Quantitative analysis of ecological networks:
Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overvie...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking for advice is also included |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 22 Feb 2021) |
| Beschreibung: | 1 Online-Ressource (x, 221 Seiten) |
| ISBN: | 9781108649018 |
| DOI: | 10.1017/9781108649018 |
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Datensatz im Suchindex
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| author | Dale, Mark R. T. 1951- Fortin, Marie-Josée 1958- |
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| dewey-full | 577.072/7 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.072/7 |
| dewey-search | 577.072/7 |
| dewey-sort | 3577.072 17 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| doi_str_mv | 10.1017/9781108649018 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:34:30Z |
| indexdate | 2024-07-10T09:09:27Z |
| institution | BVB |
| isbn | 9781108649018 |
| language | English |
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| physical | 1 Online-Ressource (x, 221 Seiten) |
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| spelling | Dale, Mark R. T. 1951- (DE-588)173305857 aut Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto Cambridge Cambridge University Press 2021 1 Online-Ressource (x, 221 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 22 Feb 2021) Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking for advice is also included Ecology / Statistical methods Quantitative research System analysis Statistik (DE-588)4056995-0 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Quantitative Analyse (DE-588)4125311-5 gnd rswk-swf Ökologie (DE-588)4043207-5 s Statistik (DE-588)4056995-0 s Methode (DE-588)4038971-6 s DE-604 Quantitative Analyse (DE-588)4125311-5 s Fortin, Marie-Josée 1958- (DE-588)173760848 aut Erscheint auch als Druck-Ausgabe 978-1-108-49184-6 https://doi.org/10.1017/9781108649018 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dale, Mark R. T. 1951- Fortin, Marie-Josée 1958- Quantitative analysis of ecological networks Ecology / Statistical methods Quantitative research System analysis Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Methode (DE-588)4038971-6 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4043207-5 (DE-588)4038971-6 (DE-588)4125311-5 |
| title | Quantitative analysis of ecological networks |
| title_auth | Quantitative analysis of ecological networks |
| title_exact_search | Quantitative analysis of ecological networks |
| title_exact_search_txtP | Quantitative analysis of ecological networks |
| title_full | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_fullStr | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_full_unstemmed | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_short | Quantitative analysis of ecological networks |
| title_sort | quantitative analysis of ecological networks |
| topic | Ecology / Statistical methods Quantitative research System analysis Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Methode (DE-588)4038971-6 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| topic_facet | Ecology / Statistical methods Quantitative research System analysis Statistik Ökologie Methode Quantitative Analyse |
| url | https://doi.org/10.1017/9781108649018 |
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