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| Reiss, Henning; Birchenough, Silvana; Borja, Angel; Buhl-mortensen, Lene; Craeymeersch, Johan; Dannheim, Jennifer; Darr, Alexander; Galparsoro, Ibon; Gogina, Mayya; Neumann, Hermann; Populus, Jacques; Rengstorf, Anna M.; Valle, Mireia; Van Hoey, Gert; Zettler, Michael L.; Degraer, Steven. |
| Marine benthic ecosystems are difficult to monitor and assess, which is in contrast to modern ecosystem-based management requiring detailed information at all important ecological and anthropogenic impact levels. Ecosystem management needs to ensure a sustainable exploitation of marine resources as well as the protection of sensitive habitats, taking account of potential multiple-use conflicts and impacts over large spatial scales. The urgent need for large-scale spatial data on benthic species and communities resulted in an increasing application of distribution modelling (DM). The use of DM techniques enables to employ full spatial coverage data of environmental variables to predict benthic spatial distribution patterns. Especially, statistical DMs have... |
| Tipo: Text |
Palavras-chave: Ecosystem approach; Environmental monitoring; Habitat suitability modelling; Macrofauna; Mapping; Marine spatial planning (MSP); Predictive modelling; Species distribution modelling. |
| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00203/31405/29915.pdf |
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| Vasquez, Mickael; Mata Chacon, D.; Tempera, Fernando; O'Keeffe, Eimear; Galparsoro, Ibon; Sanz Alonso, J. L.; Goncalves, Jorge M. S.; Bentes, Luis; Amorim, Patricia; Henriques, Victor; Mcgrath, Fergal; Monteiro, Pedro; Mendes, Beatriz; Freitas, Rosa; Martins, Roberto; Populus, Jacques. |
| If marine management policies and actions are to achieve long-term sustainable use and management of the marine environment and its resources, they need to be informed by data giving the spatial distribution of seafloor habitats over large areas. Broad-scale seafloor habitat mapping is an approach which has the benefit of producing maps covering large extents at a reasonable cost. This approach was first investigated by Roff et al. (2003), who, acknowledging that benthic communities are strongly influenced by the physical characteristics of the seafloor, proposed overlaying mapped physical variables using a Geographic Information System (GIS) to produce an integrated map of the physical characteristics of the seafloor. In Europe the method was adapted to... |
| Tipo: Text |
Palavras-chave: Habitat Mapping; EUNIS; Exposure; Biological Zones; Substrate. |
| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00216/32744/31149.pdf |
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| Galparsoro, Ibon; Connor, David W.; Borja, Angel; Aish, Annabelle; Amorim, Patricia; Bajjouk, Touria; Chambers, Caroline; Coggan, Roger; Dirberg, Guillaume; Ellwood, Helen; Evans, Douglas; Goodin, Kathleen L.; Grehan, Anthony; Haldin, Jannica; Howell, Kerry; Jenkins, Chris; Michez, Noemie; Mo, Giulia; Buhl-mortensen, Pal; Pearce, Bryony; Populus, Jacques; Salomidi, Maria; Sanchez, Francisco; Serrano, Alberto; Shumchenia, Emily; Tempera, Fernando; Vasquez, Mickael. |
| The EUNIS (European Union Nature Information System) habitat classification system aims to provide a common European reference set of habitat types within a hierarchical classification, and to cover all terrestrial, freshwater and marine habitats of Europe. The classification facilitates reporting of habitat data in a comparable manner, for use in nature conservation (e.g. inventories, monitoring and assessments), habitat mapping and environmental management. For the marine environment the importance of a univocal habitat classification system is confirmed by the fact that many European initiatives, aimed at marine mapping, assessment and reporting, are increasingly using EUNIS habitat categories and respective codes. For this reason substantial efforts... |
| Tipo: Text |
Palavras-chave: Habitat classification scheme; EUNIS; Marine habitats; Habitat mapping. |
| Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00125/23663/22686.pdf |
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