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An evaluation of methods for modelling distribution of Patagonian insects RChHN
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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Benthos distribution modelling and its relevance for marine ecosystem management ArchiMer
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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Spatial interactions between saithe (Pollachius virens) and hake (Merluccius merluccius) in the North Sea ArchiMer
Cormon, Xochitl; Loots, Christophe; Vaz, Sandrine; Vermard, Youen; Marchal, Paul.
Spatial interactions between saithe (Pollachius virens) and hake (Merluccius merluccius) were investigated in the North Sea. Saithe is a well-established species in the North Sea, while occurrence of the less common hake has recently increased in the area. Spatial dynamics of these two species and their potential spatial interactions were explored using binomial generalized linear models (GLM) applied to the International Bottom Trawl Survey (IBTS) data from 1991 to 2012. Models included different types of variables: (i) abiotic variables including sediment types, temperature, and bathymetry; (ii) biotic variables including potential competitors and potential preys presence; and (iii) spatial variables. The models were reduced and used to predict and map...
Tipo: Text Palavras-chave: Biotic interactions; Competition; Generalized linear models; Hake; North Sea; Overlap; Predator-prey relationship; Saithe; Species distribution modelling.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00200/31146/29847.pdf
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Spatio-temporal variability in the distribution pattern of anglerfish species in the Mediterranean Sea ArchiMer
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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Statistical ecology comes of age ArchiMer
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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Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing? ArchiMer
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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