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| TOGNELLI,MARCELO F; ROIG-JUÑENT,SERGIO A; MARVALDI,ADRIANA E; FLORES,GUSTAVO E; LOBO,JORGE M. |
| Various studies have shown that model performance may vary depending on the species being modelled, the study área, or the number of sampled localities, and suggest that it is necessary to assess which model is better for a particular situation. Thus, in this study we evalúate the performance of different techniques for modelling the distribution of Patagonian insects. We applied eight of the most widely used modelling methods (artificial neural networks, BIOCLIM, classification and regression trees, DOMAIN, generalized additive models, GARP, generalized linear models, and Maxent) to the distribution of ten Patagonian insect species. We compared model performance with five accuracy measures. To overeóme the problem of not having reliable absence data with... |
| Tipo: Journal article |
Palavras-chave: Expert opinión; Model evaluation; Patagonia; Pseudo-absence data; Species distribution modelling. |
| Ano: 2009 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-078X2009000300003 |
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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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| Gogina, Mayya; Zettler, Michael L.; Vanaverbeke, Jan; Dannheim, Jennifer; Van Hoey, Gert; Desroy, Nicolas; Wrede, Alexa; Reiss, Henning; Degraer, Steven; Van Lancker, Vera; Foveau, Aurelie; Braeckman, Ulrike; Fiorentino, Dario; Holstein, Jan; Birchenough, Silvana N.r.. |
| Bioturbation is one of the key mediators of biogeochemical processes in benthic habitats that can have a high contribution to seafloor functioning and benthic pelagic coupling in coastal waters. Previous studies on bioturbation were limited to point locations and extrapolations in single regions, but have not accounted for regional differences under changing environmental conditions, though there are indications that species contributions will differ across regions or with biotic and abiotic context. To capture those differences and assess global patterns and commonalities, multi-regional analyses are imperative. Here for the first time, bioturbation potential (BPc), a functional indicator of benthic community bioturbation, was estimated based on... |
| Tipo: Text |
Palavras-chave: Macrofauna traits; Bioturbation index; Biogeographic comparison; Species distribution modelling; Biodiversity attributes; Ecosystem management. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00593/70489/68655.pdf |
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| Barcala, Helena; Bellido, Jose Maria; Bellodi, Andrea; Carbonara, Pierluigi; Carlucci, Roberto; Casciaro, Loredane; Esteban, Antonio; Jadaud, Angelique; Massaro, Andrea; Peristaki, Panagiota; Melendez, Maria Jose; Perez Gil, José Luis; Salmeron, Francisca; Pennino, Maria Grazia. |
| The Mediterranean distributions of two species of anglerfish, the blackbellied anglerfish (Lophius budegassa) and the white anglerfish (Lophius piscatorius), were analysed from trawl survey data (MEDITS project – Spain, France, Italy and Greece) from 2006 to 2015 implementing a Delta model approach with residuals autocovariate boosted regression trees. Sea bottom temperature (SBT), sea bottom salinity (SBS), bathymetry, slope of the seabed and distance to the coast were considered possible predictors. The results show that the locations with a higher presence, abundance and biomass of L. budegassa are those with a depth range between 150 to 300 m, with an SBT range between 17.5 and 18.5°C, and SBS of 37-38 PSU. Similarly, L. piscatorius shows a higher... |
| Tipo: Text |
Palavras-chave: Lophius budegassa; Lophius piscatorius; Species distribution modelling; Mediterranean Sea. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00590/70185/68201.pdf |
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| Gimenez, Olivier; Buckland, Stephen T.; Morgan, Byron J. T.; Bez, Nicolas; Bertrand, Sophie; Choquet, Remi; Dray, Stephane; Etienne, Marie-pierre; Fewster, Rachel; Gosselin, Frederic; Merigot, Bastien; Monestiez, Pascal; Morales, Juan M.; Mortier, Frederic; Munoz, Francois; Ovaskainen, Otso; Pavoine, Sandrine; Pradel, Roger; Schurr, Frank M.; Thomas, Len; Thuiller, Wilfried; Trenkel, Verena; De Valpine, Perry; Rexstad, Eric. |
| The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and uncertainties inherent in ecology. Statistical ecology has gelled over the past decade as a discipline that moves away from describing patterns towards modelling the ecological processes that generate these patterns. Following the fourth International Statistical Ecology Conference (1–4 July 2014) in Montpellier, France, we analyse current trends in statistical ecology. Important advances in the analysis of individual movement, and in the modelling of population dynamics and species distributions, are made possible by the increasing use of hierarchical and hidden process models. Exciting research perspectives... |
| Tipo: Text |
Palavras-chave: Citizen science; Hidden Markov model; Hierarchical model; Movement ecology; Software package; Spatially explicit capture-recapture; Species distribution modelling; State-space model. |
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00249/36026/35298.pdf |
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| Meynard, Christine N.; Leroy, Boris; Kaplan, David. |
| Species distribution models (SDMs) have become one of the major predictive tools in ecology. However, multiple methodological choices are required during the modelling process, some of which may have a large impact on forecasting results. In this context, virtual species, i.e., the use of simulations involving a fictitious species for which we have perfect knowledge of its occurrence‐environment relationships and other relevant characteristics, have become increasingly popular to test SDMs. This approach provides for a simple virtual ecologist framework under which to test model properties, as well as the effects of the different methodological choices, and allows teasing out the effects of targeted factors with great certainty. This simplification is... |
| Tipo: Text |
Palavras-chave: Artificial species; Environmental niche models; Niche; Simulations; Species distribution modelling; Virtual ecologist. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00501/61308/64864.pdf |
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