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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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| Sitas, Nadia; Harmáčková, Zuzana V.; Anticamara, Jonathan A.; Arneth, Almut; Badola, Ruchi; Biggs, Reinette; Blanchard, Ryan; Brotons, Lluis; Cantele, Matthew; Coetzer, Kaera; Dasgupta, Rajarshi; Den Belder, Eefje; Ghosh, Sonali; Guisan, Antoine; Gundimeda, Haripriya; Hamann, Meike; Harrison, Paula A.; Hashimoto, Shizuka; Hauck, Jennifer; Klatt, Brian J.; Kok, Kasper; Krug, Rainer M.; Niamir, Aidin; O'Farrell, Patrick J.; Okayasu, Sana; Palomo, Ignacio; Pereira, Laura M.; Riordan, Philip; Santos-martín, Fernando; Selomane, Odirilwe; Shin, Yunne-jai; Valle, Mireia. |
| Scenario analyses have been used in multiple science-policy assessments to better understand complex plausible futures. Scenario archetype approaches are based on the fact that many future scenarios have similar underlying storylines, assumptions, and trends in drivers of change, which allows for grouping of scenarios into typologies, or archetypes, facilitating comparisons between a large range of studies. The use of scenario archetypes in environmental assessments foregrounds important policy questions and can be used to codesign interventions tackling future sustainability issues. Recently, scenario archetypes were used in four regional assessments and one ongoing global assessment within the Intergovernmental Science-Policy Platform for Biodiversity... |
| Tipo: Text |
Palavras-chave: Assessment; Biodiversity; Decision making; Ecosystem services; Futures; Nature; Regional; Scenarios. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00516/62748/67140.pdf |
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| Soissons, Laura M.; Haanstra, Eeke P.; Van Katwijk, Marieke M.; Asmus, Ragnhild; Auby, Isabelle; Barille, Laurent; Brun, Fernando G.; Cardoso, Patricia G.; Desroy, Nicolas; Fournier, Jerome; Ganthy, Florian; Garmendia, Joxe-mikel; Godet, Laurent; Grilo, Tiago F.; Kadel, Petra; Ondiviela, Barbara; Peralta, Gloria; Puente, Araceli; Recio, Maria; Rigouin, Loic; Valle, Mireia; Herman, Peter M. J.; Bouma, Tjeerd J.. |
| Seagrass meadows form highly productive and valuable ecosystems in the marine environment. Throughout the year, seagrass meadows are exposed to abiotic and biotic variations linked to (i) seasonal fluctuations, (ii) short-term stress events such as, e.g., local nutrient enrichment, and (iii) small-scale disturbances such as, e.g., biomass removal by grazing. We hypothesized that short-term stress events and small-scale disturbances may affect seagrass chance for survival in temperate latitudes. To test this hypothesis we focused on seagrass carbon reserves in the form of starch stored seasonally in rhizomes, as these have been defined as a good indicator for winter survival. Twelve Zostera noltei meadows were monitored along a latitudinal gradient in... |
| Tipo: Text |
Palavras-chave: Carbon reserves; European Atlantic coast; Latitude; Resilience; Zostera noltei; Climate setting; Stress events. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00423/53420/54308.pdf |
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