Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Resilience, Regime Shifts, and Guided Transition under Climate Change: Examining the Practical Difficulties of Managing Continually Changing Systems Ecology and Society
Lin, Brenda B; CSIRO, Climate Adaptation Flagship; brenda.lin@csiro.au; Petersen, Brian; Michigan State University W.K. Kellogg Biological Station; petersenbri@gmail.com.
Managing terrestrial systems has become increasingly difficult under climate change as unidirectional shifts in climate conditions challenge the resilience of ecosystems to maintain their compositional structure and function. Despite the increased attention of resilience management to guide transformational change, questions remain as to how to apply resilience to manage transitions. Rather than pushing systems across thresholds into alternative states, climate change may create a stepwise progression of unknown transitional states that track changing climate conditions. Because of this uncertainty, we must find ways to guide transitioning systems across climate boundaries towards states that are socially and environmentally desirable. We propose to ease...
Tipo: Peer-Reviewed Insight Palavras-chave: Ecosystem function; Ecosystem structure; Resilience management; Species composition; Unidirectional shifts.
Ano: 2013
Imagem não selecionada

Imprime registro no formato completo
Integrated assessment of the spatial distribution and structural dynamics of deep benthic marine communities ArchiMer
Jansen, Jan; Dunstan, Piers K.; Hill, Nicole A.; Koubbi, Philippe; Melbourne‐thomas, Jessica; Causse, Romain; Johnson, Craig R..
Characterising the spatial distribution and variation of species communities and validating these characteristics with data from the field are key elements for an ecosystem‐based approach to management. However, models of species distributions that yield community structure are usually not linked to models of community dynamics, constraining understanding and management of the ecosystem, particularly in data‐poor regions. Here we use a qualitative network model to predict changes in Antarctic benthic community structure between major marine habitats characterised largely by seafloor depth and slope, and use multivariate mixture models of species distributions to validate the community dynamics. Further, we then assess how future increases in primary...
Tipo: Text Palavras-chave: Deep‐sea; Ecosystem structure; Ecosystem dynamic; Southern Ocean; Antarctica; Continental shelf; Upper slope; Species archetype model; Qualitative network model; Spatial model.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00599/71143/69460.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

Valid HTML 4.01 Transitional