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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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