Invading Ecological Networks
Dados Bibliográficos
| ID | 19903382 |
|---|---|
| Autores | Cang Hui (0000-0002-3660-8160, Stellenbosch University), David M Richardson (0000-0001-9574-8297, Stellenbosch University), David Richardson (0000-0002-1864-3907) |
| Ano | 2022 |
| Data de publicação | 2022-01-13 |
| Open Access | Sim |
| Tipo | BOOK |
| Periódico | Invading Ecological Networks (SOURCE_BOOK) |
| Editora | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/9781108778374 |
| OpenAlex | W3160190761 |
| Open Library | OL46576137M |
| ISBN | 9781108778374 |
| Idioma | EN |
| Referências citadas | 5 |
Until now, biological invasions have been conceptualised and studied mainly as a linear process: from introduction to establishment to spread. This volume charts a new course for the field, drawing on key developments in network ecology and complexity science. It defines an agenda for Invasion Science 2.0 by providing new framings and classification of research topics and by offering tentative solutions to vexing problems. In particular, it conceptualises a transformative ecosystem as an open adaptive network with critical transitions and turnover, with resident species heuristically learning and fine-tuning their niches and roles in a multiplayer eco-evolutionary game. It erects signposts pertaining to network interactions, structures, stability, dynamics, scaling, and invasibility. It is not a recipe book or a road map, but an atlas of possibilities: a 'hitchhiker's guide'
Biology · Complex adaptive system · Ecological network · Ecological niche · Ecosystem · Field (mathematics) · Geography · Habitat · Sociology · Transformative learning · Computer Science · Ecology · Evolutionary Game Theory and Cooperation · Mathematics
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |