Reprint of : Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries

@article{zu Ermgassen2021,
  Title = {Reprint of : Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries},
  Author = {zu Ermgassen, Philine S.E. and Mukherjee, Nibedita and Worthington, Thomas A. and Acosta, Alejandro and Rocha Araujo, Ana Rosa da and Beitl, Christine M. and Castellanos-Galindo, Gustavo A. and Cunha-Lignon, Marília and Dahdouh-Guebas, Farid and Diele, Karen and Parrett, Cara L. and Dwyer, Patrick G. and Gair, Jonathan R. and Johnson, Andrew Frederick and Kuguru, Baraka and Savio Lobo, Aaron and Loneragan, Neil R. and Longley-Wood, Kate and Mendonça, Jocemar Tomasino and Meynecke, Jan-Olaf and Mandal, Roland Nathan and Munga, Cosmas Nzaka and Reguero, Borja G. and Rönnbäck, Patrik and Thorley, Julia and Wolff, Matthias and Spalding, Mark},
  Editor = {},
  Year = {2021},
  Pages = {107159},
  Volume = {248},
  Doi = {10.1016/j.ecss.2020.107159},
  Abstract = {Mangroves are critical nursery habitats for fish and invertebrates, providing livelihoods for many coastal communities. Despite their importance, there is currently no estimate of the number of fishers engaged in mangrove associated fisheries, nor of the fishing intensity associated with mangroves at a global scale. We address these gaps by developing a global model of mangrove associated fisher numbers and mangrove fishing intensity. To develop the model, we undertook a three-round Delphi process with mangrove fisheries experts to identify the key drivers of mangrove fishing intensity. We then developed a conceptual model of intensity of mangrove fishing using those factors identified both as being important and for which appropriate global data could be found or developed. These factors were non-urban population, distance to market, distance to mangroves and other fishing grounds, and storm events. By projecting this conceptual model using geospatial datasets, we were able to estimate the number and distribution of mangrove associated fishers and the intensity of fishing in mangroves. We estimate there are 4.1 million mangrove associated fishers globally, with the highest number of mangrove fishers found in Indonesia, India, Bangladesh, Myanmar, and Brazil. Mangrove fishing intensity was greatest throughout Asia, and to a lesser extent West and Central Africa, and Central and South America.},
}

TY  - JOUR
AU  - zu Ermgassen, Philine S.E.
AU  - Mukherjee, Nibedita
AU  - Worthington, Thomas A.
AU  - Acosta, Alejandro
AU  - Rocha Araujo, Ana Rosa da
AU  - Beitl, Christine M.
AU  - Castellanos-Galindo, Gustavo A.
AU  - Cunha-Lignon, Marília
AU  - Dahdouh-Guebas, Farid
AU  - Diele, Karen
AU  - Parrett, Cara L.
AU  - Dwyer, Patrick G.
AU  - Gair, Jonathan R.
AU  - Johnson, Andrew Frederick
AU  - Kuguru, Baraka
AU  - Savio Lobo, Aaron
AU  - Loneragan, Neil R.
AU  - Longley-Wood, Kate
AU  - Mendonça, Jocemar Tomasino
AU  - Meynecke, Jan-Olaf
AU  - Mandal, Roland Nathan
AU  - Munga, Cosmas Nzaka
AU  - Reguero, Borja G.
AU  - Rönnbäck, Patrik
AU  - Thorley, Julia
AU  - Wolff, Matthias
AU  - Spalding, Mark
TI  - Reprint of : Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries
PY  - 2021
SP  - 107159
VL  - 248
DO  - 10.1016/j.ecss.2020.107159
AB  - Mangroves are critical nursery habitats for fish and invertebrates, providing livelihoods for many coastal communities. Despite their importance, there is currently no estimate of the number of fishers engaged in mangrove associated fisheries, nor of the fishing intensity associated with mangroves at a global scale. We address these gaps by developing a global model of mangrove associated fisher numbers and mangrove fishing intensity. To develop the model, we undertook a three-round Delphi process with mangrove fisheries experts to identify the key drivers of mangrove fishing intensity. We then developed a conceptual model of intensity of mangrove fishing using those factors identified both as being important and for which appropriate global data could be found or developed. These factors were non-urban population, distance to market, distance to mangroves and other fishing grounds, and storm events. By projecting this conceptual model using geospatial datasets, we were able to estimate the number and distribution of mangrove associated fishers and the intensity of fishing in mangroves. We estimate there are 4.1 million mangrove associated fishers globally, with the highest number of mangrove fishers found in Indonesia, India, Bangladesh, Myanmar, and Brazil. Mangrove fishing intensity was greatest throughout Asia, and to a lesser extent West and Central Africa, and Central and South America.
ER  -