasino Mendonça, Jocemar58
- Wolff, Matthias59
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Waltham, Nathan35, 9
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Spalding, Mark D.60, 2
- 1. University of Edinburgh, Changing Oceans Group, Edinburgh, UK.
- 2. Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, UK
- 3. Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, 14476 Potsdam, Germany
- 4. Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK
- 5. Department of Social and Political Sciences, College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UK
- 6. The Nature Conservancy, Protect Oceans, Land, and Water Program. Boston, MA, USA
- 7. Southern Seas Ecology Laboratories, School of Biological Sciences, The University of Adelaide, DX 650 418, Adelaide, SA 5005, Australia
- 8. Biopixel Oceans Foundation, Cairns, QLD 4878, Australia
- 9. Marine Data Technology Hub, James Cook University, Townsville, QLD 4811, Australia
- 10. Marine Biology Research Division, Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
- 11. Gulf Caribbean Fisheries Institute, 58875 Overseas Hwy, Marathon, FL 33050, USA
- 12. Department of Fishing and Aquaculture Science, Federal University of Sergipe, Brazil
- 13. Stokes School of Marine and Environmental Sciences, University of South Alabama, Mobile, AL 36688, USA
- 14. Dauphin Island Sea Lab, Dauphin Island, AL 36528, USA
- 15. Department of Anthropology, University of Maine. 5773 South Stevens Hall. Orono, ME 04469, USA
- 16. Department of Environmental Sciences, Policy, and Management, University of California, Berkeley, CA 94720, USA
- 17. School of Biological Sciences, The University of Adelaide, DX 650 418, Adelaide, SA 5005, Australia
- 18. Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Germany
- 19. Freie Universität Berlin, Germany
- 20. Smithsonian Tropical Research Institute, Panama
- 21. Institute of Biological Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
- 22. Institute of Ocean & Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
- 23. Global Wetlands Project, Coastal and Marine Research Centre, Australian Rivers Institute, School of Environment and Science, Griffith University, QLD 4222, Australia
- 24. Department of Fisheries Resources and Aquaculture, São Paulo State University, Registro, Brazil
- 25. Mangrove Specialist Group (MSG), Species Survival Commission (SSC), International Union for the Conservation of Nature (IUCN), Zoological Society of London, London, UK
- 26. Systems Ecology and Resource Management Research Unit (SERM), Department of Organism Biology, Université Libre de Bruxelles - ULB, Av. F.D. Roosevelt 50, CPi 264/1, 1050, Brussels, Belgium
- 27. bDIV: Ecology, Evolution & Genetics, Biology Department, Vrije Universiteit Brussel - VUB, Pleinlaan 2, VUB-APNA-WE, 1050, Brussels, Belgium
- 28. Interfaculty Institute of Social-Ecological Transitions, Université Libre de Bruxelles - ULB, Av. F.D. Roosevelt 50, 1050, Brussels, Belgium
- 29. Centre for Conservation and Restoration Science; School of Applied Sciences, Edinburgh Napier University, Edinburgh, EH11 4BN, UK
- 30. Coastal Systems, New South Wales Department of Primary Industries Fisheries, Wollongbar, NSW 2477, Australia
- 31. Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA 70118, USA
- 32. Whale Wise, Swansea, UK
- 33. Bangladesh Fisheries Research Institute, Mymensingh 2201, Bangladesh
- 34. Naturalis Biodiversity Center, Leiden, the Netherlands
- 35. Centre for Tropical Water and Aquatic Ecosystem Research, James Cook University, Townsville, QLD 4811, Australia
- 36. Tropical Futures Institute, James Cook University Singapore, 149 Sims Drive, 387380, Singapore
- 37. Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, Australia
- 38. Associate Fellow, Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu, Malaysia
- 39. MarFishEco Fisheries Consultants Ltd, Edinburgh, UK
- 40. The Lyell Centre, Heriot-Watt University, Edinburgh, EH14 4AS, UK
- 41. James Cook University, Townsville, QLD 4811, Australia
- 42. Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia
- 43. Thünen-Institut für Ostseefischerei (OF), Thuenen Institute of Baltic Sea Fisheries, Alter Hafen Süd 2, 18069 Rostock, Germany
- 44. Tanzania Fisheries Research Institute, P.O. Box 9750, Dar es Salaam, Tanzania
- 45. Simon F.S. Li Marine Science Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- 46. Marine Wildlife Conservation Society - India
- 47. School of Aquatic Sciences and Fisheries Technology, University of Dar es Salaam, P.O. Box 60091, Dar es Salaam, Tanzania
- 48. Coastal and Marine Research Centre, Griffith University, QLD 4222, Australia
- 49. Department of Environment and Health Sciences, Marine and Fisheries Programme, Technical University of Mombasa, P.O. Box 90420 - 80100, Mombasa, Kenya
- 50. Department of Geography and Environmental Studies, School of Geography, University of the Witwatersrand, Johannesburg 2050, South Africa
- 51. School of Science, Technology and Engineering, University of the Sunshine Coast, Sunshine Coast, QLD, Australia
- 52. The Faraday Institute for Science and Religion, Madingley Road, Cambridge, CB3 0UB, UK
- 53. Coastal Science and Policy, University of California Santa Cruz, USA
- 54. Natural Resources and Sustainable Development, Department of Earth Sciences, Uppsala University, Sweden
- 55. Open Seas Trust, c/o J&H Mitchell, 51 Atholl Road, Pitlochry, PH16 5BU, UK
- 56. College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
- 57. Port Stephens Fisheries Institute, New South Wales Department of Primary Industries, Locked Bag 1, Nelson Bay, NSW 2315, Australia
- 58. Instituto de Pesca, Nucleo de Pesquisa do Litoral Sul, Av. Besnard, S/n. Cananeia, SP, CEP 11990-000, Brazil
- 59. Center for Tropical Marine Research (ZMT), Fahrenheitstrasse 6 D-28359 Bremen, Germany
- 60. The Nature Conservancy, Strada delle Tolfe, 14, Siena, Italy
Description
This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates.
Description of files
- Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data
R Scripts & Data
- This folder contain several R scripts and data files to used calculate the values in zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates.
Predictions*
Species Predictions
- all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.
- all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.
- all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.
Species Group Predictions
- all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).
Prediction Shapefiles
- Species Name Contractions.csv: file with key to name contractions in the shapefile datasets
- Shapfiles: spatial representations of the Predictions datasets based on the 1km2 grid
* N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum