Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados ArchiMer (2) Autor Certain, Gregoire (2) Filin, Anatoly (2) Husson, Berengere (2) Planque, Benjamin (2) Palavra-chave Climate change (2) Habitat suitability models (2) Quantile regression (2) Species distribution (2) Environmental drivers (1) Environmental niche (1) Generalized additive models (1) Limiting factors (1) Species shifts (1) Mais... Tipo do documento Text (2) Ano 2020 (2) País France (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Suitable habitats of fish species in the Barents Sea ArchiMer Husson, Berengere; Certain, Gregoire; Filin, Anatoly; Planque, Benjamin. Many marine species are shifting their distribution poleward in response to climate change. The Barents Sea, as a doorstep to the fast-warming Arctic, is experiencing large scale changes in its environment and its communities. This paper aims at understanding what environmental predictors limit fish species habitats in the Barents Sea and discuss their possible evolution in response to the warming of the Arctic. Species distribution models usually aim at predicting the probability of presence or the average abundance of a species, conditional on environmental drivers. A complementary approach is to determine suitable habitats by modelling the upper limit of a species’ response to environmental factors. Using quantile regressions, we model the upper limit... Tipo: Text Palavras-chave: Quantile regression; Habitat suitability models; Climate change; Species distribution; Species shifts; Environmental drivers. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00605/71682/70120.pdf Suitable habitats of fish species in the Barents Sea ArchiMer Husson, Berengere; Certain, Gregoire; Filin, Anatoly; Planque, Benjamin. Many marine species exhibit poleward migrations following climate change. The Barents Sea, a doorstep to the fast‐warming Arctic, is experiencing large scale changes in its environment and its communities. Tracking and anticipating changes for management and conservation purposes at the scale of the ecosystem necessitate quantitative knowledge on individual species distribution drivers. This paper aims at identifying the factors controlling demersal habitats in the Barents Sea, investigating for which species we can predict current and future habitats and inferring those most likely to respond to climate change. We used non‐linear quantile regressions (QGAM) to model the upper quantile of the biomass response of 33 fish species to 10 environmental... Tipo: Text Palavras-chave: Climate change; Environmental niche; Generalized additive models; Habitat suitability models; Limiting factors; Quantile regression; Species distribution. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00641/75352/76099.pdf Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco